Kuwait vs Saudi Arabia

Kuwait vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 194.4 nights in Kuwait and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kuwait, by 12.9 nights, or 1.07 times that in Saudi Arabia.

nights a year · CMIP6

Kuwait vs Saudi Arabia: Tropical nightsTropical nights in 2014: 194.4 nights in Kuwait and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kuwait, by 12.9 nights, or 1.07 times that in Saudi Arabia.
KuwaitSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kuwait has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Kuwait at 215.9 nights and Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearKuwaitSaudi Arabia
2014194.4181.5
2013194.1180.4
2012194.2182.8
2011192.6182.7
2010190.4179.2
2009188.9177.1
2008191.9180.3
2007192.7178.9
2006189.4177.5
2005189.7177.9
2004189.3177.6
2003186177.4
2002191.7175.6
2001190.1178.1
2000192.1176.4
1999188.5173.2
1998188.5173.4
1997188173.8
1996187.9172
1995184.4169.2
1994186.1170.4
1993182.4164.6
1992183.2165.9
1991183169.2
1990186.6172.7
1989184.5168.9
1988180.9166.8
1987183.5167.3
1986187.4169.4
1985182.4166
1984182.3165
1983180163.5
1982179.9164.7
1981184.7168.9
1980183.2166.8
1979183.8165.3
1978181.4164.8
1977185.2165.6
1976181.7165.9
1975179.6161.2
1974180.2162.9
1973180.5163.7
1972181.1163.7
1971179.7160.4
1970179.9162.5
1969178.5161.3
1968180.5162.7
1967176.5159.5
1966177.7159.5
1965179.3159.5
1964177.3159.9
1963180160.2
1962182.4163.2
1961184163.7
1960182.9165.7
1959184.3164.4
1958183.4164.1
1957184.6165.5
1956181.7163.6
1955180.7162
1954182.4161.2
1953182.1162.5
1952181.9163.4
1951183.8161.2
1950181.2161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKuwaitSaudi Arabia
2015196185–205.9184.9169.4–198.7
2016193.7180.4–207.6183167.7–195.7
2017192.9180.2–204.9182.6168.1–196.7
2018195184.6–204.2186.8173.1–199.4
2019195183.3–204.6184.1168.8–199.1
2020196.1184.7–206.2185.3171.8–198.9
2021197.6184.6–210.3188.6173.6–202.8
2022196.2181.6–208187.6170.7–202
2023198.1186.1–211.4188.6173–203.8
2024196.6181.7–210.8187.1172.9–203.9
2025198.3189.1–210.9191.5176–206.1
2026198.2188.2–210.5191.8177.1–205.5
2027200.2190.5–209.3191.2176.6–206.8
2028201.6185.4–210.2191.9175.5–205.1
2029198.5186.7–207.9192.2176.6–205.7
2030197.8186.3–211.8193.3178.4–206.3
2031203.8189.2–212.5194.7179.1–207.6
2032197.9188.1–212.3192.2175.2–206
2033200.3190.3–213.5192.6177.5–206.9
2034204.9189–216.5196.7181.6–213
2035203.3190.9–215.8196.5179.9–211.6
2036201.1189.9–212.4194.1180–209.7
2037204190.7–213.1197183.7–209.9
2038205.3195.6–216.3198.4182.3–213.3
2039203.1193.6–216.8198184.4–213.6
2040203.7190.1–216.9199.2182.1–212.7
2041202.7189.5–214.2197.7181.4–211.7
2042205.8193.7–215.3198.3181.2–217
2043203.7190.2–212.8198.2182.3–215.3
2044203.8193.7–216.4199.2185.5–213.5
2045205.7194.8–222202187.1–216.8
2046208.5195.4–218204.1185.3–219.4
2047208.8195.7–217.9204.1187.4–220
2048206.2195.8–219206.1190.7–220
2049203.6194.3–215.5201.6187.7–216.2
2050214.5202.5–222.4205.7190.2–219.3
2051210.5195.4–222.8204.3188.8–222.1
2052210.4197.3–224.2203.8189.6–218
2053207.6193.4–220.4203.8186.3–218.8
2054211.1199.5–221.6207.6188.3–222.3
2055208.8202.1–221.8207.8190.8–221
2056207.5189.6–221.6203.7186.6–220.1
2057209.4195.7–224.1207.5188.8–224.2
2058210.8198–222.3205.9189.2–221.4
2059206.7195.6–225.4207.3191.6–226.9
2060207.3198.7–220.5206.9192.7–222.8
2061211.1199.8–219.4206.5190.4–220.9
2062213.6196.9–226.4208.1189.4–228.3
2063210.7195–226.7210.4193–227.1
2064210.1197.2–224.4207.5191.9–223.3
2065209.1200.8–222.7208.9193.9–226.1
2066214.2194.5–225.6210.3194.9–228
2067210196.2–223.8210.9193.1–228.6
2068210.7200.4–222.5209.8194.6–228.6
2069213.9200.5–225.5208.9194.5–226.3
2070215.3204.5–228.1211.2191.2–229
2071218.4201.8–228.6215.1196.3–233.3
2072212.9202.1–227.2213.6195.3–229.3
2073215.5201.4–224.9213.7194.1–231.6
2074212.4198.2–226.7210.5191.9–229.3
2075211.1200.4–225.2212.1196.6–231.8
2076212.7199–229.2212.8194.8–230.3
2077217.7201.6–228215.1196.6–233.9
2078214.6204–226.6215.5197.6–230.7
2079211.8198.4–226.4213.6197–229
2080211201.6–231.2213.6197.1–233.9
2081214.8200.2–228.3214.7194.4–231.6
2082216.8202–227.4214198.9–230.9
2083216.1204.1–233.1214.2198.5–238
2084219.9202.6–228.5217.4197.4–233.1
2085218.9201.3–233.5217.4199.6–237.9
2086218.2200.4–229.2217197.4–237.4
2087215.4202.9–231.8217.3199.7–238.7
2088215.7203.5–235.5216.1198.2–243.1
2089217.2202.3–232.1217.6199.5–239
2090217.1204.9–234.7217.3198.5–239.2
2091215.7203.7–226.7218.5202.8–238.4
2092218204.8–230218.5198.5–241.6
2093216.2202.5–230.3216.6197.8–236.3
2094220.4206.6–231.8218.8202–236.9
2095220.7206–231.6219.4204.2–237.4
2096219.3202.1–230.5219.9197.7–239.6
2097217.7202.4–231.9216.7196.8–239.7
2098218.2202.4–237.7219.7199.6–241.3
2099220.9205.4–235.2216.8200.8–236.8
2100215.9200.2–226.4218.7202.3–241

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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