Literature DB >> 30340284

Satellite-based regional warming hiatus in China and its implication.

Long Li1, Yong Zha2.   

Abstract

The slowdown in global warming since 1998, often termed the global warming hiatus. Reconciling the "hiatus" is a main focus in the 2013 climate change conference. Accurately characterizing the spatiotemporal trends in surface air temperature (SAT) is helps to better understand the "hiatus" during the period. This article presents a satellite-based regional warming simulation to diagnose the "hiatus" for 2001-2015 in China. Results show that the rapid warming is mainly in western and southern China, such as Yunnan (mean ± standard deviation: 0.39 ± 0.26 °C (10 yr)-1), Tibet (0.22 ± 0.25 °C (10 yr)-1), Taiwan (0.21 ± 0.25 °C (10 yr)-1), and Sichuan (0.19 ± 0.25 °C (10 yr)-1). On the contrary, there is a cooling trend by 0.29 ± 0.26 °C (10 yr)-1 in northern China during the recent 15 yr, where a warming rate about 0.38 ± 0.11 °C (10 yr)-1 happened for 1960-2000. Overall, satellite simulation shows that the warming rate is reduced to -0.02 °C (10 yr)-1. The changes in underlying surface, Earth's orbit, solar radiation and atmospheric counter radiation (USEOSRACR) cause China's temperature rise about 0.02 °C (10 yr)-1. A combination of greenhouse gases (GHGs) and other natural forcing (ONAT, predominately volcanic activity, and atmosphere and ocean circulation) explain another part of temperature trend by approximately -0.04 °C (10 yr)-1. We conclude that there is a regional warming hiatus, a pause or a slowdown in China, and imply that GHGs-induced warming is suppressed by ONAT in the early 21st century.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Anthropogenic forcing; Climate change; Global warming hiatus; MODIS; Natural variability; Remote sensing

Year:  2018        PMID: 30340284     DOI: 10.1016/j.scitotenv.2018.08.233

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Evaluation and Future Projection of Extreme Climate Events in the Yellow River Basin and Yangtze River Basin in China Using Ensembled CMIP5 Models Data.

Authors:  Zigeng Niu; Lan Feng; Xinxin Chen; Xiuping Yi
Journal:  Int J Environ Res Public Health       Date:  2021-06-03       Impact factor: 3.390

  1 in total

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