{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T11:22:16Z","timestamp":1763810536621,"version":"3.37.3"},"reference-count":68,"publisher":"Springer Science and Business Media LLC","issue":"7-8","license":[{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2018YFC1509002"],"award-info":[{"award-number":["2018YFC1509002"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41701100"],"award-info":[{"award-number":["41701100"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Clim Dyn"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1007\/s00382-021-05774-0","type":"journal-article","created":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T19:03:46Z","timestamp":1620673426000},"page":"1733-1749","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Regional differences in surface air temperature changing patterns from 1960 to 2016 of China"],"prefix":"10.1007","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0620-8200","authenticated-orcid":false,"given":"Quanzhi","family":"Yuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaohong","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongsheng","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erfu","family":"Dai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qin","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ping","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,5,10]]},"reference":[{"key":"5774_CR1","doi-asserted-by":"publisher","unstructured":"Arthur D, Vassilvitskii S (2007) k-means++: The advantages of careful seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms (SODA 2007). Society for Industrial and Applied Mathematics, pp 1027\u20131035. https:\/\/doi.org\/10.1145\/1283383.1283494","DOI":"10.1145\/1283383.1283494"},{"key":"5774_CR2","volume-title":"Pattern recognition and machine learning","author":"CM Bishop","year":"2006","unstructured":"Bishop CM (2006) Pattern recognition and machine learning. Springer, New York"},{"key":"5774_CR3","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s00704-016-1869-8","volume":"130","author":"A Chakraborty","year":"2016","unstructured":"Chakraborty A, Seshasai MVR, Rao SVCK et al (2016) Geo-spatial analysis of temporal trends of temperature and its extremes over India using daily gridded (1\u00b0\u00d71\u00b0) temperature data of 1969\u20132005. Theor Appl Climatol 130:133\u2013149. https:\/\/doi.org\/10.1007\/s00704-016-1869-8","journal-title":"Theor Appl Climatol"},{"key":"5774_CR4","doi-asserted-by":"publisher","first-page":"2940","DOI":"10.1111\/gcb.12277","volume":"19","author":"H Chen","year":"2013","unstructured":"Chen H, Zhu Q, Peng C et al (2013) The impacts of climate change and human activities on biogeochemical cycles on the Qinghai-Tibetan Plateau. Glob Change Biol 19:2940\u20132955. https:\/\/doi.org\/10.1111\/gcb.12277","journal-title":"Glob Change Biol"},{"key":"5774_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fenvs.2020.588570","volume":"8","author":"J Cheng","year":"2020","unstructured":"Cheng J, Li Q, Chao L et al (2020) Development of high resolution and homogenized gridded land surface air temperature data: a case study over Pan-East Asia. Front Environ Sci SWITZ 8:1\u201314. https:\/\/doi.org\/10.3389\/fenvs.2020.588570","journal-title":"Front Environ Sci SWITZ"},{"key":"5774_CR6","doi-asserted-by":"publisher","first-page":"88","DOI":"10.3808\/jei.201900412","volume":"34","author":"WN Choi","year":"2019","unstructured":"Choi WN, Hong HK, Lee YW et al (2019) First-time estimation of HCHO column over Asia using multiple regression with OMI and MODIS data. J Environ Inform 34:88\u201398. https:\/\/doi.org\/10.3808\/jei.201900412","journal-title":"J Environ Inform"},{"key":"5774_CR7","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1038\/nclimate1732","volume":"3","author":"N Diffenbaugh","year":"2013","unstructured":"Diffenbaugh N, Scherer M, Ashfaq M (2013) Response of snow-dependent hydrologic extremes to continued global warming. Nat Clim Change 3:379\u2013384. https:\/\/doi.org\/10.1038\/nclimate1732","journal-title":"Nat