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        {
            "id": 5594,
            "url": "https://svs.gsfc.nasa.gov/5594/",
            "result_type": "Visualization",
            "release_date": "2025-12-29T15:00:00-05:00",
            "title": "Los Angeles Palisades Wildfire, January 2025: Black Carbon, Weather, and Air Quality",
            "description": "NASA GEOS model visualization showing black carbon dispersal from the Palisades Fire overlaid with regional weather patterns and air quality indicators, January 2-14, 2025.",
            "hits": 368
        },
        {
            "id": 5593,
            "url": "https://svs.gsfc.nasa.gov/5593/",
            "result_type": "Visualization",
            "release_date": "2025-12-29T13:00:00-05:00",
            "title": "Tracking Weather Extremes: May 2025 Tornadoes and Flooding Across the Continental United States",
            "description": "Created with NASA's GEOS-FP 2km replay model, this visualization tracks May 2025's severe weather across the continental US. The visualization maps tornado paths and 24-hour precipitation data, revealing how tornadic activity and heavy rainfall combined to create compound disasters affecting communities from the Great Plains to the Southeast.",
            "hits": 198
        },
        {
            "id": 5572,
            "url": "https://svs.gsfc.nasa.gov/5572/",
            "result_type": "Visualization",
            "release_date": "2025-08-08T14:00:02-04:00",
            "title": "GEOS Aerosols",
            "description": "Aerosols are tiny solid or liquid particles that float in the atmosphere and can travel long distances, affecting air quality and visibility far from their sources. This visualization covers the period from August 1 to September 14, 2024, and is based on NASA's Goddard Earth Observing System (GEOS) model, which delivers realistic, high-resolution weather and aerosol data that enable customized environmental prediction and advances in AI research.",
            "hits": 2254
        },
        {
            "id": 5552,
            "url": "https://svs.gsfc.nasa.gov/5552/",
            "result_type": "Visualization",
            "release_date": "2025-06-23T09:00:00-04:00",
            "title": "Science On A Sphere: Aerosols in the Air",
            "description": "NASA merges observations, advanced models and computing power to monitor aerosols in the atmosphere. Aerosols are tiny invisible solid or liquid particles that float in the atmosphere and can travel long distances affecting air quality and visibility far from their source. These particles come from natural and human sources and include black carbon (orange/red), sea salt (cyan), dust (magenta) and sulfates (green).",
            "hits": 572
        },
        {
            "id": 5479,
            "url": "https://svs.gsfc.nasa.gov/5479/",
            "result_type": "Visualization",
            "release_date": "2025-05-30T00:00:00-04:00",
            "title": "Ocean Currents in equirectangular projection",
            "description": "Ocean flows beauty version.  The flows are colored by temperature data from 600 meters and deeper.  Flows above 600 meters deep are white. || These are ocean currents based on ECCO-2 data.   This is supplementary material that is related to the new Perpetual Ocean 2 tour.   These versions were created specifically for Science on a Sphere, but can be used for other purposes as well. || Ocean flows colored by salinity data || Ocean flows colored by temperature data || Beauty color bar ||",
            "hits": 595
        },
        {
            "id": 5517,
            "url": "https://svs.gsfc.nasa.gov/5517/",
            "result_type": "Visualization",
            "release_date": "2025-03-12T00:00:00-04:00",
            "title": "Antarctic Sea Ice Minimum, 2025",
            "description": "Antarctic sea ice minimum extent, March 1 2025 || antarctic_sea_ice_min_2025_print.jpg (1024x576) [79.2 KB] || antarctic_sea_ice_min_2025.png (3840x2160) [2.8 MB] || ",
            "hits": 241
        },
        {
            "id": 5217,
            "url": "https://svs.gsfc.nasa.gov/5217/",
            "result_type": "Visualization",
            "release_date": "2024-12-09T10:00:00-05:00",
            "title": "Northern California Fires in September 2020",
            "description": "This visualization shows the lightning over California on August 16 and 17, 2020 that caused 38 separate fires to ignite. These eventually combined into the August  Complex fire, the first recorded gigafire in California history, which burned until November 12 consuming 1,614 square miles (4,180 square kilometers). As the lightning fades, a series of images shows the smoke emanating from the fires on September 8 of that year. The visible smoke is followed by a series showing the Aerosol Optical Depth (a unitless quantitative metric of how much smoke is present in the atmosphere) as the smoke particles were transported across the Western US and Canada over a 10 day period. || geoxo_fires_v049_2024-02-21_0939.04321_print.jpg (1024x576) [185.9 KB] || geoxo_fires_v049_2024-02-21_0939.04321_searchweb.png (320x180) [78.6 KB] || geoxo_fires_v049_2024-02-21_0939.04321_thm.png (80x40) [5.6 KB] || geoxo_fires_v049_2024-02-21_0939_p30_1080p30.mp4 (1920x1080) [101.5 MB] || geoxo_fires_v049_2024-02-21_0939_1080p60.mp4 (1920x1080) [110.3 MB] || composite (3840x2160) [0 Item(s)] || composite (3840x2160) [0 Item(s)] || geoxo_fires_v049_2024-02-21_0939_2160p60.mp4 (3840x2160) [333.3 MB] || geoxo_fires_v049_2024-02-21_0939_p30_2160p30.mp4 (3840x2160) [322.9 MB] || geoxo_fires_v049_2024-02-21_0939_p30_2160p30.mp4.hwshow || ",
            "hits": 79
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        {
            "id": 5432,
            "url": "https://svs.gsfc.nasa.gov/5432/",
            "result_type": "Visualization",
            "release_date": "2024-12-01T00:00:00-05:00",
            "title": "PACE and SWOT",
            "description": "This visualization begins with a view of the PACE and SWOT satellites orbiting Earth. The camera then pushes into a region in the Atlantic Ocean, and a view of chlorophyll data from PACE.  Swaths of SWOT sea surface height anomaly data are added, with blues representing lower surface height and reds representing higher surface height. The PACE data then cycles between three layers of phytoplankton species - Picoeukaryotes, Prochlorococcus, and Synechococcus.",
            "hits": 101
        },
        {
            "id": 5333,
            "url": "https://svs.gsfc.nasa.gov/5333/",
            "result_type": "Visualization",
            "release_date": "2024-10-07T09:00:00-04:00",
            "title": "DYAMOND Global Carbon Dioxide for Fulldome",
            "description": "Global CO2 ppm for January-March of 2020. This camera move orbits the Earth from a distance. || dyamondPointCloud_12-4-2023b_dyamond_co2_anim_globe_orbit_dome4k.00200_print.jpg (1024x1024) [19.8 KB] || dyamondPointCloud_12-4-2023b_dyamond_co2_anim_globe_orbit_dome4k.00200_searchweb.png (320x180) [5.4 KB] || dyamondPointCloud_12-4-2023b_dyamond_co2_anim_globe_orbit_dome4k.00200_web.png (320x320) [6.0 KB] || dyamondPointCloud_12-4-2023b_dyamond_co2_anim_globe_orbit_dome4k.00200_thm.png (80x40) [751 bytes] || dyamondPointCloud_12-4-2023b_dyamond_co2_anim_globe_orbit_dome_2048p30_h264.mp4 (2048x2048) [2.2 MB] || dyamondPointCloud_12-4-2023b_dyamond_co2_anim_globe_orbit_dome4k [0 Item(s)] || dyamondPointCloud_12-4-2023b_dyamond_co2_anim_globe_orbit_dome4k_4096p30_h265.mp4 (4096x4096) [9.0 MB] || dyamondPointCloud_12-4-2023b_dyamond_co2_anim_globe_orbit_dome4k_4096p30_h265.mp4.hwshow || ",
            "hits": 152
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        {
            "id": 5196,
            "url": "https://svs.gsfc.nasa.gov/5196/",
            "result_type": "Visualization",
            "release_date": "2024-07-22T09:00:00-04:00",
            "title": "DYAMOND Global Carbon Dioxide",
            "description": "Global CO2 ppm for January-March of 2020. This camera move orbits the Earth from a distance. || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_3x3Hyperwall.00200_print.jpg (1024x576) [46.2 KB] || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_3x3Hyperwall.00200_searchweb.png (320x180) [31.3 KB] || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_3x3Hyperwall.00200_web.png (320x180) [31.3 KB] || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_3x3Hyperwall.00200_thm.png (80x40) [3.0 KB] || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_1080p30_h265.mp4 (1920x1080) [6.9 MB] || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_3x3Hyperwall (5760x3240) [0 Item(s)] || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_2160p30.mp4 (3840x2160) [68.4 MB] || ",
            "hits": 412
        },
        {
            "id": 14554,
            "url": "https://svs.gsfc.nasa.gov/14554/",
            "result_type": "Produced Video",
            "release_date": "2024-03-29T11:00:00-04:00",
            "title": "GOES-U Overview",
            "description": "NOAA’s GOES-U is the fourth and final satellite in the Geostationary Operational Environmental Satellites (GOES) – R Series,the Western Hemisphere’s most sophisticated weather-observing and environmental-monitoring system. The GOES-R Series provides advanced imagery and atmospheric measurements, real-time mapping of lightning activity, and monitoring of space weather.GOES-U will be renamed GOES-19 after it reaches geostationary orbit. Following a successful on-orbit checkout of its instruments and systems, NOAA plans to put GOES-19 into operational service, replacing GOES-16 as GOES East. GOES-19 will work in tandem with GOES-18, NOAA’s GOES West satellite. Together, GOES East and GOES West watch over more than half the globe – from the west coast of Africa to New Zealand. || ",
            "hits": 45
        },
        {
            "id": 5505,
            "url": "https://svs.gsfc.nasa.gov/5505/",
            "result_type": "Visualization",
            "release_date": "2024-03-25T12:18:00-04:00",
            "title": "Perpetual Ocean 2: Equirectangular",
            "description": "This page contains equirectangular versions of Perpetual Ocean 2's 'beauty version'.",
            "hits": 186
        },
        {
            "id": 14550,
            "url": "https://svs.gsfc.nasa.gov/14550/",
            "result_type": "Produced Video",
            "release_date": "2024-03-14T09:55:00-04:00",
            "title": "Hubble Tracks Jupiter’s Stormy Weather",
