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Lead Story: In Memoriam - Tara Jensen

Contributed by Louisa Nance (DTC Director and NSF NCAR) based on information provided by DTC staff and the broader community
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. Central to all of these activities was the application of MET and demonstration of the utility of its advanced verification methods, including the Method for Object-based Diagnostic Evaluation (MODE). From the beginning, Tara demonstrated her passion for significantly impacting the outcome of each project and developing into a verification expert.

In 2014, Tara became the lead for the DTC’s Verification Task, which was charged with the continued development and support of MET. Initial development of MET was supported by the United States Air Force (USAF), with some additional support from NSF NCAR and NOAA, but at that time MET was primarily used internally by the DTC. With encouragement from Bill Lapenta, who was the Director of the National Centers for Environmental Prediction (NCEP), Tara promoted the adoption of MET by the NOAA Environmental Modeling Center (EMC) and then more broadly within NOAA. Tara’s enthusiasm and dedication quickly led to greater visibility of MET and wider interest in this community software package. Under Tara’s leadership, MET became the statistical engine of the larger enhanced Model Evaluation Tools (METplus) system. With MET at its core, METplus also contains low-level Python-based automation scripts, Python-based analysis and plotting tools, interactive visualization software, scientifically-relevant use cases, and extensive documentation. METplus is the cornerstone of DTC testing and evaluation projects. In addition, DTC partners have adopted METplus to power their operational verification systems, including NOAA with their EMC Verification System (EVS) and within the USAF’s 557th Weather Wing.

Under Tara’s leadership, MET became the statistical engine of the larger enhanced Model Evaluation Tools (METplus) system.

Engagement with key players within NCEP was essential to attaining NOAA’s buy-in for METplus. Members of EMC’s verification team attest that it was Tara’s vision for the entire weather enterprise, along with support from Tara and the METplus team, that helped EMC pivot from home-grown verification codes to METplus’ “masterfully written code”. Now that the EMC Verification System (EVS), which has METplus at its core, has been implemented in operations, METplus is playing a critical role in the model evaluation and upgrade process at NOAA. Her EMC colleagues commented on how they will miss her joyous and optimistic spirit and will always remember her kindness, leadership, commitment and passion for work.

Tara teaching at one of many workshops

Tara’s contributions to our community have been acknowledged through well-deserved awards.  Under Tara’s leadership, the MET and METplus teams won UCAR’s Scientific and/or Technical Advancement in 2010 and 2022, respectively. In 2024, Tara received the American Meteorological Society (AMS) Scientific and Technological Activities Commision (STAC) Outstanding Service Award from the AMS Probability and Statistics Committee for her vast contributions to statistical verification tools in operational meteorology and exhibiting exceptional dedication, expertise, and mentorship. Tara also received the Performance Recognition for Outstanding DTC (PROUD) Achievements Award for her visionary leadership and her relentless dedication to the success of METplus in August 2024.

Tara’s impacts on our community are far and wide and she will be dearly missed!

Tara Jensen