日本与泰国对比

日本与泰国:热带夜

2014 年热带夜:日本为 58.6 夜,泰国为 286.4 夜(CMIP6 气候模型中位数模拟)。 2014 年泰国的数值较高,高出 227.8 夜,是日本的 4.89 倍。

每年夜数 · CMIP6

日本与泰国:热带夜2014 年热带夜:日本为 58.6 夜,泰国为 286.4 夜(CMIP6 气候模型中位数模拟)。 2014 年泰国的数值较高,高出 227.8 夜,是日本的 4.89 倍。
日本泰国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,泰国的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年日本为 87.7 夜,泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份日本泰国
201458.6286.4
201359.9289.1
201259.3286.6
201157.9286.4
201059.6286
200957.6286.9
200857.3284.8
200756.6283.2
200657.5284.3
200557.2281.7
200456.7287.5
200356.1279.3
200256280
200154.2285.5
200053.8283.4
199955.3282.5
199852.4282.7
199752.4284.8
199652.9279.8
199549.7278.7
199449.5280.8
199345.4275.6
199245.1268.8
199149.4276.7
199050.7279.2
198951.4278.4
198848.1279.6
198747.7277.9
198646.1277.5
198546.7276
198444.8277.9
198341.9273.9
198246.4275.7
198145.9277.8
198046.5277.9
197946.7278
197847.6276
197745.8277.3
197646275.6
197546.9274.4
197445.6276
197344.3280.6
197245.8273.9
197144.8273.2
197044276
196946.9274.8
196845.7277
196748.3270.3
196645.9274.4
196545.8275.8
196444.9271.9
196348.3274.7
196245.6275.4
196148.9278.5
196046.4276.2
195946.9274.4
195848.8278.7
195749.2277.4
195650.6277
195547.9274.6
195446.9275
195349.2275.4
195249.5275.1
195146.2277.5
195049.9276.2
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份日本泰国
201560.649.3–74.4290.6272.2–305
201661.547.9–73.9287.1269.8–306.2
201762.352.1–75.8290273.8–302.8
201860.548.5–73.8292.6275.1–308.7
201964.152.1–80.1291.2272.8–306.7
202063.151–74.5292.4272.2–307.8
202162.348.5–78.8294.2276.3–308.5
202264.653.8–76.5294.8277.2–311.9
202365.951.7–78296.1281.9–310.2
202465.352.9–80.7291.7275.5–307.8
202565.652.8–80.4294276.7–306.3
202665.554.2–81.2296278–309.3
202766.452.9–79.5295.8276.3–311.1
202865.352.4–80.1297279.3–315.1
202968.555–80.4300.3278.7–315
203066.552.3–80.6297.7280.2–312.5
203166.554.7–80300.8282.8–317.1
20326650.8–82.1297.2280.9–311.4
203370.354.7–84.8300281.9–315.8
203468.553.9–81.7300.8279–318.4
203572.960.4–84.6298.6281.5–317.8
203672.556.1–89.7300.4279.9–316.9
203767.656.7–82.5299.8280–315.1
203870.558.6–83.8304.8286.6–319.3
203970.455.6–85.7300.9281.9–317
204073.657.4–89.3301.6284.5–315.7
204172.955.6–88.5303.1285.1–318.8
204271.258.1–86.4303.8290–318.3
204373.357.9–88.1302285.8–317.9
204472.657.8–85.5304.3286.3–318.8
204572.959.5–86.7307.1287.7–324.2
204676.261–90.3305.9285.2–321
204775.656.6–89.3306.6289.5–321.5
204874.858.5–89.4309.4288.9–325.7
204974.359.7–90.8308.1287.2–324.1
205075.160.8–89.3307.5291–321.5
205175.861.1–92.4312.8294.8–326
205274.557.9–90.4310.9291.2–323.4
205378.559.6–91.6308.3289.5–323.3
205475.959.6–89.3308.8292.8–322.3
205576.862.2–95.1308.6290.6–325.1
205677.861.9–93.7311.3294.9–326.3
205779.962.8–94.4308.5286.7–326.4
205879.263.7–94.9308291.1–325.1
205979.858–95.6312.7295.8–325.3
206078.261.1–95.1313.1294.6–328.6
206180.865.7–96.7314.4289.5–331.1
20628063.6–96.3311.4293.4–330.3
20638064.1–96.5314.8296.9–327.3
206477.661.4–95.2312.5295.4–330
206581.763–97.4309.6293.1–329.3
206680.363.8–94.2312.1292.6–328
206781.363.2–97.1311.2289.6–329.4
206879.861.4–99.3310.8292.4–330.6
206982.365–96.1315.5296.1–329.5
207083.360.2–102.3314.2292.9–330.7
207183.663.6–99.2313.8296.4–330.8
207284.363.3–99.1314.8296–329.6
207383.564.9–97.4316.5299.9–332.1
207484.366.8–100.9317.2295–333.8
207585.664.1–99.8317.2295.3–331.4
207683.968.8–99.3317.4299.8–335
207786.467.6–102.4317.5297.3–335.9
207884.167.7–103.2315.9297.1–331.6
207986.168.3–99.4318.5300.5–332.3
208084.767.6–103.7319.8297.4–337.5
208183.668.5–104.3317.7299.5–334.9
208286.469.4–107.7317.9294.8–333
208385.966.5–105.7315297.8–332.9
208485.867.4–102.3316295.5–330
208587.568.9–102.8322.6300.8–334.7
208684.668.6–105.3319.4295.2–335.2
208787.270.3–107320.2302.2–334.7
208886.866.3–102.5321.4299.8–334.8
208985.765.9–103.8318.9296.4–338.1
209089.469.5–104.4317.6304–337.4
209188.367.4–103.1320.1299.8–336.1
20928667.7–102.3316.3298–336.4
209388.969.8–107.4316.1297.7–333.7
209487.569.3–103.7323.4301.8–337.3
20958872.4–104.9322.9302.4–338.9
209690.771–107.3319.6302.8–336.7
209789.471–103.1319.8299.1–336
209888.571–106.5320.5303.9–336
209988.370.8–102.4319.9303.1–334.4
210087.769.2–106.2320.8301.1–336.7

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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。

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