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Titolo:
A coupled land surface-boundary layer model and its adjoint
Autore:
Margulis, SA; Entekhabi, D;
Indirizzi:
MIT, Ralph M Parsons Lab, Dept Civil & Environm Engn, Cambridge, MA 02139 USA MIT Cambridge MA USA 02139 Civil & Environm Engn, Cambridge, MA 02139 USA
Titolo Testata:
JOURNAL OF HYDROMETEOROLOGY
fascicolo: 3, volume: 2, anno: 2001,
pagine: 274 - 296
SICI:
1525-755X(2001)2:3<274:ACLSLM>2.0.ZU;2-F
Fonte:
ISI
Lingua:
ENG
Soggetto:
VARIATIONAL DATA ASSIMILATION; LEVEL ATMOSPHERIC PARAMETERS; GENERAL-CIRCULATION MODEL; FORCE-RESTORE METHOD; SENSITIVITY ANALYSIS; SOIL-MOISTURE; METEOROLOGICAL OBSERVATIONS; PHYSICAL PROCESSES; TEMPERATURE; PREDICTION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
56
Recensione:
Indirizzi per estratti:
Indirizzo: Entekhabi, D MIT, Ralph M Parsons Lab, Dept Civil & Environm Engn, Room 48-331, Cambridge, MA 02139 USA MIT Room 48-331 Cambridge MA USA 02139 ambridge, MA 02139 USA
Citazione:
S.A. Margulis e D. Entekhabi, "A coupled land surface-boundary layer model and its adjoint", J HYDROMETE, 2(3), 2001, pp. 274-296

Abstract

In this paper, a simple coupled land surface-boundary layer model and its adjoint are presented. The primary goal is to demonstrate the capabilities of the adjoint model as a general tool for sensitivity analysis and data assimilation. The adjoint method was chosen primarily for two reasons: 1) theadjoint model can be used not only to obtain parameter sensitivities with greater efficiency but, more important, to provide added insight into the sensitivities as compared with that obtained with traditional simulation techniques (e.g., pathways, time variations in sensitivity) and 2) the adjointmodel can be used in a variational data assimilation framework to combine measurements and the model of the physical system optimally in order to estimate state variables and fluxes. Two simple examples are presented to illustrate how the framework can be used for performing both diagnostic sensitivity experiments and hydrologic data assimilation. In the sensitivity experiment, temporal patterns and total influence of model states and parameterson average daily ground temperature are shown. In the synthetic data assimilation example, the adjoint model is used as an estimation tool to initialize the coupled model through assimilation of ground temperature observations. As a result, great improvement was gained in simulation of model statesand surface fluxes based only on a minimal set of basic land temperature measurements and the auxiliary parameters: incident solar radiation, large-scale wind speed, and free atmosphere profiles of temperature and humidity. Forthcoming studies will use the framework developed here to examine thoroughly the consequences of using uncoupled versus coupled models of the land and the atmospheric boundary layer (ABL). In assimilation mode, the coupledsurface-ABL model and its adjoint will be used to estimate surface fluxes and micrometeorological conditions based on remote sensing measurements of land temperature and minimal auxiliary data.

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Documento generato il 04/04/20 alle ore 11:41:49