Review on Improving Land Surface Model Simulations by Assimilating Polar-Orbiting Satellite Observations

  • YIN Jifu ,
  • ZHENG Youfei ,
  • ZHAN Xiwu ,
  • WU Rongjun ,
  • LIU Jicheng ,
  • FANG Li ,
  • GUAN Fulai ,
  • YAO Shuran
Expand
  • Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China;2. NOAA NESDIS Center for Satellite Applications and Research, College Park 20740, USA;3. Department of Geography and Geoinformation Science, George Mason University, Fairfax 22030, USA;4. Jiangsu Key Laboratory of Atmospheric Environment Monitoring & Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044, China;5. ESSIC/CICS, University of Maryland College Park, College Park 20740, USA;6. Meteorological Science Research Institute of Hebei Province, Shijiazhuang 050022, China

Received date: 2014-04-04

  Online published: 2016-02-28

Abstract

It is a key issue in drought monitoring to improve Land Surface Model(LSM) simulations by assimilating polar-orbiting satellite observations.By introducing the comprehensive Land surface Models and assimilation methods,this paper reviews the recent progresses of researches on assimilation of polar-orbiting satellite observations of surface type,albedo,green vegetation fraction(GVF),land surface temperature(LST),soil moisture(SM) and precipitation.Major scientific issues,including the structure of land surface model,assimilating method and satellite retrievals,to be addressed in near future research activities in the land data assimilation area are discussed.In particular,newer version land cover and real time green vegetation fraction and albedo products,which have great capabilities to describe land surface conditions,are suggested for land surface model(LSM) simulations.In addition,the land surface temperature data that are more accuracy and have higher temporal-spatial resolution should be used to improve LSM simulations.Estimations on the merits of assimilating ensemble soil moisture product and how to control the satellite data quality in a data assimilation system are also interesting topics.Based on the newer land cover,(near) real time GVF and albedo,the qualified LST,SM and precipitation data and the LSMs development will be helpful to further improve the assimilating effect.

Cite this article

YIN Jifu , ZHENG Youfei , ZHAN Xiwu , WU Rongjun , LIU Jicheng , FANG Li , GUAN Fulai , YAO Shuran . Review on Improving Land Surface Model Simulations by Assimilating Polar-Orbiting Satellite Observations[J]. Plateau Meteorology, 2016 , 35(1) : 260 -276 . DOI: 10.7522/j.issn.1000-0534.2014.00137

References

[1]Abramowitz G,Leuning R,Clark M,et al.2008.Evaluating the performance of land surface models[J].J Climate,21(21):5468-5481.
[2]Albergel C,De Rosnay P,Balsamo G,et al.2012.Soil moisture analyses at ECMWF:Evaluation using global ground-based in situ observations[J].J Hydrometeor,13(5):1442-1460.
[3]Albergel C,Dorigo W,Reichle R H,et al.2013.Skill and global trend analysis of soil moisture from reanalyses and microwave remote sensing[J].J Hydrometeor,14(4):1259-1277.
[4]Alley W M.1984.The Palmer drought severity index:limitations and assumptions[J].J Climate Appl Meteor,23(7):1100-1109.
[5]Alton P.2009.A simple retrieval of ground albedo and vegetation absorptance from MODIS satellite data for parameterisation of global land-surface models[J].Agricultural and Forest Meteorology,149(10):1769-1775.
[6]Anderson M C,Hain C,Otkin J,et al.2013.An intercomparison of drought indicators based on thermal remote sensing and NLDAS-2 simulations with US Drought Monitor classifications[J].J Hydrometeor,14(4):1035-1056.
[7]Anderson M C,Hain C,Wardlow B,et al.2011.Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States[J].J Climate,24(8):2025-2044.
[8]Anderson M C,Norman J M,Mecikalski J R,et al.2007.A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing:2.Surface moisture climatology[J].J Geophys Res:Atmospheres(1984-2012),112(D11).DOI:10.1029/2006JD00750.
[9]Bastiaanssen W G M,Menenti M,Feddes R A,et al.1998.A remote sensing surface energy balance algorithm for land(SEBAL).1.Formulation[J].J Hydrol,212:198-212.
[10]Bennett A F,Budgell W P.1987.Ocean data assimilation and the Moan filter:Spatial regularity[J].Journal of Physical Oceanography,17(10):1583-1601.
