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”.
Tag: veljko petkovic
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.
AMSR2 Precipitation Product During Mawar’s Landfall in Guam
Evaluation of Snowfall Retrieval Performance of GPM Constellation Radiometers Relative to Spaceborne Radars
Several current and former ESSIC/CISESS scientists are co-authors on a new paper in Journal of Hydrometeorology titled “Evaluation of Snowfall Retrieval Performance of GPM Constellation Radiometers Relative to Spaceborne Radars”. Former ESSIC scientist Yalei You was first author on the paper. Current ESSIC/CISESS scientists on the paper are Veljko Petkovic, Lisa Milani, John Yang, and Guojun Gu.
Tropical Storm Fiona struck Puerto Rico on September 17-18, 2022 causing catastrophic floods and leaving most of the island with a major power outage. Fiona is the first Atlantic storm this season to cause a major disaster. NPreciSe (NOAA Satellite Precipitation Validation System) led by the CISESS science team (Malar Arulraj, Veljko Petkovic, Ralph Ferraro, and Huan Meng), evaluated the performance of the Ensemble Tropical Rainfall Potential (eTRaP) forecasts during this event, using a recently added Multi-Radar/Multi-Sensor (MRMS) observation product over Caribbean Islands.
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.
On August 18, 2021, the western part of North Carolina suffered a catastrophic flash flood caused by Tropical Storm Fred. As part of a NOAA/STAR precipitation validation project, CISESS science team Malar Arulraj, Veljko Petković, Ralph Ferraro, and Huan Meng evaluated the performance of different satellite-based precipitation products during this event using Multi-Radar/Multi-Sensor (MRMS) observations.
Several ESSIC/CISESS scientists including Malarvizhi Arulraj, Jifu Yin, Christopher Grassotti, Veljko Petkovic collaborated on a multi-author, two-part study led by Douglas Miller, Professor of Atmospheric Sciences at the University of North Carolina, Asheville.
Veljko Petkovic, ESSIC/CISESS Assistant Research Scientist, is a primary convener for the AGU Fall Meeting 2021 session on Machine Learning applications on precipitation processes. This session, titled “Precipitation Through the Eyes of Machine Learning and Advanced Statistics: Remote Sensing, Uncertainties and Variability” will highlight contributions on precipitation-related AI/ML studies seeking physical implications, model interpretations, visualizations, remote sensing applications and uncertainty analyses that can identify novel elements in understanding of precipitation processes.