Characteristics of Dry-Wet Climate Change in China during the Past 60 Years and Its Trends Projection
Abstract
:1. Introduction
2. Data and Methods
2.1. Aridity Index
2.2. Criteria for Dry-Wet Climate Divisions
2.3. Data and Climatic Regions
3. Characteristics of Dry-Wet Climate Change in China during the Past 60 Years
3.1. Overall Characteristics of Dry-Wet Climate Change in China
3.2. Spatio-Temporal Evolution Characteristics of China’s Dry-Wet Climate Zones
3.2.1. Characteristics of Interdecadal Change in China’s Dry-Wet Climate Regions
3.2.2. Characteristics of Spatial Changes in China’s Dry-Wet Climate Regions
3.2.3. Characteristics of Seasonal Variation of Dry-Wet Climate in China
4. Projection of Future Dry-Wet Climate Changing Trend in China
5. Conclusions and Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Feng, S.; Fu, Q. Expansion of global drylands under a warming climate. Atmos. Chem. Phys. 2013, 13, 10081–10094. [Google Scholar] [CrossRef] [Green Version]
- Middleton, N.J.; Thomas, D.S.G. UNEP: World Atlas of Desertification. In Edward Arnold Sevenoaks; United nAtions Environment Programme: London, UK, 1992. [Google Scholar]
- Shi, Y.F. Assessment of the Transition from Warm Dry to Warm and Humid Climate in Northwest China; China Meteorological Press: Beijing, China, 2003. [Google Scholar]
- Zhang, Q.; Zhang, C.J.; Bai, H.Z. New development of climate change in Northwest China and its impact on arid environment. J. Arid Meteorol. 2010, 28, 1–7. [Google Scholar]
- Zheng, J.Y.; Bian, J.J.; Ge, Q.S. The climate regionalization in China for 1951–1980 and 1981–2010. Geogr. Res. 2013, 32, 987–997. [Google Scholar]
- Zheng, J.Y.; Fang, X.Q.; Wu, S.H. Recent progress of climate change research in physical geography studies from China. Prog. Geogr. 2018, 37, 16–27. [Google Scholar]
- Fu, C.B.; An, Z.S. Study of aridification in Northern China—A global Change issue facing directly the demand of nation. Earth Sci. Front. 2002, 9, 271–275. [Google Scholar]
- Ma, Z.G.; Fu, C.B. Decadal variations of arid and semi-arid boundary in China. Chinese J. Geophys. 2005, 48, 519–525. [Google Scholar] [CrossRef]
- Yuan, Q.Z.; Wu, S.H.; Dai, E.F. Spatio-temporal variation of the wet-dry conditions from 1961 to 2015 in China. Sci. China Earth Sci. 2017, 47, 1339–1348. [Google Scholar] [CrossRef]
- Ding, Y.H.; Wang, H.J. Newly acquired knowledge on the scientific issues related to climate change over the recent 100 years in China. Chin. Sci. Bull. 2016, 61, 1029–1041. [Google Scholar] [CrossRef] [Green Version]
- Ding, Y.H.; Wang, S.W.; Zheng, J.Y. China Climate, Series Books on Physical Geography of China; Science Press: Beijing, China, 2013. [Google Scholar]
- Huang, P.; Xie, S.P.; Huk, M. Patterns of the seasonal response of tropical rainfall to global warming. Nat Geosci. 2013, 6, 357–361. [Google Scholar] [CrossRef]
- Jiang, Z.H.; Zhang, X.; Wang, J. Projection of climate change in China in the 21st century by IPCC-AR4 Models. Geogr. Res. 2008, 27, 787–799. [Google Scholar]
- Zhang, X.Q.; Peng, L.L.; Lin, Z.H. Progress on the Projections of Future Climate Change with Various Emission Scenarios. Adv. Earth Sci. 2008, 23, 174–185. [Google Scholar]
- Zhao, T.B.; Chen, L.; Ma, Z.G. Simulation of historical and projected climate change in arid and semiarid areas by CMIP5 models. Chin. Sci. Bull. 2014, 59, 1148–1163. [Google Scholar] [CrossRef]
- Ma, D.Y.; Yin, Y.H.; Wu, S.H. Sensitivity of arid/humid patterns in China to future climate change under high emission scenario. Acta Geogr. Sin. 2019, 74, 857–874. [Google Scholar] [CrossRef] [Green Version]
- Qian, J.L.; Lin, Z.G. A preliminary study of the dry and wet climatic regionalization of China. Acta Geogr. Sin. 1965, 31, 1–14. [Google Scholar]
- Chen, X.J. A new approach to the climate division of China. Acta Meteorol. Sin. 1982, 40, 35–48. [Google Scholar]
- Institute of China Standardization and Information Classification and Coding, National Meteorological Center of China. GB/T17297-1998; National Standard of People’s Republic of China: Names and Codes for Climate Regionalization in China Climatic Zones. Standards Press of China: Beijing, China, 2004.
