加拿大与中国对比

加拿大与中国:温度

2025 年温度:加拿大为 -2.6 °C,中国为 8.3 °C(据 ERA5 观测)。 2025 年中国的数值较高,高出 10.8 °C。

°C · ERA5

加拿大与中国:温度2025 年温度:加拿大为 -2.6 °C,中国为 8.3 °C(据 ERA5 观测)。 2025 年中国的数值较高,高出 10.8 °C。
加拿大中国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,中国的数值都更高。
  • 2025 年,在 233 个国家中,加拿大排名第 232,中国排名第 212(从高到低)。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年加拿大为 0.8 °C,中国为 10 °C。

逐年数据

°C · ERA5

年份加拿大加拿大:CMIP6 历史模拟,模型中位数中国中国:CMIP6 历史模拟,模型中位数
2025-2.6-2.28.37.9
2024-1.8-28.47.9
2023-1.8-2.387.8
2022-3.6-2.37.87.8
2021-2.8-2.47.87.7
2020-3.6-2.57.67.7
2019-3.6-2.77.67.7
2018-4.2-2.77.57.6
2017-3.2-2.67.87.7
2016-2.7-2.77.87.5
2015-3.5-2.77.77.5
2014-4.1-2.67.47.3
2013-4-2.97.47.5
2012-3-2.96.67.4
2011-3.4-36.97.4
2010-1.7-37.27.3
2009-4-3.17.47.2
2008-4.2-37.27.1
2007-4-3.17.77.1
2006-2.3-3.47.67.2
2005-3.2-3.177.3
2004-4.9-3.17.37.1
2003-3.7-3.17.17.1
2002-4.3-3.47.37.1
2001-3-3.47.27.2
2000-4.1-3.56.87
1999-3.3-3.47.46.9
1998-2.6-3.67.66.9
1997-4.2-3.66.96.9
1996-4.9-3.96.56.8
1995-4.2-4.16.86.7
1994-4.3-4.17.26.6
1993-4.4-4.56.66.3
1992-5-4.66.46.2
1991-4.4-46.76.7
1990-5-3.776.8
1989-5-4.16.66.7
1988-4.1-4.46.76.6
1987-3.3-46.86.6
1986-4.8-4.26.36.5
1985-4.8-4.46.16.5
1984-4.5-4.46.16.3
1983-4.7-4.66.36.1
1982-5.8-4.26.66.5
1981-2.8-4.26.46.5
1980-4.4-4.46.36.5
1979-4.9-4.36.56.4
1978-5.4-4.46.56.5
1977-3.9-4.46.26.4
1976-4.9-4.75.96.2
1975-4.9-4.36.66.4
1974-5.6-4.46.16.5
1973-4-4.66.56.4
1972-6.8-4.76.16.3
1971-4.8-4.56.26.3
1970-5-4.466.3
1969-4.4-4.466.3
1968-4.7-4.86.16.3
1967-5.4-4.65.86.4
1966-5.1-4.56.26.4
1965-5.5-4.66.26.2
1964-5.4-4.76.36.3
1963-4.6-4.56.56.5
1962-4.8-4.56.26.5
1961-5-4.46.56.6
1960-4.4-4.56.46.5
1959-5.2-4.66.56.5
1958-4.2-4.26.56.4
1957-4.9-4.55.76.6
1956-5.7-4.45.76.6
1955-4.9-4.26.26.6
1954-4.7-4.56.16.5
1953-4.1-4.476.5
1952-4.1-4.46.36.4
1951-5.5-4.46.56.5
1950-6-4.36.76.6
  • 12.3预测值
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2026–2100
年份加拿大加拿大:CMIP6 历史模拟,模型中位数中国中国:CMIP6 历史模拟,模型中位数
2026–-2.2-3.6–-0.3–7.97.1–9
2027–-2.2-3.6–-0.5–87.2–8.9
2028–-2.2-3.8–-0.8–8.17.1–9.1
2029–-2.1-3.4–-0.6–8.17.3–9
2030–-2.2-3.7–-0.6–8.17.3–8.9
2031–-2.1-3.6–-0.6–8.17.2–9
