Colombia vs Indonesia

Colombia vs Indonesia: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 26.6 nights, or 1.1 times that in Colombia.

Watch it change on the map

nights a year · CMIP6

Colombia vs Indonesia: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 26.6 nights, or 1.1 times that in Colombia.
ColombiaIndonesiaCMIP6 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 Colombia at 297.4 nights and Indonesia at 334.7 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaIndonesia
2014279.9306.5
2013279.8306.4
2012280.7306.3
2011280304.6
2010279.1305.6
2009279.3303.9
2008278.4303.4
2007277.3302.8
2006277.5302.8
2005277.7303.1
2004278.2303.8
2003277.5301.9
2002277.3301.5
2001278302.5
2000276.2300.9
1999274.6300.4
1998275.2299.1
1997274.4297.9
1996271.2296.9
1995271.3296.7
1994270.4294.6
1993268291.6
1992264.7288.5
1991273.9297.5
1990275.6298.6
1989271.9296
1988270.3296.5
1987271.8295.6
1986271.4295.8
1985268.4292.8
1984268.2293.4
1983265.1290.1
1982269.2294.4
1981272.1294.8
1980270.2294.5
1979269.3294.1
1978268.3292.4
1977269.6293.4
1976266.1290.8
1975261.6290.7
1974266.6291.5
1973269.9293
1972266.6290.7
1971265.7291.2
1970265.4288.9
1969266290.4
1968264.6289.1
1967261.7288.4
1966263.7290.5
1965263.2288.1
1964260.3286.2
1963254.8286.4
1962266.7291.2
1961267292.9
1960268.6292.8
1959265.5291.9
1958268293.3
1957267.4290.8
1956263.3291.5
1955267.7292.4
1954267.2290
1953267.9291.4
1952268.1291.7
1951267.2291.7
1950266.5291.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaIndonesia
2015280.4265.9–286.4308295.7–315.1
2016279.9267.9–285.6307.5296.9–315.6
2017281.7270.6–286.3308.4295.5–315.6
2018281.5271.8–286.3308.9296.4–316.6
2019281.1269.5–286.9309.9297.8–316.7
2020282.1270.6–287.9310.9299–318.6
2021283.2273.9–287.8310.4298.7–316.4
2022283.7273.6–288.5311.4300–319.6
2023282.6274.2–288.8311.4300.1–320.6
2024284.7274.7–289.8313.2302–321.2
2025283.5273.3–289.7312300.2–321.9
2026283.4272.7–289.7312.6299.9–322.8
2027283.9273.4–289.2312.7301–321.6
2028285275.1–290.7313.8302.4–321.9
2029285.8276–290.3315.5303.9–324.1
2030284.2273.4–289.8314.2303.1–322.6
2031285.8274.8–291.2314.4301.6–321.9
2032286.7278.3–292.6316.9304.8–325.8
2033285.7274.7–290.3316.6305.4–323.3
2034285275.8–292.8315.4303.9–323.9
2035285.9277.3–292316.3305.6–327.9
2036286276.9–291.6317.7305.2–326.2
2037287.5279.3–291.9318.1306.6–325.2
2038288279.7–292.4319.3307.6–326.7
2039287.6278.8–292.7319.4307.7–326.7
2040287.6279.3–294.5318.5306.5–329
2041288.2279.9–292.7320.2308.3–328
2042288.2278.3–295320308.7–329.2
2043287.7277.7–293.4318.6306.6–327.8
2044287.8278.5–295.1321309–329.6
2045288.8280.5–293.9320.8308.6–329.8
2046290.4281–295.5322.8308.8–331
2047289.9280.6–294.6323.2308.8–333
2048290.7281.4–296.8322.3310.5–332.3
2049290.9282–295.3323.8311.6–334.1
2050290.1280.8–296323.3310.3–333.5
2051290.6280.9–295.7323.6311.2–334.4
2052290.9281.9–296.7325.1311.7–334.7
2053290.5280.8–296.3323.9310.9–333.8
2054290.8281.3–297.2324.4311.9–335.4
2055291.1282.6–298325.3312.6–335
2056291.5281.5–298.6325.9312.4–337.2
2057291.5281.2–297.3326.9311.9–335.2
2058291.8281.7–298.9326.4313–336.3
2059292.8282–299.2326.4313.9–337.8
2060293.2283–300.1329.5314.9–338.2
2061292.2281.9–298.7327.9313.6–336.9
2062292.6282.4–299.7327.6312.4–339.1
2063293.6282.3–298.6327.6313.9–339.4
2064292.7282.9–299.1328.8314.4–338.6
2065293.8283.6–299.4327.6314.3–337.9
2066293.1283.4–299.8328.6314.7–338.5
2067292.9281.8–299.6328.8314.3–338
2068294.2282.5–300.6329.8314.4–339.9
2069292.9282.4–300329.5315.5–339.3
2070292.9282.8–300.8328.6315.1–338.8
2071294.2282.8–301.5331.4315.5–340.4
2072294.9285.1–301.9330.3315.9–339.4
2073294.9285.5–302.2331.4317.7–341
2074293.9283.3–300.3329.9316.8–341.1
2075294.1283.2–300.6330.5315.2–340.2
2076294.9284.6–302331.5316.2–341.2
2077295.3284.3–301.9332315.9–341.8
2078294.4285–302331.4318.2–340.9
2079294.8283.7–301.8331.5316.6–341.5
2080295.1283.4–302.8332.4317.4–343.2
2081295.1284.8–302.6332.3318.4–341.8
2082295.1284.9–301.3332.8317.8–340.4
2083295.4284.5–304.6333.1318.7–342.6
2084296285.1–304.4333317.8–342.7
2085296.6285–305332.6318.1–342.7
2086295.6284.8–303.6333.1318.9–342.3
2087295.3284.1–303.4332.6318–343.2
2088295.9284.5–305.5334.5319.5–343.1
2089295.6285–304.5333.6319–342.6
2090295.7285.8–304.6333.3319.6–343.3
2091297285–304.9334.5318.2–343.9
2092296.8286–305.7335.1319.7–343.6
2093296.3285.6–305.3333.9320–344.9
2094296.4285.8–305335.6320.4–342.8
2095297.9285.6–304.9335.4319.7–343
2096296285.9–307.5334.3319.4–346.1
2097296.5284.8–303.4334.2319.5–343.3
2098296.6286–307.3334.9319.4–343.4
2099297284.6–305.4334.4319.4–344.6
2100297.4286.5–305.2334.7318.7–343.3

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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