- Zheng, J.Y.; Yin, Y.H.; Li, B.Y. A New Scheme for Climate Regionalization in China. Acta Geogr. Sin. 2010, 65, 3–12. [Google Scholar]
- Thornthwaite, C.W. An approach toward a rational classification of climate. Geogr. Rev. 1948, 38, 55–94. [Google Scholar] [CrossRef]
- Holdridge, L.R. Determination of world plant formation from simple climatic data. Science 1947, 105, 367–368. [Google Scholar] [CrossRef]
- Penman, H.L. Natural evaporation from open water, bare soil and grass. Proc. R. Soc. Ser. A 1948, 193, 454–465. [Google Scholar]
- Allen, R.G.; Pereira, L.S.; Raes, D. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56; United Nations Food and Agriculture Organization: Rome, Italy, 1998; pp. 15–86. [Google Scholar]
- Huo, Z.L.; Dai, X.Q.; Feng, S.Y.; Kang, S.Z.; Huang, G.H. Effect of climate change on reference evapotranspiration and aridity index in arid region of China. J. Hydrol. 2013, 492, 24–34. [Google Scholar] [CrossRef]
- Wu, Z.; Cui, N.; Zhu, B.; Zhao, L.; Wang, X.; Hu, X.; Wang, Y.; Zhu, S. Improved hargreaves model based on multiple intelligent optimization algorithms to estimate reference crop evapotranspiration in humid areas of southwest china. Atmosphere 2021, 12, 15. [Google Scholar] [CrossRef]
- Fan, J.L.; Wu, L.F.; Zhang, F.C.; Xiang, Y.Z.; Zheng, J. Climate change effects on reference crop evapotranspiration across different climatic zones of China during 1956–2015. J. Hydrol. 2016, 542, 923–937. [Google Scholar] [CrossRef]
- Wu, D.; Fang, S.; Tong, X.; Wang, L.; Zhuo, W.; Pei, Z.; Wu, Y.; Zhang, J.; Li, M. Analysis of variation in reference evapotranspiration and its driving factors in mainland China from 1960 to 2016. Environ. Res. Lett. 2021, 16, 054016. [Google Scholar] [CrossRef]
- Zhang, C.J.; Liu, H.B.; Song, Y.L.; Liao, Y.M.; Duan, J.Q.; Cai, W.Y. GB/T 20481-2017; Grades of Meteorological Drought. China Standards Press: Beijing, China, 2017.
- Mao, F.; Liao, Y.M.; Sun, H. GB/T 34307-2017; National Standard of People’s Republic of China: Grades of Dry/Wet Climate. China Standards Press: Beijing, China, 2017.
