印度与以色列对比

印度与以色列:35 °C 以上天数

2014 年35 °C 以上天数:印度为 80.6 天,以色列为 30.3 天(CMIP6 气候模型中位数模拟)。 2014 年印度的数值较高,高出 50.3 天,是以色列的 2.66 倍。

每年天数 · CMIP6

印度与以色列:35 °C 以上天数2014 年35 °C 以上天数:印度为 80.6 天,以色列为 30.3 天(CMIP6 气候模型中位数模拟)。 2014 年印度的数值较高,高出 50.3 天,是以色列的 2.66 倍。
印度以色列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,印度的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年印度为 111.9 天,以色列为 85.6 天。

逐年数据

每年天数 · CMIP6

年份印度以色列
201480.630.3
201379.229.7
201281.327.9
201179.929.6
201080.829.7
200978.426.8
20087728.9
20077925.8
200676.226.3
200579.926.2
200480.126.5
200376.928.6
200279.224.9
200180.126.4
200076.625.4
199977.125.1
199876.923.9
199775.421.2
199672.120.5
199575.419.9
199476.319.2
199372.316.1
199268.717.4
199178.120.3
199076.722.4
198975.520.7
198873.918.7
198775.319
198676.820.7
19857317.6
198475.914.6
198374.116.1
198276.118
198176.319
198075.319.6
197974.416.1
197874.416.7
197774.616.4
19767618.3
19757116.5
197475.818.1
197377.917.2
197271.118.2
197174.118.2
197073.717.4
196973.317.5
196872.215.5
196771.315.4
196675.315.6
196573.714.7
196468.915
196370.416.8
196274.217.2
196175.416.5
196075.419.7
195977.918
195874.818.6
195775.519.7
195675.618.5
195574.818.4
195475.315.9
195375.218.2
19527617.8
195176.318.3
195076.516.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份印度以色列
201581.664.7–9635.422.7–49.3
20168063.1–96.13222.7–48.1
201779.461.7–95.336.626.9–47.6
201882.461.5–95.737.726.5–50.4
201979.160.2–95.23727.2–50.2
202082.262.4–9940.527.5–54.7
202182.167.7–96.438.329.9–48.9
202283.962.8–100.341.828–54.5
202383.164–99.343.631.6–54.9
202484.766.4–100.34531.6–56.2
202581.662.4–97.145.327.6–56.7
202684.866.1–101.342.830–55.6
202783.563.7–10244.833–56.4
202882.862.9–99.945.331.2–56.1
202989.566–105.944.232.9–59.9
203084.265.7–100.245.134–56.7
203185.466.7–103.444.833.2–57
203285.665.5–105.349.336.9–60.5
203383.865.8–99.850.432.4–64.9
203485.467.4–104.848.932.1–62.4
203585.766.6–105.352.636.4–66.8
203684.565.5–101.846.537.2–62.3
203789.772.2–107.554.737.5–67.2
203890.269.1–107.154.234.6–71.5
203987.168.5–107.455.438.7–70.4
204087.566.6–10655.439.7–72.6
204189.171.2–107.854.241–69.9
204295.475.7–112.955.736.3–69.2
204391.270.1–111.155.441.6–68.9
204490.471.6–110.95537.4–71.2
204591.772–108.559.445.3–73.9
204695.469.1–11760.545.7–74.6
204794.272.6–113.560.245.4–76.2
204897.673.2–120.562.442.8–77.6
204995.173.8–117.558.337.9–75.3
205094.474.5–1176042.7–78.5
205194.775.8–114.760.446.6–73.1
205296.876.1–116.56046.1–75.7
205394.673.9–116.760.646.1–76.6
205496.574.3–11763.344.6–77.5
205599.175.7–11863.543.4–80.4
205699.173.7–118.264.542.6–81
2057100.371.9–123.963.249.8–82.3
205897.775.1–121.565.445.9–86.6
2059102.380.5–127.468.645.1–84.4
206010380.3–124.466.450.5–84.8
2061100.978.4–122.665.748.9–82
2062100.175.4–126.568.745–87.3
2063100.678.3–122.168.152.7–86.2
206410081–123.368.555.6–88.7
2065103.580.5–128.268.851.6–88.2
2066100.780.7–124.668.849–86.7
206799.678.4–12673.852.9–91.6
2068102.780.1–130.174.755.9–94.1
206910477.5–128.17055.7–83.4
2070101.179.7–125.676.353.6–91.5
2071105.581.4–132.173.953.1–92.8
2072104.384.4–128.277.258.3–92.6
2073108.485.4–13075.754.6–95.1
2074105.182.9–126.871.955.9–89.6
2075102.578.8–12671.952.3–88.9
2076105.582.2–134.675.555.1–94.5
2077107.484.1–132.675.254.9–92.1
2078107.382.8–127.778.158.3–94.6
2079105.379.7–127.282.356.7–99.2
2080109.784.5–135.980.565.3–99.3
2081108.986.2–134.475.157.8–93.6
2082105.783.4–133.680.761.4–99.5
2083110.287.8–135.880.261.7–97.3
2084111.582.3–138.180.464.4–94.8
2085112.381.2–143.680.663.1–97.1
2086107.882.8–141.178.761.7–102.1
2087107.980.1–13479.661.2–100.8
2088107.984.4–143.184.160.7–101.2
2089107.981.7–137.38163.9–105.3
2090108.883.9–136.68365.5–101.4
2091113.486.9–14484.363.6–101.9
2092113.587.1–142.882.860.3–105.3
2093108.482.7–144.886.263.7–107.4
2094111.386.8–139.587.266–105.1
2095114.186.4–143.684.363.3–105.9
209610880.4–140.382.561.3–103.9
2097110.385–137.885.865.7–105.3
2098113.687.7–141.185.165.1–104.2
2099112.585.3–137.78560.2–104.3
2100111.986.8–138.785.660.5–104.5

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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。

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