印度与印度尼西亚对比

印度与印度尼西亚：热带夜

2014 年热带夜：印度为 215.5 夜，印度尼西亚为 306.5 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 91 夜，是印度的 1.42 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度与印度尼西亚：热带夜2014 年热带夜：印度为 215.5 夜，印度尼西亚为 306.5 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 91 夜，是印度的 1.42 倍。
印度印度尼西亚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 年印度为 250.4 夜，印度尼西亚为 334.7 夜。

逐年数据

每年夜数 · CMIP6

年份印度印度尼西亚
2014215.5306.5
2013216306.4
2012217.4306.3
2011215.5304.6
2010215.2305.6
2009213.7303.9
2008213.7303.4
2007213.3302.8
2006212.5302.8
2005212.9303.1
2004214.9303.8
2003212.1301.9
2002213301.5
2001212.2302.5
2000210.8300.9
1999211.9300.4
1998210.3299.1
1997209.5297.9
1996207296.9
1995208.8296.7
1994207.1294.6
1993206291.6
1992203.5288.5
1991208297.5
1990209.9298.6
1989208296
1988207.3296.5
1987207.2295.6
1986207.2295.8
1985205.9292.8
1984206.7293.4
1983203.3290.1
1982205.7294.4
1981208.4294.8
1980205.3294.5
1979205.5294.1
1978204.1292.4
1977205.9293.4
1976204.6290.8
1975202.6290.7
1974205.3291.5
1973205.6293
1972203.8290.7
1971203.6291.2
1970202.6288.9
1969203.6290.4
1968201.7289.1
1967201.6288.4
1966203.9290.5
1965202.4288.1
1964201.2286.2
1963201.8286.4
1962203.8291.2
1961206.3292.9
1960206292.8
1959206.1291.9
1958204293.3
1957206.5290.8
1956204291.5
1955203.2292.4
1954206290
1953204291.4
1952204.4291.7
1951204.3291.7
1950206.3291.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度印度尼西亚
2015216.9202.1–228.4308295.7–315.1
2016215202.5–227.6307.5296.9–315.6
2017216.2202.1–228.5308.4295.5–315.6
2018218.3204.5–231.4308.9296.4–316.6
2019217.4202.3–230.4309.9297.8–316.7
2020217.6203.1–232310.9299–318.6
2021219.7204.5–233.2310.4298.7–316.4
2022220.5205.8–233311.4300–319.6
2023220.4206.4–233.7311.4300.1–320.6
2024222.6208.1–236.3313.2302–321.2
2025219.7202.7–236.2312300.2–321.9
2026220.2204.2–236.8312.6299.9–322.8
2027223.6207.1–239312.7301–321.6
2028222.1205.1–235.7313.8302.4–321.9
2029225.4210–240.3315.5303.9–324.1
2030222.7207.3–235.6314.2303.1–322.6
2031223.8207.1–237.8314.4301.6–321.9
2032225.9210–240.5316.9304.8–325.8
2033223.8209.3–235.4316.6305.4–323.3
2034225.8210–242.7315.4303.9–323.9
2035224.9210.6–240.9316.3305.6–327.9
2036224.2210.4–240.3317.7305.2–326.2
2037228.3213.6–242.6318.1306.6–325.2
2038228.1212.6–241.4319.3307.6–326.7
2039227.4211.9–242.8319.4307.7–326.7
2040227212.2–242318.5306.5–329
2041227.1210.7–240.5320.2308.3–328
2042229.1214.8–244.2320308.7–329.2
2043228.9214.5–244318.6306.6–327.8
2044229.7214.7–244.2321309–329.6
2045231.2216.6–246.1320.8308.6–329.8
2046232.6216.2–248.6322.8308.8–331
2047232.4215.5–250323.2308.8–333
2048235.6218.5–254.3322.3310.5–332.3
2049235.3218.3–249.9323.8311.6–334.1
2050233.5216.6–253.4323.3310.3–333.5
2051234.9218.6–249.9323.6311.2–334.4
2052234219.4–249.3325.1311.7–334.7
2053234.9219.5–252.5323.9310.9–333.8
2054237.2219.4–253.1324.4311.9–335.4
2055237.2220.7–256.6325.3312.6–335
2056238.8221.2–254.9325.9312.4–337.2
2057235.7218.5–253.8326.9311.9–335.2
2058238.8222.8–254.1326.4313–336.3
2059241.1224.9–256.2326.4313.9–337.8
2060240.9225.6–255.6329.5314.9–338.2
2061237.9220.6–253.7327.9313.6–336.9
2062239.9221.2–259.7327.6312.4–339.1
2063239.9222.3–256.1327.6313.9–339.4
2064240223.8–256.3328.8314.4–338.6
2065240.9222.9–257.3327.6314.3–337.9
2066241.5224.1–258.6328.6314.7–338.5
2067241.6224.8–257.9328.8314.3–338
2068242.3224.6–262.1329.8314.4–339.9
2069242.8225.4–259.1329.5315.5–339.3
2070240.1225.3–257.1328.6315.1–338.8
2071241.8223.7–260.2331.4315.5–340.4
2072242.6225.4–259.2330.3315.9–339.4
2073243.8228–259.3331.4317.7–341
2074241.6226.9–258.4329.9316.8–341.1
2075243.5226.4–258.2330.5315.2–340.2
2076243.2224.6–259.9331.5316.2–341.2
2077243.7226.6–264.6332315.9–341.8
2078246.7230.1–261.5331.4318.2–340.9
2079244.9226.4–261.3331.5316.6–341.5
2080246.7227–263.7332.4317.4–343.2
2081247.5230.4–264.8332.3318.4–341.8
2082244.6227.9–262.3332.8317.8–340.4
2083247.5227.8–265.1333.1318.7–342.6
2084247.3228.3–266.8333317.8–342.7
2085246.5227.5–267.1332.6318.1–342.7
2086245.6227.7–266.5333.1318.9–342.3
2087245.5226.7–266.2332.6318–343.2
2088247229.4–266.9334.5319.5–343.1
2089248.1230–266.3333.6319–342.6
2090249228.9–266.4333.3319.6–343.3
2091248.9230–266.5334.5318.2–343.9
2092249.8232.3–267.8335.1319.7–343.6
2093248.1229–266.5333.9320–344.9
2094249.1230.6–268.4335.6320.4–342.8
2095251233.2–270335.4319.7–343
2096247.8231.4–269.3334.3319.4–346.1
2097251.1231.4–268334.2319.5–343.3
2098252.3230.8–268.3334.9319.4–343.4
2099248.7230.1–268.3334.4319.4–344.6
2100250.4232.9–266.7334.7318.7–343.3

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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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