Comparing the Performance of the Maximum Entropy Production Model With a Land Surface Scheme in Simulating Surface Energy Fluxes

被引:11
作者
Alves, M. [1 ,2 ,3 ]
Music, B. [1 ,2 ]
Nadeau, D. F. [1 ,3 ]
Anctil, F. [1 ,3 ]
机构
[1] Univ Laval, Dept Civil & Water Engn, Quebec City, PQ, Canada
[2] Ouranos Consortium Reg Climatol & Adaptat Climate, Montreal, PQ, Canada
[3] Univ Laval, CentrEau Water Res Ctr, Quebec City, PQ, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
land surface model; surface energy budget; land-atmosphere interaction; turbulent fluxes; energy partitioning; WATER-CONTENT; CARBON; EVAPOTRANSPIRATION; CLIMATE; FOREST; SNOW; HEAT; MOISTURE; PARAMETERIZATION; CIRCULATION;
D O I
10.1029/2018JD029282
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Hydrological projections under future climate change have been shown to be sensitive to the formulation of evapotranspiration. Many hydrological models still rely on empirical formulations of this flux, and hence do not take into account the surface energy budget. On the other hand, land surface schemes, which are used within the climate models to describe land hydrology and associated surface heat fluxes (SHF), rely on the energy conservation. Due to land surface schemes complexity, they are not suitable for integration in traditional hydrological models. A newly developed and relatively simple Maximum Entropy Production model, which operates under the constraint of energy conservation and allows for an appropriate partitioning of available energy into SHF, appears to be a good alternative for integration in hydrological models. However, the MEP's performances still need to be evaluated under various environmental conditions. This study aims to evaluate the SHF simulated by MEP using observations over a multiyear period from several carefully chosen snow-free sites located in low-latitude regions. Moreover, simulated fluxes were compared to those derived from the Canadian Land Surface Scheme (CLASS), which was run at the same sites. The analysis of simulated and observed fluxes associated with different water stress conditions suggests that the abilities of MEP and CLASS in estimating sensible and latent heat fluxes are comparable. It was also found that the MEP and CLASS fluxes are in a good agreement with observations. However, the simulated nocturnal fluxes show that both models are in less agreement with the observations.
引用
收藏
页码:3279 / 3300
页数:22
相关论文
共 83 条
[21]   Productivity and evapotranspiration of two contrasting semiarid ecosystems following the 2011 global carbon land sink anomaly [J].
Cleverly, James ;
Eamus, Derek ;
Van Gorsel, Eva ;
Chen, Chao ;
Rumman, Rizwana ;
Luo, Qunying ;
Coupe, Natalia Restrepo ;
Li, Longhui ;
Kljun, Natascha ;
Faux, Ralph ;
Yu, Qiang ;
Huete, Alfredo .
AGRICULTURAL AND FOREST METEOROLOGY, 2016, 220 :151-159
[22]   Dynamics of component carbon fluxes in a semi-arid Acacia woodland, central Australia [J].
Cleverly, James ;
Boulain, Nicolas ;
Villalobos-Vega, Randol ;
Grant, Nicole ;
Faux, Ralph ;
Wood, Cameron ;
Cook, Peter G. ;
Yu, Qiang ;
Leigh, Andrea ;
Eamus, Derek .
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2013, 118 (03) :1168-1185
[23]   A test of the Canadian Land Surface Scheme (CLASS) for a variety of wetland types [J].
Comer, NT ;
Lafleur, PM ;
Roulet, NT ;
Letts, MG ;
Skarupa, M ;
Verseghy, D .
ATMOSPHERE-OCEAN, 2000, 38 (01) :161-179
[24]  
Didan K, 2015, MOD13Q1 MODIS TERRA, DOI [10.5067/MODIS/MOD13A3.006, DOI 10.5067/MODIS/MOD13Q1.006, 10.5067/MODIS/MOD13Q1.006]
[25]   Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model [J].
Ek, MB ;
Mitchell, KE ;
Lin, Y ;
Rogers, E ;
Grunmann, P ;
Koren, V ;
Gayno, G ;
Tarpley, JD .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D22)
[26]   Bayesian estimation of uncertainty in land surface-atmosphere flux predictions [J].
Franks, SW ;
Beven, KJ .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1997, 102 (D20) :23991-23999
[27]   Actual evapotranspiration estimation by ground and remote sensing methods: the Australian experience [J].
Glenn, Edward P. ;
Doody, Tanya M. ;
Guerschman, Juan P. ;
Huete, Alfredo R. ;
King, Edward A. ;
McVicar, Tim R. ;
Van Dijk, Albert I. J. M. ;
Van Niel, Thomas G. ;
Yebra, Marta ;
Zhang, Yongqiang .
HYDROLOGICAL PROCESSES, 2011, 25 (26) :4103-4116
[28]   Application of the Maximum Entropy Production Model of Evapotranspiration over Partially Vegetated Water-Limited Land Surfaces [J].
Hajji, Islem ;
Nadeau, Daniel F. ;
Music, Biljana ;
Anctil, Francois ;
Wang, Jingfeng .
JOURNAL OF HYDROMETEOROLOGY, 2018, 19 (06) :989-1005
[29]   The Plumbing of Land Surface Models: Is Poor Performance a Result of Methodology or Data Quality? [J].
Haughton, Ned ;
Abramowitz, Gab ;
Pitman, Andy J. ;
Or, Dani ;
Best, Martin J. ;
Johnson, Helen R. ;
Balsamo, Gianpaolo ;
Boone, Aaron ;
Cuntz, Matthias ;
Decharme, Bertrand ;
Dirmeyer, Paul A. ;
Dong, Jairui ;
Ek, Michael ;
Guo, Zichang ;
Haverd, Vanessa ;
van den Hurk, Bart J. J. ;
Nearing, Grey S. ;
Pak, Bernard ;
Santanello, Joe A., Jr. ;
Stevens, Lauren E. ;
Vuichard, Nicolas .
JOURNAL OF HYDROMETEOROLOGY, 2016, 17 (06) :1705-1723
[30]   LAND-SURFACE SCHEMES FOR FUTURE CLIMATE MODELS - SPECIFICATION, AGGREGATION, AND HETEROGENEITY [J].
HENDERSON-SELLERS, A ;
PITMAN, AJ .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1992, 97 (D3) :2687-2696