巴西与海地对比

巴西与海地：温度

2025 年温度：巴西为 25.2 °C，海地为 26 °C（据 ERA5 观测）。 2025 年海地的数值较高，高出 0.8 °C，是巴西的 1.03 倍。

在地图上查看其变化

°C · ERA5

巴西与海地：温度2025 年温度：巴西为 25.2 °C，海地为 26 °C（据 ERA5 观测）。 2025 年海地的数值较高，高出 0.8 °C，是巴西的 1.03 倍。
巴西海地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 2018 年超过巴西以来，海地的数值一直更高。
  • 2025 年，在 233 个国家中，巴西排名第 93，海地排名第 74（从高到低）。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年巴西为 27.9 °C，海地为 27.5 °C。

逐年数据

°C · ERA5

年份巴西巴西：CMIP6 历史模拟，模型中位数海地海地：CMIP6 历史模拟，模型中位数
202525.226.22625.9
202425.826.226.126
202325.626.12625.9
202224.826.225.425.9
20212526.125.525.9
202025.22625.825.8
201925.525.925.725.8
201825.125.925.425.8
201725.425.925.425.8
201625.625.825.525.7
201525.725.925.925.7
201425.225.825.625.5
201325.125.925.425.5
201225.225.925.125.5
201124.925.82525.5
201025.325.725.325.5
20092525.725.125.5
200824.825.624.925.4
200725.125.525.325.4
200624.925.525.225.4
200525.225.525.125.4
200424.925.724.825.4
20032525.625.225.4
200225.225.525.225.4
200124.825.72525.4
200024.525.424.725.3
199924.625.424.525.3
199825.425.425.425.3
199724.925.425.425.3
199624.625.224.425.2
199524.825.224.925.1
199424.725.124.825.1
199324.72524.825
199224.524.724.924.9
199124.625.325.125.2
199024.725.425.225.3
198924.225.224.825.2
198824.625.22525.1
19872525.125.225.1
198624.325.224.725.1
198524.224.924.725.1
198424.42524.624.9
198324.824.825.124.9
198224.525.124.525
198124.425.224.425.1
198024.52524.925.1
197924.225.124.425
197824.22524.625
197724.425.124.825
19762424.924.325
19752424.724.324.9
197423.824.924.225
197324.52524.525
197224.524.924.525
19712424.924.125
197024.524.824.724.9
196924.824.92524.9
196823.924.824.425
196724.324.724.524.9
196624.224.824.525
196524.224.724.424.9
19642424.724.524.9
196324.924.624.424.9
196224.224.924.525
19612524.924.425
196024.32524.525
195924.624.92525
1958252525.125
195724.62524.725
195623.724.824.225
195524.3252425
195424.42524.225
195324.524.924.625
195224.324.924.625
195124.424.924.425
195024.324.92425
  • 12.3预测值
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2026–2100
年份巴西巴西：CMIP6 历史模拟，模型中位数海地海地：CMIP6 历史模拟，模型中位数
2026–26.125.3–27–2625.5–26.5
2027–26.225.4–27–2625.5–26.6
2028–26.325.5–27.1–26.125.7–26.7
2029–26.525.8–27.3–26.125.7–26.7
2030–26.225.4–27–26.125.8–26.5
2031–26.525.6–27.3–26.125.9–26.6
2032–26.525.8–27.4–26.325.8–26.7
2033–26.425.6–27.2–26.225.8–26.6
2034–26.325.7–27.5–26.225.7–26.8
2035–26.425.7–27.4–26.325.9–26.7
2036–26.425.8–27.1–26.326–26.6
2037–26.726–27.3–26.426–26.9
2038–26.725.9–27.4–26.426–26.8
2039–26.625.9–27.5–26.325.9–26.8
2040–26.625.9–27.6–26.326–26.9
2041–26.826–27.5–26.426–26.9
2042–26.625.8–27.9–26.426–27
2043–26.625.8–27.6–26.426–27.1
2044–26.625.9–27.7–26.425.9–27.1
2045–26.726–27.6–26.526.1–27
2046–2726.2–27.8–26.626–27.1
2047–26.926.1–27.8–26.526.1–27.3
2048–2726.2–28–26.626.1–27.2
2049–2726.2–27.8–26.726.2–27.2
2050–26.926.1–28–26.726.1–27.3
2051–2726.2–28–26.726.3–27.2
2052–27.126.4–28–26.726.2–27.3
2053–2726.2–28–26.726.2–27.3
2054–2726.2–28.1–26.826.3–27.3
2055–27.126.4–28.3–26.826.3–27.3
2056–27.126.2–28.4–26.726.3–27.3
2057–27.226.1–28.1–26.826.1–27.4
2058–27.226.3–28.5–26.826.2–27.5
2059–27.326.4–28.5–26.926.4–27.6
2060–27.426.5–28.4–2726.3–27.5
2061–27.226.3–28.5–2726.3–27.6
2062–27.226.3–28.7–26.926.1–27.6
2063–27.426.3–28.5–2726.3–27.7
2064–27.226.3–28.3–26.926.4–27.5
2065–27.426.5–28.6–26.926.4–27.6
2066–27.426.5–28.5–2726.5–27.6
2067–27.426.3–28.5–2726.4–27.6
2068–27.526.4–28.6–27.226.5–27.6
2069–27.326.5–28.6–27.126.5–27.6
2070–27.426.4–28.7–27.126.4–27.8
2071–27.526.6–28.5–27.126.4–27.7
2072–27.626.6–28.8–27.326.4–27.7
2073–27.726.7–28.8–27.326.5–27.7
2074–27.526.5–28.8–27.126.5–27.8
2075–27.626.5–28.6–27.226.5–27.7
2076–27.626.6–28.8–27.326.4–27.8
2077–27.826.6–28.9–27.226.5–27.8
2078–27.626.8–28.9–27.226.6–27.9
2079–27.626.5–28.9–27.426.5–27.8
2080–27.526.6–28.8–27.226.5–27.9
2081–27.626.7–28.9–27.226.5–27.9
2082–27.726.8–28.8–27.326.5–27.9
2083–27.726.7–29.3–27.426.6–27.8
2084–27.826.7–29–27.426.7–28
2085–2826.8–29.2–27.426.7–28.1
2086–27.726.6–29.1–27.326.6–28
2087–27.826.8–29.1–27.426.6–28
2088–27.826.7–29.3–27.526.6–28.2
2089–27.726.8–29.2–27.326.7–28.2
2090–27.826.9–29.3–27.426.7–28.2
2091–27.926.7–29.2–27.626.6–28.1
2092–27.926.8–29.2–27.526.7–28.1
2093–27.826.8–29.3–27.426.7–28.2
2094–27.826.9–29.1–27.426.8–28.1
2095–28.126.8–29.2–27.626.7–28.2
2096–27.726.8–29.3–27.426.7–28.1
2097–27.926.8–29.1–27.426.7–28.2
2098–2826.9–29.7–27.526.6–28.2
2099–27.826.9–29.2–27.526.6–28.3
2100–27.926.9–29.2–27.526.7–28.1

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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