Bridging research to operations transitions: Status and plans of community GSI

AbstractWith 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 inter...

[1]  David D. Parrish,et al.  GSI 3DVar-Based Ensemble-Variational Hybrid Data Assimilation for NCEP Global Forecast System: Single-Resolution Experiments , 2013 .

[2]  Fuzhong Weng,et al.  JCSDA Community Radiative Transfer Model (CRTM) : version 1 , 2006 .

[3]  A. Simmons,et al.  The ECMWF operational implementation of four‐dimensional variational assimilation. I: Experimental results with simplified physics , 2007 .

[4]  G. Powers,et al.  A Description of the Advanced Research WRF Version 3 , 2008 .

[5]  Frederick G. Shuman,et al.  History of Numerical Weather Prediction at the National Meteorological Center , 1989 .

[6]  Jeffrey L. Anderson,et al.  The Data Assimilation Research Testbed: A Community Facility , 2009 .

[7]  R. Purser,et al.  Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances , 2002 .

[8]  Ming Hu,et al.  Ongoing Development and Testing of Generalized Cloud Analysis Package within GSI for Initializing Rapid Refresh , 2008 .

[9]  Andrew C. Lorenc,et al.  The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var , 2003 .

[10]  M. Buehner Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting , 2005 .

[11]  Andrew F. Loughe,et al.  The Developmental Testbed Center and its Winter Forecasting Experiment , 2008 .

[12]  Ming Hu,et al.  Implementation and evaluation of cloud analysis with WSR‐88D reflectivity data for GSI and WRF‐ARW , 2007 .

[13]  J. Derber,et al.  Introduction of the GSI into the NCEP Global Data Assimilation System , 2009 .

[14]  Vijay Tallapragada,et al.  Community Support and Transition of Research to Operations for the Hurricane Weather Research and Forecasting Model , 2015 .

[15]  A. Lorenc,et al.  Operational implementation of a hybrid ensemble/4D‐Var global data assimilation system at the Met Office , 2013 .

[16]  R. Daley Atmospheric Data Analysis , 1991 .

[17]  Wei Huang,et al.  A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results , 2004 .

[18]  J. Derber,et al.  Variational Data Assimilation with an Adiabatic Version of the NMC Spectral Model , 1992 .

[19]  R. Gelaro,et al.  Observation Sensitivity Calculations Using the Adjoint of the Gridpoint Statistical Interpolation (GSI) Analysis System , 2008 .

[20]  N. Roberts,et al.  Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part II: Spatially Inhomogeneous and Anisotropic General Covariances , 2003 .

[21]  Chris Snyder,et al.  A Hybrid ETKF-3DVAR Data Assimilation Scheme for the WRF Model. Part I: Observing System Simulation Experiment , 2008 .

[22]  Steven E. Koch,et al.  The Emergence of Weather-Related Test Beds Linking Research and Forecasting Operations , 2013 .

[23]  P. Houtekamer,et al.  Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .

[24]  Thomas Auligné,et al.  Generalized background error covariance matrix model (GEN_BE v2.0) , 2014 .

[25]  Alexander E. MacDonald,et al.  TRANSITION OF WEATHER RESEARCH TO OPERATIONS Opportunities and Challenges , 2002 .

[26]  Stanley G. Benjamin,et al.  The Real-Time Mesoscale Analysis at NOAA’s National Centers for Environmental Prediction: Current Status and Development , 2011 .

[27]  J. Neumann,et al.  Numerical Integration of the Barotropic Vorticity Equation , 1950 .

[28]  Quanhua Liu,et al.  Three‐dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia , 2011 .

[29]  Yong-Run Guo,et al.  The Weather Research and Forecasting Model's Community Variational/Ensemble Data Assimilation System: WRFDA , 2012 .

[30]  Christopher K. Wikle,et al.  Atmospheric Modeling, Data Assimilation, and Predictability , 2005, Technometrics.