{ "count": 48, "next": null, "previous": null, "results": [ { "id": 5424, "url": "http://svs.gsfc.nasa.gov/5424/", "result_type": "Visualization", "release_date": "2025-09-22T07:00:00-04:00", "title": "The Different Sources of Atmospheric Methane", "description": "This data visualization shows methane (CH₄) in the Earth’s atmosphere during 2021. The colors represent contributions from different sources: agriculture and waste (fuchsia), industry (blue), wetlands (green), wildfires and cropland fires (yellow), and other natural sources (gray).", "hits": 110 }, { "id": 5423, "url": "http://svs.gsfc.nasa.gov/5423/", "result_type": "Visualization", "release_date": "2024-11-27T11:00:00-05:00", "title": "Gravity waves disturbing the stratospheric polar vortex", "description": "Animation 1: Changes in temperature and height on the surface of 850 Kelvin potential temperature. The mountain generated gravity waves create strong cooling  as the gravity waves propagate through the stratosphere, while the polar vortex (the cold blue ring) evolves to become colder. || stratospher850_039_T.02498_print.jpg (1024x576) [108.0 KB] || stratospher850_039_T.02498_searchweb.png (320x180) [50.4 KB] || stratospher850_039_T.02498_thm.png (80x40) [4.2 KB] || stratospher850_039_T_1080p30.mp4 (1920x1080) [52.0 MB] || stratospher850_039_T [0 Item(s)] || stratospher850_039_T.mp4 (3840x2160) [148.7 MB] || stratospher850_039_T.mp4.hwshow || ", "hits": 69 }, { "id": 5333, "url": "http://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": 63 }, { "id": 5213, "url": "http://svs.gsfc.nasa.gov/5213/", "result_type": "Visualization", "release_date": "2024-08-14T15:00:00-04:00", "title": "Changes in the Atmosphere and Ocean During a Transition From La Niña to El Niño", "description": "This is the final version of the ENSO visualization with narration. There are HD and 4k versions available as mp4s. There is also a high quality 4k version which is very large (3.8 Gbytes). Other non-narrated formats including individual frames are available below this entry.This movie is also available on youtube here:https://youtu.be/jK20dl3g9R8?si=38LHf1e0iIzrfhRQlink || ENSO_99_final_4k.01200_print.jpg (1024x576) [82.0 KB] || ENSO_Locked_Final_1080.mp4 (1920x1080) [155.7 MB] || ENSO_Final_Audio.en_US.srt [8.6 KB] || ENSO_Final_Audio.en_US.vtt [8.7 KB] || ENSO_Locked_Final_2160.mp4 (3840x2160) [184.8 MB] || ENSO_Locked_Final_2160_HIGH_QUAL.mp4 (3840x2160) [3.7 GB] || ENSO_Locked_Final_2160.mp4.hwshow [188 bytes] || ", "hits": 269 }, { "id": 5196, "url": "http://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": 2429 }, { "id": 13347, "url": "http://svs.gsfc.nasa.gov/13347/", "result_type": "Produced Video", "release_date": "2019-10-16T15:00:00-04:00", "title": "Precipitation Accumulation and Anomalies", "description": "2015-2016 Precipitation Accumulation || 2015-16_Accumulation.00001_print.jpg (1024x576) [204.0 KB] || 2015-16_Accumulation.00001_searchweb.png (320x180) [98.8 KB] || 2015-16_Accumulation.00001_thm.png (80x40) [7.8 KB] || 2015-16_Accumulation.mp4 (1920x1080) [71.3 MB] || 2015-16_Accumulation_4K.webm (3840x2160) [27.8 MB] || accumulation (3840x2160) [0 Item(s)] || 2015-16_Accumulation_4K.mov (3840x2160) [3.4 GB] || ", "hits": 33 }, { "id": 4683, "url": "http://svs.gsfc.nasa.gov/4683/", "result_type": "Visualization", "release_date": "2018-10-10T00:00:00-04:00", "title": "NASA Scientists see Gravity Waves in Concentric Rings", "description": "NASA scientists have tracked gravity waves traveling thousands of miles across our atmosphere in concentric rings. Large storms can create these waves, which grow and spread upward hundreds of miles above Earth's surface. The AIRS instrument on NASA's Aqua satellite detected gravity waves in the troposphere and stratosphere 12 hours before a deadly EF5 tornado in Moore, Oklahoma, in 2013. On the instrument's next pass 11 hours later, it detected even stronger waves.We pull up 250 miles to the ionosphere, where the waves can be observed by GPS satellites. Here gravity waves are shown in greens and