阿根廷与秘鲁对比

阿根廷与秘鲁:热带夜

2014 年热带夜:阿根廷为 42.6 夜,秘鲁为 164.5 夜(CMIP6 气候模型中位数模拟)。 2014 年秘鲁的数值较高,高出 121.9 夜,是阿根廷的 3.86 倍。

每年夜数 · CMIP6

阿根廷与秘鲁:热带夜2014 年热带夜:阿根廷为 42.6 夜,秘鲁为 164.5 夜(CMIP6 气候模型中位数模拟)。 2014 年秘鲁的数值较高,高出 121.9 夜,是阿根廷的 3.86 倍。
阿根廷秘鲁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,秘鲁的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿根廷为 65.2 夜,秘鲁为 192.3 夜。

逐年数据

每年夜数 · CMIP6

年份阿根廷秘鲁
201442.6164.5
201341.8163.1
201241164.8
201141.5164.3
201040.8163.3
200941.6162.3
200841.4162
200739.6159.8
200639.3159.1
200540.1159.3
200440.6161.8
200338.7160.5
200240.2159.9
200139.5160.7
200039.5158
199938.4155.7
199838.8157.4
199738.5156.1
199637152.2
199535.7152.1
199434.7150.8
199334.3148.5
199233.4144
199136.8156
199036158.3
198937153.2
198836.9151.2
198736.1152
198636.4153.4
198536149
198434.7148.3
198335.2145.4
198235.7151.4
198137.3153.1
198036.3150.9
197937.5150.5
197835.7149.1
197735.1150.3
197635.7147.5
197534.8142.1
197435.4148.6
197334.1151.5
197235.5147.6
197134.7145.7
197034.9145.6
196933.4147
196834.6146
196733142.3
196634.3145.7
196532.2143.3
196430.3141.6
196332135.9
196235.2148.9
196135.6146.5
196035.6149.8
195934.5146.1
195833.3149.1
195735.7148.7
195635144
195534.4148.3
195433.6148.7
195335.8148.2
195234.4148.1
195135.4147.2
195033.9147.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份阿根廷秘鲁
201544.433.5–53.4164.3148.5–174.9
201643.532.4–53.4163.4149.8–171.5
201742.834.2–52.6165.5155–175.2
201842.632.7–52.6165152.9–176.6
201943.633.4–53.1163.7151–176.8
202045.735.5–57.2165.3151.6–176.2
202145.634.3–56.4167.6154.7–177.3
202244.633.3–56.4169.5156.6–179.2
202344.934.9–53.9167.1156.3–178.4
202445.834.2–57.5170.6157.3–180.2
202546.536–58.1168.6155–179.9
202647.936.7–57167.8153.3–179.7
202746.434.5–56.3168.3155.2–178.8
202846.133.5–58.5169.8158.3–179.9
202948.336–58.8174162.8–181.7
203047.835.4–60.3168.1153.2–180.6
203146.935.5–58.7172.5156.2–183.7
20324837.9–59.7173.2162.7–184.7
203347.436.7–57.6172156.5–181
203447.837.8–58.9171.6158.7–185.6
203547.339–59172159.3–184.1
203648.939.2–58.4172.5160.7–183.2
20375141.2–60.9175.6166.3–185.3
203848.737.9–59.7175.8164.6–184.9
203948.839.1–58.4174.1162.7–185
204050.440.4–62.3175.4163.9–187
204150.740.4–61.7176.5165.3–186.1
20425037.3–61.1176.3161.9–189.7
204350.340.5–61174.8163.7–185.3
20445240–65175.3161.9–188.2
204552.441.3–65.6177.3165.5–186.9
204651.941.2–62.7180.3167.4–189.9
204751.542–64178.6167.5–189
204854.542.6–65181.2168.2–192.2
204953.942.8–64.9180.4168.1–189.8
205052.543.6–62.4178.6166.4–190.8
205155.743.3–67.4180.3168.5–190.6
205255.642.2–67181.5170.8–191.7
205355.342.6–67.6179.5168.3–190.8
205454.743–66.7180.1167.3–193.9
205555.942.3–67.2181.7171–194.8
205657.642.8–68.6182.2170–193
205756.842.3–68.7181.6168.7–193
205854.841.5–68.1183.1169.4–195.5
205957.844.9–70.3184.6169.7–195.3
206056.943.4–67.9185.6171.1–197.1
206156.542.3–70.6182.7169.9–195.8
206257.345.8–68.5184.3168.7–196.9
206358.244.6–70.2184.6170.8–196.9
206458.845.8–71.5184.4170.1–194.8
206558.746–71.1186.3173.3–196.9
206659.947–68.9185.6172.3–197.4
206758.944.8–71.5184.3169.4–198.2
206857.844.3–70.3186.1172.1–198.3
206959.445.4–70.5184.9169–198.3
207061.348.2–74.3185.4171.8–198.4
207160.148.7–73.2187.3173.3–198.7
207260.146.7–73.7188.1174.9–199.8
207360.847.6–73.5187.6175.9–202.1
207460.447.6–73.7186.4169.5–198.9
207561.347.9–73.9186.4170.6–198.3
207661.146.8–75.8188.8174.2–201
207760.647.1–73.1189.1174.7–201.8
207863.449.4–75.6188.4175.6–202.3
207959.948.7–73188172–199.7
20806348.1–75.5189.1172.8–201.7
208161.448.7–73.5188.4173.6–201.8
208261.747.7–75188.8174.8–199.7
208362.148.2–75.6189.9175.7–204.7
208462.950.3–76190.7176.3–204.4
20856246.9–76.4192176.2–204.6
208662.749.4–76.4189.1175.4–204
208761.847.9–74.9189.1175.9–203.6
208864.450.8–77.5191.1174.7–204.9
208962.749.3–76.3190.1174.3–203
209064.152.5–77.1190.4177–206.2
209164.451.7–78.3192.6174.4–205.9
209265.650.8–78.3192.6176.6–204.7
209362.749.7–76.8190.6176–206
209463.950.1–78.5192.3178.2–204.1
209562.948.8–77.9193.4176.5–207.3
209664.749.4–78.9191.4176.2–207.6
209764.552.4–80.1190.7174.9–202.2
209865.652.7–78.7192.9177.8–208.9
209965.249.3–80.2191.5176.8–205
210065.250–81.7192.3176.6–205.6

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

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