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Modeling Daily Net Shortwave Radiation Over Rugged Surfaces Using MODIS Atmospheric Products

IGARSS 2011 at Vancouver. Modeling Daily Net Shortwave Radiation Over Rugged Surfaces Using MODIS Atmospheric Products. 28 July 2011 Zhang Hailong, Xin Xiaozhou, Liu Qinhuo State Key Laboratory of Remote Sensing Science Institute of Remote Sensing Applications Chinese Academy of Sciences.

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Modeling Daily Net Shortwave Radiation Over Rugged Surfaces Using MODIS Atmospheric Products

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  1. IGARSS 2011 at Vancouver Modeling Daily Net Shortwave Radiation Over Rugged Surfaces Using MODIS Atmospheric Products 28 July 2011 Zhang Hailong, Xin Xiaozhou, Liu Qinhuo State Key Laboratory of Remote Sensing Science Institute of Remote Sensing Applications Chinese Academy of Sciences IGARSS 2011

  2. Outline • Background • Data and methodology • Results and discussion • Conclusion IGARSS 2011

  3. Background • NSSR (Net Surface Shortwave Radiation ) controls the total energy exchange between the atmosphere and the land surface. • NSSR is not measured in most regular meteorological sites. • NSSR products (ISCCP/GEWEX/CERES) have fine temporal resolution but coarse spatial resolutions. IGARSS 2011

  4. Background IGARSS 2011

  5. Data and methodology • Data for model input and validation IGARSS 2011

  6. Data and methodology • NSSR retrieval • Global solar radiation IGARSS 2011

  7. Data and methodology • Beam • Diffuse • Reflected • Global downward solar radiation IGARSS 2011

  8. Data and methodology • 3D effects of cloud IGARSS 2011

  9. Sensor P C h A O’ O B Data and methodology • Viewing angle correction Viewing position True position IGARSS 2011

  10. Data and methodology • Solar angle correction Solar C True position h A shadow position O’ O B IGARSS 2011

  11. Results and discussion • Model validation (X-axis: observed values; Y-axis: modeled values. Unit: MJ/(m2·d) ) IGARSS 2011

  12. Results and discussion • Model validation (X-axis: observed values; Y-axis: modeled values. Unit: MJ/(m2·d) ) IGARSS 2011

  13. Horizontal surface rugged surface Results and discussion • Model validation IGARSS 2011

  14. Results and discussion • Error analysis • spatial resolution gaps between the observed and retrieved data. • coarse spatio-temporal resolution of the MODIS atmospheric products • Errors from the data sources: The maximum uncertainty of the MODIS cloud-detection algorithm is 200% (Houborg, 2007) IGARSS 2011

  15. Conclusion • Terrain is a main factor of NSSR attenuation under clear sky • Cloud plays a greater role than terrain under cloudy sky • moderately maps of NSSR on rugged surface can be produced using MODIS data • The geostationary satellites holds great promise for accurate estimation of NSSR IGARSS 2011

  16. Thank You IGARSS 2011

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