            "description": "The giant planet Jupiter, in all its banded glory, takes the spotlight in these new images from NASA's Hubble Space Telescope that capture both sides of the planet.Big enough to swallow Earth, the classic Great Red Spot storm stands out prominently in Jupiter’s atmosphere. To its lower right, at a more southerly latitude, is a feature sometimes dubbed Red Spot Jr. This giant storm, called an anticyclone, was the result of other storms merging in 1998 and 2000, and it first appeared red in 2006.Studying the planets in our solar system helps us understand our own weather patterns closer to home, and allows us to theorize what potential exoplanet weather is like in other star systems in our universe.For more information, visit https://nasa.gov/hubble. Music Credit:\"From Seedling to Something\" by Matt Norman [PRS] via Freshworx Music Limited [PRS], and Universal Production Music. || ",
            "hits": 74
        },
        {
            "id": 14538,
            "url": "https://svs.gsfc.nasa.gov/14538/",
            "result_type": "Produced Video",
            "release_date": "2024-02-28T13:00:00-05:00",
            "title": "Antarctic Sea Ice Minimum 2024",
            "description": "On February 20th, 2024, Antarctic sea ice officially reached its minimum extent for the year. This cycle of growth and melting occurs every year, with the ice reaching its smallest size during the southern hemisphere's summer.This year's melt season concluded with a sea ice area of 768,000 square miles (1.99 million square kilometers) compared to the average minimum observed during the satellite era (1981-2010). That is slightly larger than the state of Texas. According to the National Snow and Ice Data Center, this marks the second-lowest sea ice extent recorded by satellites, reflecting a trend of declining coverage over time.The extent of sea ice is critical for polar ecosystems and has far-reaching implications for Earth's climate and weather patterns.NSIDC Press Release NSIDC AnalysisSVS Data Visualzation in Video || ",
            "hits": 212
        },
        {
            "id": 5230,
            "url": "https://svs.gsfc.nasa.gov/5230/",
            "result_type": "Visualization",
            "release_date": "2024-02-28T11:00:00-05:00",
            "title": "Antarctic Sea Ice Minimum, 2024",
            "description": "Antarctic sea ice minimum extent, February 20 2024 || antarctic_sea_ice_min_2024_print.jpg (1024x576) [63.6 KB] || antarctic_sea_ice_min_2024.png (3840x2160) [2.8 MB] || antarctic_sea_ice_min_2024_searchweb.png (320x180) [46.6 KB] || antarctic_sea_ice_min_2024_web.png (320x180) [46.6 KB] || antarctic_sea_ice_min_2024_thm.png (80x40) [4.9 KB] || ",
            "hits": 59
        },
        {
            "id": 31272,
            "url": "https://svs.gsfc.nasa.gov/31272/",
            "result_type": "Hyperwall Visual",
            "release_date": "2024-01-30T00:00:00-05:00",
            "title": "Weather on Exoplanet WASP-121b (Tylos)",
            "description": "This visualization has been adapted for hyperwall from the original release on hubblesite.org. An international team of astronomers assembled and reprocessed Hubble observations of exoplanet WASP-121 b, also known as Tylos, in the years 2016, 2018 and 2019. They found clear evidence that the observations of WASP-121 b were varying in time. The team then used sophisticated modelling techniques to demonstrate that these temporal variations could be explained by weather patterns in the exoplanet's atmosphere, specifically, massive cyclones that are repeatedly created and destroyed due to the huge temperature difference between the star-facing and dark side of the exoplanet. || ",
            "hits": 105
        },
        {
            "id": 5150,
            "url": "https://svs.gsfc.nasa.gov/5150/",
            "result_type": "Visualization",
            "release_date": "2023-09-26T17:00:00-04:00",
            "title": "GEOS-FP Near-Surface Humidity",
            "description": "Near-surface Humidity, also known as specific humidity (Q2M) from NASA’s GEOS-FP system. GEOS-FP combines millions of weather observations with a predictive model to create a global best estimate of weather conditions that are used to begin a forecast.",
            "hits": 115
        },
        {
            "id": 14327,
            "url": "https://svs.gsfc.nasa.gov/14327/",
            "result_type": "Produced Video",
            "release_date": "2023-04-12T06:00:00-04:00",
            "title": "NASA Interview Opportunity: Celebrate our Dynamic Planet with a NASA Expert this Earth Day",
            "description": "Click here for quick link to cut B-ROLL for interviewsScroll down promo videos for John Bolten and Lesley OttClick here for quick link to canned interview with Lesley Ott || 1_print.jpg (1024x512) [89.6 KB] || 1.jpeg (6912x3456) [1.4 MB] || 1_searchweb.png (320x180) [100.4 KB] || 1_thm.png (80x40) [7.8 KB] || ",
            "hits": 28
        },
        {
            "id": 13752,
            "url": "https://svs.gsfc.nasa.gov/13752/",
            "result_type": "Produced Video",
            "release_date": "2020-10-30T12:00:00-04:00",
            "title": "2020 Weather Patterns Push Antarctic Ozone Hole to 12th Largest on Record",
            "description": "A cold and stable Antarctic vortex supported the development of the 12th largest ozone hole on record in 2020. The hole reached its peak extent on September 20th at 24.8 million square kilometers. || ",
            "hits": 135
        },
        {
            "id": 31139,
            "url": "https://svs.gsfc.nasa.gov/31139/",
            "result_type": "Hyperwall Visual",
            "release_date": "2020-05-08T00:00:00-04:00",
            "title": "Earth: A System of Systems (updated)",
            "description": "All six time-synchronous datasets, individually and then layered two at a time || layered_pairs_1080p.00001_print.jpg (1024x576) [59.0 KB] || layered_pairs_1080p.00001_searchweb.png (320x180) [42.0 KB] || layered_pairs_1080p.00001_thm.png (80x40) [3.8 KB] || layered_pairs_720p.mp4 (1280x720) [83.6 MB] || layered_pairs_1080p.webm (1920x1080) [28.6 MB] || layered_pairs_1080p.mp4 (1920x1080) [157.7 MB] || layered_pairs_2160p.mp4 (3840x2160) [432.6 MB] || A_System_of_Systems_Updated_-_30701.pptx [436.3 MB] || ",
            "hits": 69
        },
        {
            "id": 4782,
            "url": "https://svs.gsfc.nasa.gov/4782/",
            "result_type": "Visualization",
            "release_date": "2020-03-04T00:00:00-05:00",
            "title": "Vegetation Index Anomalies and Rift Valley fever (RVF) outbreaks in South Africa region: 2008-2011",
            "description": "This visualization with corresponding data dashboard shows the relationship between vegetation index anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal vegetaion over land (green) and RVF outbreak locations (orange pins). || NDVI_RVF_SAfrica_Composite_3840x2160_2657_print.jpg (1024x576) [102.7 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_searchweb.png (320x180) [57.8 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_thm.png (80x40) [5.0 KB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [35.6 MB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.webm (1920x1080) [7.1 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || NDVI_RVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [72.6 MB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657.tif (3840x2160) [31.6 MB] || ",
            "hits": 36
        },
        {
            "id": 4783,
            "url": "https://svs.gsfc.nasa.gov/4783/",
            "result_type": "Visualization",
            "release_date": "2020-02-27T00:00:00-05:00",
            "title": "Precipitation Anomaly and Rift Valley fever (RVF) outbreaks in South Africa: 2008-2011",
            "description": "This visualization with corresponding data dashboard shows the relationship between precipitation anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal precipitation over land (blue) and RVF outbreak locations (orange pins). || PrecipRVF_SAfrica_Composite_3840x2160_3422_print.jpg (1024x576) [97.8 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_searchweb.png (320x180) [57.6 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_thm.png (80x40) [5.2 KB] || PrecipRVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [31.5 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || PrecipRVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [68.2 MB] || PrecipRVF_SAfrica_Composite_3840x2160_3422.tif (3840x2160) [4.0 MB] || PrecipRVF_SAfrica_Composite_3840x2160_p30.webm (3840x2160) [14.1 MB] || ",
            "hits": 25
        },
        {
            "id": 4724,
            "url": "https://svs.gsfc.nasa.gov/4724/",
            "result_type": "Visualization",
            "release_date": "2020-02-21T00:00:00-05:00",
            "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in Africa and Middle East during 2000-2018",
            "description": "Data visualization featuring vegetation index anomalies over Africa and Middle East and locations of Rift Valley Fever (RVF) outbreaks (orange pins) during the period of 2000-2018. Frames are provided in 4K resolution. || Africa_NDVIRVF_2000_2018_3840x2160_2430_print.jpg (1024x576) [78.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_searchweb.png (320x180) [48.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_thm.png (80x40) [4.4 KB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.mp4 (1920x1080) [88.7 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.webm (1920x1080) [25.5 MB] || Africa_NDVIRVF_2000_2018_Composite (3840x2160) [0 Item(s)] || Africa_NDVIRVF_2000_2018_3840x2160_2430.tif (3840x2160) [6.0 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_p30.mp4 (3840x2160) [283.2 MB] || ",
            "hits": 40
        },
        {
            "id": 4747,
            "url": "https://svs.gsfc.nasa.gov/4747/",
            "result_type": "Visualization",
            "release_date": "2020-02-21T00:00:00-05:00",
            "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in South Africa during 2009-2011",
            "description": "This visualization shows the relationship between vegetation index anomalies (Normalized Difference Vegetation Index - NDVI) data and outbreak locations of Rift Valley fever (RVf) during 2008 and 2011. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa slowly to take a closer look at the above normal vegetation (green) and RVF outbreak locations (orange pins). Frames are provided in 4K resolution. || SAfrica_NDVIRVFwDates_3840x2160_1263_print.jpg (1024x576) [86.2 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_searchweb.png (320x180) [56.0 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_thm.png (80x40) [4.5 KB] || SAfrica_NDVIRVFComposite_1080p30.mp4 (1920x1080) [31.6 MB] || SAfrica_NDVIRVFComposite_1080p30.webm (1920x1080) [7.0 MB] || Composite (3840x2160) [0 Item(s)] || SAfrica_NDVIRVFwDates_3840x2160_1263.tif (3840x2160) [7.6 MB] || SAfrica_NDVIRVFComposite_3840x2160_p30.mp4 (3840x2160) [96.4 MB] || ",
