卢旺达与索马里对比

卢旺达与索马里：35 °C 以上天数

2014 年35 °C 以上天数：卢旺达为 0 天，索马里为 58 天（CMIP6 气候模型中位数模拟）。 2014 年索马里的数值较高，高出 58 天。

在地图上查看其变化

每年天数 · CMIP6

卢旺达与索马里：35 °C 以上天数2014 年35 °C 以上天数：卢旺达为 0 天，索马里为 58 天（CMIP6 气候模型中位数模拟）。 2014 年索马里的数值较高，高出 58 天。
卢旺达索马里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，索马里的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年卢旺达为 0 天，索马里为 132.6 天。

逐年数据

每年天数 · CMIP6

年份卢旺达索马里
2014058
2013058.1
2012056
2011057.6
2010057
2009053
2008051.3
2007051.1
2006051.2
2005051.9
2004052.6
2003053
2002051.4
2001051.7
2000051.6
1999050
1998049.2
1997048.2
1996044.7
1995044.3
1994042.8
1993039
1992036.2
1991046.9
1990045.5
1989043.4
1988044.2
1987044.2
1986044.3
1985040.6
1984042.6
1983039.7
1982043.5
1981044.6
1980044.8
1979043.5
1978042.4
1977042.1
1976038.3
1975039.4
1974041.9
1973040.8
1972040.5
1971038.4
1970038.2
1969039.6
1968036.3
1967035.4
1966038.9
1965035.3
1964034.1
1963035.8
1962039.6
1961042.1
1960041
1959040.6
1958039.4
1957040.9
1956039
1955040.6
1954038.5
1953040.3
1952040.7
1951041.3
1950040.4
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份卢旺达索马里
201500–061.244–78.5
201600–060.241.9–78.7
201700–063.439.6–81.2
201800–06245.5–79.9
201900–062.444.6–82.9
202000–065.944–86.1
202100–064.146.7–83.1
202200–067.847.3–88.5
202300–070.948.3–92.1
202400–072.751.4–92.7
202500–067.148.6–93.9
202600–066.543.9–99.9
202700–067.147.5–96.2
202800–069.949.2–95.5
202900–074.150.6–96
203000–072.553.5–97.1
203100–07655.6–99.9
203200–074.752.3–98.3
203300–079.656.7–101.7
203400–076.456.7–102.6
203500–077.552.5–105.2
203600–076.753.9–100.7
203700–080.456.2–107.2
203800–080.359.3–108.7
203900–082.258.9–108.7
204000–081.357.4–113.8
204100–084.860.6–118.5
204200–08556.5–118.5
204300–083.660.2–115.7
204400–086.862.5–117.6
204500–086.961.3–121.1
204600–092.160.2–126.6
204700–095.564.1–127.6
204800–095.969.2–124.6
204900–096.966.8–131.6
205000–093.366.5–129.9
205100–096.666.3–137.2
205200–098.867.9–126.4
205300–096.765.5–130.9
205400–091.563.1–130.8
205500–010168.8–131.1
205600–099.267.2–140.6
205700–098.171.7–135.6
205800–0100.566.1–140.3
205900–010371.1–144.1
206000–0109.573.1–143.8
206100–0105.575.3–142.2
206200–0106.769.6–147.9
206300–011075.4–143.5
206400–0108.368.2–139.7
206500–0103.571.4–150.4
206600–0110.373.5–142.6
206700–0110.571.3–148.5
206800–0106.373.1–150.5
206900–0112.378.2–147.4
207000–0107.971.2–150.8
207100–0116.976–161.6
207200–011774–152.9
207300–0118.283.9–157.3
207400–0112.577.8–162.7
207500–011778.6–160.3
207600–012184.8–156.5
207700–0124.478.7–167.9
207800–0118.683–162
207900–0121.379.2–161
208000–0124.781.5–169.5
208100–0127.587.6–172.7
208200–0126.584.2–165.4
208300–0126.386.8–173.9
208400–0128.184.6–170.5
208500–0126.884.7–167.3
208600–013283.7–173
208700–0127.683.8–170.6
208800–0131.180.1–167.8
208900–0128.383.8–169.7
209000–0134.390.9–176.1
209100–0130.987.6–178.4
209200–0133.685.4–169
209300–0133.794.2–185.6
209400–0130.490.9–173.8
209500–0.1132.593.5–175.3
209600–0136.290.3–181
209700–0129.288.6–176.1
209800–0129.984.9–182.6
209900–0134.685.5–175.8
210000–0132.688.7–171.3

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

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