文莱与马来西亚对比

文莱与马来西亚：温度

2025 年温度：文莱为 26.8 °C，马来西亚为 25.9 °C（据 ERA5 观测）。 2025 年文莱的数值较高，高出 0.9 °C，是马来西亚的 1.04 倍。

在地图上查看其变化

°C · ERA5

文莱与马来西亚：温度2025 年温度：文莱为 26.8 °C，马来西亚为 25.9 °C（据 ERA5 观测）。 2025 年文莱的数值较高，高出 0.9 °C，是马来西亚的 1.04 倍。
文莱马来西亚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，文莱的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年文莱为 28.7 °C，马来西亚为 28 °C。

逐年数据

°C · ERA5

年份文莱文莱：CMIP6 历史模拟，模型中位数马来西亚马来西亚：CMIP6 历史模拟，模型中位数
202526.827.225.926.5
202427.327.226.426.6
20232727.226.126.5
202226.427.225.726.5
202126.627.125.726.5
202026.827.12626.4
201926.927.126.226.4
201826.727.125.926.4
201726.62725.826.3
2016272726.326.3
201526.62725.826.3
201426.326.825.626.2
201326.526.825.726.2
201226.426.925.526.3
201126.326.825.426.2
201026.526.825.826.2
200926.526.825.626.1
20082626.825.226.1
200726.226.725.426.1
200626.226.725.426.1
200526.326.725.726.1
200426.226.825.526.2
200326.326.725.526
200226.426.725.626
200126.326.725.426.1
200026.226.625.326
199926.126.625.226
199826.726.62626
199726.226.525.325.9
19962626.525.125.8
199526.126.525.225.8
199426.126.425.225.7
199325.926.325.125.6
199225.926.125.125.5
19912626.525.125.8
199026.126.625.325.9
198925.826.524.925.8
19882626.525.225.8
198726.126.525.325.8
198625.726.524.925.8
198525.726.324.825.6
198425.526.424.625.7
198326.126.325.425.6
198225.826.42525.7
198125.826.425.125.7
198025.826.425.125.7
197925.926.425.125.7
197825.826.325.125.7
197725.626.424.925.7
197625.326.324.625.6
197525.326.324.625.6
197425.126.324.525.6
197325.726.324.925.7
197225.426.224.725.6
197125.126.324.425.6
197025.426.224.725.6
196925.426.324.725.6
196825.126.324.525.5
196725.126.224.325.5
19662526.224.325.6
196525.126.224.425.5
196425.426.224.725.5
196325.226.124.625.4
196225.326.324.625.6
196125.326.324.625.7
196025.326.324.625.7
195925.426.324.625.6
195825.626.424.925.7
195725.426.324.525.6
195624.926.324.225.6
195525.126.424.325.6
19542526.324.225.6
195325.426.324.625.6
195225.426.324.625.6
195125.226.424.525.7
195024.926.424.325.7
  • 12.3预测值
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2026–2100
年份文莱文莱：CMIP6 历史模拟，模型中位数马来西亚马来西亚：CMIP6 历史模拟，模型中位数
2026–27.226.8–27.7–26.626.1–27.1
2027–27.226.8–27.7–26.526.2–27
2028–27.227–27.7–26.626.3–27
2029–27.527.1–27.8–26.726.4–27.1
2030–27.327–27.7–26.626.3–27.1
2031–27.426.8–27.7–26.726.2–27.1
2032–27.427.1–27.9–26.826.4–27.2
2033–27.427.1–27.7–26.826.4–27.1
2034–27.427.1–27.8–26.726.4–27.2
2035–27.327.1–28.1–26.726.4–27.4
2036–27.426.9–27.8–26.826.3–27.2
2037–27.527.1–27.8–26.926.4–27.2
2038–27.627.3–28–26.926.6–27.3
2039–27.527.1–28–26.926.5–27.3
2040–27.527.2–28–26.926.5–27.4
2041–27.627.2–28–2726.6–27.4
2042–27.727.2–28.2–2726.5–27.5
2043–27.527.1–28.2–26.826.4–27.5
2044–27.727.2–28.1–26.926.5–27.4
2045–27.627.3–28.1–2726.5–27.4
2046–27.827.2–28.2–27.126.6–27.6
2047–27.827.2–28.4–27.126.6–27.7
2048–27.827.4–28.2–27.126.7–27.6
2049–27.827.4–28.3–27.226.7–27.7
2050–27.727.2–28.5–27.126.6–27.8
2051–27.927.4–28.5–27.226.7–27.8
2052–27.827.5–28.5–27.226.7–27.8
2053–27.927.3–28.4–27.226.7–27.8
2054–27.927.4–28.6–27.326.7–27.9
2055–27.927.5–28.5–27.326.8–27.9
2056–2827.4–28.7–27.326.8–28
2057–2827.4–28.5–27.426.8–27.8
2058–27.927.6–28.7–27.326.8–28
2059–2827.5–28.7–27.426.9–28.1
2060–28.227.6–28.7–27.526.9–28.1
2061–28.127.5–28.8–27.426.8–28.1
2062–2827.4–28.9–27.426.7–28.2
2063–2827.5–28.8–27.426.9–28.2
2064–28.227.5–28.8–27.526.8–28.1
2065–28.127.5–28.8–27.526.8–28.1
2066–28.127.5–28.8–27.526.9–28.2
2067–28.127.5–28.7–27.426.8–28.1
2068–28.127.5–28.8–27.626.9–28.2
2069–28.227.5–28.9–27.526.9–28.3
2070–28.127.7–29–27.526.9–28.3
2071–28.227.6–28.9–27.726.9–28.3
2072–28.327.6–28.8–27.626.9–28.2
2073–28.327.8–29.3–27.727–28.5
2074–28.227.7–29–27.527–28.4
2075–28.227.6–28.8–27.626.9–28.2
2076–28.327.7–29–27.627–28.4
2077–28.427.7–29–27.727–28.4
2078–28.327.8–29–27.627.1–28.4
2079–28.227.6–29.1–27.627–28.5
2080–28.427.7–29.2–27.827–28.5
2081–28.427.8–29–27.727.1–28.4
2082–28.427.8–29–27.727.1–28.3
2083–28.427.7–29.3–27.727.1–28.5
2084–28.427.7–29.1–27.827–28.4
2085–28.327.7–29.2–27.827.1–28.6
2086–28.327.8–29.3–27.727.1–28.6
2087–28.427.8–29.3–27.727.1–28.6
2088–28.527.8–29.1–27.827.1–28.6
2089–28.427.8–29.1–27.827.1–28.5
2090–28.527.8–29.2–27.827.2–28.6
2091–28.627.8–29.4–2827.1–28.7
2092–28.627.8–29.3–27.927.1–28.6
2093–28.427.8–29.5–27.827.2–28.8
2094–28.727.8–29.2–2827.2–28.6
2095–28.627.8–29.3–2827.2–28.7
2096–28.527.7–29.5–27.827.1–28.8
2097–28.627.7–29.2–27.927.1–28.5
2098–28.627.7–29.3–2827.1–28.7
2099–28.527.8–29.3–27.827.1–28.7
2100–28.727.8–29.2–2827.1–28.6

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。

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

文莱与马来西亚对比

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