yellows, like ripples in a pond. The waves and tornado were both produced by a long-lived storm system.Understanding the spread of gravity waves improves global weather forecasting and space weather forecasting.Complete transcript available.This video is also available on our YouTube channel. || GravityWavesBeforeAfterMooreTornado_0740_print.jpg (1024x576) [131.1 KB] || GravityWavesBeforeAfterMooreTornado_0740_searchweb.png (320x180) [102.9 KB] || GravityWavesBeforeAfterMooreTornado_0740_thm.png (80x40) [8.3 KB] || GravityWavesBeforeAfterMooreTornado_0740.tif (1920x1080) [3.2 MB] || GravityWavesMooreOK-SameWordsDifferentOrder.webm (1920x1080) [7.4 MB] || GWfacebook-AIRS-TEC-GOES-4k-audio.mp4 (1920x1080) [76.1 MB] || GravityWavesMooreOK-SameWordsDifferentOrder.mp4 (1920x1080) [117.1 MB] || composite (3849x2160) [0 Item(s)] || GW4k-AIRS-TEC-GOES-4k-audio-youtube.en_US.srt [1.2 KB] || GW4k-AIRS-TEC-GOES-4k-audio-youtube.en_US.vtt [1.2 KB] || GW4k-AIRS-TEC-GOES-4k-audio-youtube.mp4 (3840x2160) [240.0 MB] || GWfacebook-AIRS-TEC-GOES-4k-audio.mp4.hwshow [199 bytes] || ", "hits": 81 }, { "id": 40348, "url": "http://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": 124 }, { "id": 11937, "url": "http://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": 155 }, { "id": 30766, "url": "http://svs.gsfc.nasa.gov/30766/", "result_type": "Hyperwall Visual", "release_date": "2016-04-18T08:00:00-04:00", "title": "El Niño Precipitation Anomaly", "description": "El Nino precipitation anomaly || from_hal_2_1080p.00001_print.jpg (1024x576) [320.6 KB] || from_hal_2_1080p.00001_searchweb.png (320x180) [131.9 KB] || from_hal_2_1080p.00001_thm.png (80x40) [8.2 KB] || el_nino_precip_anom_720p.webm (1280x720) [22.6 MB] || el_nino_precip_anom_360p.mp4 (640x360) [50.9 MB] || 4104x2304_16x9_30p (4104x2304) [256.0 KB] || el_nino_precip_anom_1080p.mp4 (1920x1080) [264.2 MB] || el_nino_precip_anom_720p.mp4 (1280x720) [149.1 MB] || el_nino_precip_anom_2304p.mp4 (4096x2304) [809.4 MB] || El_Nino_Precipitation_Anomaly_30766.key [182.5 MB] || El_Nino_Precipitation_Anomaly_30766.pptx [180.2 MB] || the-earth-observing-fleet-by-theme-precipitation.hwshow [1.2 KB] || ", "hits": 57 }, { "id": 4413, "url": "http://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": 54 }, { "id": 30640, "url": "http://svs.gsfc.nasa.gov/30640/", "result_type": "Hyperwall Visual", "release_date": "2014-12-10T10:00:00-05:00", "title": "Simulated Surface Carbon Monoxide", "description": "Carbon Monoxide animation of Dec 1 - 31, 2006 || geos_cosc_2304p.00001_print.jpg (1024x576) [112.5 KB] || cosc_globe_c1440_NR_BETA9-SNAP_20061201_0000z.png (5760x2880) [17.4 MB] || cosc_globe_c1440_NR_BETA9-SNAP_20061201_0000z_print.jpg (1024x512) [127.3 KB] || cosc_globe_c1440_NR_BETA9-SNAP_20061201_0000z_searchweb.png (180x320) [74.1 KB] || geos_cosc_2304p.00001_thm.png (80x40) [5.9 KB] || geos_cosc_720p.mp4 (1280x720) [20.1 MB] || geos_cosc_720p.webm (1280x720) [2.9 MB] || geos_cosc_2304p.mp4 (4096x2304) [137.7 MB] || ", "hits": 35 }, { "id": 11501, "url": "http://svs.gsfc.nasa.gov/11501/", "result_type": "Produced Video", "release_date": "2014-06-13T00:00:00-04:00", "title": "Hadley Cell Circulation", "description": "11501_Present_youtube_hq_print.jpg (1024x576) [57.7 KB] || 11501_Present_youtube_hq_web.png (320x180) [52.3 KB] || 11501_Present_youtube_hq_thm.png (80x40) [4.0 KB] || 11501_Present-1920_prores.mov (1920x1080) [654.4 MB] || 11501_Present_prores.mov (1280x720) [346.8 MB] || 11501_Present_youtube_hq.mov (1920x1080) [5.1 MB] || 11501_Present_1280x720.wmv (1280x720) [2.6 MB] || 11501_Present_appletv.m4v (960x540) [6.4 MB] || 11501_Present_1920_Frames (1920x1080) [128.0 KB] || 11501_Present_720x480.webmhd.webm (960x540) [815.6 KB] || 11501_Present_ipod_lg.m4v (640x360) [3.2 MB] || 11501_Present_nasaportal.mov (640x360) [3.9 MB] || 11501_Present_720x480.wmv (720x480) [1.4 MB] || 11501_Present_ipod_sm.mp4 (320x240) [1.1 MB] || ", "hits": 80 }, { "id": 30190, "url": "http://svs.gsfc.nasa.gov/30190/", "result_type": "Hyperwall