Astronomy & Space Sciences
Title : | Estimation of the incoming long wave radiation under cloudy sky condition |
Area of research : | Astronomy & Space Sciences |
Focus area : | Remote Sensing |
Contact info : | nidhi_misra@nrsc.gov.in |
Details
Executive Summary : | Estimation of net long wave radiation is important for the surface radiation budget calculation, which controls the evapotranspiration from the earth surface. Incoming longwave (4-100µm) radiation(ILR) depends on meteorological parameters i.e. air temperature and dew point temperature. Changes in the atmospheric conditions are mainly responsible for the change in air temperature and dew point temperature of the surface. The effective incoming longwave radiation to the earth surface becomes less in comparison to the clear sky condition as the cloud and aerosols present in the atmosphere absorb or reflect back some amount of radiation. The objective of this study is to estimate the incoming longwave radiation under the influence of the cloud and aerosol particles present in the atmosphere. Remote sensing techniques can calculate the aerosol particle concentration and cloud conditions present in atmosphere from satellite derived datasets. Atmospheric condition state can be integrated with the current meteorological conditions for the ILR estimation.Various studies consider the cloud effect and estimated ILR based on cloud classification. First cloud type can be identified and proportionally ILR estimates can be obtained based on the in situ observations. The objective of this study is to include the cloudy conditions and estimate the instantaneous / daily incoming long wave radiation. Appropriate methods needs to be adopted for cloud classification from satellite derived datasets. Including the effect of aerosol and cloud ILR product is proposed to be estimated in this study.Further the generated ILR for all sky condition data sets can be validated with theground observations of the instantaneous /daily incoming long wave radiation of all sky conditions. |
Co-PI: | Nidhi Misra, National Remote Sensing Centre (NRSC), Hyderabad, Anurag Mishra, National Remote Sensing Centre (NRSC), Hyderabad |
Organizations involved
