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Policy makers, as well as society, can address such phenomenon by developing and applying methods which estimate and anticipate maximum temperature occurrences. In this research, we aim to develop a spatiotemporal model which analyzes maximum temperature trends values in the Indian 543 microregions between 1951 and 2020. In 27% of those, a maximum temperature above 45\n                    <jats:sup>\u2218<\/jats:sup>\n                    C was observed, at least in a year. Our analysis indicates further that 80% microregions have maximum temperatures above above 40\n                    <jats:sup>\u2218<\/jats:sup>\n                    C. Additionally, the results unveiled that East, Southwest, and Northwest microregions were the ones where the maximum temperatures had a higher increase with 2\n                    <jats:sup>\u2218<\/jats:sup>\n                    C being the average. The model developed is based on a Generalized Extreme Value (GEV) methodology, to estimate the maximum temperature values from 20 and 50 years. The projection for 20 years showed that in 15.83% of those microregions, at least one occurrence of a maximum temperature above 45\n                    <jats:sup>\u2218<\/jats:sup>\n                    C would occur; while in 50 years, it would happen in 21.54% of the microregions analyzed.\n                  <\/jats:p>","DOI":"10.1007\/s00704-023-04377-5","type":"journal-article","created":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T04:02:36Z","timestamp":1679457756000},"page":"473-520","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Statistical analysis of extreme temperatures in India in the period 1951\u20132020"],"prefix":"10.1007","volume":"152","author":[{"given":"Flavio Ferraz","family":"Vieira","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8435-1136","authenticated-orcid":false,"given":"Manuela","family":"Oliveira","sequence":"additional","affiliation":[]},{"given":"Marco Aur\u00e9lio","family":"Sanfins","sequence":"additional","affiliation":[]},{"given":"Eug\u00e9nio","family":"Gar\u00e7\u00e3o","sequence":"additional","affiliation":[]},{"given":"Hariprasad","family":"Dasari","sequence":"additional","affiliation":[]},{"given":"Venkata","family":"Dodla","sequence":"additional","affiliation":[]},{"given":"G. 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