印度与巴基斯坦对比

印度与巴基斯坦：热带夜

2014 年热带夜：印度为 215.5 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 65.6 夜，是巴基斯坦的 1.44 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度与巴基斯坦：热带夜2014 年热带夜：印度为 215.5 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 65.6 夜，是巴基斯坦的 1.44 倍。
印度巴基斯坦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，印度的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年印度为 250.4 夜，巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份印度巴基斯坦
2014215.5149.9
2013216149.1
2012217.4149.9
2011215.5149
2010215.2148.4
2009213.7147.1
2008213.7147.4
2007213.3147.3
2006212.5146.7
2005212.9146.5
2004214.9147.5
2003212.1146
2002213148.3
2001212.2145.4
2000210.8144.7
1999211.9146.9
1998210.3144.8
1997209.5143.2
1996207141.2
1995208.8141.8
1994207.1142.1
1993206140.4
1992203.5139.9
1991208142.5
1990209.9142.6
1989208142.5
1988207.3140.3
1987207.2140
1986207.2140
1985205.9140
1984206.7138.9
1983203.3136.3
1982205.7138.5
1981208.4141.5
1980205.3139.5
1979205.5139.1
1978204.1139
1977205.9138.6
1976204.6139.2
1975202.6136.5
1974205.3138.7
1973205.6137.8
1972203.8137.4
1971203.6136
1970202.6137.7
1969203.6135.9
1968201.7136.6
1967201.6135.2
1966203.9136.9
1965202.4138.3
1964201.2135.1
1963201.8135.7
1962203.8137
1961206.3138.6
1960206139
1959206.1138.6
1958204137.7
1957206.5140
1956204137.8
1955203.2137.5
1954206137.8
1953204136.9
1952204.4138.1
1951204.3136.7
1950206.3139.1
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度巴基斯坦
2015216.9202.1–228.4152.4138.7–163.3
2016215202.5–227.6150.6139.4–161.7
2017216.2202.1–228.5151.3138.8–162
2018218.3204.5–231.4152.6139.8–161.8
2019217.4202.3–230.4151.8138.1–163.3
2020217.6203.1–232153.1140.3–164.5
2021219.7204.5–233.2154.1140.6–165.7
2022220.5205.8–233153.1140.2–165.7
2023220.4206.4–233.7155.5141.6–165.9
2024222.6208.1–236.3156.8143.3–168.7
2025219.7202.7–236.2155.7141.5–168.6
2026220.2204.2–236.8155.3142.2–167.9
2027223.6207.1–239156.8140.9–168.9
2028222.1205.1–235.7156.5143.9–167.6
2029225.4210–240.3155.9141.5–167.7
2030222.7207.3–235.6156.3143.3–167.6
2031223.8207.1–237.8157.3144.4–168.1
2032225.9210–240.5157.4142.5–169.6
2033223.8209.3–235.4157.7143.6–169.4
2034225.8210–242.7159.5145.6–173.4
2035224.9210.6–240.9159.3146.7–170.3
2036224.2210.4–240.3159.1147.5–171.4
2037228.3213.6–242.6162.2147.5–175.3
2038228.1212.6–241.4161.4148.6–171.7
2039227.4211.9–242.8160148.2–170.4
2040227212.2–242160.9147.9–171.3
2041227.1210.7–240.5160.8146.7–171.7
2042229.1214.8–244.2162.3149.9–175.6
2043228.9214.5–244161.1150.3–173.8
2044229.7214.7–244.2163150.9–173.9
2045231.2216.6–246.1163149.5–174.8
2046232.6216.2–248.6163.5149.8–177.2
2047232.4215.5–250165.2151.8–178.5
2048235.6218.5–254.3166.4154.1–179.4
2049235.3218.3–249.9165150.8–178.2
2050233.5216.6–253.4166.9153.5–179.3
2051234.9218.6–249.9165.6150.8–180
2052234219.4–249.3166.7155.4–179.5
2053234.9219.5–252.5166.3154.2–178.8
2054237.2219.4–253.1167.5153.9–181
2055237.2220.7–256.6167.8155.8–182.5
2056238.8221.2–254.9166.3153.6–179.7
2057235.7218.5–253.8168.3153.9–182.3
2058238.8222.8–254.1167.5157–179.9
2059241.1224.9–256.2170.9155.9–183.8
2060240.9225.6–255.6170.3156.5–181.8
2061237.9220.6–253.7168.8156.8–179.6
2062239.9221.2–259.7171.6153.5–186.5
2063239.9222.3–256.1171.3159.5–183.8
2064240223.8–256.3170.2155.3–184.5
2065240.9222.9–257.3169.7156.4–185
2066241.5224.1–258.6172.2157–186.7
2067241.6224.8–257.9173.2160.2–186.3
2068242.3224.6–262.1172.6157.7–186.3
2069242.8225.4–259.1171.8157.3–185.6
2070240.1225.3–257.1171.7158.9–186.7
2071241.8223.7–260.2173.4158.7–186.8
2072242.6225.4–259.2174161.5–186.9
2073243.8228–259.3175.6157.2–187.9
2074241.6226.9–258.4173.5160–186.3
2075243.5226.4–258.2173161.5–187.8
2076243.2224.6–259.9172.9158.8–186.7
2077243.7226.6–264.6175161.3–187.8
2078246.7230.1–261.5174.4160.9–189.3
2079244.9226.4–261.3172.5158.3–187.7
2080246.7227–263.7175.1160.7–189.2
2081247.5230.4–264.8174.9159.2–190.2
2082244.6227.9–262.3175.4161.8–190.6
2083247.5227.8–265.1176.5161.8–190.8
2084247.3228.3–266.8176.1160.9–190.5
2085246.5227.5–267.1176.3161.9–193.6
2086245.6227.7–266.5173.9160–189.1
2087245.5226.7–266.2176161–193.1
2088247229.4–266.9175.4160.5–195.2
2089248.1230–266.3177.2164.2–191.7
2090249228.9–266.4177.7163.9–192.2
2091248.9230–266.5177.8162.8–192.2
2092249.8232.3–267.8178.7162.9–192.9
2093248.1229–266.5177164–191
2094249.1230.6–268.4176.8164.1–190.7
2095251233.2–270178.6163.8–193.1
2096247.8231.4–269.3177.8163.7–192.5
2097251.1231.4–268177.3160.4–192.5
2098252.3230.8–268.3178.7162.6–195.7
2099248.7230.1–268.3176159.9–193.2
2100250.4232.9–266.7177.6162.2–193

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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。

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