Clim Change"},{"key":"5774_CR8","volume-title":"China Climate","author":"YH Ding","year":"2013","unstructured":"Ding YH (2013) China Climate. Science Press, Beijing ((in Chinese))"},{"key":"5774_CR9","volume-title":"Third National Assessment Report of Climate Change","author":"ECNARCC (Editorial Committee of National Assessment Report of Climate Change)","year":"2015","unstructured":"ECNARCC (Editorial Committee of National Assessment Report of Climate Change) (2015) Third National Assessment Report of Climate Change. Science Press, Beijing ((in Chinese))"},{"key":"5774_CR10","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1007\/s40881-018-0060-7","volume":"5","author":"F Fallucchi","year":"2019","unstructured":"Fallucchi F, Luccasen RA, Turocy TL (2019) Identifying discrete behavioural types: a re-analysis of public goods game contributions by hierarchical clustering. J Econ Sci Assoc 5:238\u2013254. https:\/\/doi.org\/10.1007\/s40881-018-0060-7","journal-title":"J Econ Sci Assoc"},{"key":"5774_CR11","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1016\/j.scitotenv.2017.03.034","volume":"590","author":"C Fang","year":"2017","unstructured":"Fang C, Gong YJS et al (2017) Seasonal responses of soil respiration to warming and nitrogen addition in a semi-arid alfalfa-pasture of the Loess Plateau, China. Sci Total Environ 590:729\u2013738. https:\/\/doi.org\/10.1016\/j.scitotenv.2017.03.034","journal-title":"Sci Total Environ"},{"key":"5774_CR12","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1002\/2013GL058687","volume":"41","author":"QY Feng","year":"2014","unstructured":"Feng QY, Dijkstra H (2014) Are North Atlantic multidecadal SST anomalies westward propagating. Geophys Res Lett 41:541\u2013546. https:\/\/doi.org\/10.1002\/2013GL058687","journal-title":"Geophys Res Lett"},{"key":"5774_CR13","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1016\/j.biocon.2018.09.019","volume":"227","author":"E Gaget","year":"2018","unstructured":"Gaget E, Galewski T, Jiguet F et al (2018) Waterbird communities adjust to climate warming according to conservation policy and species protection status. Biol Conserv 227:205\u2013212. https:\/\/doi.org\/10.1016\/j.biocon.2018.09.019","journal-title":"Biol Conserv"},{"key":"5774_CR14","first-page":"324","volume":"2","author":"L Gorczy\u0144ski","year":"1920","unstructured":"Gorczy\u0144ski L (1920) Sur le calcul du degr\u00e9 du continentalisme et son application dans la climatologie. Geogr Ann 2:324\u2013331","journal-title":"Geogr Ann"},{"key":"5774_CR15","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.atmosenv.2018.06.026","volume":"188","author":"J Guo","year":"2018","unstructured":"Guo J, Huang G, Wang X et al (2018a) Future changes in precipitation extremes over China projected by a regional climate model ensemble. Atmos Environ 188:142\u2013156. https:\/\/doi.org\/10.1016\/j.atmosenv.2018.06.026","journal-title":"Atmos Environ"},{"key":"5774_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1088\/2058-6272\/aaaade","volume":"20","author":"Y Guo","year":"2018","unstructured":"Guo Y, Tang Y, Du Y et al (2018b) Cluster analysis of polymers using laser-induced breakdown spectroscopy with K-means. Plasma Sci Technol 20:1\u20135. https:\/\/doi.org\/10.1088\/2058-6272\/aaaade","journal-title":"Plasma Sci Technol"},{"key":"5774_CR17","volume-title":"Partitional clustering algorithms","author":"G Hamerly","year":"2015","unstructured":"Hamerly G, Drake J (2015) Accelerating Lloyd\u2019s algorithm for k-means clustering. In: Celebi M (ed) Partitional clustering algorithms. Springer, Cham"},{"key":"5774_CR18","doi-asserted-by":"publisher","first-page":"100","DOI":"10.2307\/2346830","volume":"28","author":"JA Hartigan","year":"1979","unstructured":"Hartigan JA, Wong MA (1979) Algorithm AS 136: a k-means clustering algorithm. J R Stat Soc 28:100\u2013108. https:\/\/doi.org\/10.2307\/2346830","journal-title":"J R Stat Soc"},{"key":"5774_CR19","unstructured":"Hutchinson MF, Xu T (2004) Anusplin version 4.2 user