Bridging Research to Operations Transitions: Status and Plans of Community GSI

Author:

Shao Hui1,Derber John2,Huang Xiang-Yu1,Hu Ming3,Newman Kathryn1,Stark Donald1,Lueken Michael4,Zhou Chunhua1,Nance Louisa1,Kuo Ying-Hwa1,Brown Barbara1

Affiliation:

1. National Center for Atmospheric Research, Boulder, Colorado

2. National Centers for Environmental Prediction/Environmental Modeling Center, College Park, Maryland

3. National Oceanic and Atmospheric Administration/Earth System Research Laboratory, and Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado

4. National Centers for Environmental Prediction/Environmental Modeling Center, and I. M. Systems Group, Inc., College Park, Maryland

Abstract

Abstract With a goal of improving operational numerical weather prediction (NWP), the Developmental Testbed Center (DTC) has been working with operational centers, including, among others, the National Centers for Environmental Prediction (NCEP), National Oceanic and Atmospheric Administration (NOAA), National Aeronautics and Space Administration (NASA), and the U.S. Air Force, to support numerical models/systems and their research, perform objective testing and evaluation of NWP methods, and facilitate research-to-operations transitions. This article introduces the first attempt of the DTC in the data assimilation area to help achieve this goal. Since 2009, the DTC, NCEP’s Environmental Modeling Center (EMC), and other developers have made significant progress in transitioning the operational Gridpoint Statistical Interpolation (GSI) data assimilation system into a community-based code management framework. Currently, GSI is provided to the public with user support and is open for contributions from internal developers as well as the broader research community, following the same code transition procedures. This article introduces measures and steps taken during this community GSI effort followed by discussions of encountered challenges and issues. The purpose of this article is to promote contributions from the research community to operational data assimilation capabilities and, furthermore, to seek potential solutions to stimulate such a transition and, eventually, improve the NWP capabilities in the United States.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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