Algeria vs Yemen

Algeria vs Yemen: Tropical nights

Tropical nights in 2014: 147.8 nights in Algeria and 175.8 nights in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 28 nights, or 1.19 times that in Algeria.

Watch it change on the map

nights a year · CMIP6

Algeria vs Yemen: Tropical nightsTropical nights in 2014: 147.8 nights in Algeria and 175.8 nights in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 28 nights, or 1.19 times that in Algeria.
AlgeriaYemenCMIP6 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 Algeria at 177.5 nights and Yemen at 225.7 nights in 2100.

Every year

nights a year · CMIP6

YearAlgeriaYemen
2014147.8175.8
2013149.2176.9
2012149.1178.4
2011149.8178.3
2010148.7174.9
2009146.5173.4
2008148.3174
2007146.6173.9
2006146.4173.6
2005145.5172.4
2004146174.3
2003145173.5
2002144.9171.8
2001144.7172.7
2000144167.9
1999141.4168.6
1998142.2168.7
1997141.4168.8
1996139.6166
1995137.5164.3
1994138161.6
1993135.3161.2
1992131.6157.2
1991138.7166.5
1990141.6168.3
1989137.6164.3
1988137.3163.7
1987136.4160.7
1986136.2162.3
1985133.4158.2
1984135.2159.8
1983133.9155.4
1982136.5161.5
1981134.7161.7
1980133.5158.5
1979135160.1
1978134.8158.9
1977133.3161.2
1976133.8157.5
1975134156.9
1974130157.8
1973133.8158.1
1972133.3157.5
1971130.8156.7
1970128.7156.9
1969131.5157.5
1968131.3154.5
1967131152.1
1966131155.1
1965127.2153.5
1964131.7154
1963131154.7
1962132.6155.9
1961132.4158.7
1960134.4160.1
1959134.3156.1
1958133.8158.5
1957134.6158.1
1956132.8156.2
1955133.2157.4
1954130.2156.1
1953130.1155.1
1952132.8157
1951133.7155.4
1950131.7157.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAlgeriaYemen
2015149.7136.5–163.3180.9163.8–197.8
2016148.4136.2–163.8178.4162.7–194.6
2017155139.3–169.4179.8162.3–196.8
2018154.4138.5–167.4183.2165.3–198.6
2019153.9139.9–167.9179162–200.4
2020152.8138.9–166.4181.5163.1–195.9
2021156.2142.9–168.2184.6170.2–202.6
2022157.3142.1–173.6184.1167.5–203.7
2023153.8139.7–166.7186.8170.1–200.5
2024157.2145.1–170.4185.3168.8–206.4
2025156142.2–170186.5164.7–211.8
2026158145.8–170.5187.8167.9–208.8
2027157.9144.9–172186.5167.9–205.3
2028159.1145.3–170.6188.2172.3–203.6
2029158.6145.9–171193175.7–211.5
2030157.3142.8–169.1189.4171.6–207.4
2031158.9145.5–174.1193.4176.6–211.5
2032162.1151.7–174.9192.7173.2–213.2
2033161.3144.7–173.9191.2173–209.1
2034161.5145.2–176.1193.1172.1–214.9
2035162.6149.6–177.8193.1174.5–214.1
2036161.7149.4–175.3194177.6–213.5
2037161.9147.5–176.4195.9180.3–212.8
2038164148–178197.6178.5–217.1
2039163.4147.7–179.3194.8179.8–215.4
2040163.8149.7–179196.4178.8–220.1
2041162.1147.9–175.2198.5176.5–216.9
2042165.2151.6–180.4197.3174.4–225.8
2043163.7150.7–174.1198.3179.3–221
2044164.1150.7–177.7198.7180.5–221.9
2045166.3153.8–177.7199.8181.6–220.3
2046165.5151.5–178.8202.2181.7–229.3
2047166.9151.1–182.8205182.7–229.8
2048166.9154.5–180.8207.4188.8–229.5
2049166.2153.1–178.7203.6186.1–222.5
2050168.1152.8–180.9202.8186.2–226.3
2051166.4152.8–181.4204.6185.1–229.1
2052167.9155.5–185.3207.2186.9–227.7
2053167.8153.5–183203.9186.1–226.9
2054169.9154.7–184.1208.4188.3–234.9
2055171.2156.6–185208.3190.7–228
2056169.6154.7–185208.6188.5–236.3
2057169.5154.9–186.3208.4190.1–233.1
2058168.8154.9–187.6207.2184.7–236
2059171157–188.4213.3191.6–239.3
2060171.7156.6–186.7215194.1–235.3
2061174160.5–186.9209.8189.8–233.3
2062170154.4–189.1211.4189.6–246.5
2063173.1158.9–187.6215.9193.5–239.5
2064171.3156.5–187.5212.6194.7–231.7
2065172.4158.1–185.8212.5191.7–241.4
2066172.7157.8–189.5215.6196.9–241.3
2067173.3158.5–188214.6192.2–242.5
2068174.6157.3–191.3217192.5–243.8
2069174.7158.7–188.1216.7196.5–240.8
2070173.3159.4–186.8214.6189–244.5
2071173.9159.5–192.1221.2192.7–244.8
2072176.4160–191217.5194.7–239.4
2073175.3160.4–192.4220.5197.7–248.2
2074176.7157.1–191.8215.3193.3–240.1
2075174.3158.7–193.2220.7195.5–247.6
2076176.3161.3–192.1219.5196.2–243.5
2077175.9160.3–194220.8193.8–249.9
2078180164.9–191.9220.7198.9–246.9
2079178157.2–194.5219.4195.2–249.3
2080178160.3–192.5221.7197.8–246
2081175.3161.2–192.8222.4199.1–247
2082177.2160.2–192.3220.1198.5–243
2083178.5161.1–195.6217.4195.3–258.9
2084180.1164.6–192.9223.7195.6–246
2085179.6159.9–197.5225.1203.3–254.4
2086179.8163.9–196.8223.1196.5–256
2087179160.6–195.3225.8201.1–255.8
2088179.3163.3–198.8224197.1–259.9
2089178.9163.6–197.4225.6200.2–255.2
2090180.5161.9–196.8225.1201.5–253
2091179.6164.9–197.5228.1201.9–261.8
2092181.6164.7–195.6227.3200.1–261.6
2093181.1162.6–199.4223.6200.9–258.9
2094180.6164.4–193.7223200.3–250.5
2095181.1164.5–195.8228205.2–255.9
2096180.7165.8–199.4225.1201.6–257.9
2097178.3162.2–193.1222.6200.1–251.1
2098180.4164.5–198.3225.6199.6–261
2099182165.3–199.3223.2200.6–251.1
2100177.5163.3–199.1225.7204.7–259.7

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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