Integration of MODIS land and atmosphere products with a coupled‐process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales
Identifieur interne : 006404 ( Main/Curation ); précédent : 006403; suivant : 006405Integration of MODIS land and atmosphere products with a coupled‐process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales
Auteurs : Youngryel Ryu [Corée du Sud, États-Unis] ; Dennis D. Baldocchi [États-Unis] ; Hideki Kobayashi [États-Unis] ; Catharine Van Ingen [États-Unis] ; Jie Li [États-Unis] ; T. Andy Black [Canada] ; Jason Beringer [Australie] ; Eva Van Gorsel [Australie] ; Alexander Knohl [Allemagne] ; Beverly E. Law [États-Unis] ; Olivier Roupsard [France, Costa Rica]Source :
- Global Biogeochemical Cycles [ 0886-6236 ] ; 2011-12.
Descripteurs français
- Wicri :
- topic : Offre énergétique, écosystème.
English descriptors
- KwdEn :
- Actual temperature, Aerosol product, Aerosol type, Agric, Albedo, Algorithm, Appl, Atmospheric radiative transfer, Atmospheric radiative transfer model, Available energy, Azure storage, Baldocchi, Bess, Bess model, Bioclimatic, Bioclimatic zones, Biol, Biophysical model, Boreal, Boreal forests, British columbia, Canopy, Canopy conductance, Canopy depth, Canopy fluxes, Canopy radiative transfer, Canopy radiative transfer model, Canopy reflectance, Clumped canopy, Clumping, Clumping index, Coefficient, Collatz, Conductance, Cool summer, Data gaps, Deciduous, Deciduous forest, Diffuse, Direct beam, Ecol, Ecosystem, Energy fluxes, Environ, Environmental science, Evaporation, Evapotranspiration, Evergreen, Extinction, Extinction coefficient, Farquhar, Flux tower, Flux tower data, Flux towers, Fluxnet, Foliar, Geophys, Global, Global biogeochem, Global change biol, Global climate classification, Global estimates, Global land, Global scale, Good agreement, Houborg, Humid, Ieee trans, Incoming longwave radiation, Incoming shortwave radiation, Input data, Input variables, Irradiance, Jung, Kobayashi, Land products, Land surface models, Land surface temperature, Latent heat flux, Leaf, Leaf area index, Leaf photosynthesis, Leuning, Longwave, Longwave radiation, Meteorol, Meteorological variables, Microsoft, Mmol, Modeling, Modis, Modis data, Modis land, Ncep data, Nearest neighborhood method, Nonlinear processes, Photosynthesis, Photosynthetic, Photosynthetic capacity, Physiol, Pixel, Plant cell environ, Point temperature, Previous studies, Primary productivity, Pury, Qnsh, Qnsun, Qpsh, Qpsun, Radiative, Rain forests, Reanalysis, Recent advances, Reflectance, Reichstein, Relative bias, Relative rmse, Remote sens, Rmse, Seasonal pattern, Seasonal variation, Section canopy radiative transfer model, Sens, Sensitivity analysis, Shade leaf, Shortwave, Sinusoidal, Sinusoidal projection, Sinusoidal tiles, Snir, Soil reflectance, Soil surface, Solar irradiance, Solar zenith angle, Spatial resolution, Stomatal, Stomatal conductance, Sunlit, Sunlit leaf, Temperate, Temporal resolution, Thickness modis, Tree physiol, Tropical forests, Upscaling, Vapor pressure, Vapor pressure deficit, Wang, Warm summer, Water balance, Wind speed, Yuan, Zhao.
- Teeft :
- Actual temperature, Aerosol product, Aerosol type, Agric, Albedo, Algorithm, Appl, Atmospheric radiative transfer, Atmospheric radiative transfer model, Available energy, Azure storage, Baldocchi, Bess, Bess model, Bioclimatic, Bioclimatic zones, Biol, Biophysical model, Boreal, Boreal forests, British columbia, Canopy, Canopy conductance, Canopy depth, Canopy fluxes, Canopy radiative transfer, Canopy radiative transfer model, Canopy reflectance, Clumped canopy, Clumping, Clumping index, Coefficient, Collatz, Conductance, Cool summer, Data gaps, Deciduous, Deciduous forest, Diffuse, Direct beam, Ecol, Ecosystem, Energy fluxes, Environ, Environmental science, Evaporation, Evapotranspiration, Evergreen, Extinction, Extinction coefficient, Farquhar, Flux tower, Flux tower data, Flux towers, Fluxnet, Foliar, Geophys, Global, Global biogeochem, Global change biol, Global climate classification, Global estimates, Global land, Global scale, Good agreement, Houborg, Humid, Ieee trans, Incoming longwave radiation, Incoming shortwave radiation, Input data, Input variables, Irradiance, Jung, Kobayashi, Land products, Land surface models, Land surface temperature, Latent heat flux, Leaf, Leaf area index, Leaf photosynthesis, Leuning, Longwave, Longwave radiation, Meteorol, Meteorological variables, Microsoft, Mmol, Modeling, Modis, Modis data, Modis land, Ncep data, Nearest neighborhood method, Nonlinear processes, Photosynthesis, Photosynthetic, Photosynthetic capacity, Physiol, Pixel, Plant cell environ, Point temperature, Previous studies, Primary productivity, Pury, Qnsh, Qnsun, Qpsh, Qpsun, Radiative, Rain forests, Reanalysis, Recent advances, Reflectance, Reichstein, Relative bias, Relative rmse, Remote sens, Rmse, Seasonal pattern, Seasonal variation, Section canopy radiative transfer model, Sens, Sensitivity analysis, Shade leaf, Shortwave, Sinusoidal, Sinusoidal projection, Sinusoidal tiles, Snir, Soil reflectance, Soil surface, Solar irradiance, Solar zenith angle, Spatial resolution, Stomatal, Stomatal conductance, Sunlit, Sunlit leaf, Temperate, Temporal resolution, Thickness modis, Tree physiol, Tropical forests, Upscaling, Vapor pressure, Vapor pressure deficit, Wang, Warm summer, Water balance, Wind speed, Yuan, Zhao.
Abstract
We propose the Breathing Earth System Simulator (BESS), an upscaling approach to quantify global gross primary productivity and evapotranspiration using MODIS with a spatial resolution of 1–5 km and a temporal resolution of 8 days. This effort is novel because it is the first system that harmonizes and utilizes MODIS Atmosphere and Land products on the same projection and spatial resolution over the global land. This enabled us to use the MODIS Atmosphere products to calculate atmospheric radiative transfer for visual and near infrared radiation wave bands. Then we coupled atmospheric and canopy radiative transfer processes, with models that computed leaf photosynthesis, stomatal conductance and transpiration on the sunlit and shaded portions of the vegetation and soil. At the annual time step, the mass and energy fluxes derived from BESS showed strong linear relations with measurements of solar irradiance (r2 = 0.95, relative bias: 8%), gross primary productivity (r2 = 0.86, relative bias: 5%) and evapotranspiration (r2 = 0.86, relative bias: 15%) in data from 33 flux towers that cover seven plant functional types across arctic to tropical climatic zones. A sensitivity analysis revealed that the gross primary productivity and evapotranspiration computed in BESS were most sensitive to leaf area index and solar irradiance, respectively. We quantified the mean global terrestrial estimates of gross primary productivity and evapotranpiration between 2001 and 2003 as 118 ± 26 PgC yr−1 and 500 ± 104 mm yr−1 (equivalent to 63,000 ± 13,100 km3 yr−1), respectively. BESS‐derived gross primary productivity and evapotranspiration estimates were consistent with the estimates from independent machine‐learning, data‐driven products, but the process‐oriented structure has the advantage of diagnosing sensitivity of mechanisms. The process‐based BESS is able to offer gridded biophysical variables everywhere from local to the total global land scales with an 8‐day interval over multiple years.
Url:
DOI: 10.1029/2011GB004053
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ISTEX:61487300701F4319BF47883021417FAC46229385Le document en format XML
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<term>Aerosol product</term>
<term>Aerosol type</term>
<term>Agric</term>
<term>Albedo</term>
<term>Algorithm</term>
<term>Appl</term>
<term>Atmospheric radiative transfer</term>
<term>Atmospheric radiative transfer model</term>
<term>Available energy</term>
<term>Azure storage</term>
<term>Baldocchi</term>
<term>Bess</term>
<term>Bess model</term>
<term>Bioclimatic</term>
<term>Bioclimatic zones</term>
<term>Biol</term>
<term>Biophysical model</term>
<term>Boreal</term>
<term>Boreal forests</term>
<term>British columbia</term>
<term>Canopy</term>
<term>Canopy conductance</term>
<term>Canopy depth</term>
<term>Canopy fluxes</term>
<term>Canopy radiative transfer</term>
<term>Canopy radiative transfer model</term>
<term>Canopy reflectance</term>
<term>Clumped canopy</term>
<term>Clumping</term>
<term>Clumping index</term>
<term>Coefficient</term>
<term>Collatz</term>
<term>Conductance</term>
<term>Cool summer</term>
<term>Data gaps</term>
<term>Deciduous</term>
<term>Deciduous forest</term>
<term>Diffuse</term>
<term>Direct beam</term>
<term>Ecol</term>
<term>Ecosystem</term>
<term>Energy fluxes</term>
<term>Environ</term>
<term>Environmental science</term>
<term>Evaporation</term>
<term>Evapotranspiration</term>
<term>Evergreen</term>
<term>Extinction</term>
<term>Extinction coefficient</term>
<term>Farquhar</term>
<term>Flux tower</term>
<term>Flux tower data</term>
<term>Flux towers</term>
<term>Fluxnet</term>
<term>Foliar</term>
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<term>Global biogeochem</term>
<term>Global change biol</term>
<term>Global climate classification</term>
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<term>Ieee trans</term>
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<term>Land products</term>
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<term>Latent heat flux</term>
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<term>Leaf area index</term>
<term>Leaf photosynthesis</term>
<term>Leuning</term>
<term>Longwave</term>
<term>Longwave radiation</term>
<term>Meteorol</term>
<term>Meteorological variables</term>
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<term>Modis data</term>
<term>Modis land</term>
<term>Ncep data</term>
<term>Nearest neighborhood method</term>
<term>Nonlinear processes</term>
<term>Photosynthesis</term>
<term>Photosynthetic</term>
<term>Photosynthetic capacity</term>
<term>Physiol</term>
<term>Pixel</term>
<term>Plant cell environ</term>
<term>Point temperature</term>
<term>Previous studies</term>
<term>Primary productivity</term>
<term>Pury</term>
<term>Qnsh</term>
<term>Qnsun</term>
<term>Qpsh</term>
<term>Qpsun</term>
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<term>Rain forests</term>
<term>Reanalysis</term>
<term>Recent advances</term>
<term>Reflectance</term>
<term>Reichstein</term>
<term>Relative bias</term>
<term>Relative rmse</term>
<term>Remote sens</term>
<term>Rmse</term>
<term>Seasonal pattern</term>
<term>Seasonal variation</term>
<term>Section canopy radiative transfer model</term>
<term>Sens</term>
<term>Sensitivity analysis</term>
<term>Shade leaf</term>
<term>Shortwave</term>
<term>Sinusoidal</term>
<term>Sinusoidal projection</term>
<term>Sinusoidal tiles</term>
<term>Snir</term>
<term>Soil reflectance</term>
<term>Soil surface</term>
<term>Solar irradiance</term>
<term>Solar zenith angle</term>
<term>Spatial resolution</term>
<term>Stomatal</term>
<term>Stomatal conductance</term>
<term>Sunlit</term>
<term>Sunlit leaf</term>
<term>Temperate</term>
<term>Temporal resolution</term>
<term>Thickness modis</term>
<term>Tree physiol</term>
<term>Tropical forests</term>
<term>Upscaling</term>
<term>Vapor pressure</term>
<term>Vapor pressure deficit</term>
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<term>Warm summer</term>
<term>Water balance</term>
<term>Wind speed</term>
<term>Yuan</term>
<term>Zhao</term>
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<term>Aerosol product</term>
<term>Aerosol type</term>
<term>Agric</term>
<term>Albedo</term>
<term>Algorithm</term>
<term>Appl</term>
<term>Atmospheric radiative transfer</term>
<term>Atmospheric radiative transfer model</term>
<term>Available energy</term>
<term>Azure storage</term>
<term>Baldocchi</term>
<term>Bess</term>
<term>Bess model</term>
<term>Bioclimatic</term>
<term>Bioclimatic zones</term>
<term>Biol</term>
<term>Biophysical model</term>
<term>Boreal</term>
<term>Boreal forests</term>
<term>British columbia</term>
<term>Canopy</term>
<term>Canopy conductance</term>
<term>Canopy depth</term>
<term>Canopy fluxes</term>
<term>Canopy radiative transfer</term>
<term>Canopy radiative transfer model</term>
<term>Canopy reflectance</term>
<term>Clumped canopy</term>
<term>Clumping</term>
<term>Clumping index</term>
<term>Coefficient</term>
<term>Collatz</term>
<term>Conductance</term>
<term>Cool summer</term>
<term>Data gaps</term>
<term>Deciduous</term>
<term>Deciduous forest</term>
<term>Diffuse</term>
<term>Direct beam</term>
<term>Ecol</term>
<term>Ecosystem</term>
<term>Energy fluxes</term>
<term>Environ</term>
<term>Environmental science</term>
<term>Evaporation</term>
<term>Evapotranspiration</term>
<term>Evergreen</term>
<term>Extinction</term>
<term>Extinction coefficient</term>
<term>Farquhar</term>
<term>Flux tower</term>
<term>Flux tower data</term>
<term>Flux towers</term>
<term>Fluxnet</term>
<term>Foliar</term>
<term>Geophys</term>
<term>Global</term>
<term>Global biogeochem</term>
<term>Global change biol</term>
<term>Global climate classification</term>
<term>Global estimates</term>
<term>Global land</term>
<term>Global scale</term>
<term>Good agreement</term>
<term>Houborg</term>
<term>Humid</term>
<term>Ieee trans</term>
<term>Incoming longwave radiation</term>
<term>Incoming shortwave radiation</term>
<term>Input data</term>
<term>Input variables</term>
<term>Irradiance</term>
<term>Jung</term>
<term>Kobayashi</term>
<term>Land products</term>
<term>Land surface models</term>
<term>Land surface temperature</term>
<term>Latent heat flux</term>
<term>Leaf</term>
<term>Leaf area index</term>
<term>Leaf photosynthesis</term>
<term>Leuning</term>
<term>Longwave</term>
<term>Longwave radiation</term>
<term>Meteorol</term>
<term>Meteorological variables</term>
<term>Microsoft</term>
<term>Mmol</term>
<term>Modeling</term>
<term>Modis</term>
<term>Modis data</term>
<term>Modis land</term>
<term>Ncep data</term>
<term>Nearest neighborhood method</term>
<term>Nonlinear processes</term>
<term>Photosynthesis</term>
<term>Photosynthetic</term>
<term>Photosynthetic capacity</term>
<term>Physiol</term>
<term>Pixel</term>
<term>Plant cell environ</term>
<term>Point temperature</term>
<term>Previous studies</term>
<term>Primary productivity</term>
<term>Pury</term>
<term>Qnsh</term>
<term>Qnsun</term>
<term>Qpsh</term>
<term>Qpsun</term>
<term>Radiative</term>
<term>Rain forests</term>
<term>Reanalysis</term>
<term>Recent advances</term>
<term>Reflectance</term>
<term>Reichstein</term>
<term>Relative bias</term>
<term>Relative rmse</term>
<term>Remote sens</term>
<term>Rmse</term>
<term>Seasonal pattern</term>
<term>Seasonal variation</term>
<term>Section canopy radiative transfer model</term>
<term>Sens</term>
<term>Sensitivity analysis</term>
<term>Shade leaf</term>
<term>Shortwave</term>
<term>Sinusoidal</term>
<term>Sinusoidal projection</term>
<term>Sinusoidal tiles</term>
<term>Snir</term>
<term>Soil reflectance</term>
<term>Soil surface</term>
<term>Solar irradiance</term>
<term>Solar zenith angle</term>
<term>Spatial resolution</term>
<term>Stomatal</term>
<term>Stomatal conductance</term>
<term>Sunlit</term>
<term>Sunlit leaf</term>
<term>Temperate</term>
<term>Temporal resolution</term>
<term>Thickness modis</term>
<term>Tree physiol</term>
<term>Tropical forests</term>
<term>Upscaling</term>
<term>Vapor pressure</term>
<term>Vapor pressure deficit</term>
<term>Wang</term>
<term>Warm summer</term>
<term>Water balance</term>
<term>Wind speed</term>
<term>Yuan</term>
<term>Zhao</term>
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<front><div type="abstract">We propose the Breathing Earth System Simulator (BESS), an upscaling approach to quantify global gross primary productivity and evapotranspiration using MODIS with a spatial resolution of 1–5 km and a temporal resolution of 8 days. This effort is novel because it is the first system that harmonizes and utilizes MODIS Atmosphere and Land products on the same projection and spatial resolution over the global land. This enabled us to use the MODIS Atmosphere products to calculate atmospheric radiative transfer for visual and near infrared radiation wave bands. Then we coupled atmospheric and canopy radiative transfer processes, with models that computed leaf photosynthesis, stomatal conductance and transpiration on the sunlit and shaded portions of the vegetation and soil. At the annual time step, the mass and energy fluxes derived from BESS showed strong linear relations with measurements of solar irradiance (r2 = 0.95, relative bias: 8%), gross primary productivity (r2 = 0.86, relative bias: 5%) and evapotranspiration (r2 = 0.86, relative bias: 15%) in data from 33 flux towers that cover seven plant functional types across arctic to tropical climatic zones. A sensitivity analysis revealed that the gross primary productivity and evapotranspiration computed in BESS were most sensitive to leaf area index and solar irradiance, respectively. We quantified the mean global terrestrial estimates of gross primary productivity and evapotranpiration between 2001 and 2003 as 118 ± 26 PgC yr−1 and 500 ± 104 mm yr−1 (equivalent to 63,000 ± 13,100 km3 yr−1), respectively. BESS‐derived gross primary productivity and evapotranspiration estimates were consistent with the estimates from independent machine‐learning, data‐driven products, but the process‐oriented structure has the advantage of diagnosing sensitivity of mechanisms. The process‐based BESS is able to offer gridded biophysical variables everywhere from local to the total global land scales with an 8‐day interval over multiple years.</div>
</front>
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