Benjamin Scarino – NASA Langley Research Center Science Directorate

Benjamin Scarino (Contractor)

Title: Senior Research Scientist

Technical Focus Area: Climate Science, Applied Science

Study Topics: Satellite instrument inter-calibration, cloud retrieval, satellite-based severe weather identification, land and sea surface temperature measurements, deep learning

Missions/Projects: CERES, LaRC Convective Weather Research

Email: benjamin.r.scarino@nasa.gov

About:

Ben Scarino has over twelve years of experience conducting research in the field of atmospheric science. He is a Senior Research Scientist with Science Systems and Applications, Inc. (SSAI), Hampton, VA, USA, supporting the Climate Science Branch of the NASA Langley Research Center Science Directorate. As part of his work for the Clouds and the Earth’s Radiant Energy System (CERES) Program, he supports the development of global multispectral cloud and surface property retrieval algorithms as well as satellite calibration/validation efforts. He is an expert in meteorology and has extensive experience with scientific analysis and data science. He is a specialist on inter-calibration techniques for Geostationary Earth Orbit (GEO) and Low Earth Orbit (LEO) satellites, as well as on determining corrections for instrument spectral band differences using hyperspectral detectors. Furthermore, he developed a bidirectional reflectance distribution function (BRDF) model used to quantify expected cloud reflectance to facilitate improved satellite-based anvil cloud detection, has worked on machine learning methods of predicting severe weather based on such anvil and overshooting cloud top observations along with numerical weather model reanalysis, and has specialized skill in using GEO and LEO satellite retrievals to derive anisotropy-corrected high-resolution skin temperature data sets.

Publication Bibliography:

Google Scholar

Publications:

A kernel-driven BRDF model to inform satellite-derived visible anvil cloud detection, https://doi.org/10.5194/amt-13-5491-2020

Evaluating the magnitude of VIIRS out-of-band response for varying Earth spectra, https://doi.org/10.3390/rs12193267
Global clear-sky surface skin temperature from multiple satellites using a single-channel algorithm with angular anisotropy corrections https://doi.org/10.5194/amt-10-351-2017
A web-based tool for calculating spectral band difference adjustment factors derived from SCIAMACHY hyperspectral data https://doi.org/10.1109/TGRS.2015.2502904
Retrieving clear-sky surface skin temperature for numerical weather prediction applications from geostationary satellite data https://doi.org/10.3390/rs5010342

Education/Professional Experience:

M.S., Meteorology, The Pennsylvania State University
B.S., Meteorology, The Pennsylvania State University

Need to get in touch with Benjamin Scarino? Fill out the contact form below.