In this study, a new stand-alone satellite approach for the estimation of net surface radiation (R n ) has been implemented and validated for the Italian territory. The method uses the MODIS and MSG-SEVIRI time series products and it is independent of the use of ancillary data (i.e. ground measurements). A database of daily measurements of R n , provided by 9 stations of the FLUXNET network, was used to validate the method in different ecological scenarios in the period 2010-12. The R n modelled by the proposed approach and the corresponding FLUXNET measurements were in good agreement, with RMSE and R 2 of 19.8 Wm −2 and 0.87, respectively, at 8-days scale, and 23.3 Wm −2 and 0.92, respectively, at daily scale. Therefore, the proposed approach can be considered effective for the estimation of spatial and temporal variability of R n , which is a key variable related to the management of water resources, agriculture, ecology and climate change.

A satellite stand-alone procedure for deriving net radiation by using SEVIRI and MODIS products

Ramírez-Cuesta, J. M.;Vanella, D.
;
Consoli, S.;
2018-01-01

Abstract

In this study, a new stand-alone satellite approach for the estimation of net surface radiation (R n ) has been implemented and validated for the Italian territory. The method uses the MODIS and MSG-SEVIRI time series products and it is independent of the use of ancillary data (i.e. ground measurements). A database of daily measurements of R n , provided by 9 stations of the FLUXNET network, was used to validate the method in different ecological scenarios in the period 2010-12. The R n modelled by the proposed approach and the corresponding FLUXNET measurements were in good agreement, with RMSE and R 2 of 19.8 Wm −2 and 0.87, respectively, at 8-days scale, and 23.3 Wm −2 and 0.92, respectively, at daily scale. Therefore, the proposed approach can be considered effective for the estimation of spatial and temporal variability of R n , which is a key variable related to the management of water resources, agriculture, ecology and climate change.
2018
FLUXNET; MODIS; MSG-SEVIRI; Net radiation; Vegetation characteristics; Global and Planetary Change; Earth-Surface Processes; Computers in Earth Sciences; Management, Monitoring, Policy and Law
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/362804
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