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    "results": [
        {
            "id": 11202,
            "url": "https://svs.gsfc.nasa.gov/11202/",
            "result_type": "Produced Video",
            "release_date": "2013-01-31T16:00:00-05:00",
            "title": "Monitoring Changes in the Chesapeake Bay Watershed",
            "description": "Landsat is a critical and invaluable tool for characterizing the landscape and mapping it over time. Landsat data provides a baseline of observations for science about how human activities on the land affect water quality, affect wildlife habitat, affect air quality. The satellite imagery covers the entire 64,000 square miles of the Chesapeake Bay watershed (spanning six states and the District of Columbia). Without it we wouldn't be able to really understand how sources of nutrients and sediment have changed and where they are in the Chesapeake Bay. The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey. The narration in this video is by Peter Claggett, a research geographer with the U.S. Geological Survey's Eastern Geographic Science Center. He has worked at the Chesapeake Bay Program Office since 2002, where he leads the Land Data Team that conducts research on land change characterization, analysis, and modeling in the Chesapeake Bay Watershed. The audio was adapted from a radio interview with EarthSky.org. || ",
            "hits": 26
        },
        {
            "id": 10829,
            "url": "https://svs.gsfc.nasa.gov/10829/",
            "result_type": "Produced Video",
            "release_date": "2011-10-06T00:00:00-04:00",
            "title": "27 Storms: Arlene To Zeta",
            "description": "By the numbers the 2005 Atlantic tropical storm season was unlike any other: A total 27 tropical storms, including 15 hurricanes, made it a record-breaking year. The season also gave rise to Katrina, one of the most intense and costliest hurricanes that resulted in 1,200 deaths and more than $100 billion in damages. The unusually high frequency and strength of these tropical storms were linked to favorable development conditions observed in the ocean and atmosphere between the Caribbean Sea and west coast of Africa where they form. Easterly winds blowing off the African continent seeded the Atlantic with a large number of proto-hurricanes—swirling air masses that grow over tropical waters. Ideal open ocean wind patterns on the surface and high above permitted storm clouds to easily mature into vigorous convective cells—the building blocks of hurricanes. Warmer ocean surface waters slightly above their 80 degrees Fahrenheit average further strengthened the storms and sent the spinning hurricanes into overdrive. The visualization below tracks the paths of all 27 tropical storms that made up this historical year. || ",
            "hits": 49
        },
        {
            "id": 3472,
            "url": "https://svs.gsfc.nasa.gov/3472/",
            "result_type": "Visualization",
            "release_date": "2008-04-21T08:00:00-04:00",
            "title": "Chesapeake Bay Flyover and Watershed Region",
            "description": "The watershed that drains into the Chesapeake Bay is a huge expanse that extends 64,000 miles into six states across North America (New York, Pensylvania, Maryland, Delaware, Virginia, and West Virginia) and the District of Columbia. This visualization overlays the full watershed onto a Landsat satellite visualization of the Bay area. The eight different distinctly colored regions indicate the Chesapeake's major subwatersheds. These subwatershed regions are: Susquehanna, Potomac, Patuxent, MD West Shore, Rapahhannock, Eastern Shore, James and York. This visualization is an extension of the Chesapeake Bay Flyover (#3446) in order to demonstrate the entire Chesapeake Bay Watershed region. The imagery utilized for this animation is a false-color  Chesapeake Bay Landsat-7 Mosaic (#3473) composed of eight scenes acquired between 1999-2002, which were put together and color corrected to resemble natural looking colors.Data Notes:The mosaic was created by EarthSat under contract with NASA as part of the GeoCover 2000 product. All images used in GeoCover were acquired by Landsat-7 during the period of 1999-2002. The pixel size of the full resolution image represents 14.25 m on the ground. The Chesapeake Bay mosaic uses portions of eight Landsat-7 scenes. Below you will find a listing of the eight Landsat 7 images that were put together to create the composite image. Landsat scenes are organized by a Path and Row number according to the Worldwide Reference System. (To learn more about Landsat's Worldwide Reference System, please visit: http://landsat.gsfc.nasa.gov/about/wrs.html)Scenes used in the Chesapeake Bay mosaic: Landsat-7 WRS Path 15-Row 32 acquired on Oct. 05, 2001 Landsat-7 WRS Path 14-Row 32 acquired on Sept. 23, 1999 Landsat-7 WRS Path 15-Row 33 acquired on October 05, 2001 Landsat-7 WRS Path 14-Row 33 acquired on July 10, 2001Landsat-7 WRS Path 15-Row 34 acquired on Sept. 30, 1999 Landsat-7 WRS Path 14-Row 34 acquired on July 10, 2001 Landsat-7 WRS Path 15-Row 35 acquired on Sept. 30, 1999 Landsat-7 WRS Path 14-Row 35 acquired on Sept. 23, 1999 || ",
