伯利兹与危地马拉对比

伯利兹与危地马拉：温度

2025 年温度：伯利兹为 26.1 °C，危地马拉为 23.7 °C（据 ERA5 观测）。 2025 年伯利兹的数值较高，高出 2.4 °C，是危地马拉的 1.1 倍。

在地图上查看其变化

°C · ERA5

伯利兹与危地马拉：温度2025 年温度：伯利兹为 26.1 °C，危地马拉为 23.7 °C（据 ERA5 观测）。 2025 年伯利兹的数值较高，高出 2.4 °C，是危地马拉的 1.1 倍。
伯利兹危地马拉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，伯利兹的数值都更高。
  • 2025 年，在 233 个国家中，伯利兹排名第 72，危地马拉排名第 115（从高到低）。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年伯利兹为 28 °C，危地马拉为 25.6 °C。

逐年数据

°C · ERA5

年份伯利兹伯利兹：CMIP6 历史模拟，模型中位数危地马拉危地马拉：CMIP6 历史模拟，模型中位数
202526.126.423.723.9
202426.626.524.224
202326.626.424.123.9
202225.926.423.423.9
202126.326.323.623.9
202026.426.323.823.8
201926.426.123.923.7
201825.626.223.223.7
201725.926.323.323.8
20162626.123.623.6
201526.226.223.623.7
201425.62623.123.4
201325.826.123.323.5
201225.625.92323.5
201125.825.923.223.4
201025.62623.223.5
200925.925.923.323.4
200825.325.822.523.3
200725.625.822.923.3
200625.425.722.723.2
200525.925.82323.3
200425.525.822.623.3
200325.625.82323.2
200225.425.822.823.3
20012525.722.323.3
200024.725.822.223.3
199924.825.622.123.1
199825.825.623.323.1
199725.625.622.923.1
199624.925.522.323
199525.625.422.822.8
199425.325.422.622.9
199325.125.322.422.8
19922525.322.322.7
199125.325.522.523
19902525.622.223.1
198924.925.52223
19882525.522.422.9
19872525.422.422.9
198624.625.52223
198524.825.32222.8
198424.625.221.922.7
198325.225.222.522.6
198224.925.322.322.8
198124.625.421.922.9
198024.825.322.122.8
197924.825.422.122.8
197824.725.322.222.7
197724.625.32222.8
197624.125.321.622.8
197524.725.322.222.7
197424.425.321.822.8
197324.825.322.322.7
197224.925.222.322.7
197124.725.22222.6
197024.525.121.922.6
196924.825.322.322.7
196824.325.321.522.7
196724.725.121.822.6
196624.325.121.622.6
196524.625.121.822.6
196425.125.12222.5
196324.725.121.922.5
196224.325.321.622.8
196124.425.321.622.7
196024.325.321.622.8
195924.225.321.422.6
195824.725.32222.7
195724.325.221.622.8
195623.625.220.922.7
195524.225.421.522.8
19542425.421.222.8
195324.925.322.122.8
195224.525.221.822.7
195124.625.32222.8
195023.725.221.122.7
  • 12.3预测值
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2026–2100
年份伯利兹伯利兹：CMIP6 历史模拟，模型中位数危地马拉危地马拉：CMIP6 历史模拟，模型中位数
2026–26.525.8–27.2–2423.2–24.7
2027–26.426.1–27.1–2423.5–24.7
2028–26.426.1–27.1–24.123.7–24.7
2029–26.526.1–27.1–24.123.6–24.6
2030–26.525.9–27.1–2423.5–24.6
2031–26.526–27.4–24.123.6–24.8
2032–26.726.1–27.3–24.223.6–24.9
2033–26.526–27.1–2423.5–24.7
2034–26.526–27.4–24.123.5–24.9
2035–26.626–27.3–24.123.6–24.8
2036–26.726.2–27.2–24.223.7–24.7
2037–26.726.2–27.3–24.423.7–24.9
2038–26.926.3–27.4–24.523.9–24.9
2039–26.826.3–27.4–24.323.9–25
2040–26.826.2–27.2–24.323.8–25
2041–26.726.3–27.2–24.323.8–24.9
2042–26.826.2–27.7–24.423.6–25.3
2043–26.826.4–27.7–24.423.9–25.3
2044–26.826.3–27.8–24.423.9–25.3
2045–26.926.3–27.7–24.423.9–25.3
2046–2726.4–27.8–24.623.9–25.5
2047–27.126.6–27.9–24.624.1–25.4
2048–27.126.5–27.9–24.724–25.5
2049–27.226.5–27.8–24.724.1–25.4
2050–2726.5–27.8–24.624.1–25.5
2051–2726.6–27.9–24.624.2–25.6
2052–27.126.5–28–24.724–25.6
2053–2726.5–27.9–24.624–25.6
2054–27.226.6–27.9–24.824.2–25.5
2055–27.226.7–27.8–24.824.2–25.5
2056–27.126.6–28.1–24.724.1–25.6
2057–27.226.5–28–24.824–25.6
2058–27.126.5–28.3–24.824.1–26
2059–27.326.6–28.2–2524.2–25.9
2060–27.426.6–28.1–2524.3–25.7
2061–27.326.8–28.3–24.924.3–25.9
2062–27.326.6–28.4–24.924.1–26
2063–27.426.5–28.1–2524.2–25.9
2064–27.426.8–28.1–2524.3–25.8
2065–27.526.7–28.1–25.124.3–25.9
2066–27.526.7–28.2–2524.4–25.9
2067–27.426.7–28.1–24.924.4–25.8
2068–27.726.8–28.3–25.224.5–25.9
2069–27.626.8–28.6–25.124.4–26.2
2070–27.426.7–28.6–25.124.4–26.1
2071–27.726.8–28.4–25.324.5–26
2072–27.726.8–28.5–25.424.5–26.2
2073–27.826.9–28.7–25.324.6–26.3
2074–27.626.9–28.6–25.224.6–26.3
2075–27.626.9–28.4–25.224.5–26
2076–27.626.8–28.3–25.324.5–26
2077–27.726.8–28.3–25.324.3–26
2078–27.726.9–28.5–25.324.6–26.1
2079–27.826.6–28.6–25.424.3–26.3
2080–27.626.9–28.5–25.324.5–26.3
2081–27.727–28.5–25.324.6–26.2
2082–27.726.8–28.5–25.424.4–26.2
2083–27.626.9–28.9–25.324.5–26.5
2084–27.727–28.8–25.524.5–26.5
2085–27.726.9–28.8–25.524.4–26.5
2086–27.726.8–28.8–25.424.4–26.5
2087–27.826.9–28.7–25.424.4–26.4
2088–27.926.9–29–25.524.6–26.6
2089–27.727–28.9–25.324.7–26.4
2090–27.727–28.7–25.424.6–26.4
2091–28.127–28.9–25.724.7–26.5
2092–27.827.2–28.7–25.624.9–26.4
2093–27.727.1–28.9–25.324.7–26.7
2094–27.827.1–28.8–25.424.7–26.5
2095–27.927.1–29–25.624.7–26.7
2096–27.927.1–28.9–25.524.7–26.7
2097–27.827.1–28.7–25.424.7–26.3
2098–2826.8–29.2–25.724.6–26.8
2099–2827.1–28.9–25.624.7–26.6
2100–2827.1–29–25.624.8–26.7

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。

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

伯利兹与危地马拉对比

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