Evaluation and analysis of observed soil temperature data over Northwest China

Soil temperature (ST) is an important land surface factor as a predictor of regional climate change. Based on the ST data from 30 climate stations in Northwest China (NWC) during the period 1960–2000, the trends and distribution of STs at 0, 80, 160, and 320 cm depths were investigated, together wit...

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Main Authors: Wang Yuanhao, Jiang Zhihuai, Zhou Degang, Gong Zhiyu
Format: Article
Language:English
Published: De Gruyter 2022-12-01
Series:Open Geosciences
Subjects:
Online Access:https://doi.org/10.1515/geo-2022-0376
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author Wang Yuanhao
Jiang Zhihuai
Zhou Degang
Gong Zhiyu
author_facet Wang Yuanhao
Jiang Zhihuai
Zhou Degang
Gong Zhiyu
author_sort Wang Yuanhao
collection DOAJ
description Soil temperature (ST) is an important land surface factor as a predictor of regional climate change. Based on the ST data from 30 climate stations in Northwest China (NWC) during the period 1960–2000, the trends and distribution of STs at 0, 80, 160, and 320 cm depths were investigated, together with observed atmospheric variables, such as air temperature (AT) and precipitation. The differences between the annual average AT and ST at each layer (0, 80, 160, and 320 cm) in each station was no more than 6°C. In different seasons, the differences were even more remarkable than annual values. Trends in some stations varied during the period 1961–2000, with warming trends appearing at some stations after the mid-1980s. Few warming trends appeared in the west part of NWC, while most warming trends appeared in the east part. There were more warming trends at annual time scales than in season timescales. The fewest warming trends were found in winter, but they had the largest magnitude of increase (1.1°C/decade) for surface ST; the largest magnitudes of increase for 80 and 160 cm ST were in summer, with increase of 0.95 and 0.88°C/decade, respectively. The correlation coefficients between ST and AT were positive and statistically significant at the 95% confidence level in most stations except in winter. The correlation values between ST and precipitation were different at different time scales.
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spelling doaj.art-3c9629544ab84e33a2cee737f01957942023-01-19T13:20:29ZengDe GruyterOpen Geosciences2391-54472022-12-011411562157610.1515/geo-2022-0376Evaluation and analysis of observed soil temperature data over Northwest ChinaWang Yuanhao0Jiang Zhihuai1Zhou Degang2Gong Zhiyu3Center for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaJiangxi Provincial Eco-Meteorological Centre, Nanchang 330046, ChinaCenter for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaJiangxi Provincial Eco-Meteorological Centre, Nanchang 330046, ChinaSoil temperature (ST) is an important land surface factor as a predictor of regional climate change. Based on the ST data from 30 climate stations in Northwest China (NWC) during the period 1960–2000, the trends and distribution of STs at 0, 80, 160, and 320 cm depths were investigated, together with observed atmospheric variables, such as air temperature (AT) and precipitation. The differences between the annual average AT and ST at each layer (0, 80, 160, and 320 cm) in each station was no more than 6°C. In different seasons, the differences were even more remarkable than annual values. Trends in some stations varied during the period 1961–2000, with warming trends appearing at some stations after the mid-1980s. Few warming trends appeared in the west part of NWC, while most warming trends appeared in the east part. There were more warming trends at annual time scales than in season timescales. The fewest warming trends were found in winter, but they had the largest magnitude of increase (1.1°C/decade) for surface ST; the largest magnitudes of increase for 80 and 160 cm ST were in summer, with increase of 0.95 and 0.88°C/decade, respectively. The correlation coefficients between ST and AT were positive and statistically significant at the 95% confidence level in most stations except in winter. The correlation values between ST and precipitation were different at different time scales.https://doi.org/10.1515/geo-2022-0376soil temperatureair temperaturetrendnorthwest china
spellingShingle Wang Yuanhao
Jiang Zhihuai
Zhou Degang
Gong Zhiyu
Evaluation and analysis of observed soil temperature data over Northwest China
Open Geosciences
soil temperature
air temperature
trend
northwest china
title Evaluation and analysis of observed soil temperature data over Northwest China
title_full Evaluation and analysis of observed soil temperature data over Northwest China
title_fullStr Evaluation and analysis of observed soil temperature data over Northwest China
title_full_unstemmed Evaluation and analysis of observed soil temperature data over Northwest China
title_short Evaluation and analysis of observed soil temperature data over Northwest China
title_sort evaluation and analysis of observed soil temperature data over northwest china
topic soil temperature
air temperature
trend
northwest china
url https://doi.org/10.1515/geo-2022-0376
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AT gongzhiyu evaluationandanalysisofobservedsoiltemperaturedataovernorthwestchina