Quantifying Precipitation Uncertainty for Land Data Assimilation Applications
Ensemble-based data assimilation techniques are often applied to land surface models in order to estimate components of terrestrial water and energy balance. Precipitation forcing uncertainty is the principal source of spread among the ensembles that is required for utilizing information in observat...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
American Meteorological Society
2016
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| Online Access: | http://hdl.handle.net/1721.1/101396 https://orcid.org/0000-0001-5662-3643 https://orcid.org/0000-0002-8362-4761 |