            "hits": 36
        },
        {
            "id": 4784,
            "url": "https://svs.gsfc.nasa.gov/4784/",
            "result_type": "Visualization",
            "release_date": "2020-02-21T00:00:00-05:00",
            "title": "ENSO Teleconnections and Rift Valley fever (RVF) Outbreaks",
            "description": "During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Index Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in  South Africa. || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_2960_print.jpg (1024x576) [107.8 KB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_searchweb.png (320x180) [63.0 KB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_thm.png (80x40) [6.5 KB] || ENSO_Teleconnections (1920x1080) [0 Item(s)] || SST_Precip_NDVI_Dashboard_2008_2011_1920x1080_p30.mp4 (1920x1080) [22.7 MB] || ENSO_Teleconnections (3840x2160) [0 Item(s)] || ENSO_Teleconnections (3840x2160) [0 Item(s)] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_p30.mp4 (3840x2160) [56.0 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_p30.webm (3840x2160) [10.2 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_2960.tif (3840x2160) [3.4 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525.tif (3840x2160) [3.4 MB] || ",
            "hits": 35
        },
        {
            "id": 13335,
            "url": "https://svs.gsfc.nasa.gov/13335/",
            "result_type": "Produced Video",
            "release_date": "2019-10-04T10:00:00-04:00",
            "title": "NASA’s Mission to Explore the Connection Between Earth’s Weather and Space",
            "description": "Broll and Canned Interviews will be added on October 9th at 5:45 a.m. Click HERE for audio sound bites with NASA Scientist Sarah Jones.Click HERE for a canned interview with NASA Scientist Alex Young.Click HERE for a canned interview with NASA Scientist Alex Young looking off camera. || Screen_Shot_2019-10-01_at_4.31.11_PM.png (2764x382) [2.0 MB] || Screen_Shot_2019-10-01_at_4.31.11_PM_print.jpg (1024x141) [52.3 KB] || Screen_Shot_2019-10-01_at_4.31.11_PM_searchweb.png (320x180) [112.1 KB] || Screen_Shot_2019-10-01_at_4.31.11_PM_thm.png (80x40) [6.6 KB] || ",
            "hits": 46
        },
        {
            "id": 13309,
            "url": "https://svs.gsfc.nasa.gov/13309/",
            "result_type": "Produced Video",
            "release_date": "2019-09-23T13:00:00-04:00",
            "title": "Arctic Sea Ice Reaches 2019 Minimum Extent",
            "description": "Music: Hiraeth by Anthony Edwin Phillips [PRS], James Edward CollinsComplete transcript available. || Arctic_Min_2019_Thumbnail_LKW.png (1920x1080) [2.2 MB] || Arctic_Min_2019_Thumbnail_LKW_print.jpg (1024x576) [102.3 KB] || Arctic_Min_2019_Thumbnail_LKW_searchweb.png (320x180) [88.1 KB] || Arctic_Min_2019_Thumbnail_LKW_thm.png (80x40) [6.9 KB] || Arctic_Min_2019_LKW.mov (1920x1080) [3.8 GB] || Arctic_Min_2019_LKW.webm (1920x1080) [19.9 MB] || Arctic_Min_2019_LKW.mp4 (1920x1080) [182.4 MB] || Arctic_Min_2019_LKW.en_US.srt [3.4 KB] || Arctic_Min_2019_LKW.en_US.vtt [3.3 KB] || ",
            "hits": 58
        },
        {
            "id": 4697,
            "url": "https://svs.gsfc.nasa.gov/4697/",
            "result_type": "Visualization",
            "release_date": "2019-02-28T09:00:00-05:00",
            "title": "ENSO teleconnections in South East Asia for the period of 2015-2016",
            "description": "The 2015-2016 strong El Niño event brought changes to weather conditions across the globe that triggered regional infectious disease outbreaks, including mosquito-borne dengue fever in South East Asia. This visualization with corresponding multi-plot graph shows how Sea Surface Temperature anomalies in the equatorial Pacific Ocean (left), resulted in anomalous drought conditions (center) and increase in land surface temperatures (right) in South East Asia.  During the 2015-2016 El Niño event, the South East Asia region received below than normal precipitation resulting in drier and warner than normal conditions, which increased the populations of mosquito vectors in urban areas, where there are open water storage containers providing ideal habitats for mosquito production. In addition, the higher than normal temperature on land shortens the maturation time of larvae to adult mosquitos and induces frequent blood feeding/biting of humans by mosquito vectors resulting in the amplification of dengue disease outbreaks over the South East Asia region. || SST_LST_Precip_2014_2016_Comp_print.jpg (1024x576) [82.9 KB] || SST_LST_Precip_2014_2016_Comp_searchweb.png (320x180) [51.5 KB] || SST_LST_Precip_2014_2016_Comp_thm.png (80x40) [6.0 KB] || SST_Precip_LST_Plot_Composite (1920x1080) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4 (1920x1080) [9.7 MB] || SST_LST_Precip_2014_2016_Comp.tif (1920x1080) [1.1 MB] || SST_LST_Precip_2014_2016_Comp_1080p30.webm (1920x1080) [4.2 MB] || TeleconnectionsSEAsia (3840x2160) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4.hwshow [203 bytes] || ",
            "hits": 82
        },
        {
            "id": 13096,
            "url": "https://svs.gsfc.nasa.gov/13096/",
            "result_type": "Produced Video",
            "release_date": "2018-10-18T13:00:00-04:00",
            "title": "ICON Pre-Launch Live Shots",
            "description": "B-roll and canned interviews will be added on Wednesday, Oct 24 by 6:00pm || ICON_WebBanner_2018.jpg (3792x597) [550.7 KB] || ICON_WebBanner_2018_print.jpg (1024x161) [101.5 KB] || ICON_WebBanner_2018_searchweb.png (320x180) [119.7 KB] || ICON_WebBanner_2018_thm.png (80x40) [6.5 KB] || ",
            "hits": 33
        },
        {
            "id": 40365,
            "url": "https://svs.gsfc.nasa.gov/gallery/earth-science-oct2018-briefing/",
            "result_type": "Gallery",
            "release_date": "2018-10-18T00:00:00-04:00",
            "title": "Earth Science Overview Oct 2018 Briefing",
            "description": "No description available.",
            "hits": 98
        },
        {
            "id": 40348,
            "url": "https://svs.gsfc.nasa.gov/gallery/esddatafor-societal-benefits/",
            "result_type": "Gallery",
            "release_date": "2018-04-24T00:00:00-04:00",
            "title": "ESD data for Societal Benefit",
            "description": "No description available.",
            "hits": 231
        },
        {
            "id": 12847,
            "url": "https://svs.gsfc.nasa.gov/12847/",
            "result_type": "Produced Video",
            "release_date": "2018-02-20T11:47:00-05:00",
            "title": "Warm World of 2017",
            "description": "2017 was the second hottest year on record. || cover.jpg (1024x576) [126.0 KB] || cover_print.jpg (1024x576) [125.2 KB] || cover_searchweb.png (320x180) [92.3 KB] || cover_thm.png (80x40) [7.4 KB] || ",
            "hits": 41
        },
        {
            "id": 4618,
            "url": "https://svs.gsfc.nasa.gov/4618/",
            "result_type": "Visualization",
            "release_date": "2018-01-31T00:00:00-05:00",
            "title": "Geostationary Operational Environmental Satellite (GOES) East and West",
            "description": "This animation depicts the areas of the Earth viewed by GOES-East and GOES-West from their vantage point 22,236 miles above the equator.This video is also available on our YouTube channel. || goes_EastWest.000945_print.jpg (1024x576) [50.9 KB] || goes_EastWest.000945_searchweb.png (320x180) [48.6 KB] || goes_EastWest.000945_thm.png (80x40) [2.9 KB] || goes_EastWest (1920x1080) [0 Item(s)] || goes_EastWest_1080p30.mp4 (1920x1080) [48.2 MB] || goes_EastWest_1080p30.webm (1920x1080) [6.5 MB] || goes_EastWest_1080p30.mp4.hwshow [187 bytes] || ",
            "hits": 173
        },
        {
            "id": 12771,
            "url": "https://svs.gsfc.nasa.gov/12771/",
            "result_type": "Produced Video",
            "release_date": "2017-11-09T11:00:00-05:00",
            "title": "NASA CubeSat to Test Miniaturized Weather Satellite Technology",
            "description": "Music: Let's Shape the Future by Tiny MusicComplete transcript available. || MiRaTA-v5-27OCT.00929_print.jpg (1024x576) [79.3 KB] || MiRaTA-v5-27OCT.00929_searchweb.png (320x180) [67.0 KB] || MiRaTA-v5-27OCT.00929_thm.png (80x40) [5.3 KB] || MiRaTA-v5-27OCT.mp4 (1920x1080) [235.1 MB] || MiRaTA-v5-27OCT.webm (1920x1080) [20.3 MB] || ESTO.en_US.srt [2.1 KB] || ESTO.en_US.vtt [2.1 KB] || ",
            "hits": 24
        },
        {
            "id": 12532,
            "url": "https://svs.gsfc.nasa.gov/12532/",
            "result_type": "Produced Video",
            "release_date": "2017-11-07T14:00:00-05:00",
            "title": "Welcome to the Ionosphere",
            "description": "Music credit: Foxy Trot by Luis Enriquez Bacalov Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || ionosphere_thumb.jpg (1920x1080) [69.9 KB] || ionosphere_thumb_searchweb.png (320x180) [57.3 KB] || ionosphere_thumb_thm.png (80x40) [6.3 KB] || APPLE_TV-12532_Welcome_to_the_ionosphere_bsideV4_appletv.webm (1280x720) [24.0 MB] || APPLE_TV-12532_Welcome_to_the_ionosphere_bsideV4_appletv.m4v (1280x720) [116.4 MB] || APPLE_TV-12532_Welcome_to_the_ionosphere_bsideV4_appletv_subtitles.m4v (1280x720) [116.5 MB] || YOUTUBE_1080-12532_Welcome_to_the_ionosphere_bsideV4_youtube_1080.mp4 (1920x1080) [346.2 MB] || NASA_TV-12532_Welcome_to_the_ionosphere_bsideV4.mpeg (1280x720) [691.7 MB] || 12532_Welcome_to_the_ionosphere_bsideV2_lowres.en_US.srt [3.8 KB] || 12532_Welcome_to_the_ionosphere_bsideV2_lowres.en_US.vtt [3.8 KB] || 12532_Welcome_to_the_ionosphere_bsideV4_lowres.mp4 (480x272) [29.2 MB] || LARGE_MP4-12532_Welcome_to_the_ionosphere_bsideV4_large.mp4 (3840x2160) [220.8 MB] || NASA_PODCAST-12532_Welcome_to_the_ionosphere_bsideV4_ipod_sm.mp4 (320x240) [37.3 MB] || 12532_Welcome_to_the_ionosphere_bsideV4.mov (3840x2160) [10.1 GB] || ",
            "hits": 175
        },
        {
            "id": 4590,
            "url": "https://svs.gsfc.nasa.gov/4590/",
            "result_type": "Visualization",
            "release_date": "2017-10-27T00:00:00-04:00",
            "title": "Southern Africa Drought",
            "description": "When a giant swell of warm water, known as El Niño emerged in the Pacific Ocean in 2015, scientists knew to look for impacts.  As El Niño changed global weather patterns Southern Africa went into severe drought. On top of already dry conditions, the region experienced its lowest rainfall in 35 years.With the Soil Moisture Active Passive (SMAP) mission, launched in 2015, NASA has dedicated soil moisture measurements for the first time – and could see this severe drought emerging.  SMAP's highly sensitive microwave radiometer detects the energy emitted by soil depending on how wet or how dry it is.  The old gardener's trick is to squeeze a handful of dirt in your hand and see whether it clumps or falls apart. Think of SMAP doing the same thing – with a lot more precision, all around the world, every 3 days.SMAP allowed us to see a connection between Pacific Ocean water temperatures and the moisture of the soil in Southern Africa. These measurements are now being put to operational use more than ever. SMAP's data was fed into the USDA's global crop yield forecasts – the Foreign Agriculture Service reports that help drive multi-billion dollar commodity markets around the world. In fact, the Foreign Ag Service scientist for this region said that with SMAP they now have the first reliable soil moisture data in 30 years.As crops failed and soils were left bare, we used the Terra and Aqua satellites to assess these effects on the vegetation from a local to regional scale.  The Normalized Differential Vegetation Index (NDVI) reflects the health of vegetation on the land surface.As this drought spread across Southern Africa, nearly 30 million people were at risk of drastic food shortages. Four out of 10 people did not have access to clean drinking water.The analyses and data provided by NASA scientists are also critical to a USAID program called the Famine Early Warning Systems Network. As food crises arise, the global view provided by NASA scientists informs decisions about where governments and relief agencies should send help.In Southern Africa in 2015 and 2016, nearly 350 million dollars of emergency water and food aid were delivered, in part based on NASA data, to aid millions of people.As the peak of the drought hits in January 2016, the animations show the low soil moisture conditions in Zambia, Zimbabwe, and Botswana. Correspondingly the low vegetation appears in that region as well. || ",
            "hits": 29
        },
        {
            "id": 12684,
            "url": "https://svs.gsfc.nasa.gov/12684/",
            "result_type": "Produced Video",
            "release_date": "2017-08-15T16:00:00-04:00",
            "title": "Earth Expedition: Studying Wildfires in a Warming Arctic",
            "description": "Music: Suspended Beauty by Laurent Dury [SACEM]Complete transcript available. || LARGE_MP4-Aug7_Wildfires_large.00529_print.jpg (1024x576) [58.4 KB] || LARGE_MP4-Aug7_Wildfires_large.00529_searchweb.png (320x180) [59.1 KB] || LARGE_MP4-Aug7_Wildfires_large.00529_thm.png (80x40) [4.7 KB] || WEBM-Aug7_Wildfires.webm (960x540) [13.5 MB] || LARGE_MP4-Aug7_Wildfires_large.mp4 (1920x1080) [35.0 MB] || APPLE_TV-Aug7_Wildfires_appletv.m4v (1280x720) [12.5 MB] || YOUTUBE_HQ-Aug7_Wildfires_youtube_hq.mov (1920x1080) [141.4 MB] || APPLE_TV-Aug7_Wildfires_appletv_subtitles.m4v (1280x720) [12.5 MB] || Aug7_Wildfires.en_US.srt [464 bytes] || Aug7_Wildfires.en_US.vtt [477 bytes] || NASA_PODCAST-Aug7_Wildfires_ipod_sm.mp4 (320x240) [4.8 MB] || ",
            "hits": 21
        },
        {
            "id": 11937,
            "url": "https://svs.gsfc.nasa.gov/11937/",
            "result_type": "Produced Video",
            "release_date": "2017-07-20T08:00:00-04:00",
            "title": "Earth's Energy Budget",
            "description": "Earth's energy budget is a metaphor for the delicate equilibrium between energy received from the Sun versus energy radiated back out in to space. Research into precise details of Earth's energy budget is vital for understanding how the planet's climate may be changing, as well as variabilities in solar energy output. NASA’s (The Clouds and the Earth's Radiant Energy System) CERES and NASA's Total and Spectral solar Irradiance Sensor (TSIS-1), missions play key roles in our continued understanding of Earth’s Energy Budget.NASA’s TSIS helps scientists keep a close watch on the sun’s energy input to Earth. Various satellites have captured a continuous record of this solar energy input since 1978. TSIS-1 sensors advance previous measurements, enabling scientists to study the sun's natural influence on Earth's ozone layer, atmospheric circulation, clouds, and ecosystems. These observations are essential for a scientific understanding of the effects of solar variability on the Earth system. TSIS-1 makes two key measurements: total solar irradiance, or TSI, the sun's total energy input into Earth, and solar spectral irradiance (SSI), the distribution of the sun's energy input across ultraviolet, visible, and infrared wavelengths of light. TSI measurements are needed to quantify the solar variations in the total amount of energy input to the Earth. SSI measurements are also vital because different wavelengths of light are absorbed by different parts of the atmosphere.For more than 20 years, NASA Langley's CERES (System) instruments have measured the solar energy reflected by Earth, the heat the planet emits, and the role of clouds in that process.  The final CERES Flight Model, CERES FM6 launched aboard NOAA’s JPSS-1 in Fall 2017.  CERES FM6 contributes to an already extensive CERES dataset that helps scientists validate models that calculate the effect of clouds on planetary heating and cooling. The same data can also be helpful for improving near-term, seasonal forecasts influenced by weather events such as El Niño and La Niña. El Niño and La Niña are weather patterns that develop when ocean temperatures fluctuate between warm and cool phases in the Equatorial Pacific Ocean. Built by Northrop Grumman and managed by Langley, CERES FM6 joins five other CERES instruments orbiting the planet on three other satellites.NASA Goddard Space Flight Center manages the TSIS-1 project. The University of Colorado's Laboratory for Atmospheric and Space Physics (LASP) built both instruments and provides mission operations. The International Space Station carries TSIS-1.Earth's energy budget is a metaphor for the delicate equilibrium between energy received from the Sun versus energy radiated back out in to space. Research into precise details of Earth's energy budget is vital for understanding how the planet's climate may be changing, as well as variabilities in solar energy output. NASA’s (The Clouds and the Earth's Radiant Energy System) CERES and NASA's Total and Spectral solar Irradiance Sensor (TSIS-1), missions play key roles in our continued understanding of Earth’s Energy Budget.NASA’s TSIS helps scientists keep a close watch on the sun’s energy input to Earth. Various satellites have captured a continuous record of this solar energy input since 1978. TSIS-1 sensors advance previous measurements, enabling scientists to study the sun's natural influence on Earth's ozone layer, atmospheric circulation, clouds, and ecosystems. These observations are essential for a scientific understanding of the effects of solar variability on the Earth system. TSIS-1 makes two key measurements: total solar irradiance, or TSI, the sun's total energy input into Earth, and solar spectral irradiance (SSI), the distribution of the sun's energy input across ultraviolet, visible, and infrared wavelengths of light. TSI measurements are needed to quantify the solar variations in the total amount of energy input to the Earth. SSI measurements are also vital because different wavelengths of light are absorbed by different parts of the atmosphere.For more than 20 years, NASA Langley's CERES (System) instruments have measured the solar energy reflected by Earth, the heat the planet emits, and the role of clouds in that process.  The final CERES Flight Model, CERES FM6 launched aboard NOAA’s JPSS-1 in Fall 2017.  CERES FM6 contributes to an already extensive CERES dataset that helps scientists validate models that calculate the effect of clouds on planetary heating and cooling. The same data can also be helpful for improving near-term, seasonal forecasts influenced by weather events such as El Niño and La Niña. El Niño and La Niña are weather patterns that develop when ocean temperatures fluctuate between warm and cool phases in the Equatorial Pacific Ocean. Built by Northrop Grumman and managed by Langley, CERES FM6 joins five other CERES instruments orbiting the planet on three other satellites.NASA Goddard Space Flight Center manages the TSIS-1 project. The University of Colorado's Laboratory for Atmospheric and Space Physics (LASP) built both instruments and provides mission operations. The International Space Station carries TSIS-1. || ",
            "hits": 147
        },
        {
            "id": 4565,
            "url": "https://svs.gsfc.nasa.gov/4565/",
            "result_type": "Visualization",
            "release_date": "2017-05-04T19:00:00-04:00",
            "title": "Seasonal Changes in Carbon Dioxide",
            "description": "Narrated visualization showing seasonal drawdown in carbon dioxideThis video is also available on our YouTube channel. || co2_science_comp.0740_print.jpg (1024x576) [118.8 KB] || co2_science_comp.0740_searchweb.png (180x320) [75.9 KB] || co2_science_comp.0740_thm.png (80x40) [6.1 KB] || CO2_Science_001_DDMMYY.m4v (1280x720) [66.6 MB] || CO2_Science_001_DDMMYY.webmhd.webm (1080x606) [17.7 MB] || CO2_Science_001_MM.m4v (1280x720) [66.5 MB] || comp (1920x1080) [0 Item(s)] || CO2_Science_001_DDMMYY.mp4 (1920x1080) [147.8 MB] || CO2_Science_001_MM.mp4 (1920x1080) [147.9 MB] || CO2_Science.en_US.srt [1.7 KB] || CO2_Science.en_US.vtt [1.7 KB] || CO2_Science_001_DDMMYY.mov (1920x1080) [1.1 GB] || CO2_Science_001_MM.mov (1920x1080) [1.1 GB] || ",
            "hits": 419
        },
        {
            "id": 40317,
            "url": "https://svs.gsfc.nasa.gov/gallery/vcearth-video-wall/",
            "result_type": "Gallery",
            "release_date": "2017-02-02T00:00:00-05:00",
            "title": "VC Earth Video Wall",
            "description": "list of videos to display on video wall in Earth science exhibit at Goddard Visitor Center",
            "hits": 7
        },
        {
            "id": 4546,
            "url": "https://svs.gsfc.nasa.gov/4546/",
            "result_type": "Visualization",
            "release_date": "2017-01-18T10:29:00-05:00",
            "title": "Five-Year Global Temperature Anomalies from 1880 to 2016",
