Mexico vs United Arab Emirates

Mexico vs United Arab Emirates: Tropical nights

Tropical nights in 2014: 103.7 nights in Mexico and 215.2 nights in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 111.5 nights, or 2.08 times that in Mexico.

nights a year · CMIP6

Mexico vs United Arab Emirates: Tropical nightsTropical nights in 2014: 103.7 nights in Mexico and 215.2 nights in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 111.5 nights, or 2.08 times that in Mexico.
MexicoUnited Arab EmiratesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • United Arab Emirates has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Mexico at 142.8 nights and United Arab Emirates at 252 nights in 2100.

Every year

nights a year · CMIP6

YearMexicoUnited Arab Emirates
2014103.7215.2
2013103.9215.5
2012102.8219.6
2011102.9218
2010101.5213.7
2009101.8212
2008100.1214.8
200799.1215.8
200699.8215.4
200599.5212.2
200499.4212.4
200398.3213.4
200299.1211.6
200198.7211.6
200097.9212.5
199996.6211.7
199895.8209.4
199795.9210.8
199693.8207.8
199592.7206.6
199490.7206.8
199389204.2
199288.5204.3
199193.4206.7
199094.9208.5
198993205.9
198892.1204
198792203.6
198690.2206.2
198590204.1
198488202.6
198386.7200.4
198288.7203.2
198191.5205.1
198090.1202.8
197990.8203.2
197889201.5
197789202.2
197689.1202.3
197586.8199.3
197487.9202
197388.6200.9
197287.7199.4
197186.8197
197086.1201.3
196987.5199.8
196887.1202.3
196786.7197.7
196686.4198
196584.9200.5
196484.7199.6
196387.1197.9
196288201.1
196189.5200.6
196089.7204.3
195989.6202.6
195889.1202.7
195789203.2
195688.5202.6
195588.2201
195488.4200.2
195388.6200
195287.8200.2
195189.4198.9
195088.1201.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMexicoUnited Arab Emirates
2015106.192.9–118.4221.6206.4–232
2016107.695–120218.7207.6–229.7
2017108.696.3–119.7218.3203.9–232.7
201810997.1–120.4221.4209.2–237.6
2019110.396.4–123218.7202.8–232.2
2020109.696.8–121.8221.7206.9–233.5
2021111.296.9–124.1224.6210.5–236.3
2022109.796–121.7225.3206.9–235.7
2023111.898.6–125.3225209.1–236.4
2024112.298.2–126.2223.8205.2–240
202511298.8–125.8226.3210.1–245
2026113.999.5–126.4227.7214.2–244.9
2027112.999.5–128.3227.6208.2–241.5
2028115.2101.9–127.9229.9210.9–241.3
2029115.6101.9–127.9225.1211–240
2030115.9101.7–128.4227.6216.2–240.9
2031116.1100.9–129.9229.3215.4–238.4
2032116.1102.5–129.1225.5211.9–240.5
2033117.5102.5–131.1224.2211.4–241.3
2034117.2104.1–130.3230.4213–245
2035116.4103.1–130.3231.6214.2–246.5
2036117.8105.1–131230217.2–247.1
2037118.6104.3–131.7232.6220.2–244.5
2038121107.5–133.4233.6213.5–248.4
2039121.3107–135.6231.4218.1–245.6
2040121.9108.1–135.1232.5214–246.4
2041121.3105.3–134.6230.4214.9–244.7
2042122.7107.7–137.1232.6213.3–249.6
2043122.4108.1–137.5233.9220.3–250.1
2044121.9108–135.6236.3223.3–250
2045123.1108.8–139.2236217.2–252
2046123.8109.9–139.4237.5219.3–255
2047125.6111.9–139.4240.9222.1–253
2048126.3113–140.3241.8226.1–256.9
2049127111.2–140.8233.7215.7–249.4
2050128.1112.6–142.5240.1226.8–250.9
2051127.2113.4–140.8240.9227.2–254.5
2052126.2112.5–141.1239.2228.3–256.1
2053128.4111.5–142.7241.4221.7–257.4
2054128.1113.1–142.3241.3223.5–256.1
2055129114.4–144.7240.5223.3–259.3
2056129.5114.3–143.8239.3220.5–258.9
2057130.3113.5–145.9242.2226.6–260.2
2058128.8114.1–144.5238.9224.7–255.4
2059129.5114.5–144.5244.2226.6–262.6
2060131.4115.5–146.5241227.4–255.2
2061131.3118.4–146.8239.9227.9–253.1
2062130.8115.1–146.3243.2227.3–264.4
2063131.2115.6–147.9245.3229.1–264.6
2064132.2116.5–147.8241.1225.2–258.6
2065133.1115.8–148.6244.3225.3–260.5
2066133.3117.2–149.4246230.8–261.7
2067133.3117–150.3245.4223–265.8
2068134.6117.4–150.5245.4232.6–266.7
2069134.4117.8–150.9244.6227.4–262.2
2070134.2116.7–151.8248.1225.9–266.5
2071136.3120.8–152.7248.6231–266
2072137.2119.9–153.1247.9230.2–267
2073136.1119.1–153.6247.9227.6–261.8
2074136119.7–152.2247.5227.3–270.8
2075135.2118.5–151.8251.8234.3–269.8
2076136.3117.4–154.7247.5228.7–266.1
2077136.8119.6–152.8252.9233.3–269.1
2078137.1118.3–154.2249.9234.1–264.7
2079138.1121.3–157.1247.6227.4–265.8
2080137.6120.5–157.9248232–267.9
2081137.8120.7–154.7250.7231–267.6
2082138.7121.6–155.2248.9235.3–266.8
2083139.2119.3–158.8248.6234.2–273.1
2084140.3123.4–157.5248.9228.9–268.2
2085139.2120.9–157.2253236.8–270.7
2086139.8121–157.8253.4234.9–273.3
2087139.5121.5–157.4252.9236.9–274.1
2088141121.8–159.9252.1231.1–276.1
2089140.4121.7–158.9253.4234.1–271.9
2090141.2123–160.7251.9236.4–274.5
2091141.8123–161.6254.8240.7–274.4
2092141.3122.5–159.3254.6232.1–275.1
2093141.4124.3–161250.9233.5–268.9
2094142123.3–159.6251.6236.6–270.8
2095143.5124–160.7252.4238.2–272
2096142.3125–161.3254.6236–272.6
2097141.2123.2–160251.4227.8–278
2098142.2122.5–162257.8237.5–278.8
2099141.8122.4–160.7252.5233.5–276.1
2100142.8124.3–160.8252236.2–276

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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