°C · ERA5
数据解读
- 自 1950 年以来,在两国都有数据的每一年,越南的数值都更高。
- 2025 年,在 233 个国家中,瑞典排名第 222,越南排名第 110(从高到低)。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年瑞典为 6.4 °C,越南为 26.4 °C。
逐年数据
°C · ERA5
| 年份 | 瑞典 | 瑞典:CMIP6 历史模拟,模型中位数 | 越南 | 越南:CMIP6 历史模拟,模型中位数 |
|---|---|---|---|---|
| 2025 | 5.3 | 4.5 | 24 | 24.8 |
| 2024 | 4.7 | 4 | 24.9 | 24.8 |
| 2023 | 3.8 | 4.2 | 24.6 | 24.7 |
| 2022 | 4.6 | 4.4 | 24 | 24.8 |
| 2021 | 3.8 | 4.2 | 24.2 | 24.8 |
| 2020 | 5.5 | 4.1 | 24.5 | 24.6 |
| 2019 | 4.1 | 3.9 | 24.8 | 24.6 |
| 2018 | 4.3 | 3.8 | 24.3 | 24.5 |
| 2017 | 3.8 | 3.6 | 24.2 | 24.6 |
| 2016 | 4.1 | 4 | 24.6 | 24.4 |
| 2015 | 4.7 | 3.9 | 24.6 | 24.5 |
| 2014 | 4.9 | 4.2 | 24 | 24.4 |
| 2013 | 4 | 4 | 24 | 24.4 |
| 2012 | 3.1 | 4 | 24.1 | 24.4 |
| 2011 | 4.7 | 3.8 | 23.2 | 24.4 |
| 2010 | 1.7 | 3.8 | 24.4 | 24.3 |
| 2009 | 3.6 | 3.7 | 23.9 | 24.4 |
| 2008 | 4.3 | 4 | 23.3 | 24.2 |
| 2007 | 4.2 | 3.5 | 23.9 | 24.2 |
| 2006 | 4.5 | 3.9 | 24 | 24.3 |
| 2005 | 4.1 | 3.8 | 23.8 | 24.3 |
| 2004 | 3.7 | 3.4 | 23.7 | 24.3 |
| 2003 | 3.8 | 3.6 | 24.1 | 24.2 |
| 2002 | 3.9 | 3.3 | 24.1 | 24.2 |
| 2001 | 3.3 | 3.4 | 23.8 | 24.3 |
| 2000 | 4.6 | 3.4 | 23.6 | 24.2 |
| 1999 | 3.7 | 3.1 | 23.6 | 24.1 |
| 1998 | 3 | 3.4 | 24.5 | 24.2 |
| 1997 | 3.9 | 2.9 | 23.8 | 24.2 |
| 1996 | 2.7 | 3.2 | 23.3 | 23.9 |
| 1995 | 3.3 | 3.1 | 23.5 | 24 |
| 1994 | 3.2 | 2.8 | 23.7 | 24 |
| 1993 | 3.1 | 2.7 | 23.5 | 23.8 |
| 1992 | 4 | 2.9 | 23.4 | 23.7 |
| 1991 | 3.6 | 3.1 | 23.9 | 23.9 |
| 1990 | 4.6 | 3 | 23.8 | 24.1 |
| 1989 | 4.6 | 3.1 | 23.3 | 23.9 |
| 1988 | 3.3 | 2.9 | 23.6 | 23.9 |
| 1987 | 1.6 | 2.9 | 24 | 23.9 |
| 1986 | 2.5 | 3 | 23.4 | 24 |
| 1985 | 1 | 2.9 | 23.2 | 23.8 |
| 1984 | 3.5 | 2.4 | 23.1 | 23.9 |
| 1983 | 3.5 | 2.5 | 23.4 | 23.7 |
| 1982 | 3.3 | 2.6 | 23.5 | 23.9 |
| 1981 | 2 | 2.5 | 23.6 | 23.9 |
| 1980 | 2.1 | 2.6 | 23.7 | 23.8 |
| 1979 | 2.1 | 2.7 | 23.6 | 23.9 |
| 1978 | 2 | 2.7 | 23.3 | 23.8 |
| 1977 | 2.5 | 2.5 | 23.2 | 23.9 |
| 1976 | 2.3 | 2.6 | 22.9 | 23.8 |
| 1975 | 4.3 | 2.6 | 23.1 | 23.8 |
| 1974 | 4 | 2.7 | 23.1 | 23.8 |
| 1973 | 3.2 | 2.4 | 23.8 | 24 |
| 1972 | 3.7 | 2.4 | 23.3 | 23.8 |
| 1971 | 2.9 | 2.3 | 22.8 | 23.8 |
| 1970 | 2.1 | 2 | 23.4 | 23.8 |
| 1969 | 2.4 | 2.1 | 23.6 | 23.9 |
| 1968 | 2.2 | 2.7 | 23.3 | 23.8 |
| 1967 | 3.1 | 2.4 | 22.9 | 23.7 |
| 1966 | 1.1 | 2.3 | 23.2 | 23.7 |