- Yin, Y.; Wu, S.; Zheng, D. Radiation Calibration of FAO56 Penman-Monteith Model to Estimate Reference Crop Evapotranspiration in China. Agric. Water Manag. 2008, 95, 77–84. [Google Scholar] [CrossRef]
- Zhang, C.J.; Liao, Y.M.; Duan, J.Q. The progresses of dry-wet climate divisional research in China. Clim. Change Res. 2016, 12, 261–267. [Google Scholar]
- Yang, S.; Li, Q.X. Improvement in Homogeneity Analysis Method and Update of China Precipitation Data. Clim. Change Res. 2014, 10, 276–281. [Google Scholar]
- Cao, L.; Zhu, Y.N.; Tang, G.L.; Yuan, F.; Yan, Z. Climatic Warming in China According to a Homogenized Data Set from 2419 Stations. Int. J. Climatol. 2016, 36, 4384–4392. [Google Scholar] [CrossRef] [Green Version]
- Xu, Y.; Zhou, B.T.; Wu, J. Asian climate change in response to four global warming targets. Clim. Change Res. 2017, 13, 306–315. [Google Scholar]
- Wu, J.; Zhou, B.T.; Xu, Y. Response of precipitation and its extremes over China to warming: CMIP5 simulation and projection. Chin. J. Geophys. 2015, 58, 3048–3060. [Google Scholar] [CrossRef]
- Sneyers, R. On the Statistical Analysis of Series of Observation; World Meteorological Society: Geneva, Switzerland, 1990. [Google Scholar]
- Dong, Q.; Wang, W.G.; Shao, Q.X.; Xing, W.Q.; Ding, Y.M.; Fu, J.Y. The response of reference evapotranspiration to climate change in Xinjiang, China: Historical changes, driving forces, and future projections. Int. J. Climatol. 2020, 40, 235–254. [Google Scholar] [CrossRef]
- Qi, X.L.; Li, W.P.; Li, H.T. Prediction and Trend of Future Potential Evapotranspiration in the Heihe River Based on CMIP5 Models. J. Desert Res. 2018, 38, 849–857. [Google Scholar]
- Liu, X.L.; Li, C.X.; Zhao, T.B.; Lin, H. Future changes of global potential evapotranspiration simulated from CMIP5 to CMIP6 models. Atmos. Ocean. Sci. Lett. 2020, 13, 568–575. [Google Scholar] [CrossRef]
- Zhao, T.B.; Dai, A.G. CMIP6 Model-Projected Hydroclimatic and Drought Changes and Their Causes in the Twenty-First Century. J. Clim. 2022, 35, 897–921. [Google Scholar] [CrossRef]
Jan. | Feb. | Mar. | Apr. | May | Jun. | Jul. | Aug. | Sept. | Oct. | Nov. | Dec. | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
as | 0.205 | 0.187 | 0.175 | 0.167 | 0.169 | 0.173 | 0.179 | 0.178 | 0.175 | 0.177 | 0.192 | 0.206 |
bs | 0.535 | 0.571 | 0.583 | 0.586 | 0.584 | 0.577 | 0.559 | 0.555 | 0.568 | 0.576 | 0.556 | 0.525 |
Grades | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|
Zone name | Extreme humid | Humid | Sub-humid | Sub-arid | Arid | Extreme arid |
AI | <0.5 | 0.5~1.0 | 1.0~1.5 | 1.5~3.5 | 3.5~20.0 | ≥20.0 |
Extreme Humid | Humid | Sub-Humid | Sub-Arid | Arid | Extreme Arid | |
---|---|---|---|---|---|---|
1960s | 1.31 | 26.66 | 17.56 | 19.98 | 16.28 | 18.2 |
1970s | 2.14 | 25.4 | 18.48 | 20.78 | 16.51 | 16.69 |
1980s | 3.51 | 29.26 | 15.4 | 19.03 | 18.31 | 14.48 |
