中国与尼日利亚对比

中国与尼日利亚:热带夜

2014 年热带夜:中国为 41.5 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 262.5 夜,是中国的 7.33 倍。

每年夜数 · CMIP6

中国与尼日利亚:热带夜2014 年热带夜:中国为 41.5 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 262.5 夜,是中国的 7.33 倍。
中国尼日利亚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 年中国为 63.3 夜,尼日利亚为 332.3 夜。

逐年数据

每年夜数 · CMIP6

年份中国尼日利亚
201441.5303.9
201341.7299.5
201240.8304.4
201140.2301.5
201040.5301.4
200939.5297.8
200839.2297.4
200738.7298
200639.5297.2
200539.5295.4
200439.7294.1
200338.5298.4
200238.8295.2
200139.5299.1
200038.6293.9
199938.5290.3
199837.6289.9
199737.1292.5
199636.6290
199535.1289.1
199434.9287.4
199333.2284
199232.3281.6
199135.9289.1
199036.4290.6
198936.1287.2
198835.1288
198734.5285.6
198634289.1
198533.5284.2
198433.4284.4
198331.5281.9
198234.1283.5
198134.2286.4
198034.3282.8
197933.8283
197834.8282.8
197733.3285.9
197632.7281.7
197533.1280.4
197433.3280.7
197333.1284.3
197232.6284.1
197133279.3
197032.4282
196933.4278.7
196832.8279.6
196733.4278.1
196633.4279.4
196532.5279
196432.1276.8
196334.5275.1
196234284.1
196134.6281.9
196034.1285.9
195934282.8
195835281.4
195734.4283.3
195634.6280.8
195534.2280.4
195434.2284.1
195334.3280.4
195234.3280.8
195135.1284.2
195034.9279.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份中国尼日利亚
201542.334.8–49.8301.7282.9–317.3
201642.134.4–50301.4280.8–312.5
201743.135.3–51.6302.5284.3–316.3
201842.335.5–49.5302.2286.8–316.5
201943.836.5–51.1300.1281.2–318
202043.736.8–51.1303283.7–318.5
202144.136–52.1305.1287.1–318.4
202244.737.5–52.7305.1286–319.5
202345.737.8–53.4305286.4–318.9
202445.738.1–54310.6295.1–321.5
202546.337.5–54.8307.5292–319.4
202646.237.6–55.5306.9286.1–322.9
202746.138–54.9307.4288–321.7
202846.438.4–54.3310.7293.4–322.6
202946.939.1–55.6311.4293.3–324.4
203047.138.8–55.3310.6294.1–322.5
20314738.8–56312.2295–324.8
203248.339.3–57.4310290–323.5
203347.939.7–56.6313292.9–327
203448.440.5–57.3311.7294.8–325.1
203549.740.8–58.6314.5296.7–327.7
20364940.1–58.2313.5294.1–326.5
20374941.2–57.6315.6297.9–327.1
203850.542.4–59.3316.9301.2–329.6
203949.641.2–59.2315.4299.4–328.2
204050.942.4–60.4315.6297.9–327.4
204151.342.5–61.1316.8300.6–330.2
204251.642–61.5316.3300.3–330.3
204350.742.7–61316298.4–326
204451.942.4–61.9317.9299.5–329.6
204551.542.8–61.1316.6300.5–330.4
20465343.7–62.7317.8302.2–330.7
204753.544.5–62.5319.8301.5–333
204853.144–62.6320.1302.4–331.7
204952.843.8–63.3320.7305.3–331.7
205053.644.4–63.8320.9304–335
205154.345.1–64.8321304.1–334.2
205253.444.6–63.2320.9303.9–333.5
205354.244.2–64.2320.9303.3–334.1
205454.545.3–64.8324.5304.5–338.2
20555545.1–65.8322.2308.4–333.7
205655.245.1–66.6324.8305.8–336.3
205754.844.9–65.7326310.8–337.3
205855.145.8–67.7322.9307.4–334.2
205955.345.1–67.2325.7308.9–339
206057.246.9–68.1323.8307.5–337
206156.546.6–66.3324.4307.1–338.2
206256.846.9–68.5325.7308–339.3
206357.247.2–68.6326.6308.7–337
20645747.1–67.7326.2311–339.8
206557.347.1–67.8327.6313.5–339.4
206657.347.9–68.7328.4311.3–339.6
206757.546.4–68.2326308.4–340.5
206858.748.5–70.5329.3311.2–342.9
206958.548.4–69326.6309.9–338.1
20705847.6–71.7327.4312.6–340.7
207159.347.4–71.6329.1313–341.1
207259.248.1–71.5330.3315.9–342.1
207359.849.1–70.9326.3309.5–341
207459.648.7–71.1326.7311.4–341.4
207558.748.3–71.4328.9314.5–341.8
207660.249–70.9329.6313.4–342
207760.851.1–72.4332.5314.4–343.3
207859.648.8–72.4329.8312.8–342.1
207960.750.1–72.6329.6313.8–340.6
208059.950–72.3331.7314.1–344.8
208160.950–73.2329.3311.6–343.7
20826149.8–73.3329.3313.3–341.4
208361.251.2–73.6330.4315–342.2
208461.749.7–74.6330.5311.9–344.2
208561.250.8–75.2332.7316.6–343.6
208661.648.9–74.5331.9316.3–343.6
208761.650.6–75330.7314.9–342.4
208862.750.5–77.1331.7313.2–342.7
208961.950–75.2331.1318.3–341.9
209062.551.4–73.7332.4312.7–343.9
209163.852–75.7333.3311–345.8
209263.251.2–75.1332.7313.8–345.7
209363.252–75.4334.2318.6–344.9
20946351.1–76.3334.2317.3–345.6
209563.952.8–76.4333.8319.3–346.3
209663.852.2–76.8332.5317.4–346.7
209762.750.7–75.1331.8312.6–344.6
209863.451.2–76.8332.3316–343.7
209963.851.9–76.1333316.9–344.2
210063.351.7–76.2332.3318.5–345

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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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