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Retrieval of Land Surface Model State Variables through Assimilating Screen Level Humidity and Temperature Measurements
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-31
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
This study demonstrates successful variational retrieval of land surface states by assimilating screen level atmospheric measurements of specific humidity and air temperature.
To this end, the land surface scheme is first validated against the Oklahoma Atmospheric Surface Layer Instrumentation System measurements with necessary refinements to the forward model implemented.
The retrieval scheme involves a 1D land surface-atmosphere model, the corresponding adjoint codes, and a cost function that measures residuals between observed and modeled screen level atmospheric temperature and specific humidity.
The retrieval scheme is robust when subjected to observational errors with magnitudes comparable to instrument accuracy and for initial guess errors larger than typical model forecast errors.
Using varying assimilation window lengths centered on different periods of a day, the sampling strategy is assessed.
The daytime observations are more informative compared to nocturnal observations.
An assimilation window as narrow as four hours, if centered on local noon, contains comparable information to an expanded window covering the whole day.
There exists an optimal assimilation window length resulting from the contest between degrading forecast accuracy and increasing information content.
For an assimilation window less than two days, the “optimal” assimilation window length is inversely proportional to the data ingesting frequency.
American Psychological Association (APA)
Ren, Diandong& Xue, Ming. 2016. Retrieval of Land Surface Model State Variables through Assimilating Screen Level Humidity and Temperature Measurements. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-20.
https://search.emarefa.net/detail/BIM-1095371
Modern Language Association (MLA)
Ren, Diandong& Xue, Ming. Retrieval of Land Surface Model State Variables through Assimilating Screen Level Humidity and Temperature Measurements. Advances in Meteorology No. 2016 (2016), pp.1-20.
https://search.emarefa.net/detail/BIM-1095371
American Medical Association (AMA)
Ren, Diandong& Xue, Ming. Retrieval of Land Surface Model State Variables through Assimilating Screen Level Humidity and Temperature Measurements. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-20.
https://search.emarefa.net/detail/BIM-1095371
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095371