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2012 AGU Chapman Conference on Remote Sensing of the ...

2012 AGU Chapman Conference on Remote Sensing of the ...

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microwave retrievals <strong>of</strong> surface emissivity spectra fromAMSU and AMSR-E in <strong>the</strong> summer and winter m<strong>on</strong>thsunder clear sky c<strong>on</strong>diti<strong>on</strong>s over C3VP site. The cloud-freeatmospheric c<strong>on</strong>tributi<strong>on</strong> is calculated from AIRStemperature and humidity pr<strong>of</strong>iles, and NWP modelreanalysis from GDAS and ECMWF. The land surfacetemperature from MODIS, GDAS and ECMWF are used forcomparis<strong>on</strong> purposes. The differences in <strong>the</strong> atmosphericc<strong>on</strong>tributi<strong>on</strong> due to different inputs <strong>of</strong> temperature andhumidity pr<strong>of</strong>iles al<strong>on</strong>g with <strong>the</strong> effect <strong>of</strong> surfacetemperature are discussed. The relati<strong>on</strong>ship between <strong>the</strong>land surface emissivity, surface temperature and snow waterequivalent in <strong>the</strong> winter m<strong>on</strong>ths is also analysed. Thepotential for using microwave emissivity for precipitati<strong>on</strong>retrievals over land is discussed.Wang, ShusenCharacterizati<strong>on</strong> <strong>of</strong> Spatiotemporal Variati<strong>on</strong>s inEvapotranspirati<strong>on</strong> Over Canada’s LandmassWang, Shusen 1 ; Yang, Yan 1 ; Rivera, Alf<strong>on</strong>so 21. Canada Centre for <strong>Remote</strong> <strong>Sensing</strong>, Natural ResourcesCanada, Ottawa, ON, Canada2. Geological Survey <strong>of</strong> Canada, Natural Resources Canada,Quebec, QC, CanadaA 30-year dataset <strong>of</strong> evapotranspirati<strong>on</strong> (ET) at 1-kmresoluti<strong>on</strong> was generated over Canada’s landmass using <strong>the</strong>land surface model EALCO driven by gridded climate data<strong>of</strong> years 1979-2008 and land surface data derived mostlyfrom remote sensing. EALCO is a physically based numericalmodel developed to simulate <strong>the</strong> ecological and hydrologicalprocesses <strong>of</strong> terrestrial ecosystems using Earth Observati<strong>on</strong>s.ET is simulated in EALCO through solving <strong>the</strong> coupledradiati<strong>on</strong>, energy, and water balance equati<strong>on</strong>s at 30-minutetime step. Plant carb<strong>on</strong> and nitrogen processes aredynamically coupled with energy and water processes tosimulate <strong>the</strong> plant physiological c<strong>on</strong>trol <strong>on</strong> ET. This l<strong>on</strong>gtermhigh resoluti<strong>on</strong> ET dataset was used to characterize <strong>the</strong>spatiotemporal variati<strong>on</strong>s <strong>of</strong> land surface ET in Canada. Ourresults show that ET varied remarkably both in time andspace over Canada’s landmass. The modelled annual ETreaches about 600 mm over several regi<strong>on</strong>s in <strong>the</strong> sou<strong>the</strong>rnpart <strong>of</strong> <strong>the</strong> country including <strong>the</strong> western Pacific Maritime,sou<strong>the</strong>rn M<strong>on</strong>tane Cordillera, sou<strong>the</strong>rn Mixed Wood Plainsand Boreal Shield, and sou<strong>the</strong>astern Atlantic Maritime. Theannual ET is modelled below 100 mm in <strong>the</strong> nor<strong>the</strong>rn arcticregi<strong>on</strong>s. Annually, ET took large part <strong>of</strong> <strong>the</strong> precipitati<strong>on</strong>al<strong>on</strong>g a broad strip stretching from <strong>the</strong> Prairies in <strong>the</strong> south,northwestward through Boreal Plains and Taiga Plains, to<strong>the</strong> regi<strong>on</strong>s <strong>of</strong> Taiga Cordillera and northwest Arctic. Inparticular, <strong>the</strong> ratio <strong>of</strong> ET to precipitati<strong>on</strong> is close to 1.0 in<strong>the</strong> central and sou<strong>the</strong>rn part <strong>of</strong> <strong>the</strong> Prairies where <strong>the</strong> driestplaces in Canada are located. Since irrigati<strong>on</strong> and water bodyevaporati<strong>on</strong> are not included in this study, <strong>the</strong> actual ETover <strong>the</strong>se areas could well exceed <strong>the</strong> amount <strong>of</strong>precipitati<strong>on</strong>. Over <strong>the</strong> rest <strong>of</strong> <strong>the</strong> landmass, annual totalprecipitati<strong>on</strong> is