柬埔寨与缅甸对比

柬埔寨与缅甸:35 °C 以上天数

2014 年35 °C 以上天数:柬埔寨为 45.7 天,缅甸为 28.8 天(CMIP6 气候模型中位数模拟)。 2014 年柬埔寨的数值较高,高出 16.9 天,是缅甸的 1.59 倍。

每年天数 · CMIP6

柬埔寨与缅甸:35 °C 以上天数2014 年35 °C 以上天数:柬埔寨为 45.7 天,缅甸为 28.8 天(CMIP6 气候模型中位数模拟)。 2014 年柬埔寨的数值较高,高出 16.9 天,是缅甸的 1.59 倍。
柬埔寨缅甸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,柬埔寨的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年柬埔寨为 117.2 天,缅甸为 57 天。

逐年数据

每年天数 · CMIP6

年份柬埔寨缅甸
201445.728.8
201350.728
201248.827.5
201150.127.4
201048.427.9
200944.127.3
20084427.2
200740.825.4
20064626.8
200544.225
200446.428.3
200342.326.4
200244.327.4
200148.128.4
200036.926.6
199932.826.1
199839.326.4
199738.326.2
199634.424.7
199536.225.5
199438.524.3
199334.523.9
199226.620.5
199140.228.4
199044.626.3
198932.423.8
19883623.9
198735.725.4
198638.626.6
198531.723.6
19843525.8
198334.723.2
198238.924
198131.823.8
198030.823.5
197938.225.3
197828.523.4
197737.624.1
19763225.6
197528.822.3
197435.524.1
197338.325.9
197231.423.1
197131.722.8
197031.124.2
19693323.6
196827.723.4
196729.824.1
196627.923.1
196529.623.3
196430.621.7
196328.323.2
196229.324.4
196137.924.9
196036.626.2
195925.722.6
195837.425
195727.724.1
195626.325
195535.324.5
195432.825.3
195334.123.5
195238.426.1
195138.625
195031.123.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份柬埔寨缅甸
201550.827.7–77.728.518.5–40
201648.210.9–70.127.717.3–38.7
201749.627–75.62818.9–38.5
201850.426.8–79.729.818.6–41.2
201952.220.7–72.428.218.2–41.3
202053.324.2–84.528.616.8–41.4
202153.425.4–86.529.719.4–40.8
202257.540.4–90.631.521.7–42.7
202351.925.2–85.830.319.9–41.6
202456.830.5–87.631.720.1–43.7
202562.731.1–89.332.721.3–44.8
202654.228–90.930.420.3–44.5
202760.633.2–8630.620.4–44.2
202864.131–90.931.119–43
202974.940.4–104.132.720.9–46.4
203067.533.6–91.632.619.3–45
203164.537.3–106.632.721.3–45.2
203265.725–106.832.119.6–45.4
203369.540.2–93.533.322–43.8
203464.838.7–99.931.322–43.5
203567.428.6–104.732.620.4–49
203666.341.5–88.733.322.7–46.1
20377434.6–100.734.322.6–49.1
203876.846.8–110.735.824.4–49.9
203968.434.7–95.834.920.9–49
20406939–108.23419.2–51.2
204176.848.8–107.33724.8–51.9
204270.226.4–116.836.223–49.9
204369.533.8–110.534.522.6–47.7
204473.445.3–122.538.222.1–51.2
204568.143.9–106.835.924.2–50.7
20467846.6–117.438.425.2–57.1
204782.247.8–12238.824.1–56.1
204888.343.9–134.840.323.4–58.7
204985.248.1–12440.625.2–58.1
205080.553.2–111.540.226.5–55.3
205183.240.7–123.141.726.7–56.8
205288.250.6–126.840.326.3–61.2
205385.546.6–12441.323.6–61.5
20548655.2–136.342.426.8–60.9
205588.450.5–131.941.428.5–61.9
205682.442.6–13842.726.5–63
205789.147.8–122.843.226.3–63.2
205887.346.8–135.544.526.8–63.6
205993.961.6–143.243.729.1–65.3
206098.854.5–142.147.428.3–66
206188.639.7–136.946.729.5–64.5
206289.638.2–150.847.126.7–68.6
2063103.254.3–138.446.929–66.4
206493.264.2–136.247.527.9–66.1
206587.652.3–147.942.427.5–62.4
2066100.463.4–145.246.228.9–68.8
206787.746.7–137.74125.7–63.6
206895.461.2–147.846.928–70.4
206996.158.9–152.148.729.3–70.1
207090.852.1–154.743.927.5–64.3
207197.559.3–151.34926.2–71.9
2072102.759.4–162.24730.6–71.4
2073109.168–148.750.732.2–74
207498.842.7–151.54829.2–74
207599.348.6–142.449.126.1–68.9
2076104.339.4–152.347.826.5–72.8
2077110.344.8–153.251.832.9–76.1
2078110.757.2–152.150.632.4–75.6
207910656–162.350.730.5–77
2080112.752.2–15953.331.3–79.5
2081105.558.5–156.75235.5–79.1
2082110.259.7–153.352.532.5–76.8
2083106.353.9–171.751.730.5–79.6
2084102.354.4–154.752.329.5–76
2085113.265.6–166.751.232.9–79.4
2086111.154.4–159.152.632.5–80.1
2087107.555.6–164.451.732.6–77.9
2088110.853.7–176.550.727.2–88.8
2089108.558.9–173.952.731.4–86.3
209011067.3–179.754.231.1–80.1
2091102.761.1–177.953.235.4–80.1
2092114.257.9–16254.135.4–85.5
2093106.567.6–173.95235.6–85
2094120.659.4–166.654.434.9–80.7
2095123.265.4–177.758.535.1–84.3
2096110.463.2–176.352.832.3–84.1
2097117.256–165.153.230.4–82.8
2098108.759.9–180.455.334.4–83.8
2099112.650.6–167.955.233.1–84.7
2100117.260.3–181.45734.6–84

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

柬埔寨与缅甸对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境