Visual", "release_date": "2013-10-17T12:00:00-04:00", "title": "Saharan Dust over the Atlantic", "description": "Easterly winds carry Saharan dust from Africa high above the North Atlantic Ocean. At left, a natural color image captured by NASA’s Aqua satellite shows the dust as it travels offshore on September 21, 2009. The dust plume is shaped by the wind, forming waves near the surface immediately offshore. An even higher, thinner tan cloud veils the surface-level dust. Dust has infiltrated into different heights of the atmosphere. Differences in wind direction at various heights in the atmosphere create the “X” near the center of the dust plume.In certain atmospheric conditions, dust from the Sahara Desert is transported clear around the globe. In fact, many scientists use space-based multi-angle imaging to track the journey of dust. Having the capability to track dust from space, provides even greater opportunities for understanding atmospheric circulation patterns at a global scale. || ", "hits": 17 }, { "id": 11125, "url": "http://svs.gsfc.nasa.gov/11125/", "result_type": "Produced Video", "release_date": "2012-11-13T00:00:00-05:00", "title": "Surrounded", "description": "The massive apron of sea ice that encircles Antarctica at the end of each winter has been steadily expanding. From 1978 to 2010, Antarctic sea ice has grown on average each year by an area about equal to the size of Connecticut. In October 2012 Antarctic sea ice covered a record 7.5 million square miles, more than twice the land area of the contiguous U.S. The sea ice around Antarctica melts almost completely each summer and then grows rapidly each winter. Scientists think a change in atmospheric circulation could be contributing to the ice growth. The continent's unsheltered coastline allows harsh winds to push the ice out into the ocean, and as these winds have strengthened in recent years sea ice has expanded. The visualization uses NASA satellite data to show how winter sea ice completely engulfs Antarctica. || ", "hits": 65 }, { "id": 3908, "url": "http://svs.gsfc.nasa.gov/3908/", "result_type": "Visualization", "release_date": "2012-02-08T00:00:00-05:00", "title": "ECCO2 Sea Surface Temperature and Flows", "description": "Generated for Science On a Sphere show \"Loop\". This animation depicts the part of Earth's ocean circulation model that involves heat transfer.In the polar latitudes the ocean loses heat to the atmosphere. Near the equator ocean water warms, and because it is less dense, it remains close to the surface. Cast away from the planet's equator by the winds and Earth's rotation, warm equatorial waters travel on or near the surface of the globe outward toward high latitudes. But as water loses heat to the increasingly cold atmosphere far away from the equator it sinks and pushes other water out of the way. Endlessly, this pump known as Meridional Overturning Circulation, circulates water and heat around the globe. Considering that the ocean stores exponentially more heat than the atmosphere and the fact that they're always in direct contact with each other, there's a strong relationship between oceanic heat and atmospheric circulation. || ", "hits": 38 }, { "id": 3486, "url": "http://svs.gsfc.nasa.gov/3486/", "result_type": "Visualization", "release_date": "2007-12-03T00:00:00-05:00", "title": "GEOS-5 Model Run Showing Hurricane Katrina", "description": "This visualization shows data from a global atmospheric assimilation model for August 2005. In early August the camera looks towards the North pole showing the swirling winds caused by the Coriolis effect; then the camera moves down towards Africa which is the birthplace of many tropical storms; finally, the camera moves across the Atlantic as many of the storms form during 2005 ending with Hurricane Katrina. This visualization was created in support of demonstrations given at the Supercomputing 2007 Conference. || ", "hits": 35 }, { "id": 20082, "url": "http://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": 18 }, { "id": 