The Spatio-Temporal Variability in the Radiative Forcing of Light-Absorbing Particles in Snow of 2003–2018 over the Northern Hemisphere from MODIS

• Published in: Remote Sensing
• Main Authors: Jiecan Cui, Xiaoying Niu, Yang Chen, Yuxuan Xing, Shirui Yan, Jin Zhao, Lijun Chen, Shuaixi Xu, Dongyou Wu, Tenglong Shi, Xin Wang, Wei Pu
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2023
• Subjects: light-absorbing particles (LAPs); remote sensing; snow albedo; radiative forcing; Science; Q; Greenland
• Online Access: https://doi.org/10.3390/rs15030636; https://doaj.org/article/1886c24b80e048bf8b1ace94a5e458fc

Light-absorbing particles (LAPs) deposited on snow can significantly reduce surface albedo and contribute to positive radiative forcing. This study firstly estimated and attributed the spatio-temporal variability in the radiative forcing (RF) of LAPs in snow over the northern hemisphere during the snow-covered period 2003–2018 by employing Moderate Resolution Imaging Spectroradiometer (MODIS) data, coupled with snow and atmospheric radiative transfer modelling. In general, the RF for the northern hemisphere shows a large spatial variability over the whole snow-covered areas and periods, with the highest value (12.7 W m −2 ) in northeastern China (NEC) and the lowest (1.9 W m −2 ) in Greenland (GRL). The concentration of LAPs in snow is the dominant contributor to spatial variability in RF in spring (~73%) while the joint spatial contributions of snow water equivalent (SWE) and solar irradiance (SI) are the most important (>50%) in winter. The average northern hemisphere RF gradually increases from 2.1 W m −2 in December to 4.1 W m −2 in May and the high-value area shifts gradually northwards from mid-altitude to high-latitude over the same period, which is primarily due to the seasonal variability of SI (~58%). More interestingly, our data reveal a significant decrease in RF over high-latitude Eurasia (HEUA) of −0.04 W m −2 a −1 and northeastern China (NEC) of −0.14 W m −2 a −1 from 2003 to 2018. By employing a sensitivity test, we find the concurrent decline in the concentration of LAPs in snow accounted for the primary responsibility for the decrease in RF over these two areas, which is further confirmed by in situ observations.