scholarly journals An Algorithm for the Retrieval of Aerosol Optical Depth from Geostationary Satellite Data in Thailand

1970 ◽  
Vol 8 (3) ◽  
pp. 32-41
Author(s):  
Itsara Masiri ◽  
Serm Janjai ◽  
Treenuch Jantarach
Keyword(s):  
Solar Radiation ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Satellite Data ◽  
Reasonable Agreement ◽  
Surface Albedo ◽  
Computer Code ◽  
Geostationary Satellite ◽  
Digital Data ◽  
Main Input

An algorithm was developed to estimate aerosol optical depth (AOD) from geostationary satellite data. The 6S radiative transfer computer code was employed to generate a look-up table (LUT) which incorporates several combinations of satellite-derived variables including earthatmospheric reflectivity, atmospheric reflectivity and surface albedo. The parameterization of the satellite-derived atmospheric reflectivity accounted for the scattering of solar radiation by clouds, absorption of solar radiation by water vapour, ozone and gases and solar radiation depletion by aerosols. The digital data of the MTSAT-1R satellite were used as the main input of the algorithm. For the validation, the values of AOD derived from this algorithm were compared with those obtained from four sites of Aerosol Robotic Network (AERONET) in Thailand, and a reasonable agreement was found. DOI: http://dx.doi.org/10.3126/jie.v8i3.5929 JIE 2011; 8(3): 32-41

scholarly journals Mapping Global Solar Radiation from Long-Term Satellite Data in the Tropics Using an Improved Model

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
S. Janjai ◽  
I. Masiri ◽  
S. Pattarapanitchai ◽  
J. Laksanaboonsong
Keyword(s):  
Solar Radiation ◽  
Satellite Data ◽  
Precipitable Water ◽  
Global Solar Radiation ◽  
Digital Data ◽  
Radiation Absorption ◽  
Monthly Average ◽  
Main Input ◽  
Improved Model ◽  
The Tropics

This paper presents an improved model and its application for mapping global solar radiation from satellite data in the tropics. The model provides a more complete description of the absorption and scattering of solar radiation in the earth-atmosphere system as compared to the earlier models. The study is conducted in the tropical environment of Thailand. Digital data from the visible channel of GMS4, GMS5, GOES9, and MTSAT-1R satellites collected during a 15-year period (1995–2009) are used as a main input to the model. Satellite gray levels are converted into earth-atmospheric reflectivity and used to estimate the cloud effect. The absorption of solar radiation due to water vapour is computed from precipitable water derived from ambient temperature and relative humidity. The total ozone column data from TOMS/EP and OMI/AURA satellites are used to compute solar radiation absorption by ozone. The depletion of solar radiation due to aerosol is estimated from visibility data. In order to test its performance, the model is employed to calculate monthly average daily global solar radiation at 36 solar monitoring stations across the country. It is found that solar radiation calculated from the model and that obtained from the measurement are in good agreement, with a root mean square difference of 5.3% and a mean bias difference of 0.3%. The model is used to calculate the monthly average daily global solar radiation over the entire country, and results are displayed as monthly and yearly maps. These maps reveal that the geographical distribution of solar radiation in Thailand is strongly influenced by the tropical monsoons and local geographical features.

Retrieval of Aerosol Optical Depth Over Land Using Fy-4Aagri Geostationary Satellite Data

2021 ◽  
Author(s):  
Xingxing Jiang ◽  
Yong Xue ◽  
Chunlin Jin ◽  
Rui Bai ◽  
Na Li ◽  
...  
Keyword(s):  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Satellite Data ◽  
Geostationary Satellite ◽  
Land Using

scholarly journals An Improved Model for the Estimation of Solar Radiation from Satellite Data for Thailand

1970 ◽  
Vol 8 (3) ◽  
pp. 130-139
Author(s):  
Serm Janjai ◽  
Itsara Masiri ◽  
Somjet Pattarapanitchai ◽  
Jarungsaeng Laksanaboonsong
Keyword(s):  
Solar Radiation ◽  
Satellite Data ◽  
Global Solar Radiation ◽  
Original Model ◽  
Digital Data ◽  
Multiple Reflections ◽  
Surface Solar Radiation ◽  
Main Input ◽  
Mean Square Difference ◽  
Improved Model

This paper presents an improved model for estimating surface solar radiation from satellite data for Thailand. Digital data from the visible channel of the GOES9 and MTSAT-1R satellites were used as the main input data of the model. This model accounted for the scattering of solar radiation by clouds, absorption of solar radiation by water vapour, ozone and gases and solar radiation depletion by aerosols. Additionally, the multiple reflections between the atmosphere and the ground in satellite band, which were ignored in the original model, were included in the improved model. For testing its validity, the model was employed to calculate monthly average daily global solar radiation at 38 solar monitoring stations in Thailand. It was found that the solar radiation calculated from the model and that obtained from the measurements were in good agreement, with a root mean square difference (RMSD) of 6.1% and mean bias difference (MBD) of 0.3%. The performance of the improved model was better than that of the original model. DOI: http://dx.doi.org/10.3126/jie.v8i3.5939 JIE 2011; 8(3): 130-139

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