Indonesia vs Saudi Arabia

Indonesia vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 125 nights, or 1.69 times that in Saudi Arabia.

Watch it change on the map

nights a year · CMIP6

Indonesia vs Saudi Arabia: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 125 nights, or 1.69 times that in Saudi Arabia.
IndonesiaSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Indonesia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Indonesia at 334.7 nights and Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaSaudi Arabia
2014306.5181.5
2013306.4180.4
2012306.3182.8
2011304.6182.7
2010305.6179.2
2009303.9177.1
2008303.4180.3
2007302.8178.9
2006302.8177.5
2005303.1177.9
2004303.8177.6
2003301.9177.4
2002301.5175.6
2001302.5178.1
2000300.9176.4
1999300.4173.2
1998299.1173.4
1997297.9173.8
1996296.9172
1995296.7169.2
1994294.6170.4
1993291.6164.6
1992288.5165.9
1991297.5169.2
1990298.6172.7
1989296168.9
1988296.5166.8
1987295.6167.3
1986295.8169.4
1985292.8166
1984293.4165
1983290.1163.5
1982294.4164.7
1981294.8168.9
1980294.5166.8
1979294.1165.3
1978292.4164.8
1977293.4165.6
1976290.8165.9
1975290.7161.2
1974291.5162.9
1973293163.7
1972290.7163.7
1971291.2160.4
1970288.9162.5
1969290.4161.3
1968289.1162.7
1967288.4159.5
1966290.5159.5
1965288.1159.5
1964286.2159.9
1963286.4160.2
1962291.2163.2
1961292.9163.7
1960292.8165.7
1959291.9164.4
1958293.3164.1
1957290.8165.5
1956291.5163.6
1955292.4162
1954290161.2
1953291.4162.5
1952291.7163.4
1951291.7161.2
1950291.8161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaSaudi Arabia
2015308295.7–315.1184.9169.4–198.7
2016307.5296.9–315.6183167.7–195.7
2017308.4295.5–315.6182.6168.1–196.7
2018308.9296.4–316.6186.8173.1–199.4
2019309.9297.8–316.7184.1168.8–199.1
2020310.9299–318.6185.3171.8–198.9
2021310.4298.7–316.4188.6173.6–202.8
2022311.4300–319.6187.6170.7–202
2023311.4300.1–320.6188.6173–203.8
2024313.2302–321.2187.1172.9–203.9
2025312300.2–321.9191.5176–206.1
2026312.6299.9–322.8191.8177.1–205.5
2027312.7301–321.6191.2176.6–206.8
2028313.8302.4–321.9191.9175.5–205.1
2029315.5303.9–324.1192.2176.6–205.7
2030314.2303.1–322.6193.3178.4–206.3
2031314.4301.6–321.9194.7179.1–207.6
2032316.9304.8–325.8192.2175.2–206
2033316.6305.4–323.3192.6177.5–206.9
2034315.4303.9–323.9196.7181.6–213
2035316.3305.6–327.9196.5179.9–211.6
2036317.7305.2–326.2194.1180–209.7
2037318.1306.6–325.2197183.7–209.9
2038319.3307.6–326.7198.4182.3–213.3
2039319.4307.7–326.7198184.4–213.6
2040318.5306.5–329199.2182.1–212.7
2041320.2308.3–328197.7181.4–211.7
2042320308.7–329.2198.3181.2–217
2043318.6306.6–327.8198.2182.3–215.3
2044321309–329.6199.2185.5–213.5
2045320.8308.6–329.8202187.1–216.8
2046322.8308.8–331204.1185.3–219.4
2047323.2308.8–333204.1187.4–220
2048322.3310.5–332.3206.1190.7–220
2049323.8311.6–334.1201.6187.7–216.2
2050323.3310.3–333.5205.7190.2–219.3
2051323.6311.2–334.4204.3188.8–222.1
2052325.1311.7–334.7203.8189.6–218
2053323.9310.9–333.8203.8186.3–218.8
2054324.4311.9–335.4207.6188.3–222.3
2055325.3312.6–335207.8190.8–221
2056325.9312.4–337.2203.7186.6–220.1
2057326.9311.9–335.2207.5188.8–224.2
2058326.4313–336.3205.9189.2–221.4
2059326.4313.9–337.8207.3191.6–226.9
2060329.5314.9–338.2206.9192.7–222.8
2061327.9313.6–336.9206.5190.4–220.9
2062327.6312.4–339.1208.1189.4–228.3
2063327.6313.9–339.4210.4193–227.1
2064328.8314.4–338.6207.5191.9–223.3
2065327.6314.3–337.9208.9193.9–226.1
2066328.6314.7–338.5210.3194.9–228
2067328.8314.3–338210.9193.1–228.6
2068329.8314.4–339.9209.8194.6–228.6
2069329.5315.5–339.3208.9194.5–226.3
2070328.6315.1–338.8211.2191.2–229
2071331.4315.5–340.4215.1196.3–233.3
2072330.3315.9–339.4213.6195.3–229.3
2073331.4317.7–341213.7194.1–231.6
2074329.9316.8–341.1210.5191.9–229.3
2075330.5315.2–340.2212.1196.6–231.8
2076331.5316.2–341.2212.8194.8–230.3
2077332315.9–341.8215.1196.6–233.9
2078331.4318.2–340.9215.5197.6–230.7
2079331.5316.6–341.5213.6197–229
2080332.4317.4–343.2213.6197.1–233.9
2081332.3318.4–341.8214.7194.4–231.6
2082332.8317.8–340.4214198.9–230.9
2083333.1318.7–342.6214.2198.5–238
2084333317.8–342.7217.4197.4–233.1
2085332.6318.1–342.7217.4199.6–237.9
2086333.1318.9–342.3217197.4–237.4
2087332.6318–343.2217.3199.7–238.7
2088334.5319.5–343.1216.1198.2–243.1
2089333.6319–342.6217.6199.5–239
2090333.3319.6–343.3217.3198.5–239.2
2091334.5318.2–343.9218.5202.8–238.4
2092335.1319.7–343.6218.5198.5–241.6
2093333.9320–344.9216.6197.8–236.3
2094335.6320.4–342.8218.8202–236.9
2095335.4319.7–343219.4204.2–237.4
2096334.3319.4–346.1219.9197.7–239.6
2097334.2319.5–343.3216.7196.8–239.7
2098334.9319.4–343.4219.7199.6–241.3
2099334.4319.4–344.6216.8200.8–236.8
2100334.7318.7–343.3218.7202.3–241

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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