Colombia vs Israel

Colombia vs Israel: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 182 nights, or 2.86 times that in Israel.

Watch it change on the map

nights a year · CMIP6

Colombia vs Israel: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 97.9 nights in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 182 nights, or 2.86 times that in Israel.
ColombiaIsraelCMIP6 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 Israel at 149.4 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaIsrael
2014279.997.9
2013279.898
2012280.796.3
201128096.1
2010279.195.5
2009279.392.5
2008278.494.1
2007277.392.7
2006277.592
2005277.792.3
2004278.290.7
2003277.593.9
2002277.389.5
200127891
2000276.289.5
1999274.686.2
1998275.284.8
1997274.484.2
1996271.283.7
1995271.379.3
1994270.480.1
199326871.6
1992264.774.9
1991273.978.4
1990275.680.2
1989271.976.9
1988270.376.5
1987271.875.1
1986271.478.3
1985268.474
1984268.269.4
1983265.168.9
1982269.273.5
1981272.173.5
1980270.275.3
1979269.368.7
1978268.371.6
1977269.672.3
1976266.173.2
1975261.670.9
1974266.672.5
1973269.971.9
1972266.669.9
1971265.773.1
1970265.471.6
196926670.6
1968264.669.6
1967261.766.9
1966263.768.8
1965263.263.5
1964260.366.1
1963254.870.9
1962266.773
196126771.5
1960268.674.9
1959265.575
195826873
1957267.474.8
1956263.374.3
1955267.772.8
1954267.271.4
1953267.973.7
1952268.172
1951267.275.1
1950266.569.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaIsrael
2015280.4265.9–286.4105.988.4–122.7
2016279.9267.9–285.6104.186.9–120.1
2017281.7270.6–286.3107.892.2–121.4
2018281.5271.8–286.310993.8–124.2
2019281.1269.5–286.910989.1–124.5
2020282.1270.6–287.9111.594.8–123.5
2021283.2273.9–287.811097.7–128.4
2022283.7273.6–288.5111.493.6–130.2
2023282.6274.2–288.8117.297.9–130.5
2024284.7274.7–289.8114.5100.4–127.3
2025283.5273.3–289.7116.698.3–129.2
2026283.4272.7–289.7115.9104.9–126.2
2027283.9273.4–289.2115.699–127.1
2028285275.1–290.7116.3100.2–127.9
2029285.8276–290.3117103.1–129.2
2030284.2273.4–289.8118.6102.1–131.2
2031285.8274.8–291.2116.8104.4–132.8
2032286.7278.3–292.6121.4106.5–134.7
2033285.7274.7–290.3122.1108.9–134.7
2034285275.8–292.8119.7103.1–133.4
2035285.9277.3–292122.8105.8–138.8
2036286276.9–291.6120.2105.5–136.2
2037287.5279.3–291.9121.6106.3–139.4
2038288279.7–292.4126.5105.7–142.1
2039287.6278.8–292.7127.7110.5–147.1
2040287.6279.3–294.5124.2109.7–144.9
2041288.2279.9–292.7126108.4–141.5
2042288.2278.3–295128.5105.8–144.3
2043287.7277.7–293.4126.5111.8–144.3
2044287.8278.5–295.1125.9108.5–142.9
2045288.8280.5–293.9130.9117.5–148.6
2046290.4281–295.5131114.4–147.2
2047289.9280.6–294.6132.3116.1–145.4
2048290.7281.4–296.8129.9118.5–146.9
2049290.9282–295.3127.9108.7–143.9
2050290.1280.8–296133.3114.3–147
2051290.6280.9–295.7130.3116.7–143.9
2052290.9281.9–296.7130.3119.9–143.5
2053290.5280.8–296.3135120.4–149.7
2054290.8281.3–297.2134.1118.8–149.3
2055291.1282.6–298134.1115.2–150.3
2056291.5281.5–298.6136110.1–151.1
2057291.5281.2–297.3132.7110.9–155
2058291.8281.7–298.9135.7119.1–155.4
2059292.8282–299.2138.8118.5–156.7
2060293.2283–300.1136.1116.3–159.2
2061292.2281.9–298.7136119–150.7
2062292.6282.4–299.7139118.7–156
2063293.6282.3–298.6137.4120.1–151.2
2064292.7282.9–299.1139.3121–154.3
2065293.8283.6–299.4139.6122.3–154.3
2066293.1283.4–299.8137.3119.6–153.7
2067292.9281.8–299.6142.8126–157.8
2068294.2282.5–300.6141.2122.8–156.4
2069292.9282.4–300141.5123.7–157.6
2070292.9282.8–300.8141.8120.5–157.5
2071294.2282.8–301.5142.9124.3–161.8
2072294.9285.1–301.9144.3127–158.5
2073294.9285.5–302.2143.6127.3–159.2
2074293.9283.3–300.3138.8123–162.2
2075294.1283.2–300.6138.1120.8–154.6
2076294.9284.6–302143.2126.8–161.5
2077295.3284.3–301.9142.8120.5–161.6
2078294.4285–302143.6128.2–160.6
2079294.8283.7–301.8148.6123.7–160.2
2080295.1283.4–302.8145.5123.5–163.7
2081295.1284.8–302.6143.7128.1–161.2
2082295.1284.9–301.3145.8129.5–160.6
2083295.4284.5–304.6149.4126–163.1
2084296285.1–304.4148128.2–164
2085296.6285–305149127.9–162.4
2086295.6284.8–303.6148127.4–167.1
2087295.3284.1–303.4146.4123.7–165.7
2088295.9284.5–305.5147.6133.5–165.3
2089295.6285–304.5148.4131.4–169.1
2090295.7285.8–304.6147.6132.4–168.8
2091297285–304.9151.9131.7–170.6
2092296.8286–305.7148.2132–167.4
2093296.3285.6–305.3154.1135.3–172.2
2094296.4285.8–305153.2133.6–170.3
2095297.9285.6–304.9148.2131.4–164.1
2096296285.9–307.5150.5130.5–172.6
2097296.5284.8–303.4149.8134.4–172.7
2098296.6286–307.3150.9131.3–170.1
2099297284.6–305.4149.5129–166.6
2100297.4286.5–305.2149.4130.1–168.5

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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