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Volume 14, issue 23 | Copyright

Special issue: Integrated Land Ecosystem-Atmosphere Processes Study (iLEAPS)...

Atmos. Chem. Phys., 14, 13097-13117, 2014
https://doi.org/10.5194/acp-14-13097-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 10 Dec 2014

Research article | 10 Dec 2014

Development of a 10-year (2001–2010) 0.1° data set of land-surface energy balance for mainland China

X. Chen1, Z. Su1, Y. Ma2, S. Liu3, Q. Yu4, and Z. Xu3 X. Chen et al.
  • 1Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, the Netherlands
  • 2Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, CAS Center for Excellence and Innovation in Tibetan Plateau Earth Sciences, Beijing, China
  • 3State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing, China
  • 4Plant Functional Biology & Climate Change Cluster, University of Technology, Sydney, PO Box 123, Broadway, NSW 2007, Australia

Abstract. In the absence of high-resolution estimates of the components of surface energy balance for China, we developed an algorithm based on the surface energy balance system (SEBS) to generate a data set of land-surface energy and water fluxes on a monthly timescale from 2001 to 2010 at a 0.1 × 0.1° spatial resolution by using multi-satellite and meteorological forcing data. A remote-sensing-based method was developed to estimate canopy height, which was used to calculate roughness length and flux dynamics. The land-surface flux data set was validated against "ground-truth" observations from 11 flux tower stations in China. The estimated fluxes correlate well with the stations' measurements for different vegetation types and climatic conditions (average bias = 11.2 Wm−2, RMSE = 22.7 Wm−2). The quality of the data product was also assessed against the GLDAS data set. The results show that our method is efficient for producing a high-resolution data set of surface energy flux for the Chinese landmass from satellite data. The validation results demonstrate that more accurate downward long-wave radiation data sets are needed to be able to estimate turbulent fluxes and evapotranspiration accurately when using the surface energy balance model. Trend analysis of land-surface radiation and energy exchange fluxes revealed that the Tibetan Plateau has undergone relatively stronger climatic change than other parts of China during the last 10 years. The capability of the data set to provide spatial and temporal information on water-cycle and land–atmosphere interactions for the Chinese landmass is examined. The product is free to download for studies of the water cycle and environmental change in China.

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