3032, "url": "http://svs.gsfc.nasa.gov/3032/", "result_type": "Visualization", "release_date": "2005-01-12T12:00:00-05:00", "title": "Model of Clouds during Hurricane Isabel, 2003 (WMS)", "description": "The NASA finite-volume General Circulation Model (fvGCM) is used to produce a high-resolution weather prediction system. This model has an increased accuracy of predicting the strength and location of hurricanes over other prediction methods. Several variables are predicted, including cloud cover and precipitable water in the atmosphere. Data from Hurricane Isabel was used to validate the fvGCM model. || ", "hits": 22 }, { "id": 3023, "url": "http://svs.gsfc.nasa.gov/3023/", "result_type": "Visualization", "release_date": "2004-09-30T12:00:00-04:00", "title": "TRMM Tropical Microwave Imager (TMI) Sees the Power of Hurricane Jeanne on September 25, 2004", "description": "NASA's TRMM spacecraft is used by meteorologists to understand Hurricane Jeanne. TRMM saw this view of Hurricane Jeanne on September 25, 2004, just before it made landfall. The cloud cover is taken by TRMM's Visible and Infrared Scanner (VIRS). It looks underneath of the storm's clouds to reveal the underlying rain structure. Blue represents areas with at least 0.25 inches of rain per hour. Green shows at least 0.5 inches of rain per hour. Yellow is at least 1.0 inches of rain and red is at least 2.0 inches of rain per hour. || ", "hits": 31 }, { "id": 3024, "url": "http://svs.gsfc.nasa.gov/3024/", "result_type": "Visualization", "release_date": "2004-09-30T12:00:00-04:00", "title": "TRMM Tropical Microwave Imager (TMI) Sees the Power of Hurricane Jeanne on September 26, 2004", "description": "NASA's TRMM spacecraft is used by meteorologists to understand It looks underneath of the storm's clouds to reveal the underlying rain structure. Blue represents areas with at least 0.25 inches of rain per hour. Green shows at least 0.5 inches of rain per hour. Yellow is at least 1.0 inches of rain and red is at least 2.0 inches of rain per hour. || ", "hits": 34 }, { "id": 3025, "url": "http://svs.gsfc.nasa.gov/3025/", "result_type": "Visualization", "release_date": "2004-09-30T12:00:00-04:00", "title": "TRMM Tropical Microwave Imager (TMI) view of Hurricane Jeanne on September 27, 2004", "description": "NASA's TRMM spacecraft is used by meteorologists to understand Hurricane Jeanne. TRMM saw this view of Hurricane Jeanne on September 27, 2004, just before it made landfall. The cloud cover is taken by TRMM's Visible and Infrared Scanner (VIRS). It looks underneath of the storm's clouds to reveal the underlying rain structure. Blue represents areas with at least 0.25 inches of rain per hour. Green shows at least 0.5 inches of rain per hour. Yellow is at least 1.0 inches of rain and red is at least 2.0 inches of rain per hour. || ", "hits": 33 }, { "id": 3021, "url": "http://svs.gsfc.nasa.gov/3021/", "result_type": "Visualization", "release_date": "2004-09-27T12:00:00-04:00", "title": "Hurricane Jeanne Crashes into Florida", "description": "With the help of NASA's Aqua and Terra satellites, we get ring-side seats of Hurricane Jeanne traversing across Florida. || ", "hits": 20 }, { "id": 3017, "url": "http://svs.gsfc.nasa.gov/3017/", "result_type": "Visualization", "release_date": "2004-09-24T12:00:00-04:00", "title": "Hurricane Jeanne on September 23, 2004", "description": "After days of hammering Haiti, Hurricane Jeanne heads toward the United States. || ", "hits": 23 }, { "id": 3018, "url": "http://svs.gsfc.nasa.gov/3018/", "result_type": "Visualization", "release_date": "2004-09-24T12:00:00-04:00", "title": "A Fixed View of Hurricane Jeanne's Progression", "description": "After days of hammering Haiti, Hurricane Jeanne heads towards the United States. || ", "hits": 22 }, { "id": 3019, "url": "http://svs.gsfc.nasa.gov/3019/", "result_type": "Visualization", "release_date": "2004-09-24T12:00:00-04:00", "title": "Hurricane Jeanne's Progression with a Fixed View", "description": "Hurricane Jeanne is inching ever closer to Florida. Jeanne will make the fourth hurricane to hit Florida this year. || ", "hits": 18 }, { "id": 3020, "url": "http://svs.gsfc.nasa.gov/3020/", "result_type": "Visualization", "release_date": "2004-09-24T12:00:00-04:00", "title": "Up Close and Personal with Hurricane Jeanne", "description": "The Terra Satellite with the help of the MODIS instrument is able to get high resolution imagery of Hurricane Jeanne. || ", "hits": 24 }, { "id": 3016, "url": "http://svs.gsfc.nasa.gov/3016/", "result_type": "Visualization", "release_date": "2004-09-22T12:00:00-04:00", "title": "TRMM Precipiation Radar Observes Rain Structure of Hurricane Jeanne on September 23, 2004", "description": "NASA's TRMM spacecraft is used by meteorologists to understand Hurricane Jeanne. TRMM recorded this view of Hurricane Jeanne on September 23, 2004. The cloud cover is taken by TRMM's Visible and Infrared Scanner(VIRS) and the rain structure is seen by TRMM's Precipitation Radar (PR). It looks underneath of the storm's clouds to reveal the underlying rain structure. Blue represents areas with at least 0.25 inches of rain per hour. Green shows at least 0.5 inches of rain per hour. Yellow is at least 1.0 inches of rain and Red is at least 2.0 inches of rain per hour. || ", "hits": 32 }, { "id": 2987, "url": "http://svs.gsfc.nasa.gov/2987/", "result_type": "Visualization", "release_date": "2004-09-10T12:00:00-04:00", "title": "Hurricane Isabel Genesis", "description": "This animation follows Hurricane Isabel (2003) from its birthplace in the Ethiopian Highlands of East Africa, across the Atlantic Ocean, to the United States. Atlantic hurricanes are often formed as winds over the Gulf of Aden intersect with the Ethiopian Highlands. This animation zooms into the Ethiopian Highlands and shows several storms being formed. Then, the animation dissolves in a reticle to focus in specifically on the formation of Hurricane Isabel. The reticle follows the storm across Africa and into the Atlantic. The path and intensity of Hurricane Isabel is depicted by a colored path. Blue represents the genesis of the storm. Green is a Tropical Depression where winds are less than 39 miles per hour. Yellow is a Tropical Storm where winds are between 39 and 73 miles per hour. Red is a category 1 hurricane where winds are between 74 and 95 miles per hour. Light Red is a category 2 hurricane with winds between 96 and 110 miles per hour. Magenta is a category 3 hurricane with winds between 111 and 130 miles per hour. Light magenta is a category 4 hurricane with winds between 131 and 154 miles per hour. White represents a category 5 hurricane where winds are greater than 155 miles per hour. Note how Isabel gains size and speed over the warm waters of the Atlantic. || ", "hits": 69 }, { "id": 2998, "url": "http://svs.gsfc.nasa.gov/2998/", "result_type": "Visualization", "release_date": "2004-09-09T12:00:00-04:00", "title": "MODIS Data May Aid EPA Air Quality Predictions (Wide)", "description": "This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forecasts.Currently, most air quality forecasts are generated from ground based measuring stations; however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the Midwest. Notice that the movement of the air mass is evident only from the MODIS data.This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. || ", "hits": 11 }, { "id": 2999, "url": "http://svs.gsfc.nasa.gov/2999/", "result_type": "Visualization", "release_date": "2004-09-09T12:00:00-04:00", "title": "MODIS Data May Aid EPA Air Quality Predictions (Tight)", "description": "This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forecasts.Currently, most air quality forecasts are generated from ground based measuring stations; however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the Midwest. Notice that the movement of the air mass is evident only from the MODIS data.This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. || ", "hits": 17 }, { "id": 2994, "url": "http://svs.gsfc.nasa.gov/2994/", "result_type": "Visualization", "release_date": "2004-09-08T12:00:00-04:00", "title": "Flying Along with Hurricane Frances", "description": "Two