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        {
            "id": 13515,
            "url": "https://svs.gsfc.nasa.gov/13515/",
            "result_type": "Produced Video",
            "release_date": "2020-01-07T10:00:00-05:00",
            "title": "NASA's Five Newest Earth Expeditions Ready for Takeoff",
            "description": "NASA is sending five airborne campaigns across the United States in 2020 to investigate fundamental processes that ultimately impact human lives and the environment, from snowstorms along the East Coast to ocean eddies off the coast of San Francisco. || ",
            "hits": 52
        },
        {
            "id": 13348,
            "url": "https://svs.gsfc.nasa.gov/13348/",
            "result_type": "Produced Video",
            "release_date": "2019-10-17T09:00:00-04:00",
            "title": "NASA’s New View of the Daily Cycle of Rain",
            "description": "The most detailed view of our daily weather has been created using NASA's newest extended precipitation record known as the Integrated Multi-satellitE Retrievals for GPM, or IMERG analysis.The IMERG analysis combines almost 20 years of rain and snow data from the Tropical Rainfall Measuring Mission (TRMM) and the joint NASA-JAXA Global Precipitation Measurement mission (GPM).The daily cycle of weather, also known as the diurnal cycle, shapes how and when our weather develops and is fundamental to regulating our climate. || ",
            "hits": 46
        },
        {
            "id": 13212,
            "url": "https://svs.gsfc.nasa.gov/13212/",
            "result_type": "Produced Video",
            "release_date": "2019-05-22T00:00:00-04:00",
            "title": "NASA Science Live: Storms Across the Solar System (Episode 04)",
            "description": "NASA Science Live: Storms Across the Solar SystemProgram Aired May 22, 2019 || 13212_NSL_Ep4_youtube_720.00001_print.jpg (1024x576) [83.3 KB] || 13212_NSL_Ep4_youtube_720.00001_searchweb.png (320x180) [81.7 KB] || 13212_NSL_Ep4_youtube_720.00001_thm.png (80x40) [5.7 KB] || 13212_NSL_Ep4_lowres.mp4 (1280x720) [551.2 MB] || 13212_NSL_Ep4_youtube_720.mp4 (1280x720) [3.1 GB] || 13212_NSL_Ep4.mov (1280x720) [19.4 GB] || 13212_NSL_Ep4.webm (960x540) [824.7 MB] || 13212_NSL_Ep4.mov.en_US.srt [69.0 KB] || 13212_NSL_Ep4.mov.en_US.vtt [65.1 KB] || ",
            "hits": 19
        },
        {
            "id": 12793,
            "url": "https://svs.gsfc.nasa.gov/12793/",
            "result_type": "Produced Video",
            "release_date": "2017-12-01T00:00:00-05:00",
            "title": "NASA Looks Inside the Most Powerful Storms of 2017",
            "description": "Facebook Live Event - NASA Looks Inside the Most Powerful Storms of 2017Link to live broadcast on Facebook || 12793_Storms_of_2017_FB_Live.00001_print.jpg (1024x576) [139.2 KB] || 12793_Storms_of_2017_FB_Live.00001_searchweb.png (320x180) [92.4 KB] || 12793_Storms_of_2017_FB_Live.00001_thm.png (80x40) [6.8 KB] || 12793_Storms_of_2017_FB_Live.mov (1280x720) [32.8 GB] || 12793_Storms_of_2017_FB_Live.mp4 (1280x720) [3.9 GB] || 12793_Storms_of_2017_FB_Live.webm (960x540) [1.3 GB] || 12793_Storms_of_2017_FB_Live.en_US.srt [106.6 KB] || 12793_Storms_of_2017_FB_Live.en_US.vtt [100.6 KB] || ",
            "hits": 27
        },
        {
            "id": 12738,
            "url": "https://svs.gsfc.nasa.gov/12738/",
            "result_type": "Produced Video",
            "release_date": "2017-10-04T10:00:00-04:00",
            "title": "Intense String of Hurricanes Seen From Space",
            "description": "In 2017, we have seen four Atlantic storms rapidly intensify with three of those storms - Hurricane Harvey, Irma and Maria - making landfall. When hurricanes intensify a large amount in a short period, scientists call this process rapid intensification. This is the hardest aspect of a storm to forecast and it can be most critical to people’s lives.While any hurricane can threaten lives and cause damage with storm surges, floods, and extreme winds, a rapidly intensifying hurricane can greatly increase these risks while giving populations limited time to prepare and evacuate. || ",
