PROUD Award - Excellence in Action: Evelyn Grell, Associate Scientist University of Colorado’s Cooperative Institute for Research in Environmental Sciences (CIRES), NOAA, DTC

2024-11-12 | Evelyn Grell is an Associate Scientist with the University of Colorado’s Cooperative Institute for Research in Environmental Sciences (CIRES) at the NOAA Physical Sciences Laboratory. She plays a key role in the DTC Unified Forecast System Physics Testing and Evaluation project and contributes to other projects outside of the DTC. As the sole DTC staff member from NOAA’s Physical Sciences Laboratory, Evelyn exemplifies an inspiring work ethic and possesses exceptional talent. Her contributions benefit not only the DTC… Read More

Lead Story: In Memoriam - Tara Jensen

Autumn 2024 | The DTC community mourns the passing of Tara Jensen this past September. Tara joined the DTC in December of 2008, eleven months after the initial release of the Model Evaluation Tools (MET), a verification software package developed and supported by the DTC. Over the next six years, Tara contributed to a variety of DTC projects, ranging from collaborations with two other NOAA Testbeds (i.e., the Hydrometeorology and Hazardous Weather Testbeds) to internal projects focused on mesoscale and ensemble model evaluations.… Read More

Director's Corner: Randy Bullock

Autumn 2024 | In May 2024, the DTC lost a major contributor and developer. Randy Bullock was a brilliant mathematician and software developer who was instrumental in the creation of tools used by countless DTC visitors and staff, as well as the worldwide community of METplus users. The DTC would like to note our sadness in losing Randy as a colleague and simultaneously celebrate Randy’s contributions, which were extensive.  Read More

Who's Who: Randy Bullock

Autumn 2024 | Randy was a founding member of the METplus team and the primary developer of the Method for Object-based Diagnostic Evaluation (MODE) tool that has become so incredibly popular within the verification community. Randy retired in 2020 just as COVID was settling in and causing chaos in our world. Once the doors to NCAR opened again, he came back to the office as a casual employee to work through problems when the team needed his support and expertise. We lost Randy and all of the talent he brought to our mission on May 27… Read More

Bridges to Operations: The Role of MODE in Operations

Autumn 2024 | Over the sixteen years the Method for Object-Based Diagnostic Evaluation (MODE) tool has been available within the Model Evaluation Tools (MET), operational forecasting centers have explored its utility for informing the model development process and evaluating operational products in meaningful ways. Through this exploration, MODE has provided insightful information for operational implementation decisions and meaningful data about the performance of operational products. MODE has been applied to many different… Read More

Community Connections: Expansion of MODE applications

Autumn 2024 | The Method for Object-based Diagnostic Evaluation, commonly referred to as MODE, was originally developed to address the skill of forecasts of localized episodic phenomena such as rainfall (Davis et al 2006). The inclusion of this technique in the initial release of the Model Evaluation Tools (MET), the verification package developed and supported by the DTC, in 2008 has led to the exploration of an ever broadening application space for this useful tool. In 2009, the DTC collaborated with the NOAA Hydrometeorology… Read More

Did you know?: Multivariate MODE Enhancements

Autumn 2024 | The Method for Object-based Diagnostic Evaluation (MODE), which was originally developed to work with a single forecast and observation input, has been extended to accommodate multiple inputs, known as Multivariate MODE (MvMODE). This extension was first conceptualized to analyze complex objects such as dry lines. MvMODE has been adapted to identify and assess blizzard-like features, aimed at enhancing feature-driven evaluations of high-impact hydrometeorological events. In addition,… Read More

Software Release: Announcing the CCPP and CCPP SCM v7.0.0 release

2024-09-10 | The Developmental Testbed Center (DTC) is pleased to announce the Common Community Physics Package (CCPP) v7.0.0 public release on September 9, 2024. This release contains the CCPP Physics, a library of physical parameterizations, the CCPP Framework, an infrastructure that connects the physics to host models, and the CCPP Single-Column Model (SCM), a simple host model that employs the CCPP Physics and CCPP Framework. Additional information and access to the code can be found here. The CCPP Physics is envisioned to… Read More

