Chad vs Niger

Chad vs Niger: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 16 nights, or 1.07 times that in Niger.

Watch it change on the map

nights a year · CMIP6

Chad vs Niger: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 16 nights, or 1.07 times that in Niger.
ChadNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Chad has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Chad at 273.4 nights and Niger at 251.1 nights in 2100.

Every year

nights a year · CMIP6

YearChadNiger
2014237.6221.6
2013231.8216.1
2012237.9220.8
2011236.2220.1
2010234.8219.1
2009231.5217.2
2008230.8216.8
2007229.6216.9
2006229.5214.3
2005228.8213.6
2004228213.6
2003230.9215.5
2002229.8214.6
2001230.2213.4
2000226.4211.2
1999225.1210.4
1998222.9207.7
1997226.3211.5
1996222.4208.6
1995222.3208.3
1994221.4207.8
1993215.6202.6
1992214.4203.4
1991223209.4
1990222.8208.1
1989220206
1988219.9203
1987218.4204.9
1986222.6206.8
1985218203.9
1984216.1201.8
1983213.7200.5
1982214.8201.9
1981218.1204.3
1980215200.6
1979214.5200.5
1978216202
1977216.2203.8
1976215.7201.7
1975212.2199
1974213.8200.6
1973216.9202.6
1972215.2200.7
1971212.6200.8
1970214.3199.8
1969210.3196.1
1968212.8200.3
1967209.1196.6
1966210.8198.2
1965210.3199
1964210.6199.2
1963207.5196.7
1962214.7201.1
1961212.3198.2
1960217.3203.2
1959212.5201.6
1958213.8199.2
1957214201.1
1956213.4199.6
1955213.8199.7
1954214.3201.1
1953211.3196.5
1952213.1197.9
1951213.8199.8
1950213.1200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadNiger
2015235.8215.6–253.1218.8202.8–235.8
2016233.3212.8–247.7217.7201.8–230.6
2017237.6218.6–253.1222.4205.2–237.4
2018235.8217.8–254.4220.5206.3–238.8
2019235.2213.3–255.6219.1201.8–238.1
2020237217.1–255220.9206.9–234.7
2021239.6220–258.2222.8208.2–240.2
2022240.4223.1–258.2226.3209.7–239.2
2023239.1216.7–256.4223.2206.6–238.4
2024246.7227.6–261.2228.4214.3–242.9
2025243.2223.9–259.4226.7211.2–241
2026242.9220.8–260.9226.3210–243.1
2027242.3221.2–258.6228.5209.9–241.1
2028242.7225.4–259.7227.1211.9–240.2
2029246.3227.2–264.1230.4213.3–247.1
2030244.7225.8–261.1226.4211.6–242.2
2031246.8224.7–264.8230.1210.8–247.1
2032244.3226.5–260.2228.7212.3–241
2033247.6228.7–266.1229.9214.9–245.4
2034247.8224.9–263.9229.5212.1–244.9
2035250.9230.3–268.9232.3217.5–248
2036246.7226.3–264.1230.2213.7–244.6
2037249.9230.3–266.2233.2215.1–246.5
2038252.4233.4–268.7234.3218.2–249.7
2039250230.8–267.5231214.2–247.1
2040248.9227–266.8230.8214.8–247.5
2041252230–270.9232.6218.6–252.9
2042250.4232–271.8233.8216.2–250.5
2043251.1232–265.5232.5217.8–245.8
2044251.4230.2–271.3233.8218.2–250.1
2045252.3230.8–270.2233.6218.1–249.7
2046253.6231.9–272.3234.3217–250.2
2047254.6236.7–274.4238.4224.3–253.1
2048254.4236.6–273.6238221.4–254
2049256235.4–272237.7217.4–253
2050255.9234.4–276.1238.2220.7–254.5
2051256.1237.8–275.9236.3220.6–254.7
2052258.3237.1–273.9239.5224.3–255.8
2053255.9234.9–275236.3223.9–255.6
2054260.6233–279.6239.4220.2–257.9
2055259.9239.1–276.6238.6223.7–254.7
2056259.4233.3–279239214.7–260.3
2057262.5240.8–278.4240.4223–256.3
2058259.3239.2–275.5238.2220.2–255.7
2059263.7240.5–282.9243.9224.6–262.7
2060259.3239.3–280239.8222.6–260
2061261.1240.7–281.2242.5224.9–258.5
2062261.4238.1–281.4241.6222.4–259.8
2063263.4239.6–278.6241.3220.9–255.2
2064263.9244.3–283.2244.4225.9–259.5
2065263.7247.7–283.1242.8226.5–262.4
2066265.2245.7–285.6245.6227–263.5
2067262.5242.8–283.8240.7224.9–262
2068266.8241.4–286.3244224.3–265.4
2069262.7242.8–283.1243.9225.5–261.6
2070264.9243.5–284.9243.1225.6–261.3
2071267.9248.5–286246.1230.3–264
2072269.2246.8–285.6247.9229.9–263.7
2073263.7241.6–284.2243.4225.4–262.8
2074264239.7–285.1243.2224.4–264.6
2075266.5246.7–287244.3230.2–263.3
2076267.8245.8–285.7246.5228.5–266.6
2077269.5247.1–290.8250.1232.3–267.4
2078268.6247.9–286.4249.2230.8–264.5
2079266.4247.9–286.3244.4228.7–263.8
2080269.4249.6–289.4248.8230.4–267
2081267.4247.1–291.8247227.8–268.1
2082266.7249.2–286.8247230.6–264.4
2083269.8248.9–287.6247.3230.7–267.5
2084268.4243.4–289.7247.7229.4–265.2
2085270.8251.2–287.4248.9227–264.2
2086270.6249.6–291.5250.4230.9–269.5
2087266.3246.2–289.2245.8226.2–266.9
2088269.2245.6–290.7248.3226.7–271.1
2089270.4251.1–289251.9232.5–269.5
2090270.9245.5–291.1249.7227.7–267.4
2091271.3246.1–293.5248.9230.5–272.2
2092270.6248.3–291.9251229.8–274
2093272.4254.3–289.2249.9234.8–267
2094274254.8–290.2252.2234–267.5
2095273.5251.8–291.6251.1233–270.7
2096273.9252.1–292.5250.8234.8–270.4
2097270.8246–292.1250.2227.8–270.8
2098271.1248.3–290.6250.1228.1–268.5
2099271.8250.5–291.1251.9232.2–268.2
2100273.4254–291.9251.1234.5–271.5

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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