布基纳法索与南苏丹对比

布基纳法索与南苏丹：35 °C 以上天数

2014 年35 °C 以上天数：布基纳法索为 177.4 天，南苏丹为 115.2 天（CMIP6 气候模型中位数模拟）。 2014 年布基纳法索的数值较高，高出 62.2 天，是南苏丹的 1.54 倍。

布基纳法索南苏丹
在地图上查看其变化

每年天数 · CMIP6

全部年份自 1990 年以来自 2010 年以来
数值变化
线性对数
预测
布基纳法索与南苏丹：35 °C 以上天数2014 年35 °C 以上天数：布基纳法索为 177.4 天，南苏丹为 115.2 天（CMIP6 气候模型中位数模拟）。 2014 年布基纳法索的数值较高，高出 62.2 天，是南苏丹的 1.54 倍。
布基纳法索南苏丹CMIP6 模型中位数（SSP2-4.5，中间路径）模型第 10–90 百分位

最新数据

每年天数 · CMIP6

国家最新10 年前预测值
布基纳法索177.4 2014170.8245.7 2100
南苏丹115.2 2014103.4172 2100

数据解读

  • 自 1950 年以来，在两国都有数据的每一年，布基纳法索的数值都更高。
  • 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，南苏丹为 172 天。

逐年数据

每年天数 · CMIP6

年份布基纳法索南苏丹
2014177.4115.2
2013171.9111.2
2012170.9108.8
2011170.8112.9
2010166.4112.8
2009165.1104.3
2008164.2104.2
2007163.3100.7
2006162.7105.3
2005162.9102.8
2004170.8103.4
2003165.6102.5
2002163.8104.6
2001170.1108.9
2000162.999.1
1999157.397.8
1998155.297.6
1997161.599.2
1996152.494
1995150.594
1994142.589.9
1993137.584.6
1992137.687.9
1991151.595.2
1990157.894
1989151.793.6
1988150.298
1987151.197.7
1986154.497.9
1985145.589.8
198414890.8
1983148.190.8
1982147.589.3
1981149.696.2
1980154.697.5
1979152.195.4
1978146.189.1
1977149.692.9
1976142.386.7
1975140.291.5
1974140.290
1973150.190.1
1972144.889.8
1971141.784.8
1970145.987.8
1969147.990.8
1968140.285.5
196714184.3
1966138.287
196514282.2
1964127.379.2
1963132.584.4
196214593.5
196115090.4
1960151.892
1959146.290.1
1958150.388
1957152.890.7
1956141.285.5
1955143.787.3
1954150.691
1953153.595.5
1952145.788.7
1951151.293.2
1950144.886.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份布基纳法索南苏丹
2015171.8138.5–202.8112.487.1–135.9
2016167138.6–189.8103.878.8–129.9
2017173136.2–207.5114.384.4–134.8
2018167.9137.3–197.7109.674.1–140.7
2019175.4136.6–201.5107.285.2–133.3
2020174.1132.8–206.2114.783–140.8
2021173.4149–204112.182.3–137.9
2022179.9147.4–206.6108.880.6–137.3
2023175.9143.4–203.4113.188.8–147.8
2024185.5154.5–217.4121.591–149.4
2025180.8148.5–207.8115.889.9–141.1
2026184.8125.9–213.3112.283.6–145.9
2027185.6144.6–214.2115.482.9–143.9
2028189.4147.6–221.4118.387.9–145.1
2029188.6155.5–213.2120.789.9–140.1
2030188.2153.3–224.2117.292.5–147.7
2031190.7158.2–220123.397.3–147.8
2032189.7144.5–222.8118.791.5–148.1
2033190.6150.8–223.1123.791.9–159.9
2034182.7151.2–226.6120.889.9–159.1
2035195.9147–222.6122.892.3–153.1
2036191.3152.7–227.7118.790.7–147.5
2037198.5161.4–227.4127.792.4–161
2038200.4157.8–231.7129.5101.9–159.2
2039191.9165.2–229.3128.394.6–153.1
2040199.4166.4–229.5125.894.8–150.7
2041202.3167.7–230.7133.899.2–157.8
2042201.6158.8–230.6129.3101.8–150.8
2043196171.6–228124.788.4–161.9
2044204.2159.8–236.612893.3–153.7
2045205.6165.3–232.4134.398–166.7
2046206.7168.7–236.9142.1102.3–172.2
2047212.3165.8–237.4139.3111.2–169.4
2048209.2175.1–235.8133.1102.8–175.4
2049202.6175.1–236.6144106.7–173.4
2050205.7170.1–250.8131.8102.7–175.9
2051206173.1–245.1136.9103.8–181
2052216167.4–251.3140.6107.1–170.7
2053209.8164.8–248136.798.4–174.4
2054216175.1–253.5143.499–172.9
2055212.6179.6–249.1143.4108.5–177.2
2056217.5177.9–254.9140.5106.1–187.1
2057225.7184.4–260.6152.3116.4–191.2
2058218.7182–255.8151.7101.9–183.5
2059217.4186.9–255.5145.9103.5–182.1
2060217.2181.4–253.1148.7106.5–190.2
2061223182.6–263.1149.5111.4–191.8
2062217.6182–260.7146.1106.4–194.6
2063223.4187.5–260147.1109.1–180.2
2064224.2183–252.2149.2109.2–185.1
2065225.1190.1–255.2153.7122.4–192.3
2066227.3190.1–263.3150.4119.4–190.7
2067219.3187.3–256.8149.8119–196.2
2068224.6179.7–260153.9118.8–193.6
2069219.3179–264.3148.8111.4–191.2
2070224.3183.9–265.6154.5117–195.8
2071226.6183.6–266.4153.5117.6–200.4
2072229.4193.4–265.8161.7122–189.2
2073230194.7–270.6159.7124.4–198.7
2074224.9185–275.2151.9106.9–200.6
2075238.9189.1–262.1155.5106.6–190
2076231.6194.9–271.7159.9116.3–216.8
2077241.9190.8–279.1163.6123.7–216.5
2078234.6189.9–278.6161.4123.3–199.6
2079230.6194.9–269.2158.8127.9–190.6
2080239.5189.7–275.3161.6116.1–198.3
2081234.4190–280.1163.3126.3–208.9
2082230197.6–277.7159.2127.6–200.5
2083236.9200.8–270168129–211.4
2084232.8200.8–273.8162.7120.4–199.8
2085244.3201.6–278.9166.1126.3–209.4
2086236.6192.9–281.6162.5122.2–208.7
2087236.3186.9–275.1163.7110.7–202.2
2088233.1189.9–280.9164.8122.3–214.2
2089229.4191.6–282.5162.4126–199.8
2090238.6197.4–278.1167120.8–211.8
2091241.2205.8–274.6165.6119.3–210.6
2092247.9196–276.6173.9126.9–217.6
2093243195.2–289.1168.8131.2–208.4
2094245.7207.9–277.4171.1131.9–222.8
2095250.4189.1–284.6171.7128.2–224.7
2096238.4206.4–283.7166.3122.8–214.1
2097231.9194–278.5165.8123.7–214.6
2098240.9202.3–274.2165.5125–217.9
2099244.4202.7–283.6171126.6–227.6
2100245.7203.3–288.4172124.2–217.9

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