            "hits": 86
        },
        {
            "id": 4429,
            "url": "https://svs.gsfc.nasa.gov/4429/",
            "result_type": "Visualization",
            "release_date": "2016-11-22T17:00:00-05:00",
            "title": "Massive Lightning Storm Lights up Northern Alabama",
            "description": "Animation showing a massive lightning storm form over Northern Alabama on September 2, 2012. Although the data shown here is based on real observations, the cloud cover data was only available for a very limited window of time as an experiment using the GOES-14 satellite. The cloud data comes from ground-based sensors. This animation is a proof-of-concept showing the kind of data that will be gathered by GOES-R on a regular basis. || lightning_comp.0499_print.jpg (1024x576) [148.4 KB] || background.4k.png (3840x2160) [7.7 MB] || lightning_comp.0499_searchweb.png (320x180) [103.2 KB] || lightning_comp.0499_thm.png (80x40) [6.9 KB] || lightning_comp_1080p30.mp4 (1920x1080) [14.7 MB] || sample_composite (1920x1080) [0 Item(s)] || lightning_comp_1080p30.webm (1920x1080) [1.8 MB] || date_layer (3840x2160) [0 Item(s)] || cloud_layer (3840x2160) [0 Item(s)] || lightning_layer (3840x2160) [0 Item(s)] || lightning_comp_1080p30.mp4.hwshow [188 bytes] || ",
            "hits": 21
        },
        {
            "id": 4266,
            "url": "https://svs.gsfc.nasa.gov/4266/",
            "result_type": "Visualization",
            "release_date": "2015-01-28T00:00:00-05:00",
            "title": "GPM Sees 2015 Nor'easter Dump Snow on New England",
            "description": "Animation of the Nor'easter as it develops and moves east of the New England coast and then stops on January 26 at 5:06pm EST while GPM takes a snapshot of the storm. Slicing through the volumetric precipitation data shows the low lying nature of this storm as well as the intense precipitation amounts at it's center. The massive potentional for precipitation can be seen in the underlying GMI ground precipitation data. Had the center of the storm parked over New England, it could have generated massive amounts of snowfall. Luckily, it quickly moved out over the warmer ocean water and only the outer bands affected New England, still generating considerable snowfall, but not the historical totals that had been anticipated. || juno1080p.0300_print.jpg (1024x576) [166.7 KB] || juno720p.webm (1280x720) [5.1 MB] || juno1080p.mp4 (1920x1080) [21.3 MB] || juno720p.mp4 (1280x720) [11.2 MB] || 1920x1080_16x9_30p (1920x1080) [64.0 KB] || juno1080p_4266.pptx [23.0 MB] || juno1080p_4266.key [25.6 MB] || juno1080p.mp4.hwshow [190 bytes] || ",
            "hits": 34
        },
        {
            "id": 4248,
            "url": "https://svs.gsfc.nasa.gov/4248/",
            "result_type": "Visualization",
            "release_date": "2014-12-09T17:00:00-05:00",
            "title": "GPM Dissects Typhoon Hagupit",
            "description": "Animation revealing a swath of GPM/GMI precipitation rates over Typhoon Hagupit. As the camera moves in on the storm, DPR's volumetric view of the storm is revealed. A slicing plane moves across the volume to display precipitation rates throughout the storm. Shades of green to red represent liquid precipitation extending down to the ground.This video is also available on our YouTube channel. || Hagupit_1080p_01.0396_print.jpg (1024x576) [146.6 KB] || Hagupit_1080p_01.0396_searchweb.png (320x180) [80.3 KB] || Hagupit_1080p_01.0396_thm.png (80x40) [6.7 KB] || Hagupit_1080p_01.0396_web.png (320x180) [80.3 KB] || Hagupit_1080p_01_1080.mp4 (1920x1080) [39.7 MB] || Hagupit_720p_01_720.mp4 (1280x720) [10.1 MB] || Hagupit_540p_30.mp4 (960x540) [6.9 MB] || 1920x1080_16x9_30p (1920x1080) [128.0 KB] || Hagupit_colorbar_1080p_p30.mp4 (1920x1080) [40.6 MB] || Hagupit_colorbar_1080p_p30.webm (1920x1080) [4.1 MB] || Hagupit_1080p_01_1080.mp4.hwshow [214 bytes] || ",
            "hits": 49
        },
        {
            "id": 4230,
            "url": "https://svs.gsfc.nasa.gov/4230/",
