2018-09-28 | The Model Evaluation Tools (MET) development team at the DTC is pleased to announce the release of a multi-component verification capability called METplus.  It includes METplus version 2.0, MET version 8.0 and METviewer version 2.8. METplus is a suite of Python wrappers and ancillary scripts to enhance the user's ability to quickly set-up and run MET.  METviewer is a database and display system for aggregating and plotting MET output.  In the future, a user will be able to check everything out through the METplus GitHub… Read More

Summer 2018 | Earth system models connect the atmosphere, ocean, and land, and depend on proper representations of dynamics and physics, initial conditions, and interactions of these processes to predict future conditions. Standard meteorological variables are used to validate typical numerical weather prediction models but are gross measures of these countless interactions and limit their usefulness for guiding model improvement. Some fraction of error in these metrics can be the result of specific physical parameterizations, but it… Read More

2018-08-30 | The DTC’s Global Model Test Bed (GMTB) is pleased to announce the public release of the Common Community Physics Package (CCPP) v2.0, containing a library of physical parameterizations (CCPP-Physics), and the framework that connects it to host models (CCPP-Framework). In this release, the CCPP has been bundled with the GMTB Single Column Model (SCM) v2.1, and contains updated physical parameterizations of the GFS suite plus the GFDL microphysics scheme. The CCPP has also been integrated with the experimental version of… Read More

2018-05-01 | The Developmental Testbed Center (DTC) is pleased to announce an upcoming community workshop on Numerical Weather Prediction test plan and metrics for model validation and verification. Now available: Agenda | Registration | Logistics The workshop, to take place at the NCWCP in College Park, MD, will be held for two and a half days prior to the NGGPS Strategic Implementation Planning (SIP) meeting at the same location. The major goal of this workshop is to develop a community test plan with common validation and… Read More

2018-04-13 | The DTC’s HWRF team is pleased to announce the public release of the Community standalone GFDL Vortex Tracker code version 3.9a. The standalone tracker can be used to determine properties (location, intensity, structure etc) of forecast tropical… Read More

2018-04-09 | The DTC’s Global Model Test Bed (GMTB) is pleased to announce the public release of the Common Community Physics Package (CCPP), a library of physical parameterizations for atmospheric numerical models. It is distributed with a framework that enables its use with any host application for which an interface is written. In this release, the CCPP has been bundled with the GMTB Single Column Model (SCM) and contains all the physical parameterizations used in the current operational NOAA Global Forecast System (GFS). For more… Read More

2017-12-05 | The MET development team at the DTC is pleased to announce the release of the MET version 6.1 verification package. It is available for download from the MET Users web page. The MET development team significantly enhanced the run-time performance of a number of tools, enhanced the data and file format capabilities, and added new capabilities for point observations, gridded analyses and tropical cyclone and probabilistic verification. Full details about the… Read More

2017-10-16 | The Developmental Testbed Center (DTC) is pleased to announce the release of version 3.9a of the community HWRF modeling system. The release includes all components of the system: scripts, data preprocessing, vortex initialization, data assimilation, atmospheric and ocean models, coupler, postprocessor, and vortex tracker. Both the Scientific Documentation and the Users Guide have been updated.… Read More

Autumn 2017 | "Entraining a vibrant, diverse external community into NCEP global model development will bring broader dividends. ....Surely the U.S. can marshal its intellectual resources to do even better and create the world's best unified modeling system using the GMTB as a collaborative platform." Read More

Summer 2017 | The MET development team at the DTC is pleased to announce the release of the MET version 6.0 verification package. It is available for download from the MET Users web page. The MET development team significantly enhanced the run-time performance of a number of tools, enhanced the data and file format capabilities, and added new capabilities for point observations, gridded analyses and tropical cyclone and probabilistic verification. Full details about the changes for this new… Read More

Winter 2021 | Dr. Xuguang Wang is a Robert Lowry Chair Professor and Presidential Research Professor of School of Meteorology of University of Oklahoma. She leads a Multiscale data Assimilation and Predictability (MAP) lab. Her MAP research includes (a) developing new techniques and novel methodologies for data assimilation and ensemble prediction; (b) applying these techniques for global, hurricane, and convective-scale numerical prediction systems that assimilate a variety of … Read More

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2020-10-30 | The Developmental Testbed Center (DTC), in cooperation with Subject Matter Experts (SMEs) from NOAA's Environmental Modeling Center (EMC) and Geophysical Fluid Dynamics Laboratory (GFDL), as well as NCAR’s Climate and Global Dynamics (CGD) Laboratory, will be hosting a live, virtual training session for the Unified Forecast System (UFS) Medium-Range Weather (MRW) Application from November 4-6 and November 9, 2020 (see to the training webpage). This training will be focused on teaching community… Read More

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Spring 2020 | The DTC community mourns the passing of William “Bill” Lapenta, Ph.D. Bill was the Acting Director of NOAA’s Office of Weather and Air Quality (OWAQ) within NOAA’s Oceanic and Atmospheric Research that supports world-class weather and air quality research. He was also the guiding force and energy behind the Earth Prediction Innovation Center (EPIC) with the goal to launch the U.S. forward as the world leader in numerical weather prediction through public-academic-private partnerships. He was committed to conquering the… Read More