Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 9
Articles | Volume 17, issue 9
https://doi.org/10.5194/gmd-17-3879-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-3879-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 9
Development and technical paper
 | 
15 May 2024
Development and technical paper |  | 15 May 2024

Three-dimensional variational assimilation with a multivariate background error covariance for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta)

Byoung-Joo Jung, Benjamin Ménétrier, Chris Snyder, Zhiquan Liu, Jonathan J. Guerrette, Junmei Ban, Ivette Hernández Baños, Yonggang G. Yu, and William C. Skamarock

Data sets

NCEP ADP Global Upper Air and Surface Weather Observations (PREPBUFR format) National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce https://doi.org/10.5065/Z83F-N512

NCEP GDAS Satellite Data 2004-continuing National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce https://doi.org/10.5065/DWYZ-Q852

NCEP GFS 0.25 Degree Global Forecast Grids Historical Archive National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce https://doi.org/10.5065/D65D8PWK

Global Ensemble Forecast System (GEFS) NOAA https://www.ncei.noaa.gov/products/weather-climate-models/global-ensemble-forecast

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

TROPOMI Level 2 Nitrogen Dioxide total column products, Version 02 Copernicus Sentinel-5P https://doi.org/10.5270/S5P-9bnp8q8

Model code and software

JEDI-MPAS Data Assimilation System v2.0.0-beta Joint Center for Satellite Data Assimilation and National Center for Atmospheric Research https://doi.org/10.5281/zenodo.7630054

Download
Short summary
We describe the multivariate static background error covariance (B) for the JEDI-MPAS 3D-Var data assimilation system. With tuned B parameters, the multivariate B gives physically balanced analysis increment fields in the single-observation test framework. In the month-long cycling experiment with a global 60 km mesh, 3D-Var with static B performs stably. Due to its simple workflow and minimal computational requirements, JEDI-MPAS 3D-Var can be useful for the research community.
Read more