            "description": "This color-coded map displays a progression of changing global surface temperatures anomalies from 1880 through 2016. The final frame represents global temperature anomalies averaged from 2012 through 2016 in degrees Celsius. || robinson2_1212_print.jpg (1024x576) [124.2 KB] || robinson2_1213_searchweb.png (180x320) [72.8 KB] || robinson2_1213_thm.png (80x40) [6.7 KB] || gistemp2016_5year_full_record_celsius_1080p.mp4 (1920x1080) [46.3 MB] || gistemp2016_5year_full_record_celsius_30fps_1080p.mp4 (1920x1080) [46.3 MB] || Celsius_composite (1920x1080) [64.0 KB] || Celsius_composite (1920x1080) [64.0 KB] || gistemp2016_5year_full_record_celsius_1080p.webm (1920x1080) [2.1 MB] || gistemp2016_5year_full_record_celsius_4546.key [48.7 MB] || gistemp2016_5year_full_record_celsius_4546.pptx [48.3 MB] || gistemp2016_5year_full_record_celsius_1080p.mp4.hwshow [258 bytes] || ",
            "hits": 204
        },
        {
            "id": 4514,
            "url": "https://svs.gsfc.nasa.gov/4514/",
            "result_type": "Visualization",
            "release_date": "2016-12-13T14:00:00-05:00",
            "title": "Carbon Dioxide from GMAO using Assimilated OCO-2 Data",
            "description": "Carbon Dioxide from the GEOS-5 modelThis video is also available on our YouTube channel. || co2_30.with_labels.2000_print.jpg (1024x576) [90.1 KB] || co2_30.with_labels.2000_searchweb.png (180x320) [64.0 KB] || co2_30.with_labels.2000_thm.png (80x40) [5.9 KB] || co2_30.with_labels_1080p30.mp4 (1920x1080) [75.6 MB] || co2_30.with_labels_1080p30.webm (1920x1080) [11.3 MB] || co2_30.with_labels_360p30.mp4 (640x360) [12.2 MB] || final_no_dates (3840x2160) [0 Item(s)] || final_with_labels (3840x2160) [0 Item(s)] || co2_30.with_labels.key [77.8 MB] || co2_30.with_labels.pptx [77.4 MB] || co2_30.with_labels_2160p30.mp4 (3840x2160) [306.7 MB] || co2_30.with_labels_1080p30.mp4.hwshow [192 bytes] || ",
            "hits": 89
        },
        {
            "id": 12345,
            "url": "https://svs.gsfc.nasa.gov/12345/",
            "result_type": "Produced Video",
            "release_date": "2016-08-19T11:00:00-04:00",
            "title": "NASA On Air: NASA Monitors 'New Normal' Of Arctic Sea Ice (8/19/2016)",
            "description": "LEAD: NASA scientists expect the area of Arctic sea ice by the end of the summer will be between the 3rd and the 7th lowest since the satellite records began in 1978.1. The continual decline of sea ice over the past 38 years has become \"the new normal.\"2. The increased melting is driven primarily by the warmer Arctic climate, but it also depends on the summer's changing weather patterns of clouds and winds.TAG: A new NASA satellite, ICESat-2, will be launched in 2018 to use lasers for more detailed observations of how the sea ice is thinning. || NASAOnAir-12345-MASTER-3_NBC_Today.00001_print.jpg (1024x576) [114.1 KB] || NASAOnAir-12345-MASTER-3_NBC_Today.00001_searchweb.png (320x180) [79.1 KB] || NASAOnAir-12345-MASTER-3_NBC_Today.00001_web.png (320x180) [79.1 KB] || NASAOnAir-12345-MASTER-3_NBC_Today.00001_thm.png (80x40) [5.9 KB] || NASAOnAir-12345-MASTER-1_Weather_Channel_30_fps.mov (1920x1080) [617.1 MB] || NASAOnAir-12345-MASTER-2_Weather_Channel_60_fps.mov (1280x720) [636.4 MB] || NASAOnAir-12345-MASTER-3_NBC_Today.mov (1920x1080) [333.9 MB] || NASAOnAir-12345-MASTER-4_Weather_Central.wmv (1280x720) [11.0 MB] || NASAOnAir-12345-MASTER-5_Accuweather.avi (1280x720) [4.9 MB] || NASAOnAir-12345-MASTER-6_Baron_Services_MP4.mp4 (1920x1080) [23.4 MB] || NASAOnAir-12345-MASTER-7_1920_30_fps.mov (1920x1080) [374.6 MB] || NASAOnAir-12345-MASTER-8.m4v (960x540) [10.7 MB] || NASAOnAir-12345-MASTER-9.m4v (1280x720) [14.4 MB] || NASAOnAir-12345-MASTER-10.m4v (1920x1080) [29.1 MB] || NASAOnAir-12345-MASTER-9.webm (1280x720) [2.7 MB] || ",
            "hits": 25
        },
        {
            "id": 12246,
            "url": "https://svs.gsfc.nasa.gov/12246/",
            "result_type": "Produced Video",
            "release_date": "2016-05-19T11:00:00-04:00",
            "title": "Tracking Volcanic Ash",
            "description": "NASA satellite data could help reduce flights sidelined by volcanic eruptions. || c-1024.jpg (1024x576) [93.6 KB] || c-1280.jpg (1280x720) [126.2 KB] || c-1920.jpg (1920x1080) [192.8 KB] || c-1024_print.jpg (1024x576) [95.2 KB] || c-1024_searchweb.png (320x180) [50.6 KB] || c-1024_web.png (320x180) [50.6 KB] || c-1024_thm.png (80x40) [16.7 KB] || ",
            "hits": 55
        },
        {
            "id": 12199,
            "url": "https://svs.gsfc.nasa.gov/12199/",
            "result_type": "Produced Video",
            "release_date": "2016-05-12T14:00:00-04:00",
            "title": "Evolution of Pacific Ocean Temperatures",
            "description": "Every two to seven years, an unusually warm pool of water—sometimes two to three degrees Celsius higher than normal—develops across the eastern equatorial Pacific Ocean. This warm condition, known as El Niño, can disrupt marine ecosystems and spur extreme weather patterns around the world. To predict when an El Niño is coming, NASA scientists use computer models that simulate ocean temperatures in the Pacific. Changes in ocean temperatures typical of an El Niño occur on the sea surface and up to 1,000 feet deep. With inputs from ocean buoys, satellite data and other sources, the models show what ocean temperatures might look like months into the future. The information not only helps scientists estimate the strength of an El Niño, but also study its evolution. || ",
            "hits": 31
        },
        {
            "id": 12221,
            "url": "https://svs.gsfc.nasa.gov/12221/",
            "result_type": "Produced Video",
            "release_date": "2016-05-12T13:30:00-04:00",
            "title": "Tracking Volcanic Ash With Satellites",
            "description": "Data from the Suomi NPP satellite is used by NASA scientists to map the full three-dimensional structure of volcanic clouds, allowing a more accurate forecast of where the volcanic ash is spreading.  The information will be used by air traffic management to re-route flights around the hazardous ash clouds, which can damage airplane engines.Complete transcript available.Music: \"Dangerous Clouds\" by Guy & Zab Skornik [SACEM]Watch this video on the NASA Goddard YouTube channel. || 12221_Volcanic_ash_MASTER_youtube_hq.00596_print.jpg (1024x576) [66.2 KB] || 12221_Volcanic_ash_MASTER_youtube_hq.00596_searchweb.png (180x320) [43.0 KB] || 12221_Volcanic_ash_MASTER_youtube_hq.00596_web.png (320x180) [43.0 KB] || 12221_Volcanic_ash_MASTER_youtube_hq.00596_thm.png (80x40) [4.0 KB] || 12221_Volcanic_ash_MASTER_appletv.m4v (1280x720) [60.8 MB] || 12221_Volcanic_ash_MASTER.webm (960x540) [46.9 MB] || 12221_Volcanic_ash_MASTER_appletv_subtitles.m4v (1280x720) [60.8 MB] || 12221_Volcanic_ash_MASTER_ipod_sm.mp4 (320x240) [21.9 MB] || 12221_Volcanic_ash_captions.en_US.srt [2.2 KB] || 12221_Volcanic_ash_captions.en_US.vtt [2.2 KB] || 12221_Volcanic_ash_MASTER_youtube_hq.mov (1920x1080) [149.2 MB] || 12221_Volcanic_ash_MASTER_large.mp4 (1920x1080) [119.1 MB] || 12221_Volcanic_ash_MASTER.mpeg (1280x720) [394.4 MB] || 12221_Volcanic_ash_MASTER_prores.mov (1280x720) [1.6 GB] || ",
            "hits": 80
        },
        {
            "id": 12242,
            "url": "https://svs.gsfc.nasa.gov/12242/",
            "result_type": "Produced Video",
            "release_date": "2016-05-05T20:22:00-04:00",
            "title": "El Niño Evolution",
            "description": "Computer models help scientists see El Niño unfold in the Pacific. || c-1024.jpg (1024x576) [238.4 KB] || c-1280.jpg (1280x720) [351.4 KB] || c-1920.jpg (1920x1080) [605.7 KB] || c-1024_print.jpg (1024x576) [252.3 KB] || c-1024_searchweb.png (320x180) [100.5 KB] || c-1024_web.png (320x180) [100.5 KB] || c-1024_thm.png (80x40) [17.1 KB] || ",
            "hits": 96
        },
        {
            "id": 12182,
            "url": "https://svs.gsfc.nasa.gov/12182/",
            "result_type": "Produced Video",
            "release_date": "2016-03-31T13:00:00-04:00",
            "title": "Why Do Raindrop Sizes Matter In Storms?",
            "description": "Not all raindrops are created equal. The size of falling raindrops depends on several factors, including where the cloud producing the drops is located on the globe and where the drops originate in the cloud. For the first time, scientists have three-dimensional snapshots of raindrops and snowflakes around the world from space, thanks to the joint NASA and Japan Aerospace Exploration Agency Global Precipitation Measurement (GPM) mission. With the new global data on raindrop and snowflake sizes this mission provides, scientists can improve rainfall estimates from satellite data and in numerical weather forecast models, helping us better understand and prepare for extreme weather events.Watch this video on the NASA Goddard YouTube Channel. || ",
            "hits": 128
        },
        {
            "id": 12169,
            "url": "https://svs.gsfc.nasa.gov/12169/",
            "result_type": "Produced Video",
            "release_date": "2016-03-08T17:00:00-05:00",
            "title": "Tracking California Rains During El Niño",
            "description": "This winter, areas across the globe experienced a shift in rain patterns due to the natural weather phenomenon known as El Niño. New NASA visualizations of rainfall data show the various changes to California.According to the National Oceanic and Atmospheric Administration, El Niño was expected to produce wetter-than-average conditions from December 2015 to February 2016. Scientists refer to historical weather patterns and to look at trends of where precipitation normally occurs during El Niño events. Also, several factors—not just El Niño—can contribute to unusual weather pattern. || ",
            "hits": 32
        },
        {
            "id": 12163,
            "url": "https://svs.gsfc.nasa.gov/12163/",
            "result_type": "Produced Video",
            "release_date": "2016-02-26T14:00:00-05:00",
            "title": "NASA On Air: NASA Depicts Earth's System Of Systems (2/26/2016)",