Earth Observing Fleet Satellites, Aqua and Terra have been monitoring the progress of Hurricane Frances. || ", "hits": 16 }, { "id": 2995, "url": "http://svs.gsfc.nasa.gov/2995/", "result_type": "Visualization", "release_date": "2004-09-08T12:00:00-04:00", "title": "Hurricane Isabel: Under the Hood (background only)", "description": "This visualization shows NOAA/GOES infrared (IR) data of Hurricane Isabel as it makes its way across the Atlantic towards landfall. The track of Isabel is shown using a color code to indicate the storm's category: green=tropical depression, yellow=tropical storm, red=category 1, light red=category 2, purple=category 3, light purple=category4, white=category 5. This visualization is the background for animation ID 2996. || ", "hits": 39 }, { "id": 2996, "url": "http://svs.gsfc.nasa.gov/2996/", "result_type": "Visualization", "release_date": "2004-09-08T12:00:00-04:00", "title": "Hurricane Isabel: Under the Hood (with popout boxes)", "description": "This visualization shows NOAA/GOES infrared (IR) data of Hurricane Isabel as it makes its way across the Atlantic towards landfall. The track of Isabel is shown using a color code to indicate the storm's category: green=tropical depression, yellow=tropical storm, red=category 1, light red=category 2, purple=category 3, light purple=category 4, white=category 5. The inset box on the left shows how the distribution of rainfall (circular sturctures below) and heat inside the storm (oblong structures above) fluctuated dramatically as the storm changed intensities. The warm core of the hurricane was the engine that drove the storm, allowing it to draw up energy from the ocean, gathering strength and size. The inset box to the right shows vital statistics about the hurricane including wind speed, pressure, etc. The background only of this animation (without the inset boxes) can be found under animation 2995. || ", "hits": 34 }, { "id": 2997, "url": "http://svs.gsfc.nasa.gov/2997/", "result_type": "Visualization", "release_date": "2004-09-08T12:00:00-04:00", "title": "Hurricane Isabel: Under the Hood (PR and AMSU only)", "description": "This visualization is an inset from animation 2996. It shows how the distribution of Hurricane Isabel's rainfall (circular sturctures below) and heat inside the storm (oblong structures above) fluctuated dramatically as the storm changed intensities. The warm core of the hurricane was the engine that drove the storm, allowing it to draw up energy from the ocean, gathering strength and size. || ", "hits": 29 }, { "id": 2986, "url": "http://svs.gsfc.nasa.gov/2986/", "result_type": "Visualization", "release_date": "2004-09-07T12:00:00-04:00", "title": "Hurricane Charley Progression", "description": "SeaWiFS tracks Hurricane Charley from August 9, 2004 to August 15, 2004. This animation zooms down to the Caribbean Sea where Hurricane Charley was first classified as a Tropical Depression. It ends in the Gulf of Maine where it lost its status as a Tropical Depression. It shows the SeaWiFS image from each day with the track of the eye of the storm overlaid on top of each image. Green denotes Tropical Depression status. Gold denotes Tropical Storm status. On the Saffir Simpson scale, red is hurricane category 1, orange is hurricane category 3, and purple is hurricane category 4. || ", "hits": 84 }, { "id": 2990, "url": "http://svs.gsfc.nasa.gov/2990/", "result_type": "Visualization", "release_date": "2004-09-07T12:00:00-04:00", "title": "TRMM Observes Cloud Towers in Hurricane Frances", "description": "NASA's TRMM satellite (Tropical Rainfall Measuring Mission) can see hurricanes in three dimensions. Looking down from its near Earth orbit, the vehicle is unique in the space agency's fleet of Earth observing instruments. Here we see Frances depicted showing aspects of the storm's inner structure. Red colors indicate regions of the most significant rainfall. Notice the spires stretching up in to the sky. These 'hot towers' suggest an efficient and powerful heat engine inside the storm, emphasizing to