0000000000637284

AUTHOR

Govindan Pandithurai

showing 3 related works from this author

Factors for inconsistent aerosol single scattering albedo between SKYNET and AERONET

2016

SKYNET and Aerosol Robotic Network (AERONET) retrieved aerosol single scattering albedo (SSA) values of four sites, Chiba (Japan), Pune (India), Valencia (Spain), and Seoul (Korea), were compared to understand the factors behind often noted large SSA differences between them. SKYNET and AERONET algorithms are found to produce nearly same SSAs for similarity in input data, suggesting that SSA differences between them are primarily due to quality of input data due to different calibration and/or observation protocols as well as difference in quality assurance criteria. The most plausible reason for high SSAs in SKYNET is found to be underestimated calibration constant for sky radiance (ΔΩ). T…

Atmospheric Science010504 meteorology & atmospheric sciencesMeteorologySingle-scattering albedomedia_common.quotation_subjectSKYNETAlbedo01 natural sciencesAERONETAerosol010309 opticsGeophysicsIntegrating sphereSpace and Planetary ScienceSky0103 physical sciencesEarth and Planetary Sciences (miscellaneous)RadianceEnvironmental science0105 earth and related environmental sciencesRemote sensingmedia_commonJournal of Geophysical Research: Atmospheres
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An overview and issues of the sky radiometer technology and SKYNET

2020

Abstract. This paper overviews the progress in the sky radiometer technology and development of the network called SKYNET. It is found that the technology has produced useful on-site calibration methods, retrieval algorithms, and data analyses from the sky radiometer observation of aerosol, cloud, water vapor and ozone. Increasing collaborations of users in the SKYNET community are becoming a useful platform for research and operation. The paper also presents issues of the technology for future development.

Radiometerbusiness.industrySkymedia_common.quotation_subjectSKYNETCalibrationEnvironmental scienceCloud computingbusinessWater vaporRetrieval algorithmRemote sensingmedia_common
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An overview of and issues with sky radiometer technology and SKYNET

2020

This paper is an overview of the progress in sky radiometer technology and the development of the network called SKYNET. It is found that the technology has produced useful on-site calibration methods, retrieval algorithms, and data analyses from sky radiometer observations of aerosol, cloud, water vapor, and ozone. A formula was proposed for estimating the accuracy of the sky radiometer calibration constant F0 using the improved Langley (IL) method, which was found to be a good approximation to observed monthly mean uncertainty in F0, around 0.5 % to 2.4 % at the Tokyo and Rome sites and smaller values of around 0.3 % to 0.5 % at the mountain sites at Mt. Sarasw…

Atmospheric Science010504 meteorology & atmospheric sciencesphotometrymedia_common.quotation_subjectskynet networkSKYNET010501 environmental sciences01 natural scienceslcsh:TA170-1710105 earth and related environmental sciencesmedia_commonRemote sensingAerosolsRadiometerDobson unitlcsh:TA715-787lcsh:Earthwork. FoundationsDiffuse sky radiationAlbedoaerosol optical propertiesAerosolAERONETlcsh:Environmental engineeringsky radiometerAtmosferaSkyEnvironmental scienceAtmospheric Measurement Techniques
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