i
The Efficiency of Data Assimilation
-
2018
-
-
Source: Water Resources Research 54(9), 6374-6392, 2018
Details:
-
Journal Title:Water Resources Research
-
Personal Author:
-
NOAA Program & Office:
-
Description:Data assimilation is the application of Bayes' theorem to condition the states of a dynamical systems model on observations. Any real-world application of Bayes' theorem is approximate, and therefore, we cannot expect that data assimilation will preserve all of the information available from models and observations. We outline a framework for measuring information in models, observations, and evaluation data in a way that allows us to quantify information loss during (necessarily imperfect) data assimilation. This facilitates quantitative analysis of trade-offs between improving (usually expensive) remote sensing observing systems versus improving data assimilation design and implementation. We demonstrate this methodology on a previously published application of the ensemble Kalman filter used to assimilate remote sensing soil moisture retrievals from Advanced Microwave Scattering Radiometer for Earth (AMSR-E) into the Noah land surface model.
-
Keywords:
-
Source:Water Resources Research 54(9), 6374-6392, 2018
-
DOI:
-
Pubmed Central ID:PMC6295921
-
Document Type:
-
Rights Information:Other
-
Compliance:PMC
-
Main Document Checksum:
-
Download URL:
-
File Type: