Global intercomparison of 12 land surface heat flux estimates

被引：313

作者：

Jimenez, C. ^{[1
]}

Prigent, C. ^{[1
]}

Mueller, B. ^{[9
]}

Seneviratne, S. I. ^{[9
]}

McCabe, M. F. ^{[8
]}

Wood, E. F. ^{[13
]}

Rossow, W. B. ^{[12
]}

Balsamo, G. ^{[2
]}

Betts, A. K. ^{[3
]}

Dirmeyer, P. A. ^{[4
]}

Fisher, J. B. ^{[5
]}

Jung, M. ^{[6
]}

Kanamitsu, M. ^{[7
]}

Reichle, R. H. ^{[10
]}

Reichstein, M. ^{[6
]}

Rodell, M. ^{[11
]}

Sheffield, J. ^{[13
]}

Tu, K. ^{[14
]}

Wang, K. ^{[15
]}

机构：

[1] Observ Paris, CNRS, Lab Etud Rayonnement & Matiere Astrophys, F-75014 Paris, France

[2] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England

[3] Atmospher Res, Pittsford, VT 05763 USA

[4] Ctr Ocean Land Atmosphere Studies, Calverton, MD 20705 USA

[5] Univ Oxford, Sch Geog & Environm, Environm Change Inst, Oxford OX1 3QI, England

[6] Max Planck Inst Biogeochem, D-07745 Jena, Germany

[7] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92037 USA

[8] Univ New S Wales, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia

[9] ETH, Inst Atmospher & Climate Sci, CH-8092 Zurich, Switzerland

[10] NASA, Goddard Space Flight Ctr, Global Modeling & Assimilat Off, Greenbelt, MD 20771 USA

[11] NASA, Goddard Space Flight Ctr, Hydrol Sci Branch, Greenbelt, MD 20771 USA

[12] CUNY City Coll, NOAA Cooperat Remote Sensing Sci & Technol Ctr, New York, NY 10031 USA

[13] Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA

[14] Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94720 USA

[15] Univ Texas Austin, Dept Geol Sci, Austin, TX 78712 USA

来源：

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES | 2011年 / 116卷

关键词：

NET ECOSYSTEM EXCHANGE; ATMOSPHERE WATER FLUX; SPACE-TIME CLIMATE; ISLSCP-II DATA; SOIL-MOISTURE; SATELLITE-OBSERVATIONS; ECMWF MODEL; EVAPOTRANSPIRATION; VEGETATION; EVAPORATION;

D O I：

10.1029/2010JD014545

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

A global intercomparison of 12 monthly mean land surface heat flux products for the period 1993-1995 is presented. The intercomparison includes some of the first emerging global satellite-based products (developed at Paris Observatory, Max Planck Institute for Biogeochemistry, University of California Berkeley, University of Maryland, and Princeton University) and examples of fluxes produced by reanalyses (ERA-Interim, MERRA, NCEP-DOE) and off-line land surface models (GSWP-2, GLDAS CLM/Mosaic/Noah). An intercomparison of the global latent heat flux (Q(le)) annual means shows a spread of similar to 20 W m(-2) (all-product global average of similar to 45 W m(-2)). A similar spread is observed for the sensible (Q(h)) and net radiative (R-n) fluxes. In general, the products correlate well with each other, helped by the large seasonal variability and common forcing data for some of the products. Expected spatial distributions related to the major climatic regimes and geographical features are reproduced by all products. Nevertheless, large Q(le) and Q(h) absolute differences are also observed. The fluxes were spatially averaged for 10 vegetation classes. The larger Q(le) differences were observed for the rain forest but, when normalized by mean fluxes, the differences were comparable to other classes. In general, the correlations between Q(le) and R-n were higher for the satellite-based products compared with the reanalyses and off-line models. The fluxes were also averaged for 10 selected basins. The seasonality was generally well captured by all products, but large differences in the flux partitioning were observed for some products and basins.

引用

页数：27

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