guide. Centre for Resource and Environmental Studies, The Australian National University, Canberra"},{"key":"5774_CR20","doi-asserted-by":"publisher","first-page":"5151","DOI":"10.5194\/hess-23-5151-2019","volume":"23","author":"E Hyung-II","year":"2019","unstructured":"Hyung-II E, Anil G (2019) Hybrid climate datasets from a climate data evaluation system and their impacts on hydrologic simulations for the Athabasca River basin in Canada. Hydrol Earth Syst Sc 23:5151\u20135173. https:\/\/doi.org\/10.5194\/hess-23-5151-2019","journal-title":"Hydrol Earth Syst Sc"},{"key":"5774_CR21","volume-title":"Climate Change 2014: impacts, adaptation, and vulnerability","author":"IPCC","year":"2014","unstructured":"IPCC (2014) Climate Change 2014: impacts, adaptation, and vulnerability. Cambridge University Press, Cambridge"},{"key":"5774_CR22","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1016\/j.jhydrol.2016.06.008","volume":"542","author":"M Kukal","year":"2016","unstructured":"Kukal M, Irmak S (2016) Long-term patterns of air temperatures, daily temperature range, precipitation, grass-reference evapotranspiration and aridity index in the USA Great Plains: Part II. Temporal trends. J Hydrol 542:978\u20131001. https:\/\/doi.org\/10.1016\/j.jhydrol.2016.06.008","journal-title":"J Hydrol"},{"key":"5774_CR23","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.agrformet.2018.04.020","volume":"259","author":"X Li","year":"2018","unstructured":"Li X, He Y, Zeng Z et al (2018) Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years. Agric For Meteorol 259:131\u2013140. https:\/\/doi.org\/10.1016\/j.agrformet.2018.04.020","journal-title":"Agric For Meteorol"},{"key":"5774_CR24","doi-asserted-by":"publisher","first-page":"2477","DOI":"10.1007\/s00704-018-2744-6","volume":"137","author":"N Li","year":"2019","unstructured":"Li N, Bai K, Zhang Z et al (2019) The nonlinear relationship between temperature changes and economic development for individual provinces in China. Theor Appl Climatol 137:2477\u20132486. https:\/\/doi.org\/10.1007\/s00704-018-2744-6","journal-title":"Theor Appl Climatol"},{"key":"5774_CR25","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s10342-018-1100-9","volume":"137","author":"F Liu","year":"2018","unstructured":"Liu F, Zhang Y, Luo J (2018) The effects of experimental warming and CO2 concentration doubling on soil organic carbon fractions of a montane coniferous forest on the eastern Qinghai-Tibetan Plateau. Eur J For Res 137:211\u2013221. https:\/\/doi.org\/10.1007\/s10342-018-1100-9","journal-title":"Eur J For Res"},{"key":"5774_CR26","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1175\/JCLI-D-18-0093.1","volume":"32","author":"Q Liu","year":"2019","unstructured":"Liu Q, Zhou T, Mao H et al (2019a) Decadal variations in the relationship between the western Pacific subtropical high and summer heat waves in East China. J Climate 32:1627\u20131640. https:\/\/doi.org\/10.1175\/JCLI-D-18-0093.1","journal-title":"J Climate"},{"key":"5774_CR27","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3808\/jei.201900414","volume":"34","author":"X Liu","year":"2019","unstructured":"Liu X, Wang JF, Christakos G et al (2019b) China population distributions at multiple geographical scales and their correlates. J Environ Inform 34:15\u201327. https:\/\/doi.org\/10.3808\/jei.201900414","journal-title":"J Environ Inform"},{"key":"5774_CR28","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"SP Lloyd","year":"1982","unstructured":"Lloyd SP (1982) Least squares quantization in PCM. IEEE Trans Inform Theory 28:129\u2013137. https:\/\/doi.org\/10.1109\/TIT.1982.1056489","journal-title":"IEEE Trans Inform Theory"},{"key":"5774_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41612-020-00148-5","volume":"3","author":"LA Mansfield","year":"2020","unstructured":"Mansfield LA, Nowack PJ, Kasoar M et al (2020) Predicting global patterns of long-term climate change from short-term simulations using machine learning. NPJ Clim Atmos Sci 