Ghana vs Niger

Ghana vs Niger: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 135.2 nights, or 1.61 times that in Niger.

Watch it change on the map

nights a year · CMIP6

Ghana vs Niger: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 135.2 nights, or 1.61 times that in Niger.
GhanaNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ghana has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Ghana at 364.2 nights and Niger at 251.1 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaNiger
2014356.8221.6
2013355.8216.1
2012356.8220.8
2011355.7220.1
2010355.9219.1
2009353.2217.2
2008353.1216.8
2007353.8216.9
2006353.9214.3
2005352.7213.6
2004352.4213.6
2003353.8215.5
2002353.2214.6
2001354.9213.4
2000352.2211.2
1999350.2210.4
1998350.6207.7
1997350.5211.5
1996349.1208.6
1995348.9208.3
1994347.9207.8
1993347.1202.6
1992344.5203.4
1991348.4209.4
1990352.1208.1
1989347.9206
1988347.2203
1987346.6204.9
1986348.4206.8
1985347.2203.9
1984346.2201.8
1983344.8200.5
1982344.8201.9
1981346.8204.3
1980344.5200.6
1979346.4200.5
1978343.9202
1977345.9203.8
1976344.5201.7
1975345.3199
1974343200.6
1973344202.6
1972344.4200.7
1971342.7200.8
1970344199.8
1969342.5196.1
1968342200.3
1967342.7196.6
1966342.1198.2
1965342199
1964340199.2
1963342.8196.7
1962345.9201.1
1961344.1198.2
1960345.7203.2
1959344.6201.6
1958344.6199.2
1957344.1201.1
1956343.5199.6
1955342.5199.7
1954346.8201.1
1953344.5196.5
1952341.9197.9
1951343.8199.8
1950340.3200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaNiger
2015356341.5–361.7218.8202.8–235.8
2016356.5341.4–361.5217.7201.8–230.6
2017355.2341.3–361.6222.4205.2–237.4
2018355.8345.7–362.1220.5206.3–238.8
2019353.9343.6–362.3219.1201.8–238.1
2020356341.7–362.9220.9206.9–234.7
2021356.9345.4–362.7222.8208.2–240.2
2022358.2342–362.6226.3209.7–239.2
2023356.7344–361.7223.2206.6–238.4
2024358.6347.7–363.4228.4214.3–242.9
2025357.1347.2–361.9226.7211.2–241
2026357.2343.5–362.7226.3210–243.1
2027357.5344.3–362.4228.5209.9–241.1
2028359.5348.6–363.6227.1211.9–240.2
2029358.8349–363.1230.4213.3–247.1
2030359.6350.6–363.2226.4211.6–242.2
2031360.8351–364230.1210.8–247.1
2032359.7346.4–363.9228.7212.3–241
2033360.2349–364.1229.9214.9–245.4
2034359.4350.8–363.1229.5212.1–244.9
2035360.5350.8–364232.3217.5–248
2036360.9350.6–364.9230.2213.7–244.6
2037361350.5–364233.2215.1–246.5
2038361.4354.4–363.9234.3218.2–249.7
2039361.3352.3–364.5231214.2–247.1
2040361.5352.2–365.2230.8214.8–247.5
2041361.3351.7–364.3232.6218.6–252.9
2042360.6352.3–364.3233.8216.2–250.5
2043360.6351.8–364232.5217.8–245.8
2044361.6353.6–364.8233.8218.2–250.1
2045361.1353.2–364.4233.6218.1–249.7
2046361.9353.1–364.1234.3217–250.2
2047362.3350.3–364.5238.4224.3–253.1
2048362.1354.7–365.3238221.4–254
2049362.6354–364.4237.7217.4–253
2050362.2355.3–364.4238.2220.7–254.5
2051362.3355.7–364.6236.3220.6–254.7
2052362.1354.2–365239.5224.3–255.8
2053362.4354.1–364.5236.3223.9–255.6
2054362.9354.8–364.6239.4220.2–257.9
2055362.5355.1–364.5238.6223.7–254.7
2056363.3355.6–365.7239214.7–260.3
2057363.2355.9–364.8240.4223–256.3
2058363356.3–364.9238.2220.2–255.7
2059362.9356.2–364.8243.9224.6–262.7
2060362.9354.1–365.7239.8222.6–260
2061363.2354–364.9242.5224.9–258.5
2062363.1355–364.9241.6222.4–259.8
2063363.2355.5–364.9241.3220.9–255.2
2064363.3356.6–365.6244.4225.9–259.5
2065363.7357.8–364.9242.8226.5–262.4
2066362.7356.9–364.8245.6227–263.5
2067363.6354.1–364.9240.7224.9–262
2068364.1356.3–365.8244224.3–265.4
2069362.8356.3–364.9243.9225.5–261.6
2070363.3356.2–364.9243.1225.6–261.3
2071363.5355.3–364.9246.1230.3–264
2072364.1355.6–365.8247.9229.9–263.7
2073363.6355.1–364.8243.4225.4–262.8
2074363.4355.4–364.8243.2224.4–264.6
2075363.4357–364.9244.3230.2–263.3
2076363.8358.4–365.8246.5228.5–266.6
2077363.8357.8–365250.1232.3–267.4
2078363.9356.6–364.9249.2230.8–264.5
2079364.2358–365244.4228.7–263.8
2080364.3357.8–366248.8230.4–267
2081363.8357.1–365247227.8–268.1
2082363.5357.1–364.9247230.6–264.4
2083364.1358.3–365247.3230.7–267.5
2084364358.5–365.9247.7229.4–265.2
2085364.1358.3–365248.9227–264.2
2086364.1357.8–365250.4230.9–269.5
2087364.1357.9–365245.8226.2–266.9
2088364.2356.4–365.9248.3226.7–271.1
2089363.9357.6–365251.9232.5–269.5
2090364.2357.6–365249.7227.7–267.4
2091363.9357.6–364.9248.9230.5–272.2
2092364.4356.6–366251229.8–274
2093364.4358.2–365249.9234.8–267
2094364.1357.9–365252.2234–267.5
2095364358.2–365251.1233–270.7
2096363.9358–366250.8234.8–270.4
2097363.9356.3–364.9250.2227.8–270.8
2098363.7357.8–364.9250.1228.1–268.5
2099363.9358.6–365251.9232.2–268.2
2100364.2357.6–365251.1234.5–271.5

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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