布基纳法索与马里对比

布基纳法索与马里:温度

2025 年温度:布基纳法索为 29.2 °C,马里为 29.6 °C(据 ERA5 观测)。 2025 年马里的数值较高,高出 0.4 °C,是布基纳法索的 1.01 倍。

°C · ERA5

布基纳法索与马里:温度2025 年温度:布基纳法索为 29.2 °C,马里为 29.6 °C(据 ERA5 观测)。 2025 年马里的数值较高,高出 0.4 °C,是布基纳法索的 1.01 倍。
布基纳法索马里CMIP6 历史模拟,模型中位数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 2020 年超过布基纳法索以来,马里的数值一直更高。
  • 2025 年,在 233 个国家中,布基纳法索排名第 2,马里排名第 1(从高到低)。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年布基纳法索为 31.1 °C,马里为 31.4 °C。

逐年数据

°C · ERA5

年份布基纳法索布基纳法索:CMIP6 历史模拟,模型中位数马里马里:CMIP6 历史模拟,模型中位数
202529.229.329.629.4
202429.329.429.729.6
202329.429.129.629.2
202228.629.328.929.4
202129.429.129.829.2
20202928.929.329.1
20192929.128.829.2
20182929.129.129.1
201728.92929.129.1
201629.128.829.328.8
201528.829.128.729
20142929.128.728.9
201328.928.928.829
201228.62928.429
201129.12929.129
201029.228.929.828.9
20092928.82928.8
200828.328.828.428.8
200728.728.828.728.8
200628.728.828.528.7
20052928.729.128.6
200428.828.828.928.7
200328.628.82928.7
200228.728.82928.7
200128.628.928.828.7
200028.328.728.428.5
199928.128.627.928.5
199828.628.528.828.3
199728.328.628.328.4
199628.528.428.628.2
199528.128.428.228.2
19942828.427.928.2
199328.628.128.528
199227.928.127.827.8
199128.228.428.328.3
199028.528.628.628.4
198927.928.428.328.1
198828.328.328.228
19872928.429.128.1
198628.128.527.828.1
198528.228.227.827.8
198428.528.327.928
198328.628.328.527.8
198227.928.327.628
198128.228.42828.1
198028.628.428.528
197927.928.428.128
19782828.22827.9
197727.828.427.927.9
197627.228.226.927.9
197527.528.127.327.8
197427.628.127.127.8
197328.628.327.927.9
197228.228.227.927.9
197127.928.127.827.7
197028.228.228.227.8
196928.128.228.427.7
196827.628.227.727.8
196727.52827.327.7
196627.9282827.7
196527.328.127.227.7
196427.527.827.527.6
196327.827.827.727.5
196227.428.227.427.9
196127.328.227.427.8
196027.528.327.528.1
195927.628.227.427.8
195827.928.227.827.9
195726.628.426.728
195627.128.12727.8
19552728.127.427.8
195427.228.326.727.8
195327.628.227.327.7
195227.128.226.727.8
195127.128.327.427.9
195026.828.126.727.8
  • 12.3预测值
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2026–2100
年份布基纳法索布基纳法索:CMIP6 历史模拟,模型中位数马里马里:CMIP6 历史模拟,模型中位数
2026–29.428.2–30–29.528.3–30.2
2027–29.428.4–30–29.528.6–30.1
2028–29.428.5–30.1–29.628.7–30.2
2029–29.628.8–30–29.628.9–30.2
2030–29.428.8–30.3–29.528.7–30.3
2031–29.628.8–30.3–29.728.7–30.4
2032–29.528.8–30.2–29.728.9–30.5
2033–29.628.8–30.4–29.728.7–30.5
2034–29.428.8–30.2–29.628.8–30.5
2035–29.728.8–30.2–29.728.9–30.5
2036–29.628.8–30.3–29.729–30.4
2037–29.829.2–30.4–3029.2–30.6
2038–29.829.2–30.6–29.929.2–31
2039–29.729–30.3–29.829.1–30.6
2040–29.729.1–30.5–29.929.2–30.7
2041–29.929.2–30.5–3029.3–30.8
2042–29.929–30.6–30.129.2–30.9
2043–29.829.1–30.4–29.929.3–30.7
2044–29.928.9–30.7–30.129–31
2045–3029.1–30.6–30.129.3–30.8
2046–3029.2–30.9–30.329.2–31.1
2047–30.229.1–30.8–30.429.3–31.1
2048–30.229.3–30.9–30.429.5–31.2
2049–3029.3–30.9–30.229.4–31.1
2050–3029.3–31.1–30.229.5–31.2
2051–30.129.4–30.9–30.129.5–31.1
2052–30.229.2–31.1–30.429.4–31.5
2053–30.229.3–31–30.429.5–31.2
2054–30.429.3–31.2–30.429.5–31.5
2055–30.129.5–31.1–30.429.7–31.4
2056–30.329.4–31.2–30.529.4–31.5
2057–30.529.6–31.3–30.729.7–31.7
2058–30.429.6–31.2–30.529.7–31.7
2059–30.429.8–31.4–30.729.9–31.8
2060–30.529.8–31.3–30.729.9–31.6
2061–30.429.6–31.6–30.829.8–31.8
2062–30.329.5–31.5–30.529.7–31.7
2063–30.629.7–31.4–30.729.9–31.6
2064–30.429.7–31.3–30.729.8–31.8
2065–30.629.8–31.4–30.829.9–31.7
2066–30.629.8–31.5–30.830–31.9
2067–30.529.6–31.6–30.629.7–31.6
2068–30.429.7–31.7–30.729.9–31.9
2069–30.629.6–31.5–30.929.7–31.7
2070–30.629.9–31.6–30.829.9–31.8
2071–30.829.7–31.8–30.929.9–32
2072–30.829.9–31.7–31.130.1–32.1
2073–30.829.9–31.8–31.130–32.1
2074–30.629.7–31.8–30.929.9–32.1
2075–3129.7–31.6–3130–31.9
2076–30.929.9–31.9–3130.1–32
2077–3130.1–32.1–31.230.2–32.3
2078–30.929.9–32–31.230.2–32.2
2079–30.830.1–31.8–31.130–32.2
2080–30.929.9–32–31.130.1–32
2081–3129.9–32–31.330.2–32.2
2082–30.829.9–31.9–31.230.1–32.1
2083–30.830.2–32.2–31.130.3–32.5
2084–30.930.2–32.3–31.130.4–32.3
2085–31.130.2–32.2–31.430.2–32.5
2086–31.129.8–32–31.230.2–32.3
2087–3130–32.2–31.230–32.3
2088–30.930–32.4–31.230.2–32.7
2089–3130–32.3–31.230.2–32.6
2090–3130–32.1–31.330.1–32.3
2091–3130.2–32.2–31.330.4–32.4
2092–31.230.1–32.2–31.430.4–32.5
2093–31.230.2–32.4–31.430.4–32.6
2094–3130.1–32.1–31.330.4–32.6
2095–31.330–32.3–31.630.3–32.5
2096–30.930.3–32.3–31.330.5–32.6
2097–30.830.1–32.2–31.130.4–32.4
2098–31.130–32.3–31.430.4–32.6
2099–31.330.2–32.4–31.530.3–32.6
2100–31.130.2–32.3–31.430.3–32.7

分别查看各国

须知

  • 全国范围、全年平均的近地面气温。
  • 来源:ERA5 reanalysis (Copernicus, ECMWF) and CMIP6, via the World Bank Climate Change Knowledge Portal。
  • 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。
  • 排名基于 2025 年有数值的 233 个国家,从高到低排列。

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