3:1\u20139. https:\/\/doi.org\/10.1038\/s41612-020-00148-5","journal-title":"NPJ Clim Atmos Sci"},{"key":"5774_CR30","doi-asserted-by":"publisher","first-page":"3640","DOI":"10.1002\/joc.4238","volume":"35","author":"D Matuszko","year":"2015","unstructured":"Matuszko D, Weglarczyk S (2015) Relationship between sunshine duration and air temperature and contemporary global warming. Int J Climatol 35:3640\u20133653. https:\/\/doi.org\/10.1002\/joc.4238","journal-title":"Int J Climatol"},{"key":"5774_CR31","doi-asserted-by":"publisher","first-page":"5123","DOI":"10.1175\/JCLI-D-15-0705.1","volume":"29","author":"AL Merrifield","year":"2016","unstructured":"Merrifield AL, Xie SP (2016) Summer US surface air temperature variability: controlling factors and AMIP simulation biases. J Climate 29:5123\u20135139. https:\/\/doi.org\/10.1175\/JCLI-D-15-0705.1","journal-title":"J Climate"},{"key":"5774_CR32","volume-title":"Foundations of machine learning","author":"M Mohri","year":"2018","unstructured":"Mohri M, Rostamizadeh A, Talwalkar A (2018) Foundations of machine learning. MIT Press, Boston"},{"key":"5774_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/f11020132","volume":"11","author":"W Oberhuber","year":"2020","unstructured":"Oberhuber W, Bendler U, Gamper V et al (2020) Growth trends of coniferous species along elevational transects in the Central European Alps indicate decreasing sensitivity to climate warming. Forests 11:1\u201313. https:\/\/doi.org\/10.3390\/f11020132","journal-title":"Forests"},{"key":"5774_CR34","doi-asserted-by":"publisher","first-page":"27","DOI":"10.5121\/ijcsit.2018.10203","volume":"10","author":"G Ogbuabor","year":"2018","unstructured":"Ogbuabor G, Ugwoke FN (2018) Clustering algorithm for a healthcare dataset using silhouette score value. Int J Comput Sci Inform Technol 10:27\u201337. https:\/\/doi.org\/10.5121\/ijcsit.2018.10203","journal-title":"Int J Comput Sci Inform Technol"},{"key":"5774_CR35","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1007\/s11442-012-0966-6","volume":"22","author":"T Pan","year":"2012","unstructured":"Pan T, Wu S, He D et al (2012) Effects of longitudinal range-gorge terrain on the eco-geographical pattern in Southwest China. J Geogr Sci 22:825\u2013842. https:\/\/doi.org\/10.1007\/s11442-012-0966-6","journal-title":"J Geogr Sci"},{"key":"5774_CR36","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-020-03580-9","author":"S Pasupathi","year":"2021","unstructured":"Pasupathi S, Shanmuganthan V, Madasamy K et al (2021) Trend analysis using agglomerative hierarchical clustering approach for time series big data. J Supercomput. https:\/\/doi.org\/10.1007\/s11227-020-03580-9","journal-title":"J Supercomput"},{"key":"5774_CR37","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1098\/rspl.1895.0041","volume":"58","author":"K Pearson","year":"1895","unstructured":"Pearson K (1895) Notes on regression and inheritance in the case of two parents. Proc R Soc Lond 58:240\u2013242","journal-title":"Proc R Soc Lond"},{"key":"5774_CR38","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1038\/nature20584","volume":"540","author":"JF Pekel","year":"2016","unstructured":"Pekel JF, Cottam A, Gorelick N et al (2016) High-resolution mapping of global surface water and its long-term changes. Nature 540:418\u2013422. https:\/\/doi.org\/10.1038\/nature20584","journal-title":"Nature"},{"key":"5774_CR39","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1038\/454393a","volume":"454","author":"J Qiu","year":"2008","unstructured":"Qiu J (2008) China: the third pole. Nature 454:393\u2013396. https:\/\/doi.org\/10.1038\/454393a","journal-title":"Nature"},{"key":"5774_CR40","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1038\/nature01333","volume":"421","author":"TL Root","year":"2003","unstructured":"Root TL, Price JT, Hall KR et al (2003) Fingerprints of global warming on wild animals and plants. Nature 421:57\u201360. https:\/\/doi.org\/10.1038\/nature01333","journal-title":"Nature"},{"key":"5774_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2019\/8281201","volume":"2019","author":"F