![]() ![]() ![]() Pressure, humidity, wind speed, visibility, dew point info Current, today’s min & max and "Feels Like" temperature Monitor important National Weather Service watches, warnings and alerts in the form of interactive polygons on the map. Receive push notifications whenever there’s a weather alert for the bookmarked location (tornadoes, hurricanes, freeze warnings, and more) Read weather alerts with all the details you might need Choose background maps (standard, hybrid, satellite), search locations, add them to bookmarks and stay out of harm’s way. Satellite map illustrates the cloud cover Precipitation map provides precipitation forecast for the next 24 hours Radar overlay shows the areas of rain, snow & mixed precipitation in high resolution and vivid colors right on the interactive map Real-time radar images, severe weather alerts, accurate weather forecasts and much more - precise & timely to help keep you safe! Radar data can be written to NetCDF files, which conform to the CF/Radial convention.Clime: NOAA Weather Radar Live is an all-in-one weather tracker right on your device. Py-ART can read a number of common weather radar formats, including Sigmet/IRIS, MDV, CF/Radial, UF, and NEXRAD Level II archive files. ![]() The DOE Python Atmospheric Radiation Measurement (ARM) Toolkit (Py-ART) is a Python module containing a collection of weather radar algorithms and utilities. The library includes several command-line utilities and conversion between several Radar formats, including NEXRAD. The Radx C++ library was developed at the National Center for Atmospheric Research to provide support for the new CfRadial radar data format, and to provide translation between common radar data formats. The University Corporation for Atmospheric Research (UCAR) Radx Library This is an object-oriented library written in C that includes several command-line utilities and conversion between several Radar formats. In support of the Tropical Rainfall Measuring Mission's (TRIMM) Global Validation Program, the NASA's TRIMM Satellite Validation Office has developed a Radar Software Library (RSL) for working with the various input radar formats. National Weather Service (NWS) Common Operations and Development Environment (CODE) SoftwareĬODE is a "clone" of a WSR-88D Radar Product Generator on a workstation, which can run existing and user-created algorithms by ingesting WSR-88D Archive level-II data.This software can also ingest Level-II data from NCEI to study past weather events and create products for analysis. McIDAS-V displays weather satellite (including hyperspectral) and other geophysical data (including NEXRAD) in two and three dimensions, and it can be used to analyze and manipulate the data with its powerful mathematical functions. The Man computer Interactive Data Access System-V (McIDAS-V) is a free, open source, visualization and data analysis software package that is the fifth generation in SSEC's 40-year history of sophisticated McIDAS software packages. Space Science and Engineering Center (SSEC) Software Extensive C++ API, 3D analysis, data mining, real-time algorithms, and storm-tracking capabilities are available for the Linux platform only. The Warning Decision Support System–Integrated Information (WDSS-II) is the second generation of a suite of algorithms and displays for severe weather analysis, warnings, and forecasting. National Severe Storms Laboratory/Cooperative Institute for Mesoscale Meteorological Studies (NSSL/CIMMS) Software The IDV is a unified interface with integrated display and workspace functions that are compatible with satellite imagery, gridded data, surface observations, balloon soundings, NWS WSR-88D Level-II and Level-III Radar data, and NOAA National Profiler Network data. ![]() The Integrated Data Viewer (IDV) from Unidata is a Java™-based software framework for analyzing and visualizing geoscience data. NCEI's Weather and Climate Toolkit is Java™-based software that visualizes WSR-88D Level-II and Level-III Next Generation Weather Radar (NEXRAD) and Terminal Doppler Weather Radar (TDWR) data, including data from the NCEI archive. ![]()
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