Comparing the Performance of the Maximum Entropy Production Model With a Land Surface Scheme in Simulating Surface Energy Fluxes
被引:11
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Alves, M.
[1
,2
,3
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Music, B.
[1
,2
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Nadeau, D. F.
[1
,3
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Anctil, F.
论文数: 0引用数: 0
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机构:
Univ Laval, Dept Civil & Water Engn, Quebec City, PQ, Canada
Univ Laval, CentrEau Water Res Ctr, Quebec City, PQ, CanadaUniv Laval, Dept Civil & Water Engn, Quebec City, PQ, Canada
Anctil, F.
[1
,3
]
机构:
[1] Univ Laval, Dept Civil & Water Engn, Quebec City, PQ, Canada
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.
机构:
Chinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, NetherlandsChinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
Li, L.
van der Tol, C.
论文数: 0引用数: 0
h-index: 0
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Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, NetherlandsChinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
van der Tol, C.
Chen, X.
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R ChinaChinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
Chen, X.
Jing, C.
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
Chinese Acad Forestry, Inst Forest Informat Resource Tech, Beijing, Peoples R ChinaChinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
Jing, C.
Su, B.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, NetherlandsChinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
Su, B.
Luo, G.
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R ChinaChinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
Luo, G.
Tian, X.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, NetherlandsChinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
机构:
Natl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USA
Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03824 USANatl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USA
Burakowski, Elizabeth A.
Tawfik, Ahmed
论文数: 0引用数: 0
h-index: 0
机构:
Natl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USANatl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USA
Tawfik, Ahmed
Ouimette, Andrew
论文数: 0引用数: 0
h-index: 0
机构:
Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03824 USANatl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USA
Ouimette, Andrew
Lepine, Lucie
论文数: 0引用数: 0
h-index: 0
机构:
Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03824 USANatl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USA
Lepine, Lucie
Zarzycki, Colin
论文数: 0引用数: 0
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Natl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USANatl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USA
Zarzycki, Colin
Novick, Kimberly
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Indiana Univ, Sch Publ & Environm Affairs, Bloomington, IN USANatl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USA
Novick, Kimberly
Ollinger, Scott
论文数: 0引用数: 0
h-index: 0
机构:
Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03824 USANatl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USA
Ollinger, Scott
Bonan, Gordon
论文数: 0引用数: 0
h-index: 0
机构:
Natl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USANatl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USA
机构:
Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R ChinaBeijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Xu TongRen
Liu ShaoMin
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R ChinaBeijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Liu ShaoMin
Xu ZiWei
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R ChinaBeijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Xu ZiWei
Liang ShunLin
论文数: 0引用数: 0
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机构:
Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China
Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USABeijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Liang ShunLin
Xu Lu
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China
Natl Lib China, Dept Informat Technol, Beijing 100081, Peoples R ChinaBeijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China