            "hits": 40
        },
        {
            "id": 3477,
            "url": "https://svs.gsfc.nasa.gov/3477/",
            "result_type": "Visualization",
            "release_date": "2008-04-21T08:00:00-04:00",
            "title": "Chesapeake Bay Watershed Region (short version)",
            "description": "The watershed that drains into the Chesapeake Bay is a huge expanse that extends 64,000 miles into five states across North America (New York, Pensylvania, Maryland, Delaware, Virginia) and the District of Columbia. This visualization overlays the full watershed onto a Landsat satellite visualization of the Bay area. The eight different distinctly colored regions indicate the Chesapeake's major subwatersheds. These subwatershed regions are: Susquehanna, Potomac, Patuxent, MD West Shore, Rapahhannock, Eastern Shore, James and York. This visualization contains just the last part of the  Chesapeake Bay Flyover and Watershed Region (#3472) animation and demonstrates the entire Watershed without the Chesapeake Bay flyover. This animation highlights and labels each subwatershed in turn. Data Notes:The mosaic was created by EarthSat under contract with NASA as part of the GeoCover 2000 product. All images used in GeoCover were acquired by Landsat-7 during the period of 1999-2002. The pixel size of the full resolution image represents 14.25 m on the ground. The Chesapeake Bay mosaic uses portions of eight Landsat-7 scenes. Below you will find a listing of the eight Landsat 7 images that were put together to create the composite image. Landsat scenes are organized by a Path and Row number according to the Worldwide Reference System. (To learn more about Landsat's Worldwide Reference System, please visit: http://landsat.gsfc.nasa.gov/about/wrs.html)Scenes used in the Chesapeake Bay mosaic: Landsat-7 WRS Path 15-Row 32 acquired on Oct. 05, 2001 Landsat-7 WRS Path 14-Row 32 acquired on Sept. 23, 1999 Landsat-7 WRS Path 15-Row 33 acquired on October 05, 2001 Landsat-7 WRS Path 14-Row 33 acquired on July 10, 2001Landsat-7 WRS Path 15-Row 34 acquired on Sept. 30, 1999 Landsat-7 WRS Path 14-Row 34 acquired on July 10, 2001 Landsat-7 WRS Path 15-Row 35 acquired on Sept. 30, 1999 Landsat-7 WRS Path 14-Row 35 acquired on Sept. 23, 1999 || ",
            "hits": 155
        },
        {
            "id": 3486,
            "url": "https://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": 3437,
            "url": "https://svs.gsfc.nasa.gov/3437/",
            "result_type": "Visualization",
            "release_date": "2007-07-22T00:00:00-04:00",
            "title": "The A-Train Observes Tropical Storm Debby",
            "description": "The A-Train is a group of spacecraft flying in close formation allowing data taken by each instrument to be correlated to the other instruments providing data synergy. The A-Train includes Aqua, CloudSat, CALIPSO, Parasol, and Aura. The animation begins showing the Earth with moving clouds and with a day/night terminator. Time slows down, and A-train spacecraft orbits are added during a daytime pass. The orbits progress around the globe for 12 hours. During a night time pass the camera zooms into Tropical Storm Debby as the A-train flies over on August 24, 2006. Data sets from some of the A-train's spacecraft/instruments are shown including Aqua/MODIS, CloudSat, CALIPSO, and Aqua/AIRS. This visualization was created to support an A-Train session at the 2007 International Geoscience and Remote Sensing Symposium (IGARSS). || ",
            "hits": 42
        },
        {
            "id": 3376,
            "url": "https://svs.gsfc.nasa.gov/3376/",
            "result_type": "Visualization",
            "release_date": "2006-10-02T00:00:00-04:00",
            "title": "Current Tropical Sea Surface Temperatures",
            "description": "Current sea surface temperature (SST) and SST anomaly data. || ",
            "hits": 73
        },
        {
            "id": 3359,
            "url": "https://svs.gsfc.nasa.gov/3359/",
            "result_type": "Visualization",
            "release_date": "2006-06-07T00:00:00-04:00",
            "title": "MAP '05 Models Hurricane Katrina's Winds on August 29, 2005",
            "description": "During the summer of 2005 the Earth-Sun Exploration Division of NASA/Goddard Space Flight Center(GSFC) brought together resources from NASA to study tropical cyclones. The MAP '05 Project, so named for its affiliation with NASA's Modeling, Analysis, and Prediction (MAP) program, applies NASA's advanced satellite remote sensing technologies and earth system modeling capabilities to improve our understanding of tropical cyclones that develop in and move across the Atlantic basin. MAP '05 implemented the most recent version of the NASA/Goddard Earth Observing System (GEOS) fifth-generation global atmospheric model and the Gridpoint Statistical Interpolation (GSI) analysis system under development as a collaboration between NOAA's National Centers for Environmental Prediction (NCEP) and the Global Modeling and Assimilation Office (GMAO) at GSFC. This animation generates a white static flow fields from the MAP '05 wind analysis data. || ",
