洪都拉斯与秘鲁对比

洪都拉斯与秘鲁：热带夜

2014 年热带夜：洪都拉斯为 176.7 夜，秘鲁为 164.5 夜（CMIP6 气候模型中位数模拟）。 2014 年洪都拉斯的数值较高，高出 12.2 夜，是秘鲁的 1.07 倍。

在地图上查看其变化

每年夜数 · CMIP6

洪都拉斯与秘鲁：热带夜2014 年热带夜：洪都拉斯为 176.7 夜，秘鲁为 164.5 夜（CMIP6 气候模型中位数模拟）。 2014 年洪都拉斯的数值较高，高出 12.2 夜，是秘鲁的 1.07 倍。
洪都拉斯秘鲁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 1989 年超过秘鲁以来，洪都拉斯的数值一直更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年洪都拉斯为 279.1 夜，秘鲁为 192.3 夜。

逐年数据

每年夜数 · CMIP6

年份洪都拉斯秘鲁
2014176.7164.5
2013181.1163.1
2012181.4164.8
2011180.5164.3
2010176.9163.3
2009174.4162.3
2008170.5162
2007171.8159.8
2006171159.1
2005171.6159.3
2004174.2161.8
2003170.2160.5
2002169.1159.9
2001168.2160.7
2000164.8158
1999162.2155.7
1998163157.4
1997160.4156.1
1996154.7152.2
1995152.5152.1
1994151.9150.8
1993149148.5
1992145144
1991156.7156
1990162.1158.3
1989153.8153.2
1988151.1151.2
1987151.9152
1986151.3153.4
1985146.1149
1984147.5148.3
1983143.7145.4
1982148.4151.4
1981150.9153.1
1980147.8150.9
1979148.9150.5
1978146149.1
1977148.6150.3
1976145.5147.5
1975141.8142.1
1974146.8148.6
1973145.1151.5
1972140.4147.6
1971141.1145.7
1970140.6145.6
1969142.2147
1968141.9146
1967138.4142.3
1966139.9145.7
1965138.1143.3
1964138.4141.6
1963136.8135.9
1962144.2148.9
1961145.5146.5
1960146.1149.8
1959143.3146.1
1958147.6149.1
1957144.5148.7
1956143.8144
1955146.3148.3
1954144148.7
1953143.2148.2
1952143.6148.1
1951145.5147.2
1950143.7147.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份洪都拉斯秘鲁
2015186.4151.3–215.3164.3148.5–174.9
2016185.7154.8–211.9163.4149.8–171.5
2017194.4164.9–215.2165.5155–175.2
2018190.6168.8–218.5165152.9–176.6
2019189161–221163.7151–176.8
2020196.8164.4–223165.3151.6–176.2
2021199.3176.3–226.8167.6154.7–177.3
2022202.9173–227.6169.5156.6–179.2
2023198.1175.2–230.1167.1156.3–178.4
2024204.7177.9–233.2170.6157.3–180.2
2025202.7173.9–230.8168.6155–179.9
2026206.8174–235.2167.8153.3–179.7
2027206.5177.9–235.7168.3155.2–178.8
2028211.3184–238.7169.8158.3–179.9
2029210.3185.4–244.5174162.8–181.7
2030208.9176.9–241.7168.1153.2–180.6
2031217.3187.1–246.4172.5156.2–183.7
2032218.9194.5–247.9173.2162.7–184.7
2033213.3188.2–239.7172156.5–181
2034211.3186.1–248.7171.6158.7–185.6
2035215.3184.2–248.2172159.3–184.1
2036215.5194.1–242.5172.5160.7–183.2
2037226.4202.4–251.6175.6166.3–185.3
2038228.9198.7–256.2175.8164.6–184.9
2039224.4196.6–256.2174.1162.7–185
2040225.1201–258175.4163.9–187
2041225.9203–251.8176.5165.3–186.1
2042229.3200.2–262.8176.3161.9–189.7
2043224.4199–262.5174.8163.7–185.3
2044224.8201.2–262.7175.3161.9–188.2
2045231206.1–262.3177.3165.5–186.9
2046236.9204.5–267.7180.3167.4–189.9
2047236.3213.3–269.3178.6167.5–189
2048241.2216.7–268.9181.2168.2–192.2
2049244.8213.5–270.7180.4168.1–189.8
2050241.1207.2–277.8178.6166.4–190.8
2051239.9210.5–270.2180.3168.5–190.6
2052245.1215.7–271.2181.5170.8–191.7
2053240.8211.7–277.5179.5168.3–190.8
2054243.9220.4–286.6180.1167.3–193.9
2055248.1220.1–282.1181.7171–194.8
2056245.6213.1–279182.2170–193
2057249.4214.2–279.1181.6168.7–193
2058248.4217.2–289.1183.1169.4–195.5
2059252.6220.5–283.1184.6169.7–195.3
2060256.8225.2–289.4185.6171.1–197.1
2061254.5220.4–285.9182.7169.9–195.8
2062252.8217.4–291.1184.3168.7–196.9
2063258.7226.2–288184.6170.8–196.9
2064252.1224.1–285.7184.4170.1–194.8
2065258.1226.9–288.9186.3173.3–196.9
2066256.4227.7–287.4185.6172.3–197.4
2067258.3228.2–294.9184.3169.4–198.2
2068264.6231.2–295186.1172.1–198.3
2069258.1229.3–292184.9169–198.3
2070256.9225.3–297.9185.4171.8–198.4
2071261.9231–292.9187.3173.3–198.7
2072267.3235.2–300.4188.1174.9–199.8
2073268.1233.7–304.7187.6175.9–202.1
2074263.7234.2–295.9186.4169.5–198.9
2075262.1229.5–295.4186.4170.6–198.3
2076266.8231.8–298.5188.8174.2–201
2077268.6232.1–298.8189.1174.7–201.8
2078270.1236.8–299.6188.4175.6–202.3
2079265.3229.5–304.2188172–199.7
2080268.4230.2–304.2189.1172.8–201.7
2081268231.9–300.8188.4173.6–201.8
2082267.4230.2–301.8188.8174.8–199.7
2083268.3236.2–307.4189.9175.7–204.7
2084273.9235.2–307.1190.7176.3–204.4
2085276.4234.2–305.9192176.2–204.6
2086267.9238.8–305.2189.1175.4–204
2087270.4233.7–301.8189.1175.9–203.6
2088277239.9–310.2191.1174.7–204.9
2089275.4246–309.8190.1174.3–203
2090275.3244.1–307190.4177–206.2
2091281.9240.6–310.6192.6174.4–205.9
2092277.1245.6–312.3192.6176.6–204.7
2093272.8244.2–311.6190.6176–206
2094274.9245.2–308.4192.3178.2–204.1
2095280.8244.6–313.5193.4176.5–207.3
2096275.2245.8–313.5191.4176.2–207.6
2097276247.2–305.4190.7174.9–202.2
2098278.9238.9–313.4192.9177.8–208.9
2099280.8240.6–312.8191.5176.8–205
2100279.1248.3–309.6192.3176.6–205.6

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

洪都拉斯与秘鲁对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境