厄瓜多尔与洪都拉斯对比

厄瓜多尔与洪都拉斯：热带夜

2014 年热带夜：厄瓜多尔为 192 夜，洪都拉斯为 176.7 夜（CMIP6 气候模型中位数模拟）。 2014 年厄瓜多尔的数值较高，高出 15.3 夜，是洪都拉斯的 1.09 倍。

在地图上查看其变化

每年夜数 · CMIP6

厄瓜多尔与洪都拉斯：热带夜2014 年热带夜：厄瓜多尔为 192 夜，洪都拉斯为 176.7 夜（CMIP6 气候模型中位数模拟）。 2014 年厄瓜多尔的数值较高，高出 15.3 夜，是洪都拉斯的 1.09 倍。
厄瓜多尔洪都拉斯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，洪都拉斯为 279.1 夜。

逐年数据

每年夜数 · CMIP6

年份厄瓜多尔洪都拉斯
2014192176.7
2013192.7181.1
2012195.6181.4
2011193.5180.5
2010191.9176.9
2009190.7174.4
2008190.2170.5
2007188.3171.8
2006186171
2005187.4171.6
2004190174.2
2003188.3170.2
2002187.2169.1
2001189168.2
2000185.3164.8
1999181.4162.2
1998182.7163
1997182.4160.4
1996176.2154.7
1995174.9152.5
1994175.8151.9
1993170.8149
1992166.2145
1991179.8156.7
1990184.5162.1
1989178.8153.8
1988173.9151.1
1987177.8151.9
1986177.2151.3
1985172146.1
1984172.1147.5
1983166.8143.7
1982170.8148.4
1981177.4150.9
1980173.2147.8
1979172.1148.9
1978172.3146
1977172148.6
1976170145.5
1975163.9141.8
1974169.4146.8
1973173.3145.1
1972169.5140.4
1971167.5141.1
1970169.8140.6
1969167.4142.2
1968168.5141.9
1967159.5138.4
1966162.2139.9
1965163.3138.1
1964161.2138.4
1963151.1136.8
1962168.6144.2
1961169.5145.5
1960172.4146.1
1959167.3143.3
1958170.7147.6
1957171.4144.5
1956164143.8
1955169146.3
1954169.5144
1953169.6143.2
1952170.3143.6
1951171.7145.5
1950169.5143.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份厄瓜多尔洪都拉斯
2015193.3172.3–205.7186.4151.3–215.3
2016192.7172.2–203.6185.7154.8–211.9
2017195.3178.7–206.8194.4164.9–215.2
2018194.8178–206.5190.6168.8–218.5
2019193.3173.9–207.6189161–221
2020196.2179.1–208196.8164.4–223
2021198.7183.8–209199.3176.3–226.8
2022200.5181.4–209.9202.9173–227.6
2023198.3180.6–210.1198.1175.2–230.1
2024201.5181.4–210.7204.7177.9–233.2
2025199.9180–212202.7173.9–230.8
2026200.2180.5–211.7206.8174–235.2
2027199.8181.7–210.8206.5177.9–235.7
2028203.4187–212.4211.3184–238.7
2029204.6189.9–213210.3185.4–244.5
2030200.4183–212.8208.9176.9–241.7
2031204.9187.3–214.1217.3187.1–246.4
2032205.8191.8–216.5218.9194.5–247.9
2033203.3184.3–213.1213.3188.2–239.7
2034203.3189.6–218.3211.3186.1–248.7
2035204.3187.8–214.4215.3184.2–248.2
2036204.8189.9–214.6215.5194.1–242.5
2037207.9195.6–216.5226.4202.4–251.6
2038208.5195.8–216.1228.9198.7–256.2
2039206.5190.8–217.1224.4196.6–256.2
2040208.7193.7–219.1225.1201–258
2041208.8194.8–218.1225.9203–251.8
2042208.6192.5–219.7229.3200.2–262.8
2043207.2192.5–217.3224.4199–262.5
2044207190.4–220.2224.8201.2–262.7
2045209.7196–219231206.1–262.3
2046213.1196.1–221.1236.9204.5–267.7
2047211.9198.3–219.3236.3213.3–269.3
2048214.1200.7–222.9241.2216.7–268.9
2049212.8200–221244.8213.5–270.7
2050211.6197.6–222.2241.1207.2–277.8
2051213.8197.8–221.4239.9210.5–270.2
2052213.3202.2–222.7245.1215.7–271.2
2053212.5198.8–221.7240.8211.7–277.5
2054213.5201–224.3243.9220.4–286.6
2055213.9203–224.9248.1220.1–282.1
2056215.6199.8–223.9245.6213.1–279
2057214.5198.6–224249.4214.2–279.1
2058215.1199.9–225.9248.4217.2–289.1
2059217.2200.1–225.2252.6220.5–283.1
2060217.1204.7–226.8256.8225.2–289.4
2061215.6201.9–225.8254.5220.4–285.9
2062216.8201.4–226.9252.8217.4–291.1
2063217202.6–226.3258.7226.2–288
2064216.7203–225252.1224.1–285.7
2065217.7204.7–227258.1226.9–288.9
2066217.2205.6–227.3256.4227.7–287.4
2067217.4201.5–226.7258.3228.2–294.9
2068218.9203.9–228.3264.6231.2–295
2069216.8201.7–228258.1229.3–292
2070216.8204.3–228.3256.9225.3–297.9
2071219.5205.5–228.7261.9231–292.9
2072220208.3–229267.3235.2–300.4
2073219.5208.1–230.7268.1233.7–304.7
2074218.4202.8–228263.7234.2–295.9
2075218.8203.6–227.8262.1229.5–295.4
2076220.7207.7–229.9266.8231.8–298.5
2077220.7206.9–230.5268.6232.1–298.8
2078220207.5–231270.1236.8–299.6
2079220.4205.4–229.2265.3229.5–304.2
2080220.2204.8–230.7268.4230.2–304.2
2081220.2205.5–230.9268231.9–300.8
2082220.1207.8–229.2267.4230.2–301.8
2083221.5208.5–232.9268.3236.2–307.4
2084222.3207.1–232.6273.9235.2–307.1
2085222.4208.4–234.3276.4234.2–305.9
2086219.9207.1–232.4267.9238.8–305.2
2087220.9206.1–231.9270.4233.7–301.8
2088221.7206.1–234.8277239.9–310.2
2089221.3206.9–232.8275.4246–309.8
2090221.6208.8–234.3275.3244.1–307
2091223.8207.5–233.5281.9240.6–310.6
2092222.7209.7–234.9277.1245.6–312.3
2093221.7208.7–235.5272.8244.2–311.6
2094223209.9–234.4274.9245.2–308.4
2095223.9209.9–235.4280.8244.6–313.5
2096221.9209.7–237.3275.2245.8–313.5
2097221.6208.4–232.3276247.2–305.4
2098222.1210.2–238.2278.9238.9–313.4
2099222.2207.1–234.4280.8240.6–312.8
2100223.3209.1–235.3279.1248.3–309.6

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

厄瓜多尔与洪都拉斯对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境