            "result_type": "Visualization",
            "release_date": "2014-10-16T00:00:00-04:00",
            "title": "GPM Explores Hurricane Gonzalo",
            "description": "Animation revealing a swath of GPM/GMI precipitation rates over Hurricane Gonzalo. As the camera moves in on the storm, DPR's volumetric view of the storm is revealed. A slicing plane moves across the volume to display precipitation rates throughout the storm. Shades of green to red represent liquid precipitation extending down to the ground. || Gonzalo.0340_print.jpg (1024x576) [105.8 KB] || 1920x1080_16x9_30p (1920x1080) [64.0 KB] || Gonzalo_720.webmhd.webm (960x540) [7.5 MB] || Gonzalo_720.mp4 (1280x720) [7.2 MB] || Gonzalo_1080.mp4 (1920x1080) [13.0 MB] || Gonzalo_360.mp4 (640x360) [2.9 MB] || ",
            "hits": 25
        },
        {
            "id": 4229,
            "url": "https://svs.gsfc.nasa.gov/4229/",
            "result_type": "Visualization",
            "release_date": "2014-10-14T12:00:00-04:00",
            "title": "GPM Explores Typhoon Vongfong",
            "description": "Animation revealing a swath of GPM/GMI precipitation rates over Typhoon Vongfong.  As the camera moves in on the storm, DPR's volumetric view of the storm is revealed.  A slicing plane moves across the volume to display precipitation rates throughout the storm. Shades of green to red represent liquid precipitation extending down to the ground. This video is also available on our YouTube channel. || vongfong_720p.0690_print.jpg (1024x576) [146.8 KB] || 1920x1080_16x9_30p (1920x1080) [64.0 KB] || 1280x720_16x9_30p (1280x720) [64.0 KB] || vongfong_1080p.mp4 (1920x1080) [19.2 MB] || vongfong_720p.mp4 (1280x720) [10.5 MB] || Vongfong_colorbar_1080p_p30.mp4 (1920x1080) [44.1 MB] || Vongfong_colorbar_1080p_p30.webm (1920x1080) [3.1 MB] || vongfong_640x360.mp4 (640x360) [4.2 MB] || vongfong_1080p.mp4.hwshow [200 bytes] || ",
            "hits": 20
        },
        {
            "id": 4224,
            "url": "https://svs.gsfc.nasa.gov/4224/",
            "result_type": "Visualization",
            "release_date": "2014-10-07T16:00:00-04:00",
            "title": "GPM Scans Typhoon Phanfone",
            "description": "Animation revealing a swath of GPM/GMI precipitation rates over Typhoon Phanfone. The camera then moves down closer to the storm to reveal DPR's volumetric view of Phanphone. A slicing plane dissects the Typhoon from south to north and back again, revealing it's inner precipitation rates. Shades of blue indicate frozen precipitation (in the upper atmosphere). Shades of green to red are liquid precipitation which extend down to the ground. || phanfone1080p.0380_print.jpg (1024x576) [116.5 KB] || phanfone1080p.0380_searchweb.png (320x180) [74.4 KB] || phanfone1080p.0380_web.png (320x180) [74.4 KB] || phanfone1080p.0380_thm.png (80x40) [6.6 KB] || phanfone1080p.mp4 (1920x1080) [12.5 MB] || phanfone720p.mp4 (1280x720) [7.1 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || phanfone1080p.webm (960x540) [4.4 MB] || phanfone360p.mp4 (640x360) [2.8 MB] || ",
            "hits": 26
        },
        {
            "id": 4213,
            "url": "https://svs.gsfc.nasa.gov/4213/",
            "result_type": "Visualization",
            "release_date": "2014-09-17T15:00:00-04:00",
            "title": "GPM captures Hurricane Odile",
            "description": "On September 15, 2014 (15:11 UTC) the Global Precipitation Measurement (GPM) mission's Core Observatory flew over Hurricane Odile as it made landfall on the Baja peninsula. At this point, Hurricane Odile is category 2 with maximum sustained winds at 98 miles per hour (mph) and gusts reaching 121 mph. Odile caused major damage to several Mexican beach resorts including Cabo San Lucas, and has the potential to cause flash flooding as far as Phoenix, Arizona.The GPM Core Observatory carries two instruments that show the location and intensity of rain and snow, which defines a crucial part of the storm structure – and how it will behave. The GPM Microwave Imager sees through the tops of clouds to observe how much and where precipitation