Computation Record: Computation for: GlobSnow L3B mean STD of 7 day running mean Snow Water Equivalent (SWE) Estimates

Computation

Computation for: GlobSnow L3B mean STD of 7 day running mean Snow Water Equivalent (SWE) Estimates

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Abstract

Statistical error is determined through an adaptive dynamic error propagation approach. For more details see accompanying documents on basic methodology in Pulliainen 2006 (link under docs tab).

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Related Documents

Basic Methodology: Jouni Pulliainen, Mapping of snow water equivalent and snow depth in boreal and sub-arctic zones by assimilating space-borne microwave radiometer data and ground-based observations, Remote Sensing of Environment, Volume 101, Issue 2, 30 March 2006, Pages 257-269, ISSN 0034-4257, http://dx.doi.org/10.1016/j.rse.2006.01.002.
Snowmelt detection: M. Takala, J. Pulliainen, S. J. Metsamaki and J. T. Koskinen, "Detection of Snowmelt Using Spaceborne Microwave Radiometer Data in Eurasia From 1979 to 2007," in IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 9, pp. 2996-3007, Sept. 2009. doi: 10.1109/TGRS.2009.2018442
Implementation: Matias Takala, Kari Luojus, Jouni Pulliainen, Chris Derksen, Juha Lemmetyinen, Juha-Petri Kärnä, Jarkko Koskinen, Bojan Bojkov, Estimating northern hemisphere snow water equivalent for climate research through assimilation of space-borne radiometer data and ground-based measurements, Remote Sensing of Environment, Volume 115, Issue 12, 15 December 2011, Pages 3517-3529, ISSN 0034-4257, http://dx.doi.org/10.1016/j.rse.2011.08.014.
SWE Algorithm Theoretical Basis document

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Computation

Computation for: GlobSnow L3B mean STD of 7 day running mean Snow Water Equivalent (SWE) Estimates

Abstract

Related Documents

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