阿根廷与尼日利亚对比

阿根廷与尼日利亚:热带夜

2014 年热带夜:阿根廷为 42.6 夜,尼日利亚为 303.9 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 261.3 夜,是阿根廷的 7.13 倍。

每年夜数 · CMIP6

阿根廷与尼日利亚:热带夜2014 年热带夜:阿根廷为 42.6 夜,尼日利亚为 303.9 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 261.3 夜,是阿根廷的 7.13 倍。
阿根廷尼日利亚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,尼日利亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿根廷为 65.2 夜,尼日利亚为 332.3 夜。

逐年数据

每年夜数 · CMIP6

年份阿根廷尼日利亚
201442.6303.9
201341.8299.5
201241304.4
201141.5301.5
201040.8301.4
200941.6297.8
200841.4297.4
200739.6298
200639.3297.2
200540.1295.4
200440.6294.1
200338.7298.4
200240.2295.2
200139.5299.1
200039.5293.9
199938.4290.3
199838.8289.9
199738.5292.5
199637290
199535.7289.1
199434.7287.4
199334.3284
199233.4281.6
199136.8289.1
199036290.6
198937287.2
198836.9288
198736.1285.6
198636.4289.1
198536284.2
198434.7284.4
198335.2281.9
198235.7283.5
198137.3286.4
198036.3282.8
197937.5283
197835.7282.8
197735.1285.9
197635.7281.7
197534.8280.4
197435.4280.7
197334.1284.3
197235.5284.1
197134.7279.3
197034.9282
196933.4278.7
196834.6279.6
196733278.1
196634.3279.4
196532.2279
196430.3276.8
196332275.1
196235.2284.1
196135.6281.9
196035.6285.9
195934.5282.8
195833.3281.4
195735.7283.3
195635280.8
195534.4280.4
195433.6284.1
195335.8280.4
195234.4280.8
195135.4284.2
195033.9279.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份阿根廷尼日利亚
201544.433.5–53.4301.7282.9–317.3
201643.532.4–53.4301.4280.8–312.5
201742.834.2–52.6302.5284.3–316.3
201842.632.7–52.6302.2286.8–316.5
201943.633.4–53.1300.1281.2–318
202045.735.5–57.2303283.7–318.5
202145.634.3–56.4305.1287.1–318.4
202244.633.3–56.4305.1286–319.5
202344.934.9–53.9305286.4–318.9
202445.834.2–57.5310.6295.1–321.5
202546.536–58.1307.5292–319.4
202647.936.7–57306.9286.1–322.9
202746.434.5–56.3307.4288–321.7
202846.133.5–58.5310.7293.4–322.6
202948.336–58.8311.4293.3–324.4
203047.835.4–60.3310.6294.1–322.5
203146.935.5–58.7312.2295–324.8
20324837.9–59.7310290–323.5
203347.436.7–57.6313292.9–327
203447.837.8–58.9311.7294.8–325.1
203547.339–59314.5296.7–327.7
203648.939.2–58.4313.5294.1–326.5
20375141.2–60.9315.6297.9–327.1
203848.737.9–59.7316.9301.2–329.6
203948.839.1–58.4315.4299.4–328.2
204050.440.4–62.3315.6297.9–327.4
204150.740.4–61.7316.8300.6–330.2
20425037.3–61.1316.3300.3–330.3
204350.340.5–61316298.4–326
20445240–65317.9299.5–329.6
204552.441.3–65.6316.6300.5–330.4
204651.941.2–62.7317.8302.2–330.7
204751.542–64319.8301.5–333
204854.542.6–65320.1302.4–331.7
204953.942.8–64.9320.7305.3–331.7
205052.543.6–62.4320.9304–335
205155.743.3–67.4321304.1–334.2
205255.642.2–67320.9303.9–333.5
205355.342.6–67.6320.9303.3–334.1
205454.743–66.7324.5304.5–338.2
205555.942.3–67.2322.2308.4–333.7
205657.642.8–68.6324.8305.8–336.3
205756.842.3–68.7326310.8–337.3
205854.841.5–68.1322.9307.4–334.2
205957.844.9–70.3325.7308.9–339
206056.943.4–67.9323.8307.5–337
206156.542.3–70.6324.4307.1–338.2
206257.345.8–68.5325.7308–339.3
206358.244.6–70.2326.6308.7–337
206458.845.8–71.5326.2311–339.8
206558.746–71.1327.6313.5–339.4
206659.947–68.9328.4311.3–339.6
206758.944.8–71.5326308.4–340.5
206857.844.3–70.3329.3311.2–342.9
206959.445.4–70.5326.6309.9–338.1
207061.348.2–74.3327.4312.6–340.7
207160.148.7–73.2329.1313–341.1
207260.146.7–73.7330.3315.9–342.1
207360.847.6–73.5326.3309.5–341
207460.447.6–73.7326.7311.4–341.4
207561.347.9–73.9328.9314.5–341.8
207661.146.8–75.8329.6313.4–342
207760.647.1–73.1332.5314.4–343.3
207863.449.4–75.6329.8312.8–342.1
207959.948.7–73329.6313.8–340.6
20806348.1–75.5331.7314.1–344.8
208161.448.7–73.5329.3311.6–343.7
208261.747.7–75329.3313.3–341.4
208362.148.2–75.6330.4315–342.2
208462.950.3–76330.5311.9–344.2
20856246.9–76.4332.7316.6–343.6
208662.749.4–76.4331.9316.3–343.6
208761.847.9–74.9330.7314.9–342.4
208864.450.8–77.5331.7313.2–342.7
208962.749.3–76.3331.1318.3–341.9
209064.152.5–77.1332.4312.7–343.9
209164.451.7–78.3333.3311–345.8
209265.650.8–78.3332.7313.8–345.7
209362.749.7–76.8334.2318.6–344.9
209463.950.1–78.5334.2317.3–345.6
209562.948.8–77.9333.8319.3–346.3
209664.749.4–78.9332.5317.4–346.7
209764.552.4–80.1331.8312.6–344.6
209865.652.7–78.7332.3316–343.7
209965.249.3–80.2333316.9–344.2
210065.250–81.7332.3318.5–345

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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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