Conditioning Stochastic Rainfall Replicates on Remote Sensing Data
Temporally and spatially variable rainfall replicates are frequently required in hydrologic applications of ensemble forecasting and data assimilation. Ensemble methods can be expected to work better when the rainfall replicates more closely resemble observed storms. In particular, the replicates sh...
Main Authors: | Entekhabi, Dara, Wojcik, Rafal, McLaughlin, Dennis, Konings, Alexandra G. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers, IEEE Geoscience and Remote Sensing Society
2010
|
Online Access: | http://hdl.handle.net/1721.1/60256 https://orcid.org/0000-0002-2810-1722 https://orcid.org/0000-0002-8362-4761 |
Similar Items
-
Quantifying Precipitation Uncertainty for Land Data Assimilation Applications
by: Entekhabi, Dara, et al.
Published: (2016) -
Agnostic Testing Kiosk for Remote Vitals Sensing
by: McLaughlin, Randy M.
Published: (2024) -
Microwave remote sensing of water in the soil - plant system
by: Konings, Alexandra Georges
Published: (2016) -
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)