Bolivia vs Ecuador

Bolivia vs Ecuador: Tropical nights

Tropical nights in 2014: 179.5 nights in Bolivia and 192 nights in Ecuador, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ecuador, by 12.5 nights, or 1.07 times that in Bolivia.

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nights a year · CMIP6

Bolivia vs Ecuador: Tropical nightsTropical nights in 2014: 179.5 nights in Bolivia and 192 nights in Ecuador, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ecuador, by 12.5 nights, or 1.07 times that in Bolivia.
BoliviaEcuadorCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ecuador 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 Ecuador at 223.3 nights in 2100.

Every year

nights a year · CMIP6

YearBoliviaEcuador
2014179.5192
2013176.3192.7
2012177195.6
2011177.2193.5
2010176.7191.9
2009175.9190.7
2008174.1190.2
2007169188.3
2006169.8186
2005170.5187.4
2004175.5190
2003170.6188.3
2002173.3187.2
2001172.9189
2000169185.3
1999167.3181.4
1998170.7182.7
1997167.7182.4
1996163.3176.2
1995164.4174.9
1994162.7175.8
1993160.4170.8
1992155.4166.2
1991169.7179.8
1990172184.5
1989164.4178.8
1988161.5173.9
1987162.5177.8
1986163.8177.2
1985157.8172
1984159.8172.1
1983156.8166.8
1982164.2170.8
1981166.5177.4
1980162.2173.2
1979162.7172.1
1978161.1172.3
1977161172
1976160.1170
1975155.5163.9
1974160.5169.4
1973160.5173.3
1972158.8169.5
1971156.7167.5
1970155.1169.8
1969155.7167.4
1968155.9168.5
1967153.3159.5
1966156.7162.2
1965154.2163.3
1964150.7161.2
1963148.4151.1
1962157.9168.6
1961158.7169.5
1960160.3172.4
1959159167.3
1958157.5170.7
1957159.3171.4
1956154.5164
1955160.3169
1954159.7169.5
1953157.8169.6
1952159.1170.3
1951157.6171.7
1950158.6169.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBoliviaEcuador
2015177.7162.4–194.8193.3172.3–205.7
2016177.1155.9–190.7192.7172.2–203.6
2017179.6164.6–190.9195.3178.7–206.8
2018177.8162.1–196.3194.8178–206.5
2019180.1164.5–199.9193.3173.9–207.6
2020180.5162–200.6196.2179.1–208
2021185.6169.2–197.3198.7183.8–209
2022184.7165.7–200.5200.5181.4–209.9
2023181.3166.6–196.7198.3180.6–210.1
2024187.1168.2–202.1201.5181.4–210.7
2025183.5168.8–195.7199.9180–212
2026182.5164.8–198.1200.2180.5–211.7
2027182.7165–201.6199.8181.7–210.8
2028186.3169.6–200.3203.4187–212.4
2029192.5175.6–205.4204.6189.9–213
2030185.5161.7–204.2200.4183–212.8
2031189.2166.2–205.3204.9187.3–214.1
2032189.7173.8–209.6205.8191.8–216.5
2033188.2167.7–204.1203.3184.3–213.1
2034188172.2–207.8203.3189.6–218.3
2035186.7169.1–206.1204.3187.8–214.4
2036190.5173.5–205.2204.8189.9–214.6
2037195.3181.4–208.5207.9195.6–216.5
2038189.2174.7–207.8208.5195.8–216.1
2039192.7175.7–205.5206.5190.8–217.1
2040192.3176.8–204.2208.7193.7–219.1
2041193.9179–209208.8194.8–218.1
2042191.3171.9–207.6208.6192.5–219.7
2043191.2174.4–209.9207.2192.5–217.3
2044194.5179.1–209.4207190.4–220.2
2045194.4180.2–209209.7196–219
2046194.8181.4–213213.1196.1–221.1
2047196.5181.4–213.3211.9198.3–219.3
2048200.2184.6–212.8214.1200.7–222.9
2049199.8181.3–214.4212.8200–221
2050196.3173.9–210.9211.6197.6–222.2
2051198.5184.2–213.3213.8197.8–221.4
2052200.6185.7–214.8213.3202.2–222.7
2053198182.1–211212.5198.8–221.7
2054195.9179.8–211213.5201–224.3
2055201.2187.1–215213.9203–224.9
2056201.3181.5–216.1215.6199.8–223.9
2057200.6184.3–214.4214.5198.6–224
2058200.8182.8–216.5215.1199.9–225.9
2059203.2186.1–215.8217.2200.1–225.2
2060203.4186.2–219.7217.1204.7–226.8
2061197.9184–216.3215.6201.9–225.8
2062201.4186.2–219.1216.8201.4–226.9
2063201.5184.9–217217202.6–226.3
2064200.5184.6–216.1216.7203–225
2065204.9187.3–218.4217.7204.7–227
2066203.3186.8–218.1217.2205.6–227.3
2067203.6187.7–215.6217.4201.5–226.7
2068204.4188–218218.9203.9–228.3
2069203.8184.5–219216.8201.7–228
2070205.1188.3–221.4216.8204.3–228.3
2071203186.9–214.6219.5205.5–228.7
2072206186.6–221.5220208.3–229
2073206.5193.2–220.7219.5208.1–230.7
2074204.5184.1–219.5218.4202.8–228
2075203.8185.8–217.9218.8203.6–227.8
2076206.5190.1–220.4220.7207.7–229.9
2077209.1185.4–221.4220.7206.9–230.5
2078208.1192.7–222.9220207.5–231
2079204.7186.2–218.6220.4205.4–229.2
2080208.7192.4–221.1220.2204.8–230.7
2081208.1190.7–221.1220.2205.5–230.9
2082208.2189.7–220.1220.1207.8–229.2
2083209.3192.8–222.6221.5208.5–232.9
2084208.2193.3–223.1222.3207.1–232.6
2085210.4194–225222.4208.4–234.3
2086210.4189.7–225.4219.9207.1–232.4
2087207.9193.8–222220.9206.1–231.9
2088210.3193.4–225.2221.7206.1–234.8
2089208.2191.3–222.9221.3206.9–232.8
2090209.7195.5–225.2221.6208.8–234.3
2091209.7192.5–227.1223.8207.5–233.5
2092209.8192.1–223.9222.7209.7–234.9
2093209.4195.7–222.1221.7208.7–235.5
2094208.9194.6–222.7223209.9–234.4
2095210.3191.2–225.3223.9209.9–235.4
2096211.6193.9–225221.9209.7–237.3
2097208.6189.8–220.3221.6208.4–232.3
2098211.7196.2–226.5222.1210.2–238.2
2099211.2195.3–224222.2207.1–234.4
2100210.8195.8–226.8223.3209.1–235.3

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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