Niger vs Zambia

Niger vs Zambia: Tropical nights

Tropical nights in 2014: 221.6 nights in Niger and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 158.7 nights, or 3.52 times that in Zambia.

nights a year · CMIP6

Niger vs Zambia: Tropical nightsTropical nights in 2014: 221.6 nights in Niger and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 158.7 nights, or 3.52 times that in Zambia.
NigerZambiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Niger has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Niger at 251.1 nights and Zambia at 171.5 nights in 2100.

Every year

nights a year · CMIP6

YearNigerZambia
2014221.662.9
2013216.164.7
2012220.863.9
2011220.161.5
2010219.159.3
2009217.257.5
2008216.856
2007216.955.1
2006214.355.9
2005213.654.5
2004213.658.4
2003215.556.6
2002214.655
2001213.459
2000211.252.9
1999210.448
1998207.751.3
1997211.547.8
1996208.643.5
1995208.343.9
1994207.841.6
1993202.635.3
1992203.436
1991209.442.7
1990208.146.4
198920645
198820343.6
1987204.944
1986206.843.8
1985203.938.7
1984201.838.7
1983200.538.8
1982201.940
1981204.341.7
1980200.639.7
1979200.540.7
197820238.9
1977203.840
1976201.735.7
197519937.1
1974200.637.4
1973202.638.8
1972200.735
1971200.836
1970199.838.1
1969196.137.1
1968200.334.1
1967196.632.2
1966198.233.1
196519934.9
1964199.231.3
1963196.730.5
1962201.138.8
1961198.237
1960203.239.3
1959201.638.3
1958199.239
1957201.137.8
1956199.634.6
1955199.738.2
1954201.138
1953196.535.4
1952197.937.6
1951199.836.9
1950200.836
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigerZambia
2015218.8202.8–235.872.150.1–93.9
2016217.7201.8–230.666.845.9–85.7
2017222.4205.2–237.471.449.7–92.5
2018220.5206.3–238.873.852.7–94.8
2019219.1201.8–238.173.354–97.6
2020220.9206.9–234.777.556.9–100.4
2021222.8208.2–240.276.755.7–104.5
2022226.3209.7–239.284.861.6–109.7
2023223.2206.6–238.484.763–108
2024228.4214.3–242.985.158.2–113.9
2025226.7211.2–24184.957.1–116
2026226.3210–243.183.658.4–119.4
2027228.5209.9–241.189.562.5–115.7
2028227.1211.9–240.289.965–118.6
2029230.4213.3–247.19669.8–122.8
2030226.4211.6–242.29166.7–118.1
2031230.1210.8–247.197.668.2–121.3
2032228.7212.3–24194.970.3–122.2
2033229.9214.9–245.498.270.1–123.6
2034229.5212.1–244.997.370.4–135.2
2035232.3217.5–248104.168.4–137.8
2036230.2213.7–244.699.568.7–131.5
2037233.2215.1–246.5107.177.4–139.8
2038234.3218.2–249.7110.383.2–138.8
2039231214.2–247.1101.874.3–139.1
2040230.8214.8–247.5100.872.5–145.3
2041232.6218.6–252.9113.978.7–147.6
2042233.8216.2–250.5111.379.1–155.1
2043232.5217.8–245.8106.678.3–150.6
2044233.8218.2–250.1110.574.3–145.5
2045233.6218.1–249.7109.882.2–148.2
2046234.3217–250.2119.485.9–160
2047238.4224.3–253.1123.191.1–159.4
2048238221.4–254124.590.6–160.2
2049237.7217.4–253124.586.1–167.1
2050238.2220.7–254.5130.592–166
2051236.3220.6–254.7128.498.1–169.8
2052239.5224.3–255.8130.798.6–170.4
2053236.3223.9–255.6128.488–168.8
2054239.4220.2–257.9132.193–169.6
2055238.6223.7–254.7132.1100.1–176.1
2056239214.7–260.3132.492.7–179.6
2057240.4223–256.3133.298.5–178.5
2058238.2220.2–255.7137.299.2–179.7
2059243.9224.6–262.7139.8105.8–189.5
2060239.8222.6–260145.4102.9–191
2061242.5224.9–258.5136.692.8–196.9
2062241.6222.4–259.8143.9101–194.7
2063241.3220.9–255.2144.5101.7–187.8
2064244.4225.9–259.5147.998.4–180.9
2065242.8226.5–262.4148.6104.3–199.8
2066245.6227–263.5152.1109.4–193.6
2067240.7224.9–262140.6103.2–195.7
2068244224.3–265.4150.8105.7–200.3
2069243.9225.5–261.6150.5106.3–197
2070243.1225.6–261.3145.8104.7–202.4
2071246.1230.3–264153.1112.7–212
2072247.9229.9–263.7157.2120–195.7
2073243.4225.4–262.8161.5115.2–210.9
2074243.2224.4–264.6149.2115–198.7
2075244.3230.2–263.3148.2111.5–202.2
2076246.5228.5–266.6150.4112–201.9
2077250.1232.3–267.4156.5120.3–208.3
2078249.2230.8–264.5157.2122.2–209.5
2079244.4228.7–263.8156.8118.1–207.3
2080248.8230.4–267159.8116–211.9
2081247227.8–268.1160.2117.1–208.6
2082247230.6–264.4159.6119.6–200.6
2083247.3230.7–267.5159.5110.7–219.9
2084247.7229.4–265.2166124.3–210.3
2085248.9227–264.2172.9126.8–221.1
2086250.4230.9–269.5161.9120.6–224.1
2087245.8226.2–266.9158.3129.2–219.6
2088248.3226.7–271.1168.4123.9–218.5
2089251.9232.5–269.5168.5129.9–217.9
2090249.7227.7–267.4165.7124–223.8
2091248.9230.5–272.2177.4129.5–227.2
2092251229.8–274170.6127.8–221.5
2093249.9234.8–267173.6123.6–223.3
2094252.2234–267.5171.4130.3–220.7
2095251.1233–270.7179131.6–228.6
2096250.8234.8–270.4170.8124.8–233.3
2097250.2227.8–270.8167.2122.2–224.3
2098250.1228.1–268.5172.5131.9–226.9
2099251.9232.2–268.2171.7126.5–229.1
2100251.1234.5–271.5171.5124.3–228

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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