            "hits": 56
        },
        {
            "id": 3360,
            "url": "https://svs.gsfc.nasa.gov/3360/",
            "result_type": "Visualization",
            "release_date": "2006-06-07T00:00:00-04:00",
            "title": "MAP '05 Models Hurricane Katrina's Winds from August 23, 2005 through August 31, 2005",
            "description": "During the summer of 2005, the Earth-Sun Exploration Division of NASA/Goddard Space Flight Center(GSFC) brought together resources from NASA  to study tropical cyclones. The MAP '05 Project, so named for its affiliation with NASA's Modeling, Analysis, and Prediction (MAP) program, applies NASA's advanced satellite remote sensing technologies and earth system modeling capabilities to improve our understanding of tropical cyclones that develop in and move across the Atlantic basin.   MAP '05 implemented the most recent version of the NASA/Goddard Earth Observing System (GEOS) fifth-generation global atmospheric model and the Gridpoint Statistical Interpolation (GSI) analysis system under development as a collaboration between NOAA's National Centers for Environmental Prediction (NCEP)  and the Global Modeling and Assimilation Office (GMAO) at GSFC.  This animation displays MAP '05's wind analysis data for every 6 hour interval from August 23 through August 31, 2005. || ",
            "hits": 122
        },
        {
            "id": 3354,
            "url": "https://svs.gsfc.nasa.gov/3354/",
            "result_type": "Visualization",
            "release_date": "2006-05-31T00:00:00-04:00",
            "title": "27 Storms: Arlene to Zeta",
            "description": "Many records were broken during the 2005 Atlantic hurricane season including the most hurricanes ever, the most category 5 hurricanes, and the most intense hurricane ever recorded in the Atlantic as measured by atmospheric pressure. This visualization shows all 27 named storms that formed in the 2005 Atlantic hurricane season and examines some of the conditions that made hurricane formation so favorable.The animation begins by showing the regions of warm water that are favorable for storm development advancing northward through the peak of hurricane season and then receding as the waters cool. The thermal energy in these warm waters powers the hurricanes. Strong shearing winds in the troposphere can disrupt developing young storms, but measurements indicate that there was very little shearing wind activity in 2005 to impede storm formation.Sea surface temperatures, clouds, storm tracks, and hurricane category labels are shown as the hurricane season progresses.This visualization shows some of the actual data that NASA and NOAA satellites measured in 2005 — data used to predict the paths and intensities of hurricanes. Satellite data play a vital role in helping us understand the land, ocean, and atmosphere systems that have such dramatic effects on our lives.NOTE: This animation shows the named storms from the 2005 hurricane season. During a re-analysis of 2005, NOAA's Tropical Prediction Center/National Hurricane Center determined that a short-lived subtropcial storm developed near the Azores Islands in late September, increasing the 2005 tropical storm count from 27 to 28. This storm was not named and is not shown in this animation.'27 Storms: Arlene to Zeta' played in the SIGGRAPH 2007 Computer Animation Festival in August 2007. It was also a finalist in the 2006 NSF Science and Engineering Visualization Challenge. || ",
            "hits": 55
        },
        {
            "id": 3358,
            "url": "https://svs.gsfc.nasa.gov/3358/",
            "result_type": "Visualization",
            "release_date": "2006-05-30T00:00:00-04:00",
            "title": "Comparing the 1998-1999 La Niña event to the corresponding 2006 Sea Surface Temperature Anomaly Conditions",
            "description": "Are we seeing another La Niña event in 2006? This animation compares the winter 1998-1999 La Niña event to the corresponding 2006 conditions in the Pacific Ocean. This is done by comparing Sea Surface Temperature (SST) anomalies (i.e., differences from normal SST values) between 1999 and 2006. Blue areas indicate ocean regions 5 degrees Celsius (9 degrees Fahrenheit) cooler than the norm. During the 1998-1999 La Niña event this resulted in a distinct area of deep blue stretching across the Pacific Ocean. Through this comparison, one can see that our current ocean temperature conditions do not reflect those same conditions during the 1998-1999 La Niña event. || ",
            "hits": 35
        },
        {
            "id": 3277,
            "url": "https://svs.gsfc.nasa.gov/3277/",
            "result_type": "Visualization",
            "release_date": "2005-10-19T00:00:00-04:00",
            "title": "Seasonal Landcover Change over the Nile Delta in 2004",
            "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the Nile Delta. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ",
            "hits": 18
        },
        {
            "id": 3278,
            "url": "https://svs.gsfc.nasa.gov/3278/",
            "result_type": "Visualization",
            "release_date": "2005-10-12T00:00:00-04:00",
            "title": "Seasonal Landcover Change over Eastern Asia in 2004",
            "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the Eastern Asia. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ",
            "hits": 10
        },
        {
            "id": 3269,
            "url": "https://svs.gsfc.nasa.gov/3269/",
            "result_type": "Visualization",
            "release_date": "2005-10-11T12:00:00-04:00",
            "title": "Seasonal Landcover Change over Western Asia in 2004",
            "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the Westerm Asia. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ",
            "hits": 70
        },
        {
            "id": 3270,
            "url": "https://svs.gsfc.nasa.gov/3270/",
            "result_type": "Visualization",
            "release_date": "2005-10-11T12:00:00-04:00",
            "title": "Seasonal Landcover Change over the Alps",
            "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the European Alps. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ",
            "hits": 72
        },
        {
            "id": 3271,
            "url": "https://svs.gsfc.nasa.gov/3271/",
            "result_type": "Visualization",
            "release_date": "2005-10-11T12:00:00-04:00",
            "title": "Seasonal Landcover Change over the Eastern United States",
            "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the Eastern United States. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ",
            "hits": 73
        },
        {
            "id": 3182,
            "url": "https://svs.gsfc.nasa.gov/3182/",
            "result_type": "Visualization",
            "release_date": "2005-07-27T11:00:00-04:00",
            "title": "Global Atmospheric Sea Level Pressure during Hurricane Frances (WMS)",
            "description": "The weight of the Earth's atmosphere exerts pressure on the surface of the Earth.  This pressure varies from place-to-place due the variations in the Earth's surface since higher altitudes have less atmosphere above them than lower altitudes.  Atmospheric pressure also varies from time-to-time due to the uneven heating of the atmosphere by the sun and the rotation of the Earth, causing weather.  In order to see the changes in pressure which affect the weather, the variation due to altitude is removed from the surface pressure, creating a quantity called sea level pressure.  This animation shows the atmospheric sea level pressure for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean.  The sharp, moving low pressures areas for Frances and Songda can be clearly seen in the oceans.  Even with the direct effect of altitude removed, cold high-altitude regions such as the South Pole and the Himalayan Plateau still exhibit lower-than-normal pressures, probably due to the interaction of cold air over those regions with the warmer air in the surrounding regions. || ",
            "hits": 51
        },
        {
            "id": 3171,
            "url": "https://svs.gsfc.nasa.gov/3171/",
            "result_type": "Visualization",
            "release_date": "2005-06-01T12:00:00-04:00",
            "title": "Wind Anomalies During El Niño/La Niña Event of 1997-1998 (WMS)",
            "description": "The El Niño/La Niña event in 1997-1999 was particularly intense, but was also very well observed by satellites and buoys. Deviations from normal winds speeds and directions were computed using data from the Special Sensor Microwave/Imager (SSMI) on the Tropical Rainfall Measuring Mission (TRMM) satellite. || ",
            "hits": 54
        },
        {
            "id": 3152,
            "url": "https://svs.gsfc.nasa.gov/3152/",
            "result_type": "Visualization",
            "release_date": "2005-05-27T12:00:00-04:00",
            "title": "Urban Signatures: Temperature (WMS)",
            "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows average surface temperature predicted by the Land Information System (LIS) for a day in June 2001. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ",
            "hits": 38
        },
        {
            "id": 3154,
            "url": "https://svs.gsfc.nasa.gov/3154/",
            "result_type": "Visualization",
            "release_date": "2005-05-27T12:00:00-04:00",
            "title": "Urban Signatures: Evaporation (WMS)",
            "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows evaporation rates predicted by the Land Information System (LIS) for a day in June 2001. Evaporation is lower in the cities because water tends to run off pavement and into drains, rather than being absorbed by soil and plants from which it later evaporates. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ",
            "hits": 68
        },
        {
            "id": 3155,
            "url": "https://svs.gsfc.nasa.gov/3155/",
            "result_type": "Visualization",
            "release_date": "2005-05-27T12:00:00-04:00",
            "title": "Urban Signatures: Thermal Radiation (WMS)",
