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Satellite-based Land-Atmosphere Coupled Data Assimilation Toshio Koike Earth Observation Data Integration & Fusion Research Initiative (EDITORIA) Department Civil Engineering, Engineering School The University of Tokyo
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OBS 1998 (2003 unavailable) NCEP JMA UKMO Seasonal variation ( May - September) Sensible ( H )- Latent(LE )- H RMSE [W/ ㎡ ] LE RMSE [W/ ㎡ ] LDASUT32.042.5 NCEP40.268.4 JMA32.379.8 UKMO35.380.1 LE daily-mean ( June) Observed Modeled GCMs
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Land Surface Scheme Snow Physics Model Cloud Physics Model Soil Moisture Soil Moisture Snow Microwave Radiometer Microwave Radiometer Precipitation Surface Emissivity & Temp. Aqua TRMM Land-Atmosphere Data Assimilation Land-Atmosphere Data Assimilation
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Land Surface Scheme Satellite Data Minimization Scheme Radiative Transfer Model Cost Function LDAS GCM Forcing
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OBS 1998 (2003 unavailable) NCEP JMA UKMO Seasonal variation ( May - September) Sensible ( H )- Latent(LE )- H RMSE [W/ ㎡ ] LE RMSE [W/ ㎡ ] LDASUT32.042.5 NCEP40.268.4 JMA32.379.8 UKMO35.380.1 LE daily-mean ( June) Observed Modeled LDASUT LDASUT- GCMs
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GCM Land Surface Scheme Satellite Data Minimization Scheme Radiative Transfer Model Cost Function GCM Forcing Regional Model Physical Down-scaling
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soil moisture (Surface perspective) Assimilation No Assimilation
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(Atmospheric perspective) Vertical Wind field GMS IR1-based convective Index No Assimilation caseAssimilation case Vertical Wind field
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Radar at BJ With Land Assimilation Without Assimilation 9-15 16-2223-04
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Cloud Physics Scheme Radiative Transfer Model Cost Function Regional Model Satellite Data Minimization Scheme GCM Physical Down-scaling
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IF J min No Yes ARPS Model Output (Initial Guess) Observation Operator (RTM) (Tb mod ) Model Operator (Lin Ice Scheme) (Assim. Parameter:ICLWC, IWV) Cost (J)= (Tb mod - Tb obs ) 2 Global Minimization Scheme (Shuffled Complex Evolution) Duan et al, 1992 Optimized Initial Condition Cloud Parameter Update IMDAS Framework Tb obs Precipitation Prediction by ARPS
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12z 16z 20z 24z 04z 08z 12z ARPS Model Simulation 16:30z 16:30z 17:10z Assimilation Window: 40 mins TB obs AMSR-E Initial Guess 29 th Jan 2003 30 th Jan 2003 16:30z 17:00 18:00 19:00 20:00 Assimilation Window: 40 mins Prediction Start of Prediction with Improved Initial Condition
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Initial condition with no assimilation 29 th Jan, 17:00z dbz=200R**1.60 (Aonashi, 2004) Precipitation Rate(mm/hr) IMDASIMDAS Initial condition with assimilation
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3hour prediction with no assimilation 29 th Jan, 20:00z dbz=200R**1.60 (Aonashi, 2004) Precipitation Rate(mm/hr) IMDASIMDAS 3hour prediction with assimilation
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Cloud Physics Scheme Radiative Transfer Model Cost Function Regional Model Land Surface Scheme Satellite Data Minimization Scheme Radiative Transfer Model Cost Function GCM
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Coupled Soil Atmosphere RTM By coupling AIEM with atmosphere RTM we get better agreement. For wetter cases AIEM is sufficient.
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Atmosphere-Land Coupled Data Assimilation System
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Tb Error Atmospheric effect derived from AMSR-E vs. MODIS Cloud Top Temperature LDAS onlyMODIS/IRA-L Coupled DAS
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Integrated Cloud Liquid Water Atmospheric effect derived from AMSR-E vs. MODIS Cloud Top Temperature LDAS onlyMODIS/IRA-L Coupled DAS
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24 hour Prediction of Rainfall over the Tibetan Plateau Prediction with the A-L Coupled Data Assimilation As an Initial Condition Only NestingGOES IR
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Coupler System
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Preliminary Design for Multi-scale Land Impact Research by of L-A Coupled DAS Regional-scale approach by L-A DAS without CMDAS Regional-scale approach by L-A DAS without CMDAS Extent: 40ºE - 160ºE and 0ºN - 60ºN Extent: 40ºE - 160ºE and 0ºN - 60ºN Grid size: 25 km → nx = 355, ny = 223, nz = 35 Grid size: 25 km → nx = 355, ny = 223, nz = 35 Meso-scale “mobile” approach by L-A DAS with CMDAS Meso-scale “mobile” approach by L-A DAS with CMDAS Point-scale by the CEOP Reference Sites Network + Point-scale by the CEOP Reference Sites Network +
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モデルによる統合化
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