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This new study develops an algorithm for Short Wave upwelling Radiative Flux(SWupRF) for the spectral variations within near infrared (NIR) from 1100 to1700 nm wavelength band based on remote sensing data set of Argus 1000micro-spectrometer observations. We calculate the SWupRF by investigating thetotal radiative flux due to O2, H2O, CO2 and CH4 and also by the individual gaswithin the selected wavelength bands of interest. A GENSPECT synthetic line byline radiative transfer model is applied to perform radiative transfersimulations to calculate the radiative flux by varying surface albedo, mixingratios of the selected greenhouse gases, surface temperature, solar sun andzenith angles with different latitude and longitude of the instrument. Finally,the SWupRFsyn estimated from GENSPECT was compared with SWupRFobs from Argus1000 over a period of four years (2009 and 2013) covering all seasons. Wecalculate and compare both the synthetic and real measured observed data set.The synthetic model gives SWupRFsyn within the range of [0.3950 to 1.650] W/m2and the selected Argus observed model gives SWupRFobs within the range of [0.10to 3.15] W/m2. The simulated range of synthetic model also represents 1 to 32 Krise of temperature within the different concentration of water vapor and othergases. The authors determined that the satellite observed data of week 75 pass43 & week 08 pass 61 showing minimum 0.850 [0.10 to 1.60] W/m2 and maximum 1.65[0.12 to 3.15] W/m2 respectively.

Short Wave upwelling Radiative Flux (SWupRF) within NIR range for the  selected greenhouse wavelength bands of O2, H2O, CO2 and CH4 by Argus 1000  along with GENSPECT line by line radiative transfer model