Austria vs Mexico

Austria vs Mexico: Tropical nights

Tropical nights in 2014: 0.8 nights in Austria and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 102.9 nights, or 120 times that in Austria.

nights a year · CMIP6

Austria vs Mexico: Tropical nightsTropical nights in 2014: 0.8 nights in Austria and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 102.9 nights, or 120 times that in Austria.
AustriaMexicoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mexico has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Austria at 6.7 nights and Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

YearAustriaMexico
20140.8103.7
20130.4103.9
20120.5102.8
20110.6102.9
20100.5101.5
20090.3101.8
20080.3100.1
20070.299.1
20060.499.8
20050.499.5
20040.499.4
20030.398.3
20020.299.1
20010.398.7
20000.397.9
19990.396.6
19980.195.8
19970.195.9
19960.293.8
19950.292.7
19940.190.7
1993089
1992088.5
19910.293.4
19900.294.9
19890.293
19880.192.1
19870.192
19860.190.2
19850.190
1984088
19830.186.7
1982088.7
1981091.5
19800.190.1
1979090.8
19780.189
1977089
19760.189.1
19750.186.8
19740.187.9
1973088.6
19720.187.7
1971086.8
1970086.1
19690.187.5
1968087.1
19670.186.7
1966086.4
1965084.9
19640.184.7
19630.187.1
1962088
19610.189.5
1960089.7
19590.289.6
1958089.1
1957089
19560.188.5
19550.188.2
1954088.4
19530.188.6
19520.187.8
1951089.4
19500.188.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustriaMexico
20150.60.1–2106.192.9–118.4
20160.70.1–2.6107.695–120
20170.90.1–3.4108.696.3–119.7
20180.80.2–3.210997.1–120.4
20190.90.2–2.9110.396.4–123
20201.30.2–3.4109.696.8–121.8
20210.70.1–3.1111.296.9–124.1
20221.10.1–3.4109.796–121.7
20230.90.1–3.9111.898.6–125.3
20240.90.1–3.4112.298.2–126.2
20251.60–411298.8–125.8
20261.40.2–4.4113.999.5–126.4
20271.10.1–3.6112.999.5–128.3
20281.30.3–4.3115.2101.9–127.9
20291.50.2–5.5115.6101.9–127.9
20301.20.1–4.2115.9101.7–128.4
20311.30.2–4.1116.1100.9–129.9
20321.50.2–4.9116.1102.5–129.1
20331.60.1–5117.5102.5–131.1
203420.1–5.8117.2104.1–130.3
20351.90.3–5.3116.4103.1–130.3
20362.30.4–7117.8105.1–131
20372.20.3–6.6118.6104.3–131.7
20381.90.3–7.1121107.5–133.4
20392.80.3–6.4121.3107–135.6
20402.40.7–5.8121.9108.1–135.1
20412.40.5–5.5121.3105.3–134.6
20422.50.4–6.8122.7107.7–137.1
20432.70.4–6.2122.4108.1–137.5
20442.30.6–7.4121.9108–135.6
20452.70.4–6.5123.1108.8–139.2
20462.90.4–8.7123.8109.9–139.4
20473.80.3–8.2125.6111.9–139.4
20483.20.3–10.2126.3113–140.3
20493.50.2–7.6127111.2–140.8
20502.81–7128.1112.6–142.5
20512.40.4–8.2127.2113.4–140.8
20523.60.5–7.5126.2112.5–141.1
20532.30.6–6.3128.4111.5–142.7
20542.70.8–7128.1113.1–142.3
20553.20.5–9.2129114.4–144.7
20563.61–8.8129.5114.3–143.8
20573.30.8–7.5130.3113.5–145.9
205850.3–10.8128.8114.1–144.5
20594.40.6–11.5129.5114.5–144.5
20603.91.1–10131.4115.5–146.5
20614.51.4–9.4131.3118.4–146.8
20623.90.9–9.2130.8115.1–146.3
20635.41.4–11.3131.2115.6–147.9
20644.70.9–9.9132.2116.5–147.8
206551.3–10.6133.1115.8–148.6
20664.91.2–11.6133.3117.2–149.4
20675.91.3–13.5133.3117–150.3
20684.71.6–9.3134.6117.4–150.5
20695.11.3–10.1134.4117.8–150.9
20704.41.2–11.6134.2116.7–151.8
20714.80.5–12.5136.3120.8–152.7
20725.81.9–10.2137.2119.9–153.1
20735.31.4–10.5136.1119.1–153.6
20744.51–11.8136119.7–152.2
20755.61.5–13.6135.2118.5–151.8
20766.20.9–14.6136.3117.4–154.7
20774.51.4–12.9136.8119.6–152.8
20785.61–15137.1118.3–154.2
20796.80.8–17.4138.1121.3–157.1
20806.31.8–13.3137.6120.5–157.9
20815.71.6–12.9137.8120.7–154.7
208272.2–16.2138.7121.6–155.2
20835.31.5–12.9139.2119.3–158.8
20846.11.3–11.5140.3123.4–157.5
20856.41.9–13.3139.2120.9–157.2
20866.41.7–15.1139.8121–157.8
20877.21.4–15.3139.5121.5–157.4
208872.3–15141121.8–159.9
20896.51.8–19140.4121.7–158.9
20906.11.9–17.7141.2123–160.7
20917.91.9–16.7141.8123–161.6
20926.91.4–14.4141.3122.5–159.3
20935.61.4–13.6141.4124.3–161
20948.51.8–15.3142123.3–159.6
20957.21.2–16143.5124–160.7
20966.51–15.2142.3125–161.3
20975.41.1–15141.2123.2–160
20987.62.1–15.1142.2122.5–162
20997.51.3–17.6141.8122.4–160.7
21006.72.5–16.1142.8124.3–160.8

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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