印度尼西亚与韩国对比

印度尼西亚与韩国:热带夜

2014 年热带夜:印度尼西亚为 306.5 夜,韩国为 68.9 夜(CMIP6 气候模型中位数模拟)。 2014 年印度尼西亚的数值较高,高出 237.6 夜,是韩国的 4.45 倍。

每年夜数 · CMIP6

印度尼西亚与韩国:热带夜2014 年热带夜:印度尼西亚为 306.5 夜,韩国为 68.9 夜(CMIP6 气候模型中位数模拟)。 2014 年印度尼西亚的数值较高,高出 237.6 夜,是韩国的 4.45 倍。
印度尼西亚韩国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,印度尼西亚的数值都更高。
  • 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,韩国为 96.3 夜。

逐年数据

每年夜数 · CMIP6

年份印度尼西亚韩国
2014306.568.9
2013306.469.7
2012306.367.7
2011304.665.3
2010305.668.3
2009303.965.8
2008303.463.7
2007302.864.2
2006302.864.8
2005303.165.1
2004303.866.8
2003301.963.2
2002301.563.3
2001302.563.4
2000300.961.7
1999300.464.2
1998299.160.7
1997297.960.4
1996296.961.2
1995296.755.2
1994294.654.8
1993291.649.2
1992288.550.7
1991297.556.9
1990298.658.8
198929658.7
1988296.555.6
1987295.652.6
1986295.851.4
1985292.853.1
1984293.450.4
1983290.146.8
1982294.454
1981294.853.9
1980294.551.6
1979294.152.6
1978292.456.4
1977293.451.8
1976290.852.8
1975290.754.6
1974291.552.7
197329350.4
1972290.751.8
1971291.249.7
1970288.950.4
1969290.455.2
1968289.151.7
1967288.457.3
1966290.552.9
1965288.152.8
1964286.252.2
1963286.457.9
1962291.253.3
1961292.958.2
1960292.855.2
1959291.954.8
1958293.356
1957290.855.8
1956291.559.1
1955292.455.7
195429054
1953291.455.4
1952291.757
1951291.754.7
1950291.859.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份印度尼西亚韩国
2015308295.7–315.168.656.8–82
2016307.5296.9–315.670.353.5–81.8
2017308.4295.5–315.670.559.5–82.9
2018308.9296.4–316.669.156.9–81.2
2019309.9297.8–316.774.663.1–84.4
2020310.9299–318.67157.6–83
2021310.4298.7–316.470.252.7–84.1
2022311.4300–319.672.563–81.2
2023311.4300.1–320.674.563.2–84.2
2024313.2302–321.273.558.6–87.1
2025312300.2–321.975.762.3–87.1
2026312.6299.9–322.87564–88.4
2027312.7301–321.674.163.4–88.9
2028313.8302.4–321.977.361.5–87.9
2029315.5303.9–324.175.463.1–86.7
2030314.2303.1–322.675.364.5–87.6
2031314.4301.6–321.976.763.6–87.3
2032316.9304.8–325.876.761–89.2
2033316.6305.4–323.378.860–92.7
2034315.4303.9–323.977.264.7–87.2
2035316.3305.6–327.98168.9–92.1
2036317.7305.2–326.281.964.1–95
2037318.1306.6–325.278.465.8–89.3
2038319.3307.6–326.778.866.9–89.4
2039319.4307.7–326.777.564.7–89.2
2040318.5306.5–32980.567.4–92.7
2041320.2308.3–32880.966.4–97.7
2042320308.7–329.282.469.1–95
2043318.6306.6–327.883.268.5–97.9
2044321309–329.683.169.3–91.6
2045320.8308.6–329.88170.4–92.2
2046322.8308.8–3318668.3–95.2
2047323.2308.8–33383.469.7–96.7
2048322.3310.5–332.382.769.2–95.2
2049323.8311.6–334.181.669–96.8
2050323.3310.3–333.581.569.8–93.8
2051323.6311.2–334.484.572.7–98.8
2052325.1311.7–334.783.167.8–98.5
2053323.9310.9–333.886.969.8–98.1
2054324.4311.9–335.484.773.3–97.5
2055325.3312.6–33586.570.8–101.3
2056325.9312.4–337.285.874.5–99.8
2057326.9311.9–335.287.976.1–100.7
2058326.4313–336.386.275.2–99.4
2059326.4313.9–337.886.766.9–100.4
2060329.5314.9–338.286.371.9–101.9
2061327.9313.6–336.98974.8–99.5
2062327.6312.4–339.187.772.3–102.2
2063327.6313.9–339.486.774.6–101.2
2064328.8314.4–338.686.673.6–100.3
2065327.6314.3–337.991.575.3–102.2
2066328.6314.7–338.589.272.6–100.5
2067328.8314.3–33890.372.7–102.6
2068329.8314.4–339.990.473.8–106.4
2069329.5315.5–339.39174.5–102.5
2070328.6315.1–338.889.774.6–107
2071331.4315.5–340.492.674.9–107.9
2072330.3315.9–339.490.976.6–103.9
2073331.4317.7–34191.376.2–104
2074329.9316.8–341.191.974.6–107
2075330.5315.2–340.294.576.4–103.7
2076331.5316.2–341.293.477.5–105.6
2077332315.9–341.895.776.3–107.2
2078331.4318.2–340.993.576.9–110.5
2079331.5316.6–341.591.179.2–105.7
2080332.4317.4–343.292.481.7–107.1
2081332.3318.4–341.893.878–108.8
2082332.8317.8–340.496.279.9–110.1
2083333.1318.7–342.694.481.1–108
2084333317.8–342.791.574.4–107.3
2085332.6318.1–342.79481.4–107.4
2086333.1318.9–342.393.678.5–111.5
2087332.6318–343.294.480.9–113.5
2088334.5319.5–343.193.779.8–108.5
2089333.6319–342.694.478.9–107
2090333.3319.6–343.397.979.5–109
2091334.5318.2–343.995.280.6–107.7
2092335.1319.7–343.69580–106.3
2093333.9320–344.995.379.5–109.9
2094335.6320.4–342.892.279.8–111
2095335.4319.7–34394.884–112.2
2096334.3319.4–346.1100.481–113.2
2097334.2319.5–343.397.278.6–108.8
2098334.9319.4–343.497.479.9–110.4
2099334.4319.4–344.695.879.9–109.3
2100334.7318.7–343.396.381.6–113.8

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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。

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

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