occurs, and the Dual-frequency Precipitation Radar observes precise details of precipitation in 3-dimensions.For forecasters, GPM's microwave and radar data are part of the toolbox of satellite data, including other low Earth orbit and geostationary satellites, that they use to monitor tropical cyclones and hurricanes. The addition of GPM data to the current suite of satellite data is timely. Its predecessor precipitation satellite, the Tropical Rainfall Measuring Mission, is 18 years into what was originally a three-year mission. GPM's new high-resolution microwave imager data and the unique radar data ensure that forecasters and modelers won't have a gap in coverage. GPM is a joint mission between NASA and the Japan Aerospace Exploration Agency. All GPM data products can be found at  NASA Goddard's Precipitation Processing Center website. || ",
            "hits": 21
        },
        {
            "id": 4173,
            "url": "https://svs.gsfc.nasa.gov/4173/",
            "result_type": "Visualization",
            "release_date": "2014-09-04T00:00:00-04:00",
            "title": "GPM Examines East Coast Snow Storm",
            "description": "On March 17, 2014 the Global Precipitation Measurement (GPM) mission's Core Observatory flew over the East coast's last snow storm of the 2013-2014 winter season. This was also one of the first major snow storms observed by GPM shortly after it was launched on February 27, 2014.The GPM Core Observatory carries two instruments that show the location and intensity of rain and snow, which defines a crucial part of the storm structure – and how it will behave. The GPM Microwave Imager sees through the tops of clouds to observe how much and where precipitation occurs, and the Dual-frequency Precipitation Radar observes precise details of precipitation in 3-dimensions.For forecasters, GPM's microwave and radar data are part of the toolbox of satellite data, including other low Earth orbit and geostationary satellites, that they use to monitor tropical cyclones and hurricanes. The addition of GPM data to the current suite of satellite data is timely. Its predecessor precipitation satellite, the Tropical Rainfall Measuring Mission, is 18 years into what was originally a three-year mission. GPM's new high-resolution microwave imager data and the unique radar data ensure that forecasters and modelers won't have a gap in coverage. GPM is a joint mission between NASA and the Japan Aerospace Exploration Agency. All GPM data products will be released to the public on September 4, 2104. Current and future data sets are available to registered users from  NASA Goddard's Precipitation Processing Center website. || ",
            "hits": 29
        },
        {
            "id": 4203,
            "url": "https://svs.gsfc.nasa.gov/4203/",
            "result_type": "Visualization",
            "release_date": "2014-09-04T00:00:00-04:00",
            "title": "GPM Constellation",
            "description": "The Global Precipitation Measurement (GPM) mission unites data from ten U.S. and international satellites that measure rainfall and snowfall. The partnership, co-led by NASA and the Japan Aerospace Exploration Agency, is anchored by the GPM Core Observatory, launched on February 27, 2014. Carrying two advanced precipitation instruments, the GPM Microwave Imager and Dual-frequency Precipitation Radar, the Core Observatory measures the full range of precipitation types from heavy rainfall to, for the first time, light rain and snowfall. With an orbit that cuts across the path of the other satellites it is also used as a reference standard so that data from all the partner satellites can be meaningfully compared. The combined data from all ten satellites allows scientists to collect precipitation data from all parts of the world in under three hours. || ",
            "hits": 34
        },
        {
            "id": 10936,
            "url": "https://svs.gsfc.nasa.gov/10936/",
            "result_type": "Produced Video",
            "release_date": "2014-05-29T09:55:00-04:00",
            "title": "GOES-R Series Resource Reel",
