印度尼西亚与尼日利亚对比

印度尼西亚与尼日利亚：热带夜

2014 年热带夜：印度尼西亚为 306.5 夜，尼日利亚为 303.9 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 2.6 夜，是尼日利亚的 1.01 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度尼西亚与尼日利亚：热带夜2014 年热带夜：印度尼西亚为 306.5 夜，尼日利亚为 303.9 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 2.6 夜，是尼日利亚的 1.01 倍。
印度尼西亚尼日利亚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 年印度尼西亚为 334.7 夜，尼日利亚为 332.3 夜。

逐年数据

每年夜数 · CMIP6

年份印度尼西亚尼日利亚
2014306.5303.9
2013306.4299.5
2012306.3304.4
2011304.6301.5
2010305.6301.4
2009303.9297.8
2008303.4297.4
2007302.8298
2006302.8297.2
2005303.1295.4
2004303.8294.1
2003301.9298.4
2002301.5295.2
2001302.5299.1
2000300.9293.9
1999300.4290.3
1998299.1289.9
1997297.9292.5
1996296.9290
1995296.7289.1
1994294.6287.4
1993291.6284
1992288.5281.6
1991297.5289.1
1990298.6290.6
1989296287.2
1988296.5288
1987295.6285.6
1986295.8289.1
1985292.8284.2
1984293.4284.4
1983290.1281.9
1982294.4283.5
1981294.8286.4
1980294.5282.8
1979294.1283
1978292.4282.8
1977293.4285.9
1976290.8281.7
1975290.7280.4
1974291.5280.7
1973293284.3
1972290.7284.1
1971291.2279.3
1970288.9282
1969290.4278.7
1968289.1279.6
1967288.4278.1
1966290.5279.4
1965288.1279
1964286.2276.8
1963286.4275.1
1962291.2284.1
1961292.9281.9
1960292.8285.9
1959291.9282.8
1958293.3281.4
1957290.8283.3
1956291.5280.8
1955292.4280.4
1954290284.1
1953291.4280.4
1952291.7280.8
1951291.7284.2
1950291.8279.3
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度尼西亚尼日利亚
2015308295.7–315.1301.7282.9–317.3
2016307.5296.9–315.6301.4280.8–312.5
2017308.4295.5–315.6302.5284.3–316.3
2018308.9296.4–316.6302.2286.8–316.5
2019309.9297.8–316.7300.1281.2–318
2020310.9299–318.6303283.7–318.5
2021310.4298.7–316.4305.1287.1–318.4
2022311.4300–319.6305.1286–319.5
2023311.4300.1–320.6305286.4–318.9
2024313.2302–321.2310.6295.1–321.5
2025312300.2–321.9307.5292–319.4
2026312.6299.9–322.8306.9286.1–322.9
2027312.7301–321.6307.4288–321.7
2028313.8302.4–321.9310.7293.4–322.6
2029315.5303.9–324.1311.4293.3–324.4
2030314.2303.1–322.6310.6294.1–322.5
2031314.4301.6–321.9312.2295–324.8
2032316.9304.8–325.8310290–323.5
2033316.6305.4–323.3313292.9–327
2034315.4303.9–323.9311.7294.8–325.1
2035316.3305.6–327.9314.5296.7–327.7
2036317.7305.2–326.2313.5294.1–326.5
2037318.1306.6–325.2315.6297.9–327.1
2038319.3307.6–326.7316.9301.2–329.6
2039319.4307.7–326.7315.4299.4–328.2
2040318.5306.5–329315.6297.9–327.4
2041320.2308.3–328316.8300.6–330.2
2042320308.7–329.2316.3300.3–330.3
2043318.6306.6–327.8316298.4–326
2044321309–329.6317.9299.5–329.6
2045320.8308.6–329.8316.6300.5–330.4
2046322.8308.8–331317.8302.2–330.7
2047323.2308.8–333319.8301.5–333
2048322.3310.5–332.3320.1302.4–331.7
2049323.8311.6–334.1320.7305.3–331.7
2050323.3310.3–333.5320.9304–335
2051323.6311.2–334.4321304.1–334.2
2052325.1311.7–334.7320.9303.9–333.5
2053323.9310.9–333.8320.9303.3–334.1
2054324.4311.9–335.4324.5304.5–338.2
2055325.3312.6–335322.2308.4–333.7
2056325.9312.4–337.2324.8305.8–336.3
2057326.9311.9–335.2326310.8–337.3
2058326.4313–336.3322.9307.4–334.2
2059326.4313.9–337.8325.7308.9–339
2060329.5314.9–338.2323.8307.5–337
2061327.9313.6–336.9324.4307.1–338.2
2062327.6312.4–339.1325.7308–339.3
2063327.6313.9–339.4326.6308.7–337
2064328.8314.4–338.6326.2311–339.8
2065327.6314.3–337.9327.6313.5–339.4
2066328.6314.7–338.5328.4311.3–339.6
2067328.8314.3–338326308.4–340.5
2068329.8314.4–339.9329.3311.2–342.9
2069329.5315.5–339.3326.6309.9–338.1
2070328.6315.1–338.8327.4312.6–340.7
2071331.4315.5–340.4329.1313–341.1
2072330.3315.9–339.4330.3315.9–342.1
2073331.4317.7–341326.3309.5–341
2074329.9316.8–341.1326.7311.4–341.4
2075330.5315.2–340.2328.9314.5–341.8
2076331.5316.2–341.2329.6313.4–342
2077332315.9–341.8332.5314.4–343.3
2078331.4318.2–340.9329.8312.8–342.1
2079331.5316.6–341.5329.6313.8–340.6
2080332.4317.4–343.2331.7314.1–344.8
2081332.3318.4–341.8329.3311.6–343.7
2082332.8317.8–340.4329.3313.3–341.4
2083333.1318.7–342.6330.4315–342.2
2084333317.8–342.7330.5311.9–344.2
2085332.6318.1–342.7332.7316.6–343.6
2086333.1318.9–342.3331.9316.3–343.6
2087332.6318–343.2330.7314.9–342.4
2088334.5319.5–343.1331.7313.2–342.7
2089333.6319–342.6331.1318.3–341.9
2090333.3319.6–343.3332.4312.7–343.9
2091334.5318.2–343.9333.3311–345.8
2092335.1319.7–343.6332.7313.8–345.7
2093333.9320–344.9334.2318.6–344.9
2094335.6320.4–342.8334.2317.3–345.6
2095335.4319.7–343333.8319.3–346.3
2096334.3319.4–346.1332.5317.4–346.7
2097334.2319.5–343.3331.8312.6–344.6
2098334.9319.4–343.4332.3316–343.7
2099334.4319.4–344.6333316.9–344.2
2100334.7318.7–343.3332.3318.5–345

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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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