厄瓜多尔与墨西哥对比

厄瓜多尔与墨西哥:热带夜

2014 年热带夜:厄瓜多尔为 192 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年厄瓜多尔的数值较高,高出 88.3 夜,是墨西哥的 1.85 倍。

每年夜数 · CMIP6

厄瓜多尔与墨西哥:热带夜2014 年热带夜:厄瓜多尔为 192 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年厄瓜多尔的数值较高,高出 88.3 夜,是墨西哥的 1.85 倍。
厄瓜多尔墨西哥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,墨西哥为 142.8 夜。

逐年数据

每年夜数 · CMIP6

年份厄瓜多尔墨西哥
2014192103.7
2013192.7103.9
2012195.6102.8
2011193.5102.9
2010191.9101.5
2009190.7101.8
2008190.2100.1
2007188.399.1
200618699.8
2005187.499.5
200419099.4
2003188.398.3
2002187.299.1
200118998.7
2000185.397.9
1999181.496.6
1998182.795.8
1997182.495.9
1996176.293.8
1995174.992.7
1994175.890.7
1993170.889
1992166.288.5
1991179.893.4
1990184.594.9
1989178.893
1988173.992.1
1987177.892
1986177.290.2
198517290
1984172.188
1983166.886.7
1982170.888.7
1981177.491.5
1980173.290.1
1979172.190.8
1978172.389
197717289
197617089.1
1975163.986.8
1974169.487.9
1973173.388.6
1972169.587.7
1971167.586.8
1970169.886.1
1969167.487.5
1968168.587.1
1967159.586.7
1966162.286.4
1965163.384.9
1964161.284.7
1963151.187.1
1962168.688
1961169.589.5
1960172.489.7
1959167.389.6
1958170.789.1
1957171.489
195616488.5
195516988.2
1954169.588.4
1953169.688.6
1952170.387.8
1951171.789.4
1950169.588.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份厄瓜多尔墨西哥
2015193.3172.3–205.7106.192.9–118.4
2016192.7172.2–203.6107.695–120
2017195.3178.7–206.8108.696.3–119.7
2018194.8178–206.510997.1–120.4
2019193.3173.9–207.6110.396.4–123
2020196.2179.1–208109.696.8–121.8
2021198.7183.8–209111.296.9–124.1
2022200.5181.4–209.9109.796–121.7
2023198.3180.6–210.1111.898.6–125.3
2024201.5181.4–210.7112.298.2–126.2
2025199.9180–21211298.8–125.8
2026200.2180.5–211.7113.999.5–126.4
2027199.8181.7–210.8112.999.5–128.3
2028203.4187–212.4115.2101.9–127.9
2029204.6189.9–213115.6101.9–127.9
2030200.4183–212.8115.9101.7–128.4
2031204.9187.3–214.1116.1100.9–129.9
2032205.8191.8–216.5116.1102.5–129.1
2033203.3184.3–213.1117.5102.5–131.1
2034203.3189.6–218.3117.2104.1–130.3
2035204.3187.8–214.4116.4103.1–130.3
2036204.8189.9–214.6117.8105.1–131
2037207.9195.6–216.5118.6104.3–131.7
2038208.5195.8–216.1121107.5–133.4
2039206.5190.8–217.1121.3107–135.6
2040208.7193.7–219.1121.9108.1–135.1
2041208.8194.8–218.1121.3105.3–134.6
2042208.6192.5–219.7122.7107.7–137.1
2043207.2192.5–217.3122.4108.1–137.5
2044207190.4–220.2121.9108–135.6
2045209.7196–219123.1108.8–139.2
2046213.1196.1–221.1123.8109.9–139.4
2047211.9198.3–219.3125.6111.9–139.4
2048214.1200.7–222.9126.3113–140.3
2049212.8200–221127111.2–140.8
2050211.6197.6–222.2128.1112.6–142.5
2051213.8197.8–221.4127.2113.4–140.8
2052213.3202.2–222.7126.2112.5–141.1
2053212.5198.8–221.7128.4111.5–142.7
2054213.5201–224.3128.1113.1–142.3
2055213.9203–224.9129114.4–144.7
2056215.6199.8–223.9129.5114.3–143.8
2057214.5198.6–224130.3113.5–145.9
2058215.1199.9–225.9128.8114.1–144.5
2059217.2200.1–225.2129.5114.5–144.5
2060217.1204.7–226.8131.4115.5–146.5
2061215.6201.9–225.8131.3118.4–146.8
2062216.8201.4–226.9130.8115.1–146.3
2063217202.6–226.3131.2115.6–147.9
2064216.7203–225132.2116.5–147.8
2065217.7204.7–227133.1115.8–148.6
2066217.2205.6–227.3133.3117.2–149.4
2067217.4201.5–226.7133.3117–150.3
2068218.9203.9–228.3134.6117.4–150.5
2069216.8201.7–228134.4117.8–150.9
2070216.8204.3–228.3134.2116.7–151.8
2071219.5205.5–228.7136.3120.8–152.7
2072220208.3–229137.2119.9–153.1
2073219.5208.1–230.7136.1119.1–153.6
2074218.4202.8–228136119.7–152.2
2075218.8203.6–227.8135.2118.5–151.8
2076220.7207.7–229.9136.3117.4–154.7
2077220.7206.9–230.5136.8119.6–152.8
2078220207.5–231137.1118.3–154.2
2079220.4205.4–229.2138.1121.3–157.1
2080220.2204.8–230.7137.6120.5–157.9
2081220.2205.5–230.9137.8120.7–154.7
2082220.1207.8–229.2138.7121.6–155.2
2083221.5208.5–232.9139.2119.3–158.8
2084222.3207.1–232.6140.3123.4–157.5
2085222.4208.4–234.3139.2120.9–157.2
2086219.9207.1–232.4139.8121–157.8
2087220.9206.1–231.9139.5121.5–157.4
2088221.7206.1–234.8141121.8–159.9
2089221.3206.9–232.8140.4121.7–158.9
2090221.6208.8–234.3141.2123–160.7
2091223.8207.5–233.5141.8123–161.6
2092222.7209.7–234.9141.3122.5–159.3
2093221.7208.7–235.5141.4124.3–161
2094223209.9–234.4142123.3–159.6
2095223.9209.9–235.4143.5124–160.7
2096221.9209.7–237.3142.3125–161.3
2097221.6208.4–232.3141.2123.2–160
2098222.1210.2–238.2142.2122.5–162
2099222.2207.1–234.4141.8122.4–160.7
2100223.3209.1–235.3142.8124.3–160.8

分别查看各国

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

厄瓜多尔与墨西哥对比

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