            "description": "The new generation GOES-R satellites will carry significant improvements and technology innovation on board. GOES-R will be able to deliver a full globe scan in only 5 minutes, compared to the 25 minutes needed for the same task with the current GOES satellites. GOES-R's lightning mapper instrument is expected to improve warning lead time for severe storms and tornadoes by 50%. This without a doubt will help predict severe weather in advance and save more lives. This reel is a compilation of finished productions about the GOES-R mission as well as supporting materials such as animations, visualizations, and still images. || ",
            "hits": 75
        },
        {
            "id": 4163,
            "url": "https://svs.gsfc.nasa.gov/4163/",
            "result_type": "Visualization",
            "release_date": "2014-05-29T00:00:00-04:00",
            "title": "GPM Senses East Coast Snow Storm on March 17th, 2014",
            "description": "The Global Precipitation Measurement (GPM) Mission is a joint satellite mission between NASA and JAXA. GPM has the capability of differentiating between liquid and frozen precipitation. In this visualization we see a large east coast snow storm through the eyes of GPM. || ",
            "hits": 30
        },
        {
            "id": 4153,
            "url": "https://svs.gsfc.nasa.gov/4153/",
            "result_type": "Visualization",
            "release_date": "2014-03-25T01:00:00-04:00",
            "title": "GPM/GMI First Light",
            "description": "Eleven days after the Feb. 27 launch of the Global Precipitation Measurement (GPM) Core Observatory, the two instruments aboard took their first joint images of an interesting precipitation event. On March 10, the Core Observatory passed over an extra-tropical cyclone about 1055 miles (1700 kilometers) due east of Japan's Honshu Island. The storm formed from the collision of a cold front wrapping around a warm front, emerging over the ocean near Okinawa on March 8. It moved northeast over the ocean south of Japan, drawing cold air west-to-east over the land, a typical winter weather pattern that also brought heavy snow over Hokkaido, the northernmost of the four main islands. After the GPM images were taken, the storm continued to move eastward, slowly intensifying before weakening in the central North Pacific.This visualization shows data from the GPM Microwave Imager, which observes different types of precipitation with 13 channels. Scientists analyze that data and then use it to calculate the light to heavy rain rates and falling snow within the storm.For more information on this topic:     GPM web siteOther multimedia items related to this story:     GPM GMI First Light (#11508)     GPM DPR First Light (#11509) || ",
            "hits": 44
        },
        {
            "id": 11054,
            "url": "https://svs.gsfc.nasa.gov/11054/",
            "result_type": "Produced Video",
            "release_date": "2012-08-02T12:00:00-04:00",
            "title": "Earth's Water Cycle",
            "description": "Water is the fundamental ingredient for life on Earth. Looking at our Earth from space, with its vast and deep ocean, it appears as though there is an abundance of water for our use. However, only a small portion of Earth's water is accessible for our needs. How much fresh water exists and where it is stored affects us all. This animation uses Earth science data from a variety of sensors on NASA Earth observing satellites as well as cartoons to describe Earth's water cycle and the continuous movement of water on, above and below the surface of the Earth. Sensors on a suite of NASA satellites observe and measure water on land, in the ocean and in the atmosphere. These measurements are important to understanding the availability and distribution of Earth's water — vital to life and vulnerable to the impacts of climate change on a growing world population.NASA Earth Observing System Data and Information Systems (EOSDIS) EOSDIS is a distributed system of twelve data centers and science investigator processing systems. EOSDIS processes, archives, and distributes data from Earth observing satellites, field campaigns, airborne sensors, and related Earth science programs. These data enable the study of Earth from space to advance scientific understanding.For questions, please contact eosdis-outreach@lists.nasa.gov || ",
