J
James L. Foster
Researcher at Goddard Space Flight Center
Publications - 105
Citations - 5730
James L. Foster is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Snow & Snowpack. The author has an hindex of 36, co-authored 105 publications receiving 5297 citations.
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Journal ArticleDOI
Nimbus-7 SMMR Derived Global Snow Cover Parameters
TL;DR: In this article, the authors compared the accuracy of the three products, namely, SMMR, NOAA/NESDIS and USAFGWC, and concluded that the results of the comparisons are good for uniform snow covered areas, such as the Canadian high plains and the Russian steppes.
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A prototype AMSR-E global snow area and snow depth algorithm
TL;DR: A methodologically simple approach to estimate snow depth from spaceborne microwave instruments is described and will be developed further and implemented for use with the Advanced Microwave Scanning Radiometer-Earth Observing System aboard Aqua.
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Quantifying the uncertainty in passive microwave snow water equivalent observations
James L. Foster,Chaojiao Sun,Chaojiao Sun,Jeffrey P. Walker,R.E.J. Kelly,R.E.J. Kelly,Alfred T. C. Chang,Jiarui Dong,Jiarui Dong,Hugh Powell,Hugh Powell +10 more
TL;DR: In this paper, a time-evolving retrieval algorithm that considers the evolution of snow crystals is formulated, and an error model is developed based on the standard error estimation theory, which is applied to the passive microwave data from Special Sensor Microwave/Imager (SSM/I) during 1990-1991 snow season to produce annotated error maps for North America.
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A review of global satellite-derived snow products
Allan Frei,Marco Tedesco,Shihyan Lee,James L. Foster,Dorothy K. Hall,Richard Kelly,David A. Robinson +6 more
TL;DR: In this article, the theoretical underpinnings and characteristics of three key global remotely sensed products are reviewed, and the seasonal and spatial patterns of agreement and disagreement among them are discussed, and current and future directions in their application and development.
Journal ArticleDOI
Comparison of snow mass estimates from a prototype passive microwave snow algorithm, a revised algorithm and a snow depth climatology
TL;DR: In this article, the authors developed separate passive microwave snow algorithms for North America and Eurasia by including parameters that consider the effects of variations in forest cover and crystal size on microwave brightness temperature.