尼日利亚与越南对比

尼日利亚与越南:热带夜

2014 年热带夜:尼日利亚为 303.9 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 61.3 夜,是越南的 1.25 倍。

每年夜数 · CMIP6

尼日利亚与越南:热带夜2014 年热带夜:尼日利亚为 303.9 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 61.3 夜,是越南的 1.25 倍。
尼日利亚越南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,越南为 282.7 夜。

逐年数据

每年夜数 · CMIP6

年份尼日利亚越南
2014303.9242.6
2013299.5243.6
2012304.4242.4
2011301.5241.9
2010301.4240.9
2009297.8240
2008297.4238.7
2007298238
2006297.2239.1
2005295.4238.3
2004294.1241.8
2003298.4235.9
2002295.2236.3
2001299.1241.3
2000293.9237
1999290.3236
1998289.9236.8
1997292.5237.1
1996290231.4
1995289.1229.9
1994287.4231.2
1993284225.3
1992281.6221.9
1991289.1229.8
1990290.6233.1
1989287.2229.2
1988288231.7
1987285.6230.3
1986289.1230.9
1985284.2228
1984284.4230.2
1983281.9224.9
1982283.5227.5
1981286.4229.7
1980282.8228.1
1979283228.9
1978282.8227.5
1977285.9229
1976281.7225.8
1975280.4225.8
1974280.7225.7
1973284.3230.3
1972284.1225.6
1971279.3225.5
1970282226.1
1969278.7227
1968279.6227.1
1967278.1222.9
1966279.4226.8
1965279225.4
1964276.8222.6
1963275.1224.3
1962284.1227.8
1961281.9229.4
1960285.9228.5
1959282.8226.2
1958281.4230.9
1957283.3228.4
1956280.8228.7
1955280.4227.5
1954284.1226.3
1953280.4228.2
1952280.8228.5
1951284.2229.2
1950279.3228.9
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份尼日利亚越南
2015301.7282.9–317.3245.8228.2–261.9
2016301.4280.8–312.5243.7226.1–259.4
2017302.5284.3–316.3247229.6–260.7
2018302.2286.8–316.5248.3228.8–263.3
2019300.1281.2–318248.1229.2–262.8
2020303283.7–318.5248.8229.6–262.9
2021305.1287.1–318.4251.1233.1–266.7
2022305.1286–319.5252.4234.3–266.8
2023305286.4–318.9253.4235.4–266.6
2024310.6295.1–321.5251.3236.7–264.6
2025307.5292–319.4252.4234.1–266.2
2026306.9286.1–322.9252.8232.9–268.5
2027307.4288–321.7253.2237–268.8
2028310.7293.4–322.6254.3237.7–272
2029311.4293.3–324.4258.1238.5–273.7
2030310.6294.1–322.5256.4240.9–270.1
2031312.2295–324.8255.9241.2–270.9
2032310290–323.5257.4239.1–269.9
2033313292.9–327258.3241.7–273.2
2034311.7294.8–325.1258.8240.7–275.8
2035314.5296.7–327.7258.6242.5–275.4
2036313.5294.1–326.5258.3239.1–273.8
2037315.6297.9–327.1258.7242.4–272.4
2038316.9301.2–329.6263.4247.6–277.3
2039315.4299.4–328.2260.2243.7–275.9
2040315.6297.9–327.4260.1242.8–274.8
2041316.8300.6–330.2263.1245.9–279
2042316.3300.3–330.3263.6246.5–279
2043316298.4–326261.4245.5–279.6
2044317.9299.5–329.6263.2245.2–277.6
2045316.6300.5–330.4265.5249.6–281.4
2046317.8302.2–330.7264.9246.8–278.1
2047319.8301.5–333266.9250.4–282.9
2048320.1302.4–331.7268250.5–283.8
2049320.7305.3–331.7267.8251.2–284.8
2050320.9304–335268251.2–283.5
2051321304.1–334.2270.9254.3–285.4
2052320.9303.9–333.5268.3253.3–282.8
2053320.9303.3–334.1268.5250.1–283.2
2054324.5304.5–338.2269.1250.8–283.6
2055322.2308.4–333.7270249.8–284.2
2056324.8305.8–336.3271.7254.8–290.1
2057326310.8–337.3270253–285.7
2058322.9307.4–334.2270.7252.9–286.5
2059325.7308.9–339273257.6–286.6
2060323.8307.5–337275.7255.6–290.6
2061324.4307.1–338.2273.5254.6–289.5
2062325.7308–339.3271.4253.1–290.2
2063326.6308.7–337272.9252.7–288.1
2064326.2311–339.8273.8254.4–288.1
2065327.6313.5–339.4272255.8–286.3
2066328.4311.3–339.6271.8254.4–287.3
2067326308.4–340.5270.8252.1–287.6
2068329.3311.2–342.9275.6256.9–292.4
2069326.6309.9–338.1276.4258.5–292
2070327.4312.6–340.7274.6257.8–292.8
2071329.1313–341.1276.2255.2–294.1
2072330.3315.9–342.1277256.8–291.4
2073326.3309.5–341278.5262.7–293.4
2074326.7311.4–341.4277.6259.2–295.8
2075328.9314.5–341.8276.4258.7–294.4
2076329.6313.4–342279.2258.5–296.6
2077332.5314.4–343.3280264.9–294.7
2078329.8312.8–342.1278.4258.6–295.5
2079329.6313.8–340.6279.3263.4–293.6
2080331.7314.1–344.8280261.4–296.5
2081329.3311.6–343.7280.4261.2–297.9
2082329.3313.3–341.4280.9258.9–296
2083330.4315–342.2278.4261.6–295
2084330.5311.9–344.2279257.4–293.8
2085332.7316.6–343.6281.3265–297.8
2086331.9316.3–343.6282.3260.2–297.5
2087330.7314.9–342.4281.9261.3–300.7
2088331.7313.2–342.7283.1265.7–301.5
2089331.1318.3–341.9280.8261.2–301.6
2090332.4312.7–343.9280.5264.5–297.6
2091333.3311–345.8283.3264.3–298.9
2092332.7313.8–345.7281.1261.5–299.4
2093334.2318.6–344.9280.5263.4–296.1
2094334.2317.3–345.6283264.5–300
2095333.8319.3–346.3285.5264.5–302.9
2096332.5317.4–346.7281.8264.8–299.8
2097331.8312.6–344.6281.5263.3–299
2098332.3316–343.7282.5263.9–301.5
2099333316.9–344.2282.7265.1–298
2100332.3318.5–345282.7261–298.2

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

尼日利亚与越南对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境