阿根廷与越南对比

阿根廷与越南:热带夜

2014 年热带夜:阿根廷为 42.6 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年越南的数值较高,高出 200 夜,是阿根廷的 5.69 倍。

每年夜数 · CMIP6

阿根廷与越南:热带夜2014 年热带夜:阿根廷为 42.6 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年越南的数值较高,高出 200 夜,是阿根廷的 5.69 倍。
阿根廷越南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,越南的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿根廷为 65.2 夜,越南为 282.7 夜。

逐年数据

每年夜数 · CMIP6

年份阿根廷越南
201442.6242.6
201341.8243.6
201241242.4
201141.5241.9
201040.8240.9
200941.6240
200841.4238.7
200739.6238
200639.3239.1
200540.1238.3
200440.6241.8
200338.7235.9
200240.2236.3
200139.5241.3
200039.5237
199938.4236
199838.8236.8
199738.5237.1
199637231.4
199535.7229.9
199434.7231.2
199334.3225.3
199233.4221.9
199136.8229.8
199036233.1
198937229.2
198836.9231.7
198736.1230.3
198636.4230.9
198536228
198434.7230.2
198335.2224.9
198235.7227.5
198137.3229.7
198036.3228.1
197937.5228.9
197835.7227.5
197735.1229
197635.7225.8
197534.8225.8
197435.4225.7
197334.1230.3
197235.5225.6
197134.7225.5
197034.9226.1
196933.4227
196834.6227.1
196733222.9
196634.3226.8
196532.2225.4
196430.3222.6
196332224.3
196235.2227.8
196135.6229.4
196035.6228.5
195934.5226.2
195833.3230.9
195735.7228.4
195635228.7
195534.4227.5
195433.6226.3
195335.8228.2
195234.4228.5
195135.4229.2
195033.9228.9
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份阿根廷越南
201544.433.5–53.4245.8228.2–261.9
201643.532.4–53.4243.7226.1–259.4
201742.834.2–52.6247229.6–260.7
201842.632.7–52.6248.3228.8–263.3
201943.633.4–53.1248.1229.2–262.8
202045.735.5–57.2248.8229.6–262.9
202145.634.3–56.4251.1233.1–266.7
202244.633.3–56.4252.4234.3–266.8
202344.934.9–53.9253.4235.4–266.6
202445.834.2–57.5251.3236.7–264.6
202546.536–58.1252.4234.1–266.2
202647.936.7–57252.8232.9–268.5
202746.434.5–56.3253.2237–268.8
202846.133.5–58.5254.3237.7–272
202948.336–58.8258.1238.5–273.7
203047.835.4–60.3256.4240.9–270.1
203146.935.5–58.7255.9241.2–270.9
20324837.9–59.7257.4239.1–269.9
203347.436.7–57.6258.3241.7–273.2
203447.837.8–58.9258.8240.7–275.8
203547.339–59258.6242.5–275.4
203648.939.2–58.4258.3239.1–273.8
20375141.2–60.9258.7242.4–272.4
203848.737.9–59.7263.4247.6–277.3
203948.839.1–58.4260.2243.7–275.9
204050.440.4–62.3260.1242.8–274.8
204150.740.4–61.7263.1245.9–279
20425037.3–61.1263.6246.5–279
204350.340.5–61261.4245.5–279.6
20445240–65263.2245.2–277.6
204552.441.3–65.6265.5249.6–281.4
204651.941.2–62.7264.9246.8–278.1
204751.542–64266.9250.4–282.9
204854.542.6–65268250.5–283.8
204953.942.8–64.9267.8251.2–284.8
205052.543.6–62.4268251.2–283.5
205155.743.3–67.4270.9254.3–285.4
205255.642.2–67268.3253.3–282.8
205355.342.6–67.6268.5250.1–283.2
205454.743–66.7269.1250.8–283.6
205555.942.3–67.2270249.8–284.2
205657.642.8–68.6271.7254.8–290.1
205756.842.3–68.7270253–285.7
205854.841.5–68.1270.7252.9–286.5
205957.844.9–70.3273257.6–286.6
206056.943.4–67.9275.7255.6–290.6
206156.542.3–70.6273.5254.6–289.5
206257.345.8–68.5271.4253.1–290.2
206358.244.6–70.2272.9252.7–288.1
206458.845.8–71.5273.8254.4–288.1
206558.746–71.1272255.8–286.3
206659.947–68.9271.8254.4–287.3
206758.944.8–71.5270.8252.1–287.6
206857.844.3–70.3275.6256.9–292.4
206959.445.4–70.5276.4258.5–292
207061.348.2–74.3274.6257.8–292.8
207160.148.7–73.2276.2255.2–294.1
207260.146.7–73.7277256.8–291.4
207360.847.6–73.5278.5262.7–293.4
207460.447.6–73.7277.6259.2–295.8
207561.347.9–73.9276.4258.7–294.4
207661.146.8–75.8279.2258.5–296.6
207760.647.1–73.1280264.9–294.7
207863.449.4–75.6278.4258.6–295.5
207959.948.7–73279.3263.4–293.6
20806348.1–75.5280261.4–296.5
208161.448.7–73.5280.4261.2–297.9
208261.747.7–75280.9258.9–296
208362.148.2–75.6278.4261.6–295
208462.950.3–76279257.4–293.8
20856246.9–76.4281.3265–297.8
208662.749.4–76.4282.3260.2–297.5
208761.847.9–74.9281.9261.3–300.7
208864.450.8–77.5283.1265.7–301.5
208962.749.3–76.3280.8261.2–301.6
209064.152.5–77.1280.5264.5–297.6
209164.451.7–78.3283.3264.3–298.9
209265.650.8–78.3281.1261.5–299.4
209362.749.7–76.8280.5263.4–296.1
209463.950.1–78.5283264.5–300
209562.948.8–77.9285.5264.5–302.9
209664.749.4–78.9281.8264.8–299.8
209764.552.4–80.1281.5263.3–299
209865.652.7–78.7282.5263.9–301.5
209965.249.3–80.2282.7265.1–298
210065.250–81.7282.7261–298.2

分别查看各国

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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