尼日利亚与泰国对比

尼日利亚与泰国：热带夜

2014 年热带夜：尼日利亚为 303.9 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年尼日利亚的数值较高，高出 17.5 夜，是泰国的 1.06 倍。

在地图上查看其变化

每年夜数 · CMIP6

尼日利亚与泰国：热带夜2014 年热带夜：尼日利亚为 303.9 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年尼日利亚的数值较高，高出 17.5 夜，是泰国的 1.06 倍。
尼日利亚泰国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 年尼日利亚为 332.3 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份尼日利亚泰国
2014303.9286.4
2013299.5289.1
2012304.4286.6
2011301.5286.4
2010301.4286
2009297.8286.9
2008297.4284.8
2007298283.2
2006297.2284.3
2005295.4281.7
2004294.1287.5
2003298.4279.3
2002295.2280
2001299.1285.5
2000293.9283.4
1999290.3282.5
1998289.9282.7
1997292.5284.8
1996290279.8
1995289.1278.7
1994287.4280.8
1993284275.6
1992281.6268.8
1991289.1276.7
1990290.6279.2
1989287.2278.4
1988288279.6
1987285.6277.9
1986289.1277.5
1985284.2276
1984284.4277.9
1983281.9273.9
1982283.5275.7
1981286.4277.8
1980282.8277.9
1979283278
1978282.8276
1977285.9277.3
1976281.7275.6
1975280.4274.4
1974280.7276
1973284.3280.6
1972284.1273.9
1971279.3273.2
1970282276
1969278.7274.8
1968279.6277
1967278.1270.3
1966279.4274.4
1965279275.8
1964276.8271.9
1963275.1274.7
1962284.1275.4
1961281.9278.5
1960285.9276.2
1959282.8274.4
1958281.4278.7
1957283.3277.4
1956280.8277
1955280.4274.6
1954284.1275
1953280.4275.4
1952280.8275.1
1951284.2277.5
1950279.3276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份尼日利亚泰国
2015301.7282.9–317.3290.6272.2–305
2016301.4280.8–312.5287.1269.8–306.2
2017302.5284.3–316.3290273.8–302.8
2018302.2286.8–316.5292.6275.1–308.7
2019300.1281.2–318291.2272.8–306.7
2020303283.7–318.5292.4272.2–307.8
2021305.1287.1–318.4294.2276.3–308.5
2022305.1286–319.5294.8277.2–311.9
2023305286.4–318.9296.1281.9–310.2
2024310.6295.1–321.5291.7275.5–307.8
2025307.5292–319.4294276.7–306.3
2026306.9286.1–322.9296278–309.3
2027307.4288–321.7295.8276.3–311.1
2028310.7293.4–322.6297279.3–315.1
2029311.4293.3–324.4300.3278.7–315
2030310.6294.1–322.5297.7280.2–312.5
2031312.2295–324.8300.8282.8–317.1
2032310290–323.5297.2280.9–311.4
2033313292.9–327300281.9–315.8
2034311.7294.8–325.1300.8279–318.4
2035314.5296.7–327.7298.6281.5–317.8
2036313.5294.1–326.5300.4279.9–316.9
2037315.6297.9–327.1299.8280–315.1
2038316.9301.2–329.6304.8286.6–319.3
2039315.4299.4–328.2300.9281.9–317
2040315.6297.9–327.4301.6284.5–315.7
2041316.8300.6–330.2303.1285.1–318.8
2042316.3300.3–330.3303.8290–318.3
2043316298.4–326302285.8–317.9
2044317.9299.5–329.6304.3286.3–318.8
2045316.6300.5–330.4307.1287.7–324.2
2046317.8302.2–330.7305.9285.2–321
2047319.8301.5–333306.6289.5–321.5
2048320.1302.4–331.7309.4288.9–325.7
2049320.7305.3–331.7308.1287.2–324.1
2050320.9304–335307.5291–321.5
2051321304.1–334.2312.8294.8–326
2052320.9303.9–333.5310.9291.2–323.4
2053320.9303.3–334.1308.3289.5–323.3
2054324.5304.5–338.2308.8292.8–322.3
2055322.2308.4–333.7308.6290.6–325.1
2056324.8305.8–336.3311.3294.9–326.3
2057326310.8–337.3308.5286.7–326.4
2058322.9307.4–334.2308291.1–325.1
2059325.7308.9–339312.7295.8–325.3
2060323.8307.5–337313.1294.6–328.6
2061324.4307.1–338.2314.4289.5–331.1
2062325.7308–339.3311.4293.4–330.3
2063326.6308.7–337314.8296.9–327.3
2064326.2311–339.8312.5295.4–330
2065327.6313.5–339.4309.6293.1–329.3
2066328.4311.3–339.6312.1292.6–328
2067326308.4–340.5311.2289.6–329.4
2068329.3311.2–342.9310.8292.4–330.6
2069326.6309.9–338.1315.5296.1–329.5
2070327.4312.6–340.7314.2292.9–330.7
2071329.1313–341.1313.8296.4–330.8
2072330.3315.9–342.1314.8296–329.6
2073326.3309.5–341316.5299.9–332.1
2074326.7311.4–341.4317.2295–333.8
2075328.9314.5–341.8317.2295.3–331.4
2076329.6313.4–342317.4299.8–335
2077332.5314.4–343.3317.5297.3–335.9
2078329.8312.8–342.1315.9297.1–331.6
2079329.6313.8–340.6318.5300.5–332.3
2080331.7314.1–344.8319.8297.4–337.5
2081329.3311.6–343.7317.7299.5–334.9
2082329.3313.3–341.4317.9294.8–333
2083330.4315–342.2315297.8–332.9
2084330.5311.9–344.2316295.5–330
2085332.7316.6–343.6322.6300.8–334.7
2086331.9316.3–343.6319.4295.2–335.2
2087330.7314.9–342.4320.2302.2–334.7
2088331.7313.2–342.7321.4299.8–334.8
2089331.1318.3–341.9318.9296.4–338.1
2090332.4312.7–343.9317.6304–337.4
2091333.3311–345.8320.1299.8–336.1
2092332.7313.8–345.7316.3298–336.4
2093334.2318.6–344.9316.1297.7–333.7
2094334.2317.3–345.6323.4301.8–337.3
2095333.8319.3–346.3322.9302.4–338.9
2096332.5317.4–346.7319.6302.8–336.7
2097331.8312.6–344.6319.8299.1–336
2098332.3316–343.7320.5303.9–336
2099333316.9–344.2319.9303.1–334.4
2100332.3318.5–345320.8301.1–336.7

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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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