India vs Sri Lanka

India vs Sri Lanka: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 337.9 nights in Sri Lanka, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sri Lanka, by 122.4 nights, or 1.57 times that in India.

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nights a year · CMIP6

India vs Sri Lanka: Tropical nightsTropical nights in 2014: 215.5 nights in India and 337.9 nights in Sri Lanka, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sri Lanka, by 122.4 nights, or 1.57 times that in India.
IndiaSri LankaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sri Lanka 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 Sri Lanka at 356.1 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaSri Lanka
2014215.5337.9
2013216338.4
2012217.4336.9
2011215.5336.8
2010215.2336.2
2009213.7337.2
2008213.7335.4
2007213.3333.4
2006212.5335.8
2005212.9335.4
2004214.9336
2003212.1334.5
2002213335.5
2001212.2335
2000210.8332.9
1999211.9332.1
1998210.3334.3
1997209.5330.9
1996207331.1
1995208.8331.2
1994207.1328.8
1993206326.3
1992203.5324.5
1991208331.7
1990209.9332.5
1989208330.1
1988207.3330.7
1987207.2329.7
1986207.2329.1
1985205.9328
1984206.7328.3
1983203.3324
1982205.7328
1981208.4330.5
1980205.3328.6
1979205.5328.3
1978204.1326.9
1977205.9328.8
1976204.6325.9
1975202.6325.6
1974205.3326.3
1973205.6326.9
1972203.8325.1
1971203.6326.9
1970202.6324.4
1969203.6324.5
1968201.7323.2
1967201.6322.4
1966203.9324.6
1965202.4324.1
1964201.2324.6
1963201.8322.6
1962203.8327.7
1961206.3326.8
1960206326.4
1959206.1326.1
1958204327.2
1957206.5325.5
1956204324.6
1955203.2326.1
1954206324.6
1953204324.4
1952204.4325.9
1951204.3326.3
1950206.3328.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaSri Lanka
2015216.9202.1–228.4339.4328.1–347.4
2016215202.5–227.6339326.4–346.7
2017216.2202.1–228.5339.5327.6–346.8
2018218.3204.5–231.4340.4328.3–347
2019217.4202.3–230.4340.4328.1–346.4
2020217.6203.1–232341.6331.3–348.4
2021219.7204.5–233.2341.5327.8–347.3
2022220.5205.8–233340.6329.7–347.9
2023220.4206.4–233.7342.4331–349.4
2024222.6208.1–236.3343.6332.7–349.8
2025219.7202.7–236.2342.3331–348.4
2026220.2204.2–236.8341.7328.8–350.2
2027223.6207.1–239344334.3–351.2
2028222.1205.1–235.7344.3334.6–350.5
2029225.4210–240.3344333.2–350
2030222.7207.3–235.6345.4334.7–351.4
2031223.8207.1–237.8344.1331.4–351.1
2032225.9210–240.5344.5332.2–352.3
2033223.8209.3–235.4346.1333.6–351.7
2034225.8210–242.7346.2334.9–352.2
2035224.9210.6–240.9345.6337.6–353
2036224.2210.4–240.3347.3335.8–353.1
2037228.3213.6–242.6347332.5–352.5
2038228.1212.6–241.4348338.7–353.5
2039227.4211.9–242.8347.7338.1–352.8
2040227212.2–242347.7337.4–353.8
2041227.1210.7–240.5347.8336.6–353.4
2042229.1214.8–244.2347.4336.7–353.8
2043228.9214.5–244348.1337.1–353.8
2044229.7214.7–244.2347.5338.5–354.6
2045231.2216.6–246.1348.5339.9–354.9
2046232.6216.2–248.6350339–355.4
2047232.4215.5–250350.1339.2–355.3
2048235.6218.5–254.3350.9339.3–356.1
2049235.3218.3–249.9351.7340.7–355.9
2050233.5216.6–253.4350.2339.4–356.3
2051234.9218.6–249.9350.4340.3–356.3
2052234219.4–249.3351.5341.3–356.8
2053234.9219.5–252.5350.6341.6–356.1
2054237.2219.4–253.1351.2339.9–357.3
2055237.2220.7–256.6351.2342.2–356.7
2056238.8221.2–254.9352.4341–358.2
2057235.7218.5–253.8352.2341–357
2058238.8222.8–254.1351.2340.8–358.1
2059241.1224.9–256.2352.4343–357.5
2060240.9225.6–255.6354342.7–358.8
2061237.9220.6–253.7351.9340.9–357.2
2062239.9221.2–259.7352.6341.4–358.1
2063239.9222.3–256.1353341.7–358.6
2064240223.8–256.3353.4342.5–358.9
2065240.9222.9–257.3353.2343.7–357.9
2066241.5224.1–258.6353.9342.3–358.5
2067241.6224.8–257.9352.9342.4–358.9
2068242.3224.6–262.1353.4343–359.6
2069242.8225.4–259.1354344.3–359.1
2070240.1225.3–257.1354.3342.8–358.6
2071241.8223.7–260.2353.5343.4–359.4
2072242.6225.4–259.2354.7345.5–359.2
2073243.8228–259.3353.6343.3–359
2074241.6226.9–258.4354.1345–359.7
2075243.5226.4–258.2354.7344.7–359.5
2076243.2224.6–259.9354.7341.4–360.4
2077243.7226.6–264.6354.9343.5–359.9
2078246.7230.1–261.5353.6342.5–359.6
2079244.9226.4–261.3354.2343.4–360
2080246.7227–263.7354.8343–361.4
2081247.5230.4–264.8355.4345.4–360.3
2082244.6227.9–262.3355.3345–359.4
2083247.5227.8–265.1355.7344.3–360.1
2084247.3228.3–266.8355.9346.4–361.2
2085246.5227.5–267.1354.7345.1–360.5
2086245.6227.7–266.5356344.9–360.4
2087245.5226.7–266.2355.2344.8–360.4
2088247229.4–266.9355.7345–361.9
2089248.1230–266.3356346.1–360.1
2090249228.9–266.4355.6345.5–360.8
2091248.9230–266.5356.2343.4–360.7
2092249.8232.3–267.8356.2345.3–361.5
2093248.1229–266.5355.8343.7–360.9
2094249.1230.6–268.4356344.9–360.6
2095251233.2–270357.1345.9–361
2096247.8231.4–269.3356.2346.8–362.3
2097251.1231.4–268356.6344.6–360.4
2098252.3230.8–268.3356.8344.4–361.1
2099248.7230.1–268.3355.9344.9–361.1
2100250.4232.9–266.7356.1346.8–360.4

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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