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Shenglei Zhang ﹡ , Jiancheng Shi, Youjun Dou Xiaojun Yin, Liying Li, Chenzhou Liu ﹡ [email_address]   Experiments of satellite data simulation based on the Community Land Model and SCE-UA algorithm IGARSS 2011, Vancouver, Canada,  24-29 July, 2011   Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, 100101, China
The gridded AMSE-E BT data is the mean state of the whole grid cell and can be regarded as a mixed pixel problem, it is equal to area weighted sum of BT in each sub-pixel: Introduction ,[object Object],[object Object]
[object Object],Problems ,[object Object],[object Object],[object Object],[object Object]
[object Object],Objective
Methodology: Satellite data simulation system Flowchart of the satellite data simulation system
Methodology: Satellite data simulation system ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],Methodology : Community Land Model
[object Object],[object Object],Methodology : Microwave land emissivity model
[object Object],[object Object],Methodology : SCE-UA algorithm
Methodology : Parameters calibration scheme Objective function : If there is wetland in grid, the BT of grid denotes as following:   : microwave  wetland surface emissivity  : effective temperature   : area fraction of  wetland and  : simulated BT  and  : observed BT  : the number of satellite observations during calibration using  SCE-UA algorithm
[object Object],Experiment - Data
Experiment:  Reference stations information 7% wetland 13% C 4  grass 13% C 3  non-arctic grass 19.5% needleleaf evergreen temperate tree 47.5% corn (24.80ºN, 113.58ºE) ShaoGuan 11% wetland 0.9% C 3  non-arctic grass 0.9% needleleaf deciduous boreal tree 0.9% needleleaf evergreen temperate tree 86.3% corn (44.42ºN, 122.87ºE) TongYu 86% wetland 0.3% broadleaf deciduous temperate shrub 13.7% corn (31.87ºN, 117.23ºE) HeFei Area Fraction Sub-grid Patch Type Location Station
Time series of the BT simulated by the LandEM in each sub-grid patch and  observed by AMSR-E sensor based on the model grid cell at  HeFei  station.  The difference between two sub-grid vegetation patch BT and the wetland  patch is extremely evident, the main cause is that there is more water surface  in the wetland patch.  Results - Sub-grid patch BT
Time series of the emissivities simulated by the landEM in two sub-grid vegetation  patch and calibrated by the SCE-UA algorithm in the sub-grid wetland patch  (monthly mean) at  HeFei  station Results - Calibrated wetland surface emissivity
Scatterplots of the AMSR-E BT simulated by the LandEM (left) and simulated  by the parameters transfer (right) versus that observed by AMSR-E sensor in 2003 at  TongYu Results - Parameters transfer validation The monthly mean microwave wetland emissivities calibrated at Hefei in 2003 were transferred to TongYu.
Application: Soil moisture assimilation   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Application: Soil moisture assimilation result Comparisons of the daily volumetric soil moisture content among the simulation,  assimilation with the AMSR-E BT data and observation in different soil  layers (0-50 cm) at ShaoGuan  from 19 June to 31  December  2002
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Conclusions
Future perspectives ,[object Object],[object Object]
Thank You!

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2 ShengleiZhang_IGARSS2011_MO3.T04.2.ppt

  • 1. Shenglei Zhang ﹡ , Jiancheng Shi, Youjun Dou Xiaojun Yin, Liying Li, Chenzhou Liu ﹡ [email_address] Experiments of satellite data simulation based on the Community Land Model and SCE-UA algorithm IGARSS 2011, Vancouver, Canada, 24-29 July, 2011 Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, 100101, China
  • 2.
  • 3.
  • 4.
  • 5. Methodology: Satellite data simulation system Flowchart of the satellite data simulation system
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. Methodology : Parameters calibration scheme Objective function : If there is wetland in grid, the BT of grid denotes as following: : microwave wetland surface emissivity : effective temperature : area fraction of wetland and : simulated BT and : observed BT : the number of satellite observations during calibration using SCE-UA algorithm
  • 11.
  • 12. Experiment: Reference stations information 7% wetland 13% C 4 grass 13% C 3 non-arctic grass 19.5% needleleaf evergreen temperate tree 47.5% corn (24.80ºN, 113.58ºE) ShaoGuan 11% wetland 0.9% C 3 non-arctic grass 0.9% needleleaf deciduous boreal tree 0.9% needleleaf evergreen temperate tree 86.3% corn (44.42ºN, 122.87ºE) TongYu 86% wetland 0.3% broadleaf deciduous temperate shrub 13.7% corn (31.87ºN, 117.23ºE) HeFei Area Fraction Sub-grid Patch Type Location Station
  • 13. Time series of the BT simulated by the LandEM in each sub-grid patch and observed by AMSR-E sensor based on the model grid cell at HeFei station. The difference between two sub-grid vegetation patch BT and the wetland patch is extremely evident, the main cause is that there is more water surface in the wetland patch. Results - Sub-grid patch BT
  • 14. Time series of the emissivities simulated by the landEM in two sub-grid vegetation patch and calibrated by the SCE-UA algorithm in the sub-grid wetland patch (monthly mean) at HeFei station Results - Calibrated wetland surface emissivity
  • 15. Scatterplots of the AMSR-E BT simulated by the LandEM (left) and simulated by the parameters transfer (right) versus that observed by AMSR-E sensor in 2003 at TongYu Results - Parameters transfer validation The monthly mean microwave wetland emissivities calibrated at Hefei in 2003 were transferred to TongYu.
  • 16.
  • 17. Application: Soil moisture assimilation result Comparisons of the daily volumetric soil moisture content among the simulation, assimilation with the AMSR-E BT data and observation in different soil layers (0-50 cm) at ShaoGuan from 19 June to 31 December 2002
  • 18.
  • 19.