印度与缅甸对比

印度与缅甸：热带夜

2014 年热带夜：印度为 215.5 夜，缅甸为 201.9 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 13.6 夜，是缅甸的 1.07 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度与缅甸：热带夜2014 年热带夜：印度为 215.5 夜，缅甸为 201.9 夜（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 13.6 夜，是缅甸的 1.07 倍。
印度缅甸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，缅甸为 244.5 夜。

逐年数据

每年夜数 · CMIP6

年份印度缅甸
2014215.5201.9
2013216203.1
2012217.4201.1
2011215.5200.9
2010215.2202.1
2009213.7199
2008213.7198.1
2007213.3196.8
2006212.5198.2
2005212.9196.7
2004214.9200.3
2003212.1195.3
2002213196.6
2001212.2199
2000210.8197.2
1999211.9196.4
1998210.3194.7
1997209.5194.4
1996207191.4
1995208.8189.9
1994207.1188.8
1993206185
1992203.5180.5
1991208191.7
1990209.9191.5
1989208190.3
1988207.3190.7
1987207.2190.8
1986207.2189.7
1985205.9187.4
1984206.7189.1
1983203.3182.3
1982205.7186.7
1981208.4188.4
1980205.3189
1979205.5189.8
1978204.1186.8
1977205.9187.4
1976204.6185.8
1975202.6183.6
1974205.3185.5
1973205.6187.5
1972203.8184.8
1971203.6185.2
1970202.6184.9
1969203.6184.3
1968201.7183.7
1967201.6182.3
1966203.9186.2
1965202.4182.9
1964201.2180.6
1963201.8183.1
1962203.8187.3
1961206.3188.7
1960206187.1
1959206.1186.5
1958204187.1
1957206.5186.2
1956204187.9
1955203.2185.9
1954206185.7
1953204185
1952204.4186.1
1951204.3187.1
1950206.3186.9
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度缅甸
2015216.9202.1–228.4205.2186.4–218.9
2016215202.5–227.6202.8186.2–218.8
2017216.2202.1–228.5203.4187.3–218.3
2018218.3204.5–231.4205.5190.9–219.9
2019217.4202.3–230.4205.2186.7–222.2
2020217.6203.1–232208.2188.5–223.5
2021219.7204.5–233.2208.9191.2–224.1
2022220.5205.8–233209.9192.7–224.9
2023220.4206.4–233.7210.6195.4–226.3
2024222.6208.1–236.3210.4193.8–226.6
2025219.7202.7–236.2209.9190.3–225.2
2026220.2204.2–236.8212.2194.3–229.2
2027223.6207.1–239212195.6–228.6
2028222.1205.1–235.7213195.7–227.2
2029225.4210–240.3215.3193.9–231.9
2030222.7207.3–235.6212.2194.9–228
2031223.8207.1–237.8214.3197.2–230.8
2032225.9210–240.5215199.3–229.6
2033223.8209.3–235.4215.5198.5–230.1
2034225.8210–242.7214.9198.4–233.5
2035224.9210.6–240.9214.9199.2–236.8
2036224.2210.4–240.3216198.7–234.5
2037228.3213.6–242.6217.2199.6–233.5
2038228.1212.6–241.4220.7204.8–235.1
2039227.4211.9–242.8219.7202.4–234.3
2040227212.2–242219.2202.9–235
2041227.1210.7–240.5220.7203.9–237.7
2042229.1214.8–244.2221.8206.1–237.2
2043228.9214.5–244219.5201.2–237.1
2044229.7214.7–244.2221.4201.6–239.6
2045231.2216.6–246.1223.7204.8–241.5
2046232.6216.2–248.6223.2203.2–240.2
2047232.4215.5–250224.3204.8–241.1
2048235.6218.5–254.3226.4207.7–243.8
2049235.3218.3–249.9226.5205.6–242.8
2050233.5216.6–253.4227209.3–243.5
2051234.9218.6–249.9229.6212.4–246.4
2052234219.4–249.3227.2208.6–244.2
2053234.9219.5–252.5227.9208.7–247.7
2054237.2219.4–253.1227.9209.6–244.8
2055237.2220.7–256.6229.1209.8–247.5
2056238.8221.2–254.9231.8210.4–252.1
2057235.7218.5–253.8228.6208–249
2058238.8222.8–254.1228.9208.8–249
2059241.1224.9–256.2230.7212.1–247.5
2060240.9225.6–255.6234.7211.1–251.5
2061237.9220.6–253.7231.9213–247.7
2062239.9221.2–259.7233.6209.9–252.8
2063239.9222.3–256.1233215.4–250.5
2064240223.8–256.3233.2214.4–251.3
2065240.9222.9–257.3230.7210.4–250.7
2066241.5224.1–258.6233.5214.3–251.2
2067241.6224.8–257.9233211.5–253.3
2068242.3224.6–262.1233.1212.4–253.7
2069242.8225.4–259.1236.1214.6–253.4
2070240.1225.3–257.1235.9218.1–253.4
2071241.8223.7–260.2235.1213.5–259.6
2072242.6225.4–259.2234.6216.1–252.6
2073243.8228–259.3237.2219.3–257.2
2074241.6226.9–258.4236.4215.7–254.5
2075243.5226.4–258.2236.7214.4–255.9
2076243.2224.6–259.9237.7216–257
2077243.7226.6–264.6237.5219–258.7
2078246.7230.1–261.5238.5217.3–257.8
2079244.9226.4–261.3238.5219.2–257.2
2080246.7227–263.7240.5218.8–258.3
2081247.5230.4–264.8240219.7–260.9
2082244.6227.9–262.3239.4217.1–258.8
2083247.5227.8–265.1239.1220.5–259.2
2084247.3228.3–266.8241.3218.9–260.6
2085246.5227.5–267.1241.7218.8–260.7
2086245.6227.7–266.5241.7217.4–262.7
2087245.5226.7–266.2241.4220.5–260.9
2088247229.4–266.9241.8222.3–261.5
2089248.1230–266.3240.7221.2–262.6
2090249228.9–266.4241.3224.4–260.9
2091248.9230–266.5242.6220.3–262.5
2092249.8232.3–267.8241.9221.6–263.3
2093248.1229–266.5242.1220.2–260
2094249.1230.6–268.4242.5222.5–261.9
2095251233.2–270244.9224–264.4
2096247.8231.4–269.3243.9221.1–266.5
2097251.1231.4–268243.6219.6–264.2
2098252.3230.8–268.3243.6222.5–263.9
2099248.7230.1–268.3244.7221.8–263.5
2100250.4232.9–266.7244.5223.2–261.8

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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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