马里与毛里塔尼亚对比

马里与毛里塔尼亚：35 °C 以上天数

2014 年35 °C 以上天数：马里为 205.3 天，毛里塔尼亚为 188 天（CMIP6 气候模型中位数模拟）。 2014 年马里的数值较高，高出 17.3 天，是毛里塔尼亚的 1.09 倍。

在地图上查看其变化

每年天数 · CMIP6

马里与毛里塔尼亚：35 °C 以上天数2014 年35 °C 以上天数：马里为 205.3 天，毛里塔尼亚为 188 天（CMIP6 气候模型中位数模拟）。 2014 年马里的数值较高，高出 17.3 天，是毛里塔尼亚的 1.09 倍。
马里毛里塔尼亚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，毛里塔尼亚为 225.9 天。

逐年数据

每年天数 · CMIP6

年份马里毛里塔尼亚
2014205.3188
2013204.6191.8
2012205.2189.8
2011205188.8
2010201.7187.8
2009201.1187
2008200.4187.7
2007201.3184.8
2006198.2184.9
2005198.1184.4
2004201.5185.1
2003198.8183.1
2002200.1183.7
2001198.2184.4
2000195.8180.9
1999194.7180.1
1998193.3180
1997194.1179.4
1996188.1172.7
1995189.6175.8
1994187172.8
1993183.1172.2
1992181.5163.2
1991191.7177.4
1990192.8182
1989189.4173.7
1988187.1174.9
1987188.2172.7
1986190.4172.7
1985185.4169.9
1984186.1169.7
1983186.8172.9
1982187.2175.8
1981187172
1980189173.3
1979188.8174.4
1978184.1170.5
1977184.6169
1976184.9171.2
1975183170.2
1974180165.2
1973185.9168.4
1972182.7168.7
1971181.8167.5
1970184.4164.9
1969184.7171
1968182.4164.8
1967179.2166.1
1966182.3170.2
1965180.5164
1964177.2165.1
1963177.9167.5
1962185.3171
1961186.4172.7
1960189.3172.6
1959187.2172
1958185.9170.7
1957191.6175.1
1956182.5170.2
1955185.5170.7
1954187.6171.6
1953186.3169.2
1952184.5171.3
1951186169.7
1950183168.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份马里毛里塔尼亚
2015205.1181.6–226.2188.9167.8–207.6
2016202177.4–219.9187.9166.7–204.8
2017208.7184.8–230193.7174.4–209.2
2018203.5179–226.6189.4169–208.9
2019207.3177.3–229.3194.3170.8–214.8
2020205.3176.9–227.9191.2166–212.4
2021207.3189.4–228.8194.1178.6–212.9
2022212.7186.6–234.9198.9175.7–220.3
2023208.3186.1–232.4192.9172.4–210
2024216.7191.8–240.5199.4175.1–218.8
2025212.9190.9–233.9194.9176.2–217.3
2026214175.7–236196.5170.8–217.1
2027214.4187.3–235.9196.6176–220.2
2028217.9191.7–234.6201.4179.9–217
2029214193–233.5197181.1–213.7
2030215.1189.6–236.7198.3173.3–215.8
2031217.8194.8–239.2202.1179.7–220.2
2032215.6188.8–241.2202.5180.3–222.8
2033217.3191.2–240.5200.3172–218.6
2034215.5193.5–241202.4183.7–222.3
2035220.3192.4–241.1201.6184.7–218.8
2036217.1193.6–243.4202.5183.3–222.8
2037224.3198.3–242.7206.2186.4–223.8
2038222.3194.3–251205180.8–227.1
2039219.2196.6–247.4206.3188.1–227.7
2040223.3201–245.1207.4188.8–228.2
2041225.1204.4–245.5205.6187.9–225.4
2042226199.1–248.7209.7185.8–231.6
2043223.1202.4–244.4205.5189.6–224.7
2044226.3197.8–250.4210.5188.9–231.9
2045226.9202.5–248.2209.9190.5–227.1
2046228.6199.3–250.6209.9189.6–228.5
2047232.2203.4–255.4212.6190.1–233.4
2048232.1208.4–251.3215191–233
2049228.3206.3–249.9213.7192.3–230.5
2050227.9204.5–253.3210.9189–229.4
2051225.8205–252.8210.4191.3–232.8
2052233.4204.7–262.2213.2191.6–240.1
2053228.5204.3–257.4213.6191.5–237.6
2054231.7207.6–260.8214.9193.7–235.6
2055235.2209.3–258.2216.6193.3–235.8
2056236.4209–259.9216.2197.9–236.4
2057238.9212.9–266.1218.9198.3–242.7
2058232.2209.6–263.7213.1194.7–238.9
2059238.6213–263.1218.2198.3–238
2060235.3213.6–260.9219.1199.9–237.6
2061239.6210.7–268.2220.2196.5–240.8
2062236.3210.8–264.6215.9198–243.8
2063238.3214.5–260.1222.8204.7–237.1
2064239215.2–265.3219.6199.9–241.7
2065239.8216.5–260220.2200.6–237.1
2066240.4219.8–269.8219.3203.5–242.4
2067234.5212.7–260.9217.1195.9–239.5
2068239.3213.8–265.9219.8198.2–242.6
2069241213–262.1221.3201.8–237.2
2070241.2213.9–266.1220.6198.6–240.8
2071239.6216.8–268.4218.7199.3–243
2072244.7222.5–271.9224.2197.2–246.3
2073243.1216.4–269.2225.5205.8–248.3
2074243.3216.9–272.6226202–247
2075244.5217.8–270220.5199.1–243.1
2076245219.7–267.6223.3205.1–241
2077249.7217.4–277.9224.1203.9–252.6
2078247.1219.3–274.3227.3205.3–248.4
2079245218.1–272.2227198.9–245.2
2080247.1219.9–274.3226203.8–246.1
2081244.6216.8–276.5223.9203.9–248.3
2082244.9220.3–276224.1202.4–247.4
2083249.3222.7–275.6229201.5–249.8
2084244.5220.6–274.1225.1204.2–246.9
2085252.2220.4–277.5233202.3–255.4
2086247221.5–277.6224.8205.3–252.9
2087243212.5–274.4223.5200.2–250.9
2088245.7222.2–279.5228.1208–256.4
2089245.4217.4–278.8226.6206.9–250.5
2090249.8217.9–273.1230.6205.6–249.7
2091249.3224.1–276.6229.6207.5–251.7
2092250.8219.8–275.2228.6208.5–247
2093249.4221.9–280.7230.2206–256
2094252.8226.8–277.6229.5209.7–252.6
2095251.7220.9–277.7226.6205.8–250.6
2096251.6226.6–279.2230204.2–252.2
2097246.5221.7–275225.7209.3–247.1
2098252.7226–275.1233.2209.5–251.9
2099253.6226.7–282.1231.8209.1–254.4
2100250.4223.5–278.7225.9207.6–246.4

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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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