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Author: Cazzy Medley

Isaac Moradi smiles for the camera, wearing a red gridded button-up and a red tie

Congratulations to Isaac Moradi, Newly Elected Member of the University State Senate

ESSIC/CISESS Research Scientist Isaac Moradi has been elected to the University State Senate as one of the Professional-Track Faculty members. The University Senate, composed of faculty, staff, students, and administrators, is one of the largest and most influential governing bodies at the University of Maryland. As a member of the senate, Moradi will help advise the University President on campus policy matters and concerns, including education, budget, personnel, campus-community, long range plans, facilities, and faculty, staff and student affairs.

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Artificial oyster reefs parallel to the shoreline is a natural way to slow the rate of erosion by catching the wave energy. Credit: USFWS

Innovative Use of Satellite Data Establishes Water Clarity Improvement at Restored Oyster Reefs

Ron Vogel, ESSIC senior faculty specialist, recently co-authored a NOAA Technical Memorandum with colleagues from NOAA’s National Marine Fisheries Service, titled “Using Satellite-Derived Total Suspended Matter Data to Evaluate the Impacts of Tributary-Scale Oyster Restoration on Water Clarity.” In the study, the team sought to explore whether large-scale oyster restoration in the Chesapeake Bay, on the order of 100s of acres, can produce improvements in water clarity that are measurable, and whether satellites can be a tool to help measure that change.

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Figure: Case study of August 11, 2018. Convective/stratiform split of the raining system observed by GPM-core satellite (orbit: 025293). From left to right: (a) PMW-retrieved (GPROF) – a current operational benchmark; (b) Dual-frequency Precipitation Radar-derived product – the truth; (c) Bayesian model prediction ResNetV2; (d) Entropy for the Bayesian model prediction – uncertainty map.

Using Bayesian Deep Learning to Improve Precipitation Retrievals

ESSIC/CISESS Scientist Veljko Petković co-authored a study on the application of new and emerging field of BDL concepts to mitigate problems associated with the accuracy of precipitation retrievals from satellite-borne passive microwave (PMW) radiometers, which was published in IEEE Geoscience and Remote Sensing Letters.

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Figure: A rosette of Niskin (seawater sampling) bottles used to collect discrete water samples at specific, predetermined depths. Instruments for measuring depth, temperature, and conductivity (which helps determine salinity) are inside of the ring near the bottom (not visible). (Photo provided to Jiang et al. by Sabine Mecking of the University of Washington for the publication).

Jiang Leads International Effort to Create New Data Standard for Oceanographic Research

ESSIC/CISESS Scientist Li-Qing Jiang, who works on the Ocean Carbon Acidification Data System (OCADS) project at the National Center for Environmental Information (NCEI), coordinated a massive effort by the international community to develop a best practice data standard for discrete bottle-based chemical oceanographic data. The study, co-authored by ESSIC/CISESS Scientist Alex Kozyr and esteemed scientists at over 30 institutions in 10 countries, was published on January 21st in Frontiers in Marine Science.

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The title slide of the AMS short course

CISESS Presents Two AMS Short Courses

Scott Rudlosky and Joseph Patton led an AMS short course titled “Accessing and Applying Geostationary Lightning Mapper Observations” on January 5 and 6. This two-part course introduced the GLM observations and imagery using GLM flash skeletons and gridded products used by the National Weather Service. Participants were shown how to access archived and real-time imagery before conducting a hands-on exercise illustrating their new-found skills. Additional information can be found at this link: Accessing and Applying Geostationary Lightning Mapper Observations.

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Figure 1 | Flooding in July 2021 caused mass evacuation in Weihui, Henan province, in China.

Extreme Rainfall Slows the Global Economy

Xin-Zhong Liang was recently published in Nature’s “News and Views” section giving his insight on new research that reported a comprehensive assessment of changes in gross regional product (GRP) relating to excessive precipitation. The study concluded that increases in the numbers of wet days and in extreme daily rainfall dramatically reduces worldwide macroeconomic growth rates.

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