            "description": "LEAD: A new NASA visualization reveals that the Earth system, like the human body, comprises diverse components that interact in complex ways. 1. Heat absorbed by the ocean is transported by ocean currents.2. This energy is released into Earth’s atmosphere. 3. Heat and moisture influence weather patterns with clouds and precipitation.TAG: Improved observational and computational capabilities increasingly allow scientists to study the numerous interactions and gain unprecedented insight into how the Earth system works—and how it might change in the future. || NASAonAir-satellite_pie_transition-10_iPad_print.jpg (1024x576) [128.4 KB] || NASAonAir-satellite_pie_transition-10_iPad_searchweb.png (320x180) [71.2 KB] || NASAonAir-satellite_pie_transition-10_iPad_thm.png (80x40) [5.6 KB] || NASAonAir-satellite_pie_transition-4_WeatherChannel.wmv (1280x720) [4.0 MB] || NASAonAir-satellite_pie_transition-5_Accuweather.avi (1280x720) [4.4 MB] || NASAonAir-satellite_pie_transition-6_Baron_Services_MP4.mp4 (1920x1080) [21.5 MB] || NASAonAir-satellite_pie_transition-8_iPad.m4v (960x540) [8.7 MB] || NASAonAir-satellite_pie_transition-9_iPad.m4v (1280x720) [10.6 MB] || NASAonAir-satellite_pie_transition-10_iPad.m4v (1920x1080) [20.4 MB] || NASAonAir-satellite_pie_transition-10_iPad.webm (1920x1080) [2.5 MB] || NASAonAir-satellite_pie_transition-3_NBC_Today.mov (1920x1080) [354.9 MB] || NASAonAir-satellite_pie_transition-7_APR_422_1920_30.mov (1920x1080) [317.1 MB] || NASAonAir-satellite_pie_transition-1_Weather_Channel_30_fps.mov (1920x1080) [616.4 MB] || NASAonAir-satellite_pie_transition-2_Weather_Channel_60_fps.mov (1280x720) [664.3 MB] || ",
            "hits": 24
        },
        {
            "id": 4433,
            "url": "https://svs.gsfc.nasa.gov/4433/",
            "result_type": "Visualization",
            "release_date": "2016-02-25T20:00:00-05:00",
            "title": "El Niño: GMAO Daily Sea Surface Temperature Anomaly from 1997/1998 and 2015/2016",
            "description": "This visualization shows how the Sea Surface Temperature Anomaly (SSTA) data and subsurface Temperature Anomaly from the 1997 El Nino year compares to the 2015 El Nino year.  The visualization shows how the 1997 event started from colder-than-average sea surface temperatures – but the 2015 event started with warmer-than-average temperatures not only in the Pacific but also in in the Atlantic and Indian Oceans.This video is also available on our YouTube channel. || SSTcompare1997_2015_0000_print.jpg (1024x576) [87.4 KB] || SSTcompare1997_2015_0000_searchweb.png (320x180) [53.0 KB] || SSTcompare1997_2015_0000_thm.png (80x40) [5.6 KB] || Compare1997_2015_SSTA.mp4 (1920x1080) [28.7 MB] || compare (1920x1080) [0 Item(s)] || Compare1997_2015_SSTA.webm (1920x1080) [1.5 MB] || Compare1997_2015_SSTA.m4v (640x360) [2.5 MB] || Compare1997_2015_SSTA.mp4.hwshow [187 bytes] || ",
            "hits": 77
        },
        {
            "id": 30701,
            "url": "https://svs.gsfc.nasa.gov/30701/",
            "result_type": "Hyperwall Visual",
            "release_date": "2016-02-08T12:00:00-05:00",
            "title": "Earth: A System of Systems",
            "description": "Slices of Earth observational and modeling data || R_beach_ball_flat_1080p.00001_print.jpg (1024x576) [105.6 KB] || R_beach_ball_flat_1080p.00001_searchweb.png (320x180) [53.8 KB] || R_beach_ball_flat_1080p.00001_thm.png (80x40) [4.3 KB] || R_beach_ball_flat_1080p.mp4 (1920x1080) [47.3 MB] || R_beach_ball_flat_720p.mp4 (1280x720) [26.4 MB] || R_beach_ball_flat_720p.webm (1280x720) [7.8 MB] || beach_ball_noLabels_1080p.mp4 (1920x1080) [41.8 MB] || beach_ball_noLabels_720p.mp4 (1280x720) [23.1 MB] || R_beach_ball_flat_360p.mp4 (640x360) [9.3 MB] || cam_held (4104x2304) [0 Item(s)] || earth_system_of_systems_30701.key [51.4 MB] || earth_system_of_systems_30701.pptx [49.0 MB] || beachball_2304p.mp4 (4096x2304) [125.7 MB] || beach_ball_noLabels_2304p.mp4 (4096x2304) [121.0 MB] || ",
            "hits": 220
        },
        {
            "id": 4413,
            "url": "https://svs.gsfc.nasa.gov/4413/",
            "result_type": "Visualization",
            "release_date": "2016-01-07T00:00:00-05:00",
            "title": "Sea Surface Temperature Anomaly and Terrestrial Water Storage Anomaly Comparison",
            "description": "Animation showing Sea Surface Temperature Anomaly (SSTA) and Terrestrial Water Storage Anomaly (TWSA) data from 2002 to 2015 simultaneously. For SSTA data, blues indicate temperatures lower than normal and reds are areas warmer than normal. With this data we can see the comings and goings of El Niño and La Niña across the years. For the TWSA data, browns indicate areas with less ground water than normal and greens are areas with more ground water than normal, which correlates to droughts and floods in these various regions. Furthermore, terrestrial areas that show significant amounts of low water storage are much more sensitive to wildfires. || grace_w_ssta_rob2.4991_print.jpg (1024x576) [133.2 KB] || grace_w_ssta_rob2.4991_searchweb.png (180x320) [91.1 KB] || grace_w_ssta_rob2.4991_thm.png (80x40) [7.7 KB] || grace_w_ssta_rob2_2x_1080p30.mp4 (1920x1080) [41.8 MB] || composite (1920x1080) [0 Item(s)] || robinson_projection (1920x1080) [0 Item(s)] || dates (1920x1080) [0 Item(s)] || grace_w_ssta_rob2_2x_1080p30.webm (1920x1080) [9.8 MB] || ",
            "hits": 50
        },
        {
            "id": 30629,
            "url": "https://svs.gsfc.nasa.gov/30629/",
            "result_type": "Hyperwall Visual",
            "release_date": "2015-12-27T16:00:00-05:00",
            "title": "El Niño Watch 2015",
            "description": "Animation of Sea Surface Height Anomaly for 2015 compared to 1997 || ssha_1997vs2015_print.jpg (1024x574) [142.6 KB] || ssha_1997vs2015_searchweb.png (180x320) [71.4 KB] || ssha_1997vs2015_thm.png (80x40) [7.0 KB] || ssha_1997vs2015_720p.webm (1280x720) [2.4 MB] || ssha_1997vs2015_720p.mp4 (1280x720) [4.0 MB] || ssha_1997vs2015_1080p.mp4 (1920x1080) [5.1 MB] || ssha_1997vs2015_2304p.mp4 (4096x2304) [15.3 MB] || ssha_1997vs2015_360p.mp4 (640x360) [1.7 MB] || ssha_1997vs2015.tif (4104x2304) [4.3 MB] || ssha_1997vs2015_30629.key [7.5 MB] || ssha_1997vs2015_30629.pptx [4.9 MB] || el_nino_1997vs2015_recent_still.hwshow [230 bytes] || ",
            "hits": 43
        },
        {
            "id": 4377,
            "url": "https://svs.gsfc.nasa.gov/4377/",
            "result_type": "Visualization",
            "release_date": "2015-10-02T16:00:00-04:00",
            "title": "A 3-D Look at Weather, Clouds, and Aerosols",
            "description": "This gallery was created for Earth Science Week 2015 and beyond. It includes a quick start guide for educators and first-hand stories (blogs) for learners of all ages by NASA visualizers, scientists and educators. We hope that your understanding and use of NASA's visualizations will only increase as your appreciation grows for the beauty of the science they portray, and the communicative power they hold. Read all the blogs and find educational resources for all ages at: The Earth Science Week 2015 page.I've always been fascinated by our atmosphere. Think about it: even though we don't see it, above us is a great aerial ocean! Over time my fascination has grown from weather maps and pondering the origins of storms, to learning all about the physics that surround our everyday lives. From as early as grade school I was also very interested in computers: diagnosing errors, developing programming skills and learning all about hardware and operating systems. So you might say my interests naturally led me to a career as a NASA scientist, where I create visualizations to study the underlying factors that drive weather patterns. Visualizations help us to see the world differently and actively.Many of you have no doubt seen your homes from space using a program called Google Earth™. But did you know you could do a lot more with the right data? In fact I often use it to map atmospheric data in three-dimensions (3-D) around the globe. But one of the challenges I often face is that data comes from many different sources, such as NASA and NOAA satellites or ground-observation stations. This means the data is stored on computer disks all over the country and are named and organized according to different standards, requiring us to customize techniques for producing accurate visualizations in one, 3-D display of the Earth. We do this in order to analyze atmospheric relationships more easily because many weather phenomena arise from physical interactions, both horizontally and vertically, in the global circulation.A big part of atmospheric research relies on using computer models to simulate what our atmosphere will do under different conditions. A great example of this is the data used to prepare the daily weather forecast. This data originates from weather forecasting models that calculate atmospheric motions using the world’s fastest supercomputers. But how do we know these forecasts are accurate? Researchers can verify a model's performance by visualizing one of the variables such as temperature, humidity, wind speed, wind direction, or air pressure and then using color shading, contour curves, and wind \"barbs\" to graph that data. Then they overlay the observations from NASA satellites such as cloud-top imagery, cloud-top temperature, and vertical distributions of clouds and aerosols, with the graph (it can be challenging to synchronize the data display as these times usually don't match). After this process, the display confirms the model's accuracy. This method is used to study many atmospheric events, such as timing of a storm system, precipitation, or the direction of dust or smoke transport. || ",
            "hits": 97
        },
        {
            "id": 4361,
            "url": "https://svs.gsfc.nasa.gov/4361/",
            "result_type": "Visualization",
            "release_date": "2015-09-28T14:00:00-04:00",
            "title": "Does What Happens in the Arctic Stay in the Arctic?",
            "description": "This gallery was created for Earth Science Week 2015 and beyond. It includes a quick start guide for educators and first-hand stories (blogs) for learners of all ages by NASA visualizers, scientists and educators. We hope that your understanding and use of NASA's visualizations will only increase as your appreciation grows for the beauty of the science they portray, and the communicative power they hold. Read all the blogs and find educational resources for all ages at: the Earth Science Week 2015 page.It all began with my fourth grade teacher, Mrs. Benner. Back then my school had a weather station and one day she had asked me to collect wind speed and temperature data. I soon found myself in charge of the morning weather forecast and soon this was my favorite part of the day. Little did I know that in the years that would follow, I’d pursue my passion for clouds and meteorology to become a research scientist at NASA. Working at NASA is every bit as cool as it sounds! Everyday is different and I always find myself working with new scientific tools to uncover mysteries about our planet Earth. Lately I’ve been studying the cryosphere, or the world’s frozen places, where I’m using scientific visualizations to understand the impacts of climate change in the Arctic. In particular I’m focusing on melting sea ice to understand how it affects Arctic cloud formation.Arctic clouds are made up of tiny liquid droplets and ice particles that form from condensation and then freezing of water vapor. Water vapor is a necessary ingredient for Arctic cloud formation, and evaporation from the Arctic Ocean can serve as an important source of water vapor. But when sea ice sits on the Arctic Ocean it acts as a lid that prevents evaporation and may limit Arctic cloud formation. Over the past decade the amount of Arctic sea ice has declined dramatically and we think this trend may be influencing Arctic cloud formation.I created a visualization showing the hypothesized response of clouds to melting in sea ice (below). The difference between the left panel, \"Current Conditions,\" and the right panel, \"Future Conditions,\" is that less sea ice in the future leads to more evaporation, and more evaporation leads to more water vapor and increased cloudiness. This hypothesis is where I base my research, using state-of-the-art NASA satellite instruments including CALIPSO and CloudSAT. || ",
