印度尼西亚与伊朗对比

印度尼西亚与伊朗：热带夜

2014 年热带夜：印度尼西亚为 306.5 夜，伊朗为 90.8 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 215.7 夜，是伊朗的 3.37 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度尼西亚与伊朗：热带夜2014 年热带夜：印度尼西亚为 306.5 夜，伊朗为 90.8 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 215.7 夜，是伊朗的 3.37 倍。
印度尼西亚伊朗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，伊朗为 124.4 夜。

逐年数据

每年夜数 · CMIP6

年份印度尼西亚伊朗
2014306.590.8
2013306.490.6
2012306.390.3
2011304.689.8
2010305.687
2009303.987.2
2008303.488
2007302.887.9
2006302.888.2
2005303.187.1
2004303.886.4
2003301.985.9
2002301.587.7
2001302.586.6
2000300.986.5
1999300.485.1
1998299.183.8
1997297.984.3
1996296.982.4
1995296.781.6
1994294.680.6
1993291.677.7
1992288.577
1991297.581.9
1990298.683.1
198929681.7
1988296.580.4
1987295.679.8
1986295.880.1
1985292.879.7
1984293.478.8
1983290.175.5
1982294.477.9
1981294.880.2
1980294.579.4
1979294.180.2
1978292.478.1
1977293.477.8
1976290.877.2
1975290.776.6
1974291.576.4
197329376.9
1972290.777.4
1971291.275
1970288.975.3
1969290.475.6
1968289.176.3
1967288.476.1
1966290.575.5
1965288.175.3
1964286.275.3
1963286.476.4
1962291.277.5
1961292.977.7
1960292.877.6
1959291.976.8
1958293.378.4
1957290.878.2
1956291.576.2
1955292.476.5
195429077.6
1953291.477.3
1952291.778.2
1951291.776.6
1950291.877.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度尼西亚伊朗
2015308295.7–315.194.482.7–106
2016307.5296.9–315.694.183.1–105.3
2017308.4295.5–315.693.981.7–104
2018308.9296.4–316.694.183–106.3
2019309.9297.8–316.795.183.4–105.8
2020310.9299–318.695.985.5–107.5
2021310.4298.7–316.497.286–107.7
2022311.4300–319.696.285.2–108.3
2023311.4300.1–320.698.485.7–110.6
2024313.2302–321.29885.1–110.5
2025312300.2–321.998.787.2–110.5
2026312.6299.9–322.899.186.7–111.7
2027312.7301–321.6100.288.7–112.1
2028313.8302.4–321.999.686.2–111.6
2029315.5303.9–324.199.386.7–109.9
2030314.2303.1–322.6100.889.8–111.6
2031314.4301.6–321.9102.990.1–114.8
2032316.9304.8–325.8101.289–113.9
2033316.6305.4–323.3102.889.9–115.1
2034315.4303.9–323.9104.690.7–117.3
2035316.3305.6–327.910592.1–116.2
2036317.7305.2–326.2103.591.4–115.2
2037318.1306.6–325.210693.1–119.4
2038319.3307.6–326.7105.993.2–116.5
2039319.4307.7–326.7104.392.9–116.6
2040318.5306.5–329105.592.3–118.4
2041320.2308.3–328104.892.5–116.4
2042320308.7–329.2107.793.4–120.7
2043318.6306.6–327.810692.9–118.8
2044321309–329.6106.893.6–121.2
2045320.8308.6–329.8108.795.1–121.8
2046322.8308.8–331109.296.1–121.9
2047323.2308.8–333110.596.9–123.3
2048322.3310.5–332.3111.498.6–124
2049323.8311.6–334.111095.7–123.4
2050323.3310.3–333.5112.199.6–125.1
2051323.6311.2–334.4111.797.6–124.1
2052325.1311.7–334.711298.3–126
2053323.9310.9–333.8111.597.5–124
2054324.4311.9–335.4111.899–126.3
2055325.3312.6–335114.6101.4–128
2056325.9312.4–337.2113.1100.2–126.2
2057326.9311.9–335.2113.899.9–128.9
2058326.4313–336.3114.2100–127.7
2059326.4313.9–337.8113.498.9–126.3
2060329.5314.9–338.2116.3100.3–129.5
2061327.9313.6–336.9115100.5–127.6
2062327.6312.4–339.1115.799.7–131.1
2063327.6313.9–339.4117103.7–130.3
2064328.8314.4–338.6115.1101.7–130.3
2065327.6314.3–337.9117.3102.8–132.3
2066328.6314.7–338.5117.7103.7–132.1
2067328.8314.3–338119103–133.5
2068329.8314.4–339.9118.1104.3–131.4
2069329.5315.5–339.3118.4103.8–133.2
2070328.6315.1–338.8118.2104.9–132.9
2071331.4315.5–340.4119.3105.1–135.3
2072330.3315.9–339.4119103.2–135.1
2073331.4317.7–341120.6104.9–137.7
2074329.9316.8–341.1119.1104.4–134.5
2075330.5315.2–340.2119.7105.9–135.5
2076331.5316.2–341.2118.9102.6–137
2077332315.9–341.8120.3104.3–135.3
2078331.4318.2–340.9119.2105.3–136
2079331.5316.6–341.5120.1103.2–135.6
2080332.4317.4–343.2120.4106.1–139.5
2081332.3318.4–341.8120.5104.3–137.1
2082332.8317.8–340.4122.5107.5–137.7
2083333.1318.7–342.6122.6105.8–140.4
2084333317.8–342.7123.7107.6–139.1
2085332.6318.1–342.7121.3106.6–140.6
2086333.1318.9–342.3122.1107.9–139.8
2087332.6318–343.2123.7108–140.7
2088334.5319.5–343.1124106.5–142.2
2089333.6319–342.6124.1109–139.7
2090333.3319.6–343.3122.5105.4–141.9
2091334.5318.2–343.9124.3108–140.5
2092335.1319.7–343.6125.5110.1–140
2093333.9320–344.9124.5109–139.3
2094335.6320.4–342.8125108.7–142.9
2095335.4319.7–343125.3108.5–141
2096334.3319.4–346.1125.8109–142.4
2097334.2319.5–343.3123.6106.9–141.8
2098334.9319.4–343.4125.8109.4–143.8
2099334.4319.4–344.6123.1107.8–140.1
2100334.7318.7–343.3124.4107.9–143.7

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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。

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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