哥伦比亚与巴基斯坦对比

哥伦比亚与巴基斯坦:热带夜

2014 年热带夜:哥伦比亚为 279.9 夜,巴基斯坦为 149.9 夜(CMIP6 气候模型中位数模拟)。 2014 年哥伦比亚的数值较高,高出 130 夜,是巴基斯坦的 1.87 倍。

每年夜数 · CMIP6

哥伦比亚与巴基斯坦:热带夜2014 年热带夜:哥伦比亚为 279.9 夜,巴基斯坦为 149.9 夜(CMIP6 气候模型中位数模拟)。 2014 年哥伦比亚的数值较高,高出 130 夜,是巴基斯坦的 1.87 倍。
哥伦比亚巴基斯坦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,巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份哥伦比亚巴基斯坦
2014279.9149.9
2013279.8149.1
2012280.7149.9
2011280149
2010279.1148.4
2009279.3147.1
2008278.4147.4
2007277.3147.3
2006277.5146.7
2005277.7146.5
2004278.2147.5
2003277.5146
2002277.3148.3
2001278145.4
2000276.2144.7
1999274.6146.9
1998275.2144.8
1997274.4143.2
1996271.2141.2
1995271.3141.8
1994270.4142.1
1993268140.4
1992264.7139.9
1991273.9142.5
1990275.6142.6
1989271.9142.5
1988270.3140.3
1987271.8140
1986271.4140
1985268.4140
1984268.2138.9
1983265.1136.3
1982269.2138.5
1981272.1141.5
1980270.2139.5
1979269.3139.1
1978268.3139
1977269.6138.6
1976266.1139.2
1975261.6136.5
1974266.6138.7
1973269.9137.8
1972266.6137.4
1971265.7136
1970265.4137.7
1969266135.9
1968264.6136.6
1967261.7135.2
1966263.7136.9
1965263.2138.3
1964260.3135.1
1963254.8135.7
1962266.7137
1961267138.6
1960268.6139
1959265.5138.6
1958268137.7
1957267.4140
1956263.3137.8
1955267.7137.5
1954267.2137.8
1953267.9136.9
1952268.1138.1
1951267.2136.7
1950266.5139.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份哥伦比亚巴基斯坦
2015280.4265.9–286.4152.4138.7–163.3
2016279.9267.9–285.6150.6139.4–161.7
2017281.7270.6–286.3151.3138.8–162
2018281.5271.8–286.3152.6139.8–161.8
2019281.1269.5–286.9151.8138.1–163.3
2020282.1270.6–287.9153.1140.3–164.5
2021283.2273.9–287.8154.1140.6–165.7
2022283.7273.6–288.5153.1140.2–165.7
2023282.6274.2–288.8155.5141.6–165.9
2024284.7274.7–289.8156.8143.3–168.7
2025283.5273.3–289.7155.7141.5–168.6
2026283.4272.7–289.7155.3142.2–167.9
2027283.9273.4–289.2156.8140.9–168.9
2028285275.1–290.7156.5143.9–167.6
2029285.8276–290.3155.9141.5–167.7
2030284.2273.4–289.8156.3143.3–167.6
2031285.8274.8–291.2157.3144.4–168.1
2032286.7278.3–292.6157.4142.5–169.6
2033285.7274.7–290.3157.7143.6–169.4
2034285275.8–292.8159.5145.6–173.4
2035285.9277.3–292159.3146.7–170.3
2036286276.9–291.6159.1147.5–171.4
2037287.5279.3–291.9162.2147.5–175.3
2038288279.7–292.4161.4148.6–171.7
2039287.6278.8–292.7160148.2–170.4
2040287.6279.3–294.5160.9147.9–171.3
2041288.2279.9–292.7160.8146.7–171.7
2042288.2278.3–295162.3149.9–175.6
2043287.7277.7–293.4161.1150.3–173.8
2044287.8278.5–295.1163150.9–173.9
2045288.8280.5–293.9163149.5–174.8
2046290.4281–295.5163.5149.8–177.2
2047289.9280.6–294.6165.2151.8–178.5
2048290.7281.4–296.8166.4154.1–179.4
2049290.9282–295.3165150.8–178.2
2050290.1280.8–296166.9153.5–179.3
2051290.6280.9–295.7165.6150.8–180
2052290.9281.9–296.7166.7155.4–179.5
2053290.5280.8–296.3166.3154.2–178.8
2054290.8281.3–297.2167.5153.9–181
2055291.1282.6–298167.8155.8–182.5
2056291.5281.5–298.6166.3153.6–179.7
2057291.5281.2–297.3168.3153.9–182.3
2058291.8281.7–298.9167.5157–179.9
2059292.8282–299.2170.9155.9–183.8
2060293.2283–300.1170.3156.5–181.8
2061292.2281.9–298.7168.8156.8–179.6
2062292.6282.4–299.7171.6153.5–186.5
2063293.6282.3–298.6171.3159.5–183.8
2064292.7282.9–299.1170.2155.3–184.5
2065293.8283.6–299.4169.7156.4–185
2066293.1283.4–299.8172.2157–186.7
2067292.9281.8–299.6173.2160.2–186.3
2068294.2282.5–300.6172.6157.7–186.3
2069292.9282.4–300171.8157.3–185.6
2070292.9282.8–300.8171.7158.9–186.7
2071294.2282.8–301.5173.4158.7–186.8
2072294.9285.1–301.9174161.5–186.9
2073294.9285.5–302.2175.6157.2–187.9
2074293.9283.3–300.3173.5160–186.3
2075294.1283.2–300.6173161.5–187.8
2076294.9284.6–302172.9158.8–186.7
2077295.3284.3–301.9175161.3–187.8
2078294.4285–302174.4160.9–189.3
2079294.8283.7–301.8172.5158.3–187.7
2080295.1283.4–302.8175.1160.7–189.2
2081295.1284.8–302.6174.9159.2–190.2
2082295.1284.9–301.3175.4161.8–190.6
2083295.4284.5–304.6176.5161.8–190.8
2084296285.1–304.4176.1160.9–190.5
2085296.6285–305176.3161.9–193.6
2086295.6284.8–303.6173.9160–189.1
2087295.3284.1–303.4176161–193.1
2088295.9284.5–305.5175.4160.5–195.2
2089295.6285–304.5177.2164.2–191.7
2090295.7285.8–304.6177.7163.9–192.2
2091297285–304.9177.8162.8–192.2
2092296.8286–305.7178.7162.9–192.9
2093296.3285.6–305.3177164–191
2094296.4285.8–305176.8164.1–190.7
2095297.9285.6–304.9178.6163.8–193.1
2096296285.9–307.5177.8163.7–192.5
2097296.5284.8–303.4177.3160.4–192.5
2098296.6286–307.3178.7162.6–195.7
2099297284.6–305.4176159.9–193.2
2100297.4286.5–305.2177.6162.2–193

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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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