            "hits": 36
        },
        {
            "id": 11685,
            "url": "https://svs.gsfc.nasa.gov/11685/",
            "result_type": "Produced Video",
            "release_date": "2014-11-25T11:00:00-05:00",
            "title": "Cloud Transformation",
            "description": "Volcanoes can spew lava, ash and smoke when they erupt. But even when they aren't erupting, gases can leak from their vents and form tiny particles in the atmosphere known as volcanic aerosols. Although smaller than a human hair, these particles can have a large effect on the properties of nearby clouds. A new study using NASA and European Space Agency satellite data has shown that volcanic aerosols can decrease the size of water droplets that make up clouds. The result may not seem significant, but clouds composed of smaller droplets tend to be brighter and reflect more sunlight back into space. This can affect weather patterns, such as altering winds and where rain falls. Watch the video to learn more. || ",
            "hits": 35
        },
        {
            "id": 11655,
            "url": "https://svs.gsfc.nasa.gov/11655/",
            "result_type": "Produced Video",
            "release_date": "2014-09-22T06:00:00-04:00",
            "title": "NASA On Air: Arctic Sea Ice Reaches Annual Minimum (9/22/2014)",
            "description": "LEAD: Scientists just announced that the summer melt season has ended in the Arctic Ocean and the summer sea ice area is the 6th lowest on record. 1. This figure remains in line with the 35-year downward melting trend measured by NASA satellites.2. The Arctic Ocean is losing about 13% each decade, with individual year variations.3. NASA is currently flying a C-130 to extend the research on how the heat and moisture from  ice-free open Arctic Ocean may affect extreme weather patterns over the U.S.TAG: Details on the floating Antarctic winter sea ice are due soon. || WC_ArcticSeaIceMin-1920-MASTER_iPad_1920x0180.00527_print.jpg (1024x576) [147.7 KB] || WC_ArcticSeaIceMin-1920-MASTER_iPad_1920x0180_searchweb.png (320x180) [95.4 KB] || WC_ArcticSeaIceMin-1920-MASTER_iPad_1920x0180_web.png (320x180) [95.4 KB] || WC_ArcticSeaIceMin-1920-MASTER_iPad_1920x0180_thm.png (80x40) [6.8 KB] || WC_ArcticSeaIceMin-1920-MASTER_1920x1080.mov (1920x1080) [799.5 MB] || WC_ArcticSeaIceMin-1920-MASTER_1280x720.mov (1280x720) [940.4 MB] || WC_ArcticSeaIceMin-1920-MASTER_NBC_Today.mov (1920x1080) [145.1 MB] || WC_ArcticSeaIceMin-1920-MASTER_WEA_CEN.wmv (1280x720) [9.4 MB] || ASIM_WC.avi (1280x720) [13.6 MB] || WC_ArcticSeaIceMin-1920-MASTER_baron.mp4 (1920x1080) [18.0 MB] || WC_ArcticSeaIceMin-1920-MASTER_prores.mov (1920x1080) [510.4 MB] || WC_ArcticSeaIceMin-1920-MASTER_iPad_960x540.m4v (960x540) [45.0 MB] || WC_ArcticSeaIceMin-1920-MASTER_iPad_1280x720.m4v (1280x720) [72.0 MB] || WC_ArcticSeaIceMin-1920-MASTER_iPad_1920x0180.m4v (1920x1080) [144.3 MB] || WC_ArcticSeaIceMin-1920-MASTER_iPad_960x540.webmhd.webm (960x540) [4.2 MB] || ",
            "hits": 20
        },
        {
            "id": 11601,
            "url": "https://svs.gsfc.nasa.gov/11601/",
            "result_type": "Produced Video",
            "release_date": "2014-07-03T11:00:00-04:00",
            "title": "The Cloud Connection",
            "description": "When a brutal cold fell over much of eastern North America this winter, scientists linked the record low temperatures to unusual wind cycles in the Arctic stratosphere, roughly five to 10 miles above the surface. But data from NASA’s AIM satellite revealed these anomalous winds were also tied to an event at the opposite pole—the disappearance of noctilucent clouds. Noctilucent, or “night shining,” clouds are visible right after sunset or just before sunrise. They exist near the edge of space, 50 miles above the ground, mainly at high latitudes. About two weeks after temperatures plummeted in the Northern Hemisphere, these delicate, electric-blue clouds mysteriously began vanishing from the sky over Antarctica. Now scientists believe they’ve found the reason why. The answer lies in a hidden connection that spans half the globe and influences multiple layers of Earth’s atmosphere. Watch the video to learn more. || ",
            "hits": 28
        },
        {
            "id": 11542,
            "url": "https://svs.gsfc.nasa.gov/11542/",
            "result_type": "Produced Video",
            "release_date": "2014-06-10T00:00:00-04:00",
            "title": "El Niño Watch",
            "description": "After enduring an especially cold winter in the Northeast and years of drought in the Southwest, the United States could use a strong El Niño. An El Niño is a weather phenomenon that occurs about every three to seven years. One benefit is that it keeps the northern two-thirds of the contiguous U.S. much warmer than normal during winter, while drenching the lower third of the country with rain. However, it can also disrupt normal weather patterns, resulting in severe floods and forest fires. This year, scientists have already spotted precursors to El Niño conditions brewing in the Pacific Ocean. Masses of warm water have migrated from southeast Asia toward the typically cool waters off South America in what are called Kelvin waves. If these waves persist through the summer, the country may experience the strongest El Niño since 1997. Watch the video to learn more. || ",
            "hits": 32
        },
        {
            "id": 4135,
            "url": "https://svs.gsfc.nasa.gov/4135/",
            "result_type": "Visualization",
            "release_date": "2014-01-21T00:00:00-05:00",
            "title": "Five-Year Global Temperature Anomalies from 1880 to 2013",
            "description": "NASA scientists say 2013 tied with 2009 and 2006 for the seventh warmest year since 1880, continuing a long-term trend of rising global temperatures. With the exception of 1998, the 10 warmest years in the 134-year record all have occurred since 2000, with 2010 and 2005 ranking as the warmest years on record.NASA's Goddard Institute for Space Studies (GISS) in New York, which analyzes global surface temperatures on an ongoing basis, released an updated report Tuesday on temperatures around the globe in 2013. The comparison shows how Earth continues to experience temperatures warmer than those measured several decades ago.  The average temperature in 2013 was 58.3 degrees Fahrenheit (14.6 degrees Celsius), which is 1.1 °F (0.6 °C) warmer than the mid-20th century baseline. The average global temperature has risen about 1.4 °F (0.8 °C) since 1880, according to the new analysis. Exact rankings for individual years are sensitive to data inputs and analysis methods.\"Long-term trends in surface temperatures are unusual and 2013 adds to the evidence for ongoing climate change,\" GISS climatologist Gavin Schmidt said. \"While one year or one season can be affected by random weather events, this analysis shows the necessity for continued, long-term monitoring.\"Scientists emphasize that weather patterns always will cause fluctuations in average temperatures from year to year, but the continued increases in greenhouse gas levels in Earth's atmosphere are driving a long-term rise in global temperatures. Each successive year will not necessarily be warmer than the year before, but with the current level of greenhouse gas emissions, scientists expect each successive decade to be warmer than the previous.Carbon dioxide is a greenhouse gas that traps heat and plays a major role in controlling changes to Earth's climate. It occurs naturally and also is emitted by the burning of fossil fuels for energy. Driven by increasing man-made emissions, the level of carbon dioxide in Earth's atmosphere presently is higher than at any time in the last 800,000 years. The carbon dioxide level in the atmosphere was about 285 parts per million in 1880, the first year in the GISS temperature record. By 1960, the atmospheric carbon dioxide concentration, measured at the National Oceanic and Atmospheric Administration's (NOAA) Mauna Loa Observatory in Hawaii, was about 315 parts per million. This measurement peaked last year at more than 400 parts per million.While the world experienced relatively warm temperatures in 2013, the continental United States experienced the 42nd warmest year on record, according to GISS analysis. For some other countries, such as Australia, 2013 was the hottest year on record.The temperature analysis produced at GISS is compiled from weather data from more than 1,000 meteorological stations around the world, satellite observations of sea-surface temperature, and Antarctic research station measurements, taking into account station history and urban heat island effects. Software is used to calculate the difference between surface temperature in a given month and the average temperature for the same place from 1951 to 1980. This three-decade period functions as a baseline for the analysis. It has been 38 years since the recording of a year of cooler than average temperatures.The GISS temperature record is one of several global temperature analyses, along with those produced by the Met Office Hadley Centre in the United Kingdom and NOAA's National Climatic Data Center in Asheville, N.C. These three primary records use slightly different methods, but overall, their trends show close agreement.Additional commentary on the 2013 temperature anomaly is provided by Dr. James Hansen of Columbia University at: http://www.columbia.edu/~jeh1/mailings/2014/20140121_Temperature2013.pdfThe GISTEMP analysis website is located at: http://data.giss.nasa.gov/gistemp/ || ",
            "hits": 78
        },
        {
            "id": 11410,
            "url": "https://svs.gsfc.nasa.gov/11410/",
