缅甸与巴基斯坦对比

缅甸与巴基斯坦：热带夜

2014 年热带夜：缅甸为 201.9 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年缅甸的数值较高，高出 52 夜，是巴基斯坦的 1.35 倍。

在地图上查看其变化

每年夜数 · CMIP6

缅甸与巴基斯坦：热带夜2014 年热带夜：缅甸为 201.9 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年缅甸的数值较高，高出 52 夜，是巴基斯坦的 1.35 倍。
缅甸巴基斯坦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，缅甸的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年缅甸为 244.5 夜，巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份缅甸巴基斯坦
2014201.9149.9
2013203.1149.1
2012201.1149.9
2011200.9149
2010202.1148.4
2009199147.1
2008198.1147.4
2007196.8147.3
2006198.2146.7
2005196.7146.5
2004200.3147.5
2003195.3146
2002196.6148.3
2001199145.4
2000197.2144.7
1999196.4146.9
1998194.7144.8
1997194.4143.2
1996191.4141.2
1995189.9141.8
1994188.8142.1
1993185140.4
1992180.5139.9
1991191.7142.5
1990191.5142.6
1989190.3142.5
1988190.7140.3
1987190.8140
1986189.7140
1985187.4140
1984189.1138.9
1983182.3136.3
1982186.7138.5
1981188.4141.5
1980189139.5
1979189.8139.1
1978186.8139
1977187.4138.6
1976185.8139.2
1975183.6136.5
1974185.5138.7
1973187.5137.8
1972184.8137.4
1971185.2136
1970184.9137.7
1969184.3135.9
1968183.7136.6
1967182.3135.2
1966186.2136.9
1965182.9138.3
1964180.6135.1
1963183.1135.7
1962187.3137
1961188.7138.6
1960187.1139
1959186.5138.6
1958187.1137.7
1957186.2140
1956187.9137.8
1955185.9137.5
1954185.7137.8
1953185136.9
1952186.1138.1
1951187.1136.7
1950186.9139.1
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份缅甸巴基斯坦
2015205.2186.4–218.9152.4138.7–163.3
2016202.8186.2–218.8150.6139.4–161.7
2017203.4187.3–218.3151.3138.8–162
2018205.5190.9–219.9152.6139.8–161.8
2019205.2186.7–222.2151.8138.1–163.3
2020208.2188.5–223.5153.1140.3–164.5
2021208.9191.2–224.1154.1140.6–165.7
2022209.9192.7–224.9153.1140.2–165.7
2023210.6195.4–226.3155.5141.6–165.9
2024210.4193.8–226.6156.8143.3–168.7
2025209.9190.3–225.2155.7141.5–168.6
2026212.2194.3–229.2155.3142.2–167.9
2027212195.6–228.6156.8140.9–168.9
2028213195.7–227.2156.5143.9–167.6
2029215.3193.9–231.9155.9141.5–167.7
2030212.2194.9–228156.3143.3–167.6
2031214.3197.2–230.8157.3144.4–168.1
2032215199.3–229.6157.4142.5–169.6
2033215.5198.5–230.1157.7143.6–169.4
2034214.9198.4–233.5159.5145.6–173.4
2035214.9199.2–236.8159.3146.7–170.3
2036216198.7–234.5159.1147.5–171.4
2037217.2199.6–233.5162.2147.5–175.3
2038220.7204.8–235.1161.4148.6–171.7
2039219.7202.4–234.3160148.2–170.4
2040219.2202.9–235160.9147.9–171.3
2041220.7203.9–237.7160.8146.7–171.7
2042221.8206.1–237.2162.3149.9–175.6
2043219.5201.2–237.1161.1150.3–173.8
2044221.4201.6–239.6163150.9–173.9
2045223.7204.8–241.5163149.5–174.8
2046223.2203.2–240.2163.5149.8–177.2
2047224.3204.8–241.1165.2151.8–178.5
2048226.4207.7–243.8166.4154.1–179.4
2049226.5205.6–242.8165150.8–178.2
2050227209.3–243.5166.9153.5–179.3
2051229.6212.4–246.4165.6150.8–180
2052227.2208.6–244.2166.7155.4–179.5
2053227.9208.7–247.7166.3154.2–178.8
2054227.9209.6–244.8167.5153.9–181
2055229.1209.8–247.5167.8155.8–182.5
2056231.8210.4–252.1166.3153.6–179.7
2057228.6208–249168.3153.9–182.3
2058228.9208.8–249167.5157–179.9
2059230.7212.1–247.5170.9155.9–183.8
2060234.7211.1–251.5170.3156.5–181.8
2061231.9213–247.7168.8156.8–179.6
2062233.6209.9–252.8171.6153.5–186.5
2063233215.4–250.5171.3159.5–183.8
2064233.2214.4–251.3170.2155.3–184.5
2065230.7210.4–250.7169.7156.4–185
2066233.5214.3–251.2172.2157–186.7
2067233211.5–253.3173.2160.2–186.3
2068233.1212.4–253.7172.6157.7–186.3
2069236.1214.6–253.4171.8157.3–185.6
2070235.9218.1–253.4171.7158.9–186.7
2071235.1213.5–259.6173.4158.7–186.8
2072234.6216.1–252.6174161.5–186.9
2073237.2219.3–257.2175.6157.2–187.9
2074236.4215.7–254.5173.5160–186.3
2075236.7214.4–255.9173161.5–187.8
2076237.7216–257172.9158.8–186.7
2077237.5219–258.7175161.3–187.8
2078238.5217.3–257.8174.4160.9–189.3
2079238.5219.2–257.2172.5158.3–187.7
2080240.5218.8–258.3175.1160.7–189.2
2081240219.7–260.9174.9159.2–190.2
2082239.4217.1–258.8175.4161.8–190.6
2083239.1220.5–259.2176.5161.8–190.8
2084241.3218.9–260.6176.1160.9–190.5
2085241.7218.8–260.7176.3161.9–193.6
2086241.7217.4–262.7173.9160–189.1
2087241.4220.5–260.9176161–193.1
2088241.8222.3–261.5175.4160.5–195.2
2089240.7221.2–262.6177.2164.2–191.7
2090241.3224.4–260.9177.7163.9–192.2
2091242.6220.3–262.5177.8162.8–192.2
2092241.9221.6–263.3178.7162.9–192.9
2093242.1220.2–260177164–191
2094242.5222.5–261.9176.8164.1–190.7
2095244.9224–264.4178.6163.8–193.1
2096243.9221.1–266.5177.8163.7–192.5
2097243.6219.6–264.2177.3160.4–192.5
2098243.6222.5–263.9178.7162.6–195.7
2099244.7221.8–263.5176159.9–193.2
2100244.5223.2–261.8177.6162.2–193

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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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