Preprints
https://doi.org/10.5194/essd-2020-343
https://doi.org/10.5194/essd-2020-343

  22 Jan 2021

22 Jan 2021

Review status: this preprint is currently under review for the journal ESSD.

Construction of homogenized daily surface air temperature for Tianjin city during 1887–2019

Peng Si1, Qingxiang Li2,4, and Phil Jones3 Peng Si et al.
  • 1Tianjin Meteorological Information Center, Tianjin Meteorological Bureau, Tianjin, China
  • 2School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China
  • 3Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK
  • 4Key Laboratory of Tropical Atmosphere-Ocean System (Sun Yat-sen University), Ministry of Education, and Southern Laboratory of Ocean Science and Engineering (Guangdong Zhuhai), Zhuhai, China

Abstract. The century-long continuous daily observations from some stations are important for the study of long-term trends and extreme climate events in the past. In this paper, three daily data sources: (1) Department of Industry Agency of British Concession in Tianjin covering Sep 1 1890–Dec 31 1931 (2) Water Conservancy Commission of North China covering Jan 1 1932–Dec 31 1950 and (3) monthly journal sheets for Tianjin surface meteorological observation records covering Jan 1 1951–Dec 31 2019 have been collected from the Tianjin Meteorological Archive. The completed daily maximum and minimum temperature series for Tianjin from Jan 1 1887 (Sep 1 1890 for minimum) to Dec 31 2019 has been constructed and assessed for quality control and an early extension from 1890 to 1887. Several significant breakpoints are detected by the Penalized Maximal T-test (PMT) for the daily maximum and minimum time series using multiple reference series around Tianjin from monthly Berkeley Earth, CRUTS4.03 and GHCNV3 data. Using neighboring daily series the record has been homogenized with Quantile Matching (QM) adjustments. Based on the homogenized dataset, the warming trend in annual mean temperature in Tianjin averaged from the newly constructed daily maximum and minimum temperature is evaluated as 0.154 ± 0.013 °C decade-1 during the last 130 years. Trends of temperature extremes in Tianjin are all significant at the 5 % level, and have much more coincident change than those from the raw, with amplitudes of −1.454 d decade−1, 1.196 d decade−1, −0.140 d decade−1 and 0.975 d decade−1 for cold nights (TN10p), warm nights (TN90p), cold days (TX10p) and warm days (TX90p) at the annual scale. The adjusted daily maximum, minimum and mean surface air temperature dataset for Tianjin city presented here is publicly available at https://doi.pangaea.de/10.1594/PANGAEA.924561 (Si and Li, 2020).

Peng Si et al.

Status: open (until 19 Mar 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2020-343', Anonymous Referee #1, 31 Jan 2021 reply
    • CC1: 'Reply on RC1', Peng Si, 03 Feb 2021 reply
  • RC2: 'Comment on essd-2020-343', Anonymous Referee #2, 07 Mar 2021 reply

Peng Si et al.

Data sets

Tianjin homogenized daily surface air temperature over century-long scale Peng Si and Qingxiang Li https://doi.pangaea.de/10.1594/PANGAEA.924561

Peng Si et al.

Viewed

Total article views: 334 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
268 58 8 334 22 4 3
  • HTML: 268
  • PDF: 58
  • XML: 8
  • Total: 334
  • Supplement: 22
  • BibTeX: 4
  • EndNote: 3
Views and downloads (calculated since 22 Jan 2021)
Cumulative views and downloads (calculated since 22 Jan 2021)

Viewed (geographical distribution)

Total article views: 280 (including HTML, PDF, and XML) Thereof 276 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Mar 2021
Download
Short summary
This paper documents the various procedures necessary to construct a homogenized daily maximum and minimum temperature series since 1887 for Tianjin. The newly constructed temperature series provides a set of new baseline data for the field of extreme climate change over the century-long scale and a reference for construction of other long-term reliable daily time series in the region.