1990s | 6.15 | 26.62 | 15.12 | 20.22 | 20.35 | 11.54 |
2000s | 2.33 | 29.78 | 16.32 | 19.77 | 21.03 | 10.76 |
2010s | 5.61 | 30.2 | 16.62 | 17.5 | 21.8 | 8.27 |
1981~2020 | 1.47 | 43.80 | 17.51 | 16.56 | 17.42 | 0.24 |
Extreme Humid | Humid | Sub-Humid | Sub-Arid | Arid | Extreme Arid | |
---|---|---|---|---|---|---|
Northwest China | 0 | 4.31 | 9.24 | 15.15 | 36.19 | 34.51 |
North China | 0 | 3.49 | 14.95 | 51.05 | 23.39 | 7.12 |
Northeast China | 0 | 33.70 | 48.11 | 18.19 | 0 | 0 |
East China | 22.77 | 56.43 | 13.67 | 7.13 | 0 | 0 |
Central China | 9.93 | 60.35 | 15.24 | 5.48 | 0 | 0 |
South China | 16.25 | 83.22 | 0.49 | 0.04 | 0 | 0 |
Southwest China | 1.47 | 43.80 | 17.51 | 16.56 | 17.42 | 0.24 |
China | 3.61 | 28.63 | 15.89 | 19.48 | 19.51 | 12.88 |
Extreme Humid | Humid | Sub-Humid | Sub-Arid | Arid | Extreme Arid | |
---|---|---|---|---|---|---|
Northwest China | 0.02 (0.01) | 1.05 (0.35) | 1.26 (0.42) ** | 2.84 (0.94) ** | 5.55 (1.84) ** | −10.7 (−3.56) ** |
North China | 0.02 (0.01) | 0.9 (0.59) | 1.02 (0.67) | −1.0 (−0.66) | −0.18 (−0.12) | −0.76 (−0.5) |
Northeast China | 0.09 (0.12) | 3.69 (4.67) ** | −1.84 (−2.33) * | −1.98 (−2.5) ** | 0.04 (0.05) | 0 |
East China | 2.59 (3.27) ** | −1.28 (−1.62) | −0.5 (−0.64) | −0.75 (−0.95) | −0.05 (−0.06) | 0 |
Central China | 1.39 (2.47) * | −0.51 (−0.91) | −0.26 (−0.47) | −0.58 (−1.02) * | −0.05 (−0.07) | 0 |
South China | 1.5 (3.36) * | −1.31 (−2.94) * | −0.17 (−0.38) | −0.02 (−0.04) | 0 | 0 |
Southwest China | 0.7 (0.30) | 1.24 (0.53) | −0.14 (−0.06) | 0.02 (0.01) | 1.49 (0.64) | −3.32 (−1.43) ** |
China | 6.35 (0.67) ** | 3.94 (0.42) | −0.82 (−0.09) | −1.49 (−0.16) | 6.81 (0.72)* | −14.78 (−1.56) ** |
Winter | Spring | Summer | Autumn | Year | |
---|---|---|---|---|---|
Average | 14.45 | 13.69 | 2.44 | 9.11 | 2.14 |
Trend | −0.79 | −1.54 * | −0.28 ** | −0.95 * | −0.17 ** |
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Zhang, C.; Ren, Y.; Cao, L.; Wu, J.; Zhang, S.; Hu, C.; Zhujie, S. Characteristics of Dry-Wet Climate Change in China during the Past 60 Years and Its Trends Projection. Atmosphere 2022, 13, 275. https://doi.org/10.3390/atmos13020275
Zhang C, Ren Y, Cao L, Wu J, Zhang S, Hu C, Zhujie S. Characteristics of Dry-Wet Climate Change in China during the Past 60 Years and Its Trends Projection. Atmosphere. 2022; 13(2):275. https://doi.org/10.3390/atmos13020275
Chicago/Turabian StyleZhang, Cunjie, Yuyu Ren, Lijuan Cao, Jia Wu, Siqi Zhang, Chuanye Hu, and Sangbu Zhujie. 2022. "Characteristics of Dry-Wet Climate Change in China during the Past 60 Years and Its Trends Projection" Atmosphere 13, no. 2: 275. https://doi.org/10.3390/atmos13020275
APA StyleZhang, C., Ren, Y., Cao, L., Wu, J., Zhang, S., Hu, C., & Zhujie, S. (2022). Characteristics of Dry-Wet Climate Change in China during the Past 60 Years and Its Trends Projection. Atmosphere, 13(2), 275. https://doi.org/10.3390/atmos13020275