Tunisia vs Yemen

Tunisia vs Yemen: Tropical nights

Tropical nights in 2014: 110.5 nights in Tunisia and 175.8 nights in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 65.3 nights, or 1.59 times that in Tunisia.

nights a year · CMIP6

Tunisia vs Yemen: Tropical nightsTropical nights in 2014: 110.5 nights in Tunisia and 175.8 nights in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 65.3 nights, or 1.59 times that in Tunisia.
TunisiaYemenCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Yemen has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Tunisia at 143.8 nights and Yemen at 225.7 nights in 2100.

Every year

nights a year · CMIP6

YearTunisiaYemen
2014110.5175.8
2013110.7176.9
2012110178.4
2011108.9178.3
2010109.6174.9
2009106.1173.4
2008108.6174
2007106.6173.9
2006107.6173.6
2005105.6172.4
2004105174.3
2003105.5173.5
2002103.8171.8
2001101.8172.7
2000104.5167.9
1999100.1168.6
1998100.1168.7
1997100.1168.8
199699.1166
199595.9164.3
199495161.6
199391.3161.2
199289.9157.2
199198.2166.5
199098.6168.3
198994.7164.3
198894.2163.7
198792.7160.7
198693.7162.3
198590.6158.2
198491.8159.8
198390155.4
198293.9161.5
198193.3161.7
198092.5158.5
197993.8160.1
197890.2158.9
197788.3161.2
197690.5157.5
197588.6156.9
197488.3157.8
197390.5158.1
197291157.5
197188.8156.7
197087.3156.9
196990.1157.5
196888.9154.5
196787.6152.1
196687.5155.1
196584.5153.5
196485.7154
196388154.7
196292.7155.9
196188.3158.7
196090.7160.1
195992.2156.1
195891.8158.5
195792.3158.1
195690156.2
195592.7157.4
195489.9156.1
195389.4155.1
195291.8157
195191.6155.4
195089.6157.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearTunisiaYemen
2015110.796.9–126.1180.9163.8–197.8
2016111.596.6–130.1178.4162.7–194.6
2017116.5102.4–131.8179.8162.3–196.8
2018115.999.4–131.9183.2165.3–198.6
2019116.598.5–129.5179162–200.4
2020113.899.9–130.1181.5163.1–195.9
2021117.4104.1–129.3184.6170.2–202.6
2022119.7103–137.3184.1167.5–203.7
2023118.7102.2–131.9186.8170.1–200.5
2024121107.5–132.6185.3168.8–206.4
2025120.2100–134186.5164.7–211.8
2026122.1110.1–134.5187.8167.9–208.8
2027119103.6–134.1186.5167.9–205.3
2028121.1104.5–135.4188.2172.3–203.6
2029121.5110.2–135.8193175.7–211.5
2030121.6104–133.4189.4171.6–207.4
2031121.8105.7–134.9193.4176.6–211.5
2032125.2111.6–138.9192.7173.2–213.2
2033124.7107.6–137.5191.2173–209.1
2034124.6107–141.7193.1172.1–214.9
2035126.3115.5–142.6193.1174.5–214.1
2036126112.5–141.9194177.6–213.5
2037126.5110–140195.9180.3–212.8
2038126.2111.1–139.1197.6178.5–217.1
2039127112.5–142.3194.8179.8–215.4
2040127.5112.8–144.3196.4178.8–220.1
2041125.5109.1–140.4198.5176.5–216.9
2042129.9114.8–145.8197.3174.4–225.8
2043129.1111.6–142198.3179.3–221
2044127.1112.8–141.8198.7180.5–221.9
2045128.5113.8–140.8199.8181.6–220.3
2046128.3109.9–144202.2181.7–229.3
2047131.2113.6–147.5205182.7–229.8
2048129.9114.9–142.3207.4188.8–229.5
2049130115.4–143.5203.6186.1–222.5
2050132.3117.6–147.6202.8186.2–226.3
2051130.1112.6–148.6204.6185.1–229.1
2052132.7116.8–146.7207.2186.9–227.7
2053132.5119.5–149.8203.9186.1–226.9
2054135.2118.4–148.8208.4188.3–234.9
2055135.1119.2–151.6208.3190.7–228
2056134.8119.6–149.5208.6188.5–236.3
2057131.9118.5–148.6208.4190.1–233.1
2058137.8122.5–156.5207.2184.7–236
2059134.9117.1–152.5213.3191.6–239.3
2060136.2120.5–150.1215194.1–235.3
2061139119.4–154209.8189.8–233.3
2062134.9119.1–155.9211.4189.6–246.5
2063138.6119.2–152.5215.9193.5–239.5
2064134.9121.1–152.7212.6194.7–231.7
2065137.1123.3–150.5212.5191.7–241.4
2066136.6119.2–155.1215.6196.9–241.3
2067138.9124.4–154.3214.6192.2–242.5
2068141.7124.8–159.2217192.5–243.8
2069140.3123.5–154.1216.7196.5–240.8
2070137123.6–155.3214.6189–244.5
2071140.5123.1–156.1221.2192.7–244.8
2072142.6128–154.3217.5194.7–239.4
2073139.3124.7–154.6220.5197.7–248.2
2074140.1123–156.5215.3193.3–240.1
2075139.6124.5–157.1220.7195.5–247.6
2076143.4125.2–158.8219.5196.2–243.5
2077141.3119.1–158.3220.8193.8–249.9
2078143127.2–155.9220.7198.9–246.9
2079144.7123.9–158.5219.4195.2–249.3
2080143.6123.6–158.7221.7197.8–246
2081139.9126.3–158.8222.4199.1–247
2082145.5125.9–158.1220.1198.5–243
2083143.4124.3–158.7217.4195.3–258.9
2084144.8129.6–159.7223.7195.6–246
2085145.3124.7–159.5225.1203.3–254.4
2086144.7129.5–162.7223.1196.5–256
2087144125.7–159.2225.8201.1–255.8
2088147.3127.2–165.4224197.1–259.9
2089142.7125.3–164.8225.6200.2–255.2
2090145.2126.3–165.1225.1201.5–253
2091144.9127.4–164.4228.1201.9–261.8
2092148.2126.3–161.1227.3200.1–261.6
2093146.9127.2–165.6223.6200.9–258.9
2094145.7126.8–160.4223200.3–250.5
2095145.5125.4–161.5228205.2–255.9
2096146.3130–169.4225.1201.6–257.9
2097144.6125.7–160.6222.6200.1–251.1
2098147129.6–161.9225.6199.6–261
2099145.8130.3–163.7223.2200.6–251.1
2100143.8124.8–163.8225.7204.7–259.7

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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