India vs Ireland

India vs Ireland: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 0 nights in Ireland, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 215.5 nights.

Watch it change on the map

nights a year · CMIP6

India vs Ireland: Tropical nightsTropical nights in 2014: 215.5 nights in India and 0 nights in Ireland, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 215.5 nights.
IndiaIrelandCMIP6 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 Ireland at 0 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaIreland
2014215.50
20132160
2012217.40
2011215.50
2010215.20
2009213.70
2008213.70
2007213.30
2006212.50
2005212.90
2004214.90
2003212.10
20022130
2001212.20
2000210.80
1999211.90
1998210.30
1997209.50
19962070
1995208.80
1994207.10
19932060
1992203.50
19912080
1990209.90
19892080
1988207.30
1987207.20
1986207.20
1985205.90
1984206.70
1983203.30
1982205.70
1981208.40
1980205.30
1979205.50
1978204.10
1977205.90
1976204.60
1975202.60
1974205.30
1973205.60
1972203.80
1971203.60
1970202.60
1969203.60
1968201.70
1967201.60
1966203.90
1965202.40
1964201.20
1963201.80
1962203.80
1961206.30
19602060
1959206.10
19582040
1957206.50
19562040
1955203.20
19542060
19532040
1952204.40
1951204.30
1950206.30
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaIreland
2015216.9202.1–228.400–0
2016215202.5–227.600–0
2017216.2202.1–228.500–0
2018218.3204.5–231.400–0
2019217.4202.3–230.400–0
2020217.6203.1–23200–0
2021219.7204.5–233.200–0
2022220.5205.8–23300–0
2023220.4206.4–233.700–0
2024222.6208.1–236.300–0
2025219.7202.7–236.200–0
2026220.2204.2–236.800–0
2027223.6207.1–23900–0
2028222.1205.1–235.700–0
2029225.4210–240.300–0
2030222.7207.3–235.600–0
2031223.8207.1–237.800–0
2032225.9210–240.500–0
2033223.8209.3–235.400–0
2034225.8210–242.700–0
2035224.9210.6–240.900–0
2036224.2210.4–240.300–0
2037228.3213.6–242.600–0
2038228.1212.6–241.400–0
2039227.4211.9–242.800–0
2040227212.2–24200–0.1
2041227.1210.7–240.500–0
2042229.1214.8–244.200–0
2043228.9214.5–24400–0
2044229.7214.7–244.200–0
2045231.2216.6–246.100–0
2046232.6216.2–248.600–0
2047232.4215.5–25000–0
2048235.6218.5–254.300–0
2049235.3218.3–249.900–0.1
2050233.5216.6–253.400–0
2051234.9218.6–249.900–0.1
2052234219.4–249.300–0.1
2053234.9219.5–252.500–0
2054237.2219.4–253.100–0.1
2055237.2220.7–256.600–0
2056238.8221.2–254.900–0
2057235.7218.5–253.800–0.2
2058238.8222.8–254.100–0.3
2059241.1224.9–256.200–0
2060240.9225.6–255.600–0.3
2061237.9220.6–253.700–0.1
2062239.9221.2–259.700–0.1
2063239.9222.3–256.100–0.2
2064240223.8–256.300–0
2065240.9222.9–257.300–0.2
2066241.5224.1–258.600–0
2067241.6224.8–257.900–0.5
2068242.3224.6–262.100–0.1
2069242.8225.4–259.100–0.1
2070240.1225.3–257.100–0.1
2071241.8223.7–260.200–0.1
2072242.6225.4–259.200–0
2073243.8228–259.300–0.6
2074241.6226.9–258.400–0.2
2075243.5226.4–258.200–0.1
2076243.2224.6–259.900–0.6
2077243.7226.6–264.600–0.1
2078246.7230.1–261.500–0.7
2079244.9226.4–261.300–0.1
2080246.7227–263.700–0
2081247.5230.4–264.800–0.1
2082244.6227.9–262.300–0.3
2083247.5227.8–265.100–0.1
2084247.3228.3–266.800–0
2085246.5227.5–267.100–0.1
2086245.6227.7–266.500–1.2
2087245.5226.7–266.200–1.1
2088247229.4–266.900–0.2
2089248.1230–266.300–0.4
2090249228.9–266.400–0.1
2091248.9230–266.500–0.4
2092249.8232.3–267.800–0.3
2093248.1229–266.500–0.2
2094249.1230.6–268.400–0.3
2095251233.2–27000–0.6
2096247.8231.4–269.300–0.6
2097251.1231.4–26800–0.6
2098252.3230.8–268.300–0.9
2099248.7230.1–268.300–0.6
2100250.4232.9–266.700–0.2

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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