wrf-python A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model. This package provides over 30 diagnostic calculations, several interpolation routines, and utilities to help with plotting via cartopy, basemap, or PyNGL. Th...
Global weather forecasting (inference) using the trained models Downloading trained models Please download the four pre-trained models (~1.1GB each) from Google drive or Baidu netdisk: The 1-hour model (pangu_weather_1.onnx): Google drive/Baidu netdisk The 3-hour model (pangu_weather_3.onnx...
The most accurate and trusted surf reports, forecasts and coastal weather. Surfers from around the world choose Surfline for dependable and up to date surfing forecasts and high quality surf content, live surf cams and features.
Global weather forecasting (inference) using the trained models Please download the four pre-trained models (~1.1GB each) from Google drive or Baidu netdisk: The 1-hour model (pangu_weather_1.onnx):Google drive/Baidu netdisk The 3-hour model (pangu_weather_3.onnx):Google drive/Baidu netdis...
ParametricWeatherModel is a repository for forecasting surface temperature based primarily on latitude, longitude, day of year and hour of day. The weather modeling script is less than 200 lines of python plus argument parsing, output and error handling. There are no external dependencies. ...
Real-time flood forecasting and information system for the State of Iowa. Bull. Am. Meteorol. Soc. 2017, 98, 539–554. [CrossRef] Atmosphere 2020, 11, 701 13 of 14 8. Seo, B.-C.; Krajewski, W.F. Statewide real-time quantitative precipitation estimation using weather radar and NWP ...
1. Introduction Weather identification is identifying and forecasting weather patterns using advanced technologies such as computer vision and machine learning. This procedure is important to our daily lives since it enables us to make informed decisions about outdoor activities, clothing choices, and ...