古巴与秘鲁对比

古巴与秘鲁：热带夜

2014 年热带夜：古巴为 309.7 夜，秘鲁为 164.5 夜（CMIP6 气候模型中位数模拟）。 2014 年古巴的数值较高，高出 145.2 夜，是秘鲁的 1.88 倍。

在地图上查看其变化

每年夜数 · CMIP6

古巴与秘鲁：热带夜2014 年热带夜：古巴为 309.7 夜，秘鲁为 164.5 夜（CMIP6 气候模型中位数模拟）。 2014 年古巴的数值较高，高出 145.2 夜，是秘鲁的 1.88 倍。
古巴秘鲁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 1950 年以来，在两国都有数据的每一年，古巴的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年古巴为 346 夜，秘鲁为 192.3 夜。

逐年数据

每年夜数 · CMIP6

年份古巴秘鲁
2014309.7164.5
2013315.2163.1
2012312164.8
2011312.1164.3
2010313163.3
2009308.8162.3
2008309.3162
2007308.5159.8
2006309.9159.1
2005309.1159.3
2004309.3161.8
2003304.6160.5
2002310.4159.9
2001304.8160.7
2000308.1158
1999304.4155.7
1998304.9157.4
1997299.8156.1
1996298152.2
1995295.1152.1
1994297.3150.8
1993294.5148.5
1992295.7144
1991299.1156
1990302158.3
1989298.1153.2
1988298.3151.2
1987294152
1986293.6153.4
1985297.4149
1984289.4148.3
1983292.2145.4
1982294151.4
1981293.6153.1
1980295.8150.9
1979295.1150.5
1978290.9149.1
1977289.3150.3
1976293.4147.5
1975289142.1
1974291.6148.6
1973291.2151.5
1972289.4147.6
1971286.5145.7
1970283.3145.6
1969287.2147
1968290.6146
1967289.9142.3
1966290.7145.7
1965284.8143.3
1964287.7141.6
1963288.9135.9
1962292.9148.9
1961292.2146.5
1960293.3149.8
1959292.7146.1
1958291.6149.1
1957292148.7
1956294.6144
1955293.4148.3
1954289.5148.7
1953289.2148.2
1952290.9148.1
1951292.1147.2
1950292.3147.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份古巴秘鲁
2015315.1292.1–332.6164.3148.5–174.9
2016317.9302.7–334.8163.4149.8–171.5
2017317304–329.5165.5155–175.2
2018319.5301–334.2165152.9–176.6
2019317.6297.3–336.1163.7151–176.8
2020319.5296.6–334.3165.3151.6–176.2
2021320.6301.8–335.1167.6154.7–177.3
2022318.2303.4–331.8169.5156.6–179.2
2023322.4302.9–336.9167.1156.3–178.4
2024320.1297.1–341.5170.6157.3–180.2
2025319.6297.1–334.8168.6155–179.9
2026327.3300.6–343.1167.8153.3–179.7
2027328.7307.3–344.9168.3155.2–178.8
2028327.5306.8–343.5169.8158.3–179.9
2029326.5309–340.3174162.8–181.7
2030328.8305–342.3168.1153.2–180.6
2031328.6308.6–343.5172.5156.2–183.7
2032332.1308.4–344.7173.2162.7–184.7
2033328.3305.5–342.9172156.5–181
2034329.4308.9–346.2171.6158.7–185.6
2035325.7307.3–342.4172159.3–184.1
2036329307–341.7172.5160.7–183.2
2037332.6311.4–346.9175.6166.3–185.3
2038331.4313–345.1175.8164.6–184.9
2039328305.6–345.9174.1162.7–185
2040328.8309–347.6175.4163.9–187
2041331.4307.4–344.3176.5165.3–186.1
2042331.6309.6–345.1176.3161.9–189.7
2043332.1311–348.9174.8163.7–185.3
2044335.1315.6–348.6175.3161.9–188.2
2045336.3317.6–348.6177.3165.5–186.9
2046328.7309–349.2180.3167.4–189.9
2047334.4316.3–350.1178.6167.5–189
2048335.2316.3–349.1181.2168.2–192.2
2049339.5317–350.8180.4168.1–189.8
2050338.7316.7–350.6178.6166.4–190.8
2051337.4313.8–349.8180.3168.5–190.6
2052331311.8–349.4181.5170.8–191.7
2053339.5314.6–351.2179.5168.3–190.8
2054338.4322.5–348.7180.1167.3–193.9
2055336.9318.7–350.1181.7171–194.8
2056338.1320.4–351.5182.2170–193
2057340.6316.7–351.1181.6168.7–193
2058340.8322.3–351.7183.1169.4–195.5
2059334.6319.6–349.6184.6169.7–195.3
2060340.7320.6–352.9185.6171.1–197.1
2061337.9324.8–351.5182.7169.9–195.8
2062340.1323.4–351184.3168.7–196.9
2063340.9316.3–354.4184.6170.8–196.9
2064341315.6–353.1184.4170.1–194.8
2065340.3319.5–352186.3173.3–196.9
2066339.5319.3–352.1185.6172.3–197.4
2067342.1324.2–351.9184.3169.4–198.2
2068344.3320.4–354.8186.1172.1–198.3
2069342.8323.8–355.6184.9169–198.3
2070344.4322.1–356.2185.4171.8–198.4
2071345326.4–354.8187.3173.3–198.7
2072345318.5–356.3188.1174.9–199.8
2073343.1321.4–355.1187.6175.9–202.1
2074342.9325.4–354.5186.4169.5–198.9
2075341.8319.7–353.7186.4170.6–198.3
2076344.9323.6–356.2188.8174.2–201
2077342320.4–351.9189.1174.7–201.8
2078345324.3–355.7188.4175.6–202.3
2079343.3323.8–356188172–199.7
2080344.9328.1–358.4189.1172.8–201.7
2081342.7326–353.6188.4173.6–201.8
2082344.9329.8–355.4188.8174.8–199.7
2083343.8321.8–354.5189.9175.7–204.7
2084344328.8–356.5190.7176.3–204.4
2085346.4322.1–356.6192176.2–204.6
2086342.6316.5–352.9189.1175.4–204
2087345.5325.6–356.7189.1175.9–203.6
2088346.5325.1–358.5191.1174.7–204.9
2089347.8327.2–357.7190.1174.3–203
2090346.9334.4–356.8190.4177–206.2
2091346.9330.1–357.1192.6174.4–205.9
2092346.6327–356192.6176.6–204.7
2093345.4326.9–356.3190.6176–206
2094347326.3–357.7192.3178.2–204.1
2095343.9329.1–355.1193.4176.5–207.3
2096344326.6–356.1191.4176.2–207.6
2097346.7329.2–355.1190.7174.9–202.2
2098347.2326.3–356.6192.9177.8–208.9
2099345.5327.5–357.7191.5176.8–205
2100346329.4–356.1192.3176.6–205.6

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

古巴与秘鲁对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境