印度尼西亚与越南对比

印度尼西亚与越南：热带夜

2014 年热带夜：印度尼西亚为 306.5 夜，越南为 242.6 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 63.9 夜，是越南的 1.26 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度尼西亚与越南：热带夜2014 年热带夜：印度尼西亚为 306.5 夜，越南为 242.6 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 63.9 夜，是越南的 1.26 倍。
印度尼西亚越南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，越南为 282.7 夜。

逐年数据

每年夜数 · CMIP6

年份印度尼西亚越南
2014306.5242.6
2013306.4243.6
2012306.3242.4
2011304.6241.9
2010305.6240.9
2009303.9240
2008303.4238.7
2007302.8238
2006302.8239.1
2005303.1238.3
2004303.8241.8
2003301.9235.9
2002301.5236.3
2001302.5241.3
2000300.9237
1999300.4236
1998299.1236.8
1997297.9237.1
1996296.9231.4
1995296.7229.9
1994294.6231.2
1993291.6225.3
1992288.5221.9
1991297.5229.8
1990298.6233.1
1989296229.2
1988296.5231.7
1987295.6230.3
1986295.8230.9
1985292.8228
1984293.4230.2
1983290.1224.9
1982294.4227.5
1981294.8229.7
1980294.5228.1
1979294.1228.9
1978292.4227.5
1977293.4229
1976290.8225.8
1975290.7225.8
1974291.5225.7
1973293230.3
1972290.7225.6
1971291.2225.5
1970288.9226.1
1969290.4227
1968289.1227.1
1967288.4222.9
1966290.5226.8
1965288.1225.4
1964286.2222.6
1963286.4224.3
1962291.2227.8
1961292.9229.4
1960292.8228.5
1959291.9226.2
1958293.3230.9
1957290.8228.4
1956291.5228.7
1955292.4227.5
1954290226.3
1953291.4228.2
1952291.7228.5
1951291.7229.2
1950291.8228.9
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度尼西亚越南
2015308295.7–315.1245.8228.2–261.9
2016307.5296.9–315.6243.7226.1–259.4
2017308.4295.5–315.6247229.6–260.7
2018308.9296.4–316.6248.3228.8–263.3
2019309.9297.8–316.7248.1229.2–262.8
2020310.9299–318.6248.8229.6–262.9
2021310.4298.7–316.4251.1233.1–266.7
2022311.4300–319.6252.4234.3–266.8
2023311.4300.1–320.6253.4235.4–266.6
2024313.2302–321.2251.3236.7–264.6
2025312300.2–321.9252.4234.1–266.2
2026312.6299.9–322.8252.8232.9–268.5
2027312.7301–321.6253.2237–268.8
2028313.8302.4–321.9254.3237.7–272
2029315.5303.9–324.1258.1238.5–273.7
2030314.2303.1–322.6256.4240.9–270.1
2031314.4301.6–321.9255.9241.2–270.9
2032316.9304.8–325.8257.4239.1–269.9
2033316.6305.4–323.3258.3241.7–273.2
2034315.4303.9–323.9258.8240.7–275.8
2035316.3305.6–327.9258.6242.5–275.4
2036317.7305.2–326.2258.3239.1–273.8
2037318.1306.6–325.2258.7242.4–272.4
2038319.3307.6–326.7263.4247.6–277.3
2039319.4307.7–326.7260.2243.7–275.9
2040318.5306.5–329260.1242.8–274.8
2041320.2308.3–328263.1245.9–279
2042320308.7–329.2263.6246.5–279
2043318.6306.6–327.8261.4245.5–279.6
2044321309–329.6263.2245.2–277.6
2045320.8308.6–329.8265.5249.6–281.4
2046322.8308.8–331264.9246.8–278.1
2047323.2308.8–333266.9250.4–282.9
2048322.3310.5–332.3268250.5–283.8
2049323.8311.6–334.1267.8251.2–284.8
2050323.3310.3–333.5268251.2–283.5
2051323.6311.2–334.4270.9254.3–285.4
2052325.1311.7–334.7268.3253.3–282.8
2053323.9310.9–333.8268.5250.1–283.2
2054324.4311.9–335.4269.1250.8–283.6
2055325.3312.6–335270249.8–284.2
2056325.9312.4–337.2271.7254.8–290.1
2057326.9311.9–335.2270253–285.7
2058326.4313–336.3270.7252.9–286.5
2059326.4313.9–337.8273257.6–286.6
2060329.5314.9–338.2275.7255.6–290.6
2061327.9313.6–336.9273.5254.6–289.5
2062327.6312.4–339.1271.4253.1–290.2
2063327.6313.9–339.4272.9252.7–288.1
2064328.8314.4–338.6273.8254.4–288.1
2065327.6314.3–337.9272255.8–286.3
2066328.6314.7–338.5271.8254.4–287.3
2067328.8314.3–338270.8252.1–287.6
2068329.8314.4–339.9275.6256.9–292.4
2069329.5315.5–339.3276.4258.5–292
2070328.6315.1–338.8274.6257.8–292.8
2071331.4315.5–340.4276.2255.2–294.1
2072330.3315.9–339.4277256.8–291.4
2073331.4317.7–341278.5262.7–293.4
2074329.9316.8–341.1277.6259.2–295.8
2075330.5315.2–340.2276.4258.7–294.4
2076331.5316.2–341.2279.2258.5–296.6
2077332315.9–341.8280264.9–294.7
2078331.4318.2–340.9278.4258.6–295.5
2079331.5316.6–341.5279.3263.4–293.6
2080332.4317.4–343.2280261.4–296.5
2081332.3318.4–341.8280.4261.2–297.9
2082332.8317.8–340.4280.9258.9–296
2083333.1318.7–342.6278.4261.6–295
2084333317.8–342.7279257.4–293.8
2085332.6318.1–342.7281.3265–297.8
2086333.1318.9–342.3282.3260.2–297.5
2087332.6318–343.2281.9261.3–300.7
2088334.5319.5–343.1283.1265.7–301.5
2089333.6319–342.6280.8261.2–301.6
2090333.3319.6–343.3280.5264.5–297.6
2091334.5318.2–343.9283.3264.3–298.9
2092335.1319.7–343.6281.1261.5–299.4
2093333.9320–344.9280.5263.4–296.1
2094335.6320.4–342.8283264.5–300
2095335.4319.7–343285.5264.5–302.9
2096334.3319.4–346.1281.8264.8–299.8
2097334.2319.5–343.3281.5263.3–299
2098334.9319.4–343.4282.5263.9–301.5
2099334.4319.4–344.6282.7265.1–298
2100334.7318.7–343.3282.7261–298.2

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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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