Further-Adjusted Long-Term Temperature Series in China Based on MASH

Li, Zhen, Yan, Zhongwei, Cao, Lijuan and Jones, Phil D. (2018) Further-Adjusted Long-Term Temperature Series in China Based on MASH. Advances in Atmospheric Sciences, 35 (8). pp. 909-917. ISSN 0256-1530

[img]
Preview
PDF (Published manuscript) - Published Version
Available under License Creative Commons Attribution.

Download (324kB) | Preview

Abstract

A set of homogenized monthly mean surface air temperature (SAT) series at 32 stations in China back to the 19th century had previously been developed based on the RHtest method by Cao et al., but some inhomogeneities remained in the dataset. The present study produces a further-adjusted and updated dataset based on the Multiple Analysis of Series for Homogenization (MASH) method. The MASH procedure detects 33 monthly temperature records as erroneous outliers and 152 meaningful break points in the monthly SAT series since 1924 at 28 stations. The inhomogeneous parts are then adjusted relative to the latest homogeneous part of the series. The new data show significant warming trends during 1924–2016 at all the stations, ranging from 0.48 to 3.57°C (100 yr)−1, with a regional mean trend of 1.65°C (100 yr)−1; whereas, the previous results ranged from a slight cooling at two stations to considerable warming, up to 4.5°C (100 yr)−1. It is suggested that the further-adjusted data are a better representation of the large-scale pattern of climate change in the region for the past century. The new data are available online at http://www.dx.doi.org/10.11922/sciencedb.516.

Item Type: Article
Uncontrolled Keywords: homogenization,multiple analysis of series for homogenization (mash),monthly temperature series,longterm trend,china
Faculty \ School: Faculty of Science > School of Environmental Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 15 Jun 2018 10:30
Last Modified: 22 Apr 2020 06:44
URI: https://ueaeprints.uea.ac.uk/id/eprint/67371
DOI: 10.1007/s00376-018-7280-x

Actions (login required)

View Item View Item