Safdar","year":"2019","unstructured":"Safdar F, Khokhar MF, Arshad M et al (2019) Climate change indicators and spatiotemporal shift in monsoon patterns in Pakistan. Adv Meteorol 2019:1\u201314. https:\/\/doi.org\/10.1155\/2019\/8281201","journal-title":"Adv Meteorol"},{"key":"5774_CR42","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1038\/d41586-018-04854-2","volume":"556","author":"Q Schiermeier","year":"2018","unstructured":"Schiermeier Q (2018) Clear signs of global warming will hit poorer countries first. Nature 556:415\u2013417. https:\/\/doi.org\/10.1038\/d41586-018-04854-2","journal-title":"Nature"},{"key":"5774_CR43","doi-asserted-by":"publisher","first-page":"2443","DOI":"10.1175\/jcli-d-14-00382.1","volume":"28","author":"JT Seeley","year":"2015","unstructured":"Seeley JT, Romps DM (2015) The effect of global warming on severe thunderstorms in the United States. J Climate 28:2443\u20132458. https:\/\/doi.org\/10.1175\/jcli-d-14-00382.1","journal-title":"J Climate"},{"key":"5774_CR44","doi-asserted-by":"publisher","first-page":"13163","DOI":"10.1002\/2014JD022326","volume":"119","author":"X Shen","year":"2014","unstructured":"Shen X, Liu B, Li G et al (2014) Spatiotemporal change of diurnal temperature range and its relationship with sunshine duration and precipitation in China. J Geophys Res Atmos 119:13163\u201313179. https:\/\/doi.org\/10.1002\/2014JD022326","journal-title":"J Geophys Res Atmos"},{"key":"5774_CR45","first-page":"2294","volume":"44","author":"P Shi","year":"2014","unstructured":"Shi P, Sun S, Wang M (2014) Regionalization of climate change in China (1961\u20132010). Sci China Earth Sci 44:2294\u20132306 ((in Chinese))","journal-title":"Sci China Earth Sci"},{"key":"5774_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3808\/jei.201700376","volume":"34","author":"G Shivam","year":"2019","unstructured":"Shivam G, Goyal MK, Sarma AK (2019) Index-based study of future precipitation changes over Subansiri river catchment under changing climate. J Environ Inform 34:1\u201314. https:\/\/doi.org\/10.3808\/jei.201700376","journal-title":"J Environ Inform"},{"key":"5774_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/ani10050855","volume":"10","author":"TZ Sibanda","year":"2020","unstructured":"Sibanda TZ, Welch M, Schneider D et al (2020) Characterising free-range layer flocks using unsupervised cluster analysis. Animals 10:1\u201321. https:\/\/doi.org\/10.3390\/ani10050855","journal-title":"Animals"},{"key":"5774_CR48","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1016\/j.earscirev.2015.08.010","volume":"150","author":"W Soon","year":"2015","unstructured":"Soon W, Connolly R, Connolly M (2015) Re-evaluating the role of solar variability on Northern Hemisphere temperature trends since the 19th century. Earth Sci Rev 150:409\u2013452. https:\/\/doi.org\/10.1016\/j.earscirev.2015.08.010","journal-title":"Earth Sci Rev"},{"key":"5774_CR49","doi-asserted-by":"publisher","first-page":"140786","DOI":"10.1016\/j.scitotenv.2020.140786","volume":"744","author":"S Sun","year":"2020","unstructured":"Sun S, Zhang Y, Huang D et al (2020) The effect of climate change on the richness distribution pattern of oaks (Quercus L.) in China. Sci Total Environ 744:140786. https:\/\/doi.org\/10.1016\/j.scitotenv.2020.140786","journal-title":"Sci Total Environ"},{"key":"5774_CR50","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.measurement.2016.07.036","volume":"93","author":"A Szczurek","year":"2016","unstructured":"Szczurek A, Maciejewska M, Wy\u0142oma\u0144ska A et al (2016) Detection of occupancy profile based on carbon dioxide concentration pattern matching. Measurement 93:265\u2013271. https:\/\/doi.org\/10.1016\/j.measurement.2016.07.036","journal-title":"Measurement"},{"key":"5774_CR51","doi-asserted-by":"publisher","first-page":"10700","DOI":"10.3390\/ijerph120910700","volume":"12","author":"PW Tait","year":"2015","unstructured":"Tait PW, Hanna EG (2015) A conceptual framework for planning systemic human adaptation