[11]Bennett A F,Budgell W P.1989.The Kalman smoother for a linear quasi-geostrophic model of ocean circulation[J].Dyn Atmos Oceans,13(3):219-267.
[12]Betts A K,Chen F,Mitchell K E,et al.1997.Assessment of the land surface and boundary layer models in two operational versions of the NCEP Eta model using FIFE data[J].Mon Wea Rev,125(11):2896-2916.
[13]Bonan G B,Levis S,Kergoat L,et al.2002.Landscapes as patches of plant functional types:An integrating concept for climate and ecosystem models[J].Global Biogeochemical Cycles,16(2):5-1-5-23.DOI:10.1029/2000GB001360.
[14]Bonan G B,Oleson K W,Vertenstein M,et al.2002.The land surface climatology of the community land model coupled to the NCAR community climate model[J].J Climate,15(22):3123-3149.
[15]Bonan G B.2008.Forests and climate change:forcings,feedbacks,and the climate benefits of forests[J].Science,320(5882):1444-1449.
[16]Boni G,Entekhabi D,Castelli F.2001.Land data assimilation with satellite measurements for the estimation of surface energy balance components and surface control on evaporation[J].Water Resour Res,37(6):1713-1722.
[17]Bourgin F.2009.Calibration of a catchment-based land surface model in the Loire River basin(France) to assess hydrological impacts of climate change[D].München:Technische University?t München,7.
[18]Brown K W,Rosenberg N J.1973.A resistance model to predict evapotranspiration and its application to a sugar beet field[J].Agronomy Journal,65(3):199-209.
[19]Burgers G,Jan van Leeuwen P,Evensen G.1998.Analysis scheme in the ensemble Kalman filter[J].Mon Wea Rev,126(6):1719-1724.
[20]Caparrini F,Castelli F,Entekhabi D.2004.Estimation of surface turbulent fluxes through assimilation of radiometric surface temperature sequences[J].J Hydrometeor,5(1):145-159.
[21]Castelli F,Entekhabi D,Caporali E.1999.Estimation of surface heat flux and an index of soil moisture using adjoint state surface energy balance[J].Water Resour Res,35(10):3115-3125.
[22]Chapin F S,Sturm M,Serreze M C,et al.2005.Role of land-surface changes in Arctic summer warming[J].Science,310(5748):657-660.
[23]Charney J,Quirk W J,Chow S H,et al.1977.A comparative study of the effects of albedo change on drought in semi-arid regions[J].Atmos Sci,34(9):1366-1385.
[24]Cohn S E,Parrish D F.1991.The behavior of forecast error covariances for a Kalman filter in two dimensions[J].Mon Wea Rev,119(8):1757-1785.
[25]Colman R A.2013.Surface albedo feedbacks from climate variability and change[J].J Geophys Res:Atmospheres,118(7):2827-2834.
[26]Cooke W H,Mostovoy G V,Anantharaj V G,et al.2012.Wildfire potential mapping over the State of Mississippi:A land surface modeling approach[J].J GIScience & Remote Sensing,49(4):492-509.
[27]Crow W T,Kumar S V,Bolten J D.2012.On the utility of land surface models for agricultural drought monitoring[J].Hydrology and Earth System Sciences,16(9):3451-3460.
[28]Dai Y,Zeng X,Dickinson R E,et al.2003.The common land model[J].Bull Amer Meteor Soc,84(8):1013-1023.
[29]Dai Yongjiu,Zeng Qingcun.1997.A land surface model(IAP94) for climate studies part I:Formulation and validation in off-line experiments[J].Adv Atmos Sci,14(4):433-460.
[30]Dee D P.1991.Simplification of the Kalman filter for meteorological data assimilation[J].Quart J Roy Meteor Soc,117(498):365-384.
[31]DeFries R S,Townshend J R G.1994.NDVI-derived land cover classifications at a global scale[J].Int J Remote Sens,15(17):3567-3586.
[32]Dickinson R E,Oleson K W,Bonan G B,et al.2006.The Community Land Model and its climate statistics as a component of the community climate system model[J].J Climate,19(11):2302-2324.
[33]Dickinson R E.1983.Land surface processes and climate surface albedos and energybalance[J].Adv Geophys,25:305-353.
