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Author: Cazzy Medley

Grand Challenges Team Meets With County Stakeholders

Last week, the Grand Challenges team, led by ESSIC Director Ellen Williams, met with Matt Fleming, Executive Director of the Resilience Authority of Annapolis and Anne Arundel County, to begin a partnership to better understand the climate and environmental issues and priorities of Anne Arundel county and the city of Annapolis.

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Milani Teaches Earth Science Abroad

This month, the 2023 Global Precipitation Measurement Mission (GPM) Mentorship program comes to an end. The project, coordinated by ESSIC Assistant Research Scientist Lisa Milani with the help of colleagues Andrea Portier and Vaso Mantas, involved ten Italian teachers from four different schools. The effort included three lectures about “the Water Cycle”, “Weather and Climate” and “GPM products and applications” and targeted middle- and high-school teachers aiming to apply outreach material in the classroom context. After the three lectures, the teachers involved their students in a practical project applying language, programming and science contents and skills.

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Sampa Das poses for the camera

Sampa Das Receives 2023 Robert H. Goddard Honor Award

ESSIC Research Scientist Sampa Das has been selected as a recipient of the 2023 Robert H. Goddard Honor Award, NASA’s Center-level award selected annually by an awards committee based on the nominations from the peers. Das received an award under the category of “Excellence in Science”. She is one of the 9 individuals selected for 2023 across the Sciences and Exploration Directorate.

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Bull Run flows into Occoquan Drinking water reservoir (Photo by Sujay Kaushal)

A New Way to Monitor Water Quality

A new study led by Earth System Science Interdisciplinary Center (ESSIC) scientist Sujay Kaushal introduces a new way to think about water quality monitoring along urban streams that could help researchers more accurately track pollutants across waterways.

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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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Daily examples for the refined AMSR-2

Improving Soil Moisture Retrieval with AMSR2

ESSIC/CISESS scientist Jifu Yin is the first author on a two-part series published in IEEE Transactions on Geoscience and Remote Sensing on refining the Advanced Microwave Scanning Radiometer 2 (AMSR2) soil moisture retrieval algorithm. The paper’s co-authors include ESSIC scientists Jicheng Liu, Huan Meng and Ralph Ferraro.

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