            "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows outgoing thermal radiation predicted by the Land Information System (LIS) for a day in June 2001. Cities are warmer, so they emit more longwave (infrared) radiation. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ",
            "hits": 47
        },
        {
            "id": 3156,
            "url": "https://svs.gsfc.nasa.gov/3156/",
            "result_type": "Visualization",
            "release_date": "2005-05-27T12:00:00-04:00",
            "title": "Urban Signatures: Latent Heat Flux (WMS)",
            "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows latent heat flux predicted by the Land Information System (LIS) for a day in June 2001. (Latent heat flux refers to the transfer of energy from the Earth's surface to the air above by evaporation of water on the surface; for a more detailed explanation see http://www.uwsp.edu/geo/faculty/ritter/geog101/textbook/energy/energy_balance.html). Latent heat flux is lower in the cities because there is less evaporation there. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ",
            "hits": 89
        },
        {
            "id": 3157,
            "url": "https://svs.gsfc.nasa.gov/3157/",
            "result_type": "Visualization",
            "release_date": "2005-05-27T12:00:00-04:00",
            "title": "Urban Signatures: Sensible Heat Flux (WMS)",
            "description": "Big cities influence the environment around them. For example, urban areas are typically warmer than their surroundings. Cities are strikingly visible in computer models that simulate the Earth's land surface. This visualization shows sensible heat flux predicted by the Land Information System (LIS) for a day in June 2001. (Sensible heat flux refers to transfer of heat from the earth's surface to the air above; for further explanation see http://www.uwsp.edu/geo/faculty/ritter/geog101/textbook/energy/energy_balance.html). Sensible heat flux is higher in the cities—that is, they transfer more heat to the atmosphere—because the surface there is warmer than in the surroundings. Only part of the global computation is shown, focusing on the highly urbanized northeast corridor in the United States, including the cities of Boston, New York, Philadelphia, Baltimore, and Washington. || ",
            "hits": 121
        },
        {
            "id": 3148,
            "url": "https://svs.gsfc.nasa.gov/3148/",
            "result_type": "Visualization",
            "release_date": "2005-04-26T12:00:00-04:00",
            "title": "Heavy Rainfall Leads to Southern California Mudslides (WMS)",
            "description": "In January 2005, heavy rains in southern California caused flooding and mudslides. A flow of moisture known as a 'Pineapple Express' because it originates in the Pacific subtropics near Hawaii can cause severe winter storms in California when conditions are right. NASA's Tropical Rainfall Measuring Mission (TRMM) observered heavy rainfall near San Diego during a five-day period in January 2005. This visualization shows accumulation of rainfall—each frame shows the total amount of rain since the start of the measurement period. || ",
            "hits": 7
        },
        {
            "id": 3146,
            "url": "https://svs.gsfc.nasa.gov/3146/",
            "result_type": "Visualization",
            "release_date": "2005-04-19T12:00:00-04:00",
            "title": "Rainfall Accumulation from Hurricane Isabel (WMS)",
            "description": "Hurricane Isabel generated large amounts of rain over the Atlantic ocean as it approached East coast of the United States in September 2003. In fact, unlike many hurricanes, most of the Isabel's rainfall did not occur over land; flooding on land was caused mainly by storm surge. This animation shows accumulation of rainfall from the hurricane—each frame shows the total amount of rain since the start of the measurement period. Rain from other sources has been masked out, so the hurricane track is clearly visible as the storm moves across the Atlantic. || ",
            "hits": 16
        },
        {
            "id": 3143,
            "url": "https://svs.gsfc.nasa.gov/3143/",
            "result_type": "Visualization",
            "release_date": "2005-04-14T12:00:00-04:00",
            "title": "Global Lightning Accumulation (WMS)",
            "description": "Lightning is a brief but intense electrical discharge between positive and negative regions of a thunderstorm. The Lightning Imaging Sensor (LIS) on the Tropical Rainfall Measuring Mission (TRMM) satellite was designed to study the distribution and variability of total lightning on a global basis. The Optical Transient Detector (OTD) was an earlier lightning detector flying aboard the Microlab-1 spacecraft. The data shown here are compiled from LIS (1998-2002) and OTD (1995-1999) observations. Because each satellite saw only a part of the Earth at any one time, these data use complex algorithms to estimate total flash rate based on the flashes observed and the amount of time the satellite views each area.NOTE: This animation is primarily designed to be used through the Web Mapping Services (WMS) protocol. Each frame in the animation actually represents an accumulation of a number of years of data up through a particular day of the year. Because of a limitation in the WMS protocol, each frame is marked only with a single date representing the last date for which the data was accumulated. || ",
