Bolivia vs Colombia

Bolivia vs Colombia: Tropical nights

Tropical nights in 2014: 179.5 nights in Bolivia and 279.9 nights in Colombia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 100.4 nights, or 1.56 times that in Bolivia.

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nights a year · CMIP6

Bolivia vs Colombia: Tropical nightsTropical nights in 2014: 179.5 nights in Bolivia and 279.9 nights in Colombia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 100.4 nights, or 1.56 times that in Bolivia.
BoliviaColombiaCMIP6 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 Bolivia at 210.8 nights and Colombia at 297.4 nights in 2100.

Every year

nights a year · CMIP6

YearBoliviaColombia
2014179.5279.9
2013176.3279.8
2012177280.7
2011177.2280
2010176.7279.1
2009175.9279.3
2008174.1278.4
2007169277.3
2006169.8277.5
2005170.5277.7
2004175.5278.2
2003170.6277.5
2002173.3277.3
2001172.9278
2000169276.2
1999167.3274.6
1998170.7275.2
1997167.7274.4
1996163.3271.2
1995164.4271.3
1994162.7270.4
1993160.4268
1992155.4264.7
1991169.7273.9
1990172275.6
1989164.4271.9
1988161.5270.3
1987162.5271.8
1986163.8271.4
1985157.8268.4
1984159.8268.2
1983156.8265.1
1982164.2269.2
1981166.5272.1
1980162.2270.2
1979162.7269.3
1978161.1268.3
1977161269.6
1976160.1266.1
1975155.5261.6
1974160.5266.6
1973160.5269.9
1972158.8266.6
1971156.7265.7
1970155.1265.4
1969155.7266
1968155.9264.6
1967153.3261.7
1966156.7263.7
1965154.2263.2
1964150.7260.3
1963148.4254.8
1962157.9266.7
1961158.7267
1960160.3268.6
1959159265.5
1958157.5268
1957159.3267.4
1956154.5263.3
1955160.3267.7
1954159.7267.2
1953157.8267.9
1952159.1268.1
1951157.6267.2
1950158.6266.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBoliviaColombia
2015177.7162.4–194.8280.4265.9–286.4
2016177.1155.9–190.7279.9267.9–285.6
2017179.6164.6–190.9281.7270.6–286.3
2018177.8162.1–196.3281.5271.8–286.3
2019180.1164.5–199.9281.1269.5–286.9
2020180.5162–200.6282.1270.6–287.9
2021185.6169.2–197.3283.2273.9–287.8
2022184.7165.7–200.5283.7273.6–288.5
2023181.3166.6–196.7282.6274.2–288.8
2024187.1168.2–202.1284.7274.7–289.8
2025183.5168.8–195.7283.5273.3–289.7
2026182.5164.8–198.1283.4272.7–289.7
2027182.7165–201.6283.9273.4–289.2
2028186.3169.6–200.3285275.1–290.7
2029192.5175.6–205.4285.8276–290.3
2030185.5161.7–204.2284.2273.4–289.8
2031189.2166.2–205.3285.8274.8–291.2
2032189.7173.8–209.6286.7278.3–292.6
2033188.2167.7–204.1285.7274.7–290.3
2034188172.2–207.8285275.8–292.8
2035186.7169.1–206.1285.9277.3–292
2036190.5173.5–205.2286276.9–291.6
2037195.3181.4–208.5287.5279.3–291.9
2038189.2174.7–207.8288279.7–292.4
2039192.7175.7–205.5287.6278.8–292.7
2040192.3176.8–204.2287.6279.3–294.5
2041193.9179–209288.2279.9–292.7
2042191.3171.9–207.6288.2278.3–295
2043191.2174.4–209.9287.7277.7–293.4
2044194.5179.1–209.4287.8278.5–295.1
2045194.4180.2–209288.8280.5–293.9
2046194.8181.4–213290.4281–295.5
2047196.5181.4–213.3289.9280.6–294.6
2048200.2184.6–212.8290.7281.4–296.8
2049199.8181.3–214.4290.9282–295.3
2050196.3173.9–210.9290.1280.8–296
2051198.5184.2–213.3290.6280.9–295.7
2052200.6185.7–214.8290.9281.9–296.7
2053198182.1–211290.5280.8–296.3
2054195.9179.8–211290.8281.3–297.2
2055201.2187.1–215291.1282.6–298
2056201.3181.5–216.1291.5281.5–298.6
2057200.6184.3–214.4291.5281.2–297.3
2058200.8182.8–216.5291.8281.7–298.9
2059203.2186.1–215.8292.8282–299.2
2060203.4186.2–219.7293.2283–300.1
2061197.9184–216.3292.2281.9–298.7
2062201.4186.2–219.1292.6282.4–299.7
2063201.5184.9–217293.6282.3–298.6
2064200.5184.6–216.1292.7282.9–299.1
2065204.9187.3–218.4293.8283.6–299.4
2066203.3186.8–218.1293.1283.4–299.8
2067203.6187.7–215.6292.9281.8–299.6
2068204.4188–218294.2282.5–300.6
2069203.8184.5–219292.9282.4–300
2070205.1188.3–221.4292.9282.8–300.8
2071203186.9–214.6294.2282.8–301.5
2072206186.6–221.5294.9285.1–301.9
2073206.5193.2–220.7294.9285.5–302.2
2074204.5184.1–219.5293.9283.3–300.3
2075203.8185.8–217.9294.1283.2–300.6
2076206.5190.1–220.4294.9284.6–302
2077209.1185.4–221.4295.3284.3–301.9
2078208.1192.7–222.9294.4285–302
2079204.7186.2–218.6294.8283.7–301.8
2080208.7192.4–221.1295.1283.4–302.8
2081208.1190.7–221.1295.1284.8–302.6
2082208.2189.7–220.1295.1284.9–301.3
2083209.3192.8–222.6295.4284.5–304.6
2084208.2193.3–223.1296285.1–304.4
2085210.4194–225296.6285–305
2086210.4189.7–225.4295.6284.8–303.6
2087207.9193.8–222295.3284.1–303.4
2088210.3193.4–225.2295.9284.5–305.5
2089208.2191.3–222.9295.6285–304.5
2090209.7195.5–225.2295.7285.8–304.6
2091209.7192.5–227.1297285–304.9
2092209.8192.1–223.9296.8286–305.7
2093209.4195.7–222.1296.3285.6–305.3
2094208.9194.6–222.7296.4285.8–305
2095210.3191.2–225.3297.9285.6–304.9
2096211.6193.9–225296285.9–307.5
2097208.6189.8–220.3296.5284.8–303.4
2098211.7196.2–226.5296.6286–307.3
2099211.2195.3–224297284.6–305.4
2100210.8195.8–226.8297.4286.5–305.2

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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