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Data Recipes
Follow one of our data recipes to accomplish a specific task, such as converting data into a certain format for analysis or visualization.
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6 MIN READ
Learn how to use Python to convert near real-time (NRT) data from NASA's Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument provided by the Land, Atmosphere Near real-time Capability for Earth Observing Systems (LANCE).
5 MIN READ
Learn how to generate a time-height plot of the measured Hurricane and Severe Storm Sentinel (HS3) High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) radar reflectivity through a Python plotting routine.
13 MIN READ
This data recipe guides the user through a Python script that enables visualization of Optical Transient Detector (OTD) lightning flash locations.
5 MIN READ
This data recipe instructs users on how to generate vertical time-height plots of Hurricane and Severe Storm Sentinel (HS3) Global Hawk Cloud Physics Lidar (CPL) attenuated total backscatter measurements using a Python plotting routine.
4 MIN READ
This data recipe enables users to plot temporal subsets of the HS3 High Altitude MMIC Sounding Radiometer (HAMSR) Radar Reflectivity Profiles through a Python plotting routine.
3 MIN READ
Use a Python script to convert Infrared Global Geostationary Composite McIDAS data into PNG format and display the infrared composite as an image outside of McIDAS software.
3 MIN READ
This code converts total precipitable water in the Land, Atmosphere Near real-time Capability for Earth observation (LANCE) AMSR2 Near Real-Time Ocean product in HDF-EOS5 format to GeoTIFF.
3 MIN READ
This code converts the soil moisture ('SoilMoistureNPD') parameter in the Advanced Microwave Scanning Radiometer 2 (AMSR2) Near Real Time (NRT) Land product in HDF-EOS5 format to GeoTIFF.
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