哥伦比亚与印度尼西亚对比

哥伦比亚与印度尼西亚：热带夜

2014 年热带夜：哥伦比亚为 279.9 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 26.6 夜，是哥伦比亚的 1.1 倍。

在地图上查看其变化

每年夜数 · CMIP6

哥伦比亚与印度尼西亚：热带夜2014 年热带夜：哥伦比亚为 279.9 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 26.6 夜，是哥伦比亚的 1.1 倍。
哥伦比亚印度尼西亚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 年哥伦比亚为 297.4 夜，印度尼西亚为 334.7 夜。

逐年数据

每年夜数 · CMIP6

年份哥伦比亚印度尼西亚
2014279.9306.5
2013279.8306.4
2012280.7306.3
2011280304.6
2010279.1305.6
2009279.3303.9
2008278.4303.4
2007277.3302.8
2006277.5302.8
2005277.7303.1
2004278.2303.8
2003277.5301.9
2002277.3301.5
2001278302.5
2000276.2300.9
1999274.6300.4
1998275.2299.1
1997274.4297.9
1996271.2296.9
1995271.3296.7
1994270.4294.6
1993268291.6
1992264.7288.5
1991273.9297.5
1990275.6298.6
1989271.9296
1988270.3296.5
1987271.8295.6
1986271.4295.8
1985268.4292.8
1984268.2293.4
1983265.1290.1
1982269.2294.4
1981272.1294.8
1980270.2294.5
1979269.3294.1
1978268.3292.4
1977269.6293.4
1976266.1290.8
1975261.6290.7
1974266.6291.5
1973269.9293
1972266.6290.7
1971265.7291.2
1970265.4288.9
1969266290.4
1968264.6289.1
1967261.7288.4
1966263.7290.5
1965263.2288.1
1964260.3286.2
1963254.8286.4
1962266.7291.2
1961267292.9
1960268.6292.8
1959265.5291.9
1958268293.3
1957267.4290.8
1956263.3291.5
1955267.7292.4
1954267.2290
1953267.9291.4
1952268.1291.7
1951267.2291.7
1950266.5291.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份哥伦比亚印度尼西亚
2015280.4265.9–286.4308295.7–315.1
2016279.9267.9–285.6307.5296.9–315.6
2017281.7270.6–286.3308.4295.5–315.6
2018281.5271.8–286.3308.9296.4–316.6
2019281.1269.5–286.9309.9297.8–316.7
2020282.1270.6–287.9310.9299–318.6
2021283.2273.9–287.8310.4298.7–316.4
2022283.7273.6–288.5311.4300–319.6
2023282.6274.2–288.8311.4300.1–320.6
2024284.7274.7–289.8313.2302–321.2
2025283.5273.3–289.7312300.2–321.9
2026283.4272.7–289.7312.6299.9–322.8
2027283.9273.4–289.2312.7301–321.6
2028285275.1–290.7313.8302.4–321.9
2029285.8276–290.3315.5303.9–324.1
2030284.2273.4–289.8314.2303.1–322.6
2031285.8274.8–291.2314.4301.6–321.9
2032286.7278.3–292.6316.9304.8–325.8
2033285.7274.7–290.3316.6305.4–323.3
2034285275.8–292.8315.4303.9–323.9
2035285.9277.3–292316.3305.6–327.9
2036286276.9–291.6317.7305.2–326.2
2037287.5279.3–291.9318.1306.6–325.2
2038288279.7–292.4319.3307.6–326.7
2039287.6278.8–292.7319.4307.7–326.7
2040287.6279.3–294.5318.5306.5–329
2041288.2279.9–292.7320.2308.3–328
2042288.2278.3–295320308.7–329.2
2043287.7277.7–293.4318.6306.6–327.8
2044287.8278.5–295.1321309–329.6
2045288.8280.5–293.9320.8308.6–329.8
2046290.4281–295.5322.8308.8–331
2047289.9280.6–294.6323.2308.8–333
2048290.7281.4–296.8322.3310.5–332.3
2049290.9282–295.3323.8311.6–334.1
2050290.1280.8–296323.3310.3–333.5
2051290.6280.9–295.7323.6311.2–334.4
2052290.9281.9–296.7325.1311.7–334.7
2053290.5280.8–296.3323.9310.9–333.8
2054290.8281.3–297.2324.4311.9–335.4
2055291.1282.6–298325.3312.6–335
2056291.5281.5–298.6325.9312.4–337.2
2057291.5281.2–297.3326.9311.9–335.2
2058291.8281.7–298.9326.4313–336.3
2059292.8282–299.2326.4313.9–337.8
2060293.2283–300.1329.5314.9–338.2
2061292.2281.9–298.7327.9313.6–336.9
2062292.6282.4–299.7327.6312.4–339.1
2063293.6282.3–298.6327.6313.9–339.4
2064292.7282.9–299.1328.8314.4–338.6
2065293.8283.6–299.4327.6314.3–337.9
2066293.1283.4–299.8328.6314.7–338.5
2067292.9281.8–299.6328.8314.3–338
2068294.2282.5–300.6329.8314.4–339.9
2069292.9282.4–300329.5315.5–339.3
2070292.9282.8–300.8328.6315.1–338.8
2071294.2282.8–301.5331.4315.5–340.4
2072294.9285.1–301.9330.3315.9–339.4
2073294.9285.5–302.2331.4317.7–341
2074293.9283.3–300.3329.9316.8–341.1
2075294.1283.2–300.6330.5315.2–340.2
2076294.9284.6–302331.5316.2–341.2
2077295.3284.3–301.9332315.9–341.8
2078294.4285–302331.4318.2–340.9
2079294.8283.7–301.8331.5316.6–341.5
2080295.1283.4–302.8332.4317.4–343.2
2081295.1284.8–302.6332.3318.4–341.8
2082295.1284.9–301.3332.8317.8–340.4
2083295.4284.5–304.6333.1318.7–342.6
2084296285.1–304.4333317.8–342.7
2085296.6285–305332.6318.1–342.7
2086295.6284.8–303.6333.1318.9–342.3
2087295.3284.1–303.4332.6318–343.2
2088295.9284.5–305.5334.5319.5–343.1
2089295.6285–304.5333.6319–342.6
2090295.7285.8–304.6333.3319.6–343.3
2091297285–304.9334.5318.2–343.9
2092296.8286–305.7335.1319.7–343.6
2093296.3285.6–305.3333.9320–344.9
2094296.4285.8–305335.6320.4–342.8
2095297.9285.6–304.9335.4319.7–343
2096296285.9–307.5334.3319.4–346.1
2097296.5284.8–303.4334.2319.5–343.3
2098296.6286–307.3334.9319.4–343.4
2099297284.6–305.4334.4319.4–344.6
2100297.4286.5–305.2334.7318.7–343.3

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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。

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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