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Home » Focus Areas » Decision Support and Data Delivery

Decision Support and Data Delivery

Fx-CAVE - Forecast eXperimental-Common AWIPS Visualization Environment

The FxCAVE system provides access to the display capability of an AWIPS workstation via the web. The system delivers NWS high-resolution gridded numerical weather prediction model data, surface observations, satellite imagery, and radar data from a central server to all the Geographic Area Coordination Centers (GACC) at the National Interagency Fire Center (NIFC). It has been running successfully as a demonstration for several years and is planned to be transitioned to NIFC operations.

AWIPS Hazard Services

Hazard Services (HS) is a multi-year, multi-phase effort involving many project partners to produce a powerful software package that modernizes how hazardous weather products are generated by the NWS. This new forecast and hazard creation software on the Advanced Weather Interactive Processing System (AWIPS) workstation will replace three existing applications, each with its own interface, menu list, and process to create a forecast or weather warning. By combining these applications into one framework with a single interface, the forecasting process will be streamlined with a unified information creation workflow that is highly configurable and customizable.

Impact-based Decision Support Services

GSL is on the forefront in developing new systems for NWS forecasters and other federal and international agencies) who require the display of and interaction with real-time weather data for their forecast and warning operations as well as to support Impact-Based Decision Support Services. GSL has been tasked with the creation of a variety of science-based applications to enable forecasters to work more quickly and efficiently for both routine tasks and in critical weather situations.

Weather Archive and Visualization Environment (WAVE)

The National Weather Service (NWS) is collaborating with GSL to develop a modern, lightweight, scalable application with capabilities to meet the growing demand to communicate probabilistic information in a timely and understandable format. This tool is the Weather Archive and Visualization Environment (WAVE), a web-based graphical interface conceived by NWS forecasters to:

WAVE’s software architecture has been designed to fully utilize a scalable cloud infrastructure. In addition, the underlying APIs allow users to customize how they present WAVE data. One such use is embedding WAVE URLs into PowerPoint to automatically retrieve an animated image of the latest run for a selected model. WAVE also supports high-resolution datasets such as GOES-16, complex probabilistic data such as National Blend of Models (NBM), and high-velocity data such as radar data. WAVE’s cloud-based architecture allows it to continue to grow with the data and produce timely, meaningful insights from increasingly complex data.

Threats In Motion (TIM)

Threats in Motion is the next step in the evolution of how weather information is provided to the public. TiM warning grids update every minute and move continuously with the path of the storm. TiM is part of a broader framework known as Probabilistic-Hazard Information (PHI) and FACETs, or Forecasting a Continuum of Environmental Threats. FACETs is a paradigm shift to provide more information between the watch and warning system currently in place. PHI will be the mechanism to implement FACETs in the forecast office workflow.

AQPI

The Advanced Quantitative Precipitation Information (AQPI) project is a collaboration with the California Department of Water Resources. GSL's role is to integrate monitoring, assimilation and analysis, and prediction components together into a coherent operating system providing intelligent feedback among the components, as well as delivering quality control, real-time data transfer, and archiving functions. GSL is also developing a monitoring and notification user interface providing advanced notice of rainfall, flash floods, and coastal flooding. The system will provide gridded precipitation and hydrologic information in a form useable by water managers and the local agencies' hydrologic and hydraulic models.

MADIS

The Meteorological Assimilation Data Ingest System (MADIS) was developed by GSL. It is no operational, but research continues to enhance the system to fully leverage advances in technology and science.