{ "count": 15, "next": null, "previous": null, "results": [ { "id": 14234, "url": "https://svs.gsfc.nasa.gov/14234/", "result_type": "Produced Video", "release_date": "2022-11-04T12:00:00-04:00", "title": "Weather Forecasting for JPSS-2 Launch", "description": "Complete transcript available. || NASA_JPSS-2_WeatherForecasting_final.04076_print.jpg (1024x576) [88.8 KB] || NASA_JPSS-2_WeatherForecasting_final.04076_searchweb.png (320x180) [65.5 KB] || NASA_JPSS-2_WeatherForecasting_final.04076_thm.png (80x40) [5.7 KB] || NASA_JPSS-2_WeatherForecasting_final.mp4 (1920x1080) [505.3 MB] || NASA_JPSS-2_WeatherForecasting_final.webm (1920x1080) [34.4 MB] || NASA_JPSS-2_WeatherForecasting_final.en_US.srt [7.3 KB] || NASA_JPSS-2_WeatherForecasting_final.en_US.vtt [6.9 KB] || ", "hits": 29 }, { "id": 13685, "url": "https://svs.gsfc.nasa.gov/13685/", "result_type": "Produced Video", "release_date": "2020-08-12T11:00:00-04:00", "title": "5 Things that Changed Weather Forecasting Forever", "description": "Complete transcript available.Watch this video on the NASA Goddard YouTube Channel || Weather_forecasting_history_FINAL_smallest.00180_print.jpg (1024x576) [114.4 KB] || Weather_forecasting_history_FINAL_smallest.00180_searchweb.png (320x180) [43.1 KB] || Weather_forecasting_history_FINAL_smallest.00180_web.png (320x180) [43.1 KB] || Weather_forecasting_history_FINAL_smallest.00180_thm.png (80x40) [3.0 KB] || Weather_forecasting_history_FINAL_smallest.mp4 (1920x1080) [653.6 MB] || Weather_forecasting_history_FINAL_smaller.mp4 (1920x1080) [1.1 GB] || Weather_forecasting_history_FINAL_smallest.webm (1920x1080) [123.4 MB] || Weather_forecasting_history_FINAL.mp4 (3840x2160) [1.2 GB] || Weather_forecasting_final.en_US.vtt [22.5 KB] || Weather_forecasting_final_corrected.en_US.srt [21.7 KB] || Weather_forecasting_final_corrected.en_US.vtt [21.6 KB] || ", "hits": 43 }, { "id": 12957, "url": "https://svs.gsfc.nasa.gov/12957/", "result_type": "Produced Video", "release_date": "2018-05-15T10:00:00-04:00", "title": "During a Year in Orbit, IceCube Created a New Map of Earth's Clouds", "description": "Music: Charming Noise by Adrien Sahuc [SACEM], Benjamin Sahuc [SACEM]Complete transcript available. || Screen_Shot_2018-05-14_at_5.20.10_PM.png (1536x858) [868.8 KB] || Screen_Shot_2018-05-14_at_5.20.10_PM_print.jpg (1024x572) [51.8 KB] || Screen_Shot_2018-05-14_at_5.20.10_PM_searchweb.png (320x180) [39.5 KB] || Screen_Shot_2018-05-14_at_5.20.10_PM_thm.png (80x40) [3.9 KB] || 12957_IceCube.webm (960x540) [31.6 MB] || 12957_IceCube_large.mp4 (1920x1080) [80.1 MB] || 12957_IceCube.en_US.srt [1.2 KB] || 12957_IceCube.en_US.vtt [1.2 KB] || YOUTUBE_1080_12957_IceCube_youtube_1080.mp4 (1920x1080) [127.0 MB] || a012957_IceCubeviz_textfree.mov (1920x1080) [2.1 GB] || during-a-year-in-orbit-icecube-created-a-new-map-of-earths-clouds.hwshow [365 bytes] || ", "hits": 40 }, { "id": 12771, "url": "https://svs.gsfc.nasa.gov/12771/", "result_type": "Produced Video", "release_date": "2017-11-09T11:00:00-05:00", "title": "NASA CubeSat to Test Miniaturized Weather Satellite Technology", "description": "Music: Let's Shape the Future by Tiny MusicComplete transcript available. || MiRaTA-v5-27OCT.00929_print.jpg (1024x576) [79.3 KB] || MiRaTA-v5-27OCT.00929_searchweb.png (320x180) [67.0 KB] || MiRaTA-v5-27OCT.00929_thm.png (80x40) [5.3 KB] || MiRaTA-v5-27OCT.mp4 (1920x1080) [235.1 MB] || MiRaTA-v5-27OCT.webm (1920x1080) [20.3 MB] || ESTO.en_US.srt [2.1 KB] || ESTO.en_US.vtt [2.1 KB] || ", "hits": 25 }, { "id": 12182, "url": "https://svs.gsfc.nasa.gov/12182/", "result_type": "Produced Video", "release_date": "2016-03-31T13:00:00-04:00", "title": "Why Do Raindrop Sizes Matter In Storms?", "description": "Not all raindrops are created equal. The size of falling raindrops depends on several factors, including where the cloud producing the drops is located on the globe and where the drops originate in the cloud. For the first time, scientists have three-dimensional snapshots of raindrops and snowflakes around the world from space, thanks to the joint NASA and Japan Aerospace Exploration Agency Global Precipitation Measurement (GPM) mission. With the new global data on raindrop and snowflake sizes this mission provides, scientists