            "hits": 156
        },
        {
            "id": 10586,
            "url": "https://svs.gsfc.nasa.gov/10586/",
            "result_type": "Produced Video",
            "release_date": "2010-03-19T08:00:00-04:00",
            "title": "GOES Weather with Topper Shutt",
            "description": "On March 4th, 2010, NASA launched GOES-P (later re-named GOES-15), the last satellite in the N-O-P series. With GOES-P now in orbit ensuring GOES weather observations for years to come, the NASA and NOAA team will turn their attention to the next generation GOES-R series, satellites that will provide images with even greater resolution and speed of data delivery. || ",
            "hits": 25
        },
        {
            "id": 10581,
            "url": "https://svs.gsfc.nasa.gov/10581/",
            "result_type": "Produced Video",
            "release_date": "2010-03-03T00:00:00-05:00",
            "title": "GOES-P Readied For Launch",
            "description": "GOES-P is the last in the GOES N-O-P series of weather satellites and it will provide continuity of service for real-time weather prediction on Earth as well as space weather events  and search and rescue efforts. || ",
            "hits": 26
        },
        {
            "id": 10575,
            "url": "https://svs.gsfc.nasa.gov/10575/",
            "result_type": "Produced Video",
            "release_date": "2010-02-22T00:00:00-05:00",
            "title": "GOES-P: Mission Overview Video",
            "description": "GOES-P is set to launch in 2010. It will be the last in an improved series of satellites that has helped forecast the development of severe weather for 35 years. Operated by NOAA and launched by NASA, GOES-P will continue providing critical data used for real-time weather prediction on Earth as well as space weather events, and search and rescue efforts. || ",
            "hits": 31
        },
        {
            "id": 3520,
            "url": "https://svs.gsfc.nasa.gov/3520/",
            "result_type": "Visualization",
            "release_date": "2009-09-21T00:00:00-04:00",
            "title": "Flow Field Representation of Jupiter's Great Red Spot",
            "description": "This visualization shows a simple simulated flow field representation of Jupiter's Great Red Spot. The flow field is static (i.e., the wind directions don't change over time). This visualization was created in support of the Science On a Sphere film called \"Largest\" which is about Jupiter. These frames were rendered \"flat\" and are intended to be duplicated several times around the sphere. || ",
            "hits": 51
        },
        {
            "id": 3611,
            "url": "https://svs.gsfc.nasa.gov/3611/",
            "result_type": "Visualization",
            "release_date": "2009-09-21T00:00:00-04:00",
            "title": "Jupiter Cloud Sequence from Voyager 1",
            "description": "When the Voyager 1 mission flew by the planet Jupiter in March of 1979, a sequence of full disk images were taken of the planet. Assembled with proper spatial and temporal registration, the sequence could produce fourteen distinct images suitable for wrapping around a sphere.But the time steps between images were large and exhibited significant jumping and data gaps. The solution was to create additional images between the existing set by interpolation. But simple interpolation would not work due to significant changes between the images.To solve this, we interpolated between the images using the velocity vector field of the cloud images. The velocity vector field was computed by performing a 2-dimensional cross-correlation (Wikipedia: Cross-correlation) between the images. This velocity field was checked against Jupiter velocity profiles from the scientific literature and agreement was excellent. With the addition of a simple vortex flow at the location of the Great Red Spot, the interpolation process was used to generate intermediate images, increasing the total number of images from 14 to 220 and resulting in a smoother animation.IMPORTANT NOTE: These images are for visualization purposes only. They are not suitable for scientific analysis. || ",
