The global transition towards a low-carbon future could substantially accelerate hydropower deployment in ecologically sensitive rivers, according to a new study led by researchers at the University of Maryland’s Earth System Science Interdisciplinary Center (ESSIC) in collaboration with Pacific Northwest National Lab (PNNL)’s Joint Global Change Research Institute (JGCRI) and Tufts University. Published in Nature Sustainability, the paper analyzes the future hydropower expansion in the world’s 20 most ecologically sensitive rivers under different socio-economic and energy sector development scenarios.
Tag: Numerical Modeling and Data Assimilation
Isaac Moradi, a research scientist and lead of the ESSIC numerical modeling and data assimilation affinity group, has been appointed as a member of the AMS Radio Frequency Allocation Committee, bringing invaluable expertise in microwave and radar observations and their role in weather predictions. The committee focuses on coordinating radio frequency spectrum management crucial to weather, water, and climate services. It serves a pivotal role in evaluating how spectrum policy changes might impact meteorological data collection and distribution. Moradi’s career, marked by advancements in data assimilation and numerical modeling through enhancing radiative transfer models, observations error analysis, improving the data assimilation systems for assimilating these observations, and developing advanced calibration techniques for satellite data, aligns seamlessly with the committee’s mission.
The data and tools one needs for wind observation research all in one place.
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.
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”.
The Community Radiative Transfer Model (CRTM): Community-Focused Collaborative Model Development Accelerating Research to Operations
Isaac Moradi is the co-author of a paper entitled “The Community Radiative Transfer Model (CRTM): Community-Focused Collaborative Model Development Accelerating Research to Operations” published in Bulletin of the American Meteorological Society.
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.
The DAWN tools will enable producers and specialists to improve water use and nutrient management in agricultural operations
ESSIC Scientists to Address Climate Change, Predict Future COVID Variants, and Remediate Methane with Grand Challenges Grants
The University of Maryland today awarded $30 million to 50 projects through its Grand Challenges Grants Program, an institution-wide initiative to tackle major societal issues.
The College of Computer, Mathematical, and Natural Sciences (CMNS) received 16 Grand Challenges grants, five of which include ESSIC scientists.