edu.ucar.opensky::articles:25844 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T20:01:09.894224 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7rr232f https://doi.org/10.25921/W9VA-Q159 https Related Dataset #1 NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates, Version 1 https://doi.org/10.5065/D65D8PWK https Related Dataset #2 NCEP GFS 0.25 Degree Global Forecast Grids Historical Archive https://doi.org/10.5065/Z83F-N512 https Related Dataset #3 NCEP ADP Global Upper Air and Surface Weather Observations (PREPBUFR format) https://doi.org/10.5281/ZENODO.6784274 https Related Software #1 JEDI-MPAS Data Assimilation System v1.0.0 https://doi.org/10.5281/zenodo.6784274 https Related Software #2 JEDI-MPAS Data Assimilation System v1.0.0 Data assimilation for the model for prediction across scales – atmosphere with the joint effort for data assimilation integration (JEDI-MPAS 1.0.0): EnVar implementation and evaluation 2022-10-26T00:00:00Z publication https://n2t.org/ark:/85065/d7rr232f https://doi.org/10.5194/gmd-15-7859-2022 Liu, Zhiquan author Snyder, Chris author Guerrette, Jonathan author Jung, Byoung-Joo author Ban, Junmei author Vahl, Steven author Wu, Yali author Trémolet, Y. author Auligné, T. author Ménétrier, B. author Shlyaeva, A. author Herbener, S. author Liu, E. author Holdaway, D. author Johnson, B. T. author UCAR/NCAR - Library publisher On 24 September 2021, JEDI-MPAS 1.0.0, a new data assimilation (DA) system for the Model Prediction Across Scales - Atmosphere (MPAS-A) built on the software framework of the Joint Effort for Data assimilation Integration (JEDI) was publicly released for community use. Operating directly on the native MPAS unstructured mesh, JEDI-MPAS capabilities include three-dimensional variational (3DVar) and ensemble-variational (EnVar) schemes as well as the ensemble of DA (EDA) technique. On the observation side, one advanced feature in JEDI-MPAS is the full all-sky approach for satellite radiance DA with the introduction of hydrometeor analysis variables. This paper describes the formulation and implementation of EnVar for JEDI-MPAS. JEDI-MPAS 1.0.0 is evaluated with month-long cycling 3DEnVar experiments with a global 30-60 km dual-resolution configuration. The robustness and credible performance of JEDI-MPAS are demonstrated by establishing a benchmark non-radiance DA experiment, then incrementally adding microwave radiances from three sources: Advanced Microwave Sounding Unit-A (AMSU-A) temperature sounding channels in clear-sky scenes, AMSU-A window channels in all-sky scenes, and Microwave Humidity Sounder (MHS) water vapor channels in clear-sky scenes. JEDI-MPAS 3DEnVar behaves well with a substantial and significant positive impact obtained for almost all aspects of forecast verification when progressively adding more microwave radiance data. In particular, the day 5 forecast of the best-performing JEDI-MPAS experiment yields an anomaly correlation coefficient (ACC) of 0.8 for 500 hPa geopotential height, a gap of roughly a half day when compared to cold-start forecasts initialized from operational analyses of the National Centers for Environmental Prediction, whose ACC does not drop to 0.8 until a lead time of 5.5 d. This indicates JEDI-MPAS's great potential for both research and operations. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation