National Weather Service United States Department of Commerce


The STI Modeling Program Team is responsible for supporting a variety of NWS modeling and research initiatives to improve weather forecasts. This is accomplished by funding research projects to accelerate and advance the development of new models, and foster collaboration among NOAA research scientists, federal labs, operational forecasters and the academic community. Examples of programs managed by this program division include efforts to improve guidance for hurricane track, intensity, and storm surge forecasts; develop an end-to-end air quality forecast capability; advance research to extend forecast skill beyond 8-10 days; and implement a weather-scale, fully-coupled numerical weather prediction system.

Public Release of the Common Community Physics Package (CCPP)

The DTC's Global Model Test Bed (GMTB) CCPP is a library of physical parameterizations for atmospheric numerical models.  The CCPP is an important component of the NGGPS foundation for a community-based Unified Forecast System.  Additional information can be found on the DTC's CCPP release page here.


NGGPS is evolving into a Unified Forecast System (UFS) guided by the Strategic Implementation Plan (SIP)

The multi-year Strategic Implementation Plan (SIP) documents the effort of the community as the NGGPS moves towards a Unified Forecast System described on the NGGPS Implementation page.


Most recent STI Modeling Seminar

More Accuracy with less precision - assessing information content for reliable weather and climate prediction by Tim Palmer, (Royal Society Research Professor, University of Oxford)

Abstract: The reasons for stochastic parmeterisation are reviewed.  From this, we conclude that conventional 64-bit floating-point representations in NWP and climate models are, for the most part, unnecessary and energetically profligate.  It is argued that a new start is needed for the development of Earth-System Models, based on the primacy of information content.












Air QualityAir Quality