            "result_type": "Produced Video",
            "release_date": "2013-12-10T00:00:00-05:00",
            "title": "The Wide Angle",
            "description": "To better see how clouds and weather move broadly around the globe, scientists have taken two satellite views of Earth and turned them into one big picture. The views come from data collected by the GOES 15 and GOES 13 weather satellites. Designed by NASA and operated by NOAA, the satellites orbit Earth at the same rate that the planet turns on its axis, allowing them to hold fixed positions in space about 4,000 miles apart and 22,000 miles above the surface. Every 15 minutes, the satellites generate a full-disk image of Earth—one centered over the western United States, and another over the eastern United States. By combining the two images, scientists can get a wide-angle look at how large weather patterns travel across the country. Watch the video to see a time-lapse animation assembled from 10 days’ worth of satellite imagery. || ",
            "hits": 105
        },
        {
            "id": 30388,
            "url": "https://svs.gsfc.nasa.gov/30388/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Monthly Water Vapor (Terra/MODIS)",
            "description": "Water vapor is the most abundant greenhouse gas in the atmosphere as it traps heat near the surface of the Earth making our planet warm enough to support life. Scientists monitor water vapor in the atmosphere because it influences Earth's weather patterns, and because it is a very important component of Earth's climate system. These maps show a monthly water vapor product from January 2005 to the present, derived using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA’s Terra satellite. The water vapor product reveals the total amount of water vapor in a 1-kilometer by 1-kilometer column of the atmosphere. Dark blue shades indicate areas with high water vapor content, while light yellow shades indicate areas with little or no water vapor content. || ",
            "hits": 63
        },
        {
            "id": 30401,
            "url": "https://svs.gsfc.nasa.gov/30401/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Monthly Water Vapor (Aqua/MODIS)",
            "description": "Water vapor is the most abundant greenhouse gas in the atmosphere as it traps heat near the surface of the Earth making our planet warm enough to support life. Scientists monitor water vapor in the atmosphere because it influences Earth's weather patterns, and because it is a very important component of Earth's climate system. These maps show a monthly water vapor product from July 2002 to the present, derived using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA’s Aqua satellite. The water vapor product reveals the total amount of water vapor in a 1-kilometer by 1-kilometer column of the atmosphere. Dark blue shades indicate areas with high water vapor content, while light yellow shades indicate areas with little or no water vapor content. || ",
            "hits": 98
        },
        {
            "id": 30017,
            "url": "https://svs.gsfc.nasa.gov/30017/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-03-07T00:00:00-05:00",
            "title": "GEOS-5 Nature Run Collection",
            "description": "Through numerical experiments that simulate the dynamical and physical processes governing weather and climate variability of Earth's atmosphere, models create a dynamic portrait of our planet. This 10-kilometer global mesoscale simulation (Nature Run) using the NASA Goddard Earth Observing System Model (GEOS-5) explores the evolution of surface temperatures as the sun heats the Earth and fuels cloud formation in the tropics and along baroclinic zones; the presence of water vapor and precipitation within these global weather patterns; the dispersion of global aerosols from dust, biomass burning, fossil fuel emissions, and volcanoes; and the winds that transport these aerosols from the surface to upper-levels.The full GEOS-5 simulation covered 2 years—from May 2005 to May 2007. It ran on 3,750 processors of the Discover supercomputer at the NASA Center for Climate Simulation, consuming 3 million processor hours and producing over 400 terabytes of data. GEOS-5 development is funded by NASA's Modeling, Analysis, and Prediction Program. || ",
            "hits": 102
        },
        {
            "id": 11171,
            "url": "https://svs.gsfc.nasa.gov/11171/",
            "result_type": "Produced Video",
            "release_date": "2013-01-15T00:00:00-05:00",
            "title": "Nature's Night Lights",
            "description": "\"The night is nowhere near as dark as most of us think. In fact, the Earth is never really dark,\" says scientist Steven Miller of Colorado State University. Auroras dance across the skies. Wildfires and volcanoes rage. Moonlight and starlight reflect off water, snow, clouds and deserts. The night-imaging capability of the NASA-NOAA Suomi National Polar-orbiting Partnership satellite is capturing all of this, giving scientists like Miller a new way to see storms and weather patterns, atmospheric waves and other dynamic events that don't stop at sundown. \"For all the reasons that we need to see the Earth during the day, we also need to see the Earth at night,\" says Miller. \"The Earth never sleeps; it's constantly moving, evolving, building up here and tearing down there.\" Watch the video to see different views of the Persian Gulf region in the changing light of the moon. || ",
            "hits": 37
        },
        {
            "id": 10981,
            "url": "https://svs.gsfc.nasa.gov/10981/",
            "result_type": "Produced Video",
            "release_date": "2012-06-05T00:00:00-04:00",
            "title": "Jupiter's Jet Streams",
            "description": "Jupiter is the largest and most massive planet in our solar system. You might not think of it as a place to learn about Earth's atmosphere and weather, but Jupiter, like our home planet, has cyclones (the Jovian equivalent of hurricanes) and anticyclones, along with fast-moving jet streams that circle its globe. Revealed in a sequence of black-and-white images taken by the Cassini spacecraft during its flyby of Jupiter are chevrons, dark V-shaped features that travel within a band of powerful winds near the equator. By tracking chevrons, NASA scientists were not only able to gauge the jet stream's speed, but also witness its subtle, wavelike movement as it zoomed around the planet—something never before seen. Studying this motion can help scientists better understand similar weather patterns on Earth. Learn more about this discovery and see footage of Jupiter's jet streams by watching the videos below. || ",
            "hits": 106
        },
        {
            "id": 3626,
            "url": "https://svs.gsfc.nasa.gov/3626/",
            "result_type": "Visualization",
            "release_date": "2009-08-17T12:00:00-04:00",
            "title": "Hurricane Bill on August 17, 2009 at 1133 UTC",
            "description": "NASA's TRMM spacecraft observed this view of Hurricane Bill on August 17, 2009 at 1133 UTC. At this time the storm was a category 1 hurricane with sustained winds of 56 knots (64 mph), a pressure reading of 994 millibars. The cloud cover in this animation is taken by TRMM's Visible and Infrared Scanner(VIRS) and the GOES spacecraft. The rain structure is taken by TRMM's Tropical Microwave Imager (TMI) and TRMM's Precitation Radar(PR) instruments. TRMM looks underneath of the storm's clouds to reveal the underlying rain structure. The colored isosurface under the clouds show the rain seen by the PR instrument. || ",
            "hits": 23
        },
        {
            "id": 20082,
            "url": "https://svs.gsfc.nasa.gov/20082/",
            "result_type": "Animation",
            "release_date": "2006-09-28T00:00:00-04:00",
            "title": "CloudSat Science Objectives Animation",
            "description": "CloudSat flies a first-of-its-kind radar system that is much more sensitive than any current weather radar. CloudSat will provide new information about the vertical structure of clouds, including the quantities of liquid water and ice they contain, and how clouds affect the distribution of the sun's energy in the atmosphere. These measurements will help with research into atmospheric circulation models and weather patterns. The data will also help scientists develop better tools for making weather and climate predictions in the future, and provide insights into the global water cycle. || ",
            "hits": 14
        },
        {
            "id": 2559,
            "url": "https://svs.gsfc.nasa.gov/2559/",
            "result_type": "Visualization",
            "release_date": "2002-09-26T12:00:00-04:00",
            "title": "Atmospheric Black Carbon Alters Weather Patterns",
            "description": "Simulations of effects of black carbon aerosols on temperature, precipitation, and radiation flux.  This view covers the simulation of added black carbon in the atmosphere based on measurements from INDOEX and industrial regions in China.  It starts showing temperature changes (blue is cooler, red is warmer), fades to precipitation changes (blue is wetter, brown is dryer) and finally radiate flux at ground level (black is less, yellow is more). || ",
            "hits": 20
        },
        {
            "id": 2562,
            "url": "https://svs.gsfc.nasa.gov/2562/",
            "result_type": "Visualization",
            "release_date": "2002-09-26T12:00:00-04:00",
            "title": "Atmospheric Black Carbon Alters Weather Patterns (Still Images)",
            "description": "Simulations of effects of black carbon aerosols on temperature, precipitation, and radiation flux. This version presents stills from two different simulations (for comparison). For experiment A, black carbon is added based on INDOEX measurements while experiment B is run with no black carbon aerosols. || Changes in radiation flux (Top of Atmosphere), experiment A. || netTOA-asia.jpg (2560x1920) [294.9 KB] || netTOA-asia_web.jpg (320x240) [8.9 KB] || netTOA-asia.tif (2560x1920) [791.7 KB] || ",
            "hits": 16
        },
        {
            "id": 77,
            "url": "https://svs.gsfc.nasa.gov/77/",
            "result_type": "Visualization",
            "release_date": "1994-09-21T12:00:00-04:00",
            "title": "Cycles of the Atmosphere: Modules 1-3",
            "description": "This series of narrated modules uses conceptual animations to explain some of the fundamental physical principles underlying weather and climate. || ",
            "hits": 93
        }
    ]
}