A review on research of land surface water and heat fluxes

Abstract

Abstract: Many field experiments were done, and soil vegetation atmosphere transfer(SVAT) models were stablished to estimate land surface heat fluxes. In this paper, the processes of experimental research on land surface water and heat fluxes are reviewed, and three kinds of SVATmodel(single layer model, two layer model and multi layer model) are analyzed. Remote sensing data are widely used to estimate land surface heat fluxes.Based on remote sensing and energy balance equation, different models such as simplified model, single layer model, extra resistance model, crop water stress index model and two source resistance model are developed to estimate land surface heat fluxes and evapotranspiration. These models are also analyzed in this paper.

Key words: Remote sensing, Soil vegetation atmosphere transfer, Sensible heat flux, Latent heat flux, Evapotranspiration, spatial heterogeneity, desert grassland, anthropogenic introduced shrub, soil water

CLC Number:

P426.2
TP79

SUN Rui, LIU Changming. A review on research of land surface water and heat fluxes[J]. Chinese Journal of Applied Ecology, 2003, (3): 434-438.

References

[1] Anderson MC, Norman JM, Diak GR,et al.1997.A two-source time integrated model for estimating surface fluxes using thermal infrared remote sensing.Remote Sens Environ,60:195～216
[2] Camillo PJ. 1991. Using one-and two-layer models for evaporation estimation with remotely sensed data. In: Schmuggle TJ, Andre JC eds.Land Surface Evaporation: Measurement and Parameterization. New York: Spring-Verlag. 183～197
[3] Caselles V, Artigao MM, Hurtado E,et al. 1998. Mapping actual evapotranspiration by combining landsat TM and NOAA-AVHRR images:Application to the Barrax area, Albacete, Spain.Remote Sens Environ, 63:1～10
[4] Chehbouni A, Lo Seen D, Njoku EG,et al. 1997. Estimation of sensible heat flux over sparsely vegetated surfaces.J Hydrol,188～189:855～868
[5] Choudhury BJ, Monteith JL. 1988. A four-layer model for the heat budget of homogeneous land surfaces.Quart J Roy Meteor Soc,114:373～398
[6] Dickinson RE, Henderson-Sellers A, Kennedy PJ,et al. 1996. Biosphere-atmosphere transfer scheme (BATS) for the NCAR Community Climate Model, Technical Notes TN 275 TSTR, NCAR, Boulder, CO.
[7] Jackson RD, Idso SB, Reginato RJ,et al.1981.Canopy temperature as a crop water stress indication.Water Resour Res,17(4):1133～1138
[8] Jackson RD, Reginato RJ,Idso SB. 1977. Wheat canopy temperature: A practical tool for evaluating water requirements.Water Resour Res,13:651～656
[9] Kalluri SNV, Townshend JRG, Doraiswamy P.1998. A simple single layer model to estimate transpiration from vegetation using multi-spectral and meteorological data.Int J Remote Sensing,19(6):1037～1053
[10] Kustas WP, Choudhury MS, Moran RJ,et al. 1989. Determination of sensible heat flux over sparse canopy using thermal infrared data.Agric For Meteor,44: 197～216
[11] Kustas WP, Perry EM, Doraiswamy PC,et al. 1994. Using satellite remote sensing to extrapolate evapotranspiration estimates in time and space over a semiarid rangeland basin.Remote Sens Environ,49:275～286
[12] Lagouarde JP. 1991. Use of NOAA AVHRR data combined with an agrometeoreological model for evaporation mapping.Int J Remote Sens,12:1853～1864
[13] Lhomme JP, Monteny B, Amadou M. 1994. Estimating sensible heat flux from radiometric temperature over sparse millet.Agric For Meteor,68:77～91
[14] Lhomme JP, Monteny B, Chehbouni A,et al. 1994. Determination of sensible heat flux over Sahelian fallow savannah using infrared thermometry.Agric For Meteor,68:93～105
[15] Liu C-M(刘昌明),Yu H-N(于沪宁). 1997. Water and heat transport on SPAC interface and water dissipation in ecological process. In: Liu C-M(刘昌明) ed. Experiment Research of Moisture Movement in Soil-Crop-Atmosphere System. Beijing: Meteorology Press. 1～17(in Chinese)
