日本与马来西亚对比

日本与马来西亚:热带夜

2014 年热带夜:日本为 58.6 夜,马来西亚为 323 夜(CMIP6 气候模型中位数模拟)。 2014 年马来西亚的数值较高,高出 264.4 夜,是日本的 5.51 倍。

每年夜数 · CMIP6

日本与马来西亚:热带夜2014 年热带夜:日本为 58.6 夜,马来西亚为 323 夜(CMIP6 气候模型中位数模拟)。 2014 年马来西亚的数值较高,高出 264.4 夜,是日本的 5.51 倍。
日本马来西亚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,马来西亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年日本为 87.7 夜,马来西亚为 354.8 夜。

逐年数据

每年夜数 · CMIP6

年份日本马来西亚
201458.6323
201359.9323.9
201259.3323.3
201157.9320.9
201059.6320.9
200957.6320.3
200857.3317.9
200756.6317.8
200657.5317.3
200557.2318.4
200456.7319.4
200356.1316
200256316
200154.2316.5
200053.8314.5
199955.3312.9
199852.4312.5
199752.4310.6
199652.9307.1
199549.7307.3
199449.5304.1
199345.4298.2
199245.1293.6
199149.4308.9
199050.7310.4
198951.4306.9
198848.1306.8
198747.7306
198646.1305.5
198546.7301.7
198444.8302.1
198341.9297.2
198246.4302.6
198145.9303.7
198046.5303.3
197946.7302.4
197847.6301
197745.8301.3
197646298.9
197546.9297.7
197445.6298.1
197344.3299.1
197245.8297
197144.8298.3
197044296
196946.9297.4
196845.7295.2
196748.3293.1
196645.9296.2
196545.8293.1
196444.9291.3
196348.3291.6
196245.6299.1
196148.9299.5
196046.4300.1
195946.9299.9
195848.8301.7
195749.2299
195650.6298.1
195547.9299.3
195446.9296.8
195349.2298.8
195249.5299.4
195146.2299.1
195049.9300
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份日本马来西亚
201560.649.3–74.4324.4308.5–333.7
201661.547.9–73.9323.8310.5–334.9
201762.352.1–75.8325.6309.9–334.4
201860.548.5–73.8325.7310.7–335.4
201964.152.1–80.1326.4311.9–335.3
202063.151–74.5328313.4–337.7
202162.348.5–78.8328.8314–336.3
202264.653.8–76.5329315.3–339
202365.951.7–78330.1316–340.5
202465.352.9–80.7332319.6–340.7
202565.652.8–80.4330.3317.7–342
202665.554.2–81.2330.2315.1–342.9
202766.452.9–79.5331315.2–342.4
202865.352.4–80.1332.4319–341.9
202968.555–80.4334.4322.5–344.9
203066.552.3–80.6333.4319.2–342.6
203166.554.7–80333.8317.1–342.5
20326650.8–82.1336.5323.3–345.9
203370.354.7–84.8336.4322.5–343.3
203468.553.9–81.7334.8322.7–344.3
203572.960.4–84.6334.7323.3–347.9
203672.556.1–89.7336.9320.7–346.2
203767.656.7–82.5338.3325.4–345.3
203870.558.6–83.8339.7326.9–347.4
203970.455.6–85.7340326–347.4
204073.657.4–89.3338.6325.1–349
204172.955.6–88.5340.3326.3–348.1
204271.258.1–86.4339.9326.9–349.6
204373.357.9–88.1338.3324.3–348.3
204472.657.8–85.5340.6326.3–350.4
204572.959.5–86.7340.9327.4–349.8
204676.261–90.3343.3327.6–351.4
204775.656.6–89.3343325.3–352.9
204874.858.5–89.4342.6329–352.5
204974.359.7–90.8343.8331.1–354.1
205075.160.8–89.3342.7328.1–353.5
205175.861.1–92.4344.5330.7–354.3
205274.557.9–90.4345.1330.3–355
205378.559.6–91.6344.2331–353.5
205475.959.6–89.3345330.1–354.6
205576.862.2–95.1346.1332–354.3
205677.861.9–93.7346.5332.2–356.6
205779.962.8–94.4347.9332.3–355.4
205879.263.7–94.9347333.5–355.6
205979.858–95.6346.9333.4–356.2
206078.261.1–95.1349.7334.9–357.3
206180.865.7–96.7348.4334.1–356.1
20628063.6–96.3348.4331.8–357.7
20638064.1–96.5348.7333.2–357.7
206477.661.4–95.2349.1333.8–357.5
206581.763–97.4348.6334.6–356.8
206680.363.8–94.2349.3335–357.5
206781.363.2–97.1349.1334–356.6
206879.861.4–99.3350334.6–358.7
206982.365–96.1349.5334.2–357.9
207083.360.2–102.3349.2336.2–357.7
207183.663.6–99.2350.9336.1–358.6
207284.363.3–99.1351337.2–357.9
207383.564.9–97.4351.1338.7–359.9
207484.366.8–100.9350337.8–359.4
207585.664.1–99.8350.5335.4–358.1
207683.968.8–99.3351.6337.5–359.7
207786.467.6–102.4352.4336.4–359.9
207884.167.7–103.2351.3338.9–358.8
207986.168.3–99.4351.8337.9–359.7
208084.767.6–103.7352.4338.8–360.7
208183.668.5–104.3352.2337.3–359.7
208286.469.4–107.7352.7336.9–358.9
208385.966.5–105.7352.5339.6–360.4
208485.867.4–102.3353.5337.9–360.4
208587.568.9–102.8352.9340.2–360.2
208684.668.6–105.3352.8339.9–360
208787.270.3–107352.8338.4–361
208886.866.3–102.5354340–360.9
208985.765.9–103.8353.7339.7–359.9
209089.469.5–104.4353.3340.3–360.6
209188.367.4–103.1354.7338.9–361
20928667.7–102.3355.3340.4–361.7
209388.969.8–107.4353.5339.3–362
209487.569.3–103.7355.4341.2–360.4
20958872.4–104.9355339.4–360.6
209690.771–107.3353.6339.6–363.1
209789.471–103.1354.3339.5–360.6
209888.571–106.5354.8340.2–360.7
209988.370.8–102.4353.7340–361.8
210087.769.2–106.2354.8340.4–360.8

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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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