Algeria vs Mauritania

Algeria vs Mauritania: Tropical nights

Tropical nights in 2014: 147.8 nights in Algeria and 215.9 nights in Mauritania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mauritania, by 68.1 nights, or 1.46 times that in Algeria.

Watch it change on the map

nights a year · CMIP6

Algeria vs Mauritania: Tropical nightsTropical nights in 2014: 147.8 nights in Algeria and 215.9 nights in Mauritania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mauritania, by 68.1 nights, or 1.46 times that in Algeria.
AlgeriaMauritaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mauritania 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 Mauritania at 251.8 nights in 2100.

Every year

nights a year · CMIP6

YearAlgeriaMauritania
2014147.8215.9
2013149.2217.9
2012149.1218.8
2011149.8217.9
2010148.7216
2009146.5215.4
2008148.3216.2
2007146.6213.3
2006146.4214.6
2005145.5212.8
2004146213.3
2003145212.2
2002144.9211.4
2001144.7213.4
2000144211.1
1999141.4210.9
1998142.2208.5
1997141.4207
1996139.6202.9
1995137.5205.2
1994138203.4
1993135.3203.1
1992131.6196
1991138.7205.1
1990141.6210.7
1989137.6201.9
1988137.3201.6
1987136.4201.5
1986136.2202
1985133.4198.9
1984135.2197.8
1983133.9197.8
1982136.5203
1981134.7199.8
1980133.5199.3
1979135201.6
1978134.8199.9
1977133.3199.9
1976133.8197.7
1975134199.6
1974130193.9
1973133.8196.5
1972133.3196
1971130.8194.7
1970128.7192.2
1969131.5194.8
1968131.3195.5
1967131194.7
1966131194.2
1965127.2192.8
1964131.7195
1963131196.3
1962132.6199.5
1961132.4198.3
1960134.4200.7
1959134.3196.9
1958133.8197.7
1957134.6197.8
1956132.8196.4
1955133.2198.2
1954130.2195.5
1953130.1192.9
1952132.8196.6
1951133.7196.2
1950131.7194.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAlgeriaMauritania
2015149.7136.5–163.3216.1198.7–232.8
2016148.4136.2–163.8215.8197.2–230.6
2017155139.3–169.4220.3202–234.4
2018154.4138.5–167.4219.7202.8–237.3
2019153.9139.9–167.9223.4205.7–241.8
2020152.8138.9–166.4221.3196.9–237.4
2021156.2142.9–168.2222.3207.2–237.6
2022157.3142.1–173.6225.3206.8–246
2023153.8139.7–166.7221.1207.6–234.5
2024157.2145.1–170.4226210.6–243.4
2025156142.2–170222.6207.3–241.8
2026158145.8–170.5224207.4–241.8
2027157.9144.9–172225.9207.3–242.6
2028159.1145.3–170.6227.4210–239.9
2029158.6145.9–171226.9209.2–242.4
2030157.3142.8–169.1223.8205.3–241.8
2031158.9145.5–174.1230.6210.7–248.1
2032162.1151.7–174.9229.3212.1–247.1
2033161.3144.7–173.9227.6207.3–246.1
2034161.5145.2–176.1230.1213–247.7
2035162.6149.6–177.8228.6212.8–247.3
2036161.7149.4–175.3229.8215.4–247.8
2037161.9147.5–176.4231.9212.6–249.1
2038164148–178232.7211.7–250.3
2039163.4147.7–179.3231.8215.8–251
2040163.8149.7–179232.8214.7–253.3
2041162.1147.9–175.2232.4217.9–251.6
2042165.2151.6–180.4234.2214.6–253.8
2043163.7150.7–174.1232.5217.8–248.4
2044164.1150.7–177.7237.7218.4–254.1
2045166.3153.8–177.7235.8216.8–251.9
2046165.5151.5–178.8239.1218.3–255.4
2047166.9151.1–182.8240.3219.6–261
2048166.9154.5–180.8239.5222.3–259.9
2049166.2153.1–178.7240.1220.7–257.1
2050168.1152.8–180.9237.2218.9–253.5
2051166.4152.8–181.4236.7218.5–257.6
2052167.9155.5–185.3236.5219.6–262.4
2053167.8153.5–183237.8218.3–258.6
2054169.9154.7–184.1238.6219.5–258.4
2055171.2156.6–185240.1219.3–257.3
2056169.6154.7–185241.2222.9–259
2057169.5154.9–186.3244.6223.1–266.2
2058168.8154.9–187.6239.1221.4–262.5
2059171157–188.4242.3226.2–265.4
2060171.7156.6–186.7243.1227.4–261.8
2061174160.5–186.9245.3222.9–265.9
2062170154.4–189.1238.9218.3–263.2
2063173.1158.9–187.6246.9224.6–263.4
2064171.3156.5–187.5244.1224.1–266.6
2065172.4158.1–185.8243.9222.8–262.7
2066172.7157.8–189.5244.1226.3–265
2067173.3158.5–188243.3223.2–260.4
2068174.6157.3–191.3246228.1–265.8
2069174.7158.7–188.1244.7224.5–262.9
2070173.3159.4–186.8246.2223.5–265.7
2071173.9159.5–192.1244.8226.7–264
2072176.4160–191247.7228.1–267.9
2073175.3160.4–192.4250231.5–271.3
2074176.7157.1–191.8249.4225.1–265.9
2075174.3158.7–193.2245.8226.5–268.4
2076176.3161.3–192.1246.5227.9–264
2077175.9160.3–194249.7230.2–273.4
2078180164.9–191.9253.1231.4–269.4
2079178157.2–194.5249.4224.5–270
2080178160.3–192.5248.9229–267.4
2081175.3161.2–192.8248228.7–272.3
2082177.2160.2–192.3250.5227.7–266.6
2083178.5161.1–195.6250.2228.8–273.7
2084180.1164.6–192.9250.2229.2–269.9
2085179.6159.9–197.5256.7229.3–276.1
2086179.8163.9–196.8248.5229.5–274.5
2087179160.6–195.3249.6228–274
2088179.3163.3–198.8252.9232.3–277.9
2089178.9163.6–197.4253.8230.8–275.2
2090180.5161.9–196.8254232.1–272.4
2091179.6164.9–197.5252.1232.1–277.6
2092181.6164.7–195.6250.4231.2–272
2093181.1162.6–199.4253.7235.3–276.4
2094180.6164.4–193.7254233.7–275.6
2095181.1164.5–195.8253.3229.7–275.7
2096180.7165.8–199.4254.6227.9–276.1
2097178.3162.2–193.1248.6231–268.7
2098180.4164.5–198.3254.5232.7–274.9
2099182165.3–199.3254.4231.4–278
2100177.5163.3–199.1251.8231–272.5

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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