News
In 2019 JCSDA was awarded a Disaster Relief Appropriations Supplemental (DRAS) grant from NOAA to accelerate JEDI development and integration, with an emphasis on connecting that development to operational use and systems. The main goals were to accelerate towards use in operational NWS production suites, improving R2O and O2R, and advancing tools for use of observations, all of which were accomplished.
Adding MPAS experiments to Skylab not only expands Skylab’s functionality, it also allows the team to check that Skylab is being built to be model-agnostic as intended; JEDI and Skylab are both designed to work with all climate and weather models, requiring only a small amount of model-specific code to interface with each while the vast majority of Skylab and JEDI components are generic and remain the same from model to mod
On September 12-18 JCSDA and COSMIC jointly hosted the 10th meeting of the International Radio Occultation Working Group (IROWG) at UCAR Center Green in Boulder, Colorado. JCSDA’s Hui Shao, co-chair of IROWG, Ben Ruston, the OBS lead, and COSMIC’s director, Jan Weiss, formed the local organizing committee with the support team from UCAR.
On July 18 the JCSDA team met with our partners at NASA, NOAA, US Navy, US Air Force, and the UK Met Office to celebrate the last quarter of accomplishments and discuss goals for the upcoming quarter and year. Q1 milestones included beginning our space weather program and the establishment of a new model interface team.
This week JCSDA’s Eric Lingerfelt gave a 20 minute talk at the International Conference on Computational Science in Malaga, Spain. He presented the Research Repository for Data and Diagnostics (R2D2) component of the Joint Effort for Data Assimilation (JEDI) in the conference’s thematic track “Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks & Applications”.
The Polarized Submillimeter Ice-Cloud Radiometer (PolSIR) is an upcoming NASA satellite mission scheduled for launch in 2027, designed to study the elusive role of ice clouds in Earth’s weather and climate systems. In support of this innovative satellite mission, the PolSIR sensor will be simulated by the Community Radiative Transfer Model (CRTM).
In a recent collaborative effort between the Joint Center for Satellite Data Assimilation (JCSDA) and the Global Modeling and Assimilation Office (GMAO), we have successfully integrated the newly released Level 2 TEMPO NO2 products into the JEDI data assimilation system using the GEOS-CF model at C360/~25km resolution (the background and the analysis are at the same resolution). This initiative demonstrates the enhanced capability to monitor and produce analyses of atmospheric composition less than 24 hours after official product release, focusing on NO2, a significant pollutant and tracer for air quality.
