印度尼西亚与新加坡对比

印度尼西亚与新加坡:热带夜

2014 年热带夜:印度尼西亚为 306.5 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 58.5 夜,是印度尼西亚的 1.19 倍。

每年夜数 · CMIP6

印度尼西亚与新加坡:热带夜2014 年热带夜:印度尼西亚为 306.5 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 58.5 夜,是印度尼西亚的 1.19 倍。
印度尼西亚新加坡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 年印度尼西亚为 334.7 夜,新加坡为 365 夜。

逐年数据

每年夜数 · CMIP6

年份印度尼西亚新加坡
2014306.5365
2013306.4365
2012306.3365
2011304.6365
2010305.6365
2009303.9365
2008303.4365
2007302.8365
2006302.8365
2005303.1365
2004303.8365
2003301.9365
2002301.5365
2001302.5365
2000300.9365
1999300.4365
1998299.1365
1997297.9365
1996296.9365
1995296.7365
1994294.6365
1993291.6365
1992288.5365
1991297.5365
1990298.6365
1989296365
1988296.5365
1987295.6365
1986295.8365
1985292.8365
1984293.4365
1983290.1365
1982294.4365
1981294.8365
1980294.5365
1979294.1365
1978292.4365
1977293.4365
1976290.8365
1975290.7365
1974291.5365
1973293365
1972290.7365
1971291.2365
1970288.9365
1969290.4365
1968289.1365
1967288.4365
1966290.5365
1965288.1365
1964286.2365
1963286.4365
1962291.2365
1961292.9365
1960292.8365
1959291.9365
1958293.3365
1957290.8365
1956291.5365
1955292.4365
1954290365
1953291.4365
1952291.7365
1951291.7365
1950291.8365
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份印度尼西亚新加坡
2015308295.7–315.1365360–365
2016307.5296.9–315.6365360–366
2017308.4295.5–315.6365360–365
2018308.9296.4–316.6365360–365
2019309.9297.8–316.7365360–365
2020310.9299–318.6365360–366
2021310.4298.7–316.4365360–365
2022311.4300–319.6365360–365
2023311.4300.1–320.6365360–365
2024313.2302–321.2365360–366
2025312300.2–321.9365360–365
2026312.6299.9–322.8365360–365
2027312.7301–321.6365360–365
2028313.8302.4–321.9365360–366
2029315.5303.9–324.1365360–365
2030314.2303.1–322.6365360–365
2031314.4301.6–321.9365360–365
2032316.9304.8–325.8365360–366
2033316.6305.4–323.3365360–365
2034315.4303.9–323.9365360–365
2035316.3305.6–327.9365360–365
2036317.7305.2–326.2365360–366
2037318.1306.6–325.2365360–365
2038319.3307.6–326.7365360–365
2039319.4307.7–326.7365360–365
2040318.5306.5–329365360–366
2041320.2308.3–328365360–365
2042320308.7–329.2365360–365
2043318.6306.6–327.8365360–365
2044321309–329.6365360–366
2045320.8308.6–329.8365360–365
2046322.8308.8–331365360–365
2047323.2308.8–333365360–365
2048322.3310.5–332.3365360–366
2049323.8311.6–334.1365360–365
2050323.3310.3–333.5365360–365
2051323.6311.2–334.4365360–365
2052325.1311.7–334.7365360–366
2053323.9310.9–333.8365360–365
2054324.4311.9–335.4365360–365
2055325.3312.6–335365360–365
2056325.9312.4–337.2365360–366
2057326.9311.9–335.2365360–365
2058326.4313–336.3365360–365
2059326.4313.9–337.8365360–365
2060329.5314.9–338.2365360–366
2061327.9313.6–336.9365360–365
2062327.6312.4–339.1365360–365
2063327.6313.9–339.4365360–365
2064328.8314.4–338.6365360–366
2065327.6314.3–337.9365360–365
2066328.6314.7–338.5365360–365
2067328.8314.3–338365360–365
2068329.8314.4–339.9365360–366
2069329.5315.5–339.3365360–365
2070328.6315.1–338.8365360–365
2071331.4315.5–340.4365360–365
2072330.3315.9–339.4365360–366
2073331.4317.7–341365360–365
2074329.9316.8–341.1365360–365
2075330.5315.2–340.2365360–365
2076331.5316.2–341.2365360–366
2077332315.9–341.8365360–365
2078331.4318.2–340.9365360–365
2079331.5316.6–341.5365360–365
2080332.4317.4–343.2365360–366
2081332.3318.4–341.8365360–365
2082332.8317.8–340.4365360–365
2083333.1318.7–342.6365360–365
2084333317.8–342.7365360–366
2085332.6318.1–342.7365360–365
2086333.1318.9–342.3365360–365
2087332.6318–343.2365360–365
2088334.5319.5–343.1365360–366
2089333.6319–342.6365360–365
2090333.3319.6–343.3365360–365
2091334.5318.2–343.9365360–365
2092335.1319.7–343.6365360–366
2093333.9320–344.9365360–365
2094335.6320.4–342.8365360–365
2095335.4319.7–343365360–365
2096334.3319.4–346.1365360–366
2097334.2319.5–343.3365360–365
2098334.9319.4–343.4365360–365
2099334.4319.4–344.6365360–365
2100334.7318.7–343.3365360–365

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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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印度尼西亚与新加坡对比

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