            "hits": 34
        },
        {
            "id": 3144,
            "url": "https://svs.gsfc.nasa.gov/3144/",
            "result_type": "Visualization",
            "release_date": "2005-04-14T12:00:00-04:00",
            "title": "Global Lightning Flash Rate Density (WMS)",
            "description": "Lightning is a brief but intense electrical discharge between positive and negative regions of a thunderstorm.The Lightning Imaging Sensor (LIS) on the Tropical Rainfall Measuring Mission (TRMM) satellite was designed to study the distribution and variability of total lightning on a global basis. The Optical Transient Detector (OTD) was an earlier lightning detector flying aboard the Microlab-1 spacecraft. The data shown here are compiled from LIS (1998-2002) and OTD (1995-1999) observations. Because each satellite saw only a part of the Earth at any one time, these data use complex algorithms to estimate total flash rate density (number of flashes per square kilometer per year) based on the flashes observed and the amount of time the satellite views each area. || ",
            "hits": 312
        },
        {
            "id": 3142,
            "url": "https://svs.gsfc.nasa.gov/3142/",
            "result_type": "Visualization",
            "release_date": "2005-04-01T12:00:00-05:00",
            "title": "Sea Surface Height Anomalies during El Niño/La Niña Event of 1997-1998 (WMS)",
            "description": "The El Niño/La Niña event in 1997-1999 was particularly intense, but was also very well observed by satellites and buoys. Changes in the normal height of the ocean's surface were observed by the TOPEX/Poseidon altimeter. || ",
            "hits": 161
        },
        {
            "id": 3135,
            "url": "https://svs.gsfc.nasa.gov/3135/",
            "result_type": "Visualization",
            "release_date": "2005-03-31T12:00:00-05:00",
            "title": "Sea Surface Temperature Anomalies during El Niño/La Niña Event of 1997-1998 (WMS)",
            "description": "The El Niño/La Niña event in 1997-1999 was particularly intense, but was also very well observed by satellites and buoys. A strong upwelling of unusually warm water was observed in the Pacific Ocean during the El Niño phase, followed by unusually cold water in the La Niña phase. The Advanced Very High Resolution Radiometer (AVHRR) instrument on the US National Oceanic and Atmospheric Administration's NOAA-14 spacecraft observed the changes in sea surface temperature shown here. || ",
            "hits": 62
        },
        {
            "id": 3133,
            "url": "https://svs.gsfc.nasa.gov/3133/",
            "result_type": "Visualization",
            "release_date": "2005-03-15T12:00:00-05:00",
            "title": "Transatlantic Dust from North Africa (WMS)",
            "description": "Desert storms in northern Africa raise dust that is carried in the upper atmosphere across the Atlantic Ocean. The dust, which may carry potentially hazardous bacteria and fungi, can land as far west as the Caribbean and the Americas. || ",
            "hits": 20
        },
        {
            "id": 3130,
            "url": "https://svs.gsfc.nasa.gov/3130/",
            "result_type": "Visualization",
            "release_date": "2005-03-14T12:00:00-05:00",
            "title": "Continental Effects of 2004 Alaskan Fires (WMS)",
            "description": "Wildfires started by lightning burned more than 80,000 acres in Alaska in June 2004. The effects of these fires can be seen across North America with the Total Ozone Mapping Spectrometer (TOMS) instrument on the Earth Probe spacecraft. TOMS detects the presence of UV-absorbing tropospheric aerosols across the globe. || ",
            "hits": 9
        },
        {
            "id": 3132,
            "url": "https://svs.gsfc.nasa.gov/3132/",
            "result_type": "Visualization",
            "release_date": "2005-03-14T12:00:00-05:00",
            "title": "Aerosols from 2003 Southern California Fires (WMS)",
            "description": "A devastating series of fires occurred in Southern California during October 2003. The effects of these fires were detectable from space. The Total Ozone Mapping Spectrometer (TOMS) instrument measures aerosol particles (microscopic airborne dust and smoke). TOMS was able to detect aerosols from these fires moving West over the Pacific Ocean and East over the continental United States. || ",
            "hits": 9
        },
        {
            "id": 3126,
            "url": "https://svs.gsfc.nasa.gov/3126/",
            "result_type": "Visualization",
            "release_date": "2005-03-08T12:00:00-05:00",
            "title": "Daily Erythemal Index (UV exposure) for 2000-2001 (WMS)",
