吉布提与索马里对比

吉布提与索马里:35 °C 以上天数

2014 年35 °C 以上天数:吉布提为 161.5 天,索马里为 58 天(CMIP6 气候模型中位数模拟)。 2014 年吉布提的数值较高,高出 103.5 天,是索马里的 2.78 倍。

每年天数 · CMIP6

吉布提与索马里:35 °C 以上天数2014 年35 °C 以上天数:吉布提为 161.5 天,索马里为 58 天(CMIP6 气候模型中位数模拟)。 2014 年吉布提的数值较高,高出 103.5 天,是索马里的 2.78 倍。
吉布提索马里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,吉布提的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年吉布提为 202.6 天,索马里为 132.6 天。

逐年数据

每年天数 · CMIP6

年份吉布提索马里
2014161.558
201316158.1
2012157.356
2011159.357.6
2010158.257
2009156.753
200815451.3
2007150.651.1
2006151.951.2
2005154.351.9
2004152.952.6
200315653
2002157.851.4
2001153.351.7
2000155.451.6
1999150.750
199814849.2
1997150.248.2
1996149.744.7
1995147.744.3
1994143.842.8
1993141.939
1992136.736.2
1991146.646.9
1990149.945.5
1989147.443.4
1988148.944.2
1987145.444.2
1986144.944.3
1985141.440.6
198414442.6
1983139.439.7
1982146.743.5
198114844.6
1980145.644.8
1979143.243.5
1978141.842.4
1977144.142.1
1976142.738.3
1975140.239.4
1974140.641.9
1973144.840.8
1972141.540.5
1971141.738.4
1970134.638.2
1969139.339.6
1968136.636.3
1967137.335.4
1966140.138.9
1965137.235.3
1964133.134.1
1963134.435.8
1962142.139.6
1961141.542.1
1960142.341
195913940.6
1958138.439.4
1957144.340.9
1956141.639
1955139.940.6
1954142.438.5
1953141.540.3
1952142.940.7
1951142.341.3
1950142.440.4
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份吉布提索马里
2015160.8141.1–177.661.244–78.5
2016162.4133.4–175.460.241.9–78.7
2017162.5134.6–177.163.439.6–81.2
2018157.4134.1–177.66245.5–79.9
2019160.7134.1–179.762.444.6–82.9
2020162.3135.6–180.465.944–86.1
2021159.8141.2–18164.146.7–83.1
2022161.7129–18467.847.3–88.5
2023164.4132.6–185.870.948.3–92.1
2024165143.2–189.572.751.4–92.7
2025163.1129.9–181.467.148.6–93.9
2026165.9131.4–186.866.543.9–99.9
2027164.6130.3–184.667.147.5–96.2
2028169137.8–188.869.949.2–95.5
2029168.2139.9–187.974.150.6–96
2030169.3140.4–18672.553.5–97.1
2031168.4152.8–1887655.6–99.9
2032172.6149.8–192.874.752.3–98.3
2033174.9150.4–192.279.656.7–101.7
2034172.2151.4–190.876.456.7–102.6
2035173.6146.8–189.677.552.5–105.2
2036172.5149.4–189.276.753.9–100.7
2037173.4148.7–190.780.456.2–107.2
2038173.9156.9–195.880.359.3–108.7
2039176156.9–192.982.258.9–108.7
2040177.3156.2–194.281.357.4–113.8
2041176.2141.4–196.384.860.6–118.5
2042177.8154–198.58556.5–118.5
2043179.2150.8–19783.660.2–115.7
2044181.1147.3–196.686.862.5–117.6
2045181.3154.5–201.786.961.3–121.1
2046180.5150.9–197.892.160.2–126.6
2047179.9157–199.895.564.1–127.6
2048182.5156.8–206.195.969.2–124.6
2049183.7153.2–201.696.966.8–131.6
2050182.2157.1–20593.366.5–129.9
2051184.4162.8–206.296.666.3–137.2
2052183.3150.6–204.698.867.9–126.4
2053182.6161.3–207.196.765.5–130.9
2054183.7160.1–201.891.563.1–130.8
2055188.1161–207.410168.8–131.1
2056187.1166.2–212.299.267.2–140.6
2057188.3166.1–210.698.171.7–135.6
2058183.8153.6–205.4100.566.1–140.3
2059189.8162.8–214.410371.1–144.1
2060195.2171.8–213.3109.573.1–143.8
2061193.2170.2–210.6105.575.3–142.2
2062189.2162.8–216.9106.769.6–147.9
2063190.6170.3–212.311075.4–143.5
2064194.3166.7–209.5108.368.2–139.7
2065188.5166.1–213.4103.571.4–150.4
2066190163.9–209.6110.373.5–142.6
2067193.4162.7–215.9110.571.3–148.5
2068195.7170.3–217.7106.373.1–150.5
2069198.6169.8–213.6112.378.2–147.4
2070195.6172.9–215.1107.971.2–150.8
2071198.4165.6–221.5116.976–161.6
2072193.2169.4–213.211774–152.9
2073197.1176.8–218118.283.9–157.3
2074188.8157.3–218.7112.577.8–162.7
2075194.9163.8–216.711778.6–160.3
2076198.6171.6–217.812184.8–156.5
2077198.5164.2–220124.478.7–167.9
2078194.7168.5–220.1118.683–162
2079198.8169.8–220.4121.379.2–161
2080199.7163.6–223.7124.781.5–169.5
2081203174.3–221.5127.587.6–172.7
2082198173.4–219.6126.584.2–165.4
2083200173.1–224.7126.386.8–173.9
2084198.7172–226.8128.184.6–170.5
2085201.8174.9–225.8126.884.7–167.3
2086202.2163–223.813283.7–173
2087201.9171.4–222.1127.683.8–170.6
2088202.3180.6–223.7131.180.1–167.8
2089202.5179.1–220.9128.383.8–169.7
2090207.1176.4–228.1134.390.9–176.1
2091207.8174.3–230.4130.987.6–178.4
2092203.6172.6–224.2133.685.4–169
2093205175.1–224.3133.794.2–185.6
2094202.5177.9–221.9130.490.9–173.8
2095203.7178.7–227.8132.593.5–175.3
2096202.9171–226.4136.290.3–181
2097199179.5–223.5129.288.6–176.1
2098195.1168.9–226.7129.984.9–182.6
2099207.2181.7–229134.685.5–175.8
2100202.6179.2–221.8132.688.7–171.3

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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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