significantly higher than ET. The seas<strong>on</strong>alvariati<strong>on</strong>s <strong>of</strong> ET were dramatic due to <strong>the</strong> pr<strong>on</strong>ouncedseas<strong>on</strong>al changes in climate and vegetati<strong>on</strong>. The m<strong>on</strong>thly ETin July reached <strong>the</strong> highest for all <strong>of</strong> <strong>the</strong> 15 ecoz<strong>on</strong>es inCanada. In <strong>the</strong> cold seas<strong>on</strong> m<strong>on</strong>ths which last about half ayear, <strong>the</strong> m<strong>on</strong>thly ET remained below 10 mm for most <strong>of</strong> <strong>the</strong>ecoz<strong>on</strong>es. Negative ET was obtained over <strong>the</strong> arctic regi<strong>on</strong>during <strong>the</strong> winter m<strong>on</strong>ths, indicating <strong>the</strong> EALCO model hassimulated a larger amount <strong>of</strong> c<strong>on</strong>densati<strong>on</strong> thanevapotranspirati<strong>on</strong> during <strong>the</strong> cold seas<strong>on</strong>. In c<strong>on</strong>trast, <strong>the</strong>seas<strong>on</strong>al distributi<strong>on</strong> <strong>of</strong> precipitati<strong>on</strong> was less pr<strong>on</strong>ouncedthan ET, with more amount <strong>of</strong> precipitati<strong>on</strong> occurred in <strong>the</strong>sec<strong>on</strong>d half <strong>of</strong> <strong>the</strong> year. Overall, <strong>the</strong> modelled average ETover <strong>the</strong> entire Canadian landmass during <strong>the</strong> 30 years <strong>of</strong>1979-2008 was 239 mm year-1, or 44% <strong>of</strong> its corresp<strong>on</strong>dingprecipitati<strong>on</strong>. Comparis<strong>on</strong> with existing studies <strong>of</strong> ET inCanada was c<strong>on</strong>ducted revealing uncertainties in ETestimates by using different approaches <strong>of</strong> surface waterbudget, atmospheric moisture budget, various modellingincluding remote sensing, atmosphere model forecast andreanalysis. The scarcity <strong>of</strong> ET measurements for <strong>the</strong> diverseecosystems in Canada remains a significant challenge forreducing <strong>the</strong> uncertainties in ET estimates; this gap needs tobe addressed in future studies to improve our capabilities inclimate/wea<strong>the</strong>r modelling and water resource management.Wei, HelinThe applicati<strong>on</strong> <strong>of</strong> satellite remote-sensing dataproducts for land surface modeling in <strong>the</strong> NCEPoperati<strong>on</strong>al modelsWei, Helin 1 ; Meng, Jesse 1 ; Zheng, Weizh<strong>on</strong>g 1 ; Ek, Mike 11. NOAA/NWS/NCEP/EMC, Camp Springs, MD, USAThe land surface applicati<strong>on</strong> <strong>of</strong> remote sensing aregetting more and more advanced. For <strong>the</strong> NCEP operati<strong>on</strong>almodels, not <strong>on</strong>ly do <strong>the</strong>y provide <strong>the</strong> high-resoluti<strong>on</strong> spatialinformati<strong>on</strong> for land surface characterizati<strong>on</strong>, but also moreproducts are assimilated to improve <strong>the</strong> accuracy <strong>of</strong> <strong>the</strong>wea<strong>the</strong>r/climate forecasts. In this presentati<strong>on</strong>, twoapplicati<strong>on</strong>s <strong>of</strong> satellite remote-sensing data will be shown.The first <strong>on</strong>e is using CPC Merged Analysis <strong>of</strong> Precipitati<strong>on</strong>(CMAP) in <strong>the</strong> NCEP Climate Forecast System (CFS)Reanalysis. The sec<strong>on</strong>d <strong>on</strong>e is <strong>the</strong> assimilati<strong>on</strong> <strong>of</strong> <strong>the</strong> SoilMoisture and Ocean Salinity (SMOS) soil moisture in <strong>the</strong>NCEP Global Forecast System (GFS).Wils<strong>on</strong>, JeanRegi<strong>on</strong>al scale assessment <strong>of</strong> SubmarineGroundwater Discharge in Ireland combiningmedium resoluti<strong>on</strong> satellite imagery andgeochemical tracing techniquesWils<strong>on</strong>, Jean 1 ; Rocha, Carlos 11. Geography, Trinity College Dublin, Dublin, IrelandSubmarine Groundwater Discharge (SGD) is receivingc<strong>on</strong>siderable attenti<strong>on</strong> in <strong>the</strong> literature as a major pathwayfor anthropogenic pollutants travelling from land to sea.While SGD comprises less than 10% <strong>of</strong> global freshwatersources to oceans, <strong>the</strong> ecological impact <strong>of</strong> groundwater may150

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