澳大利亚与巴基斯坦对比

澳大利亚与巴基斯坦：热带夜

2014 年热带夜：澳大利亚为 135.1 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年巴基斯坦的数值较高，高出 14.8 夜，是澳大利亚的 1.11 倍。

在地图上查看其变化

每年夜数 · CMIP6

澳大利亚与巴基斯坦：热带夜2014 年热带夜：澳大利亚为 135.1 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年巴基斯坦的数值较高，高出 14.8 夜，是澳大利亚的 1.11 倍。
澳大利亚巴基斯坦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，巴基斯坦的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年澳大利亚为 169.9 夜，巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份澳大利亚巴基斯坦
2014135.1149.9
2013133149.1
2012132.9149.9
2011133.8149
2010134.2148.4
2009132.3147.1
2008132.3147.4
2007131.8147.3
2006128.1146.7
2005131.7146.5
2004131.4147.5
2003132.4146
2002129.7148.3
2001130.1145.4
2000129.7144.7
1999127.7146.9
1998128.1144.8
1997124.5143.2
1996123.9141.2
1995123.5141.8
1994124.4142.1
1993121.4140.4
1992116.7139.9
1991125.1142.5
1990126142.6
1989124.4142.5
1988125.2140.3
1987124.4140
1986124.9140
1985122.7140
1984123.9138.9
1983122.5136.3
1982124.7138.5
1981123.3141.5
1980123.7139.5
1979122.3139.1
1978121.2139
1977120.6138.6
1976121.1139.2
1975118.6136.5
1974119.7138.7
1973123.3137.8
1972120.2137.4
1971120.4136
1970118.5137.7
1969120.9135.9
1968118.9136.6
1967118.6135.2
1966116.5136.9
1965116.5138.3
1964112.5135.1
1963114.6135.7
1962119137
1961121.9138.6
1960120.7139
1959120.3138.6
1958121.8137.7
1957119.8140
1956119.9137.8
1955117.5137.5
1954119.9137.8
1953118.5136.9
1952119.9138.1
1951119.6136.7
1950119.7139.1
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份澳大利亚巴基斯坦
2015134116.5–149.2152.4138.7–163.3
2016134.8118.2–149.5150.6139.4–161.7
2017136.1119.3–149.5151.3138.8–162
2018135.8118.4–151.4152.6139.8–161.8
2019136.6120.4–151.6151.8138.1–163.3
2020136119.8–151.4153.1140.3–164.5
2021135.6118.6–151.2154.1140.6–165.7
2022138.6121.4–155.1153.1140.2–165.7
2023139.9123.6–155.2155.5141.6–165.9
2024141122.4–156.1156.8143.3–168.7
2025140.9121–159.3155.7141.5–168.6
2026139.4121.9–157.8155.3142.2–167.9
2027140.4123.7–156156.8140.9–168.9
2028141.8125.4–158.7156.5143.9–167.6
2029143.3126–159.6155.9141.5–167.7
2030140.1125.4–156.4156.3143.3–167.6
2031141.6124.9–156.9157.3144.4–168.1
2032144.6128.6–162.1157.4142.5–169.6
2033144.5127.7–159.2157.7143.6–169.4
2034145129.2–161.3159.5145.6–173.4
2035146.5128.8–161.8159.3146.7–170.3
2036146.9128–161.8159.1147.5–171.4
2037146.6130.1–161.6162.2147.5–175.3
2038148.2131.2–164161.4148.6–171.7
2039146.9130.3–163.4160148.2–170.4
2040147.9130.6–164.6160.9147.9–171.3
2041147.6130.5–165.9160.8146.7–171.7
2042148.2129.2–166.5162.3149.9–175.6
2043148.9133.1–164.5161.1150.3–173.8
2044151135.2–166.3163150.9–173.9
2045149.3130.9–164.3163149.5–174.8
2046151.2135.4–168163.5149.8–177.2
2047153.5132.9–169.5165.2151.8–178.5
2048154.1135.2–171.4166.4154.1–179.4
2049153.4137.4–170.1165150.8–178.2
2050152.3133–170.6166.9153.5–179.3
2051154.5135.1–171.8165.6150.8–180
2052154.7134.9–175.7166.7155.4–179.5
2053153.8131.8–173166.3154.2–178.8
2054152.8134.4–172.4167.5153.9–181
2055155.2138.1–174.8167.8155.8–182.5
2056157139.6–173.6166.3153.6–179.7
2057156.3137.4–172.3168.3153.9–182.3
2058158.3135.3–176.6167.5157–179.9
2059157.9138.9–174.7170.9155.9–183.8
2060158.4140.3–176.8170.3156.5–181.8
2061158.8139.6–175.2168.8156.8–179.6
2062156.1137.8–172.7171.6153.5–186.5
2063160.2140–178.6171.3159.5–183.8
2064159.3140.5–177.9170.2155.3–184.5
2065156.7136.6–177.5169.7156.4–185
2066161.6142–180.6172.2157–186.7
2067162.5141.6–183.1173.2160.2–186.3
2068162.4140.7–180.1172.6157.7–186.3
2069162.6143.3–181171.8157.3–185.6
2070161.4140.4–180.3171.7158.9–186.7
2071162.1142–181.9173.4158.7–186.8
2072162.2142.3–179.6174161.5–186.9
2073163.8144.6–182.6175.6157.2–187.9
2074162.2142.8–181.6173.5160–186.3
2075163.1143–180.9173161.5–187.8
2076163.2141.1–181.9172.9158.8–186.7
2077163.1141.8–181.8175161.3–187.8
2078163.9145.8–181.3174.4160.9–189.3
2079163.3143.1–186172.5158.3–187.7
2080163142.7–183.3175.1160.7–189.2
2081165.8142.9–185.5174.9159.2–190.2
2082164.6145–182.6175.4161.8–190.6
2083164.2141.3–187176.5161.8–190.8
2084165.6140.7–187.4176.1160.9–190.5
2085167.2143.9–187.5176.3161.9–193.6
2086166.8143.2–186.2173.9160–189.1
2087165.2142.9–189.1176161–193.1
2088167.5146–187.8175.4160.5–195.2
2089166.3146.9–184.2177.2164.2–191.7
2090168.6145–188.3177.7163.9–192.2
2091168.3145.8–186.5177.8162.8–192.2
2092167.4144.8–185.2178.7162.9–192.9
2093168.2146–191.5177164–191
2094169146.8–187.2176.8164.1–190.7
2095169.5146.9–189.1178.6163.8–193.1
2096170.2145.3–192.8177.8163.7–192.5
2097168.2145.9–187.4177.3160.4–192.5
2098169.7149.4–190.8178.7162.6–195.7
2099167.1147.5–187.7176159.9–193.2
2100169.9149.9–190.1177.6162.2–193

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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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