阿根廷与尼日利亚对比

阿根廷与尼日利亚:35 °C 以上天数

2014 年35 °C 以上天数:阿根廷为 13.5 天,尼日利亚为 107.4 天(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 93.9 天,是阿根廷的 7.98 倍。

每年天数 · CMIP6

阿根廷与尼日利亚:35 °C 以上天数2014 年35 °C 以上天数:阿根廷为 13.5 天,尼日利亚为 107.4 天(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 93.9 天,是阿根廷的 7.98 倍。
阿根廷尼日利亚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,尼日利亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿根廷为 27.2 天,尼日利亚为 163.6 天。

逐年数据

每年天数 · CMIP6

年份阿根廷尼日利亚
201413.5107.4
201313.2104.3
201214.1104.4
201113.3103.7
201013.1101.1
200912.699.4
200812.498.6
200711.797.4
200611.397.9
200511.597.2
20041299.2
200311.298.2
200212.798.3
200112.7102.2
200010.996.3
19991192.3
199811.391.6
199712.895.2
199611.689.5
19959.690.2
19949.286.1
19939.183.5
1992981.3
19919.694.2
19908.895
198910.989.3
198810.593.4
198710.590.4
198610.493.2
198510.787
19849.689.5
19839.688.5
19829.589.6
198110.991.9
198010.889.5
197911.289.8
197810.688
19779.788.4
197610.483.6
19759.587.3
197410.584.9
1973988.3
19729.787.1
19719.284.5
19709.987.3
19699.487.1
1968984.9
19678.684.8
19669.985.7
19658.985.7
19647.177.7
19638.881.7
19621189.3
196110.291.6
196011.191.4
195910.588.3
19589.689.9
195710.791.2
195610.684.6
19559.888.4
19549.688.8
195310.991.7
195210.787.9
195110.592.1
19509.488.9
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份阿根廷尼日利亚
201514.78.1–22.2105.581.2–130.1
201613.66.8–22101.478.2–120.6
201714.26.9–22.410680.5–130.9
201813.35.6–21.6105.177.2–129
201914.56.9–23104.378.3–130.3
202015.88.4–24.8104.778.2–130.2
202115.38–24.6104.885.2–128.6
202213.36.7–22.2111.184.4–135.5
202314.99.3–22.1106.585.6–130.6
202415.87.6–24114.493.3–136.4
202516.410.2–23.4112.191.1–132
2026189.4–26.5108.574.8–133.8
202716.49.1–26.2114.581.7–136.4
202815.67.6–26.5113.487.6–141.8
202915.97.3–26.3116.591.5–141
203016.39.8–27.4117.785.5–145.3
203115.88.1–24.9116.388.2–141.7
203215.78.9–25.4118.785.8–144.2
203316.18.4–25.7118.490.6–146
203416.110.4–24.9117.689–144.4
203516.810.2–27.512087.5–144.3
203618.310.9–27.9116.889.2–143.5
203718.310.2–27.3124.790.9–151.6
203816.89.1–24.7126.696.2–152.6
203917.39–25.8122.697–147.4
204018.311.3–28.3121.193.5–153.7
204119.310.7–29.3127.599.5–154.2
2042189.9–27.112896.1–152.5
2043189.5–27.5124.298.9–149.7
204419.49.7–30.2125.496.3–152.8
204520.511.8–30.1129.499.4–156.4
204619.612–28.2135.999.9–158.5
204719.78.9–31.3135.299–159.5
204819.610.8–28.6133.1103.7–160.3
204920.411.6–30.7135.4104.4–161.8
205019.910.4–28.4131.3102–166.4
205120.511.5–30.8131.6106.2–166.5
205221.610.9–33.4139.6101.6–171.1
205320.411.3–30.2135.1105–166.8
205419.712–31.9139102.4–172.2
205521.310.1–34.1140113.8–172.2
205620.510.5–32.4141.8102.8–177.8
205721.711.5–34.7148.8113.3–178.3
205821.312.4–33.2140112–171.9
205921.612.4–32.7142.3114.3–176.6
20602211.2–33.3144.3110.6–176.5
20612310.8–34.9145109.2–180.3
20622212.1–32.7146111.1–181.8
206324.114–33.8147.1114.5–182.6
206424.115.3–39.2146.4112.8–179.9
206523.712.7–34.9149.2116.8–179
206624.715.7–35.1148.8117.8–185.3
206724.912.6–37142.6114.9–185.1
206823.712.3–36.3152.4114.1–187.8
20692514–35.5148.2114.1–185.4
207024.413.3–37.1151.6111–187.8
207123.913.1–36.8155.2117.6–192.8
207223.814.5–38.9155.2118.4–190.6
207325.314.6–39.1154.8115.7–196.8
207424.511.6–36.9151.6114.2–195.8
207525.312.9–38.6158.4117.9–190.2
207623.713.4–36.3154.5120–193.1
207724.615.3–36.4164121.3–203.7
207826.213.8–39.4158.9117–196.9
207923.913.4–36.8157.6123.7–192.5
208025.413.8–40.8161.3118.7–197.4
20812514.2–38158.9119.1–200.5
20822413.3–36.3156.9118.5–201.5
208325.415–39.2160.4121.6–203.2
208422.512.1–36157.7118.3–198.5
208523.412.2–36.2165.1122.6–201.9
208625.214–39.1160.4122–201.3
20872614.4–37.2164.1121.4–199.1
208826.214.9–40.2162.3124.7–205.8
208927.315.3–38.2157.8122.5–206.2
209027.115.8–41.5163124.3–204.5
209128.315.4–42.5167.5124.5–204.5
209229.316–42173.2125.1–206.7
20932615.1–44.6166.1126.9–212.1
209427.714.9–41167.8130.5–205.1
209526.713.8–43.1173.9123–212.7
209627.114.5–42.2164.5127.5–213
20972715.3–41.1161.2123.5–206.8
209826.715.9–42.2167.8128.2–206.2
209927.615.3–41171129.1–212.5
210027.214.1–45.4163.6126.1–210.4

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须知

  • 一年中最高气温超过 35 °C 的天数,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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