• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Wang, F. (Wang, F..) [1] | Qi, M. (Qi, M..) [2] | Ren, S. (Ren, S..) [3] | Zhu, M. (Zhu, M..) [4] | Xing, Q. (Xing, Q..) [5] | Wang, M. (Wang, M..) [6] | Song, H. (Song, H..) [7] | Wang, Q. (Wang, Q..) [8] | Liu, P. (Liu, P..) [9]

Indexed by:

Scopus

Abstract:

In order to understand the mechanism of dust aerosol influence on regional climate change, it is crucial to quantify the radiative forcing effect of dust aerosols. However, studies on the direct radiative forcing of dust aerosols over long time series in China are still lacking. The direct radiative forcing effect of dust aerosols in China over the past 20 years was simulated and evaluated based on the WRF-Chem (Weather Research and Forecasting model coupled to Chemistry) model in conjunction with remote sensing satellites and ground-based observations. The results showed that dust aerosols exhibited an obvious inter-annual positive radiative forcing effect (about 0.38 W m−2) on net radiation at the top of the atmosphere, mainly in northwest China and the North China Plain, while at the atmosphere dust aerosols presented negative radiative forcing effects on shortwave radiation and positive effects on longwave radiation, with a value of 1.54 W m−2 of net radiative forcing, showing a warming effect. Dust aerosols have a net radiative forcing value of −1.16 W m−2 at the surface, indicating a cooling effect, with a positive forcing effect on longwave radiation and a negative forcing effect on shortwave radiation, both of which coincide with the geographical distribution of dust aerosol concentrations. In terms of inter-monthly variations, at both the atmosphere and top of the atmosphere, the dust aerosols net radiative forcing values showed an increasing trend, with March (−0.20 W m−2 and 0.68 W m−2) < April (0.48 W m−2 and 1.44 W m−2) < May (0.94 W m−2 and 2.42 W m−2). Meanwhile, at the surface, the dust aerosols net radiative forcing values displayed a decreasing trend, with March (−0.88 W m−2) > April (−0.96 W m−2) > May (−1.48 W m−2). © 2023 by the authors.

Keyword:

China dust aerosol radiative forcing temporal and spatial distribution WRF-chem model

Community:

  • [ 1 ] [Wang F.]Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Ministry of Education, Kaifeng, 475004, China
  • [ 2 ] [Wang F.]Key Research Institute of Yellow River Civilization and Sustainable Development and Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, 475004, China
  • [ 3 ] [Wang F.]Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
  • [ 4 ] [Qi M.]Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Ministry of Education, Kaifeng, 475004, China
  • [ 5 ] [Qi M.]Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
  • [ 6 ] [Ren S.]Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Ministry of Education, Kaifeng, 475004, China
  • [ 7 ] [Ren S.]Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
  • [ 8 ] [Zhu M.]Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Ministry of Education, Kaifeng, 475004, China
  • [ 9 ] [Zhu M.]Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
  • [ 10 ] [Xing Q.]Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Ministry of Education, Kaifeng, 475004, China
  • [ 11 ] [Xing Q.]Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
  • [ 12 ] [Wang M.]Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Ministry of Education, Kaifeng, 475004, China
  • [ 13 ] [Wang M.]Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
  • [ 14 ] [Song H.]Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Ministry of Education, Kaifeng, 475004, China
  • [ 15 ] [Song H.]Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China
  • [ 16 ] [Song H.]Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, Henan University, Kaifeng, 475004, China
  • [ 17 ] [Wang Q.]College of Environment and Safety Engineering, Fuzhou University, Fuzhou, 350116, China
  • [ 18 ] [Liu P.]Key Research Institute of Yellow River Civilization and Sustainable Development and Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, 475004, China
  • [ 19 ] [Liu P.]Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China

Reprint 's Address:

Email:

Show more details

Related Keywords:

Source :

Remote Sensing

ISSN: 2072-4292

Year: 2023

Issue: 18

Volume: 15

4 . 2

JCR@2023

4 . 2 0 0

JCR@2023

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Affiliated Colleges:

Online/Total:179/10063063
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1