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            "id": 4729,
            "url": "https://svs.gsfc.nasa.gov/4729/",
            "result_type": "Visualization",
            "release_date": "2019-07-18T00:00:00-04:00",
            "title": "FIREX-AQ Prelaunch Data Visualization",
            "description": "This data visualization starts with an overview of the United States west coast. As we zoom into several California wildfires, MODIS data dissolves in to show some of the low-lying smoke resulting from these fires. The camera then pans across the United States, slowly revealing CALIPSO swath passes as they dissect the atmosphere. Throughout most of the journey CALIPSO picks up many aerosol signatures as shown in the more opaque portions of the curtain. || firex_comp2.0400_print.jpg (1024x576) [167.7 KB] || firex_comp2.0400_searchweb.png (320x180) [119.9 KB] || firex_comp2.0400_thm.png (80x40) [7.4 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || firex_comp2_1080p30.webm (1920x1080) [12.0 MB] || firex_comp2_1080p30.mp4 (1920x1080) [100.7 MB] || firex_comp2_1080p30.mp4.hwshow [185 bytes] || ",
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        {
            "id": 4524,
            "url": "https://svs.gsfc.nasa.gov/4524/",
            "result_type": "Visualization",
            "release_date": "2016-11-08T00:00:00-05:00",
            "title": "Correlation Between GLOBE Citizen Science and NASA Satellite Observations",
            "description": "GLOBE, MODIS, CALIPSO, CloudSat full animation || GLOBE_satellites.1700_print.jpg (1024x576) [174.5 KB] || GLOBE_satellites.1700_searchweb.png (320x180) [94.7 KB] || GLOBE_satellites.1700_thm.png (80x40) [6.8 KB] || full (1920x1080) [0 Item(s)] || GLOBE_satellites_1080p30.mp4 (1920x1080) [74.5 MB] || GLOBE_satellites_1080p30.webm (1920x1080) [10.1 MB] || GLOBE_satellites_1080p30.mp4.hwshow [190 bytes] || ",
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        {
            "id": 4377,
            "url": "https://svs.gsfc.nasa.gov/4377/",
            "result_type": "Visualization",
            "release_date": "2015-10-02T16:00:00-04:00",
            "title": "A 3-D Look at Weather, Clouds, and Aerosols",
            "description": "This gallery was created for Earth Science Week 2015 and beyond. It includes a quick start guide for educators and first-hand stories (blogs) for learners of all ages by NASA visualizers, scientists and educators. We hope that your understanding and use of NASA's visualizations will only increase as your appreciation grows for the beauty of the science they portray, and the communicative power they hold. Read all the blogs and find educational resources for all ages at: The Earth Science Week 2015 page.I've always been fascinated by our atmosphere. Think about it: even though we don't see it, above us is a great aerial ocean! Over time my fascination has grown from weather maps and pondering the origins of storms, to learning all about the physics that surround our everyday lives. From as early as grade school I was also very interested in computers: diagnosing errors, developing programming skills and learning all about hardware and operating systems. So you might say my interests naturally led me to a career as a NASA scientist, where I create visualizations to study the underlying factors that drive weather patterns. Visualizations help us to see the world differently and actively.Many of you have no doubt seen your homes from space using a program called Google Earth™. But did you know you could do a lot more with the right data? In fact I often use it to map atmospheric data in three-dimensions (3-D) around the globe. But one of the challenges I often face is that data comes from many different sources, such as NASA and NOAA satellites or ground-observation stations. This means the data is stored on computer disks all over the country and are named and organized according to different standards, requiring us to customize techniques for producing accurate visualizations in one, 3-D display of the Earth. We do this in order to analyze atmospheric relationships more easily because many weather phenomena arise from physical interactions, both horizontally and vertically, in the global circulation.A big part of atmospheric research relies on using computer models to simulate what our atmosphere will do under different conditions. A great example of this is the data used to prepare the daily weather forecast. This data originates from weather forecasting models that calculate atmospheric motions using the world’s fastest supercomputers. But how do we know these forecasts are accurate? Researchers can verify a model's performance by visualizing one of the variables such as temperature, humidity, wind speed, wind direction, or air pressure and then using color shading, contour curves, and wind \"barbs\" to graph that data. Then they overlay the observations from NASA satellites such as cloud-top imagery, cloud-top temperature, and vertical distributions of clouds and aerosols, with the graph (it can be challenging to synchronize the data display as these times usually don't match). After this process, the display confirms the model's accuracy. This method is used to study many atmospheric events, such as timing of a storm system, precipitation, or the direction of dust or smoke transport. || ",
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