ESSIC/CISESS scientists Malarvizhi Arulraj, Veljko Petkovic, Ralph R. Ferraro, and Huan Meng have a new study out in Journal of Hydrometeorology titled, “Precipitation Vertical Structure Characterization: A Feature-Based Approach”.
ESSIC/CISESS Scientists Veljko Petković, Malarvizhi Arulraj, and CISESS Summer Intern Vesta Gorooh (UCI PhD student) have a new article in the November issue of the Journal of Hydrometeorology. The article describes the use of machine learning techniques to improve the retrieval of surface precipitation from passive meteorological sensors aboard geosynchronous Earth-orbiting (GEO) and low Earth-orbiting (LEO) satellites.
Veljko Petković is first author on a new paper in Journal of Applied Meteorology and Climatology titled, “Can We Estimate the Uncertainty Level of Satellite Long-Term Precipitation Records?”.
This event has passed. See the seminar recording here: Prof. Paul O’Gorman Professor of Atmospheric Science Massachusetts Institute of Technology Tuesday October 12, 2021,
Prof. Courtney Schumacher Department of Atmospheric Sciences Texas A&M University Monday September 26, 2022, 2 PM ET Abstract: Convective and stratiform precipitation form through
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.
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.
AMSR2 Precipitation Product During Mawar’s Landfall in Guam
Satellite observations provide the only means for snowfall detection and snowfall intensity estimation on a global scale.
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.
