马里与乌干达对比

马里与乌干达：35 °C 以上天数

2014 年35 °C 以上天数：马里为 205.3 天，乌干达为 5.6 天（CMIP6 气候模型中位数模拟）。 2014 年马里的数值较高，高出 199.7 天，是乌干达的 37 倍。

在地图上查看其变化

每年天数 · CMIP6

马里与乌干达：35 °C 以上天数2014 年35 °C 以上天数：马里为 205.3 天，乌干达为 5.6 天（CMIP6 气候模型中位数模拟）。 2014 年马里的数值较高，高出 199.7 天，是乌干达的 37 倍。
马里乌干达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 年马里为 250.4 天，乌干达为 18.5 天。

逐年数据

每年天数 · CMIP6

年份马里乌干达
2014205.35.6
2013204.64.8
2012205.26
20112055.4
2010201.75
2009201.14
2008200.44.7
2007201.33.8
2006198.24.4
2005198.14.5
2004201.54
2003198.84.4
2002200.14.6
2001198.24.9
2000195.83.2
1999194.74.1
1998193.34.2
1997194.13.3
1996188.13.5
1995189.62.9
19941873.1
1993183.12.4
1992181.52.4
1991191.74.1
1990192.83
1989189.43.5
1988187.13.2
1987188.23.4
1986190.44.1
1985185.42.6
1984186.13.1
1983186.82.7
1982187.22.7
19811873.3
19801893.4
1979188.82.8
1978184.12.7
1977184.63.3
1976184.92.5
19751832.6
19741802.8
1973185.92.4
1972182.72.3
1971181.82.1
1970184.42.3
1969184.72.9
1968182.42
1967179.22.3
1966182.31.9
1965180.52
1964177.21.4
1963177.92.5
1962185.33
1961186.42
1960189.32.6
1959187.23.1
1958185.92
1957191.62.6
1956182.52.3
1955185.52.5
1954187.63.6
1953186.32.7
1952184.52.9
19511862.7
19501832.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份马里乌干达
2015205.1181.6–226.26.61.3–12
2016202177.4–219.94.41–9.3
2017208.7184.8–2305.40.8–10.2
2018203.5179–226.65.71.5–11.1
2019207.3177.3–229.35.31.6–11.9
2020205.3176.9–227.96.81.5–12.9
2021207.3189.4–228.86.31.5–11.7
2022212.7186.6–234.96.11.6–11.4
2023208.3186.1–232.44.61.4–12
2024216.7191.8–240.56.32.4–13.1
2025212.9190.9–233.973.2–12.9
2026214175.7–2367.31.3–14.4
2027214.4187.3–235.96.81.9–15.8
2028217.9191.7–234.65.51.7–12.9
2029214193–233.58.21.9–15.7
2030215.1189.6–236.77.11.6–13.6
2031217.8194.8–239.27.13.3–15.1
2032215.6188.8–241.27.12.8–14.6
2033217.3191.2–240.56.63.2–16.4
2034215.5193.5–2417.32.8–14.2
2035220.3192.4–241.18.72.7–15.4
2036217.1193.6–243.45.72.3–14.8
2037224.3198.3–242.77.12.7–14.4
2038222.3194.3–2518.73.4–16.6
2039219.2196.6–247.47.83.6–15.1
2040223.3201–245.17.52.5–14.3
2041225.1204.4–245.59.73.3–18
2042226199.1–248.7103.9–19
2043223.1202.4–244.482–14.5
2044226.3197.8–250.492.2–17.1
2045226.9202.5–248.29.13.4–16.5
2046228.6199.3–250.611.93.3–21.6
2047232.2203.4–255.411.13.9–21.9
2048232.1208.4–251.310.64.5–18.3
2049228.3206.3–249.910.84–20.3
2050227.9204.5–253.39.53.3–20.9
2051225.8205–252.811.95.2–20.9
2052233.4204.7–262.210.53.7–19
2053228.5204.3–257.410.63.3–20.4
2054231.7207.6–260.810.92.6–18.3
2055235.2209.3–258.211.12.9–24.4
2056236.4209–259.910.93.4–23.9
2057238.9212.9–266.111.74.3–27.7
2058232.2209.6–263.714.24.5–23.3
2059238.6213–263.1143.7–24.9
2060235.3213.6–260.9113.7–28
2061239.6210.7–268.213.44–26.4
2062236.3210.8–264.613.44.1–27.1
2063238.3214.5–260.112.55.1–20.6
2064239215.2–265.312.55.1–26.5
2065239.8216.5–26014.25–29
2066240.4219.8–269.811.65.1–23.2
2067234.5212.7–260.912.93.9–25.4
2068239.3213.8–265.913.14.8–26
2069241213–262.112.34.3–24.3
2070241.2213.9–266.112.95.2–28.3
2071239.6216.8–268.414.15.2–25.8
2072244.7222.5–271.914.84.9–24.5
2073243.1216.4–269.213.84.7–28.6
2074243.3216.9–272.612.95.9–24.6
2075244.5217.8–27012.95–26.8
2076245219.7–267.616.94.9–31
2077249.7217.4–277.916.36.2–34.2
2078247.1219.3–274.313.75.9–28.7
2079245218.1–272.215.76.9–26.1
2080247.1219.9–274.315.15–30.5
2081244.6216.8–276.517.16.1–33.7
2082244.9220.3–27615.45.2–28.9
2083249.3222.7–275.617.16.8–34.4
2084244.5220.6–274.1155.1–32.8
2085252.2220.4–277.516.85.3–32.7
2086247221.5–277.614.96.8–33.3
2087243212.5–274.416.95.4–30.1
2088245.7222.2–279.517.75.3–30.3
2089245.4217.4–278.815.75.4–28.1
2090249.8217.9–273.117.45.4–34
2091249.3224.1–276.618.57.4–36.8
2092250.8219.8–275.217.26.3–36.5
2093249.4221.9–280.717.78.1–33.5
2094252.8226.8–277.619.87.7–35.2
2095251.7220.9–277.719.66.7–37
2096251.6226.6–279.2165.4–31.5
2097246.5221.7–27519.47–36.7
2098252.7226–275.117.76.9–35.6
2099253.6226.7–282.118.29.3–40.9
2100250.4223.5–278.718.55.8–34.9

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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。

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