阿根廷与洪都拉斯对比

阿根廷与洪都拉斯:热带夜

2014 年热带夜:阿根廷为 42.6 夜,洪都拉斯为 176.7 夜(CMIP6 气候模型中位数模拟)。 2014 年洪都拉斯的数值较高,高出 134.1 夜,是阿根廷的 4.14 倍。

每年夜数 · CMIP6

阿根廷与洪都拉斯:热带夜2014 年热带夜:阿根廷为 42.6 夜,洪都拉斯为 176.7 夜(CMIP6 气候模型中位数模拟)。 2014 年洪都拉斯的数值较高,高出 134.1 夜,是阿根廷的 4.14 倍。
阿根廷洪都拉斯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,洪都拉斯的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿根廷为 65.2 夜,洪都拉斯为 279.1 夜。

逐年数据

每年夜数 · CMIP6

年份阿根廷洪都拉斯
201442.6176.7
201341.8181.1
201241181.4
201141.5180.5
201040.8176.9
200941.6174.4
200841.4170.5
200739.6171.8
200639.3171
200540.1171.6
200440.6174.2
200338.7170.2
200240.2169.1
200139.5168.2
200039.5164.8
199938.4162.2
199838.8163
199738.5160.4
199637154.7
199535.7152.5
199434.7151.9
199334.3149
199233.4145
199136.8156.7
199036162.1
198937153.8
198836.9151.1
198736.1151.9
198636.4151.3
198536146.1
198434.7147.5
198335.2143.7
198235.7148.4
198137.3150.9
198036.3147.8
197937.5148.9
197835.7146
197735.1148.6
197635.7145.5
197534.8141.8
197435.4146.8
197334.1145.1
197235.5140.4
197134.7141.1
197034.9140.6
196933.4142.2
196834.6141.9
196733138.4
196634.3139.9
196532.2138.1
196430.3138.4
196332136.8
196235.2144.2
196135.6145.5
196035.6146.1
195934.5143.3
195833.3147.6
195735.7144.5
195635143.8
195534.4146.3
195433.6144
195335.8143.2
195234.4143.6
195135.4145.5
195033.9143.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份阿根廷洪都拉斯
201544.433.5–53.4186.4151.3–215.3
201643.532.4–53.4185.7154.8–211.9
201742.834.2–52.6194.4164.9–215.2
201842.632.7–52.6190.6168.8–218.5
201943.633.4–53.1189161–221
202045.735.5–57.2196.8164.4–223
202145.634.3–56.4199.3176.3–226.8
202244.633.3–56.4202.9173–227.6
202344.934.9–53.9198.1175.2–230.1
202445.834.2–57.5204.7177.9–233.2
202546.536–58.1202.7173.9–230.8
202647.936.7–57206.8174–235.2
202746.434.5–56.3206.5177.9–235.7
202846.133.5–58.5211.3184–238.7
202948.336–58.8210.3185.4–244.5
203047.835.4–60.3208.9176.9–241.7
203146.935.5–58.7217.3187.1–246.4
20324837.9–59.7218.9194.5–247.9
203347.436.7–57.6213.3188.2–239.7
203447.837.8–58.9211.3186.1–248.7
203547.339–59215.3184.2–248.2
203648.939.2–58.4215.5194.1–242.5
20375141.2–60.9226.4202.4–251.6
203848.737.9–59.7228.9198.7–256.2
203948.839.1–58.4224.4196.6–256.2
204050.440.4–62.3225.1201–258
204150.740.4–61.7225.9203–251.8
20425037.3–61.1229.3200.2–262.8
204350.340.5–61224.4199–262.5
20445240–65224.8201.2–262.7
204552.441.3–65.6231206.1–262.3
204651.941.2–62.7236.9204.5–267.7
204751.542–64236.3213.3–269.3
204854.542.6–65241.2216.7–268.9
204953.942.8–64.9244.8213.5–270.7
205052.543.6–62.4241.1207.2–277.8
205155.743.3–67.4239.9210.5–270.2
205255.642.2–67245.1215.7–271.2
205355.342.6–67.6240.8211.7–277.5
205454.743–66.7243.9220.4–286.6
205555.942.3–67.2248.1220.1–282.1
205657.642.8–68.6245.6213.1–279
205756.842.3–68.7249.4214.2–279.1
205854.841.5–68.1248.4217.2–289.1
205957.844.9–70.3252.6220.5–283.1
206056.943.4–67.9256.8225.2–289.4
206156.542.3–70.6254.5220.4–285.9
206257.345.8–68.5252.8217.4–291.1
206358.244.6–70.2258.7226.2–288
206458.845.8–71.5252.1224.1–285.7
206558.746–71.1258.1226.9–288.9
206659.947–68.9256.4227.7–287.4
206758.944.8–71.5258.3228.2–294.9
206857.844.3–70.3264.6231.2–295
206959.445.4–70.5258.1229.3–292
207061.348.2–74.3256.9225.3–297.9
207160.148.7–73.2261.9231–292.9
207260.146.7–73.7267.3235.2–300.4
207360.847.6–73.5268.1233.7–304.7
207460.447.6–73.7263.7234.2–295.9
207561.347.9–73.9262.1229.5–295.4
207661.146.8–75.8266.8231.8–298.5
207760.647.1–73.1268.6232.1–298.8
207863.449.4–75.6270.1236.8–299.6
207959.948.7–73265.3229.5–304.2
20806348.1–75.5268.4230.2–304.2
208161.448.7–73.5268231.9–300.8
208261.747.7–75267.4230.2–301.8
208362.148.2–75.6268.3236.2–307.4
208462.950.3–76273.9235.2–307.1
20856246.9–76.4276.4234.2–305.9
208662.749.4–76.4267.9238.8–305.2
208761.847.9–74.9270.4233.7–301.8
208864.450.8–77.5277239.9–310.2
208962.749.3–76.3275.4246–309.8
209064.152.5–77.1275.3244.1–307
209164.451.7–78.3281.9240.6–310.6
209265.650.8–78.3277.1245.6–312.3
209362.749.7–76.8272.8244.2–311.6
209463.950.1–78.5274.9245.2–308.4
209562.948.8–77.9280.8244.6–313.5
209664.749.4–78.9275.2245.8–313.5
209764.552.4–80.1276247.2–305.4
209865.652.7–78.7278.9238.9–313.4
209965.249.3–80.2280.8240.6–312.8
210065.250–81.7279.1248.3–309.6

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

阿根廷与洪都拉斯对比

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