| 1965 | 1.7 | 2.4 | 23 | 23.8 |
| 1964 | 2.8 | 2.4 | 23.2 | 23.7 |
| 1963 | 2 | 2.5 | 23 | 23.7 |
| 1962 | 1.4 | 2.1 | 23 | 23.9 |
| 1961 | 3.5 | 2.5 | 23.3 | 24 |
| 1960 | 3 | 2.6 | 23.4 | 23.9 |
| 1959 | 4.1 | 2.4 | 23.3 | 23.8 |
| 1958 | 2.2 | 2.8 | 23.4 | 24 |
| 1957 | 3.1 | 2.2 | 23.3 | 23.9 |
| 1956 | 1.4 | 2.7 | 22.8 | 23.8 |
| 1955 | 1.9 | 2.3 | 22.8 | 24 |
| 1954 | 3.1 | 2.4 | 23.3 | 23.9 |
| 1953 | 4.4 | 2.3 | 23.4 | 23.9 |
| 1952 | 2.2 | 2.7 | 23.5 | 23.9 |
| 1951 | 3.2 | 2.5 | 23.2 | 23.9 |
| 1950 | 2.9 | 2.6 | 23.2 | 23.9 |
- 12.3预测值
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2026–2100
| 年份 | 瑞典 | 瑞典:CMIP6 历史模拟,模型中位数 | 越南 | 越南:CMIP6 历史模拟,模型中位数 |
|---|---|---|---|---|
| 2026 | – | 4.43.4–5.6 | – | 24.824.1–25.6 |
| 2027 | – | 4.23–5.9 | – | 24.824.2–25.5 |
| 2028 | – | 4.73.4–6.1 | – | 24.824.3–25.5 |
| 2029 | – | 4.73.3–6.2 | – | 25.224.3–25.7 |
| 2030 | – | 4.73.2–6.1 | – | 2524.4–25.5 |
| 2031 | – | 4.53.2–6.2 | – | 2524.4–25.6 |
| 2032 | – | 53.2–5.9 | – | 2524.4–25.7 |
| 2033 | – | 4.83.9–6.1 | – | 25.124.5–25.7 |
| 2034 | – | 4.93.6–6.2 | – | 2524.5–25.7 |
| 2035 | – | 4.83.2–6.2 | – | 25.124.3–25.9 |
| 2036 | – | 53.4–6.3 | – | 25.124.3–25.8 |
| 2037 | – | 4.93.6–6.2 | – | 25.224.6–25.7 |
| 2038 | – | 4.83.8–6.4 | – | 25.424.7–25.9 |
| 2039 | – | 4.73.5–6.3 | – | 25.224.5–25.9 |
| 2040 | – | 5.13.5–6.4 | – | 25.124.6–25.9 |
| 2041 | – | 53.5–6.3 | – | 25.324.7–26 |
| 2042 | – | 53.6–6.5 | – | 25.324.6–26 |
| 2043 | – | 5.43.8–7 | – | 25.224.7–26.1 |
| 2044 | – | 4.73.1–6.5 | – | 25.224.7–26 |
| 2045 | – | 5.13.4–6.3 | – | 25.324.7–26 |
| 2046 | – | 4.73.6–6.7 | – | 25.424.8–26.1 |
| 2047 | – | 5.33.8–6.9 | – | 25.524.8–26.2 |
| 2048 | – | 5.64.3–7.1 | – | 25.524.8–26.4 |
| 2049 | – | 5.43.8–7.2 | – | 25.624.9–26.3 |
| 2050 | – | 5.54–6.9 | – | 25.524.9–26.4 |
| 2051 | – | 5.43.9–7 | – | 25.624.9–26.4 |
| 2052 | – | 5.23.8–7 | – | 25.624.9–26.2 |
| 2053 | – | 5.43.9–6.7 | – | 25.524.9–26.3 |
| 2054 | – | 5.34–6.9 | – | 25.625–26.4 |
| 2055 | – | 5.23.6–6.6 | – | 25.724.9–26.3 |
| 2056 | – | 5.54–7 | – | 25.724.9–26.7 |
| 2057 | – | 5.64–7 | – | 25.725–26.4 |
| 2058 | – | 5.94.2–7.4 | – | 25.725–26.6 |
| 2059 | – | 5.54.2–7.3 | – | 25.825.2–26.7 |
| 2060 | – | 5.64.7–6.7 | – | 25.925.2–26.7 |
| 2061 | – | 5.64.6–6.9 | – | 25.824.9–26.6 |