experts just how powerful this particular hurricane may be. This visualization shows the internal storm structure by melting away different surfaces of constant rain rates then building them back up. The surfaces are 0.25mm/hr (blue), 0.5mm/hr (green), 1.0 mm/hr (yellow), and 2.0 mm/hr (red/orange). || ", "hits": 15 }, { "id": 2991, "url": "http://svs.gsfc.nasa.gov/2991/", "result_type": "Visualization", "release_date": "2004-09-07T12:00:00-04:00", "title": "SeaWiFS View of Hurricane Frances from 1 September 2004", "description": "SeaWiFS captured this data of Hurricane Frances on 1 September 2004. This 'beauty shot' was created to accompany live TV interviews about hurricanes. || ", "hits": 22 }, { "id": 2992, "url": "http://svs.gsfc.nasa.gov/2992/", "result_type": "Visualization", "release_date": "2004-09-07T12:00:00-04:00", "title": "Hurricane Frances Progression with a Fixed View", "description": "A fixed view of the Atlantic Ocean with Hurricane Frances sprinting towards Florida || ", "hits": 11 }, { "id": 2993, "url": "http://svs.gsfc.nasa.gov/2993/", "result_type": "Visualization", "release_date": "2004-09-07T12:00:00-04:00", "title": "Up on Deck, Hurricane Ivan", "description": "From space, the Aqua satellite has a bird's eye view of Hurricane Ivan. This data was gathered on the September 5, 2004. At that time, Ivan was off the coast of Brazil. || ", "hits": 36 }, { "id": 2975, "url": "http://svs.gsfc.nasa.gov/2975/", "result_type": "Visualization", "release_date": "2004-09-03T12:00:00-04:00", "title": "Hurricane Frances on September 1, 2004", "description": "The Terra satellite gets a bird's eye view of Hurricane Frances, with the help of the MODIS instrument. || ", "hits": 29 }, { "id": 2977, "url": "http://svs.gsfc.nasa.gov/2977/", "result_type": "Visualization", "release_date": "2004-09-03T12:00:00-04:00", "title": "Hurricane Frances Progression with Fixed View", "description": "Hurricane Frances races towards Florida and both the Terra and Aqua satellite are spectators. || ", "hits": 19 }, { "id": 2974, "url": "http://svs.gsfc.nasa.gov/2974/", "result_type": "Visualization", "release_date": "2004-09-01T12:00:00-04:00", "title": "Hurricane Frances Progression", "description": "NASA satellites are keeping an eye on Hurricane Frances journey across the Atlantic Ocean. MODIS Instrument on board NASA's Aqua and Terra satellites captured a series of high resolution images of Hurricane Frances. || ", "hits": 22 }, { "id": 2973, "url": "http://svs.gsfc.nasa.gov/2973/", "result_type": "Visualization", "release_date": "2004-08-19T12:00:00-04:00", "title": "Alaska Fire Particles Traverse Parts of Canada and the United States (June 29, 2004, through July 19, 2004)", "description": "Aerosols created by fires in Alaska and Canada waft over the United States. These images from the TOMS instrument show levels of the absorbing aerosol particles (airborne microscopic dust/smoke). More information on the TOMS instrument can be viewed at http://toms.gsfc.nasa.gov/index.html. || ", "hits": 24 }, { "id": 2900, "url": "http://svs.gsfc.nasa.gov/2900/", "result_type": "Visualization", "release_date": "2004-02-12T12:00:00-05:00", "title": "Global Atmospheric Carbon Monoxide in 2000 (WMS)", "description": "This visualization shows global carbon monoxide concentrations at the 500 millibar altitude in the atmosphere from March 1, 2000 through December 31, 2000. Areas in red have 200 parts per billion of carbon monoxide or more at that altitude (around 5,500 meters), while areas in blue are 50 parts per billion or less. Carbon monoxide is an atmospheric pollutant and the highest concentrations come from grassland and forest fires in Africa and South America, although there is evidence that industrial sources may also be a factor. Atmospheric circulation rapidly moves the carbon monoxide to other parts of the world once it has reached this altitude. This data was measured by the MOPITT instrument on the Terra satellite. || ", "hits": 32 }, { "id": 