°C · ERA5
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 | -2.2 | 8.3 | 7.9 |
| 2024 | -1.8 | -2 | 8.4 | 7.9 |
| 2023 | -1.8 | -2.3 | 8 | 7.8 |
| 2022 | -3.6 | -2.3 | 7.8 | 7.8 |
| 2021 | -2.8 | -2.4 | 7.8 | 7.7 |
| 2020 | -3.6 | -2.5 | 7.6 | 7.7 |
| 2019 | -3.6 | -2.7 | 7.6 | 7.7 |
| 2018 | -4.2 | -2.7 | 7.5 | 7.6 |
| 2017 | -3.2 | -2.6 | 7.8 | 7.7 |
| 2016 | -2.7 | -2.7 | 7.8 | 7.5 |
| 2015 | -3.5 | -2.7 | 7.7 | 7.5 |
| 2014 | -4.1 | -2.6 | 7.4 | 7.3 |
| 2013 | -4 | -2.9 | 7.4 | 7.5 |
| 2012 | -3 | -2.9 | 6.6 | 7.4 |
| 2011 | -3.4 | -3 | 6.9 | 7.4 |
| 2010 | -1.7 | -3 | 7.2 | 7.3 |
| 2009 | -4 | -3.1 | 7.4 | 7.2 |
| 2008 | -4.2 | -3 | 7.2 | 7.1 |
| 2007 | -4 | -3.1 | 7.7 | 7.1 |
| 2006 | -2.3 | -3.4 | 7.6 | 7.2 |
| 2005 | -3.2 | -3.1 | 7 | 7.3 |
| 2004 | -4.9 | -3.1 | 7.3 | 7.1 |
| 2003 | -3.7 | -3.1 | 7.1 | 7.1 |
| 2002 | -4.3 | -3.4 | 7.3 | 7.1 |
| 2001 | -3 | -3.4 | 7.2 | 7.2 |
| 2000 | -4.1 | -3.5 | 6.8 | 7 |
| 1999 | -3.3 | -3.4 | 7.4 | 6.9 |
| 1998 | -2.6 | -3.6 | 7.6 | 6.9 |
| 1997 | -4.2 | -3.6 | 6.9 | 6.9 |
| 1996 | -4.9 | -3.9 | 6.5 | 6.8 |
| 1995 | -4.2 | -4.1 | 6.8 | 6.7 |
| 1994 | -4.3 | -4.1 | 7.2 | 6.6 |
| 1993 | -4.4 | -4.5 | 6.6 | 6.3 |
| 1992 | -5 | -4.6 | 6.4 | 6.2 |
| 1991 | -4.4 | -4 | 6.7 | 6.7 |
| 1990 | -5 | -3.7 | 7 | 6.8 |
| 1989 | -5 | -4.1 | 6.6 | 6.7 |
| 1988 | -4.1 | -4.4 | 6.7 | 6.6 |
| 1987 | -3.3 | -4 | 6.8 | 6.6 |
| 1986 | -4.8 | -4.2 | 6.3 | 6.5 |
| 1985 | -4.8 | -4.4 | 6.1 | 6.5 |
| 1984 | -4.5 | -4.4 | 6.1 | 6.3 |
| 1983 | -4.7 | -4.6 | 6.3 | 6.1 |
| 1982 | -5.8 | -4.2 | 6.6 | 6.5 |
| 1981 | -2.8 | -4.2 | 6.4 | 6.5 |
| 1980 | -4.4 | -4.4 | 6.3 | 6.5 |
| 1979 | -4.9 | -4.3 | 6.5 | 6.4 |
| 1978 | -5.4 | -4.4 | 6.5 | 6.5 |
| 1977 | -3.9 | -4.4 | 6.2 | 6.4 |
| 1976 | -4.9 | -4.7 | 5.9 | 6.2 |
| 1975 | -4.9 | -4.3 | 6.6 | 6.4 |
| 1974 | -5.6 | -4.4 | 6.1 | 6.5 |
| 1973 | -4 | -4.6 | 6.5 | 6.4 |
| 1972 | -6.8 | -4.7 | 6.1 | 6.3 |
| 1971 | -4.8 | -4.5 | 6.2 | 6.3 |
| 1970 | -5 | -4.4 | 6 | 6.3 |
| 1969 | -4.4 | -4.4 | 6 | 6.3 |
| 1968 | -4.7 | -4.8 | 6.1 | 6.3 |
| 1967 | -5.4 | -4.6 | 5.8 | 6.4 |
| 1966 | -5.1 | -4.5 | 6.2 | 6.4 |
| 1965 | -5.5 | -4.6 | 6.2 | 6.2 |
| 1964 | -5.4 | -4.7 | 6.3 | 6.3 |
| 1963 | -4.6 | -4.5 | 6.5 | 6.5 |
| 1962 | -4.8 | -4.5 | 6.2 | 6.5 |
| 1961 | -5 | -4.4 | 6.5 | 6.6 |
| 1960 | -4.4 | -4.5 | 6.4 | 6.5 |
| 1959 | -5.2 | -4.6 | 6.5 | 6.5 |
| 1958 | -4.2 | -4.2 | 6.5 | 6.4 |
| 1957 | -4.9 | -4.5 | 5.7 | 6.6 |
| 1956 | -5.7 | -4.4 | 5.7 | 6.6 |
| 1955 | -4.9 | -4.2 | 6.2 | 6.6 |
| 1954 | -4.7 | -4.5 | 6.1 | 6.5 |
| 1953 | -4.1 | -4.4 | 7 | 6.5 |
| 1952 | -4.1 | -4.4 | 6.3 | 6.4 |
| 1951 | -5.5 | -4.4 | 6.5 | 6.5 |
| 1950 | -6 | -4.3 | 6.7 | 6.6 |
- 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
- 军费开支加拿大:2025 年为 GDP 的 1.63%中国:2025 年为 GDP 的 1.73%
- 军费开支(美元)加拿大:2025 年为 US$375亿中国:2025 年为 US$3350亿
- 人均军费开支加拿大:2025 年为 US$939中国:2025 年为 US$237
- 军费占政府支出比例加拿大:2025 年为 3.7%(占政府支出)中国:2025 年为 5.1%(占政府支出)
- 武装部队人员加拿大:2020 年为 72,000 人中国:2020 年为 254万 人
- 国家实力加拿大:2022 年为 0.81%(占全球实力)中国:2022 年为 23.41%(占全球实力)
- 武装部队占劳动力比例加拿大:2020 年为 0.35%(占劳动力)中国:2020 年为 0.33%(占劳动力)
- 武器进口加拿大:2025 年为 8300万 TIV中国:2025 年为 2.07亿 TIV
- 武器出口加拿大:2025 年为 3.12亿 TIV中国:2025 年为 8.8亿 TIV