[34]Du J,Liu Q.2013.Satellite detection of spatial distribution and temporal changes of surface soil moisture at Three Gorges Dam region from 2003 to 2011[J].Earth Interactions,17(7):1-13.
[35]Ek M B,Mitchell K E,Lin Y,et al.2003.Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model[J].J Geophys Res:Atmospheres,108(D22):8851.DOI:10.1029/2002JD003296.
[36]Ershadi A,McCabe M F,Evans J P,et al.2013.A Bayesian analysis of sensible heat flux estimation:Quantifying uncertainty in meteorological forcing to improve model prediction[J].Water Resour Res,49(5):2343-2358.
[37]Evensen E.1992.Using the extended Kalman filter with a multilayer quasi-geostrophic ocean model[J].J Geophys Res,97(C11):17905-17924.
[38]Evensen E.1994.Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics.A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing[J].J Geophys Res,99(C5):10143-10162.
[39]Ford T W,Harris E,Quiring S M.2014.Estimating root zone soil moisture using near-surface observations from SMOS[J].Hydrology and Earth System Sciences,18(1):139-154.
[40]Friedl M A,Sulla-Menashe D,Tan B,et al.2010.MODIS Collection 5 global land cover:Algorithm refinements and characterization of new datasets[J].Remote Sens Environ,114(1):168-182.
[41]Govaerts Y,Lattanzio A.2008.Estimation of surface albedo increase during the eighties Sahel drought from Meteosat observations[J].Global and Planetary Change,64(3):139-145.
[42]Hain C R,Crow W T,Anderson M C,et al.2012.An ensemble Kalman filter dual assimilation of thermal infrared and microwave satellite observations of soil moisture into the Noah land surface model[J].Water Resour Res,48(11):W11517.DOI:10.1029/2011WR011268.
[43]Hansen M C,Defries R S,Townshend J R G,et al.2000.Global land cover classification at 1 km spatial resolution using a classification tree approach[J].Int J Remote Sen,21(6-7),1331-1364.
[44]Henderson-Sellers A,Wilson M F.1983.Surface albedo data for climatic modeling[J].Rev Geophys,21(8):1743-1778.
[45]Hickler T,Eklundh L,Seaquist J W,et al.2005.Precipitation controls Sahel greening trend[J].Geophys Res Lett,32(21):L21415.DOI:10.1029/2005GL024370.
[46]Hillger D,Kopp T,Lee T,et al.2013.First-light imagery from Suomi NPP VⅡRS[J].Bull Amer Meteor Soc,94(7):1019-1029.DOI:10.1175/BAMS-D-12-00097.
[47]Holland W R.1978.The role of mesoscale eddies in the general circulation of the ocean-numerical experiments using a wind-driven quasi-geostrophic model[J].Journal of Physical Oceanography,8(3):363-392.
[48]Hollinger D Y,Ollinger S V,Richardson A D,et al.2010.Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration[J].Global Change Biology,16(2):696-710.
[49]Hulley G C,Hughes C G,Hook S J.2012.Quantifying uncertainties in land surface temperature and emissivity retrievals from ASTER and MODIS thermal infrared data[J].J Geophys Res,117(D23):D23113.DOI:10.1029/2012JD018506.
[50]Jackson T J,Cosh M H,Bindlish R,et al.2010.Validation of advanced microwave scanning radiometer soil moisture products[J].IEEE Trans Geosci Remote Sens,48(12):4256-4272.
[51]Jazwinski A H.1970.Stochastic Processes and Filtering Theory[M].New York:Academic Press,1-25.
[52]Jiang L,Kogan F N,Guo W,et al.2010.Real-time weekly global green vegetation fraction derived from advanced very high resolution radiometer-based NOAA operational global vegetation index(GVI) system[J].J Geophys Res,115(D11):D11114.DOI:10.1029/2009JD013204.
[53]Kalman R E.1960.Research Institute for Advanced Study,Baltimore,Md."A New Approach to Linear Filtering and Prediction Problems"[J].Transactions of the ASME Journal of Basic Engineering,82(Series D):35-45.
[54]Kim Y,Wang G.2012.Soil moisture-vegetation-precipitation feedback over North America:Its sensitivity to soil moisture climatology[J].J Geophys Res,117(D18):D18115.DOI:10.1029/2012JD017584.
