阿根廷与墨西哥对比

阿根廷与墨西哥:热带夜

2014 年热带夜:阿根廷为 42.6 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年墨西哥的数值较高,高出 61.1 夜,是阿根廷的 2.43 倍。

每年夜数 · CMIP6

阿根廷与墨西哥:热带夜2014 年热带夜:阿根廷为 42.6 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年墨西哥的数值较高,高出 61.1 夜,是阿根廷的 2.43 倍。
阿根廷墨西哥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,墨西哥的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿根廷为 65.2 夜,墨西哥为 142.8 夜。

逐年数据

每年夜数 · CMIP6

年份阿根廷墨西哥
201442.6103.7
201341.8103.9
201241102.8
201141.5102.9
201040.8101.5
200941.6101.8
200841.4100.1
200739.699.1
200639.399.8
200540.199.5
200440.699.4
200338.798.3
200240.299.1
200139.598.7
200039.597.9
199938.496.6
199838.895.8
199738.595.9
19963793.8
199535.792.7
199434.790.7
199334.389
199233.488.5
199136.893.4
19903694.9
19893793
198836.992.1
198736.192
198636.490.2
19853690
198434.788
198335.286.7
198235.788.7
198137.391.5
198036.390.1
197937.590.8
197835.789
197735.189
197635.789.1
197534.886.8
197435.487.9
197334.188.6
197235.587.7
197134.786.8
197034.986.1
196933.487.5
196834.687.1
19673386.7
196634.386.4
196532.284.9
196430.384.7
19633287.1
196235.288
196135.689.5
196035.689.7
195934.589.6
195833.389.1
195735.789
19563588.5
195534.488.2
195433.688.4
195335.888.6
195234.487.8
195135.489.4
195033.988.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份阿根廷墨西哥
201544.433.5–53.4106.192.9–118.4
201643.532.4–53.4107.695–120
201742.834.2–52.6108.696.3–119.7
201842.632.7–52.610997.1–120.4
201943.633.4–53.1110.396.4–123
202045.735.5–57.2109.696.8–121.8
202145.634.3–56.4111.296.9–124.1
202244.633.3–56.4109.796–121.7
202344.934.9–53.9111.898.6–125.3
202445.834.2–57.5112.298.2–126.2
202546.536–58.111298.8–125.8
202647.936.7–57113.999.5–126.4
202746.434.5–56.3112.999.5–128.3
202846.133.5–58.5115.2101.9–127.9
202948.336–58.8115.6101.9–127.9
203047.835.4–60.3115.9101.7–128.4
203146.935.5–58.7116.1100.9–129.9
20324837.9–59.7116.1102.5–129.1
203347.436.7–57.6117.5102.5–131.1
203447.837.8–58.9117.2104.1–130.3
203547.339–59116.4103.1–130.3
203648.939.2–58.4117.8105.1–131
20375141.2–60.9118.6104.3–131.7
203848.737.9–59.7121107.5–133.4
203948.839.1–58.4121.3107–135.6
204050.440.4–62.3121.9108.1–135.1
204150.740.4–61.7121.3105.3–134.6
20425037.3–61.1122.7107.7–137.1
204350.340.5–61122.4108.1–137.5
20445240–65121.9108–135.6
204552.441.3–65.6123.1108.8–139.2
204651.941.2–62.7123.8109.9–139.4
204751.542–64125.6111.9–139.4
204854.542.6–65126.3113–140.3
204953.942.8–64.9127111.2–140.8
205052.543.6–62.4128.1112.6–142.5
205155.743.3–67.4127.2113.4–140.8
205255.642.2–67126.2112.5–141.1
205355.342.6–67.6128.4111.5–142.7
205454.743–66.7128.1113.1–142.3
205555.942.3–67.2129114.4–144.7
205657.642.8–68.6129.5114.3–143.8
205756.842.3–68.7130.3113.5–145.9
205854.841.5–68.1128.8114.1–144.5
205957.844.9–70.3129.5114.5–144.5
206056.943.4–67.9131.4115.5–146.5
206156.542.3–70.6131.3118.4–146.8
206257.345.8–68.5130.8115.1–146.3
206358.244.6–70.2131.2115.6–147.9
206458.845.8–71.5132.2116.5–147.8
206558.746–71.1133.1115.8–148.6
206659.947–68.9133.3117.2–149.4
206758.944.8–71.5133.3117–150.3
206857.844.3–70.3134.6117.4–150.5
206959.445.4–70.5134.4117.8–150.9
207061.348.2–74.3134.2116.7–151.8
207160.148.7–73.2136.3120.8–152.7
207260.146.7–73.7137.2119.9–153.1
207360.847.6–73.5136.1119.1–153.6
207460.447.6–73.7136119.7–152.2
207561.347.9–73.9135.2118.5–151.8
207661.146.8–75.8136.3117.4–154.7
207760.647.1–73.1136.8119.6–152.8
207863.449.4–75.6137.1118.3–154.2
207959.948.7–73138.1121.3–157.1
20806348.1–75.5137.6120.5–157.9
208161.448.7–73.5137.8120.7–154.7
208261.747.7–75138.7121.6–155.2
208362.148.2–75.6139.2119.3–158.8
208462.950.3–76140.3123.4–157.5
20856246.9–76.4139.2120.9–157.2
208662.749.4–76.4139.8121–157.8
208761.847.9–74.9139.5121.5–157.4
208864.450.8–77.5141121.8–159.9
208962.749.3–76.3140.4121.7–158.9
209064.152.5–77.1141.2123–160.7
209164.451.7–78.3141.8123–161.6
209265.650.8–78.3141.3122.5–159.3
209362.749.7–76.8141.4124.3–161
209463.950.1–78.5142123.3–159.6
209562.948.8–77.9143.5124–160.7
209664.749.4–78.9142.3125–161.3
209764.552.4–80.1141.2123.2–160
209865.652.7–78.7142.2122.5–162
209965.249.3–80.2141.8122.4–160.7
210065.250–81.7142.8124.3–160.8

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

阿根廷与墨西哥对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境