Madagascar vs Niger

Madagascar vs Niger: Tropical nights

Tropical nights in 2014: 138.3 nights in Madagascar and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 83.3 nights, or 1.6 times that in Madagascar.

nights a year · CMIP6

Madagascar vs Niger: Tropical nightsTropical nights in 2014: 138.3 nights in Madagascar and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 83.3 nights, or 1.6 times that in Madagascar.
MadagascarNigerCMIP6 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 Madagascar at 198.5 nights and Niger at 251.1 nights in 2100.

Every year

nights a year · CMIP6

YearMadagascarNiger
2014138.3221.6
2013138216.1
2012138.3220.8
2011136.8220.1
2010134.2219.1
2009133.5217.2
2008132.3216.8
2007133.1216.9
2006131.6214.3
2005130.3213.6
2004133.5213.6
2003131215.5
2002131.8214.6
2001131.7213.4
2000127.4211.2
1999128.4210.4
1998128.6207.7
1997125.3211.5
1996121.8208.6
1995123.3208.3
1994121.8207.8
1993116202.6
1992116.6203.4
1991124.9209.4
1990126.2208.1
1989124206
1988123.8203
1987122.8204.9
1986123.8206.8
1985120203.9
1984118.6201.8
1983116.5200.5
1982121.8201.9
1981122.1204.3
1980120.3200.6
1979120.7200.5
1978119.3202
1977119203.8
1976117.4201.7
1975116.5199
1974119.5200.6
1973119202.6
1972117200.7
1971116.3200.8
1970117199.8
1969116.3196.1
1968113.1200.3
1967113196.6
1966114.1198.2
1965112.2199
1964109.6199.2
1963109.7196.7
1962115.3201.1
1961118.5198.2
1960118.2203.2
1959119201.6
1958118.7199.2
1957117.6201.1
1956115.5199.6
1955116.6199.7
1954115.9201.1
1953116.4196.5
1952117.4197.9
1951116199.8
1950116.3200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMadagascarNiger
2015142.8126.7–159.3218.8202.8–235.8
2016137.8122.2–156217.7201.8–230.6
2017143.1125.6–159.4222.4205.2–237.4
2018143.7125.9–160.3220.5206.3–238.8
2019143.4124.4–162.3219.1201.8–238.1
2020143.4125.2–159220.9206.9–234.7
2021145.4128.8–160.4222.8208.2–240.2
2022150.4133.4–165.2226.3209.7–239.2
2023149.7132.1–166223.2206.6–238.4
2024150.7131.4–167.9228.4214.3–242.9
2025149128.8–169.1226.7211.2–241
2026150.1127.4–169.9226.3210–243.1
2027151.8131.9–170.8228.5209.9–241.1
2028154.9137.7–173.1227.1211.9–240.2
2029155.7135.2–173.8230.4213.3–247.1
2030154.8136.4–171.3226.4211.6–242.2
2031158.1141.3–174.8230.1210.8–247.1
2032157.9136.2–178.4228.7212.3–241
2033158.9136.7–177.8229.9214.9–245.4
2034158.6140.6–179.6229.5212.1–244.9
2035161.1140.2–181.6232.3217.5–248
2036159.5139.4–177.1230.2213.7–244.6
2037165.8144.7–182.8233.2215.1–246.5
2038166.5149.3–183.9234.3218.2–249.7
2039164.1145.1–183.9231214.2–247.1
2040162.8144.5–184.8230.8214.8–247.5
2041165.8143.5–183.9232.6218.6–252.9
2042165.1144.3–188.4233.8216.2–250.5
2043165.6148.5–184.7232.5217.8–245.8
2044167.3145.8–187233.8218.2–250.1
2045166.9147.1–187.1233.6218.1–249.7
2046171.4149.6–193234.3217–250.2
2047171.7148.8–193.4238.4224.3–253.1
2048173.7151.7–193.6238221.4–254
2049172.2151.4–192.9237.7217.4–253
2050174.4150.5–193.6238.2220.7–254.5
2051175154.3–195.1236.3220.6–254.7
2052176153.8–196.7239.5224.3–255.8
2053176.6151.1–197.8236.3223.9–255.6
2054175.5152.8–199.2239.4220.2–257.9
2055179.2157.3–196.8238.6223.7–254.7
2056178.8156.5–199.7239214.7–260.3
2057177.7155.5–201240.4223–256.3
2058180.5158.9–202.4238.2220.2–255.7
2059181.8158.3–202.5243.9224.6–262.7
2060185.1159.5–207.8239.8222.6–260
2061180.6157.6–203.8242.5224.9–258.5
2062180.6157.1–205.6241.6222.4–259.8
2063185156.8–210.7241.3220.9–255.2
2064184.7159.1–205.7244.4225.9–259.5
2065183.8157.1–208.5242.8226.5–262.4
2066187.3159.6–211245.6227–263.5
2067184.9155.9–208.9240.7224.9–262
2068187.5161.7–211.1244224.3–265.4
2069187.5162–211.3243.9225.5–261.6
2070187.8160.4–213.6243.1225.6–261.3
2071190.7162.7–216.6246.1230.3–264
2072191.8168.2–215.8247.9229.9–263.7
2073191.4168.7–214.5243.4225.4–262.8
2074189.4162.6–217.7243.2224.4–264.6
2075189.3163.8–214.2244.3230.2–263.3
2076191.1164.3–214246.5228.5–266.6
2077191.9168.8–217.1250.1232.3–267.4
2078190.1166.5–219.3249.2230.8–264.5
2079190.1163.7–216.2244.4228.7–263.8
2080194.8167.7–219.4248.8230.4–267
2081191.7166.7–218.1247227.8–268.1
2082193.8169.2–216.7247230.6–264.4
2083194.6166.1–218.1247.3230.7–267.5
2084197.9170–219.7247.7229.4–265.2
2085197.8172.3–223.7248.9227–264.2
2086192.9169.6–220250.4230.9–269.5
2087195.2170.4–220.1245.8226.2–266.9
2088198.1165.1–225.5248.3226.7–271.1
2089196.3167.9–227.6251.9232.5–269.5
2090197.5172.4–228.1249.7227.7–267.4
2091199.2172.7–226.7248.9230.5–272.2
2092202.4170.7–226.6251229.8–274
2093202.1172.3–230.5249.9234.8–267
2094198.3168.6–224252.2234–267.5
2095200.7171.7–225.1251.1233–270.7
2096199.8173.6–226.3250.8234.8–270.4
2097201.2170–227.6250.2227.8–270.8
2098201.1170.7–227.2250.1228.1–268.5
2099198.3173.8–225.8251.9232.2–268.2
2100198.5173.3–227.7251.1234.5–271.5

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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