NOAA NESDIS global automated satellite-based snow mapping system and products

Peter Romanov

doi:10.1117/12.2228224

5 May 2016 NOAA NESDIS global automated satellite-based snow mapping system and products

Peter Romanov

Proceedings Volume 9877, Land Surface and Cryosphere Remote Sensing III; 987712 (2016) https://doi.org/10.1117/12.2228224
Event: SPIE Asia-Pacific Remote Sensing, 2016, New Delhi, India

Abstract

Accurate, timely and spatially detailed information on the snow cover distribution and on the snow pack properties is needed in various research and practical applications including numerical weather prediction, climate modeling, river runoff estimates and flood forecasts. Owing to the wide area coverage, high spatial resolution and short repeat cycle of observations satellites present one of the key components of the global snow and ice cover monitoring system. The Global Multisensor Automated Snow and Ice Mapping System (GMASI) has been developed at the request of NOAA National Weather Service (NWS) and NOAA National Ice Center (NIC) to facilitate NOAA operational monitoring of snow and ice cover and to provide information on snow and ice for use in NWP models. Since 2006 the system has been routinely generating daily snow and ice cover maps using combined observations in the visible/infrared and in the microwave from operational meteorological satellites. The output product provides continuous (gap free) characterization of the global snow and ice cover distribution at 4 km spatial resolution. The paper presents a basic description of the snow and ice mapping algorithms incorporated in the system as well as of the product generated with GMASI. It explains the approach used to validate the derived snow and ice maps and provides the results of their accuracy assessment.

Citation Download Citation

Peter Romanov "NOAA NESDIS global automated satellite-based snow mapping system and products", Proc. SPIE 9877, Land Surface and Cryosphere Remote Sensing III, 987712 (5 May 2016); https://doi.org/10.1117/12.2228224

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