Tag: Numerical Modeling and Data Assimilation

Xin-Zhong Liang Elected as AGU Fellow

Xin-Zhong Liang has been elected Fellow of the American Geophysical Union (AGU). He joins 55 other individuals in the 2023 Class of Fellows. Since 1962, the AGU Union Fellows Committee has selected less than 0.1% of members as new Fellows. AGU, a nonprofit organization that supports 130,000 enthusiasts to experts worldwide in Earth and space sciences, annually recognizes a select number of individuals as part of its Honors and Recognition program.

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Figure 5. (a, b) The analysis RMSE under full-coverage observing network for the atmosphere (a) and ocean (b) with the SC 3D-VAR (green), 4D-Var (blue), 4D-Var/3DFGAT CERA (cyan dash), 40-member ETKF (red), and 20-member ETKF (gray) for the last 1000 d. Time-averaged analysis RMSE for the last 13.7 years for all methods are shown in the figure. Panels (c) and (d) are similar to (a) and (b) except for only assimilating atmosphere observations. Adapted from Penny et al. (2019) and Da (2022).

Towards Strongly Coupled Ensemble Data Assimilation

A team of international researchers led by ESSIC Scientist Distinguished University Professor Eugenia Kalnay and including Dr. Cheng Da recently reviewed their latest research progress on coupled data assimilation in a new paper published in Nonlinear Processes in Geophysics titled, “Review article: Towards strongly coupled ensemble data assimilation with additional improvements from machine learning”.

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Jifu Yin presents “Refinement of NOAA AMSR-2 Soil Moisture Data Product using an Optimal Machine Learning Model”

ESSIC Scientists Present at NCWCP-UMD Mini-Conference

Recently, researchers from NOAA Center for Weather and Climate Prediction (NCWCP) and University of Maryland gathered for a mini-conference to share presentations from recent conferences such as the American Geophysical Union (AGU) and American Meteorological Society (AMS) annual meetings.

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