匈牙利与罗马尼亚对比

匈牙利与罗马尼亚：温度

2025 年温度：匈牙利为 12 °C，罗马尼亚为 11.1 °C（据 ERA5 观测）。 2025 年匈牙利的数值较高，高出 0.9 °C，是罗马尼亚的 1.08 倍。

在地图上查看其变化

°C · ERA5

匈牙利与罗马尼亚：温度2025 年温度：匈牙利为 12 °C，罗马尼亚为 11.1 °C（据 ERA5 观测）。 2025 年匈牙利的数值较高，高出 0.9 °C，是罗马尼亚的 1.08 倍。
匈牙利罗马尼亚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，匈牙利的数值都更高。
  • 2025 年，在 233 个国家中，匈牙利排名第 182，罗马尼亚排名第 190（从高到低）。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年匈牙利为 14.4 °C，罗马尼亚为 13.1 °C。

逐年数据

°C · ERA5

年份匈牙利匈牙利：CMIP6 历史模拟，模型中位数罗马尼亚罗马尼亚：CMIP6 历史模拟，模型中位数
20251212.411.111.1
202413.212.212.111
202312.812.411.711
202212.412.71111.3
202111.512.610.111.1
20201212.511.111
201912.71211.410.6
201812.511.910.910.7
201711.611.910.510.5
201611.611.910.410.5
201512.212.11110.8
201412.511.810.710.5
201311.611.810.510.4
201211.911.710.510.4
201111.311.99.710.4
201010.711.91010.6
200911.911.910.610.5
200811.911.910.610.6
200712.211.71110.1
200611.111.69.610.3
200510.311.69.310.2
200410.711.39.610.1
200310.911.59.410.2
200211.811.110.39.9
200110.911.29.99.9
200012.111.510.510.1
19991111.210.19.9
199810.711.29.49.7
199710.3118.79.6
19969.711.18.79.8
199510.810.79.39.5
199412.111.110.79.6
199310.610.68.99.2
199211.410.19.58.8
19911010.88.79.3
199011.31110.19.8
198911.111.19.99.5
198810.710.59.19.2
19871010.58.69.1
198610.410.49.39.3
19859.610.68.29.2
198410.310.68.99.1
198311.210.49.68.9
198210.710.59.29
198110.710.49.29.1
19809.310.58.19
197910.710.29.39
19789.710.68.49.2
197710.710.39.38.9
197610.210.38.29
197511.210.19.88.8
197411.110.59.29
197310.510.58.89.2
197210.710.29.38.9
197110.610.69.29.1
197010.310.19.28.8
196910.210.38.69
196810.910.39.59
196710.910.49.49
196611.410108.7
19659.810.18.58.8
19641010.38.69.1
196310.310.38.99
196210.410.49.29.2
196111.810.59.79.2
196011.110.69.79.3
195911.210.78.89.4
19581110.79.59.3
195710.810.29.28.9
19569.310.37.78.9
195510.110.78.89.2
19549.610.38.19.1
195310.610.78.79.4
195210.810.69.69.3
195111.910.4109.1
19501210.6109.2
  • 12.3预测值
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2026–2100
年份匈牙利匈牙利：CMIP6 历史模拟，模型中位数罗马尼亚罗马尼亚：CMIP6 历史模拟，模型中位数
2026–12.611.6–13.6–11.210.2–12
2027–12.411.9–13.4–11.110.2–12.5
2028–12.711.8–13.7–11.210.2–12
2029–12.711.5–13.6–11.310.4–12.2
2030–12.611.3–13.8–11.210–12.3
2031–12.511.1–14.1–11.19.8–12.5
2032–12.811.6–13.6–11.410.6–12.1
2033–12.411.8–13.6–11.210.4–12.4
2034–12.811.6–13.8–11.410.4–12.3
2035–12.811.7–13.8–11.510.7–12.7
2036–13.111.9–14.7–11.710.5–13
2037–12.811.8–14–11.410.1–12.7
2038–13.111.8–14.4–11.910.4–12.9
2039–1312–14–11.710.4–12.7
2040–1311.7–14.1–11.710.5–12.7
2041–12.712–13.8–11.410.8–12.5
2042–13.111.5–14–11.610.1–12.8
2043–13.111.4–14.4–11.810.2–13.1
2044–1311.2–14.2–11.69.9–12.7
2045–1311.7–14.4–11.610.7–13.2
2046–12.911.7–14.3–11.610.6–13
2047–13.211.9–14.3–11.910.3–13
2048–13.612.2–14.3–12.110.9–13.2
2049–13.211.8–14.7–11.910.7–13.2
2050–13.212.2–14.6–11.910.7–13.4
2051–13.211.8–14.9–1210.8–13.4
2052–13.311.8–14.8–11.910.8–13.5
2053–13.312.3–14.6–12.210.9–13.6
2054–13.312.2–15–11.910.9–13.5
2055–1312.1–14.7–1210.7–13.4
2056–13.312–14.5–1210.6–13.1
2057–13.312.2–15–11.910.9–13.6
2058–13.912.6–15.4–12.411.1–14
2059–13.511.8–14.7–12.210.6–13.4
2060–13.612.1–14.7–12.310.9–13.3
2061–13.612.2–14.7–12.210.9–13.5
2062–13.512.6–15.2–12.311.3–13.7
2063–13.712.5–15.1–12.310.8–13.8
2064–13.512.5–14.5–12.211.2–13.5
2065–13.712.3–14.9–12.511–13.7
2066–13.611.9–14.7–12.110.9–13.8
2067–13.912.5–15–12.611.1–13.8
2068–13.812.8–15.2–12.311.4–14
2069–13.912.6–15.1–12.711.4–14
2070–13.612.2–14.9–12.410.7–13.4
2071–13.711.6–15.4–12.410.5–14
2072–14.112.9–15.2–12.911.7–14
2073–13.712.3–15.1–12.310.9–13.7
2074–13.912.3–15.1–12.511.2–13.9
2075–13.412.7–15.4–12.311.3–13.8
2076–13.912.8–15.5–12.711.3–14
2077–13.812.8–15.1–12.611.2–13.8
2078–13.712.6–15.2–12.511.3–13.8
2079–13.812.6–15.7–12.611.3–14.3
2080–1413–15.3–12.811.7–13.8
2081–13.912.9–15.2–12.711.6–13.8
2082–14.113.1–15.7–12.811.7–14.2
2083–13.712.5–15.3–12.411.4–14.1
2084–14.212.6–15.7–13.111.4–14.1
2085–14.312.9–15.4–12.711.9–14.1
2086–14.413–16–1311.6–14.6
2087–14.312.6–15.6–12.911.3–14.3
2088–14.113–15.5–12.811.5–14
2089–1412.7–15.3–12.611.5–13.9
2090–14.612.7–15.6–13.411.5–14.5
2091–14.213–15.4–13.111.6–14.1
2092–14.412.5–15.6–1311.5–14.5
2093–13.812.7–16–12.711.4–14.8
2094–14.412.6–16.2–13.310.9–15
2095–14.312.5–15.7–13.111.6–14.3
2096–14.412.5–16–12.911–14.8
2097–14.412.7–15.6–13.111.4–14.8
2098–14.312.9–15.6–12.911.1–14.5
2099–14.512.8–15.4–13.111.5–14.2
2100–14.412.6–15.5–13.111.2–14.3

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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匈牙利与罗马尼亚对比

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