can improve rainfall estimates from satellite data and in numerical weather forecast models, helping us better understand and prepare for extreme weather events.Watch this video on the NASA Goddard YouTube Channel. || ", "hits": 130 }, { "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": 60 }, { "id": 11492, "url": "https://svs.gsfc.nasa.gov/11492/", "result_type": "Produced Video", "release_date": "2014-02-23T10:00:00-05:00", "title": "GPM Weather Report Package", "description": "Data from the GPM Core Observatory will enable the first ever \"CAT scans\" from space of blizzards in the mid-latitudes where populations rely on snowpack for water resources and cities can be crippled by extreme snow storms. Just like a doctor uses CAT scans and X-Rays to diagnose what is happening in the human body, scientists use GPM's measurements to diagnose the internal structures of precipitation. By providing more accurate and frequent observations of rain and snow, GPM enables weather prediction centers to improve their forecasts.For more information about GPM, visit www.nasa.gov/gpm. || ", "hits": 19 }, { "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": 10537, "url": "https://svs.gsfc.nasa.gov/10537/", "result_type": "Produced Video", "release_date": "2009-12-08T13:00:00-05:00", "title": "Climate in a Box", "description": "Recent advances in computer technology and software design make it possible to run massive climate simulations on desktop sized machines. This is a paradigm shift from the need for room sized supercomputers to do important work in climate modelling. In a new initiative, NASA plans to facilitate the wider distribution of desktop sized supercomputers, aimed at democratizing climate research among scientists who might otherwise have been more resource contrained. Included in this video are modelling output runs using GEOS-5 and WRF. || ", "hits": 21 }, { "id": 2760, "url": "https://svs.gsfc.nasa.gov/2760/", "result_type": "Visualization", "release_date": "2003-06-23T12:00:00-04:00", "title": "AMSR-E Anomalous Pacific Sea Surface Temperature Data Used to predict 2003 Hurricane Season", "description": "Researchers and forecasters often study sea surface temperatures to predict the upcoming year's tropical cyclone activity. This sequence tracks warmer-than-normal waters and colder-than-normal waters in the Pacific Ocean. In 2003, experts have predicted a 'normal to below normal' number of tropical cylones. Researchers say the Pacific may transition to the colder-than-normal La Niña phase. Fewer than normal hurricanes generally form when El Niño is present. Areas in red represent warmer than normal and areas in blue represent cooler than normal. || ", "hits": 8 }, { "id": 2477, "url": "https://svs.gsfc.nasa.gov/2477/", "result_type": "Visualization", "release_date": "2002-07-01T12:00:00-04:00", "title": "True Color MODIS Albedo Image Improves Climate Modeling", "description": "The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. Zooming in on Africa's Sahara Desert and the Arabian Peninsula, MODIS observed considerable variability in reflectance across the region-from the darkest volcanic terrains to the brightest sand. This matches specific soil groups and rock types to MODIS-derived albedo measurements. This correlation is important because most current weather forecast models treat this region as if the surface is uniform and therefore reflects the same amount of light all across its wide expanse. However, the terrain across the Sahara Desert and Arabian Peninsula is actually quite varied. Darker surface features (like rocks and plant canopies) absorb more light than lighter surfaces (like sand) and therefore get hotter in the afternoon. Over the course of a day, these heating differences can set up atmospheric motions that influence global clouds and rain. || ", "hits": 37 }, { "id": 2478, "url": "https://svs.gsfc.nasa.gov/2478/", "result_type": "Visualization", "release_date": "2002-07-01T12:00:00-04:00", "title": "MODIS White Sky Albedo Image Improves Climate Modeling", "description": "The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. The colors in this image emphasize the albedos ranging from 0.0 to 0.4 over the Earth's land surfaces. Areas