哥伦比亚与秘鲁对比

哥伦比亚与秘鲁:热带夜

2014 年热带夜:哥伦比亚为 279.9 夜,秘鲁为 164.5 夜(CMIP6 气候模型中位数模拟)。 2014 年哥伦比亚的数值较高,高出 115.4 夜,是秘鲁的 1.7 倍。

每年夜数 · CMIP6

哥伦比亚与秘鲁:热带夜2014 年热带夜:哥伦比亚为 279.9 夜,秘鲁为 164.5 夜(CMIP6 气候模型中位数模拟)。 2014 年哥伦比亚的数值较高,高出 115.4 夜,是秘鲁的 1.7 倍。
哥伦比亚秘鲁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,哥伦比亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年哥伦比亚为 297.4 夜,秘鲁为 192.3 夜。

逐年数据

每年夜数 · CMIP6

年份哥伦比亚秘鲁
2014279.9164.5
2013279.8163.1
2012280.7164.8
2011280164.3
2010279.1163.3
2009279.3162.3
2008278.4162
2007277.3159.8
2006277.5159.1
2005277.7159.3
2004278.2161.8
2003277.5160.5
2002277.3159.9
2001278160.7
2000276.2158
1999274.6155.7
1998275.2157.4
1997274.4156.1
1996271.2152.2
1995271.3152.1
1994270.4150.8
1993268148.5
1992264.7144
1991273.9156
1990275.6158.3
1989271.9153.2
1988270.3151.2
1987271.8152
1986271.4153.4
1985268.4149
1984268.2148.3
1983265.1145.4
1982269.2151.4
1981272.1153.1
1980270.2150.9
1979269.3150.5
1978268.3149.1
1977269.6150.3
1976266.1147.5
1975261.6142.1
1974266.6148.6
1973269.9151.5
1972266.6147.6
1971265.7145.7
1970265.4145.6
1969266147
1968264.6146
1967261.7142.3
1966263.7145.7
1965263.2143.3
1964260.3141.6
1963254.8135.9
1962266.7148.9
1961267146.5
1960268.6149.8
1959265.5146.1
1958268149.1
1957267.4148.7
1956263.3144
1955267.7148.3
1954267.2148.7
1953267.9148.2
1952268.1148.1
1951267.2147.2
1950266.5147.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份哥伦比亚秘鲁
2015280.4265.9–286.4164.3148.5–174.9
2016279.9267.9–285.6163.4149.8–171.5
2017281.7270.6–286.3165.5155–175.2
2018281.5271.8–286.3165152.9–176.6
2019281.1269.5–286.9163.7151–176.8
2020282.1270.6–287.9165.3151.6–176.2
2021283.2273.9–287.8167.6154.7–177.3
2022283.7273.6–288.5169.5156.6–179.2
2023282.6274.2–288.8167.1156.3–178.4
2024284.7274.7–289.8170.6157.3–180.2
2025283.5273.3–289.7168.6155–179.9
2026283.4272.7–289.7167.8153.3–179.7
2027283.9273.4–289.2168.3155.2–178.8
2028285275.1–290.7169.8158.3–179.9
2029285.8276–290.3174162.8–181.7
2030284.2273.4–289.8168.1153.2–180.6
2031285.8274.8–291.2172.5156.2–183.7
2032286.7278.3–292.6173.2162.7–184.7
2033285.7274.7–290.3172156.5–181
2034285275.8–292.8171.6158.7–185.6
2035285.9277.3–292172159.3–184.1
2036286276.9–291.6172.5160.7–183.2
2037287.5279.3–291.9175.6166.3–185.3
2038288279.7–292.4175.8164.6–184.9
2039287.6278.8–292.7174.1162.7–185
2040287.6279.3–294.5175.4163.9–187
2041288.2279.9–292.7176.5165.3–186.1
2042288.2278.3–295176.3161.9–189.7
2043287.7277.7–293.4174.8163.7–185.3
2044287.8278.5–295.1175.3161.9–188.2
2045288.8280.5–293.9177.3165.5–186.9
2046290.4281–295.5180.3167.4–189.9
2047289.9280.6–294.6178.6167.5–189
2048290.7281.4–296.8181.2168.2–192.2
2049290.9282–295.3180.4168.1–189.8
2050290.1280.8–296178.6166.4–190.8
2051290.6280.9–295.7180.3168.5–190.6
2052290.9281.9–296.7181.5170.8–191.7
2053290.5280.8–296.3179.5168.3–190.8
2054290.8281.3–297.2180.1167.3–193.9
2055291.1282.6–298181.7171–194.8
2056291.5281.5–298.6182.2170–193
2057291.5281.2–297.3181.6168.7–193
2058291.8281.7–298.9183.1169.4–195.5
2059292.8282–299.2184.6169.7–195.3
2060293.2283–300.1185.6171.1–197.1
2061292.2281.9–298.7182.7169.9–195.8
2062292.6282.4–299.7184.3168.7–196.9
2063293.6282.3–298.6184.6170.8–196.9
2064292.7282.9–299.1184.4170.1–194.8
2065293.8283.6–299.4186.3173.3–196.9
2066293.1283.4–299.8185.6172.3–197.4
2067292.9281.8–299.6184.3169.4–198.2
2068294.2282.5–300.6186.1172.1–198.3
2069292.9282.4–300184.9169–198.3
2070292.9282.8–300.8185.4171.8–198.4
2071294.2282.8–301.5187.3173.3–198.7
2072294.9285.1–301.9188.1174.9–199.8
2073294.9285.5–302.2187.6175.9–202.1
2074293.9283.3–300.3186.4169.5–198.9
2075294.1283.2–300.6186.4170.6–198.3
2076294.9284.6–302188.8174.2–201
2077295.3284.3–301.9189.1174.7–201.8
2078294.4285–302188.4175.6–202.3
2079294.8283.7–301.8188172–199.7
2080295.1283.4–302.8189.1172.8–201.7
2081295.1284.8–302.6188.4173.6–201.8
2082295.1284.9–301.3188.8174.8–199.7
2083295.4284.5–304.6189.9175.7–204.7
2084296285.1–304.4190.7176.3–204.4
2085296.6285–305192176.2–204.6
2086295.6284.8–303.6189.1175.4–204
2087295.3284.1–303.4189.1175.9–203.6
2088295.9284.5–305.5191.1174.7–204.9
2089295.6285–304.5190.1174.3–203
2090295.7285.8–304.6190.4177–206.2
2091297285–304.9192.6174.4–205.9
2092296.8286–305.7192.6176.6–204.7
2093296.3285.6–305.3190.6176–206
2094296.4285.8–305192.3178.2–204.1
2095297.9285.6–304.9193.4176.5–207.3
2096296285.9–307.5191.4176.2–207.6
2097296.5284.8–303.4190.7174.9–202.2
2098296.6286–307.3192.9177.8–208.9
2099297284.6–305.4191.5176.8–205
2100297.4286.5–305.2192.3176.6–205.6

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

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