Comparisons of time series of annual mean surface air temperature for China since the 1900s: Observations, model simulations and extended reanalysis

Li, Qingxiang, Zhang, Lei, Xu, Wenhui, Zhou, Tianjun, Wang, Jinfeng, Zhai, Panmao and Jones, Phil (2017) Comparisons of time series of annual mean surface air temperature for China since the 1900s: Observations, model simulations and extended reanalysis. Bulletin of the American Meteorological Society, 98. 699–711. ISSN 0003-0007

[img]
Preview
PDF (Li et al 20160822_as_finally_submitted) - Submitted Version
Download (401kB) | Preview

Abstract

This paper assesses the similarities and differences of several annual average SAT time series for China based on historical meteorological observations since the 1900s. Time series of global or regional average surface air temperature (SAT) are fundamental to climate change studies. A number of studies have developed several national and regional SAT series for China, but due to the diversity of meteorological observational sites, different quality control routines for data and the inconsistency of statistical methods used, they differ in long-term trends. This paper assesses the similarities and differences of the existing time series of the annual average SAT for China that are based upon historical meteorological observations since the 1900s. The results indicate that the China average is similar to the series for the Northern Hemisphere (NH) landmass, except that the initial warming of the NH series derived from the CRUTEM3/4 datasets ends earlier (before the early 1940s) than in China’s series. A major difference among the existing China average time series is the 1940s warmth, a period when there were very few observations across the country due to World War II. The SAT anomalies for China during the 1930s-1940s have been reduced by improved homogeneity assessment compared to previous estimates. The new improved time series is in better agreement with both the historical 20th century reanalysis data and the historical climate simulation of CMIP5 models. The new time series also shows the slowdown of the warming trend during the past 18 years (1998-2015). The best estimate of a linear trend for increases in temperature with a 95% uncertainty range is 0.121±0.009 °C per decade for 1900-2015, indicating that the improved homogeneity assessment for China leads to a slightly greater trend than that based on raw data (0.107±0.009 °C per decade).

Item Type: Article
Faculty \ School: Faculty of Science > School of Environmental Sciences
Related URLs:
Depositing User: Pure Connector
Date Deposited: 24 Sep 2016 00:55
Last Modified: 17 Mar 2020 22:22
URI: https://ueaeprints.uea.ac.uk/id/eprint/60275
DOI: 10.1175/BAMS-D-16-0092.1

Actions (login required)

View Item View Item