Pakistan vs Saudi Arabia

Pakistan vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 149.9 nights in Pakistan and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 31.6 nights, or 1.21 times that in Pakistan.

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nights a year · CMIP6

Pakistan vs Saudi Arabia: Tropical nightsTropical nights in 2014: 149.9 nights in Pakistan and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 31.6 nights, or 1.21 times that in Pakistan.
PakistanSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Pakistan at 177.6 nights and Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearPakistanSaudi Arabia
2014149.9181.5
2013149.1180.4
2012149.9182.8
2011149182.7
2010148.4179.2
2009147.1177.1
2008147.4180.3
2007147.3178.9
2006146.7177.5
2005146.5177.9
2004147.5177.6
2003146177.4
2002148.3175.6
2001145.4178.1
2000144.7176.4
1999146.9173.2
1998144.8173.4
1997143.2173.8
1996141.2172
1995141.8169.2
1994142.1170.4
1993140.4164.6
1992139.9165.9
1991142.5169.2
1990142.6172.7
1989142.5168.9
1988140.3166.8
1987140167.3
1986140169.4
1985140166
1984138.9165
1983136.3163.5
1982138.5164.7
1981141.5168.9
1980139.5166.8
1979139.1165.3
1978139164.8
1977138.6165.6
1976139.2165.9
1975136.5161.2
1974138.7162.9
1973137.8163.7
1972137.4163.7
1971136160.4
1970137.7162.5
1969135.9161.3
1968136.6162.7
1967135.2159.5
1966136.9159.5
1965138.3159.5
1964135.1159.9
1963135.7160.2
1962137163.2
1961138.6163.7
1960139165.7
1959138.6164.4
1958137.7164.1
1957140165.5
1956137.8163.6
1955137.5162
1954137.8161.2
1953136.9162.5
1952138.1163.4
1951136.7161.2
1950139.1161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPakistanSaudi Arabia
2015152.4138.7–163.3184.9169.4–198.7
2016150.6139.4–161.7183167.7–195.7
2017151.3138.8–162182.6168.1–196.7
2018152.6139.8–161.8186.8173.1–199.4
2019151.8138.1–163.3184.1168.8–199.1
2020153.1140.3–164.5185.3171.8–198.9
2021154.1140.6–165.7188.6173.6–202.8
2022153.1140.2–165.7187.6170.7–202
2023155.5141.6–165.9188.6173–203.8
2024156.8143.3–168.7187.1172.9–203.9
2025155.7141.5–168.6191.5176–206.1
2026155.3142.2–167.9191.8177.1–205.5
2027156.8140.9–168.9191.2176.6–206.8
2028156.5143.9–167.6191.9175.5–205.1
2029155.9141.5–167.7192.2176.6–205.7
2030156.3143.3–167.6193.3178.4–206.3
2031157.3144.4–168.1194.7179.1–207.6
2032157.4142.5–169.6192.2175.2–206
2033157.7143.6–169.4192.6177.5–206.9
2034159.5145.6–173.4196.7181.6–213
2035159.3146.7–170.3196.5179.9–211.6
2036159.1147.5–171.4194.1180–209.7
2037162.2147.5–175.3197183.7–209.9
2038161.4148.6–171.7198.4182.3–213.3
2039160148.2–170.4198184.4–213.6
2040160.9147.9–171.3199.2182.1–212.7
2041160.8146.7–171.7197.7181.4–211.7
2042162.3149.9–175.6198.3181.2–217
2043161.1150.3–173.8198.2182.3–215.3
2044163150.9–173.9199.2185.5–213.5
2045163149.5–174.8202187.1–216.8
2046163.5149.8–177.2204.1185.3–219.4
2047165.2151.8–178.5204.1187.4–220
2048166.4154.1–179.4206.1190.7–220
2049165150.8–178.2201.6187.7–216.2
2050166.9153.5–179.3205.7190.2–219.3
2051165.6150.8–180204.3188.8–222.1
2052166.7155.4–179.5203.8189.6–218
2053166.3154.2–178.8203.8186.3–218.8
2054167.5153.9–181207.6188.3–222.3
2055167.8155.8–182.5207.8190.8–221
2056166.3153.6–179.7203.7186.6–220.1
2057168.3153.9–182.3207.5188.8–224.2
2058167.5157–179.9205.9189.2–221.4
2059170.9155.9–183.8207.3191.6–226.9
2060170.3156.5–181.8206.9192.7–222.8
2061168.8156.8–179.6206.5190.4–220.9
2062171.6153.5–186.5208.1189.4–228.3
2063171.3159.5–183.8210.4193–227.1
2064170.2155.3–184.5207.5191.9–223.3
2065169.7156.4–185208.9193.9–226.1
2066172.2157–186.7210.3194.9–228
2067173.2160.2–186.3210.9193.1–228.6
2068172.6157.7–186.3209.8194.6–228.6
2069171.8157.3–185.6208.9194.5–226.3
2070171.7158.9–186.7211.2191.2–229
2071173.4158.7–186.8215.1196.3–233.3
2072174161.5–186.9213.6195.3–229.3
2073175.6157.2–187.9213.7194.1–231.6
2074173.5160–186.3210.5191.9–229.3
2075173161.5–187.8212.1196.6–231.8
2076172.9158.8–186.7212.8194.8–230.3
2077175161.3–187.8215.1196.6–233.9
2078174.4160.9–189.3215.5197.6–230.7
2079172.5158.3–187.7213.6197–229
2080175.1160.7–189.2213.6197.1–233.9
2081174.9159.2–190.2214.7194.4–231.6
2082175.4161.8–190.6214198.9–230.9
2083176.5161.8–190.8214.2198.5–238
2084176.1160.9–190.5217.4197.4–233.1
2085176.3161.9–193.6217.4199.6–237.9
2086173.9160–189.1217197.4–237.4
2087176161–193.1217.3199.7–238.7
2088175.4160.5–195.2216.1198.2–243.1
2089177.2164.2–191.7217.6199.5–239
2090177.7163.9–192.2217.3198.5–239.2
2091177.8162.8–192.2218.5202.8–238.4
2092178.7162.9–192.9218.5198.5–241.6
2093177164–191216.6197.8–236.3
2094176.8164.1–190.7218.8202–236.9
2095178.6163.8–193.1219.4204.2–237.4
2096177.8163.7–192.5219.9197.7–239.6
2097177.3160.4–192.5216.7196.8–239.7
2098178.7162.6–195.7219.7199.6–241.3
2099176159.9–193.2216.8200.8–236.8
2100177.6162.2–193218.7202.3–241

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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