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3S Integration Model of Sunshine Duration

Author: CaoZuo
Tutor: QiuXinFa；ZengYan
School: Nanjing University of Information Engineering
Course: Physical Geography
Keywords: MODIS Cloudiness Percentage of sunshine Sunshine hours
CLC: P422.11
Type: Master's thesis
Year: 2011
Downloads: 79
Quote: 4
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Abstract


This article on the basis of previous studies, considering the distribution ground factors and sky factor of sunshine hours space, sunshine hours 3S integrated model. Of a 1km × 1kmDEM data 2001-2003 MODIS Cloud Cover the weather station Cloud Cover 2001-2003, the percentage of sunshine and sunshine hours of observational data, a space simulation of hours of sunshine, and draw out the 2001 - 2003 1km × 1km resolution sunshine average and monthly average daily total space maps. In this paper, complete the following aspects: (1) weather station observations of total cloud amount, proposed the difference revised ratio revised, difference mixed revised, the ratio mixed revised and owned by one of mixed revised 5 MODIS cloud the amount of products the revised methodology, the revised 2001-2003 MODIS Cloud Cover digital products (MOD06). And on this basis, corresponding to establish a computational model of low cloud cover, calculated for 2001-2003 5 km x 5 km low cloud cover raster image data. Performance evaluation, five kinds the MODIS Cloud Cover revised methods are effective, which revised ratio for optimal revised methodology. Of MODIS cloud the revised total cloud amount and weather station in the spatial distribution characteristics and values ??are very consistent verify encrypted station, less than 5% of the total cloud amount each month absolute error of the mean. Likewise, the the proven low clouds the ratio calculation model in the space dimension and time dimension also has good stability and reliability. (2) based on the cloud amount and percentage of sunshine, a good linear relationship, the introduction of satellite remote sensing data, considering the total cloud amount and low cloud cover sunshine percentage, percentage of sunshine remote sensing estimation models achieve 2001-2003 5km × 5km of sunshine percentage space simulation. The sunshine percentage Analog average annual absolute error of about 5%, annual average relative error of about 10%. From the spatial distribution of point of view, very consistent with the overall trend of the simulation results of the model with weather stations sunshine percentage. From the the partial map point of view, compared with ground-based observations, the percentage of sunshine simulation results show more detailed, clear, reflecting the advantages of satellite observations. (3) DEM data reflect ground factors reflect the sky factors MODIS Cloud Cover, sunshine hours 3S integrated model, the completion of the 2001-2003 1km × 1km resolution of sunshine hours spatial mapping. Model simulated monthly average absolute error of 0.15-0.16 hours, monthly mean relative error of 2.34% -4.64% verify encrypted Station, have a good time dimension and spatial dimension simulation capabilities sunshine 3S integrated model, the simulation results reflect the macro-distribution trends and local distribution characteristics. Innovative work of this paper: (1) ground-based observations MODIS Cloud Cover revised method give full play to the advantages of satellite observations, to make up ground weather stations in a wide range of time and space on the continuous observation of the lack of Corrections related satellite using ground observations digital products to provide a reference method, on the plateau, desert, mountain ground station scarce research is of great significance. (2) the establishment of sunshine hours 3S integrated model, with the help of GIS / RS technologies, organic integrated basic geographic data, satellite remote sensing data and weather station data, DEM data to solve the uneven ground, sky satellite remote sensing data to solve uneven, and sunshine hours space, to provide a reference for other meteorological elements in space research, with certain promotional value.

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CLC: > Astronomy,Earth Sciences > Atmospheric science (meteorology ) > Meteorological elements,atmospheric phenomenon > Atmospheric radiation > Solar radiation > Sunshine
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