to global warming. Int J Environ Res Public Health 12:10700\u201310722. https:\/\/doi.org\/10.3390\/ijerph120910700","journal-title":"Int J Environ Res Public Health"},{"key":"5774_CR52","doi-asserted-by":"publisher","first-page":"055006","DOI":"10.1088\/1748-9326\/aabef2","volume":"13","author":"C Tebaldi","year":"2018","unstructured":"Tebaldi C, Knutti R (2018) Evaluating the accuracy of climate change pattern emulation for low warming targets. Environ Res Lett 13:055006. https:\/\/doi.org\/10.1088\/1748-9326\/aabef2","journal-title":"Environ Res Lett"},{"key":"5774_CR53","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.scitotenv.2018.08.262","volume":"649","author":"S Tong","year":"2019","unstructured":"Tong S, Li X, Zhang JC (2019) Spatial and temporal variability in extreme temperature and precipitation events in Inner Mongolia (China) during 1960\u20132017. Sci Total Environ 649:75\u201389. https:\/\/doi.org\/10.1016\/j.scitotenv.2018.08.262","journal-title":"Sci Total Environ"},{"key":"5774_CR54","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1016\/j.cosust.2018.03.003","volume":"31","author":"WR Travis","year":"2018","unstructured":"Travis WR, Smith JB, Yohe GW (2018) Moving toward 1.5\u00b0C of warming: implications for climate adaptation strategies. Curr Opin Environ Sust 31:146\u2013152. https:\/\/doi.org\/10.1016\/j.cosust.2018.03.003","journal-title":"Curr Opin Environ Sust"},{"key":"5774_CR55","unstructured":"UNFCCC (2015) Adoption of the Paris Agreement. Report No. FCCC\/CP\/2015\/L.9\/Rev.1. http:\/\/unfccc.int\/resource\/docs\/2015\/cop21\/eng\/l09r01.pdf"},{"key":"5774_CR56","doi-asserted-by":"publisher","first-page":"10823","DOI":"10.1002\/2015JD023640","volume":"120","author":"EJM van den Besselaar","year":"2015","unstructured":"van den Besselaar EJM, Sanchez-Lorenzo A, Wild M et al (2015) Relationship between sunshine duration and temperature trends across Europe since the second half of the twentieth century. J Geophys Res Atmos 120:10823\u201310836. https:\/\/doi.org\/10.1002\/2015JD023640","journal-title":"J Geophys Res Atmos"},{"key":"5774_CR57","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1007\/s00376-016-6160-5","volume":"34","author":"Y Wang","year":"2017","unstructured":"Wang Y, Zhou B, Qin D et al (2017) Changes in mean and extreme temperature and precipitation over the arid region of northwestern China: Observation and projection. Adv Atmos Sci 34:289\u2013305. https:\/\/doi.org\/10.1007\/s00376-016-6160-5","journal-title":"Adv Atmos Sci"},{"key":"5774_CR58","doi-asserted-by":"publisher","first-page":"840","DOI":"10.1016\/j.energy.2018.09.118","volume":"165","author":"K Wang","year":"2018","unstructured":"Wang K, Qi X, Liu H et al (2018) Deep belief network based k-means cluster approach for short-term wind power forecasting. Energy 165:840\u2013852. https:\/\/doi.org\/10.1016\/j.energy.2018.09.118","journal-title":"Energy"},{"key":"5774_CR59","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1016\/j.envint.2018.12.057","volume":"124","author":"X Wang","year":"2019","unstructured":"Wang X, Chen M, Gong P et al (2019) Perfluorinated alkyl substances in snow as an atmospheric tracer for tracking the interactions between westerly winds and the Indian Monsoon over western China. Environ Int 124:294\u2013301. https:\/\/doi.org\/10.1016\/j.envint.2018.12.057","journal-title":"Environ Int"},{"key":"5774_CR60","doi-asserted-by":"publisher","first-page":"2965","DOI":"10.1007\/s00382-017-4059-1","volume":"51","author":"Q Wu","year":"2018","unstructured":"Wu Q, Yao Y, Liu S et al (2018) Tropical Indian Ocean warming contributions to China winter climate trends since 1960. Clim Dyn 51:2965\u20132987. https:\/\/doi.org\/10.1007\/s00382-017-4059-1","journal-title":"Clim Dyn"},{"key":"5774_CR61","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1016\/j.gloplacha.2018.11.001","volume":"172","author":"Y Wu","year":"2019","unstructured":"Wu Y, Ji H, Wen J et al (2019) The characteristics of regional heavy precipitation events over eastern