[55]Koster R D,Suarez M J,Ducharne A,et al.2000.A catchment-based approach to modeling land surface processes in a general circulation model 1.Model structure[J].J Geophys Res,105(D20):809-822.
[56]Koster R D,Suarez M J.1992.Modeling the land surface boundary in climate models as a composite of independent vegetation stands[J].J Geophys Res,97(D3):2697-2715.
[57]Kowalczyk E A,Wang Y P,Law R M,et al.2006.CSIRO Atmosphere Biosphere Land Exchange model for use in climate models and as an offline model[R].CSIRO Technical Report,37.
[58]Kumar S V,Reichle R H,Koster R D,et al.2009.Role of subsurface physics in the assimilation of surface soil moisture observations[J].J Hydrometeor,10(6):1534-1547.
[59]Kumar S V,Reichle R H,Peters-Lidard C D,et al.2008.A land surface data assimilation framework using the land information system:Description and applications[J].Adv Water Resour,31(11):1419-1432.
[60]Li B,Toll D,Zhan X,et al.2011.Improving simulated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint[J].Hydrol Earth Syst Sci,8:8131-8171.
[61]Li J,Duan Q Y,Gong W,et al.2013.Assessing parameter importance of the Common Land Model based on qualitative and quantitative sensitivity analysis[J].Hydrol Earth Syst Sci,17(8):3279-3293.
[62]Liu Y Y,Parinussa R M,Dorigo W A,et al.2011.Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals[J].Hydrology and Earth System Sciences,15(2):425-436.
[63]Lotsch A,Tian Y,Friedl M A,et al.2003.Land cover mapping in support of LAI and FPAR retrievals from EOS-MODIS and MISR:Classification methods and sensitivities to errors[J].Int J Remote Sen,24(10):1997-2016.
[64]Loveland T R,Belward A S.1997.The IGBP-DIS global 1km land cover data set,DISCover:first results[J].Int J Remote Sen,18(15):3289-3295.
[65]Matgen P,Montanari M,Hostache R,et al.2010.Towards the sequential assimilation of SAR-derived water stages into hydraulic models using the Particle Filter:proof of concept[J].Hydrology and Earth System Sciences,14(9):1773-1785.
[66]McKee T B,Doesken N J,Kleist J.1993.The relationship of drought frequency and duration to time scales[C]//Proceedings of the 8<sup>th</sup> Conference on Applied Climatology.Boston,MA,USA:American Meteorological Society,17(22):179-183.
[67]Meng C L,Li Z L,Zhan X,et al.2009.Land surface temperature data assimilation and its impact on evapotranspiration estimates from the Common Land Model[J].Water Resour Res,45(2):W02421.DOI:10.1029/2008WR006971.
[68]Miller J,Barlage M,Zeng X,et al.2006.Sensitivity of the NCEP/Noah land surface model to the MODIS green vegetation fraction data set[J].Geophys Res Lett,33(13):L13404.DOI:10.1029/2006GL026636.
[69]Miller R N.1986.Toward the application of the Kalman filter to regional open ocean modeling[J].J Phys Oceanogr,16(1):72-86.
[70]Miller R N.1994.Perspectives on advanced data assimilation in strongly nonlinear systems[M].Heidelberg:Springer Berlin Heidelberg,195-215.
[71]Moradkhani H,Hsu K L,Gupta H,et al.2005a.Uncertainty assessment of hydrologic model states and parameters:Sequential data assimilation using the particle filter[J].Water Resour Res,41(5):W05012.DOI:10.1029/2004WR003604.
[72]Moradkhani H,Sorooshian S,Gupta H V,et al.2005b.Dual state-parameter estimation of hydrological models using ensemble Kalman filter[J].Adv Water Resour,28(2):135-147.
[73]Mu Q,Zhao M,Kimball J S,et al.2013.A remotely sensed global terrestrial drought severity index[J].Bull Amer Meteor Soc,94(1):83-98.
[74]Myneni R B,Hoffman S,Knyazikhin Y,et al.2002.Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data[J].Remote Sens Environ,83(1):214-231.
[75]Naumann G,Barbosa P,Carrao H,et al.2012.Monitoring drought conditions and their uncertainties in Africa using TRMM data[J].J Appl Meteor Climatol,51(10):1867-1874.
[76]Njoku E G,Jackson T J,Lakshmi V,et al.2003.Soil moisture retrieval from AMSR[J].IEEE Trans Geosci Remote Sens,41(2):215-229.
