孟加拉国与尼日利亚对比

孟加拉国与尼日利亚:热带夜

2014 年热带夜:孟加拉国为 239.9 夜,尼日利亚为 303.9 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 64 夜,是孟加拉国的 1.27 倍。

每年夜数 · CMIP6

孟加拉国与尼日利亚:热带夜2014 年热带夜:孟加拉国为 239.9 夜,尼日利亚为 303.9 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 64 夜,是孟加拉国的 1.27 倍。
孟加拉国尼日利亚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,尼日利亚的数值都更高。
  • 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,尼日利亚为 332.3 夜。

逐年数据

每年夜数 · CMIP6

年份孟加拉国尼日利亚
2014239.9303.9
2013239299.5
2012240.4304.4
2011240.5301.5
2010241301.4
2009238.6297.8
2008236.7297.4
2007236.9298
2006238.9297.2
2005238.2295.4
2004238.7294.1
2003236.5298.4
2002237.6295.2
2001237.2299.1
2000239.3293.9
1999236.6290.3
1998235.5289.9
1997235.5292.5
1996235.5290
1995234.8289.1
1994233.6287.4
1993232.2284
1992228281.6
1991233.4289.1
1990234.6290.6
1989235.7287.2
1988235.1288
1987236.4285.6
1986233.8289.1
1985233.6284.2
1984236284.4
1983230281.9
1982232.3283.5
1981235.9286.4
1980233.4282.8
1979234.5283
1978231.8282.8
1977232.3285.9
1976232281.7
1975231.3280.4
1974232.9280.7
1973232.1284.3
1972234.3284.1
1971233.1279.3
1970232.5282
1969231.1278.7
1968229.7279.6
1967231.6278.1
1966232.6279.4
1965232.5279
1964229.3276.8
1963233.8275.1
1962231.9284.1
1961236.2281.9
1960232.5285.9
1959234.7282.8
1958233.5281.4
1957232.5283.3
1956234.3280.8
1955230.2280.4
1954232.9284.1
1953234280.4
1952230.3280.8
1951233.5284.2
1950233.9279.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份孟加拉国尼日利亚
2015241.2227–252.4301.7282.9–317.3
2016237.9226.6–249.3301.4280.8–312.5
2017239.8227.5–249.4302.5284.3–316.3
2018242.6227–255302.2286.8–316.5
2019241.2228.5–251.9300.1281.2–318
2020242.6229.3–254.4303283.7–318.5
2021244.3230.4–254.4305.1287.1–318.4
2022243.8231.5–254.2305.1286–319.5
2023243.5229.2–254.5305286.4–318.9
2024245.7231.4–257.1310.6295.1–321.5
2025242.5229.4–253.9307.5292–319.4
2026243.9227.9–258.1306.9286.1–322.9
2027247.1232.8–259.3307.4288–321.7
2028244.2232.2–254.4310.7293.4–322.6
2029247.3232.7–261.5311.4293.3–324.4
2030243.9232.3–255.2310.6294.1–322.5
2031245.1232.9–262.3312.2295–324.8
2032247.6236.6–257.8310290–323.5
2033245.3231.7–256.6313292.9–327
2034246.3233.2–260.4311.7294.8–325.1
2035246.4234.1–260.9314.5296.7–327.7
2036246.2228.6–260.4313.5294.1–326.5
2037247.7235.4–260.2315.6297.9–327.1
2038249232.1–261316.9301.2–329.6
2039250234.4–262.7315.4299.4–328.2
2040248.9235.5–260.5315.6297.9–327.4
2041248.3235.6–261.9316.8300.6–330.2
2042252.5237.8–265.3316.3300.3–330.3
2043250.8234.7–263.4316298.4–326
2044251.8239.1–265.2317.9299.5–329.6
2045250.3239.1–265.6316.6300.5–330.4
2046252.7238.9–267.8317.8302.2–330.7
2047253.9239.4–267.1319.8301.5–333
2048254.4242.7–270.5320.1302.4–331.7
2049253.7241.5–266.4320.7305.3–331.7
2050254.6242.5–269.2320.9304–335
2051254.7242.7–270.1321304.1–334.2
2052252.3240.2–264.6320.9303.9–333.5
2053256.9244–272.4320.9303.3–334.1
2054255.9243.5–269.4324.5304.5–338.2
2055255.2243.8–273.6322.2308.4–333.7
2056259.1243.6–274.7324.8305.8–336.3
2057257.5243.8–273.7326310.8–337.3
2058257.4245.6–274.2322.9307.4–334.2
2059258.3246.4–271.8325.7308.9–339
2060259.2246.1–272.6323.8307.5–337
2061257.7244.8–270.1324.4307.1–338.2
2062260.4246.4–274.2325.7308–339.3
2063259.9241.3–272.7326.6308.7–337
2064260.2245.9–273.1326.2311–339.8
2065259.8244.1–274.7327.6313.5–339.4
2066260246.6–274.6328.4311.3–339.6
2067261.4246.4–272.3326308.4–340.5
2068260.1245.8–274.8329.3311.2–342.9
2069263.3249.8–276.6326.6309.9–338.1
2070259.6245.8–272.6327.4312.6–340.7
2071262.2248.7–283.4329.1313–341.1
2072259.8248.6–276330.3315.9–342.1
2073264.1246.6–277.2326.3309.5–341
2074262.6248.3–276.6326.7311.4–341.4
2075263.6248.5–277.7328.9314.5–341.8
2076261.6251–276.9329.6313.4–342
2077264251.1–279.8332.5314.4–343.3
2078265251.6–281.6329.8312.8–342.1
2079263.8248.5–277.2329.6313.8–340.6
2080266.8251.9–280.3331.7314.1–344.8
2081266.5250.7–279.9329.3311.6–343.7
2082264249.6–277.3329.3313.3–341.4
2083266.6251.8–282.8330.4315–342.2
2084264.8253.1–284.2330.5311.9–344.2
2085265.4251.2–283.4332.7316.6–343.6
2086268.2252.8–285.3331.9316.3–343.6
2087265.7251.3–280.8330.7314.9–342.4
2088267.2252.6–284.4331.7313.2–342.7
2089267.1252.5–286.7331.1318.3–341.9
2090267.9254.9–283.4332.4312.7–343.9
2091267.7254.5–282.2333.3311–345.8
2092268.8253.6–281.7332.7313.8–345.7
2093268.1251.7–287334.2318.6–344.9
2094267.4251.3–287.4334.2317.3–345.6
2095270.8253.7–284.9333.8319.3–346.3
2096267.9250.5–285.8332.5317.4–346.7
2097269.3254.9–287.3331.8312.6–344.6
2098268.8252.4–284.9332.3316–343.7
2099269253–282.3333316.9–344.2
2100269.8254.8–284.9332.3318.5–345

分别查看各国

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

孟加拉国与尼日利亚对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境