2032–-1.9-3.5–-0.4–8.27.4–9
2033–-2-3.4–-0.7–8.37.4–9
2034–-1.8-3–-0.6–8.37.4–9.3
2035–-1.7-3.1–-0.3–8.37.4–9.3
2036–-1.8-3.2–-0.3–8.37.5–9.2
2037–-1.7-3.3–-0.1–8.47.5–9.4
2038–-1.7-3.3–0.2–8.57.6–9.3
2039–-1.5-3.1–0.2–8.57.5–9.5
2040–-1.6-3.1–0.2–8.57.6–9.5
2041–-1.3-2.7–0.1–8.57.6–9.6
2042–-1.5-2.8–0.2–8.57.5–9.6
2043–-1.5-2.9–0.4–8.57.6–9.7
2044–-1.2-2.6–0.5–8.77.7–9.7
2045–-1.5-3.1–0.2–8.77.8–9.6
2046–-1-2.6–0.8–8.87.8–9.7
2047–-1-2.6–0.6–8.87.8–9.8
2048–-1.2-2.7–0.6–8.97.9–9.9
2049–-0.9-2.3–0.7–8.87.8–10
2050–-1.1-2.7–0.9–97.8–10.1
2051–-1.2-2.7–0.8–98.1–10
2052–-0.9-2.4–0.9–8.87.9–9.8
2053–-0.9-2.9–0.8–98–10
2054–-1.2-2.7–1.1–98.1–10.1
2055–-0.7-2.5–1–98.1–10.1
2056–-1.1-3.1–0.9–9.28.2–10.3
2057–-0.8-2.4–1.2–9.27.8–10.3
2058–-0.7-2.4–1.4–9.18.2–10.2
2059–-0.5-1.9–1.4–9.28.1–10.4
2060–-0.4-1.9–1.2–9.28.1–10.4
2061–-0.3-2.2–1.5–9.28.2–10.3
2062–-0.5-2.4–1.7–9.38.3–10.6
2063–-0.5-1.9–1.5–9.38.3–10.4
2064–-0.6-2.3–1.5–9.28.3–10.3
2065–-0.5-2.1–1.8–9.38.3–10.4
2066–-0.4-2–2.1–9.38.3–10.4
2067–-0.4-1.9–1.5–9.38.3–10.5
2068–-0.3-1.8–2.1–9.68.4–10.7
2069–-0.1-2.1–1.8–9.68.3–10.7
2070–-0.4-2–2.1–9.48.3–10.7
2071–-0.3-2.1–2–9.58.3–10.9
2072–-0-1.8–2.2–9.58.3–10.8
2073–0.1-1.9–2.5–9.78.5–10.8
2074–-0-1.6–2.2–9.78.4–11
2075–-0.3-1.9–1.9–9.68.5–10.9
2076–-0-2–2.1–9.68.5–10.8
2077–0.1-1.7–2.5–9.78.7–11
2078–-0-1.5–2.5–9.68.6–11
2079–-0.1-1.8–2.3–9.78.5–11
2080–0-1.9–2–9.78.6–10.9
2081–0.1-2–2.2–9.68.6–11.1
2082–0.2-1.5–2.3–9.78.6–11
2083–0.1-1.5–2.3–9.98.9–11.1
2084–0.2-1.5–2.4–9.98.5–11.1
2085–0.5-1.7–2.8–9.88.6–11.3
2086–0.5-1.3–2.7–9.98.5–11.2
2087–0.4-1.4–2.6–9.88.7–11.3
2088–0.3-1.8–2.5–9.88.7–11.3
2089–0.3-1.6–2.4–9.98.6–11.4
2090–0.3-1.9–2.3–108.9–11.2
2091–0.4-1.3–2.7–10.19–11.2
2092–0.5-1.5–3–9.98.7–11.2
2093–0.5-1.5–2.9–9.98.9–11.2
2094–0.5-1.6–2.9–108.8–11.2
2095–0.6-1.2–3.2–108.7–11.3
2096–0.7-1.3–3.3–10.18.5–11.3
2097–0.8-1.1–2.9–108.7–11.3
2098–0.9-1.2–3–9.98.9–11.4
2099–0.5-1.5–3–108.7–11.3
2100–0.8-1.4–3.2–108.9–11.3

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。

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

加拿大与中国对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境