the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Asymmetric changes of maximum and minimum temperatures in the Dabie Mountains, China
Abstract. This study used high-quality daily temperature data from 1960–2019, recorded at five observing stations (Huoqiu, Huoshan, Jinzhai, Lu’an, and Shucheng) in the city of Lu’an (China), to study the asymmetric changes of maximum and minimum temperatures in the region of the Dabie Mountains in western Anhui Province (China). Results showed that changes in annual maximum and minimum temperatures over the studied 60 years were asymmetric; the average climatic trend rate of minimum temperature was 0.262 °C/10a, while that of maximum temperature was 0.198 °C/10a, i.e., the temperature increase of the former was approximately 1.3 times that of the latter. Asymmetric changes of maximum and minimum temperatures were evident in winter, summer, and autumn throughout the entire 60-year period and in spring for the first 45 years. The spatial distribution of the asymmetric changes was uneven with decrease both from high latitudes to low latitudes and from high elevations to low elevations. High-elevation high-latitude areas such as Jinzhai, Lu’an, and Huoqiu exhibited the most significant asymmetric changes seasonally and annually. Abrupt changes in the trends of maximum and minimum temperatures occurred in 1994. Three periodicities were found in the maximum temperature series, i.e., 15–18, 32, and 4–6 years, and four periodicities were found in the minimum temperature series, i.e., 9–10, 32, 20–22, and 4 years. The 4–6-year periodicity of maximum temperature and the 4-year periodicity of minimum temperature (which passed the 95% significance test) should be associated with El Niño.
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Interactive discussion
Status: closed
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RC1: 'Comment on angeo-2022-19', Anonymous Referee #1, 12 Apr 2023
This manuscript contributes to an important aspect of local climate in montainous terrain: The small-scale distribution of daily temperature extremes under climate change. Against this background the manuscript is in principle suitable for publication in anngeo.
However, for an acceptance of this paper some methodical deficits and technical lacks must be eliminated:
1. Because of the strong influence on minimum temperature, a description of the local environmental conditions of the climate stations, like distance to city center, local relief and disturbances by buildings an trees ist urgently recommended. Without local information, the regionalisation of temperature information based on station data will remain very uncertain.
2. Temporal temperature trends of climate stations in a city are affected by trends of urban heat island effect which is connected with the extension of a city. Because the city of Lu'an is probably grwon in the last 60 years the urban effect on temperature trend must be detected and eliminated for climate stations near city center
3. In 2002 there was a change from manual to automatic observation. Could the authors specify how the data series were homogenized to use them for trend analysis?
4. In 1994 there was an abrupt change in trends. The explanation given in the mansucript is more hypothetical and should be underpinned with additional data (regional trends, continuous change in circulation pattern, landuse changes?)
5. The authors decribes the influence of underlaying surface on the distribution of temperature extremes. Another important factor of the spatial distribution of minimum temperature is the formation of cold air drainage flows. An information about regional distribution of such flows must be added to explain more precisely the distribution of Tmin trends.
6. Please specify how the temperature sensors were calibrated. Was there a reference station?
Technical comments:
- A couple of cited references is rather old (e.g., page 7, row 187, 191) and does not mirror the actual climate trend in the region. Please add actual references.
- Figure 1 and 3: An underlaying topographic map (DEM) is recommended to show possible influences of local topographic differences on trend
- Figure 2: Does it make sense to give the trend wit four digits? Is the polynomial fitting supported by regional trends from literature?
- Figure 4: What's happen in mid of 1990s? Was there a change in sensor equipment or in the local surrounding of some stations? Or was there an anomaly in circulation pattern. Is it an effect of global dimming? Should be clarified...
Citation: https://doi.org/10.5194/angeo-2022-19-RC1 -
RC2: 'Comment on angeo-2022-19', Anonymous Referee #2, 09 Jul 2023
I have completed my review of the manuscript titled "Asymmetric changes of maximum and minimum temperatures in the Dabie Mountains, China," which was submitted to Annales Geophysicae. After careful evaluation, I regret to inform you that I cannot recommend the publication of this manuscript in its current form due to several significant concerns: (i) Outdated references; (ii) the methodology employed in this study does not meet the standard requirements for rigorous scientific research. (iii) The manuscript fails to demonstrate significant novelty and originality in its findings and (iv) lacks discussion.
Citation: https://doi.org/10.5194/angeo-2022-19-RC2
Interactive discussion
Status: closed
-
RC1: 'Comment on angeo-2022-19', Anonymous Referee #1, 12 Apr 2023
This manuscript contributes to an important aspect of local climate in montainous terrain: The small-scale distribution of daily temperature extremes under climate change. Against this background the manuscript is in principle suitable for publication in anngeo.
However, for an acceptance of this paper some methodical deficits and technical lacks must be eliminated:
1. Because of the strong influence on minimum temperature, a description of the local environmental conditions of the climate stations, like distance to city center, local relief and disturbances by buildings an trees ist urgently recommended. Without local information, the regionalisation of temperature information based on station data will remain very uncertain.
2. Temporal temperature trends of climate stations in a city are affected by trends of urban heat island effect which is connected with the extension of a city. Because the city of Lu'an is probably grwon in the last 60 years the urban effect on temperature trend must be detected and eliminated for climate stations near city center
3. In 2002 there was a change from manual to automatic observation. Could the authors specify how the data series were homogenized to use them for trend analysis?
4. In 1994 there was an abrupt change in trends. The explanation given in the mansucript is more hypothetical and should be underpinned with additional data (regional trends, continuous change in circulation pattern, landuse changes?)
5. The authors decribes the influence of underlaying surface on the distribution of temperature extremes. Another important factor of the spatial distribution of minimum temperature is the formation of cold air drainage flows. An information about regional distribution of such flows must be added to explain more precisely the distribution of Tmin trends.
6. Please specify how the temperature sensors were calibrated. Was there a reference station?
Technical comments:
- A couple of cited references is rather old (e.g., page 7, row 187, 191) and does not mirror the actual climate trend in the region. Please add actual references.
- Figure 1 and 3: An underlaying topographic map (DEM) is recommended to show possible influences of local topographic differences on trend
- Figure 2: Does it make sense to give the trend wit four digits? Is the polynomial fitting supported by regional trends from literature?
- Figure 4: What's happen in mid of 1990s? Was there a change in sensor equipment or in the local surrounding of some stations? Or was there an anomaly in circulation pattern. Is it an effect of global dimming? Should be clarified...
Citation: https://doi.org/10.5194/angeo-2022-19-RC1 -
RC2: 'Comment on angeo-2022-19', Anonymous Referee #2, 09 Jul 2023
I have completed my review of the manuscript titled "Asymmetric changes of maximum and minimum temperatures in the Dabie Mountains, China," which was submitted to Annales Geophysicae. After careful evaluation, I regret to inform you that I cannot recommend the publication of this manuscript in its current form due to several significant concerns: (i) Outdated references; (ii) the methodology employed in this study does not meet the standard requirements for rigorous scientific research. (iii) The manuscript fails to demonstrate significant novelty and originality in its findings and (iv) lacks discussion.
Citation: https://doi.org/10.5194/angeo-2022-19-RC2
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Yongmei Zhao
Liyan Tang
Changming Zhu
Yuan Luo
Fang Zhou
This preprint has been withdrawn.
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