布基纳法索与马里对比

布基纳法索与马里:35 °C 以上天数

2014 年35 °C 以上天数:布基纳法索为 177.4 天,马里为 205.3 天(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 27.9 天,是布基纳法索的 1.16 倍。

每年天数 · CMIP6

布基纳法索与马里:35 °C 以上天数2014 年35 °C 以上天数:布基纳法索为 177.4 天,马里为 205.3 天(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 27.9 天,是布基纳法索的 1.16 倍。
布基纳法索马里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,马里的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年布基纳法索为 245.7 天,马里为 250.4 天。

逐年数据

每年天数 · CMIP6

年份布基纳法索马里
2014177.4205.3
2013171.9204.6
2012170.9205.2
2011170.8205
2010166.4201.7
2009165.1201.1
2008164.2200.4
2007163.3201.3
2006162.7198.2
2005162.9198.1
2004170.8201.5
2003165.6198.8
2002163.8200.1
2001170.1198.2
2000162.9195.8
1999157.3194.7
1998155.2193.3
1997161.5194.1
1996152.4188.1
1995150.5189.6
1994142.5187
1993137.5183.1
1992137.6181.5
1991151.5191.7
1990157.8192.8
1989151.7189.4
1988150.2187.1
1987151.1188.2
1986154.4190.4
1985145.5185.4
1984148186.1
1983148.1186.8
1982147.5187.2
1981149.6187
1980154.6189
1979152.1188.8
1978146.1184.1
1977149.6184.6
1976142.3184.9
1975140.2183
1974140.2180
1973150.1185.9
1972144.8182.7
1971141.7181.8
1970145.9184.4
1969147.9184.7
1968140.2182.4
1967141179.2
1966138.2182.3
1965142180.5
1964127.3177.2
1963132.5177.9
1962145185.3
1961150186.4
1960151.8189.3
1959146.2187.2
1958150.3185.9
1957152.8191.6
1956141.2182.5
1955143.7185.5
1954150.6187.6
1953153.5186.3
1952145.7184.5
1951151.2186
1950144.8183
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份布基纳法索马里
2015171.8138.5–202.8205.1181.6–226.2
2016167138.6–189.8202177.4–219.9
2017173136.2–207.5208.7184.8–230
2018167.9137.3–197.7203.5179–226.6
2019175.4136.6–201.5207.3177.3–229.3
2020174.1132.8–206.2205.3176.9–227.9
2021173.4149–204207.3189.4–228.8
2022179.9147.4–206.6212.7186.6–234.9
2023175.9143.4–203.4208.3186.1–232.4
2024185.5154.5–217.4216.7191.8–240.5
2025180.8148.5–207.8212.9190.9–233.9
2026184.8125.9–213.3214175.7–236
2027185.6144.6–214.2214.4187.3–235.9
2028189.4147.6–221.4217.9191.7–234.6
2029188.6155.5–213.2214193–233.5
2030188.2153.3–224.2215.1189.6–236.7
2031190.7158.2–220217.8194.8–239.2
2032189.7144.5–222.8215.6188.8–241.2
2033190.6150.8–223.1217.3191.2–240.5
2034182.7151.2–226.6215.5193.5–241
2035195.9147–222.6220.3192.4–241.1
2036191.3152.7–227.7217.1193.6–243.4
2037198.5161.4–227.4224.3198.3–242.7
2038200.4157.8–231.7222.3194.3–251
2039191.9165.2–229.3219.2196.6–247.4
2040199.4166.4–229.5223.3201–245.1
2041202.3167.7–230.7225.1204.4–245.5
2042201.6158.8–230.6226199.1–248.7
2043196171.6–228223.1202.4–244.4
2044204.2159.8–236.6226.3197.8–250.4
2045205.6165.3–232.4226.9202.5–248.2
2046206.7168.7–236.9228.6199.3–250.6
2047212.3165.8–237.4232.2203.4–255.4
2048209.2175.1–235.8232.1208.4–251.3
2049202.6175.1–236.6228.3206.3–249.9
2050205.7170.1–250.8227.9204.5–253.3
2051206173.1–245.1225.8205–252.8
2052216167.4–251.3233.4204.7–262.2
2053209.8164.8–248228.5204.3–257.4
2054216175.1–253.5231.7207.6–260.8
2055212.6179.6–249.1235.2209.3–258.2
2056217.5177.9–254.9236.4209–259.9
2057225.7184.4–260.6238.9212.9–266.1
2058218.7182–255.8232.2209.6–263.7
2059217.4186.9–255.5238.6213–263.1
2060217.2181.4–253.1235.3213.6–260.9
2061223182.6–263.1239.6210.7–268.2
2062217.6182–260.7236.3210.8–264.6
2063223.4187.5–260238.3214.5–260.1
2064224.2183–252.2239215.2–265.3
2065225.1190.1–255.2239.8216.5–260
2066227.3190.1–263.3240.4219.8–269.8
2067219.3187.3–256.8234.5212.7–260.9
2068224.6179.7–260239.3213.8–265.9
2069219.3179–264.3241213–262.1
2070224.3183.9–265.6241.2213.9–266.1
2071226.6183.6–266.4239.6216.8–268.4
2072229.4193.4–265.8244.7222.5–271.9
2073230194.7–270.6243.1216.4–269.2
2074224.9185–275.2243.3216.9–272.6
2075238.9189.1–262.1244.5217.8–270
2076231.6194.9–271.7245219.7–267.6
2077241.9190.8–279.1249.7217.4–277.9
2078234.6189.9–278.6247.1219.3–274.3
2079230.6194.9–269.2245218.1–272.2
2080239.5189.7–275.3247.1219.9–274.3
2081234.4190–280.1244.6216.8–276.5
2082230197.6–277.7244.9220.3–276
2083236.9200.8–270249.3222.7–275.6
2084232.8200.8–273.8244.5220.6–274.1
2085244.3201.6–278.9252.2220.4–277.5
2086236.6192.9–281.6247221.5–277.6
2087236.3186.9–275.1243212.5–274.4
2088233.1189.9–280.9245.7222.2–279.5
2089229.4191.6–282.5245.4217.4–278.8
2090238.6197.4–278.1249.8217.9–273.1
2091241.2205.8–274.6249.3224.1–276.6
2092247.9196–276.6250.8219.8–275.2
2093243195.2–289.1249.4221.9–280.7
2094245.7207.9–277.4252.8226.8–277.6
2095250.4189.1–284.6251.7220.9–277.7
2096238.4206.4–283.7251.6226.6–279.2
2097231.9194–278.5246.5221.7–275
2098240.9202.3–274.2252.7226–275.1
2099244.4202.7–283.6253.6226.7–282.1
2100245.7203.3–288.4250.4223.5–278.7

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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