[77]Norman J M,Kustas W P,Humes K S.1995.A two-source approach for estimating soil and vegetation energy fluxes from observations of directional radiometric surface temperature[J].Agricultural and Forest Meteorology,77(3-4):263-293.
[78]Oleson K W,Dai Y,Bonan G,et al.2004.Technical description of the community land model(CLM)[R].NCAR Technical Note NCAR/TN-461+ STR,National Center for Atmospheric Research,Boulder,Colorado.
[79]Ollinger S V,Richardson A D,Martin M E,et al.2008.Canopy nitrogen,carbon assimilation,and albedo in temperate and boreal forests:Functional relations and potential climate feedbacks[J].Proceedings of the National Academy of Sciences,105(49):19336-19341.
[80]Olofsson P,Stehman S V,Woodcock C E,et al.2012.A global landcover validation data set,part I:Fundamental design principles[J].Int J Remote Sens,33(18):5768-5788.
[81]Palmer W C.1965.Meteorological drought[M].Washington,DC,USA:US Department of Commerce,Weather Bureau,65.
[82]Peters-Lidard C D,Houser P R,Tian Y,et al.2007.High-performance earth system modeling with NASA/GSFC's Land Information System[J].Innovations in Systems and Software Engineering,3(3):157-165.
[83]Reggiani P,Renner M,Weerts A H,et al.2009.Uncertainty assessment via Bayesian revision of ensemble streamflow predictions in the operational river Rhine forecasting system[J].Water Resour Res,45(2):W02428.DOI:10.1029/2007WR 006758.
[84]Reggiani P,Weerts A H.2008.A Bayesian approach to decision-making under uncer tainty:An application to real-time forecasting in the river Rhine[J].J Hydrometeor,356(1):56-69.
[85]Reichle R H,Koster R D.2004.Bias reduction in short records of satellite soil moisture[J].Geophys Resh Lett,31(19):L19501.DOI:10.1029/2004GL020938.
[86]Reichle R H,Kumar S V,Mahanama S P P,et al.2010.Assimilation of satellite-derived skin temperature observations into land surface models[J].J Hydrometeor,11(5):1103-1122.
[87]Reichle R H,McLaughlin D B,Entekhabi D.2002.Hydrologic data assimilation with the ensemble Kalman filter[J].Mon Wea Rev,130(1):103-114.
[88]Reichle R H.2008.Data assimilation methods in the Earth sciences[J].Adv Water Resour,31(11):1411-1418.
[89]Rodell M,Houser P R,Jambor U,et al.2004.The global land data assimilation system[J].Bull Amer Meteor Soc,85(3):381-394.
[90]Running S W,Loveland T R,Pierce L L,et al.1995.A remote sensing based vegetation classification logic for global land cover analysis[J].Remote Sens Environ,51(1):39-48.
[91]Ryu D,Crow W T,Zhan X,et al.2009.Correcting unintended perturbation biases in hydrologic data assimilation[J].J Hydrometeor,10(3):734-750.
[92]Schuurmans J M,Troch P A,Veldhuizen A A,et al.2003.Assimilation of remotely sensed latent heat flux in a distributed hydrological model[J].Adv Water Resour,26(2):151-159.
[93]Sellers P J,Mintz Y,Sud Y C,et al.1986.A simple biosphere model(SiB) for use within general circulation models[J].J Atmos Sci,43(6):505-531.
[94]Seo D J,Cajina L,Corby R,et al.2009.Automatic state updating for operational streamflow forecasting via variational data assimilation[J].J Hydrol,367(3):255-275.
[95]Seo D J,Koren V,Cajina N.2003.Real-time variational assimilation of hydrologic and hydrometeorological data into operational hydrologic forecasting[J].J Hydrometeor,4(3):627-641.
[96]Sheffield J,Goteti G,Wood E F.2006.Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling[J].J Climate,19(13):3088-3111.
[97]Slater A G,Clark M P.2006.Snow data assimilation via an ensemble Kalman filter[J].J Hydrometeor,7(3):478-493.
[98]Stehman S V,Olofsson P,Woodcock C E,et al.2012.A global land-cover validation data set,Ⅱ:Augmenting a stratified sampling design to estimate accuracy by region and land-cover class[J].Int J Remote Sens,33(22):6975-6993.
