This event has passed. See the seminar recording here: Dr. S. Joseph Munchak Research Meteorologist NASA Goddard Space Flight Center Monday November 2, 2020, 2
This event has passed. See the seminar recording here: Dr. Yongzhen Fan Earth System Science Interdisciplinary Center University of Maryland Monday November 22, 2021, 2
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.
The Snowfall Rate (SFR) team at STAR and ESSIC/CISESS, including Huan Meng, Yongzhen Fan, and Jun Dong, has made some notable progress recently that significantly enhances the product and its accessibility to users.
The STAR scientist team of Huan Meng, Yongzhen Fan, Jun Dong, and Yalei You examined the performance of snowfall estimates from the passive microwave snowfall rate (SFR) product for the late season snowstorm that hit Washington and Oregon on April 13. The storm set the local record for most snow accumulation this late in the season, causing power outages and road closures across Portland, Oregon.
ESSIC/CISESS scientists Yalei You and Sarah Ringerud have a new paper out in IEEE Transactions on Geoscience and Remote Sensing along with University of Minnesota scientists Sajad Vahedizade and Ardeshir Ebtehaj and F. Joseph Turk from Jet Propulsion Laboratory. The paper is titled “Passive Microwave Signatures and Retrieval of High-Latitude Snowfall Over Open Oceans and Sea Ice: Insights From Coincidences of GPM and CloudSat Satellites”. You leads a CISESS task on developing and assessing the NOAA Alaska Regional Snowfall Rate Product.
The first nor’easter of 2022 swept through the Mid-Atlantic and the Northeast on January 2-4, 2022, resulting in a heavy snow accumulation of up to 14 inches in Virginia and southern Maryland and stranding hundreds of drivers on Interstate 95 in Virginia. The NOAA NESDIS Snowfall Rate (SFR) product captured the evolution of the snowstorm with retrievals from the Advanced Technology Microwave Sounder (ATMS) sensor aboard the S-NPP and NOAA-20 satellite missions, and the AMSU-A/MHS sensors aboard NOAA-19, Metop-B, and Metop-C.
ESSIC/CISESS scientists Huan Meng and Yongzhen Fan have recently developed a new machine learning snowfall detection (SD) algorithm, based on eXtreme Gradient Boosting (XGB). The algorithm was developed for the Advanced Technology Microwave Sounder (ATMS) onboard NPP and NOAA-20 as well as the MHS/AMSU-A onboard Metop-A, Metop-B, Metop-C and NOAA-19.
