Open AccessEvaluation of Parameterizations of Incoming Longwave Radiation in the High-Mountain Region of the Tibetan Plateau
Author(s) -
Meilin Zhu,
Tandong Yao,
Wei Yang,
Baiqing Xu,
Xiaojun Wang
Publication year - 2017
Publication title -
journal of applied meteorology and climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.079
H-Index - 134
eISSN - 1558-8432
pISSN - 1558-8424
DOI - 10.1175/jamc-d-16-0189.1
Subject(s) - environmental science , sky , longwave , plateau (mathematics) , terrain , cloud cover , meteorology , cirrus , liquid water path , overcast , emissivity , planetary boundary layer , atmospheric sciences , radiative transfer , climatology , remote sensing , cloud computing , geology , geography , aerosol , computer science , physics , mathematical analysis , turbulence , mathematics , cartography , quantum mechanics , optics , operating system
Accurate evaluations of incoming longwave radiation ( L in ) parameterization have practical implications for glacier and river runoff changes in high-mountain regions of the Tibetan Plateau (TP). To identify potential means of accurately predicting spatiotemporal variations in L in , 13 clear-sky parameterizations combined with 10 cloud corrections for all-sky atmospheric emissivity were evaluated at five sites in high-mountain regions of the TP through temporal and spatial parameter transfer tests. Most locally calibrated parameterizations for clear-sky and all-sky conditions performed well when applied to the calibration site. The best parameterization at five sites is Dilley and O’Brien’s A model combined with Sicart et al.’s A for cloud-correction-incorporated relative humidity. The performance of parameter transferability in time is better than that in space for the same all-sky parameterizations. The performance of parameter transferability in space presents spatial discrepancies. In addition, all all-sky parameterizations show a decrease in performance with increasing altitude regardless of whether the parameters of all-sky parameterizations were recalibrated by local conditions or transferred from other study sites. This may be attributable to the difference between screen-level air temperature and the effective atmospheric boundary layer temperature and to different cloud-base heights. Nevertheless, such worse performance at higher altitudes is likely to change because of terrain, underlying surfaces, and wind systems, among other factors. The study also describes possible spatial characteristics of L in and its driving factors by reviewing the few studies about L in for the mountain regions of the TP.