[99]Su Z,Rosnay P,Wen J,et al.2013.Evaluation of ECMWF's soil moisture analyses using observations on the Tibetan Plateau[J].J Geophys Res:Atmospheres,118(11):5304-5318.
[100]Su Z.2002.The Surface Energy Balance System(SEBS) for estimation of turbulent heat fluxes[J].Hydrology and Earth System Sciences,6(1):85-100.
[101]Todini E.2008.A model conditional processor to assess predictive uncertainty in flood forecasting[J].International Journal of River Basin Management,6(2):123-137.
[102]Valstar J R,McLaughlin D B,Te Stroet C,et al.2004.A representerbased inverse method for groundwater flow and transport applications[J].Water Resour Res,40(5):W05116.DOI:200410.1029/2003WR002922.
[103]Vernimmen R R E,Hooijer A,Aldrian E,et al.2012.Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia[J].Hydrology and Earth System Sciences,16(1):133-146.
[104]Wagner W,Lemoine G,Rott H.1999.A method for estimating soil moisture from ERS scatterometer and soil data[J].Remote Sens Environ,70(2):191-207.
[105]Wang D,Cai X.2008.Robust data assimilation in hydrological modeling-A comparison of Kalman and H-infinity filters[J].Adv Water Res,31(3):455-472.
[106]Weerts A H,El Serafy G Y H.2006.Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall runoff models[J].Water Resour Res,42(9):W09403.DOI:10.1029/2005WR004093.
[107]Weng F,Zou X,Wang X,et al.2012.Introduction to Suomi national polar orbiting partnership advanced technology microwave sounder for numerical weather prediction and tropical cyclone applications[J].J Geophys Res:Atmospheres,117(D19):D19112.DOI:10.1029/2012JD018144.
[108]Xia Y,Mitchell K,Ek M,et al.2012.Continental scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2(NLDAS-2):1.Intercomparison and application of model products[J].J Geophys Res:Atmospheres,117(D3):D03109.DOI:10.1029/2011JD016048.
[109]Xu T R,Liu S M,Xu Z W,et al.2013.A dual-pass data assimilation scheme for estimating surface energy fluxes with FY3A-VIRR land surface temperature[J].Hydrology and Earth System Sciences Discussions,10(3):3927-3972.DOI:10.5194/hessd-10-3927 -2013.
[110]Yang R,Cohn S E,da Silva A,et al.2003.Tangent linear analysis of the Mosaic land surface model[J].J Geophys Res:Atmospheres,108(D2):4054.DOI:10.1029/2002JD002410.
[111]Yin J,Zhan X,Zheng Y,et al.2014.Impact of quality control of satellite soil moisture data on their assimilation into land surface model[J].Geophys Res Lett,41(20):7159-7166.
[112]Yin J,Zhan X,Zheng Y,et al.2015a.Optimal Ensemble Size of Ensemble Kalman Filter in Sequential Soil Moisture Data Assimilation[J].Geophys Res Lett,42(16):6710-6715.
[113]Yin J,Zhan X,Zheng Y,et al.2016.Improving Noah land surface model performance using near real time surface albedo and green vegetation fraction[J].Agricultural and Forest Meteorology,218:171-183.
[114]Yin J,Zheng Y,Zhan X,et al.2015b.An assessment of impacts of land-cover changes on root-zone soil moisture[J].International Journal of Remote Sensing,36(24):6116-6134.
[115]Yin J,Zhan X,Zheng Y,et al.2015c.Enhancing Model Skill by Assimilating SMOPS-Blended Soil Moisture Product into Noah Land Surface Model[J].J Hydrometeor,16(2):917-931.
[116]Yong B,Hong Y,Ren L L,et al.2012.Assessment of evolving TRMM based multisatellite real time precipitation estimation methods and their impacts on hydrologic prediction in a high latitude basin[J].J Geophys Res:Atmospheres,117(D9):D09108.DOI:10.1029/2011JD017069.
[117]Zabel F,Mauser W.2012.Analysis of feedback effects and atmosphere responses when 2-way coupling a hydrological land surface model with a regional climate model-a case study for the Upper-Danube catchment[J].Hydrol Earth Syst Sci,9:7543-7570.
[118]Zeng X,Dickinson R E,Walker A,et al.2000.Derivation and evaluation of global 1-km fractional vegetation cover data for land modeling[J].J Appl Meteor,39(6):826-839.
