厄瓜多尔与危地马拉对比

厄瓜多尔与危地马拉：热带夜

2014 年热带夜：厄瓜多尔为 192 夜，危地马拉为 171.5 夜（CMIP6 气候模型中位数模拟）。 2014 年厄瓜多尔的数值较高，高出 20.5 夜，是危地马拉的 1.12 倍。

在地图上查看其变化

每年夜数 · CMIP6

厄瓜多尔与危地马拉：热带夜2014 年热带夜：厄瓜多尔为 192 夜，危地马拉为 171.5 夜（CMIP6 气候模型中位数模拟）。 2014 年厄瓜多尔的数值较高，高出 20.5 夜，是危地马拉的 1.12 倍。
厄瓜多尔危地马拉CMIP6 模型中位数（SSP2-4.5，中间路径）模型第 10–90 百分位

数据解读

  • 自 1950 年以来，在两国都有数据的每一年，厄瓜多尔的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年厄瓜多尔为 223.3 夜，危地马拉为 230.9 夜。

逐年数据

每年夜数 · CMIP6

年份厄瓜多尔危地马拉
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 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份厄瓜多尔危地马拉
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

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须知

  • 一年中气温始终高于 20 °C 的夜晚数，取全国平均。
  • 来源：World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
  • 虚线为CMIP6 模型中位数（SSP2-4.5，中间路径），是一种情景而非预报；阴影带为其模型第 10–90 百分位。
  • 气候模型值为 CMIP6 各模型的中位数：2014 年及以前按历史排放模拟，此后按中间路径 SSP2-4.5 模拟；它们并非实测数据。

各图层如何运作、数据从何而来，以及它们无法告诉你什么： 历年各国数据

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