            "hits": 91
        },
        {
            "id": 3614,
            "url": "https://svs.gsfc.nasa.gov/3614/",
            "result_type": "Visualization",
            "release_date": "2009-09-21T00:00:00-04:00",
            "title": "Jupiter Cloud Sequence from Voyager 2",
            "description": "When the Voyager 2 mission flew by the planet Jupiter in July of 1979, a sequence of full disk images were taken of the planet. Assembled with proper spatial and temporal registration, the sequence could produce fourteen distinct images suitable for wrapping around a sphere.But the time steps between images were large and exhibited significant jumping and data gaps. The solution was to create additional images between the existing set by interpolation. But simple interpolation would not work due to significant changes between the images.To solve this, we interpolated between the images using the velocity vector field of the cloud images. The velocity vector field was computed by performing a 2-dimensional cross-correlation (Wikipedia: Cross-correlation) between the images. This velocity field was checked against Jupiter velocity profiles from the scientific literature and agreement was excellent. With the addition of a simple vortex flow at the location of the Great Red Spot, the interpolation process was used to generate intermediate images, increasing the total number of images from 14 to 220 and resulting in a smoother animation.IMPORTANT NOTE: These images are for visualization purposes only. They are not suitable for scientific analysis. || ",
            "hits": 44
        },
        {
            "id": 10448,
            "url": "https://svs.gsfc.nasa.gov/10448/",
            "result_type": "Produced Video",
            "release_date": "2009-07-09T00:00:00-04:00",
            "title": "GOES-O: Days Before Launch",
            "description": "In this video, two days prior to the GOES-O launch, NASA Goddard Producer Silvia Stoyanova visits Cape Canaveral's Air Force Station, launch pad 37, to talk to GOES N-P Program Manager Charlie Maloney and Boeing Systems Engineer Pat Jasanis about the importance of the GOES-O mission as well as the launch vehicle, and some behind the scenes activities prior to launch.For complete transcript, click here. || GOES-O_DaysBeforeLaunch_svs.00952_print.jpg (1024x576) [106.2 KB] || GOES-O_DaysBeforeLaunch_svs_web.png (320x180) [271.6 KB] || GOES-O_DaysBeforeLaunch_svs_thm.png (80x40) [17.8 KB] || GOES-O_DaysBeforeLaunch_appletv.webmhd.webm (960x540) [49.7 MB] || GOES-O_DaysBeforeLaunch_fullres.mov (1280x720) [125.1 MB] || GOES-O_DaysBeforeLaunch_appletv.m4v (960x540) [83.9 MB] || GOES-O_DaysBeforeLaunch_ipod.m4v (640x360) [38.6 MB] || GOES-O_DaysBeforeLaunch_podcast.mp4 (320x240) [13.3 MB] || GOES-O_DaysBeforeLaunch_svs.mpg (512x288) [31.8 MB] || GOES-O_DaysBeforeLaunch_portal.wmv (346x260) [38.8 MB] || ",
            "hits": 32
        },
        {
            "id": 10449,
            "url": "https://svs.gsfc.nasa.gov/10449/",
            "result_type": "Produced Video",
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        {
            "id": 2920,
            "url": "https://svs.gsfc.nasa.gov/2920/",
            "result_type": "Visualization",
            "release_date": "2004-03-11T12:00:00-05:00",
            "title": "Tropical Storm Allison Progression (WMS)",
            "description": "Tropical Storm Allison began just five days into the 2001 hurricane season.  Allison formed in the warm waters of the Gulf of Mexico, and dumped an enormous amount of rain on Texas, Louisiana, Florida, and other states in the southeastern United States. || ",
            "hits": 28
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}