Colombia vs Saudi Arabia

Colombia vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 98.4 nights, or 1.54 times that in Saudi Arabia.

nights a year · CMIP6

Colombia vs Saudi Arabia: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 98.4 nights, or 1.54 times that in Saudi Arabia.
ColombiaSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Colombia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Colombia at 297.4 nights and Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaSaudi Arabia
2014279.9181.5
2013279.8180.4
2012280.7182.8
2011280182.7
2010279.1179.2
2009279.3177.1
2008278.4180.3
2007277.3178.9
2006277.5177.5
2005277.7177.9
2004278.2177.6
2003277.5177.4
2002277.3175.6
2001278178.1
2000276.2176.4
1999274.6173.2
1998275.2173.4
1997274.4173.8
1996271.2172
1995271.3169.2
1994270.4170.4
1993268164.6
1992264.7165.9
1991273.9169.2
1990275.6172.7
1989271.9168.9
1988270.3166.8
1987271.8167.3
1986271.4169.4
1985268.4166
1984268.2165
1983265.1163.5
1982269.2164.7
1981272.1168.9
1980270.2166.8
1979269.3165.3
1978268.3164.8
1977269.6165.6
1976266.1165.9
1975261.6161.2
1974266.6162.9
1973269.9163.7
1972266.6163.7
1971265.7160.4
1970265.4162.5
1969266161.3
1968264.6162.7
1967261.7159.5
1966263.7159.5
1965263.2159.5
1964260.3159.9
1963254.8160.2
1962266.7163.2
1961267163.7
1960268.6165.7
1959265.5164.4
1958268164.1
1957267.4165.5
1956263.3163.6
1955267.7162
1954267.2161.2
1953267.9162.5
1952268.1163.4
1951267.2161.2
1950266.5161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaSaudi Arabia
2015280.4265.9–286.4184.9169.4–198.7
2016279.9267.9–285.6183167.7–195.7
2017281.7270.6–286.3182.6168.1–196.7
2018281.5271.8–286.3186.8173.1–199.4
2019281.1269.5–286.9184.1168.8–199.1
2020282.1270.6–287.9185.3171.8–198.9
2021283.2273.9–287.8188.6173.6–202.8
2022283.7273.6–288.5187.6170.7–202
2023282.6274.2–288.8188.6173–203.8
2024284.7274.7–289.8187.1172.9–203.9
2025283.5273.3–289.7191.5176–206.1
2026283.4272.7–289.7191.8177.1–205.5
2027283.9273.4–289.2191.2176.6–206.8
2028285275.1–290.7191.9175.5–205.1
2029285.8276–290.3192.2176.6–205.7
2030284.2273.4–289.8193.3178.4–206.3
2031285.8274.8–291.2194.7179.1–207.6
2032286.7278.3–292.6192.2175.2–206
2033285.7274.7–290.3192.6177.5–206.9
2034285275.8–292.8196.7181.6–213
2035285.9277.3–292196.5179.9–211.6
2036286276.9–291.6194.1180–209.7
2037287.5279.3–291.9197183.7–209.9
2038288279.7–292.4198.4182.3–213.3
2039287.6278.8–292.7198184.4–213.6
2040287.6279.3–294.5199.2182.1–212.7
2041288.2279.9–292.7197.7181.4–211.7
2042288.2278.3–295198.3181.2–217
2043287.7277.7–293.4198.2182.3–215.3
2044287.8278.5–295.1199.2185.5–213.5
2045288.8280.5–293.9202187.1–216.8
2046290.4281–295.5204.1185.3–219.4
2047289.9280.6–294.6204.1187.4–220
2048290.7281.4–296.8206.1190.7–220
2049290.9282–295.3201.6187.7–216.2
2050290.1280.8–296205.7190.2–219.3
2051290.6280.9–295.7204.3188.8–222.1
2052290.9281.9–296.7203.8189.6–218
2053290.5280.8–296.3203.8186.3–218.8
2054290.8281.3–297.2207.6188.3–222.3
2055291.1282.6–298207.8190.8–221
2056291.5281.5–298.6203.7186.6–220.1
2057291.5281.2–297.3207.5188.8–224.2
2058291.8281.7–298.9205.9189.2–221.4
2059292.8282–299.2207.3191.6–226.9
2060293.2283–300.1206.9192.7–222.8
2061292.2281.9–298.7206.5190.4–220.9
2062292.6282.4–299.7208.1189.4–228.3
2063293.6282.3–298.6210.4193–227.1
2064292.7282.9–299.1207.5191.9–223.3
2065293.8283.6–299.4208.9193.9–226.1
2066293.1283.4–299.8210.3194.9–228
2067292.9281.8–299.6210.9193.1–228.6
2068294.2282.5–300.6209.8194.6–228.6
2069292.9282.4–300208.9194.5–226.3
2070292.9282.8–300.8211.2191.2–229
2071294.2282.8–301.5215.1196.3–233.3
2072294.9285.1–301.9213.6195.3–229.3
2073294.9285.5–302.2213.7194.1–231.6
2074293.9283.3–300.3210.5191.9–229.3
2075294.1283.2–300.6212.1196.6–231.8
2076294.9284.6–302212.8194.8–230.3
2077295.3284.3–301.9215.1196.6–233.9
2078294.4285–302215.5197.6–230.7
2079294.8283.7–301.8213.6197–229
2080295.1283.4–302.8213.6197.1–233.9
2081295.1284.8–302.6214.7194.4–231.6
2082295.1284.9–301.3214198.9–230.9
2083295.4284.5–304.6214.2198.5–238
2084296285.1–304.4217.4197.4–233.1
2085296.6285–305217.4199.6–237.9
2086295.6284.8–303.6217197.4–237.4
2087295.3284.1–303.4217.3199.7–238.7
2088295.9284.5–305.5216.1198.2–243.1
2089295.6285–304.5217.6199.5–239
2090295.7285.8–304.6217.3198.5–239.2
2091297285–304.9218.5202.8–238.4
2092296.8286–305.7218.5198.5–241.6
2093296.3285.6–305.3216.6197.8–236.3
2094296.4285.8–305218.8202–236.9
2095297.9285.6–304.9219.4204.2–237.4
2096296285.9–307.5219.9197.7–239.6
2097296.5284.8–303.4216.7196.8–239.7
2098296.6286–307.3219.7199.6–241.3
2099297284.6–305.4216.8200.8–236.8
2100297.4286.5–305.2218.7202.3–241

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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