Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Accueil du site → Master → Chine → 2020 → The Effect of Vegetation Cover Change on Regional Climate Effect of Dust over Northern China Based on RegCM

Chang’an University (长安大学) 2020

The Effect of Vegetation Cover Change on Regional Climate Effect of Dust over Northern China Based on RegCM

周潮伟

Titre : The Effect of Vegetation Cover Change on Regional Climate Effect of Dust over Northern China Based on RegCM

Auteur : 周潮伟

Grade : Master 2020

Université : Chang’an University (长安大学)

Résumé partiel
The spatiotemporal changes of sand and dust events are affected by global climate change and human activities,which have a significant impact on the regional climate.This study used AVHRR VCF data,combined with satellite-based terrain data,and GIMMS NDVI data products to build a BATS-based annual land cover data(AVHRR-BATS).At the same time,based on land use status database of remote sensing monitoring in China and its classification system,with ERA-interim global atmospheric reanalysis data as climate forcing data,the availability of the AVHRR-BATS land cover data and the data in the simulation of sand and dust events based on BATS land surface model were verified.Through the comparison of spring scenarios during 2000~2015,the impact of surface cover changes on sand and dust events in northern China and its climatic effects were simulated.The effects of sand and dust on temperature and precipitation under the background of vegetation change and climate change were explained by the spatiotemporal changes of sand dust aerosol radiative forcing and circulation.The main research conclusions are :(1)The Reg CM-DUST coupling model can better simulate the spatiotemporal distribution of sand and dust events,and the process of sand and dust discharge and transportation in northern China.Although the Reg CM-DUST coupling model and MERRA2 have significant differences in the sand and dust simulation,their DAOD based on 2 land surface models and 4 underlying surface data simulations all show good consistency with MERRA2 DAOD.The interannual change trends of the two are roughly the same,with an average correlation coefficient of 0.769 and an average offset of 0.083.Among them,the sand and dust event simulated by the AVHRR VCF data decision tree classification results as the input of the BATS land surface model is superior to the other three scenarios in terms of spatial and temporal distribution.The RMSE in the spatial distribution is 0.062,and the offset in the temporal distribution is 0.058±0.050.The results show that the sand and dust events simulated under the land surface model and underlying surface data are more suitable for studying the impact of vegetation changes on sand and dust events in northern China.

Mots clés : Dust event ;RegCM;Vegetation cover change ;Northern China ;Climate effect ;

Présentation (CNKI)

Page publiée le 6 avril 2022