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GlobSnow

Global Snow Monitoring for Climate Research

The aim of the ESA DUE GlobSnow project is the production of global long term records of snow parameters intended for climate research purposes on hemispherical scale.
- Information on two essential snow parameters are available: snow water equivalent (SWE) and fractional snow extent (SE), provided for a period of 30+ years and 15+ years respectively.
- Demonstration of a Near Real Time snow mapping service has been on-going since October 2010.
Global areal snow extent -product (SE): The areal snow extent product will be based on satellite-based optical data. It will include daily, weekly and monthly snow extent maps produced for Northern and Souther Hemispheres, excluding glaciers, Greenland, Antarctica and snow on ice (lakes/seas/oceans). Main features for SE: The long term SE data set will be generated for the years 1995 - 2010 The snow cover maps are produced as daily, weekly and monthly composites ESA ERS-2 ATSR-2 and Envisat AATSR data are the main employed data sources Areas with seasonal snow cover on both Northern and Southern Hemispheres are covered The SE maps will be generated using WGS84 projection and a 0.01 degree (approx. 1km) spatial resolution Demonstration of an operational near-real time SE mapping service will be conducted out at a later stage of the project
Snow water equivalent -product (SWE): The snow water equivalent product will be based on the combination of satellite-based microwave radiometer and ground-based weather station data. Main features for SWE: The long term SWE data set will span the years 1978 - 2010 The snow cover maps are produced as daily, weekly and monthly composites Nimbus-7 SMMR, DMSP SSM/I and Aqua AMSR-E are the main data sources, SSM/I for 1987 - 2002, AMSR-E for 2002-2010 Non-mountainous areas of Northern Hemisphere are covered The SWE maps will be generated using EASE-Grid projection and a 25km spatial resolution Demonstration of an operational near-real time SWE mapping service will be initiated on October 2010 The long term datasets and the service are openly available via website.