[16] Liu S-H(刘树华),Huang Z-C(黄子琛),Liu L-C(刘立超). 1996. Numerical simulation of the evapotranspiration process in the soil-vegetation-atmosphere continuum.Acta Geogr Sin(地理学报),51(2):118～126(in Chinese)
[17] Liu S-H(刘树华),Huang Z-C(黄子琛),Liu L-C(刘立超),et al.1995. A parameterized model on moisture-heat exchange of near-ground layer.Chin J Appl Ecol(应用生态学报),6(2):149～154(in Chinese)
[18] Ma Y-M(马耀明), Wang J-M(王介民). 1999. Estimation of flux densities over the heterogeneous land surface with the aid of satellite remote sensing and field observation.Acta Meteorol Sin(气象学报),57(2):180～189(in Chinese)
[19] Mecikalski JR, Diak GR, Anderson MC,et al. 1999. Estimating fluxes on continental scales using remotely sensed data in an atmospheric-land exchange model. J Appl Meteor,38:1352～1369
[20] Meyers TP, Paw UKT. 1987. Modelling the plant canopy micrometeorology with higher-order closure principles.Agric For Meteorol,41:143～163
[21] Mo X-G(莫兴国). 1998. Modeling and validating water and energy transfer in soil-vegetation- atmosphere system.Acta Meteorol Sin(气象学报),56(3):323～332(in Chinese)
[22] Moran MS, Clarke TR, Inoue Y,et al. 1994. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index.Remote Sens Environ,49:246～263
[23] Niu G-Y(牛国跃),Sun S-F(孙菽芬),Hong Z-X(洪钟祥). 1997. Numerical simulation on water and heat transport in the desert soil and atmospheric boundary layer. Acta Meteorol Sin(气象学报), 55(4):398～407(in Chinese)
[24] Norman JM, Kustas WP, Humes KS. 1995. Source approach for estimating soil and vegetation energy fluxes from observations of directional radiometric surface temperature.Agric For Meteor,77:263～293
[25] Olioso A, Chauki H, Courault D,et al.1999. Estimation of evapotranspiration and photosynthesis by assimilation of remote sensing data into SVAT models.Remote Sens Environ,68:341～356
[26] Roerink GJ, Su Z, Menenti M. 2000. S-SEBI:A simple remote sensing algorithm to estimate the surface energy balance.Phys Chem Earth(B),25(2):147～157
[27] Seguin B, Itier B. 1983. Using midday surface temperature to estimate daily evapotranspiration from satellite thermal IR data.Int J Remote Sens,4:371～383
[28] Sellers PJ, Mintz Y, Sud YC,et al. 1986. A simple biosphere model (SiB) for use within general circulation models.J Atmos Sci,43:505～531
[29] Sellers PJ, Randall DR, Collatz GJ,et al. 1996. A revised land-surface parameterization (SiB2) for atmospheric GCMs 1. Model formulation.J Clim, 9:676～705
[30] Shen G-R(申广荣), Tian G-L(田国良). 1998. Drought monitoring with crop water stress index.Agric Res Arid Areas(干旱地区农业研究), 16(1):124～128 (in Chinese)
[31] Su Z, Menenti M, Pelgrum H,et al. 1998. Remote sensing of land surface fluxes for updating numerical weather predictions. In: Nieuwenhuis GJA, Vaughan RA, Molenaar M, eds. Operational Remote Sensing for Sustainable Development. Rotterrrrdam: Balkema. 393～402
[32] Sui H-Z(隋洪智),Tian G-L(田国良),Li F-Q(李付琴). 1997. Two-layer model for monitoring drought using remote sensing.J Remote Sens(遥感学报),1(3):220～224(in Chinese)
[33] Tian G-L(田国良),Zheng K(郑柯), Li F-Q(李付琴),et al. 1990. Estimation of evapotranspiration and soil moisture using NOAA-AVHRR image and ground based meteorological data. In: Tian G-L(田国良) ed. Dynamic Research by Remote Sensing on Typical Region in the Yellow River Valley. Beijing: Science Press. 161～176(in Chinese)
[34] Troufleau D, Lhomme JP, Monteny B,et al. 1997. Sensible heat flux and radiometric surface temperature over sparse Sahelian vegetation I. An experimental analysis of the kB-1 parameter.J Hydrol,188～189:815～838
[35] Zhang J(张晶), Ding Y-H(丁一汇). 1998. An improved land-surface processes model and its simulation in experiment 1. Land-surface processes model(LPM-ZD) and its "off-line" tests and performance analyses.Acta Meteorol Sin(气象学报),56(1):1～19(in Chinese)