2901, "url": "http://svs.gsfc.nasa.gov/2901/", "result_type": "Visualization", "release_date": "2004-02-12T12:00:00-05:00", "title": "Atmospheric Water Vapor during the 1998 La Niña (WMS)", "description": "Water vapor is a small but significant constituent of the atmosphere, warming the planet due to the greenhouse effect and condensing to form clouds which both warm and cool the Earth in different circumstances. A key feature of global atmospheric water vapor convection is the Intertropical Convergence Zone, the low pressure region within five degrees of the equator where the trade winds converge and solar heating of the atmosphere forces the water-laden air to rise in altitude, form clouds, and then precipitate as rain in the afternoon. This visualization shows the global water vapor distribution in gray and white and the global precipitation in yellow every hour from August 30, 1998 to September 20, 1998. The afternoon thunderstorms in the tropics are seen as a flashing yellow region that moves from east to west, following the sun. This is a La Niña period, when the water to the west of South America is cooler than normal, forcing the atmosphere there to cool down and hold less water. Strong east-to-west winds can be seen in this region, contributing to the high water vapor region that forms further to the west over southeast Asia, the Philippines, and Indonesia, causing increased humidity and rainfall in that region. This data is from the Goddard Earth Modeling System, a coupled land-ocean-atmosphere model which uses earth and satellite-based observations to simulate the Earth's physical system during events such as La Niña. || ", "hits": 22 }, { "id": 2902, "url": "http://svs.gsfc.nasa.gov/2902/", "result_type": "Visualization", "release_date": "2004-02-12T12:00:00-05:00", "title": "Atmospheric Water Vapor during the 1997-1998 El Niño (WMS)", "description": "Water vapor is a small but significant constituent of the atmosphere, warming the planet due to the greenhouse effect and condensing to form clouds which both warm and cool the Earth in different circumstances. A key feature of global atmospheric water vapor convection is the Intertropical Convergence Zone, the low pressure region within five degrees of the equator where the trade winds converge and solar heating of the atmosphere forces the water-laden air to rise in altitude, form clouds, and then precipitate as rain in the afternoon. This visualization shows the global water vapor distribution in gray and white and the global precipitation in yellow every hour from December 20, 1997 to January 14, 1998. The afternoon thunderstorms in the tropics are seen as a flashing yellow region that moves from east to west, following the sun. This is an El Niño period, when the water to the west of South America is warmer than normal, allowing the atmosphere there to heat up and hold more water. This region feeds a high band of water vapor reaching to the southeastern United States and causes increased humidity and rainfall in that region. This data is from the Goddard Earth Modeling System, a coupled land-ocean-atmosphere model which uses earth and satellite-based observations to simulate the Earth's physical system during events such as El Niño. || ", "hits": 24 }, { "id": 2896, "url": "http://svs.gsfc.nasa.gov/2896/", "result_type": "Visualization", "release_date": "2004-02-11T12:00:00-05:00", "title": "Wind Vectors for Hurricane Erin (WMS)", "description": "This visualization shows wind vectors for Hurricane Erin on September 10, 2001. Wind direction and speed are represented by the direction and speed of moving arrows, respectively. This visualization represents a single measurement taken by the SeaWinds instrument on the QuikSCAT satellite, taken at 14:27:00 UTC on September 10, 2001. The WMS version of this visualization which is available through the SVS Image Server presents this visualization with a different timestamp for each frame in order to more easily present the images as a moving series of images. It should be noted that each frame really has a time stamp of 2001-09-10 14:27:00 UTC. || ", "hits": 32 } ] }