智利与危地马拉对比

智利与危地马拉：35 °C 以上天数

2014 年35 °C 以上天数：智利为 0 天，危地马拉为 16.9 天（CMIP6 气候模型中位数模拟）。 2014 年危地马拉的数值较高，高出 16.9 天。

在地图上查看其变化

每年天数 · CMIP6

智利与危地马拉：35 °C 以上天数2014 年35 °C 以上天数：智利为 0 天，危地马拉为 16.9 天（CMIP6 气候模型中位数模拟）。 2014 年危地马拉的数值较高，高出 16.9 天。
智利危地马拉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，危地马拉的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年智利为 0 天，危地马拉为 47.9 天。

逐年数据

每年天数 · CMIP6

年份智利危地马拉
2014016.9
2013015.5
2012015.4
2011014.9
2010017.5
2009013.6
2008014.5
2007015.2
2006014.5
2005014.1
2004013.7
2003013.4
2002013.5
2001014.5
2000012.9
1999012.6
1998011
1997011.9
1996010.7
199509
1994010.3
1993011
199208.9
1991012.5
1990013.4
1989010.6
1988010.1
1987010
1986012.2
198508.2
198407.4
198309
1982011.1
1981012
198008.5
1979010.9
197808.5
1977011
1976010.3
197509
1974010.5
197308.8
1972010.2
197107.9
197009.2
1969010.1
196808.6
196708.1
196608.2
196507.4
196409.2
196309.6
1962010.1
1961010.6
1960010
195909.5
195809.3
195709.3
195608.7
195509.9
195408.9
195309.2
195209.6
195108.6
195008.5
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份智利危地马拉
201500–019.39.9–31.9
201600–016.19.8–23.4
201700–017.98.3–27.3
201800–017.610–28.9
201900–016.88.8–30.9
202000–019.29.2–30
202100–018.311–28.2
202200–020.211.8–31.7
202300–018.210.7–35.1
202400–023.112.3–35.2
202500–021.610.6–36
202600–019.59.8–35.1
202700–019.310.5–34.7
202800–021.711.2–40.8
202900–022.911.9–38
203000–0199–33.2
203100–020.111.1–36.5
203200–023.113–35.3
203300–020.512.3–33.2
203400–021.610.3–38.1
203500–022.211.8–31.9
203600–023.513.6–33.7
203700–025.114.3–37.8
203800–026.613.9–40.6
203900–026.514.9–41.2
204000–024.811.2–37.4
204100–022.411.3–40.7
204200–026.412–41.9
204300–026.815.7–50.1
204400–025.912.8–48
204500–026.412.9–47.2
204600–030.916.1–47.6
204700–029.918.1–49
204800–028.816.9–44
204900–032.716.4–52.8
205000–027.819.1–43.8
205100–027.717.7–50.8
205200–032.917.9–52.1
205300–030.117.5–55.3
205400–030.818.1–49.5
205500–0.13219.4–52.4
205600–030.316.2–54
205700–032.416.5–52.3
205800–028.318.9–55.3
205900–036.220.3–55.5
206000–036.619.7–57.2
206100–036.321.9–58.2
206200–033.217.3–62.6
206300–036.219.3–60.3
206400–0.136.120.6–55.1
206500–0.140.717.2–60.3
206600–037.722.4–58.7
206700–033.120.8–57.4
206800–039.626.6–57.4
206900–0.142.221–65.7
207000–039.319.3–58.4
207100–0.140.523.2–62.5
207200–0.14422.5–70.5
207300–0.144.826.3–67.1
207400–037.919–60.3
207500–041.122.5–67.1
207600–0.140.123.5–60.6
207700–0.138.719.4–65.5
207800–0.141.823.6–64.2
207900–046.120.5–67.8
208000–0.142.924.9–62.6
208100–0.142.825–65.8
208200–0.141.620.2–63.7
208300–0.139.921.5–70.8
208400–0.144.125.4–73.9
208500–0.14623.7–72.1
208600–0.138.521–70.1
208700–0.144.324.3–73.9
208800–0.143.522.5–72.2
208900–0.137.323.7–68.2
209000–0.141.624.1–66
209100–0.146.824.7–77.3
209200–0.149.628.3–70.8
209300–0.143.626.5–76.4
209400–0.14527.1–75.6
209500–0.146.223.2–75.6
209600–0.143.224.5–77.5
209700–0.144.126.5–64.9
209800–0.149.823.6–84.5
209900–0.147.429.2–79.3
210000–0.147.924.4–79.7

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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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