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: | Entekhabi, Dara (Contributor), Alemohammad, Hamed (Contributor), McLaughlin, Dennis (Contributor) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering (Contributor) |
Format: | Article |
Language: | English |
Published: |
American Meteorological Society,
2016-03-02T02:19:24Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Evaluation of Long-Term SSM/I-Based Precipitation Records over Land
by: Entekhabi, Dara, et al.
Published: (2015) -
Using data assimilation to identify diffuse recharge mechanisms from chemical and physical data in the unsaturated zone
by: Ng, Gene-Hua Crystal, et al.
Published: (2013) -
A Multiscale Ensemble Filtering System for Hydrologic Data Assimilation. Part I: Implementation and Synthetic Experiment
by: McLaughlin, Dennis, et al.
Published: (2010) -
Characterization of uncertainty in remotely-sensed precipitation estimates
by: Alemohammad, Seyed Hamed
Published: (2015) -
Estimating the uncertainty of areal precipitation using data assimilation
by: C. Merker, et al.
Published: (2019-01-01)