monsoon China during 1960\u20132013. Glob Planet Change 172:414\u2013427. https:\/\/doi.org\/10.1016\/j.gloplacha.2018.11.001","journal-title":"Glob Planet Change"},{"key":"5774_CR62","doi-asserted-by":"publisher","first-page":"5827","DOI":"10.1029\/2017JD028226","volume":"123","author":"Y Xi","year":"2018","unstructured":"Xi Y, Miao C, Wu J et al (2018) Spatiotemporal changes in extreme temperature and precipitation events in the three-rivers headwater region, China. J Geophys Res Atmos 123:5827\u20135844. https:\/\/doi.org\/10.1029\/2017JD028226","journal-title":"J Geophys Res Atmos"},{"key":"5774_CR63","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.accre.2017.03.007","volume":"8","author":"J Xia","year":"2017","unstructured":"Xia J, Duan QY, Luo Y et al (2017) Climate change and water resources: case study of Eastern Monsoon Region of China. Adv Clim Change Res 8:63\u201367. https:\/\/doi.org\/10.1016\/j.accre.2017.03.007","journal-title":"Adv Clim Change Res"},{"key":"5774_CR64","doi-asserted-by":"publisher","first-page":"1969","DOI":"10.1007\/s00024-012-0619-9","volume":"170","author":"YJ Yang","year":"2013","unstructured":"Yang YJ, Wu BW, Shi CE et al (2013) Impacts of urbanization and station-relocation on surface air temperature series in Anhui Province, China. Pure Appl Geophys 170:1969\u20131983. https:\/\/doi.org\/10.1007\/s00024-012-0619-9","journal-title":"Pure Appl Geophys"},{"key":"5774_CR65","doi-asserted-by":"publisher","first-page":"2041","DOI":"10.1007\/s11430-017-9097-1","volume":"60","author":"Q Yuan","year":"2017","unstructured":"Yuan Q, Wu S, Dai E et al (2017) Spatio-temporal variation of the wet-dry conditions from 1961 to 2015 in China. Sci China Earth Sci 60:2041\u20132050. https:\/\/doi.org\/10.1007\/s11430-017-9097-1","journal-title":"Sci China Earth Sci"},{"key":"5774_CR66","doi-asserted-by":"publisher","first-page":"3891","DOI":"10.1007\/s00382-018-4364-3","volume":"52","author":"Q Zhang","year":"2019","unstructured":"Zhang Q, Yang Z, Hao X (2019) Conversion features of evapotranspiration responding to climate warming in transitional climate regions in northern China. Clim Dyn 52:3891\u20133903. https:\/\/doi.org\/10.1007\/s00382-018-4364-3","journal-title":"Clim Dyn"},{"key":"5774_CR67","volume-title":"New version of China\u2019s physical geography","author":"J Zhao","year":"2018","unstructured":"Zhao J (2018) New version of China\u2019s physical geography. Higher Education Press, Beijing ((in Chinese))"},{"key":"5774_CR68","doi-asserted-by":"publisher","first-page":"5641","DOI":"10.1007\/s00382-018-4469-8","volume":"52","author":"J Zhu","year":"2019","unstructured":"Zhu J, Huang G, Baetz B et al (2019) Climate warming will not decrease perceived low-temperature extremes in China. Clim Dyn 52:5641\u20135656. https:\/\/doi.org\/10.1007\/s00382-018-4469-8","journal-title":"Clim Dyn"}],"container-title":["Climate Dynamics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00382-021-05774-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00382-021-05774-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00382-021-05774-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,16]],"date-time":"2021-09-16T10:26:36Z","timestamp":1631787996000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00382-021-05774-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,10]]},"references-count":68,"journal-issue":{"issue":"7-8","published-print":{"date-parts":[[2021,10]]}},"alternative-id":["5774"],"URL":"https:\/\/doi.org\/10.1007\/s00382-021-05774-0","relation":{},"ISSN":["0930-7575","1432-0894"],"issn-type":[{"type":"print","value":"0930-7575"},{"type":"electronic","value":"1432-0894"}],"subject":[],"published":{"date-parts":[[2021,5,10]]},"assertion":[{"value":"6 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 April 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 May 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare to have no conflict of interest connected with the presented research.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}