PROUD Award - Excellence in Action: Tara Jensen, Project Manager III, NSF NCAR Research Applications Laboratory (RAL) and the DTC

Performance Recognition for OUtstanding DTC achievements (PROUD) Award for 2024 Q3

2024-08-22 | Tara Jensen is a Project Manager III with the NSF NCAR Research Applications Laboratory who serves as the project manager for the METplus project, co-leads the DTC METplus work — split across NCAR and NOAA nodes, and is also the NCAR Principal Investigator for the majority of the lines of funding that comprise it. The impact of Tara's contributions to the success of the DTC cannot be overstated. Tara’s initial… Read More

Lead Story: Atmospheric rivers (ARs) and the Water in the West Project

Spring 2024 | Atmospheric Rivers (ARs) are large streams of atmospheric moisture that form over the ocean and flow to the coast.  Complex air-sea and land-atmosphere interactions associated with land-falling ARs cause heavy rainfall and flooding, among other harmful consequences across the western U. S. states and further inland. Across the 11 western states, damages average approximately $1B per year with cumulative impacts of ARs for the recent 2022-2023 winter estimated at $4.6B. Read More

Director's Corner: Testing and Evaluation in the Machine-Learning Weather-Prediction Era

Spring 2024 | Can data-driven weather prediction models, in which artificial-intelligence methods are used to train algorithms for predicting specific weather elements to a desired lead time, be competitive with state-of-the-art dynamical-core and parameterized-physics numerical weather prediction models? Thanks to recent rapid advances in the field of data-driven weather prediction, what was a pipe dream just a few years ago now seems inevitable, particularly on the synoptic scale. Read More

Who's Who: Gopa Padmanabhan

Spring 2024 | Gopakumar Padmanabhan (Gopa) is a software engineer on the GSL Verification team. His primary role is team lead for the group that evaluates and migrates to the next-generation database platforms.  Gopa previously served GSL in the role of architect developing solar X-ray-image (SXI) displays and related software. Before joining the GSL verification team, Gopa worked at NOAA’s Space Weather Prediction Center… Read More

Bridges to Operations: Application of the Common Community Physics Package (CCPP) to the UFS-AQM Online System-based AQMv7 Implementation

Spring 2024 | The Environmental Modeling Center (EMC) at the National Centers for Environmental Prediction (NCEP), in collaboration with the Air Resource Laboratory (ARL) and the Global Systems Laboratory (GSL), Physical Sciences Laboratory (PSL) and Chemical Sciences Laboratory (CSL) under NOAA’s Oceanic and Atmospheric Research (OAR), developed an advanced regional air-quality modeling system (AQM) within the framework of the Unified Forecast System (UFS) to enhance fire-emissions representation… Read More

Visitors: Evaluation of the impact of different microphysics scheme on HAFS model microphysics forecasts using GOES-R infrared images

Spring 2024 | The National Oceanic and Atmospheric Administration (NOAA) has developed a new Hurricane Analysis and Forecast System (HAFS) to improve tropical cyclone prediction. Two configurations of HAFS, HAFSv1a (HFSA) and HAFSv1b (HFSB), have been operational  since 2023. The main difference between these configurations is their microphysics schemes, which are expected to significantly influence their ability to predict clouds, hydrometeors and rainfall from tropical cyclones. Read More

Community Connections: METplus Community Contributes Valuable Feedback For Improving Online Documentation

Spring 2024 | In response to feedback from the DTC’s Science Advisory Board, a METplus focus group was formed from respondents to an email request to METplus community members. They were tasked with increasing the accessibility of METplus across its user base, with a special focus on first-time users and those who may be discovering METplus through academic avenues. Input was gathered from focus-group members via questionnaires, surveys, group discussions, and practice exercises using real-world… Read More