作者: Martin Stengel , Stefan Stapelberg , Oliver Sus , Stephan Finkensieper , Benjamin Würzler
关键词: Satellite 、 Remote sensing 、 Shortwave 、 Longwave 、 Atmosphere 、 Downwelling 、 Radiative flux 、 Environmental science 、 Advanced very-high-resolution radiometer 、 Cloud computing
摘要: Abstract. We present version 3 of the Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset, which contains a comprehensive set cloud and radiative flux properties on global scale covering period 1982 to 2016. The were retrieved from AVHRR measurements recorded by afternoon (post – PM) satellites National Oceanic Atmospheric Administration (NOAA) Polar Operational Environmental Satellite (POES) missions. in are improved quality compared with precursor dataset 2, providing better scores for detection, phase ice water path based validation results against A-Train sensors. Furthermore, parameter was extended suite broadband properties. They calculated combining thermodynamic profiles reanalysis surface comprise upwelling downwelling shortwave longwave fluxes at (bottom atmosphere BOA) top (TOA). All determined pixel level all-sky clear-sky conditions, will particularly facilitate assessment effect BOA TOA future studies. Validation Baseline Surface Radiation Network (BSRN) shows very good agreement. This is supported comparisons multi-annual mean maps NASA's Clouds Earth's Radiant Energy System (CERES) products all TOA. AVHRR-PM (Cloud_cci AVHRR-PMv3) allows large variety climate applications that build properties, and/or link between them. For presented AVHRR-PMv3 digital object identifier has been issued: https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-PM/V003 ( Stengel et al. , 2019 ) .