|8800 Greenbelt Rd, Bldg 33 Rm C327|
|Greenbelt, MD 20771|
• satellite remote sensing of precipitation
• relationship between clouds, convection, and precipitation
• the Global Precipitation Measurement (GPM) mission
• the Integrated Multi-satellitE Retrievals for GPM (IMERG) dataset
• ISCCP and MODIS cloud regimes / weather states
Dr. Tan's work focuses on improving the observation of global precipitation using spaceborne instruments and advancing our understanding of processes related to clouds and precipitation. Currently, he is working on NASA's Global Precipitation Measurement (GPM) mission, refining the algorithm for the Integrated Multi-satellitE Retrievals for GPM (IMERG) dataset, which is the leading GPM product that provides precipitation estimates globally at 0.1° every half-hour. He is also involved in the development of a ISCCP-MODIS unified weather states—a combination of the cloud regime concept applied to both datasets—to create a long-term, high quality categorization of cloud fields.
Prior to his current position, he was a NASA Postdoctoral Program fellow under Dr Lazaros Oreopoulos and Dr Walter A. Petersen from 2014 to 2017. His work centered on the evaluation of GPM precipitation datasets and investigating the relationship between precipitation and clouds using satellite observations.
He received his Ph.D. from Monash University in Melbourne, Australia in 2014, with a focus on exploring the properties of tropical convection through cloud observations. He also has a M.Sc. in Earth Physics from the Australian National University (2010) and a B.Sc. (Hon.) in Physics from the National University of Singapore (2009).