Libya vs Niger

Libya vs Niger: Tropical nights

Tropical nights in 2014: 138.1 nights in Libya and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 83.5 nights, or 1.6 times that in Libya.

Watch it change on the map

nights a year · CMIP6

Libya vs Niger: Tropical nightsTropical nights in 2014: 138.1 nights in Libya and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 83.5 nights, or 1.6 times that in Libya.
LibyaNigerCMIP6 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 Libya at 172.3 nights and Niger at 251.1 nights in 2100.

Every year

nights a year · CMIP6

YearLibyaNiger
2014138.1221.6
2013137.8216.1
2012138.4220.8
2011139.2220.1
2010136.9219.1
2009134.6217.2
2008137.9216.8
2007134.2216.9
2006134.3214.3
2005135.4213.6
2004134.1213.6
2003134.3215.5
2002133.8214.6
2001131.4213.4
2000128.8211.2
1999126.8210.4
1998126207.7
1997126.7211.5
1996124.7208.6
1995123.8208.3
1994122207.8
1993117.9202.6
1992118.6203.4
1991125.4209.4
1990123.4208.1
1989119.5206
1988116.9203
1987116.8204.9
1986123.6206.8
1985117.9203.9
1984113.4201.8
1983112.8200.5
1982114201.9
1981117204.3
1980118.8200.6
1979112200.5
1978116.9202
1977112.2203.8
1976116.5201.7
1975113.1199
1974112.4200.6
1973116.2202.6
1972114.6200.7
1971111.4200.8
1970112.2199.8
1969108.3196.1
1968111.9200.3
1967111.4196.6
1966109.5198.2
1965105.7199
1964108.6199.2
1963112.3196.7
1962111.9201.1
1961110.5198.2
1960116.6203.2
1959113.5201.6
1958113.6199.2
1957114.9201.1
1956113.3199.6
1955112.5199.7
1954110.9201.1
1953113.6196.5
1952111.6197.9
1951111.5199.8
1950109.4200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearLibyaNiger
2015140.5122.7–155218.8202.8–235.8
2016140.8126.8–152.9217.7201.8–230.6
2017146128.5–159.7222.4205.2–237.4
2018140.6121.8–159.1220.5206.3–238.8
2019144.3121.2–156.8219.1201.8–238.1
2020143.7126.3–158.3220.9206.9–234.7
2021144.7131.1–159222.8208.2–240.2
2022146.2129.6–163.7226.3209.7–239.2
2023144.7131.2–158.3223.2206.6–238.4
2024148.8135.3–162.1228.4214.3–242.9
2025148131.8–160.5226.7211.2–241
2026148.9135.9–160.7226.3210–243.1
2027146.2129.7–158.7228.5209.9–241.1
2028146133.3–161.9227.1211.9–240.2
2029148.6134.1–161.5230.4213.3–247.1
2030148.3131.9–159.9226.4211.6–242.2
2031149132.5–165.3230.1210.8–247.1
2032151.7137.6–165228.7212.3–241
2033152.7134.7–163.5229.9214.9–245.4
2034152.1136.4–166.8229.5212.1–244.9
2035153.3136.3–168.5232.3217.5–248
2036148.9135.3–162.7230.2213.7–244.6
2037150.2136.1–164.4233.2215.1–246.5
2038153.9139.1–169.1234.3218.2–249.7
2039154.2134.7–172.2231214.2–247.1
2040155.4140.4–168.6230.8214.8–247.5
2041154.4138.9–167.4232.6218.6–252.9
2042158.8139–173.8233.8216.2–250.5
2043156143.6–167.9232.5217.8–245.8
2044153.3138.2–169.2233.8218.2–250.1
2045157.6140–169.7233.6218.1–249.7
2046157139.9–170.8234.3217–250.2
2047157.1142.6–171.9238.4224.3–253.1
2048156.8144.9–168.2238221.4–254
2049156.4141.9–171.2237.7217.4–253
2050160.2144.6–172.3238.2220.7–254.5
2051156.9142.4–172.3236.3220.6–254.7
2052160.6147.6–173.2239.5224.3–255.8
2053160.4145.8–172.2236.3223.9–255.6
2054160143.6–176.2239.4220.2–257.9
2055161.7149–173.4238.6223.7–254.7
2056157.7140.4–173.6239214.7–260.3
2057158.9142.3–177.5240.4223–256.3
2058161.7145.2–179.2238.2220.2–255.7
2059165.2147.4–180.9243.9224.6–262.7
2060162.5143.4–179.2239.8222.6–260
2061162.8147.1–178.6242.5224.9–258.5
2062163.6147.2–177.4241.6222.4–259.8
2063158.9144–174.4241.3220.9–255.2
2064164.6146.1–179244.4225.9–259.5
2065164.6149.1–179242.8226.5–262.4
2066162.6144.6–179.3245.6227–263.5
2067168152–179.9240.7224.9–262
2068167.1148–184.3244224.3–265.4
2069167.1149.7–182.7243.9225.5–261.6
2070164.8147.9–184.1243.1225.6–261.3
2071166.9147.5–183.3246.1230.3–264
2072171.2152.9–181.9247.9229.9–263.7
2073165.5148.3–180.1243.4225.4–262.8
2074163.1144.5–182243.2224.4–264.6
2075164.5148.4–182.4244.3230.2–263.3
2076169.6149.7–184.9246.5228.5–266.6
2077171.2149.1–183.6250.1232.3–267.4
2078171.6153.1–183.2249.2230.8–264.5
2079168.4149.8–182.8244.4228.7–263.8
2080169.4152.6–183248.8230.4–267
2081166.3147.4–180.8247227.8–268.1
2082168.9153.2–184.9247230.6–264.4
2083166.9151.7–186.5247.3230.7–267.5
2084172.9151.6–186.4247.7229.4–265.2
2085168.7152.1–183.4248.9227–264.2
2086173.7157.5–188.1250.4230.9–269.5
2087167.7145–184.9245.8226.2–266.9
2088169.8153–188.3248.3226.7–271.1
2089169.4154–188.9251.9232.5–269.5
2090169.3149.9–188.3249.7227.7–267.4
2091172.9156.2–187.9248.9230.5–272.2
2092172.2154.1–186251229.8–274
2093171.8154.8–187.9249.9234.8–267
2094172.8157.2–185.2252.2234–267.5
2095170.8155.1–186.2251.1233–270.7
2096170.1156.2–189.7250.8234.8–270.4
2097169.4154.6–183.2250.2227.8–270.8
2098169.8151.1–185.7250.1228.1–268.5
2099169.3156.5–188.9251.9232.2–268.2
2100172.3153.7–190.8251.1234.5–271.5

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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