Ecuador vs Guatemala

Ecuador vs Guatemala: Tropical nights

Tropical nights in 2014: 192 nights in Ecuador and 171.5 nights in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ecuador, by 20.5 nights, or 1.12 times that in Guatemala.

nights a year · CMIP6

Ecuador vs Guatemala: Tropical nightsTropical nights in 2014: 192 nights in Ecuador and 171.5 nights in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ecuador, by 20.5 nights, or 1.12 times that in Guatemala.
EcuadorGuatemalaCMIP6 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 Ecuador at 223.3 nights and Guatemala at 230.9 nights in 2100.

Every year

nights a year · CMIP6

YearEcuadorGuatemala
2014192171.5
2013192.7175.4
2012195.6171.8
2011193.5173.8
2010191.9171.4
2009190.7169.7
2008190.2167.8
2007188.3167.6
2006186167.2
2005187.4169.2
2004190167.4
2003188.3165.8
2002187.2165.7
2001189165.3
2000185.3163.6
1999181.4162
1998182.7162.1
1997182.4160.7
1996176.2157.9
1995174.9153.5
1994175.8155
1993170.8153.5
1992166.2151.7
1991179.8158.2
1990184.5161.9
1989178.8157.5
1988173.9154.2
1987177.8154.7
1986177.2153.1
1985172150.7
1984172.1150.3
1983166.8148.1
1982170.8151.3
1981177.4156.7
1980173.2152.3
1979172.1153
1978172.3149.5
1977172150.6
1976170151.6
1975163.9147.4
1974169.4150.2
1973173.3149.6
1972169.5148.2
1971167.5145.5
1970169.8145.4
1969167.4146.8
1968168.5146.7
1967159.5142.7
1966162.2145.9
1965163.3143.3
1964161.2143
1963151.1144.6
1962168.6149.5
1961169.5149.8
1960172.4151.4
1959167.3147.4
1958170.7150.5
1957171.4151.1
1956164148.2
1955169152.5
1954169.5150.4
1953169.6149.3
1952170.3150.3
1951171.7151.8
1950169.5148.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEcuadorGuatemala
2015193.3172.3–205.7177158.4–194.6
2016192.7172.2–203.6178.5161.5–195.5
2017195.3178.7–206.8182.8166.6–194.9
2018194.8178–206.5180.2165–196.4
2019193.3173.9–207.6181.7159.3–199.5
2020196.2179.1–208184.1161.8–198.6
2021198.7183.8–209184.4168.1–201.1
2022200.5181.4–209.9184.6165.7–198.4
2023198.3180.6–210.1186.3171.1–207
2024201.5181.4–210.7187.1169.9–207.3
2025199.9180–212187.4169.7–205.6
2026200.2180.5–211.7190.9167.9–211
2027199.8181.7–210.8188.4171.9–210.9
2028203.4187–212.4191.3175.8–208.5
2029204.6189.9–213192.7175.6–208.8
2030200.4183–212.8191173.3–207.9
2031204.9187.3–214.1193.6175.3–211.4
2032205.8191.8–216.5196.4178.7–214.8
2033203.3184.3–213.1193.3174.6–208.5
2034203.3189.6–218.3193.5176.2–214.4
2035204.3187.8–214.4193.4177.7–212.8
2036204.8189.9–214.6194.4180.5–212.8
2037207.9195.6–216.5199.1180–216.2
2038208.5195.8–216.1202.6184.8–216.7
2039206.5190.8–217.1199181.6–217.6
2040208.7193.7–219.1200.3182.9–217.9
2041208.8194.8–218.1200.7182.1–218.2
2042208.6192.5–219.7201.6180.3–222.1
2043207.2192.5–217.3201.7182.3–226.4
2044207190.4–220.2200.8184.9–222.3
2045209.7196–219203.6188.7–225.1
2046213.1196.1–221.1204.5183.3–227.5
2047211.9198.3–219.3207.5190.3–227.5
2048214.1200.7–222.9208.2188.9–229.4
2049212.8200–221210.1188.7–227.4
2050211.6197.6–222.2211.4188–230.7
2051213.8197.8–221.4208.1192.7–229.2
2052213.3202.2–222.7207.7193–227.9
2053212.5198.8–221.7209.8186.4–233.2
2054213.5201–224.3209.5194.7–233.2
2055213.9203–224.9212.4196.2–231.9
2056215.6199.8–223.9210.9193.3–233.1
2057214.5198.6–224213.3193.7–232.4
2058215.1199.9–225.9211.7192.3–238.1
2059217.2200.1–225.2214.5190.4–237.4
2060217.1204.7–226.8217.4196.4–237.3
2061215.6201.9–225.8213.9193.7–237.1
2062216.8201.4–226.9216.3194–237.3
2063217202.6–226.3217.2197–240.8
2064216.7203–225214.5196.1–236.1
2065217.7204.7–227217.3195.2–238.2
2066217.2205.6–227.3217.9195.2–240
2067217.4201.5–226.7216.4194.1–241.1
2068218.9203.9–228.3221200.2–243.4
2069216.8201.7–228219.9200.5–241.9
2070216.8204.3–228.3219.6199.9–242.6
2071219.5205.5–228.7222.5203.4–243
2072220208.3–229225.6200.4–247.6
2073219.5208.1–230.7224.4199.9–248.3
2074218.4202.8–228222.5202.2–245.9
2075218.8203.6–227.8220.2198.7–242.6
2076220.7207.7–229.9222.9195.4–247.7
2077220.7206.9–230.5225.2198.3–245.9
2078220207.5–231225.4197.8–245.9
2079220.4205.4–229.2223.4199.3–248.2
2080220.2204.8–230.7223.4201–250.7
2081220.2205.5–230.9224202.5–246.6
2082220.1207.8–229.2224.8201.3–245.9
2083221.5208.5–232.9225202.3–250.5
2084222.3207.1–232.6227.9204.9–249.9
2085222.4208.4–234.3227.7199.2–251.3
2086219.9207.1–232.4224.9202.3–249.6
2087220.9206.1–231.9227.1197.8–249.7
2088221.7206.1–234.8230.6207.4–255.5
2089221.3206.9–232.8229.7207.4–251.4
2090221.6208.8–234.3228.2210–253.4
2091223.8207.5–233.5231.4206.6–255.4
2092222.7209.7–234.9230.1207.4–253.4
2093221.7208.7–235.5226.7206–255.5
2094223209.9–234.4227.3204.4–251.7
2095223.9209.9–235.4231.1207.7–255.5
2096221.9209.7–237.3229.9206.3–255.5
2097221.6208.4–232.3226.7208.6–249.5
2098222.1210.2–238.2231.1202.9–259.1
2099222.2207.1–234.4230.2203.1–256.5
2100223.3209.1–235.3230.9208.9–255.1

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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