| 2062 | – | 5.84.5–7.2 | – | 25.824.8–26.8 |
| 2063 | – | 5.74.2–7.4 | – | 25.925.1–26.6 |
| 2064 | – | 5.74.4–6.9 | – | 25.825.2–26.7 |
| 2065 | – | 5.74–7.1 | – | 25.825.2–26.6 |
| 2066 | – | 5.84.1–7.1 | – | 25.925.1–26.7 |
| 2067 | – | 5.54.4–7.4 | – | 25.825–26.5 |
| 2068 | – | 5.74–7.2 | – | 25.925.1–27 |
| 2069 | – | 64.1–7.6 | – | 2625.2–26.9 |
| 2070 | – | 5.84.2–7.7 | – | 25.825.1–26.9 |
| 2071 | – | 5.74.2–7.8 | – | 25.925.2–26.9 |
| 2072 | – | 5.84–7.1 | – | 2625.1–26.9 |
| 2073 | – | 5.94.3–7.3 | – | 26.125.4–27 |
| 2074 | – | 5.94.3–7.4 | – | 2625.2–27.1 |
| 2075 | – | 5.44.1–7.1 | – | 2625.2–26.9 |
| 2076 | – | 5.94.6–7.6 | – | 2625.3–27.1 |
| 2077 | – | 6.14.8–7.4 | – | 26.125.5–27 |
| 2078 | – | 6.14.3–7.7 | – | 26.125.4–27.1 |
| 2079 | – | 5.94–7.7 | – | 26.125.3–27.2 |
| 2080 | – | 5.94.1–7.6 | – | 26.225.4–27.3 |
| 2081 | – | 6.34.5–7.3 | – | 26.125.4–27.1 |
| 2082 | – | 5.94.6–8.1 | – | 26.125.4–27 |
| 2083 | – | 5.64.2–7.8 | – | 2625.5–27.4 |
| 2084 | – | 5.74.1–7.6 | – | 26.325.1–26.9 |
| 2085 | – | 6.14.4–7.7 | – | 26.325.5–27.1 |
| 2086 | – | 6.44.9–7.8 | – | 26.225.2–27.3 |
| 2087 | – | 6.24.7–8.6 | – | 26.325.4–27.2 |
| 2088 | – | 6.44.5–8 | – | 26.325.5–27.4 |
| 2089 | – | 6.14.6–7.3 | – | 26.225.4–27.3 |
| 2090 | – | 64.1–7.6 | – | 26.225.5–27.2 |
| 2091 | – | 6.34.4–7.9 | – | 26.225.5–27.4 |
| 2092 | – | 6.64.7–8 | – | 26.325.3–27.3 |
| 2093 | – | 6.84.8–8.3 | – | 26.225.6–27.3 |
| 2094 | – | 6.34.9–8 | – | 26.325.5–27.2 |
| 2095 | – | 6.44.9–7.8 | – | 26.525.6–27.4 |
| 2096 | – | 64.4–7.7 | – | 26.225.4–27.4 |
| 2097 | – | 6.64.7–8 | – | 26.425.4–27.2 |
| 2098 | – | 6.34.5–8.2 | – | 26.325.4–27.4 |
| 2099 | – | 6.34.9–8.5 | – | 26.325.3–27.3 |
| 2100 | – | 6.45–8.3 | – | 26.425.4–27.4 |
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
瑞典与越南对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支瑞典:2025 年为 GDP 的 2.47%越南:2025 年为 GDP 的 2.15%
- 军费开支(美元)瑞典:2025 年为 US$150亿越南:2025 年为 US$109亿
- 人均军费开支瑞典:2025 年为 US$1,549越南:2025 年为 US$104
- 军费占政府支出比例瑞典:2025 年为 5%(占政府支出)越南:2025 年为 9.9%(占政府支出)
- 武装部队人员瑞典:2020 年为 15,000 人越南:2020 年为 522,000 人
- 国家实力瑞典:2022 年为 0.19%(占全球实力)越南:2022 年为 1.11%(占全球实力)
- 武装部队占劳动力比例瑞典:2020 年为 0.27%(占劳动力)越南:2020 年为 0.95%(占劳动力)
- 武器进口瑞典:2025 年为 1.46亿 TIV越南:2025 年为 1.77亿 TIV
- 武器出口瑞典:2025 年为 2.35亿 TIV越南:2018 年为 1000万 TIV