colored red show the brightest, most reflective regions; yellows and greens are intermediate values; and blues and violets show relatively dark surfaces. White indicates no data were available, and no albedo data are provided over the oceans. This image was produced using data composited over a 6-day period, from April 7-22, 2002. || ", "hits": 17 }, { "id": 2479, "url": "https://svs.gsfc.nasa.gov/2479/", "result_type": "Visualization", "release_date": "2002-07-01T12:00:00-04:00", "title": "MODIS Albedo Globe Unwraps to MODIS Albedo True Color Flat Map", "description": "The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. Zooming in on Africa's Sahara Desert and the Arabian Peninsula, MODIS observed considerable variability in reflectance across the region-from the darkest volcanic terrains to the brightest sand. This matches specific soil groups and rock types to MODIS-derived albedo measurements. This correlation is important because most current weather forecast models treat this region as if the surface is uniform and therefore reflects the same amount of light all across its wide expanse. However, the terrain across the Sahara Desert and Arabian Peninsula is actually quite varied. Darker surface features (like rocks and plant canopies) absorb more light than lighter surfaces (like sand) and therefore get hotter in the afternoon. Over the course of a day, these heating differences can set up atmospheric motions that influence global clouds and rain. || ", "hits": 46 }, { "id": 2480, "url": "https://svs.gsfc.nasa.gov/2480/", "result_type": "Visualization", "release_date": "2002-07-01T12:00:00-04:00", "title": "MODIS White Sky Albedo Unwraps to False Color Albedo Flat Map", "description": "The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures albedo. Albedo measures the proportion of incoming solar radiation reaching a surface that is reflected back to the atmosphere and to space. For an unchanging surface, albedo can vary somewhat, depending on the sky and atmospheric conditions. This image maps the white-sky albedo, which is the albedo under conditions of a uniform, dense cloud cover, in which downwelling light energy comes uniformly from all directions. The color bar indicates the albedo value ranging from 0.0 to 0.4 over the Earth's land surfaces. Areas colored red show the brightest, most reflective regions; yellows and greens are intermediate values; and blues and violets show relatively dark surfaces. White indicates no data is available. Typically, vegetated surfaces and water have low albedos, while soil and urban surfaces have somewhat higher values. Note that solar energy that is not reflected away from a surface is absorbed by that surface. Thus, albedo also provides information about the amount of energy absorbed by a surface. Since this energy serves to heat the soil and the air just above the surface, albedo is an important factor in weather and climate studies, and especially is important for modeling of weather and climate on scales of days to years.This image was produced using data composited over a 16-day period, from April 7-22, 2002. || ", "hits": 53 }, { "id": 2483, "url": "https://svs.gsfc.nasa.gov/2483/", "result_type": "Visualization", "release_date": "2002-07-01T12:00:00-04:00", "title": "Spinning MODIS Albedo", "description": "The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. Zooming in on Africa's Sahara Desert and the Arabian Peninsula, MODIS observed considerable variability in reflectance across the region-from the darkest volcanic terrains to the brightest sand. This matches specific soil groups and rock types to MODIS-derived albedo measurements. This correlation is important because most current weather forecast models treat this region as if the surface is uniform and therefore reflects the same amount of light all across its wide expanse. However, the terrain across the Sahara Desert and Arabian Peninsula is actually quite varied. Darker surface features (like rocks and plant canopies) absorb more light than lighter surfaces (like sand) and therefore get hotter in the afternoon. Over the course of a day, these heating differences can set up atmospheric motions that influence global clouds and rain. || ", "hits": 88 } ] }