尼日利亚与新加坡对比

尼日利亚与新加坡:热带夜

2014 年热带夜:尼日利亚为 303.9 夜,新加坡为 365 夜(CMIP6 气候模型中位数模拟)。 2014 年新加坡的数值较高,高出 61.1 夜,是尼日利亚的 1.2 倍。

每年夜数 · CMIP6

尼日利亚与新加坡:热带夜2014 年热带夜:尼日利亚为 303.9 夜,新加坡为 365 夜(CMIP6 气候模型中位数模拟)。 2014 年新加坡的数值较高,高出 61.1 夜,是尼日利亚的 1.2 倍。
尼日利亚新加坡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,新加坡的数值都更高。
  • 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,新加坡为 365 夜。

逐年数据

每年夜数 · CMIP6

年份尼日利亚新加坡
2014303.9365
2013299.5365
2012304.4365
2011301.5365
2010301.4365
2009297.8365
2008297.4365
2007298365
2006297.2365
2005295.4365
2004294.1365
2003298.4365
2002295.2365
2001299.1365
2000293.9365
1999290.3365
1998289.9365
1997292.5365
1996290365
1995289.1365
1994287.4365
1993284365
1992281.6365
1991289.1365
1990290.6365
1989287.2365
1988288365
1987285.6365
1986289.1365
1985284.2365
1984284.4365
1983281.9365
1982283.5365
1981286.4365
1980282.8365
1979283365
1978282.8365
1977285.9365
1976281.7365
1975280.4365
1974280.7365
1973284.3365
1972284.1365
1971279.3365
1970282365
1969278.7365
1968279.6365
1967278.1365
1966279.4365
1965279365
1964276.8365
1963275.1365
1962284.1365
1961281.9365
1960285.9365
1959282.8365
1958281.4365
1957283.3365
1956280.8365
1955280.4365
1954284.1365
1953280.4365
1952280.8365
1951284.2365
1950279.3365
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份尼日利亚新加坡
2015301.7282.9–317.3365360–365
2016301.4280.8–312.5365360–366
2017302.5284.3–316.3365360–365
2018302.2286.8–316.5365360–365
2019300.1281.2–318365360–365
2020303283.7–318.5365360–366
2021305.1287.1–318.4365360–365
2022305.1286–319.5365360–365
2023305286.4–318.9365360–365
2024310.6295.1–321.5365360–366
2025307.5292–319.4365360–365
2026306.9286.1–322.9365360–365
2027307.4288–321.7365360–365
2028310.7293.4–322.6365360–366
2029311.4293.3–324.4365360–365
2030310.6294.1–322.5365360–365
2031312.2295–324.8365360–365
2032310290–323.5365360–366
2033313292.9–327365360–365
2034311.7294.8–325.1365360–365
2035314.5296.7–327.7365360–365
2036313.5294.1–326.5365360–366
2037315.6297.9–327.1365360–365
2038316.9301.2–329.6365360–365
2039315.4299.4–328.2365360–365
2040315.6297.9–327.4365360–366
2041316.8300.6–330.2365360–365
2042316.3300.3–330.3365360–365
2043316298.4–326365360–365
2044317.9299.5–329.6365360–366
2045316.6300.5–330.4365360–365
2046317.8302.2–330.7365360–365
2047319.8301.5–333365360–365
2048320.1302.4–331.7365360–366
2049320.7305.3–331.7365360–365
2050320.9304–335365360–365
2051321304.1–334.2365360–365
2052320.9303.9–333.5365360–366
2053320.9303.3–334.1365360–365
2054324.5304.5–338.2365360–365
2055322.2308.4–333.7365360–365
2056324.8305.8–336.3365360–366
2057326310.8–337.3365360–365
2058322.9307.4–334.2365360–365
2059325.7308.9–339365360–365
2060323.8307.5–337365360–366
2061324.4307.1–338.2365360–365
2062325.7308–339.3365360–365
2063326.6308.7–337365360–365
2064326.2311–339.8365360–366
2065327.6313.5–339.4365360–365
2066328.4311.3–339.6365360–365
2067326308.4–340.5365360–365
2068329.3311.2–342.9365360–366
2069326.6309.9–338.1365360–365
2070327.4312.6–340.7365360–365
2071329.1313–341.1365360–365
2072330.3315.9–342.1365360–366
2073326.3309.5–341365360–365
2074326.7311.4–341.4365360–365
2075328.9314.5–341.8365360–365
2076329.6313.4–342365360–366
2077332.5314.4–343.3365360–365
2078329.8312.8–342.1365360–365
2079329.6313.8–340.6365360–365
2080331.7314.1–344.8365360–366
2081329.3311.6–343.7365360–365
2082329.3313.3–341.4365360–365
2083330.4315–342.2365360–365
2084330.5311.9–344.2365360–366
2085332.7316.6–343.6365360–365
2086331.9316.3–343.6365360–365
2087330.7314.9–342.4365360–365
2088331.7313.2–342.7365360–366
2089331.1318.3–341.9365360–365
2090332.4312.7–343.9365360–365
2091333.3311–345.8365360–365
2092332.7313.8–345.7365360–366
2093334.2318.6–344.9365360–365
2094334.2317.3–345.6365360–365
2095333.8319.3–346.3365360–365
2096332.5317.4–346.7365360–366
2097331.8312.6–344.6365360–365
2098332.3316–343.7365360–365
2099333316.9–344.2365360–365
2100332.3318.5–345365360–365

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

尼日利亚与新加坡对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境