Guinea vs Rwanda

Guinea vs Rwanda: Tropical nights

Tropical nights in 2014: 286.6 nights in Guinea and 2.4 nights in Rwanda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 284.2 nights, or 120 times that in Rwanda.

Watch it change on the map

nights a year · CMIP6

Guinea vs Rwanda: Tropical nightsTropical nights in 2014: 286.6 nights in Guinea and 2.4 nights in Rwanda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 284.2 nights, or 120 times that in Rwanda.
GuineaRwandaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Guinea has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Guinea at 345.3 nights and Rwanda at 34.2 nights in 2100.

Every year

nights a year · CMIP6

YearGuineaRwanda
2014286.62.4
2013285.32.8
2012292.92.9
2011288.82.7
2010285.22.3
2009282.52.5
20082792
2007278.91.9
2006278.82.2
2005278.92
20042761.8
2003279.61.8
2002277.12.4
2001279.82.4
2000273.11.7
19992671.6
1998268.41.5
1997266.61
1996260.41.1
1995260.31.1
19942551.2
1993246.60.9
1992242.40.6
1991264.31.2
1990266.41.7
1989259.71.5
1988256.91.2
1987258.41.3
1986259.91.2
1985252.60.8
1984249.61
1983248.40.9
19822500.8
1981253.51.1
1980251.21.1
1979251.20.9
19782520.7
1977250.41.1
19762440.8
1975242.31
1974247.20.9
1973249.31.3
1972246.10.7
1971244.50.7
19702490.6
1969241.20.8
1968241.50.8
1967233.30.5
1966237.70.6
1965239.80.6
19642310.4
1963225.80.6
1962246.90.9
19612460.8
1960250.51.1
1959244.80.7
1958245.60.9
1957247.50.8
1956242.40.7
1955243.50.8
1954250.20.9
1953241.20.8
1952240.30.8
1951248.81
1950240.80.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGuineaRwanda
2015286.7259.9–308.53.41.5–7.6
2016288.9262.6–3042.91.2–5.6
2017291.6265.5–311.43.41.8–5.5
2018295.6269.3–311.83.81.8–7.1
2019291.8266.8–313.63.61.3–6.9
2020291.2265.6–315.44.32.1–7.9
2021295.8268–316.34.22.6–7.5
2022299.9277.9–322.442.9–7.8
2023296273.8–3184.41.9–8.4
2024302.3276.9–322.852–9.6
2025298.9275.2–322.44.42.1–9.5
2026302.5269.3–323.94.81.7–8.9
2027302.6276.3–320.24.92.1–8.7
2028308.2285.4–325.85.21.7–8.7
2029309.3280.6–327.25.43–9.2
2030305.5277.4–322.45.33.1–10.2
2031313.2282.2–329.66.63.4–10.4
2032307.7287.3–329.56.34–12.2
2033310.4282.4–337.86.52.8–12
2034308281.7–327.46.13.3–12.4
2035311.2284.9–3336.83.2–12.7
2036312.8285.7–334.56.83.7–12.7
2037315.5291.8–331.17.94.3–14.6
2038317.9296.3–333.98.44.1–15.3
2039314.1291.6–3367.23.6–15.9
2040316.1292.9–334.67.74.3–14.8
2041315.4296.5–335.78.44.7–15
2042316290.7–336.68.44.4–20.2
2043314.8291.1–332.77.83.8–16.5
2044319.8289.7–337.57.24.1–14.5
2045318.6296.4–3399.24.6–21
2046321.4295.7–337124.6–24.1
2047324.6297.9–342.811.25.4–26
2048324.8304.4–341.111.74.6–25.4
2049324.2302.4–340.212.25.7–26.7
2050322.4299.7–339.611.75.4–22.9
2051326.1300.4–34212.36.4–24
2052324301.5–342.814.56–26.1
2053325.6298–345.312.55–23.9
2054329.5301.3–345.112.85.6–34.3
2055324.4305.3–342.412.66.2–32.8
2056329.6299.4–349.4145.6–31.6
2057332.4301.5–35114.96–32.3
2058328.8305.6–347.615.15.3–38.7
2059330.3310.8–350.514.96.7–38.1
2060328.3309.4–348.218.46.1–38.2
2061330.5304.6–352.816.65.9–40.7
2062327.7307.3–346.517.25.6–49.3
2063333.4311–349.116.46.3–39.1
2064330.9310.6–351.621.76.3–40.1
2065331.4309.7–350.617.17.2–40.5
2066331.8312.3–347.418.37.2–42.5
2067329.1304–348.616.86.3–50.2
2068335.4309.6–354.519.76.6–53.2
2069333.5313–351.417.66–55
2070331.7310.9–352.718.17.6–53.8
2071334.6315.6–352.419.36.3–60
2072338.3317–353.222.18.7–49.3
2073334309.7–351.624.39.2–61.7
2074330.2310.6–35223.28.3–57.2
2075334312–352.221.86.3–53.9
2076338.4321.3–352.126.77–59.7
2077341.4318.4–355.624.19.1–64.8
2078338.1316.6–355.821.48.3–62.1
2079337.5318.8–355.326.47.8–64.8
2080339.8315.4–35828.78.2–62.2
2081339.3318.2–356.625.79–66.4
2082337.9316.1–353.327.59.2–63.2
2083339.2320.8–355.831.68.7–87
2084340.5321–354.631.39.4–78.4
2085343.8319.9–358.135.29.2–79.6
2086342.2318.7–358.7299.7–76.5
2087340.7319.9–357.630.69.5–80
2088341.2318.3–354.932.59.4–76.8
2089337.9318.6–354.827.49.3–82.1
2090341.1315–35625.911.4–96.6
2091339.7319.7–355.543.28.7–89.1
2092339.7320.4–356.833.910.5–89.6
2093341.8325.1–356.235.510.9–91
2094342.2324–356.434.79.4–91.6
2095340.7323.5–359.340.412.9–106.1
2096343.2324–359.735.99.8–99.9
2097340.3313.8–353.832.69.9–89.6
2098339.9318.8–35735.69.8–105.9
2099341.5324.6–355.932.810.9–105.8
2100345.3319.6–357.934.211.1–102.5

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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