Spatio-temporal prediction of snow cover in the Black Forest mountain range using remote sensing and a recurrent neural network

International Journal of Climatology

Volumn 30, Issue 15, 2010, Pages 2330-2341

  Sauter, Tobias ^a   Weitzenkamp, Björn ^a   Schneider, Christoph ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Black Forest; Climate change; Downscaling; Germany; Recurrent neural network; Skiing; Snow cover prediction; Snow pattern

Indexed keywords

BLACK FOREST; DOWN-SCALING; GERMANY; SKIING; SNOW COVER PREDICTION; SNOW PATTERN;

CLIMATE CHANGE; DECISION MAKING; FORECASTING; GEOGRAPHIC INFORMATION SYSTEMS; LANDFORMS; RADIOMETERS; RECURRENT NEURAL NETWORKS; REGIONAL PLANNING; REMOTE SENSING; SATELLITE IMAGERY;

SNOW MAKING;

ARTIFICIAL NEURAL NETWORK; CLIMATE PREDICTION; DECISION MAKING; GIS; INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE; MODIS; REMOTE SENSING; SNOW COVER; SPATIAL RESOLUTION; SPATIOTEMPORAL ANALYSIS;

BADEN-WURTTEMBERG; BLACK FOREST; GERMANY;

EID: 78649608212     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.2043     Document Type: Article

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