缅甸与尼日利亚对比

缅甸与尼日利亚：热带夜

2014 年热带夜：缅甸为 201.9 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 102 夜，是缅甸的 1.51 倍。

在地图上查看其变化

每年夜数 · CMIP6

缅甸与尼日利亚：热带夜2014 年热带夜：缅甸为 201.9 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 102 夜，是缅甸的 1.51 倍。
缅甸尼日利亚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 年缅甸为 244.5 夜，尼日利亚为 332.3 夜。

逐年数据

每年夜数 · CMIP6

年份缅甸尼日利亚
2014201.9303.9
2013203.1299.5
2012201.1304.4
2011200.9301.5
2010202.1301.4
2009199297.8
2008198.1297.4
2007196.8298
2006198.2297.2
2005196.7295.4
2004200.3294.1
2003195.3298.4
2002196.6295.2
2001199299.1
2000197.2293.9
1999196.4290.3
1998194.7289.9
1997194.4292.5
1996191.4290
1995189.9289.1
1994188.8287.4
1993185284
1992180.5281.6
1991191.7289.1
1990191.5290.6
1989190.3287.2
1988190.7288
1987190.8285.6
1986189.7289.1
1985187.4284.2
1984189.1284.4
1983182.3281.9
1982186.7283.5
1981188.4286.4
1980189282.8
1979189.8283
1978186.8282.8
1977187.4285.9
1976185.8281.7
1975183.6280.4
1974185.5280.7
1973187.5284.3
1972184.8284.1
1971185.2279.3
1970184.9282
1969184.3278.7
1968183.7279.6
1967182.3278.1
1966186.2279.4
1965182.9279
1964180.6276.8
1963183.1275.1
1962187.3284.1
1961188.7281.9
1960187.1285.9
1959186.5282.8
1958187.1281.4
1957186.2283.3
1956187.9280.8
1955185.9280.4
1954185.7284.1
1953185280.4
1952186.1280.8
1951187.1284.2
1950186.9279.3
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份缅甸尼日利亚
2015205.2186.4–218.9301.7282.9–317.3
2016202.8186.2–218.8301.4280.8–312.5
2017203.4187.3–218.3302.5284.3–316.3
2018205.5190.9–219.9302.2286.8–316.5
2019205.2186.7–222.2300.1281.2–318
2020208.2188.5–223.5303283.7–318.5
2021208.9191.2–224.1305.1287.1–318.4
2022209.9192.7–224.9305.1286–319.5
2023210.6195.4–226.3305286.4–318.9
2024210.4193.8–226.6310.6295.1–321.5
2025209.9190.3–225.2307.5292–319.4
2026212.2194.3–229.2306.9286.1–322.9
2027212195.6–228.6307.4288–321.7
2028213195.7–227.2310.7293.4–322.6
2029215.3193.9–231.9311.4293.3–324.4
2030212.2194.9–228310.6294.1–322.5
2031214.3197.2–230.8312.2295–324.8
2032215199.3–229.6310290–323.5
2033215.5198.5–230.1313292.9–327
2034214.9198.4–233.5311.7294.8–325.1
2035214.9199.2–236.8314.5296.7–327.7
2036216198.7–234.5313.5294.1–326.5
2037217.2199.6–233.5315.6297.9–327.1
2038220.7204.8–235.1316.9301.2–329.6
2039219.7202.4–234.3315.4299.4–328.2
2040219.2202.9–235315.6297.9–327.4
2041220.7203.9–237.7316.8300.6–330.2
2042221.8206.1–237.2316.3300.3–330.3
2043219.5201.2–237.1316298.4–326
2044221.4201.6–239.6317.9299.5–329.6
2045223.7204.8–241.5316.6300.5–330.4
2046223.2203.2–240.2317.8302.2–330.7
2047224.3204.8–241.1319.8301.5–333
2048226.4207.7–243.8320.1302.4–331.7
2049226.5205.6–242.8320.7305.3–331.7
2050227209.3–243.5320.9304–335
2051229.6212.4–246.4321304.1–334.2
2052227.2208.6–244.2320.9303.9–333.5
2053227.9208.7–247.7320.9303.3–334.1
2054227.9209.6–244.8324.5304.5–338.2
2055229.1209.8–247.5322.2308.4–333.7
2056231.8210.4–252.1324.8305.8–336.3
2057228.6208–249326310.8–337.3
2058228.9208.8–249322.9307.4–334.2
2059230.7212.1–247.5325.7308.9–339
2060234.7211.1–251.5323.8307.5–337
2061231.9213–247.7324.4307.1–338.2
2062233.6209.9–252.8325.7308–339.3
2063233215.4–250.5326.6308.7–337
2064233.2214.4–251.3326.2311–339.8
2065230.7210.4–250.7327.6313.5–339.4
2066233.5214.3–251.2328.4311.3–339.6
2067233211.5–253.3326308.4–340.5
2068233.1212.4–253.7329.3311.2–342.9
2069236.1214.6–253.4326.6309.9–338.1
2070235.9218.1–253.4327.4312.6–340.7
2071235.1213.5–259.6329.1313–341.1
2072234.6216.1–252.6330.3315.9–342.1
2073237.2219.3–257.2326.3309.5–341
2074236.4215.7–254.5326.7311.4–341.4
2075236.7214.4–255.9328.9314.5–341.8
2076237.7216–257329.6313.4–342
2077237.5219–258.7332.5314.4–343.3
2078238.5217.3–257.8329.8312.8–342.1
2079238.5219.2–257.2329.6313.8–340.6
2080240.5218.8–258.3331.7314.1–344.8
2081240219.7–260.9329.3311.6–343.7
2082239.4217.1–258.8329.3313.3–341.4
2083239.1220.5–259.2330.4315–342.2
2084241.3218.9–260.6330.5311.9–344.2
2085241.7218.8–260.7332.7316.6–343.6
2086241.7217.4–262.7331.9316.3–343.6
2087241.4220.5–260.9330.7314.9–342.4
2088241.8222.3–261.5331.7313.2–342.7
2089240.7221.2–262.6331.1318.3–341.9
2090241.3224.4–260.9332.4312.7–343.9
2091242.6220.3–262.5333.3311–345.8
2092241.9221.6–263.3332.7313.8–345.7
2093242.1220.2–260334.2318.6–344.9
2094242.5222.5–261.9334.2317.3–345.6
2095244.9224–264.4333.8319.3–346.3
2096243.9221.1–266.5332.5317.4–346.7
2097243.6219.6–264.2331.8312.6–344.6
2098243.6222.5–263.9332.3316–343.7
2099244.7221.8–263.5333316.9–344.2
2100244.5223.2–261.8332.3318.5–345

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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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