            "description": "The Erythemal Index is a measure of ultraviolet (UV) radiation at ground level on the Earth. (The word 'erythema' means an abnormal redness of the skin, such as is caused by spending too much time in the sun—a sunburn is damage to your skin cells caused by UV radiation.) Atmospheric ozone shields life at the surface from most of the harmful components of solar radiation. Chemical processes in the atmosphere can affect the level of protection provided by the ozone in the upper atmosphere. This thinning of the atmospheric ozone in the stratosphere leads to elevated levels of UV at ground level and increases the risks of DNA damage in living organisms. || ",
            "hits": 7
        },
        {
            "id": 3114,
            "url": "https://svs.gsfc.nasa.gov/3114/",
            "result_type": "Visualization",
            "release_date": "2005-03-07T12:00:00-05:00",
            "title": "Daily Erythemal Index (UV exposure) Measurements for 2000-2001 (WMS)",
            "description": "The Erythemal Index is a measure of ultraviolet (UV) radiation at ground level on the Earth. (The word 'erythema' means an abnormal redness of the skin, such as is caused by spending too much time in the sun—a sunburn is damage to your skin cells caused by UV radiation.) Atmospheric ozone shields life at the surface from most of the harmful components of solar radiation. Chemical processes in the atmosphere can affect the level of protection provided by the ozone in the upper atmosphere. This thinning of the atmospheric ozone in the stratosphere leads to elevated levels of UV at ground level and increases the risks of DNA damage in living organisms. || ",
            "hits": 66
        },
        {
            "id": 3124,
            "url": "https://svs.gsfc.nasa.gov/3124/",
            "result_type": "Visualization",
            "release_date": "2005-03-07T12:00:00-05:00",
            "title": "Monthly Average Erythemal Index (UV exposure) for 2000-2001 (WMS)",
            "description": "The Erythemal Index is a measure of ultraviolet (UV) radiation at ground level on the Earth. (The word 'erythema' means an abnormal redness of the skin, such as is caused by spending too much time in the sun—a sunburn is damage to your skin cells caused by UV radiation.) Atmospheric ozone shields life at the surface from most of the harmful components of solar radiation. Chemical processes in the atmosphere can affect the level of protection provided by the ozone in the upper atmosphere. This thinning of the atmospheric ozone in the stratosphere leads to elevated levels of UV at ground level and increases the risks of DNA damage in living organisms. || ",
            "hits": 27
        },
        {
            "id": 3110,
            "url": "https://svs.gsfc.nasa.gov/3110/",
            "result_type": "Visualization",
            "release_date": "2005-02-16T12:00:00-05:00",
            "title": "Vegetation Images Show Drought in Western US (WMS)",
            "description": "Satellite data can gauge the health of plants, which is a good indicator of drought. The Normalized Difference Vegetation Index (NDVI) measures how dense and green plant leaves are. NDVI images are useful as a measure of drought when compared to 'normal' plant health. Scientists calculate average NDVI values for an area to find out what is normal at a particular time of year. This animation uses satellite imagery to show changes in vegetation between 1999 and 2003. In 2002, drought had settled across the Midwest. Large dark brown sections of eastern Colorado show where vegetation was less lush and healthy than normal. This version of the visualization is a wide view showing the western United States. The data were measured by the vegetation instrument on Europe's SPOT-4 satellite, and were provided by DigitalGlobe/SPOT under agreement with the U.S. Department of Agriculture Foreign Agricultural Service (USDA/FAS). || ",
            "hits": 15
        },
        {
            "id": 3082,
            "url": "https://svs.gsfc.nasa.gov/3082/",
            "result_type": "Visualization",
            "release_date": "2005-01-27T12:00:00-05:00",
            "title": "Ozone from new Microwave Limb Sounder on Aura (WMS)",
            "description": "Ozone (O3) in the lower stratosphere and upper troposphere as measured by the Microwave Limb Sounder (MLS) instrument on NASA's Aura satellite. MLS can simultaneously measure several trace gases and ozone-destroying chemicals in the upper troposphere and photosphere. In this series of animations we present chlorine monoxide (ClO), hydrogen chloride (HCl), nitric acid (HNO3), ozone (O3), water vapor (H2O) and temperature measurements. These are 'first light' data taken when the MLS was operated for the first time. || ",
            "hits": 24
        },
        {
            "id": 3088,
            "url": "https://svs.gsfc.nasa.gov/3088/",
            "result_type": "Visualization",
            "release_date": "2005-01-27T12:00:00-05:00",
            "title": "Chlorine Monoxide from new Microwave Limb Sounder on Aura (WMS)",
