India vs Sudan

India vs Sudan: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 26.9 nights, or 1.12 times that in India.

nights a year · CMIP6

India vs Sudan: Tropical nightsTropical nights in 2014: 215.5 nights in India and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 26.9 nights, or 1.12 times that in India.
IndiaSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts India at 250.4 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaSudan
2014215.5242.4
2013216240
2012217.4242
2011215.5242.2
2010215.2240.6
2009213.7236.5
2008213.7237.1
2007213.3236
2006212.5235.3
2005212.9233.1
2004214.9233.5
2003212.1235.6
2002213234.7
2001212.2235.4
2000210.8230.5
1999211.9232.1
1998210.3230.2
1997209.5231.1
1996207227.3
1995208.8227.8
1994207.1225.3
1993206219.1
1992203.5217.8
1991208227.3
1990209.9227.5
1989208223
1988207.3223.1
1987207.2224.4
1986207.2226.4
1985205.9222.1
1984206.7220.7
1983203.3217
1982205.7216.3
1981208.4223.2
1980205.3220
1979205.5218.4
1978204.1218.5
1977205.9219.3
1976204.6220.1
1975202.6215.7
1974205.3217.5
1973205.6220
1972203.8217.9
1971203.6215.5
1970202.6217
1969203.6213.1
1968201.7214
1967201.6210.3
1966203.9213.3
1965202.4213.4
1964201.2213.2
1963201.8210.1
1962203.8217
1961206.3216.9
1960206221.3
1959206.1217.8
1958204216.2
1957206.5218.9
1956204217.2
1955203.2216.6
1954206218.9
1953204215.1
1952204.4216.4
1951204.3218.5
1950206.3214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaSudan
2015216.9202.1–228.4242.3225.3–258.3
2016215202.5–227.6241.4223.3–254.1
2017216.2202.1–228.5243.2223–259.1
2018218.3204.5–231.4242.3226.4–258.5
2019217.4202.3–230.4243.1221.7–260.4
2020217.6203.1–232244.9225.9–261.7
2021219.7204.5–233.2245.6229.1–261.5
2022220.5205.8–233249230.9–262.3
2023220.4206.4–233.7247.1226.8–263.1
2024222.6208.1–236.3251.5232.8–266.1
2025219.7202.7–236.2250.7232.4–265.6
2026220.2204.2–236.8250230.8–266.6
2027223.6207.1–239248.8228.4–265.6
2028222.1205.1–235.7249232.2–263.1
2029225.4210–240.3251.4232.1–266
2030222.7207.3–235.6252235.4–266.7
2031223.8207.1–237.8253.3234.4–268.9
2032225.9210–240.5250.4232.3–266.6
2033223.8209.3–235.4254.4235.3–269.4
2034225.8210–242.7254.2234.5–269.9
2035224.9210.6–240.9258.3240.2–273.6
2036224.2210.4–240.3252.8235.6–268.6
2037228.3213.6–242.6256.7238.6–271.8
2038228.1212.6–241.4258.7244.8–272.1
2039227.4211.9–242.8259.5241.2–272.5
2040227212.2–242256.4236.7–272.3
2041227.1210.7–240.5259.1241.2–274.5
2042229.1214.8–244.2258.7242–274.7
2043228.9214.5–244258.1240.3–272.6
2044229.7214.7–244.2257.3238.6–274.7
2045231.2216.6–246.1258.8243.1–276.2
2046232.6216.2–248.6261.1241.7–277.6
2047232.4215.5–250261.4244.6–278.4
2048235.6218.5–254.3260.4243.4–279.5
2049235.3218.3–249.9261.9242.6–275.9
2050233.5216.6–253.4263.5245.4–279
2051234.9218.6–249.9263.6246.6–278.8
2052234219.4–249.3263.8248.7–278.3
2053234.9219.5–252.5262.8242.4–279.2
2054237.2219.4–253.1266.3246.6–282.9
2055237.2220.7–256.6265.6245.9–281.4
2056238.8221.2–254.9264.1242.6–281.5
2057235.7218.5–253.8266.4247.6–283.4
2058238.8222.8–254.1265.2247.4–280.3
2059241.1224.9–256.2268.4249.6–285.4
2060240.9225.6–255.6263.6246.7–284.4
2061237.9220.6–253.7266.9250.1–281.9
2062239.9221.2–259.7266.4248.5–285
2063239.9222.3–256.1267.1246.9–283.4
2064240223.8–256.3269250.7–284.7
2065240.9222.9–257.3269.8253.9–285.6
2066241.5224.1–258.6271.4251.9–287.3
2067241.6224.8–257.9270.9250–288.4
2068242.3224.6–262.1271.9251.7–289.8
2069242.8225.4–259.1268251.1–286.2
2070240.1225.3–257.1269252.3–285.8
2071241.8223.7–260.2275.5254.1–290.4
2072242.6225.4–259.2273.3254.2–289.4
2073243.8228–259.3271.9250.7–287.6
2074241.6226.9–258.4270.9249–290.1
2075243.5226.4–258.2273.1254–291.9
2076243.2224.6–259.9272.7255.2–290.9
2077243.7226.6–264.6274.6255.2–292.7
2078246.7230.1–261.5274.3255.6–291.2
2079244.9226.4–261.3272255.2–288.5
2080246.7227–263.7276.6256–292.2
2081247.5230.4–264.8275.1254.1–294.8
2082244.6227.9–262.3272.9258.7–288.6
2083247.5227.8–265.1276.5258–291.7
2084247.3228.3–266.8275.4253–294.9
2085246.5227.5–267.1275.3258.6–291.6
2086245.6227.7–266.5276.4256.9–296.6
2087245.5226.7–266.2273.5253.1–293.3
2088247229.4–266.9273.6253.7–293.6
2089248.1230–266.3276.5256.6–293.4
2090249228.9–266.4276.6256.4–294.6
2091248.9230–266.5277.4256.4–296.6
2092249.8232.3–267.8274.6254.3–294.9
2093248.1229–266.5278261.9–292.1
2094249.1230.6–268.4280.3262.2–294
2095251233.2–270277.5262.6–294
2096247.8231.4–269.3279.7258.7–297
2097251.1231.4–268276.3254.1–297.6
2098252.3230.8–268.3277.7258.2–295.5
2099248.7230.1–268.3276.8257.2–296.2
2100250.4232.9–266.7278.6259–294.3

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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