Date of Award
8-2016
Degree Type
Thesis
Degree Name
Master of Science in GIS for Development and Environment (GISDE)
Department
International Development, Community and Environment
Chief Instructor
John Rogan
Keywords
Remote sensing, Tibet, Solar irradiance, MODIS, 3D radiative transfer model
Abstract
Measuring the solar irradiance with high accuracy is the basis of PV power forecasting. Although the downward surface shortwave radiation (DSSR) data derived from satellite images are widely used in the PV industry, the instantaneity and accuracy of these data are not suitable for PV power forecasting in a short-time period. In this study, an algorithm to calculate instantaneous DSSR for all-sky conditions was developed by combining clear-sky radiative transfer model and 3D radiative transfer model using MODIS products (MOD03-07, 09). The algorithm was evaluated by ground measurements from a station in Lhasa and a reference dataset from FLASHFlux. The results indicate that the errors of DSSR using combining model are less than FLASHFlux. The time consuming of running 3D radiative transfer model can be reduced by narrowing down the extent of input data to 8km.
Recommended Citation
Lu, Xu, "Estimation of the instantaneous downward surface shortwave radiation using MODIS data in Lhasa for all-sky conditions" (2016). Sustainability and Social Justice. 99.
https://commons.clarku.edu/idce_masters_papers/99
