马达加斯加与津巴布韦对比

马达加斯加与津巴布韦：35 °C 以上天数

2014 年35 °C 以上天数：马达加斯加为 3.9 天，津巴布韦为 15.9 天（CMIP6 气候模型中位数模拟）。 2014 年津巴布韦的数值较高，高出 12 天，是马达加斯加的 4.04 倍。

在地图上查看其变化

每年天数 · CMIP6

马达加斯加与津巴布韦：35 °C 以上天数2014 年35 °C 以上天数：马达加斯加为 3.9 天，津巴布韦为 15.9 天（CMIP6 气候模型中位数模拟）。 2014 年津巴布韦的数值较高，高出 12 天，是马达加斯加的 4.04 倍。
马达加斯加津巴布韦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，津巴布韦的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年马达加斯加为 29.3 天，津巴布韦为 58.2 天。

逐年数据

每年天数 · CMIP6

年份马达加斯加津巴布韦
20143.915.9
20134.417.1
20123.615.7
2011412.5
20103.715.3
20092.713
2008313.5
20073.214.3
20062.512.9
20053.314.6
20043.316.2
20033.615.4
2002314.9
2001314.6
20002.815.1
19992.312.5
19982.513.2
19972.412
199629.7
19951.510.5
19941.89.8
19931.57.4
19921.47.9
19911.68.9
19902.810.9
19892.512.1
19882.511.6
1987210.5
19862.510.4
19851.78.9
198428.9
19831.89
19821.39.2
19811.99.7
19801.910
19791.89.3
19781.48
19771.79.4
19761.47.4
19751.710
19741.811
19731.510
19721.58.2
19711.28.4
19701.49.1
19691.99.3
19681.68.6
196717.4
19661.47.5
19651.38.4
19641.36.2
19631.16.3
19621.79.1
19611.58.8
19601.79
19591.89.6
19581.610.2
19571.39.9
19561.37.9
19552.111.2
19541.68.8
19531.48.6
19521.59.4
19511.48.3
19501.89
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份马达加斯加津巴布韦
20154.81.7–11.417.19.2–27.4
20164.31.4–10.817.37.9–31.7
20174.71.8–9.6189–29.3
20185.21.3–12.618.78.6–33.5
20195.11.6–11.318.48.7–28.5
20205.61.9–10.82211.6–34.5
20214.51.4–10.417.48.9–31.5
20226.31.9–12.322.111.3–34.2
20236.82.3–12.923.914.6–37.2
202461.9–11.422.712.2–35.4
20255.41.7–13.219.47.7–35.5
20266.12–14.723.213.8–35.1
20277.52.5–14.124.313.2–47.8
20286.62.3–13.423.213.4–42.3
20297.71.8–1626.913.5–41.7
203072.4–15.724.713.5–44.4
20317.22.9–14.621.710.1–43.4
20327.73.1–19.123.913.4–37.9
20338.83.1–16.928.314.5–44.9
20349.43.5–18.630.915.4–52.5
20359.54–19.42714.6–44
20367.73–15.425.613–44.1
203710.14–1829.415.2–46.3
203810.15–17.23316.3–54
20399.63.5–19.526.413.6–43.8
20408.33.6–18.82414.1–43.5
20419.13.8–1929.216.6–45.4
204210.95.4–21.430.917.6–52.3
204310.53.5–19.232.416–51.2
204410.33.5–21.130.117.1–50.7
20459.34.2–18.729.414.1–46.6
204611.73.8–20.83318.1–50.4
204712.64.4–24.632.717.6–52.7
204812.95.5–23.935.519.2–56.3
204912.34.8–23.134.619.8–57.8
205013.35–24.338.920–58.3
205113.46.8–25.437.319.7–65.6
205214.96.6–26.142.321.3–67.1
205313.35.3–2735.519.9–56.4
205414.36.1–29.843.823–73.8
205517.36.2–30.340.622.1–66.4
205615.35.4–29.937.819.9–64.7
205716.86.5–27.936.319.8–63.3
205815.76.3–31.738.519.1–60.6
205916.48.1–29.146.824.8–70.1
206014.85.7–28.442.620.1–66.8
2061156.3–28.742.920.8–66.2
206215.97.6–32.439.224.1–65.6
2063198–34.340.424.4–62.1
2064177.6–27.54122.2–59.1
206518.19–34.74523.3–75.1
206617.66.9–35.142.423.1–67.5
206715.87.1–31.238.622.2–72.6
206819.87–39.142.622.4–65
206919.66.1–3645.524.4–72.1
2070198.1–38.84223.8–65.3
207119.67.3–40.843.622.9–68.4
207221.58–38.147.623.8–70.9
207323.48.7–42.352.827.6–86.9
2074208.4–40.349.329–82.9
2075208.7–36.641.824.5–70.4
207624.29.4–38.244.125.3–76.6
207721.78.3–4047.728.3–86.8
207822.310.2–42.847.125–73.2
2079217.4–39.948.326.6–83
208025.17.6–41.354.828.1–82.5
208122.18.9–38.449.525.8–88.8
208222.29.7–36.446.129–81.5
208321.69.8–41.346.623.8–90.9
2084239.5–3952.128.9–75.3
208525.210.3–46.657.231.7–91.8
208622.311.7–41.249.230–75.3
208724.910.5–44.352.130.2–87.7
208824.87.7–48.558.629.2–86.4
208926.29.8–52.555.432–84.2
209026.610.2–49.354.730.4–83.6
209126.59.7–52.95226.4–87.2
209226.99.5–48.756.332.9–86.5
209326.28.8–53.653.624.6–86.7
209426.710.8–45.361.331.2–91.4
209528.112.6–44.956.329.4–87.6
209625.19.8–5152.230.1–86.6
209722.99.9–47.248.627–81.7
209826.79.7–4755.831.3–98.2
20992810.4–48.354.931.1–96.5
210029.312.2–51.158.229.4–85.2

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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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