India vs Japan

India vs Japan: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 58.6 nights in Japan, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 156.9 nights, or 3.68 times that in Japan.

nights a year · CMIP6

India vs Japan: Tropical nightsTropical nights in 2014: 215.5 nights in India and 58.6 nights in Japan, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 156.9 nights, or 3.68 times that in Japan.
IndiaJapanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • India 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 Japan at 87.7 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaJapan
2014215.558.6
201321659.9
2012217.459.3
2011215.557.9
2010215.259.6
2009213.757.6
2008213.757.3
2007213.356.6
2006212.557.5
2005212.957.2
2004214.956.7
2003212.156.1
200221356
2001212.254.2
2000210.853.8
1999211.955.3
1998210.352.4
1997209.552.4
199620752.9
1995208.849.7
1994207.149.5
199320645.4
1992203.545.1
199120849.4
1990209.950.7
198920851.4
1988207.348.1
1987207.247.7
1986207.246.1
1985205.946.7
1984206.744.8
1983203.341.9
1982205.746.4
1981208.445.9
1980205.346.5
1979205.546.7
1978204.147.6
1977205.945.8
1976204.646
1975202.646.9
1974205.345.6
1973205.644.3
1972203.845.8
1971203.644.8
1970202.644
1969203.646.9
1968201.745.7
1967201.648.3
1966203.945.9
1965202.445.8
1964201.244.9
1963201.848.3
1962203.845.6
1961206.348.9
196020646.4
1959206.146.9
195820448.8
1957206.549.2
195620450.6
1955203.247.9
195420646.9
195320449.2
1952204.449.5
1951204.346.2
1950206.349.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaJapan
2015216.9202.1–228.460.649.3–74.4
2016215202.5–227.661.547.9–73.9
2017216.2202.1–228.562.352.1–75.8
2018218.3204.5–231.460.548.5–73.8
2019217.4202.3–230.464.152.1–80.1
2020217.6203.1–23263.151–74.5
2021219.7204.5–233.262.348.5–78.8
2022220.5205.8–23364.653.8–76.5
2023220.4206.4–233.765.951.7–78
2024222.6208.1–236.365.352.9–80.7
2025219.7202.7–236.265.652.8–80.4
2026220.2204.2–236.865.554.2–81.2
2027223.6207.1–23966.452.9–79.5
2028222.1205.1–235.765.352.4–80.1
2029225.4210–240.368.555–80.4
2030222.7207.3–235.666.552.3–80.6
2031223.8207.1–237.866.554.7–80
2032225.9210–240.56650.8–82.1
2033223.8209.3–235.470.354.7–84.8
2034225.8210–242.768.553.9–81.7
2035224.9210.6–240.972.960.4–84.6
2036224.2210.4–240.372.556.1–89.7
2037228.3213.6–242.667.656.7–82.5
2038228.1212.6–241.470.558.6–83.8
2039227.4211.9–242.870.455.6–85.7
2040227212.2–24273.657.4–89.3
2041227.1210.7–240.572.955.6–88.5
2042229.1214.8–244.271.258.1–86.4
2043228.9214.5–24473.357.9–88.1
2044229.7214.7–244.272.657.8–85.5
2045231.2216.6–246.172.959.5–86.7
2046232.6216.2–248.676.261–90.3
2047232.4215.5–25075.656.6–89.3
2048235.6218.5–254.374.858.5–89.4
2049235.3218.3–249.974.359.7–90.8
2050233.5216.6–253.475.160.8–89.3
2051234.9218.6–249.975.861.1–92.4
2052234219.4–249.374.557.9–90.4
2053234.9219.5–252.578.559.6–91.6
2054237.2219.4–253.175.959.6–89.3
2055237.2220.7–256.676.862.2–95.1
2056238.8221.2–254.977.861.9–93.7
2057235.7218.5–253.879.962.8–94.4
2058238.8222.8–254.179.263.7–94.9
2059241.1224.9–256.279.858–95.6
2060240.9225.6–255.678.261.1–95.1
2061237.9220.6–253.780.865.7–96.7
2062239.9221.2–259.78063.6–96.3
2063239.9222.3–256.18064.1–96.5
2064240223.8–256.377.661.4–95.2
2065240.9222.9–257.381.763–97.4
2066241.5224.1–258.680.363.8–94.2
2067241.6224.8–257.981.363.2–97.1
2068242.3224.6–262.179.861.4–99.3
2069242.8225.4–259.182.365–96.1
2070240.1225.3–257.183.360.2–102.3
2071241.8223.7–260.283.663.6–99.2
2072242.6225.4–259.284.363.3–99.1
2073243.8228–259.383.564.9–97.4
2074241.6226.9–258.484.366.8–100.9
2075243.5226.4–258.285.664.1–99.8
2076243.2224.6–259.983.968.8–99.3
2077243.7226.6–264.686.467.6–102.4
2078246.7230.1–261.584.167.7–103.2
2079244.9226.4–261.386.168.3–99.4
2080246.7227–263.784.767.6–103.7
2081247.5230.4–264.883.668.5–104.3
2082244.6227.9–262.386.469.4–107.7
2083247.5227.8–265.185.966.5–105.7
2084247.3228.3–266.885.867.4–102.3
2085246.5227.5–267.187.568.9–102.8
2086245.6227.7–266.584.668.6–105.3
2087245.5226.7–266.287.270.3–107
2088247229.4–266.986.866.3–102.5
2089248.1230–266.385.765.9–103.8
2090249228.9–266.489.469.5–104.4
2091248.9230–266.588.367.4–103.1
2092249.8232.3–267.88667.7–102.3
2093248.1229–266.588.969.8–107.4
2094249.1230.6–268.487.569.3–103.7
2095251233.2–2708872.4–104.9
2096247.8231.4–269.390.771–107.3
2097251.1231.4–26889.471–103.1
2098252.3230.8–268.388.571–106.5
2099248.7230.1–268.388.370.8–102.4
2100250.4232.9–266.787.769.2–106.2

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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