孟加拉国与哥伦比亚对比

孟加拉国与哥伦比亚：热带夜

2014 年热带夜：孟加拉国为 239.9 夜，哥伦比亚为 279.9 夜（CMIP6 气候模型中位数模拟）。 2014 年哥伦比亚的数值较高，高出 40 夜，是孟加拉国的 1.17 倍。

在地图上查看其变化

每年夜数 · CMIP6

孟加拉国与哥伦比亚：热带夜2014 年热带夜：孟加拉国为 239.9 夜，哥伦比亚为 279.9 夜（CMIP6 气候模型中位数模拟）。 2014 年哥伦比亚的数值较高，高出 40 夜，是孟加拉国的 1.17 倍。
孟加拉国哥伦比亚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，哥伦比亚的数值都更高。
  • 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，哥伦比亚为 297.4 夜。

逐年数据

每年夜数 · CMIP6

年份孟加拉国哥伦比亚
2014239.9279.9
2013239279.8
2012240.4280.7
2011240.5280
2010241279.1
2009238.6279.3
2008236.7278.4
2007236.9277.3
2006238.9277.5
2005238.2277.7
2004238.7278.2
2003236.5277.5
2002237.6277.3
2001237.2278
2000239.3276.2
1999236.6274.6
1998235.5275.2
1997235.5274.4
1996235.5271.2
1995234.8271.3
1994233.6270.4
1993232.2268
1992228264.7
1991233.4273.9
1990234.6275.6
1989235.7271.9
1988235.1270.3
1987236.4271.8
1986233.8271.4
1985233.6268.4
1984236268.2
1983230265.1
1982232.3269.2
1981235.9272.1
1980233.4270.2
1979234.5269.3
1978231.8268.3
1977232.3269.6
1976232266.1
1975231.3261.6
1974232.9266.6
1973232.1269.9
1972234.3266.6
1971233.1265.7
1970232.5265.4
1969231.1266
1968229.7264.6
1967231.6261.7
1966232.6263.7
1965232.5263.2
1964229.3260.3
1963233.8254.8
1962231.9266.7
1961236.2267
1960232.5268.6
1959234.7265.5
1958233.5268
1957232.5267.4
1956234.3263.3
1955230.2267.7
1954232.9267.2
1953234267.9
1952230.3268.1
1951233.5267.2
1950233.9266.5
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份孟加拉国哥伦比亚
2015241.2227–252.4280.4265.9–286.4
2016237.9226.6–249.3279.9267.9–285.6
2017239.8227.5–249.4281.7270.6–286.3
2018242.6227–255281.5271.8–286.3
2019241.2228.5–251.9281.1269.5–286.9
2020242.6229.3–254.4282.1270.6–287.9
2021244.3230.4–254.4283.2273.9–287.8
2022243.8231.5–254.2283.7273.6–288.5
2023243.5229.2–254.5282.6274.2–288.8
2024245.7231.4–257.1284.7274.7–289.8
2025242.5229.4–253.9283.5273.3–289.7
2026243.9227.9–258.1283.4272.7–289.7
2027247.1232.8–259.3283.9273.4–289.2
2028244.2232.2–254.4285275.1–290.7
2029247.3232.7–261.5285.8276–290.3
2030243.9232.3–255.2284.2273.4–289.8
2031245.1232.9–262.3285.8274.8–291.2
2032247.6236.6–257.8286.7278.3–292.6
2033245.3231.7–256.6285.7274.7–290.3
2034246.3233.2–260.4285275.8–292.8
2035246.4234.1–260.9285.9277.3–292
2036246.2228.6–260.4286276.9–291.6
2037247.7235.4–260.2287.5279.3–291.9
2038249232.1–261288279.7–292.4
2039250234.4–262.7287.6278.8–292.7
2040248.9235.5–260.5287.6279.3–294.5
2041248.3235.6–261.9288.2279.9–292.7
2042252.5237.8–265.3288.2278.3–295
2043250.8234.7–263.4287.7277.7–293.4
2044251.8239.1–265.2287.8278.5–295.1
2045250.3239.1–265.6288.8280.5–293.9
2046252.7238.9–267.8290.4281–295.5
2047253.9239.4–267.1289.9280.6–294.6
2048254.4242.7–270.5290.7281.4–296.8
2049253.7241.5–266.4290.9282–295.3
2050254.6242.5–269.2290.1280.8–296
2051254.7242.7–270.1290.6280.9–295.7
2052252.3240.2–264.6290.9281.9–296.7
2053256.9244–272.4290.5280.8–296.3
2054255.9243.5–269.4290.8281.3–297.2
2055255.2243.8–273.6291.1282.6–298
2056259.1243.6–274.7291.5281.5–298.6
2057257.5243.8–273.7291.5281.2–297.3
2058257.4245.6–274.2291.8281.7–298.9
2059258.3246.4–271.8292.8282–299.2
2060259.2246.1–272.6293.2283–300.1
2061257.7244.8–270.1292.2281.9–298.7
2062260.4246.4–274.2292.6282.4–299.7
2063259.9241.3–272.7293.6282.3–298.6
2064260.2245.9–273.1292.7282.9–299.1
2065259.8244.1–274.7293.8283.6–299.4
2066260246.6–274.6293.1283.4–299.8
2067261.4246.4–272.3292.9281.8–299.6
2068260.1245.8–274.8294.2282.5–300.6
2069263.3249.8–276.6292.9282.4–300
2070259.6245.8–272.6292.9282.8–300.8
2071262.2248.7–283.4294.2282.8–301.5
2072259.8248.6–276294.9285.1–301.9
2073264.1246.6–277.2294.9285.5–302.2
2074262.6248.3–276.6293.9283.3–300.3
2075263.6248.5–277.7294.1283.2–300.6
2076261.6251–276.9294.9284.6–302
2077264251.1–279.8295.3284.3–301.9
2078265251.6–281.6294.4285–302
2079263.8248.5–277.2294.8283.7–301.8
2080266.8251.9–280.3295.1283.4–302.8
2081266.5250.7–279.9295.1284.8–302.6
2082264249.6–277.3295.1284.9–301.3
2083266.6251.8–282.8295.4284.5–304.6
2084264.8253.1–284.2296285.1–304.4
2085265.4251.2–283.4296.6285–305
2086268.2252.8–285.3295.6284.8–303.6
2087265.7251.3–280.8295.3284.1–303.4
2088267.2252.6–284.4295.9284.5–305.5
2089267.1252.5–286.7295.6285–304.5
2090267.9254.9–283.4295.7285.8–304.6
2091267.7254.5–282.2297285–304.9
2092268.8253.6–281.7296.8286–305.7
2093268.1251.7–287296.3285.6–305.3
2094267.4251.3–287.4296.4285.8–305
2095270.8253.7–284.9297.9285.6–304.9
2096267.9250.5–285.8296285.9–307.5
2097269.3254.9–287.3296.5284.8–303.4
2098268.8252.4–284.9296.6286–307.3
2099269253–282.3297284.6–305.4
2100269.8254.8–284.9297.4286.5–305.2

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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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