肯尼亚与巴基斯坦对比

肯尼亚与巴基斯坦:热带夜

2014 年热带夜:肯尼亚为 245.6 夜,巴基斯坦为 149.9 夜(CMIP6 气候模型中位数模拟)。 2014 年肯尼亚的数值较高,高出 95.7 夜,是巴基斯坦的 1.64 倍。

每年夜数 · CMIP6

肯尼亚与巴基斯坦:热带夜2014 年热带夜:肯尼亚为 245.6 夜,巴基斯坦为 149.9 夜(CMIP6 气候模型中位数模拟)。 2014 年肯尼亚的数值较高,高出 95.7 夜,是巴基斯坦的 1.64 倍。
肯尼亚巴基斯坦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,肯尼亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年肯尼亚为 277 夜,巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份肯尼亚巴基斯坦
2014245.6149.9
2013245.4149.1
2012244.7149.9
2011245149
2010243.8148.4
2009242.3147.1
2008240.3147.4
2007240.9147.3
2006241.5146.7
2005241.2146.5
2004241.8147.5
2003240.8146
2002240.7148.3
2001242145.4
2000239.5144.7
1999237.8146.9
1998239.2144.8
1997236.9143.2
1996234.2141.2
1995232.9141.8
1994231.9142.1
1993227.4140.4
1992224.8139.9
1991233.8142.5
1990236.4142.6
1989234.5142.5
1988233.1140.3
1987232.6140
1986233140
1985228.7140
1984230.2138.9
1983226.7136.3
1982230.6138.5
1981232.9141.5
1980231.3139.5
1979229.6139.1
1978228.7139
1977229.9138.6
1976227.8139.2
1975225.9136.5
1974230.5138.7
1973230.4137.8
1972228.7137.4
1971226136
1970226.3137.7
1969225.9135.9
1968222.9136.6
1967224135.2
1966225.2136.9
1965224.2138.3
1964221.8135.1
1963220.2135.7
1962227.2137
1961228.3138.6
1960228.8139
1959228.3138.6
1958229.1137.7
1957228140
1956225.5137.8
1955228.7137.5
1954227.4137.8
1953227.6136.9
1952228.5138.1
1951228.3136.7
1950226.3139.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份肯尼亚巴基斯坦
2015246.9232.3–256.1152.4138.7–163.3
2016244.9230.1–255150.6139.4–161.7
2017248.1233.1–257.7151.3138.8–162
2018248.7237–257.4152.6139.8–161.8
2019247.1234.8–256.7151.8138.1–163.3
2020248.6233.2–259.2153.1140.3–164.5
2021249.5236.3–258.1154.1140.6–165.7
2022251.5239.7–259.5153.1140.2–165.7
2023251.8239–260.8155.5141.6–165.9
2024254.2239.1–263156.8143.3–168.7
2025251.5238.1–261.8155.7141.5–168.6
2026252.2237.2–263.3155.3142.2–167.9
2027252.8238.4–263.8156.8140.9–168.9
2028254.9241.9–264.2156.5143.9–167.6
2029256243.4–264.6155.9141.5–167.7
2030253.6240.6–263.1156.3143.3–167.6
2031256244.7–264.4157.3144.4–168.1
2032257243.8–267.1157.4142.5–169.6
2033256241.8–265.9157.7143.6–169.4
2034256.2241.2–267.9159.5145.6–173.4
2035256.7243.3–266.7159.3146.7–170.3
2036256.2242.4–266.7159.1147.5–171.4
2037258.7245.9–268.4162.2147.5–175.3
2038260.3244.5–268.9161.4148.6–171.7
2039259244.4–268160148.2–170.4
2040258.3246.2–269.8160.9147.9–171.3
2041260.7244.8–271.2160.8146.7–171.7
2042260.3246.5–272.7162.3149.9–175.6
2043259246.6–270.5161.1150.3–173.8
2044261.2248.8–270.9163150.9–173.9
2045261.8248.7–272.9163149.5–174.8
2046264.8249.6–275.3163.5149.8–177.2
2047264.4249.8–275.3165.2151.8–178.5
2048264.2252.3–274.9166.4154.1–179.4
2049265.2252.8–275.6165150.8–178.2
2050263.9249.8–275.1166.9153.5–179.3
2051265.4252.1–275.1165.6150.8–180
2052266.3252.6–276.2166.7155.4–179.5
2053265.2251–275.4166.3154.2–178.8
2054265.2250.2–277.2167.5153.9–181
2055266.8251.6–277.6167.8155.8–182.5
2056266.2251.2–277.8166.3153.6–179.7
2057266.8253–278168.3153.9–182.3
2058266.7251.5–277.9167.5157–179.9
2059269.8254.7–280.5170.9155.9–183.8
2060271.1253.9–280.7170.3156.5–181.8
2061267.5253.9–281.7168.8156.8–179.6
2062268.1254–281.2171.6153.5–186.5
2063268.9255–280.1171.3159.5–183.8
2064270254.1–279.8170.2155.3–184.5
2065269.4255.8–282.3169.7156.4–185
2066270.6258.1–281172.2157–186.7
2067270.7256.1–283173.2160.2–186.3
2068270.2256–283172.6157.7–186.3
2069269.8256.1–283.3171.8157.3–185.6
2070270.1255.8–282.6171.7158.9–186.7
2071271.9257.9–284.4173.4158.7–186.8
2072273.5260.3–283.8174161.5–186.9
2073273.1259.9–285.4175.6157.2–187.9
2074271.9257.5–285.4173.5160–186.3
2075271.1256.5–284.7173161.5–187.8
2076274.1258.6–285.8172.9158.8–186.7
2077273.4259–286.6175161.3–187.8
2078273.1260–284.4174.4160.9–189.3
2079273.3258.7–286.6172.5158.3–187.7
2080275.5259.4–286.9175.1160.7–189.2
2081274.7259.8–285.6174.9159.2–190.2
2082274.8261.3–286.4175.4161.8–190.6
2083274259.6–289.3176.5161.8–190.8
2084276.8259–288.8176.1160.9–190.5
2085276.2261.5–289.1176.3161.9–193.6
2086275.1260–289.1173.9160–189.1
2087276.2260.3–288.5176161–193.1
2088276.8261.6–289.7175.4160.5–195.2
2089275.9260.3–288.8177.2164.2–191.7
2090275.3260.5–290.5177.7163.9–192.2
2091277.7260.4–290.9177.8162.8–192.2
2092276.2261.2–290.7178.7162.9–192.9
2093276.9262–290.1177164–191
2094277262.8–288.9176.8164.1–190.7
2095278.4262.3–290.4178.6163.8–193.1
2096277.6260.5–292177.8163.7–192.5
2097277261–290.2177.3160.4–192.5
2098277.6262.3–291.5178.7162.6–195.7
2099277.9260.8–292.4176159.9–193.2
2100277261.8–290.4177.6162.2–193

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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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