马里与南苏丹对比

马里与南苏丹:35 °C 以上天数

2014 年35 °C 以上天数:马里为 205.3 天,南苏丹为 115.2 天(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 90.1 天,是南苏丹的 1.78 倍。

每年天数 · CMIP6

马里与南苏丹:35 °C 以上天数2014 年35 °C 以上天数:马里为 205.3 天,南苏丹为 115.2 天(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 90.1 天,是南苏丹的 1.78 倍。
马里南苏丹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,南苏丹为 172 天。

逐年数据

每年天数 · CMIP6

年份马里南苏丹
2014205.3115.2
2013204.6111.2
2012205.2108.8
2011205112.9
2010201.7112.8
2009201.1104.3
2008200.4104.2
2007201.3100.7
2006198.2105.3
2005198.1102.8
2004201.5103.4
2003198.8102.5
2002200.1104.6
2001198.2108.9
2000195.899.1
1999194.797.8
1998193.397.6
1997194.199.2
1996188.194
1995189.694
199418789.9
1993183.184.6
1992181.587.9
1991191.795.2
1990192.894
1989189.493.6
1988187.198
1987188.297.7
1986190.497.9
1985185.489.8
1984186.190.8
1983186.890.8
1982187.289.3
198118796.2
198018997.5
1979188.895.4
1978184.189.1
1977184.692.9
1976184.986.7
197518391.5
197418090
1973185.990.1
1972182.789.8
1971181.884.8
1970184.487.8
1969184.790.8
1968182.485.5
1967179.284.3
1966182.387
1965180.582.2
1964177.279.2
1963177.984.4
1962185.393.5
1961186.490.4
1960189.392
1959187.290.1
1958185.988
1957191.690.7
1956182.585.5
1955185.587.3
1954187.691
1953186.395.5
1952184.588.7
195118693.2
195018386.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马里南苏丹
2015205.1181.6–226.2112.487.1–135.9
2016202177.4–219.9103.878.8–129.9
2017208.7184.8–230114.384.4–134.8
2018203.5179–226.6109.674.1–140.7
2019207.3177.3–229.3107.285.2–133.3
2020205.3176.9–227.9114.783–140.8
2021207.3189.4–228.8112.182.3–137.9
2022212.7186.6–234.9108.880.6–137.3
2023208.3186.1–232.4113.188.8–147.8
2024216.7191.8–240.5121.591–149.4
2025212.9190.9–233.9115.889.9–141.1
2026214175.7–236112.283.6–145.9
2027214.4187.3–235.9115.482.9–143.9
2028217.9191.7–234.6118.387.9–145.1
2029214193–233.5120.789.9–140.1
2030215.1189.6–236.7117.292.5–147.7
2031217.8194.8–239.2123.397.3–147.8
2032215.6188.8–241.2118.791.5–148.1
2033217.3191.2–240.5123.791.9–159.9
2034215.5193.5–241120.889.9–159.1
2035220.3192.4–241.1122.892.3–153.1
2036217.1193.6–243.4118.790.7–147.5
2037224.3198.3–242.7127.792.4–161
2038222.3194.3–251129.5101.9–159.2
2039219.2196.6–247.4128.394.6–153.1
2040223.3201–245.1125.894.8–150.7
2041225.1204.4–245.5133.899.2–157.8
2042226199.1–248.7129.3101.8–150.8
2043223.1202.4–244.4124.788.4–161.9
2044226.3197.8–250.412893.3–153.7
2045226.9202.5–248.2134.398–166.7
2046228.6199.3–250.6142.1102.3–172.2
2047232.2203.4–255.4139.3111.2–169.4
2048232.1208.4–251.3133.1102.8–175.4
2049228.3206.3–249.9144106.7–173.4
2050227.9204.5–253.3131.8102.7–175.9
2051225.8205–252.8136.9103.8–181
2052233.4204.7–262.2140.6107.1–170.7
2053228.5204.3–257.4136.798.4–174.4
2054231.7207.6–260.8143.499–172.9
2055235.2209.3–258.2143.4108.5–177.2
2056236.4209–259.9140.5106.1–187.1
2057238.9212.9–266.1152.3116.4–191.2
2058232.2209.6–263.7151.7101.9–183.5
2059238.6213–263.1145.9103.5–182.1
2060235.3213.6–260.9148.7106.5–190.2
2061239.6210.7–268.2149.5111.4–191.8
2062236.3210.8–264.6146.1106.4–194.6
2063238.3214.5–260.1147.1109.1–180.2
2064239215.2–265.3149.2109.2–185.1
2065239.8216.5–260153.7122.4–192.3
2066240.4219.8–269.8150.4119.4–190.7
2067234.5212.7–260.9149.8119–196.2
2068239.3213.8–265.9153.9118.8–193.6
2069241213–262.1148.8111.4–191.2
2070241.2213.9–266.1154.5117–195.8
2071239.6216.8–268.4153.5117.6–200.4
2072244.7222.5–271.9161.7122–189.2
2073243.1216.4–269.2159.7124.4–198.7
2074243.3216.9–272.6151.9106.9–200.6
2075244.5217.8–270155.5106.6–190
2076245219.7–267.6159.9116.3–216.8
2077249.7217.4–277.9163.6123.7–216.5
2078247.1219.3–274.3161.4123.3–199.6
2079245218.1–272.2158.8127.9–190.6
2080247.1219.9–274.3161.6116.1–198.3
2081244.6216.8–276.5163.3126.3–208.9
2082244.9220.3–276159.2127.6–200.5
2083249.3222.7–275.6168129–211.4
2084244.5220.6–274.1162.7120.4–199.8
2085252.2220.4–277.5166.1126.3–209.4
2086247221.5–277.6162.5122.2–208.7
2087243212.5–274.4163.7110.7–202.2
2088245.7222.2–279.5164.8122.3–214.2
2089245.4217.4–278.8162.4126–199.8
2090249.8217.9–273.1167120.8–211.8
2091249.3224.1–276.6165.6119.3–210.6
2092250.8219.8–275.2173.9126.9–217.6
2093249.4221.9–280.7168.8131.2–208.4
2094252.8226.8–277.6171.1131.9–222.8
2095251.7220.9–277.7171.7128.2–224.7
2096251.6226.6–279.2166.3122.8–214.1
2097246.5221.7–275165.8123.7–214.6
2098252.7226–275.1165.5125–217.9
2099253.6226.7–282.1171126.6–227.6
2100250.4223.5–278.7172124.2–217.9

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

马里与南苏丹对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境