玻利维亚与智利对比

玻利维亚与智利：35 °C 以上天数

2014 年35 °C 以上天数：玻利维亚为 21.5 天，智利为 0 天（CMIP6 气候模型中位数模拟）。 2014 年玻利维亚的数值较高，高出 21.5 天。

在地图上查看其变化

每年天数 · CMIP6

玻利维亚与智利：35 °C 以上天数2014 年35 °C 以上天数：玻利维亚为 21.5 天，智利为 0 天（CMIP6 气候模型中位数模拟）。 2014 年玻利维亚的数值较高，高出 21.5 天。
玻利维亚智利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，玻利维亚的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年玻利维亚为 73.3 天，智利为 0 天。

逐年数据

每年天数 · CMIP6

年份玻利维亚智利
201421.50
201322.10
2012210
201120.60
201016.60
200917.80
200814.80
200711.50
2006120
200512.80
200415.30
200315.60
200212.30
200116.40
200013.60
199910.80
199813.40
199713.60
199611.70
199511.30
199410.10
1993100
19927.10
199110.80
199014.80
198912.10
198811.80
198711.40
1986110
19859.50
19848.40
198380
198211.50
198112.30
1980100
197911.90
197811.60
19779.70
19768.10
19758.50
19748.10
19738.30
19728.30
19717.10
19708.20
19699.30
196880
19678.10
19667.10
19658.40
19647.60
19637.60
19629.10
19619.90
19608.20
195910.80
19588.70
19578.90
19568.30
195510.70
195490
1953100
1952100
19518.70
19508.60
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份玻利维亚智利
201522.611.7–37.800–0
201619.69.1–36.500–0
201721.58.9–36.700–0
201821.58.9–38.300–0
201922.711.8–45.600–0
202026.411.2–41.300–0
20212812.4–49.300–0
202223.410.4–43.800–0
202325.512.4–45.100–0
202428.816.1–49.700–0
202529.313.1–50.600–0
202626.515.1–42.300–0
202731.38.4–51.100–0
202828.113.9–51.300–0
202932.617.1–52.900–0
20303011.9–54.500–0
203134.616.6–58.900–0
203236.515.8–54.200–0
203333.616.5–53.200–0
203433.318–58.500–0
203531.115.9–54.100–0
203633.117.6–54.200–0
203737.222.1–54.300–0
203838.118.7–55.800–0
203934.119.3–59.200–0
204039.219–62.600–0
204141.225.4–61.500–0
204239.220.9–59.500–0
204335.217.5–67.100–0
204439.520.9–63.900–0
204540.826.7–61.600–0
204645.628.2–64.600–0
204743.823.7–65.800–0
204845.328.5–74.100–0
20494927.1–76.500–0
205042.825.8–6800–0
205144.229.2–75.500–0
205250.932.1–74.900–0
205341.827–67.700–0
205440.221.9–74.400–0
205545.626.1–85.500–0.1
205648.123.6–82.300–0
20574927.5–74.900–0
205850.527.2–89.400–0
205954.529.4–84.700–0
206057.228.4–86.200–0
206152.626.1–90.600–0
206247.328.2–9200–0
206354.529.6–81.800–0
20645528.9–84.600–0.1
206554.929.4–95.500–0.1
206653.332.8–82.800–0
206757.428.4–84.100–0
206860.933.3–92.300–0
206955.330.9–90.700–0.1
207053.233.5–97.700–0
20715730–88.100–0.1
207258.130.9–10100–0.1
207365.838.3–102.600–0.1
207461.835.6–97.600–0
207560.930.1–96.300–0
207659.534.3–95.500–0.1
207761.636.2–95.200–0.1
207866.436.8–108.900–0.1
207958.834.7–91.800–0
208059.138.3–101.400–0.1
208164.141.8–102.500–0.1
208265.237.5–93.500–0.1
208364.833.8–103.200–0.1
208461.735.7–100.700–0.1
208565.239.9–106.600–0.1
208665.532.2–113.300–0.1
208769.839.1–103.700–0.1
208872.237.7–118.100–0.1
208967.939–103.400–0.1
20907045.4–117.100–0.1
209168.541.9–112.500–0.1
209269.236.7–108.800–0.1
209370.540.5–111.400–0.1
209466.343.1–97.400–0.1
209573.137.4–109.300–0.1
209665.638.9–112.700–0.1
209768.436.2–96.900–0.1
209871.741.5–128.900–0.1
209972.440.6–118.300–0.1
210073.341.4–111.800–0.1

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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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