[field_related_solution_area] Products

The primary role of the nowcast environment is to collect weather data, execute algorithms for producing a combined thunderstorm forecast, and provide a graphical display tool for viewing the... more

Cidd is a X-based, real-time data display application which supports PPI, CAPPI, and cross sectional views. Cidd is the main display tool within the Auto-Nowcast Environment. It is highly configurable and is used to display the majority of the MDV and SPDB formated data produced within the Environment.
FINECAST® Nowcasting System: High Resolution AnalysisImproving Nowcasting via Data Assimilation

Fine-Scale Analysis and Nowcast System (FINECAST®) is used by the research community to study... more

FINECAST®
High-Resolution Land Data Assimilation System (HRLDAS)

The High-Resolution Land Data Assimilation System (HRLDAS) is an offline driver of the land surface models present in the Weather Research and... more

HRLDAS-produced volumetric surface soil moisture at 4-km resolution over the central United States.
The Integrated WEAP and LEAP tools, showing the linking window (center), where common modeling areas, scenarios, periods of analysis, and timesteps are matched. 

In addition to... more

Water Evaluation and Planning Model (WEAP)
Cloud-seeding parameterization in WRF

The WRF-WxMod® model is a novel capability  for evaluating the impacts of cloud seeding on precipitation, designing new or optimizing existing cloud-... more

WRF-WxMod Cloud-seeding parameterization in WRF

RAL scientists work to understand, through theoretical and observational studies, the complex biophysical, hydrological, and bio-geochemical interactions between the land-surface and the... more

Unified Noah LSM
The future of water prediction: WRF-Hydro® Critical Water Issues

The WRF-Hydro® Project develops leading-edge, open-source community hydrometeorological and hydrologic models, and modeling support... more

WRF-Hydro simulation of 2013 Colorado floods: Accumulated precipitation (shaded colors), gridded streamflow (points)
WRF Model Output

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

WRF model output showing simulated radar reflectivity (dBZ) for Typhoon Mawar at 3.3-km (2.1-mi) grid spacing. Time period is from 0000 UTC 22 August 2005 to 0000 UTC 24 August 2005.

Timely and accurate Quantitative Precipitation Estimates (QPE) are essential for forecasting stream flow particularly for flash floods and localized urban flooding.

Radar and rain Gauge... more

Probabilistic Quantitative Precipitation Estimates (QPE)
OverviewWater System: Improve the community Noah-MP LSM to enhance WRF high-resolution climate modeling capabilities

A collaborative effort among NCAR, NCEP, NASA, and university groups has been... more

Observed and modeled Snow Water Equivalent (SWE) by six land surface models, averaged over 112 SNOTEL sites.

SUMMA or the Structure for Unifying Multiple Modeling Alternatives is a hydrologic modeling approach that is built on a common set of conservation equations and a common numerical solver, which... more

Structure for Unifying Multiple Modeling Alternatives (SUMMA)

Many  managers of urban water utilities have only a limited understanding of climate change and how it may affect their ability to continue serving their customers' needs in a cost-effective and... more

Our goal is to develop an integrated, multi-scale urban modeling system for the Weather Research and Forecast (WRF) model to address various urban environmental issues,  which include the impacts... more

Urban Canopy Model
Warm-Season Quantitative Precipitation Forecast (QPF)

Land surface properties (e.g., albedo, soil moisture, vegetation) modify the partition of latent heat (evaporation) and sensible heat fluxes,... more

Quantitative Precipitation Forecast (QPF)

The WRF/Noah LSM Coupled system consists of a large number of comprehensive terristrial data sets, their processing onto WRF grid through WRF/SI and Real routines, and the Unified Noah LSM as part... more

WRF Noah Noah-MP Modeling System

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

Synopsis

SHARP is being designed to facilitate the demonstration and evaluation of variations in the real-time forecasting workflow for short, medium and seasonal range streamflow predictions. To... more

Creating the first community quasi-dynamical weather and climate downscaling model.

The Intermediate Complexity Atmospheric Research (ICAR) model is a simplified atmospheric model designed... more

Enhancing the WRF-urban modeling system and its applications to real-time weather forecasts for mega cities18 – 20Z absolute bias difference in two-meter temperature (a) and ten-meter wind speed (b)... more

This code is an implementation of a hybrid analog / regression multivariate downscaling procedure. The program reads a namelist file for the configuration information. The downscaling process is... more

The WRF Variational Data Assimilation (WRFDA) system is in the public domain and is freely available for community use. It is designed to be a flexible, state-of-the-art atmospheric data... more

Before you obtain the complete CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) data set described in Newman et al. (2015) and Addor et al. (2017), please take a minute to... more

CAMELS attributes

The Topographically InformEd Regression (TIER) model (Newman and Clark, 2019) was developed to distribute in situ observations of precipitation and temperature to a grid.  TIER accounts for... more

There is a timely and critical need for collaborative and integrative research on adaptation strategies between biophysical and social scientists in the climate and water community. In July of... more

DART is created by the Data Assimilation Research Section (DAReS), a small group of data assimilation experts, software engineers and physical scientists. DAReS was founded as the result of NCAR's... more

A depiction of the along-the-stream localization scheme implemented in the project. The asterisks depict stream flow gauges and the rainbow-colored segments depict the specific areas affected by the assimilated data.