Colombia vs Philippines

Colombia vs Philippines: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 51.6 nights, or 1.18 times that in Colombia.

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nights a year · CMIP6

Colombia vs Philippines: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 51.6 nights, or 1.18 times that in Colombia.
ColombiaPhilippinesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Philippines 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 Philippines at 351.3 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaPhilippines
2014279.9331.5
2013279.8330.9
2012280.7331.1
2011280329.8
2010279.1330.6
2009279.3329
2008278.4327.5
2007277.3327.8
2006277.5328.7
2005277.7329.7
2004278.2329.4
2003277.5327.1
2002277.3328.9
2001278327.8
2000276.2326.8
1999274.6327.5
1998275.2326.5
1997274.4325.4
1996271.2324.6
1995271.3324.2
1994270.4321.5
1993268319.5
1992264.7318.4
1991273.9324.1
1990275.6323.5
1989271.9322.5
1988270.3324
1987271.8323.1
1986271.4322.1
1985268.4321.4
1984268.2321.7
1983265.1319.4
1982269.2320.5
1981272.1320.4
1980270.2322.7
1979269.3321.2
1978268.3320.6
1977269.6319.8
1976266.1319.6
1975261.6319.6
1974266.6320
1973269.9319.4
1972266.6318.9
1971265.7318.8
1970265.4319
1969266318.7
1968264.6317.2
1967261.7317.4
1966263.7318.8
1965263.2317.2
1964260.3314.9
1963254.8317.2
1962266.7318.6
1961267319.3
1960268.6318.6
1959265.5320.5
1958268321.8
1957267.4319.4
1956263.3320
1955267.7319.3
1954267.2317.7
1953267.9320
1952268.1319
1951267.2319.8
1950266.5320.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaPhilippines
2015280.4265.9–286.4333319.8–339.5
2016279.9267.9–285.6334.2322.8–340.7
2017281.7270.6–286.3333.4319.7–339.8
2018281.5271.8–286.3333.2320.1–340.1
2019281.1269.5–286.9334.1323.4–341.2
2020282.1270.6–287.9334.6322.6–341.8
2021283.2273.9–287.8335.6323.3–341.1
2022283.7273.6–288.5335.7323.3–342.1
2023282.6274.2–288.8336.7324.8–343.2
2024284.7274.7–289.8337.2325.7–343.9
2025283.5273.3–289.7336.3326.2–342.8
2026283.4272.7–289.7336.5322.9–343
2027283.9273.4–289.2336.2325.7–342.3
2028285275.1–290.7337.1325.5–343.8
2029285.8276–290.3338.1327.2–344.6
2030284.2273.4–289.8337.7326.2–344.4
2031285.8274.8–291.2337.1325.6–343.8
2032286.7278.3–292.6339.4329.5–346.1
2033285.7274.7–290.3339.7329.6–345.5
2034285275.8–292.8338.8328.8–345
2035285.9277.3–292338.6327.5–346.4
2036286276.9–291.6339.6327.8–346.9
2037287.5279.3–291.9339.8329.1–345.5
2038288279.7–292.4341.9330.7–347.7
2039287.6278.8–292.7341.2330.4–346.9
2040287.6279.3–294.5340.4328.1–347.6
2041288.2279.9–292.7341.1329.1–346.7
2042288.2278.3–295342331.4–347.7
2043287.7277.7–293.4341.3329–348.1
2044287.8278.5–295.1342.8329.9–349.8
2045288.8280.5–293.9343.4333.8–348.7
2046290.4281–295.5342.7330.2–348.7
2047289.9280.6–294.6343.2331.7–350.6
2048290.7281.4–296.8343.3332.7–350.6
2049290.9282–295.3343.2332.5–349.5
2050290.1280.8–296344.3332.6–349.9
2051290.6280.9–295.7344.4334.9–350.8
2052290.9281.9–296.7344.1333.5–350.9
2053290.5280.8–296.3344.3333.6–350.3
2054290.8281.3–297.2343.4332–349.9
2055291.1282.6–298344.3334.4–350.5
2056291.5281.5–298.6345334.6–352.6
2057291.5281.2–297.3345.5335.1–351.5
2058291.8281.7–298.9345.8334.3–351.3
2059292.8282–299.2345.5333.7–351.6
2060293.2283–300.1346.8335.5–353.5
2061292.2281.9–298.7345.9335–351.8
2062292.6282.4–299.7346335.2–353.5
2063293.6282.3–298.6346.6336.2–352.8
2064292.7282.9–299.1346.9335.3–353
2065293.8283.6–299.4346.1335.9–351.9
2066293.1283.4–299.8346.5335.4–352.4
2067292.9281.8–299.6346.1335.4–352
2068294.2282.5–300.6347.1335.1–354.1
2069292.9282.4–300347333.8–353.6
2070292.9282.8–300.8346.7336.1–352.7
2071294.2282.8–301.5347.6336.2–353.9
2072294.9285.1–301.9347334.4–353.8
2073294.9285.5–302.2348.4336.7–355
2074293.9283.3–300.3348.6337–354.9
2075294.1283.2–300.6347.9337.2–354
2076294.9284.6–302348.4337–355.1
2077295.3284.3–301.9348.7337–354.8
2078294.4285–302348.4338.2–354.7
2079294.8283.7–301.8348.8337.6–354.7
2080295.1283.4–302.8349.1338.4–355.9
2081295.1284.8–302.6348.8336.9–355.1
2082295.1284.9–301.3349.6338–354.9
2083295.4284.5–304.6349.9337.9–356.1
2084296285.1–304.4349.5336.7–356.4
2085296.6285–305349.1338.2–355.4
2086295.6284.8–303.6349.4337.5–354.9
2087295.3284.1–303.4349.7338.7–356
2088295.9284.5–305.5349.9338.9–356.1
2089295.6285–304.5350.2339.8–355.2
2090295.7285.8–304.6350.1339.7–355.9
2091297285–304.9349.5339.5–356.3
2092296.8286–305.7350.5339.3–356.1
2093296.3285.6–305.3350.4337.9–356.5
2094296.4285.8–305350.5338.4–355.9
2095297.9285.6–304.9350.5338.3–355.7
2096296285.9–307.5351.1339–358
2097296.5284.8–303.4350.2339.3–355.6
2098296.6286–307.3350.3337.4–355.2
2099297284.6–305.4350.6339.3–356.4
2100297.4286.5–305.2351.3340.2–356.3

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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