            "description": "Chlorine monoxide (ClO) in the atmosphere as measured by the Microwave Limb Sounder (MLS) instrument on NASA's Aura satellite. MLS can simultaneously measure several trace gases and ozone-destroying chemicals in the upper troposphere and photosphere. In this series of animations we present chlorine monoxide (ClO), hydrogen chloride (HCl), nitric acid (HNO3), ozone (O3), water vapor (H2O) and temperature measurements. These are 'first light' data taken when the MLS was operated for the first time. ClO is a temporary byproduct of the chemical reaction sequence by which chlorine from chlorofluorocarbons (CFCs) destroys ozone. || ",
            "hits": 18
        },
        {
            "id": 3099,
            "url": "https://svs.gsfc.nasa.gov/3099/",
            "result_type": "Visualization",
            "release_date": "2005-01-27T12:00:00-05:00",
            "title": "Hydrogen Chloride from new Microwave Limb Sounder on Aura (WMS)",
            "description": "Hydrogen chloride (HCl) in the atmosphere as measured by the Microwave Limb Sounder (MLS) instrument on NASA's Aura satellite. MLS can simultaneously measure several trace gases and ozone-destroying chemicals in the upper troposphere and photosphere. In this series of animations we present chlorine monoxide (ClO), hydrogen chloride (HCl), nitric acid (HNO3), ozone (O3), water vapor (H2O) and temperature measurements. These are 'first light' data taken when the MLS was operated for the first time. Ozone-destroying chlorine (Cl) atoms are neutralized when they bond with hydrogen (H) to form HCl. || ",
            "hits": 14
        },
        {
            "id": 3100,
            "url": "https://svs.gsfc.nasa.gov/3100/",
            "result_type": "Visualization",
            "release_date": "2005-01-27T12:00:00-05:00",
            "title": "Nitric acid from new Microwave Limb Sounder on Aura (WMS)",
            "description": "Nitric Acid (HNO3) in the atmosphere as measured by the Microwave Limb Sounder (MLS) instrument on NASA's Aura satellite. MLS can simultaneously measure several trace gases and ozone-destroying chemicals in the upper troposphere and photosphere. In this series of animations we present chlorine monoxide (ClO), hydrogen chloride (HCl), nitric acid (HNO3), ozone (O3), water vapor (H2O) and temperature measurements. These are 'first light' data taken when the MLS was operated for the first time. Nitric acid is created from the nitrogen oxide emitted by automobiles. || ",
            "hits": 89
        },
        {
            "id": 3101,
            "url": "https://svs.gsfc.nasa.gov/3101/",
            "result_type": "Visualization",
            "release_date": "2005-01-27T12:00:00-05:00",
            "title": "Water vapor from new Microwave Limb Sounder on Aura (WMS)",
            "description": "Water vapor (H2O) in the atmosphere as measured by the Microwave Limb Sounder (MLS) instrument on NASA's Aura satellite. MLS can simultaneously measure several trace gases and ozone-destroying chemicals in the upper troposphere and photosphere. In this series of animations we present chlorine monoxide (ClO), hydrogen chloride (HCl), nitric acid (HNO3), ozone (O3), water vapor (H2O) and temperature measurements. These are 'first light' data taken when the MLS was operated for the first time. || ",
            "hits": 83
        },
        {
            "id": 3102,
            "url": "https://svs.gsfc.nasa.gov/3102/",
            "result_type": "Visualization",
            "release_date": "2005-01-27T12:00:00-05:00",
            "title": "Temperature from new Microwave Limb Sounder on Aura (WMS)",
            "description": "This animation shows temperature in the atmosphere from August 13 through October 15, 2004. Red represents higher temperatures; blue represents lower temperatures. The spatial resolution is low: each pixel covers an area of 5 degrees longitude by 2 degrees latitude, so the entire world (except for 1 degree at each pole) is covered by the 72x89 pixel images.This product is available through our Web Map Service. || temp-movie.gif (72x89) [227.1 KB] || temp.png (80x40) [5.0 KB] || temp.jpg (320x396) [8.3 KB] || gal.png (160x80) [16.1 KB] || temp_searchweb.jpg (320x180) [56.3 KB] || temp.2004.0034.png (72x89) [4.4 KB] || temp-movie.webmhd.webm (960x540) [36.2 KB] || 72x89 (72x89) [4.0 KB] || temp-movie.m1v (72x88) [119.4 KB] || ",
            "hits": 124
        },
        {
            "id": 3081,
            "url": "https://svs.gsfc.nasa.gov/3081/",
            "result_type": "Visualization",
            "release_date": "2005-01-11T12:00:00-05:00",
            "title": "Giant Iceberg in McMurdo Sound (WMS)",
            "description": "Iceberg B-15A, in Antarctica's McMurdo Sound, is as large as Long Island, NY (3,000 square kilometers or 1,200 square miles) and is the largest fragment of a much larger iceberg that broke away from the Ross Ice Shelf in March 2000. Iceberg B-15A has trapped sea ice in McMurdo Sound, and the ice build-up presents significant problems for Antarctic penguins, which must now swim great distances to reach open waters and food. These images were taken by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on NASA's Aqua and Terra satellites between 2004-11-09 and 2005-01-17. || ",
            "hits": 11
        }
    ]
}