[119]Zhan X,Sohlberg R A,Townshend J R G,et al.2002.Detection of land cover changes using MODIS 250 m data[J].Remote Sens Environ,83(1):336-350.
[120]Zhan X,Zheng W,Meng J,et al.2012.Impact of SMOS soil moisture data assimilation on NCEP-GFS forecasts[C].EGU General Assembly Conference Abstracts,14:12724.
[121]Zhang F,Zhang M,Hansen J A.2009.Coupling ensemble Kalman filter with four-dimensional variational data assimilation[J].Adv Atmos Sci,26(1):1-8.
[122]Zhang H,Pak B,Wang Y P,et al.2013.Evaluating surface water cycle simulated by the Australian community land surface model(CABLE) across different spatial and temporal domains[J].J Hydrometeor,14(4):1119-1138.
[123]Zhang S,Zou X,Ahlquist J E.2001.Examination of numerical results from tangent linear and adjoint of discontinuous nonlinear models[J].Mon Wea Rev,129(11):2791-2804.
[124]傅云飞,李宏图,自勇.2007.TRMM 卫星探测青藏高原谷地的降水云结构个例分析[J].高原气象,26(1):98-106.Fu Yunfei,Li Hongtu,Zi Yong.2007.Case study of precipitation cloud structure viewed by TRMM satellite in a valley of the Tibetan Plateau[J].Plateau Meteor,26(1):98-106.
[125]李典,白爱娟,黄盛军.2012.利用TRMM卫星资料对青藏高原地区强对流天气特征分析[J].高原气象,31(2):304-311.Li Dian,Bai Aijuan,Huang Shengjun.2012.Characteristic analysis of a severe convective weather over tibetan Plateau based on TRMM data[J].Plateau Meteor,31(2):304-311.
[126]李耀辉,张良,张虎强,等.2015.基于CABLE陆面模式的干旱监测及其对典型干旱事件的效果检验[J].高原气象,34(4):1005-1018.Li Yaohui,Zhang Liang,Zhang Huqiang,et al.2015.Drought monitoring based on CABLE land surface model and its effect examination of typical drought events[J].Plateau Meteor,34(4):1005-1018.DOI:10.7522/j.issn.1000-0534.2014.00106.
[127]刘金婷,马柱国,罗德海.2009.三个陆面模式对新疆地区陆面过程模拟的对比研究[J].高原气象,28(6):1242-1249.Liu Jinting,Ma Zhuguo,Luo Dehai.2009.A study on the thermal process simulations of multiple land surface models in Xinjiang[J].Plateau Meteor,28(6):1242-1249.
[128]杨扬,左洪超,杨启东,等.2015.CLM4.0 模式对干旱区荒漠草原过渡带快速变化陆面过程的数值模拟研究[J].高原气象,34(4):923-934.Yang Yang,Zuo Hongchao,Yang Qidong,et al.2015.Numerical simulation of transient land surface process over desert-steppe transitional zone in arid areas using Community Land Model[J].Plateau Meteor,34(4):923-934.DOI:10.7522/j.issn.1000-0534.2014.00105.
[129]张述文,李得勤,邱崇践.2009.三类陆面模式模拟土壤湿度廓线的对比研究[J].高原气象,28(5):988-996.Zhang Shuwen,Li Deqin,Qiu Chunjian.2009.A comparative study of the three land surface modelsin simulating the soil moisture profile[J].Plateau Meteor,28(5):988-996.
[130]赵逸舟,马耀明,黄镇,等.2007.利用TRMM/TMI 资料反演青藏高原中部土壤湿度[J].高原气象,26(5):952-957.Zhao Yizhou,Ma Yaoming,Huang Zhen,et al.2007.The retrieval of soil moisture from TRMM/TMI Data in central of Tibetan Plateau[J].Plateau Meteor,26(5):952-957.
[131]郑有飞,陈鹏,吴荣军,等.2011.地表蒸散的遥感估算模型及其在农业干旱监测中的应用[J].生态学杂志,30(4):837-844.Zheng Youfei,Chen Peng,Wu Rongjun,et al.2011.The estimation models for land surface evapotranspiration process based on remote sensing and its application in agricultural drought monitoring[J].Chinese Journal of Ecology,30(4):837-844.
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