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- aggregation classification "A1".
- aggregation creator B437931.
- aggregation creator B437932.
- aggregation creator B437933.
- aggregation creator B437934.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 1995670.bibtex.
- aggregation hasFormat 1995670.csv.
- aggregation hasFormat 1995670.dc.
- aggregation hasFormat 1995670.didl.
- aggregation hasFormat 1995670.doc.
- aggregation hasFormat 1995670.json.
- aggregation hasFormat 1995670.mets.
- aggregation hasFormat 1995670.mods.
- aggregation hasFormat 1995670.rdf.
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- aggregation hasFormat 1995670.txt.
- aggregation hasFormat 1995670.xls.
- aggregation hasFormat 1995670.yaml.
- aggregation isPartOf urn:issn:0043-1397.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Earth and Environmental Sciences".
- aggregation title "Multiscale assimilation of Advanced Microwave Scanning Radiometer–EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado".
- aggregation abstract "Eight years (2002–2010) of Advanced Microwave Scanning Radiometer–EOS (AMSR-E) snow water equivalent (SWE) retrievals and Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover fraction (SCF) observations are assimilated separately or jointly into the Noah land surface model over a domain in Northern Colorado. A multiscale ensemble Kalman filter (EnKF) is used, supplemented with a rule-based update. The satellite data are either left unscaled or are scaled for anomaly assimilation. The results are validated against in situ observations at 14 high-elevation Snowpack Telemetry (SNOTEL) sites with typically deep snow and at 4 lower-elevation Cooperative Observer Program (COOP) sites. Assimilation of coarse-scale AMSR-E SWE and fine-scale MODIS SCF observations both result in realistic spatial SWE patterns. At COOP sites with shallow snowpacks, AMSR-E SWE and MODIS SCF data assimilation are beneficial separately, and joint SWE and SCF assimilation yields significantly improved root-mean-square error and correlation values for scaled and unscaled data assimilation. In areas of deep snow where the SNOTEL sites are located, however, AMSR-E retrievals are typically biased low and assimilation without prior scaling leads to degraded SWE estimates. Anomaly SWE assimilation could not improve the interannual SWE variations in the assimilation results because the AMSR-E retrievals lack realistic interannual variability in deep snowpacks. SCF assimilation has only a marginal impact at the SNOTEL locations because these sites experience extended periods of near-complete snow cover. Across all sites, SCF assimilation improves the timing of the onset of the snow season but without a net improvement of SWE amounts.".
- aggregation authorList BK763910.
- aggregation issue "1".
- aggregation volume "48".
- aggregation aggregates 1995671.
- aggregation isDescribedBy 1995670.
- aggregation similarTo 2011WR010588.
- aggregation similarTo LU-1995670.