Colombia vs Panama

Colombia vs Panama: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 325.8 nights in Panama, in the CMIP6 climate models’ median run. In 2014 the value was higher in Panama, by 45.9 nights, or 1.16 times that in Colombia.

nights a year · CMIP6

Colombia vs Panama: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 325.8 nights in Panama, in the CMIP6 climate models’ median run. In 2014 the value was higher in Panama, by 45.9 nights, or 1.16 times that in Colombia.
ColombiaPanamaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Panama 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 Panama at 346.5 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaPanama
2014279.9325.8
2013279.8326.8
2012280.7326.9
2011280326
2010279.1324.9
2009279.3325.2
2008278.4324.7
2007277.3324.4
2006277.5323.5
2005277.7324.3
2004278.2325.3
2003277.5323.5
2002277.3323.4
2001278323.8
2000276.2322.3
1999274.6321.5
1998275.2321.5
1997274.4321.2
1996271.2319.9
1995271.3318.7
1994270.4318.3
1993268316
1992264.7315.6
1991273.9320.4
1990275.6320.4
1989271.9319.2
1988270.3318.8
1987271.8318.9
1986271.4317.5
1985268.4315.8
1984268.2315.6
1983265.1314.8
1982269.2316.9
1981272.1317.9
1980270.2316.8
1979269.3316.1
1978268.3316.7
1977269.6317.4
1976266.1316.2
1975261.6314
1974266.6315.4
1973269.9316.8
1972266.6314.9
1971265.7314.7
1970265.4314.6
1969266313.5
1968264.6313.2
1967261.7310.8
1966263.7312.7
1965263.2313.1
1964260.3312.4
1963254.8311.9
1962266.7314.9
1961267315.4
1960268.6316.1
1959265.5315.5
1958268315.5
1957267.4315.3
1956263.3314.3
1955267.7314.9
1954267.2315.1
1953267.9314.6
1952268.1314.5
1951267.2315.2
1950266.5313.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaPanama
2015280.4265.9–286.4327.9317–333.8
2016279.9267.9–285.6326.8317.3–334.8
2017281.7270.6–286.3328.9318.4–333.4
2018281.5271.8–286.3329.3320.7–334.9
2019281.1269.5–286.9328.8318.7–334.8
2020282.1270.6–287.9330.1319.2–336.6
2021283.2273.9–287.8330.7321.4–335.4
2022283.7273.6–288.5331.8321.6–337.4
2023282.6274.2–288.8330.7321.1–337.7
2024284.7274.7–289.8331.6320.9–338
2025283.5273.3–289.7331.9320.8–339.1
2026283.4272.7–289.7332.3320.5–338.8
2027283.9273.4–289.2332.3320.4–338.1
2028285275.1–290.7333323.7–339.3
2029285.8276–290.3333.3323.3–340
2030284.2273.4–289.8333.1321.3–339.6
2031285.8274.8–291.2334323.2–340.9
2032286.7278.3–292.6334.8325.4–342.5
2033285.7274.7–290.3334.5324.1–339.7
2034285275.8–292.8333.4324.5–341.3
2035285.9277.3–292334.3324.1–340.5
2036286276.9–291.6334.8325.5–339.9
2037287.5279.3–291.9336.4327.1–341.4
2038288279.7–292.4336.7327.1–341.4
2039287.6278.8–292.7334.7326.4–341.9
2040287.6279.3–294.5336.7327.4–343.1
2041288.2279.9–292.7336.5327.2–342.3
2042288.2278.3–295337.8327.7–343.3
2043287.7277.7–293.4336.1327.1–343.7
2044287.8278.5–295.1336.9326.9–343.5
2045288.8280.5–293.9337.5327.8–342.5
2046290.4281–295.5339328–344.5
2047289.9280.6–294.6338.5329.6–344.9
2048290.7281.4–296.8339.8330.5–345.6
2049290.9282–295.3339.9330.3–344.4
2050290.1280.8–296339329.7–346.9
2051290.6280.9–295.7339.9329.1–345.7
2052290.9281.9–296.7340.1330.8–346.5
2053290.5280.8–296.3339.5329.7–346.6
2054290.8281.3–297.2339.9330.1–347.7
2055291.1282.6–298340.3330.8–347.9
2056291.5281.5–298.6340.7331.3–347.9
2057291.5281.2–297.3340.7329.9–346.7
2058291.8281.7–298.9340.7330.5–348.6
2059292.8282–299.2341.6332.1–348.5
2060293.2283–300.1342.9332–349.8
2061292.2281.9–298.7341.8331.7–348.7
2062292.6282.4–299.7341.5330.3–349.7
2063293.6282.3–298.6342.1331.7–350.1
2064292.7282.9–299.1342331.8–349.3
2065293.8283.6–299.4342.3332.7–350.6
2066293.1283.4–299.8342.3333–350.1
2067292.9281.8–299.6342.8331.6–349.5
2068294.2282.5–300.6343.4332.5–350.1
2069292.9282.4–300342.2332.7–350
2070292.9282.8–300.8342332.3–351.5
2071294.2282.8–301.5343.6332.3–350.7
2072294.9285.1–301.9343.8332.7–353.1
2073294.9285.5–302.2343.9333.5–353
2074293.9283.3–300.3344333.4–351.5
2075294.1283.2–300.6343.4332.7–350.2
2076294.9284.6–302343.7333.1–352.6
2077295.3284.3–301.9344.7334–351.9
2078294.4285–302345.4333.5–351.5
2079294.8283.7–301.8343.9333.2–352.4
2080295.1283.4–302.8344.3333.1–352.6
2081295.1284.8–302.6344.4333.5–351.7
2082295.1284.9–301.3345.3334.2–350.6
2083295.4284.5–304.6344.4334.5–353.4
2084296285.1–304.4345.5333.8–352.4
2085296.6285–305345.8334.5–353.7
2086295.6284.8–303.6344.6334.4–354.4
2087295.3284.1–303.4345.6334.9–351.8
2088295.9284.5–305.5345.3334.9–354.4
2089295.6285–304.5344.7334.5–353.9
2090295.7285.8–304.6345.6335.7–352.7
2091297285–304.9346.5334.3–353.4
2092296.8286–305.7345.6335.2–354.9
2093296.3285.6–305.3344.7335.8–354.6
2094296.4285.8–305345.6334.8–353.4
2095297.9285.6–304.9347.2334.9–353.6
2096296285.9–307.5346.4335.9–355.6
2097296.5284.8–303.4346335.1–353
2098296.6286–307.3346.2334.8–353.6
2099297284.6–305.4346.4334.3–353.9
2100297.4286.5–305.2346.5334.8–353.6

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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