pa ob snow crystals is formulated. An error model is developed based on the standard error estimation theory. This new algorithm and error water budgets, as a result of its high albedo and thermal and water storage properties. Snow is also the largest varying (Hall et al., 2002), and the snow water...
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| Language: | English |
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| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.500.3163 http://people.eng.unimelb.edu.au/jwalker/papers/rse05-final.pdf |
| Summary: | pa ob snow crystals is formulated. An error model is developed based on the standard error estimation theory. This new algorithm and error water budgets, as a result of its high albedo and thermal and water storage properties. Snow is also the largest varying (Hall et al., 2002), and the snow water equivalent (hereafter referred to as SWE) of mid-latitude snowpacks can be reduced by as much as 100 mm in less than 6 days. well as snow cover Remote Sensing of Environment 94estimation method is applied to the passive microwave data from Special Sensor Microwave/Imager (SSM/I) during the 1990–1991 snow season to produce annotated error maps for North America. The algorithm has been validated for seven snow seasons (from 1988 to 1995) in taiga, tundra, alpine, prairie, and maritime regions of Canada using in situ SWE data from the Meteorological Service of Canada (MSC) and satellite passive microwave observations. An ongoing study is applying this methodology to passive microwave measurements from Scanning Multichannel Microwave Radiometer (SMMR); future study will further refine and extend the analysis globally, and produce an improved SWE dataset of more than 25 years in length by combining SSMR and SSM/I measurements. Published by Elsevier Inc. |
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