布基纳法索与卢旺达对比

布基纳法索与卢旺达:温度

2025 年温度:布基纳法索为 29.2 °C,卢旺达为 20.2 °C(据 ERA5 观测)。 2025 年布基纳法索的数值较高,高出 9 °C,是卢旺达的 1.45 倍。

°C · ERA5

布基纳法索与卢旺达:温度2025 年温度:布基纳法索为 29.2 °C,卢旺达为 20.2 °C(据 ERA5 观测)。 2025 年布基纳法索的数值较高,高出 9 °C,是卢旺达的 1.45 倍。
布基纳法索卢旺达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 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。
  • 2025 年,在 233 个国家中,布基纳法索排名第 2,卢旺达排名第 148(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,卢旺达为 21.8 °C。

逐年数据

°C · ERA5

年份布基纳法索布基纳法索:CMIP6 历史模拟,模型中位数卢旺达卢旺达:CMIP6 历史模拟,模型中位数
202529.229.320.220.1
202429.329.420.820.2
202329.429.120.420
202228.629.319.920
202129.429.120.120
20202928.920.320.1
20192929.120.119.9
20182929.119.720
201728.9292019.9
201629.128.820.419.8
201528.829.12019.9
20142929.119.719.7
201328.928.919.719.7
201228.62919.319.8
201129.12919.219.7
201029.228.919.919.7
20092928.819.519.6
200828.328.819.119.6
200728.728.819.219.5
200628.728.819.419.6
20052928.719.819.6
200428.828.819.619.5
200328.628.819.519.5
200228.728.819.319.6
200128.628.918.919.6
200028.328.719.219.5
199928.128.618.919.4
199828.628.519.619.4
199728.328.619.319.4
199628.528.41919.3
199528.128.419.219.3
19942828.41919.2
199328.628.119.319.1
199227.928.119.119
199128.228.41919.3
199028.528.619.319.4
198927.928.418.919.3
198828.328.319.219.2
19872928.419.619.2
198628.128.51919.3
198528.228.218.619.1
198428.528.318.719.1
198328.628.319.319.1
198227.928.319.119.2
198128.228.418.919.3
198028.628.41919.2
197927.928.41919.2
19782828.218.719
197727.828.418.819.1
197627.228.218.219.1
197527.528.118.119.1
197427.628.118.219.1
197328.628.318.719.2
197228.228.218.219
197127.928.118.119
197028.228.218.719.1
196928.128.218.819.1
196827.628.218.419
196727.52818.518.9
196627.92818.519
196527.328.118.418.9
196427.527.818.218.8
196327.827.818.318.8
196227.428.21819.1
196127.328.218.419.1
196027.528.318.719.1
195927.628.218.819
195827.928.219.119
195726.628.418.819.1
195627.128.118.119
19552728.118.319
195427.228.318.619.1
195327.628.218.319
195227.128.218.719.1
195127.128.318.519.1
195026.828.118.319.1
  • 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,模型中位数卢旺达卢旺达:CMIP6 历史模拟,模型中位数
2026–29.428.2–30–20.219.4–20.7
2027–29.428.4–30–20.119.6–20.7
2028–29.428.5–30.1–20.219.6–20.7
2029–29.628.8–30–20.319.8–20.7
2030–29.428.8–30.3–20.319.9–20.8
2031–29.628.8–30.3–20.420–20.8
2032–29.528.8–30.2–20.420.1–20.8
2033–29.628.8–30.4–20.419.8–20.9
2034–29.428.8–30.2–20.419.9–21.2
2035–29.728.8–30.2–20.519.8–21
2036–29.628.8–30.3–20.520–21.1
2037–29.829.2–30.4–20.620.1–21.2
2038–29.829.2–30.6–20.720.1–21
2039–29.729–30.3–20.520–21
2040–29.729.1–30.5–20.520.1–21.2
2041–29.929.2–30.5–20.520.2–21.2
2042–29.929–30.6–20.620.2–21.4
2043–29.829.1–30.4–20.619.9–21.3
2044–29.928.9–30.7–20.620–21.1
2045–3029.1–30.6–20.620.3–21.3
2046–3029.2–30.9–20.920.2–21.5
2047–30.229.1–30.8–20.920.4–21.6
2048–30.229.3–30.9–20.920.3–21.7
2049–3029.3–30.9–2120.4–21.6
2050–3029.3–31.1–2120.3–21.5
2051–30.129.4–30.9–2120.4–21.6
2052–30.229.2–31.1–2120.5–21.6
2053–30.229.3–31–2120.3–21.4
2054–30.429.3–31.2–2120.4–21.7
2055–30.129.5–31.1–21.120.4–21.7
2056–30.329.4–31.2–2120.3–21.9
2057–30.529.6–31.3–21.220.6–21.8
2058–30.429.6–31.2–21.220.3–22
2059–30.429.8–31.4–21.120.5–22
2060–30.529.8–31.3–21.320.4–21.9
2061–30.429.6–31.6–21.320.4–21.9
2062–30.329.5–31.5–21.320.4–22.2
2063–30.629.7–31.4–21.220.5–21.9
2064–30.429.7–31.3–21.420.4–22
2065–30.629.8–31.4–21.320.6–22
2066–30.629.8–31.5–21.320.6–22
2067–30.529.6–31.6–21.320.5–22.2
2068–30.429.7–31.7–21.420.6–22.2
2069–30.629.6–31.5–21.320.4–22.2
2070–30.629.9–31.6–21.220.6–22.2
2071–30.829.7–31.8–21.420.6–22.5
2072–30.829.9–31.7–21.420.8–22.2
2073–30.829.9–31.8–21.620.8–22.4
2074–30.629.7–31.8–21.320.7–22.2
2075–3129.7–31.6–21.520.6–22.5
2076–30.929.9–31.9–21.520.6–22.4
2077–3130.1–32.1–21.520.8–22.4
2078–30.929.9–32–21.420.8–22.4
2079–30.830.1–31.8–21.520.7–22.4
2080–30.929.9–32–21.620.6–22.3
2081–3129.9–32–21.620.8–22.5
2082–30.829.9–31.9–21.620.9–22.4
2083–30.830.2–32.2–21.620.8–22.8
2084–30.930.2–32.3–21.720.9–22.6
2085–31.130.2–32.2–21.820.8–22.6
2086–31.129.8–32–21.620.8–22.6
2087–3130–32.2–21.720.8–22.6
2088–30.930–32.4–21.720.9–22.5
2089–3130–32.3–21.721–22.6
2090–3130–32.1–21.621.1–22.8
2091–3130.2–32.2–22.120.8–22.9
2092–31.230.1–32.2–21.721–22.7
2093–31.230.2–32.4–21.821–22.8
2094–3130.1–32.1–21.821.1–22.9
2095–31.330–32.3–21.921.2–23.1
2096–30.930.3–32.3–21.821–22.9
2097–30.830.1–32.2–21.820.9–22.8
2098–31.130–32.3–21.820.9–23
2099–31.330.2–32.4–21.821–23
2100–31.130.2–32.3–21.821–22.9

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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