孟加拉国与印度对比

孟加拉国与印度：热带夜

2014 年热带夜：孟加拉国为 239.9 夜，印度为 215.5 夜（CMIP6 气候模型中位数模拟）。 2014 年孟加拉国的数值较高，高出 24.4 夜，是印度的 1.11 倍。

在地图上查看其变化

每年夜数 · CMIP6

孟加拉国与印度：热带夜2014 年热带夜：孟加拉国为 239.9 夜，印度为 215.5 夜（CMIP6 气候模型中位数模拟）。 2014 年孟加拉国的数值较高，高出 24.4 夜，是印度的 1.11 倍。
孟加拉国印度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，孟加拉国的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年孟加拉国为 269.8 夜，印度为 250.4 夜。

逐年数据

每年夜数 · CMIP6

年份孟加拉国印度
2014239.9215.5
2013239216
2012240.4217.4
2011240.5215.5
2010241215.2
2009238.6213.7
2008236.7213.7
2007236.9213.3
2006238.9212.5
2005238.2212.9
2004238.7214.9
2003236.5212.1
2002237.6213
2001237.2212.2
2000239.3210.8
1999236.6211.9
1998235.5210.3
1997235.5209.5
1996235.5207
1995234.8208.8
1994233.6207.1
1993232.2206
1992228203.5
1991233.4208
1990234.6209.9
1989235.7208
1988235.1207.3
1987236.4207.2
1986233.8207.2
1985233.6205.9
1984236206.7
1983230203.3
1982232.3205.7
1981235.9208.4
1980233.4205.3
1979234.5205.5
1978231.8204.1
1977232.3205.9
1976232204.6
1975231.3202.6
1974232.9205.3
1973232.1205.6
1972234.3203.8
1971233.1203.6
1970232.5202.6
1969231.1203.6
1968229.7201.7
1967231.6201.6
1966232.6203.9
1965232.5202.4
1964229.3201.2
1963233.8201.8
1962231.9203.8
1961236.2206.3
1960232.5206
1959234.7206.1
1958233.5204
1957232.5206.5
1956234.3204
1955230.2203.2
1954232.9206
1953234204
1952230.3204.4
1951233.5204.3
1950233.9206.3
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份孟加拉国印度
2015241.2227–252.4216.9202.1–228.4
2016237.9226.6–249.3215202.5–227.6
2017239.8227.5–249.4216.2202.1–228.5
2018242.6227–255218.3204.5–231.4
2019241.2228.5–251.9217.4202.3–230.4
2020242.6229.3–254.4217.6203.1–232
2021244.3230.4–254.4219.7204.5–233.2
2022243.8231.5–254.2220.5205.8–233
2023243.5229.2–254.5220.4206.4–233.7
2024245.7231.4–257.1222.6208.1–236.3
2025242.5229.4–253.9219.7202.7–236.2
2026243.9227.9–258.1220.2204.2–236.8
2027247.1232.8–259.3223.6207.1–239
2028244.2232.2–254.4222.1205.1–235.7
2029247.3232.7–261.5225.4210–240.3
2030243.9232.3–255.2222.7207.3–235.6
2031245.1232.9–262.3223.8207.1–237.8
2032247.6236.6–257.8225.9210–240.5
2033245.3231.7–256.6223.8209.3–235.4
2034246.3233.2–260.4225.8210–242.7
2035246.4234.1–260.9224.9210.6–240.9
2036246.2228.6–260.4224.2210.4–240.3
2037247.7235.4–260.2228.3213.6–242.6
2038249232.1–261228.1212.6–241.4
2039250234.4–262.7227.4211.9–242.8
2040248.9235.5–260.5227212.2–242
2041248.3235.6–261.9227.1210.7–240.5
2042252.5237.8–265.3229.1214.8–244.2
2043250.8234.7–263.4228.9214.5–244
2044251.8239.1–265.2229.7214.7–244.2
2045250.3239.1–265.6231.2216.6–246.1
2046252.7238.9–267.8232.6216.2–248.6
2047253.9239.4–267.1232.4215.5–250
2048254.4242.7–270.5235.6218.5–254.3
2049253.7241.5–266.4235.3218.3–249.9
2050254.6242.5–269.2233.5216.6–253.4
2051254.7242.7–270.1234.9218.6–249.9
2052252.3240.2–264.6234219.4–249.3
2053256.9244–272.4234.9219.5–252.5
2054255.9243.5–269.4237.2219.4–253.1
2055255.2243.8–273.6237.2220.7–256.6
2056259.1243.6–274.7238.8221.2–254.9
2057257.5243.8–273.7235.7218.5–253.8
2058257.4245.6–274.2238.8222.8–254.1
2059258.3246.4–271.8241.1224.9–256.2
2060259.2246.1–272.6240.9225.6–255.6
2061257.7244.8–270.1237.9220.6–253.7
2062260.4246.4–274.2239.9221.2–259.7
2063259.9241.3–272.7239.9222.3–256.1
2064260.2245.9–273.1240223.8–256.3
2065259.8244.1–274.7240.9222.9–257.3
2066260246.6–274.6241.5224.1–258.6
2067261.4246.4–272.3241.6224.8–257.9
2068260.1245.8–274.8242.3224.6–262.1
2069263.3249.8–276.6242.8225.4–259.1
2070259.6245.8–272.6240.1225.3–257.1
2071262.2248.7–283.4241.8223.7–260.2
2072259.8248.6–276242.6225.4–259.2
2073264.1246.6–277.2243.8228–259.3
2074262.6248.3–276.6241.6226.9–258.4
2075263.6248.5–277.7243.5226.4–258.2
2076261.6251–276.9243.2224.6–259.9
2077264251.1–279.8243.7226.6–264.6
2078265251.6–281.6246.7230.1–261.5
2079263.8248.5–277.2244.9226.4–261.3
2080266.8251.9–280.3246.7227–263.7
2081266.5250.7–279.9247.5230.4–264.8
2082264249.6–277.3244.6227.9–262.3
2083266.6251.8–282.8247.5227.8–265.1
2084264.8253.1–284.2247.3228.3–266.8
2085265.4251.2–283.4246.5227.5–267.1
2086268.2252.8–285.3245.6227.7–266.5
2087265.7251.3–280.8245.5226.7–266.2
2088267.2252.6–284.4247229.4–266.9
2089267.1252.5–286.7248.1230–266.3
2090267.9254.9–283.4249228.9–266.4
2091267.7254.5–282.2248.9230–266.5
2092268.8253.6–281.7249.8232.3–267.8
2093268.1251.7–287248.1229–266.5
2094267.4251.3–287.4249.1230.6–268.4
2095270.8253.7–284.9251233.2–270
2096267.9250.5–285.8247.8231.4–269.3
2097269.3254.9–287.3251.1231.4–268
2098268.8252.4–284.9252.3230.8–268.3
2099269253–282.3248.7230.1–268.3
2100269.8254.8–284.9250.4232.9–266.7

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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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