Winter | Implementing the GFS global model with the FV3 dynamic core upgrade into the National Centers for Environmental Prediction (NCEP) Production Suite will be the first step towards a Unified Forecast System (UFS). But prior to any new code being delivered to NCEP Central Operations, the NCEP Director must decide whether the implementation should occur, based on recommendations from the Environmental Modeling Center (EMC) and customers and stakeholders in the field at the conclusion of a formal evaluation period. EMC’s  … Read More

2018-11-07 | The Developmental Testbed Center (DTC) is pleased to announce the release of the 2018 Community Gridpoint Statistical Interpolation (GSI) Version 3.7 and Ensemble Kalman Filter (EnKF) version 1.3 data assimilation system. This release includes the latest code as of October 30th of 2018, new compiling system, and updated run scripts with updated User's Guide and on-line tutorials. … Read More

2018-11-05 | The DTC Hurricane team is pleased to announce the release of version 4.0a 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. Users may go to http://www.dtcenter.org/HurrWRF/users to download codes, acquire datasets, and get information and documentation about HWRF.… Read More

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

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

Summer | 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 can… Read More

Summer 2018 | The Next Generation Global Prediction System (NGGPS) multi-year Strategic Implementation Plan (SIP) connects federal and academic experts in the numerical weather prediction community to support the end-to-end functionality of the National Centers for Environmental Prediction (NCEP) Production Suite. The goal of the SIP is to help evolve the NGGPS into a Unified Forecast System (UFS) for operations and research. The SIP governance includes UFS Working Groups who represent the essential science, technical, and design… Read More

Summer 2018 | NOAA and the National Weather Service (NWS) are embarking on a new strategy of community engagement for developing the numerical weather prediction models that provide NWS forecasters with the best possible guidance. By engaging the broader numerical modeling community, NWS will leverage the vast modeling expertise that resides therein, since each model developer offers a unique perspective about modeling challenges and possible solutions.