Fine-Scale Analysis and Nowcast System (FINECAST®) is used by the research community to study... more
The National Convective Weather Forecast (NCWF) product was developed by NCAR/RAL and eventually operationalized by the NWS Aviation Weather Center (AWC). It was the first extrapolation-based... more
Jeffrey K. Lazo Robert S. Raucher Thomas J. Teisberg Carolyn J. Wagner Rodney F. Weiher Version: August 6, 2009 2009 Copyright University Corporation for Atmospheric Research
Summary... more
Thunderstorms and especially lightning pose a safety risk to people outdoors whether they are working or enjoying themselves with recreational activities. It is imperative to bring people inside... more
The CAWFE® Modeling System contains two parts: a numerical weather prediction model and a fire behavior model that simulates the growth of a wildfire in response to weather, fuel conditions, and... more
The accumulation of ice on aircraft prior to take off has long been recognized as one of the most significant safety hazards... more
WRF-Fire is a physics module within WRF ARW that allows users to model the growth of a wildland fire in response to environmental conditions of terrain slope, fuel characteristics, and atmospheric... more
The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather prediction system designed to serve both atmospheric research and operational... more
The WRF-Hydro® HydroInspector® is a state-of-the-art Web Mapping Service (WMS) that allows users to manipulate and interact with a host of hydrologic observation and hydrologic model output data.... more
The National Convective Weather Forecast (NCWF) product, designed and implemented by the National Centerfor Atmospheric Research (NCAR), provides a diagnose of the current locations of convective... more
The aims of this project are: (a) to foster increased development of forecast aids for global basins by engaging the wider community of operational centers, academic researchers, and commercial... more
This project is funded by the Risk Prediction Initiative (RPI2.0) to develop a new historical database of tropical cyclone wind and size parameters. Unlike other historical databases, such as the... more
