安哥拉与卢旺达对比

安哥拉与卢旺达：35 °C 以上天数

2014 年35 °C 以上天数：安哥拉为 6.8 天，卢旺达为 0 天（CMIP6 气候模型中位数模拟）。 2014 年安哥拉的数值较高，高出 6.8 天。

在地图上查看其变化

每年天数 · CMIP6

安哥拉与卢旺达：35 °C 以上天数2014 年35 °C 以上天数：安哥拉为 6.8 天，卢旺达为 0 天（CMIP6 气候模型中位数模拟）。 2014 年安哥拉的数值较高，高出 6.8 天。
安哥拉卢旺达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，安哥拉的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年安哥拉为 40.2 天，卢旺达为 0 天。

逐年数据

每年天数 · CMIP6

年份安哥拉卢旺达
20146.80
20136.60
20126.70
20115.10
20105.70
20095.50
200850
20075.30
20064.50
20055.10
20046.40
20035.50
20025.30
20015.20
20004.70
19994.40
19984.80
19973.70
19962.50
19953.20
19943.10
19932.50
19921.80
199130
19903.50
19893.50
198830
19873.10
19863.40
19852.70
19842.60
19832.20
19822.30
198130
19803.10
19792.10
19782.50
197720
19761.80
19752.20
19742.40
197330
19722.40
19712.20
19702.40
19692.50
19681.90
19671.70
19661.80
19651.90
19641.60
19631.20
19622.20
19612.30
19602.40
19592.50
19582.40
19572.60
19561.80
19552.40
195420
19531.90
19522.50
195120
19502.40
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份安哥拉卢旺达
20157.72.3–15.600–0
20166.42.2–12.400–0
201772.4–13.300–0
20187.52.5–14.500–0
20197.11.9–15.600–0
20209.22.8–15.800–0
20218.53.8–16.500–0
20229.24.5–1700–0
202310.85.1–18.500–0
2024104.3–18.200–0
20259.53.7–20.800–0
2026115.6–21.600–0
2027115.4–20.300–0
202810.95.1–20.700–0
202912.56.7–21.100–0
203011.85.9–21.500–0
203112.24.9–23.500–0
203213.16.3–23.700–0
203312.65.6–23.200–0
203414.54.8–28.700–0
203514.14.4–26.400–0
203612.85.2–24.200–0
203714.46.1–27.900–0
203814.55.9–27.200–0
203913.94.7–25.400–0
204014.25.8–26.600–0
204116.98.1–29.800–0
2042178.3–30.900–0
204315.77.2–28.700–0
204415.15.8–27.400–0
204515.26.5–28.200–0
204618.68.8–35.400–0
2047209.1–33.300–0
204819.48.3–36.500–0
204918.98.9–36.300–0
205019.88.3–38.800–0
205119.310.1–3800–0
205221.69–4100–0
205320.811.3–37.500–0
205423.49.3–42.300–0
205522.311.3–41.600–0
205621.210.8–41.600–0
205722.610–46.500–0
205822.49.2–43.200–0
205924.612.4–45.200–0
206026.911.9–48.600–0
206126.59.8–48.200–0
206223.311.4–48.100–0
206323.310–4700–0
206424.911.5–49.300–0
206527.511.3–55.700–0
206626.111.3–52.400–0
206725.211.4–51.700–0
206825.812.4–46.500–0
206927.612.3–50.500–0
207027.211.5–53.600–0
207130.912.7–53.600–0
207228.913.8–48.400–0
207332.813.7–61.300–0
207428.414–58.700–0
207529.311.8–52.400–0
207632.811.3–59.900–0
207732.914.1–58.200–0
207831.514.4–61.900–0
207931.713.8–60.400–0
208032.214.1–59.600–0
208132.414.8–63.100–0
208232.115.6–66.500–0
208334.712.4–67.700–0
208434.614.2–59.600–0
20853817.2–65.300–0
208633.414–73.700–0
208734.415.7–66.400–0
20883513.6–68.500–0
20893818.2–63.800–0
209035.816.2–62.700–0
209138.215.2–7200–0
209236.115.9–71.300–0
209334.216.4–71.400–0
209439.317.9–69.900–0
209540.515.2–71.500–0.1
209638.214.4–68.200–0
209734.115.5–64.300–0
209836.914.6–74.500–0
209935.814.7–75.400–0
210040.214.4–70.700–0

分别查看各国

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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