°C · ERA5
数据解读
- 自 1950 年以来,在两国都有数据的每一年,古巴的数值都更高。
- 2025 年,在 233 个国家中,智利排名第 204,古巴排名第 71(从高到低)。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年智利为 11.1 °C,古巴为 28 °C。
逐年数据
°C · ERA5
| 年份 | 智利 | 智利:CMIP6 历史模拟,模型中位数 | 古巴 | 古巴:CMIP6 历史模拟,模型中位数 |
|---|---|---|---|---|
| 2025 | 9.4 | 9.7 | 26.1 | 26.6 |
| 2024 | 9.3 | 9.7 | 26.2 | 26.5 |
| 2023 | 9.5 | 9.6 | 26.3 | 26.6 |
| 2022 | 8.7 | 9.6 | 25.9 | 26.5 |
| 2021 | 9.4 | 9.6 | 25.9 | 26.5 |
| 2020 | 9.4 | 9.6 | 26.2 | 26.5 |
| 2019 | 9.4 | 9.5 | 26.1 | 26.4 |
| 2018 | 9.1 | 9.5 | 25.6 | 26.4 |
| 2017 | 9.2 | 9.4 | 25.7 | 26.4 |
| 2016 | 9.7 | 9.4 | 25.8 | 26.3 |
| 2015 | 9.4 | 9.4 | 26 | 26.2 |
| 2014 | 9 | 9.3 | 25.6 | 26.1 |
| 2013 | 9.2 | 9.3 | 25.6 | 26.3 |
| 2012 | 9.1 | 9.3 | 25.3 | 26.1 |
| 2011 | 8.8 | 9.3 | 25.4 | 26.2 |
| 2010 | 8.6 | 9.2 | 25 | 26.2 |
| 2009 | 8.9 | 9.2 | 25.4 | 26.1 |
| 2008 | 9 | 9.2 | 25.4 | 26 |
| 2007 | 8.5 | 9.2 | 25.5 | 26 |
| 2006 | 9.2 | 9.2 | 25.4 | 26 |
| 2005 | 8.8 | 9.1 | 25.3 | 26 |
| 2004 | 9.3 | 9.1 | 25.4 | 26 |
| 2003 | 9.2 | 9.2 | 25.8 | 26 |
| 2002 | 8.5 | 9.1 | 25.6 | 26 |
| 2001 | 8.7 | 9.1 | 25.2 | 25.9 |
| 2000 | 8.4 | 9 | 25.2 | 26 |
| 1999 | 8.9 | 9 | 25.1 | 25.9 |
| 1998 | 9.5 | 9 | 26.2 | 25.9 |
| 1997 | 9 | 9 | 26 | 25.8 |
| 1996 | 8.7 | 8.9 | 25 | 25.8 |
| 1995 | 8.8 | 8.8 | 25.4 | 25.7 |
| 1994 | 9.1 | 8.8 | 25.5 | 25.6 |
| 1993 | 8.8 | 8.7 | 25.1 | 25.6 |
| 1992 | 8.3 | 8.8 | 25.1 | 25.6 |
| 1991 | 8.5 | 8.9 | 25.5 | 25.8 |
| 1990 | 8.7 | 9 | 25.6 | 25.8 |
| 1989 | 8.7 | 9 | 25.3 | 25.8 |
| 1988 | 8.6 | 8.9 | 25.2 | 25.7 |
| 1987 | 8.9 | 8.9 | 25.2 | 25.6 |
| 1986 | 8.5 | 8.9 | 25.2 | 25.6 |
| 1985 | 8.8 | 8.9 | 24.9 | 25.7 |
| 1984 | 8.2 | 8.8 | 24.9 | 25.5 |
| 1983 | 8.9 | 8.8 | 25.1 | 25.5 |
| 1982 | 8.9 | 8.9 | 25.4 | 25.6 |
| 1981 | 8.8 | 8.9 | 24.7 | 25.7 |
| 1980 | 8.7 | 8.8 | 25.1 | 25.6 |
| 1979 | 9 | 8.8 | 24.8 | 25.6 |
| 1978 | 9 | 8.8 | 24.8 | 25.6 |
| 1977 | 8.9 | 8.8 | 25 | 25.5 |
| 1976 | 8 | 8.7 | 24.9 | 25.5 |
| 1975 | 8.1 | 8.7 | 25.3 | 25.5 |
| 1974 | 8.2 | 8.8 | 25.1 | 25.5 |
| 1973 | 8.4 | 8.7 | 25 | 25.5 |
| 1972 | 8.4 | 8.7 | 25.1 | 25.6 |
| 1971 | 8 | 8.7 | 24.9 | 25.4 |
| 1970 | 8.4 | 8.7 | 24.9 | 25.4 |
| 1969 | 8.6 | 8.7 | 25 | 25.5 |
| 1968 | 8.7 | 8.7 | 24.6 | 25.5 |
| 1967 | 8.2 | 8.7 | 25 | 25.5 |
| 1966 | 8.3 | 8.7 | 24.7 | 25.5 |
| 1965 | 8.4 | 8.7 | 25.1 | 25.4 |
| 1964 | 8.4 | 8.5 | 25.2 | 25.4 |
| 1963 | 8.5 | 8.5 | 25 | 25.4 |
| 1962 | 8.9 | 8.7 | 25.1 | 25.5 |
| 1961 | 8.7 | 8.8 | 25.3 | 25.6 |
| 1960 | 8.8 | 8.7 | 24.9 | 25.6 |
| 1959 | 8.3 | 8.7 | 25.5 | 25.6 |
| 1958 | 8.6 | 8.8 | 25.3 | 25.6 |
| 1957 | 8.4 | 8.7 | 25.4 | 25.5 |
| 1956 | 7.9 | 8.7 | 25.1 | 25.6 |
| 1955 | 7.6 | 8.7 | 25 | 25.6 |
| 1954 | 7.5 | 8.7 | 24.9 | 25.5 |
| 1953 | 8.2 | 8.7 | 25.4 | 25.6 |
| 1952 | 8.4 | 8.8 | 25 | 25.5 |
| 1951 | 8.1 | 8.7 | 25 | 25.6 |
| 1950 | 7.8 | 8.8 | 24.5 | 25.6 |
- 12.3预测值
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2026–2100
| 年份 | 智利 | 智利:CMIP6 历史模拟,模型中位数 | 古巴 | 古巴:CMIP6 历史模拟,模型中位数 |
|---|---|---|---|---|
| 2026 | – | 9.89.2–10.2 | – | 26.626.1–27.1 |
| 2027 | – | 9.89.2–10.2 | – | 26.726.3–27.2 |
| 2028 | – | 9.89.3–10.3 | – | 26.726.2–27.2 |
| 2029 | – | 9.89.2–10.3 | – | 26.726.3–27.2 |
| 2030 | – | 9.89.3–10.3 | – | 26.826.3–27.1 |
| 2031 | – | 9.99.4–10.4 | – | 26.726.4–27.3 |
| 2032 | – | 9.89.4–10.5 | – | 26.926.3–27.3 |
| 2033 | – | 9.89.4–10.4 | – | 26.826.3–27.4 |
| 2034 | – | 9.89.3–10.4 | – | 26.826.3–27.5 |
| 2035 | – | 9.89.4–10.4 | – | 26.826.4–27.3 |
| 2036 | – | 109.5–10.4 | – | 26.826.4–27.3 |
| 2037 | – | 109.5–10.5 | – | 26.926.5–27.5 |
| 2038 | – | 10.19.6–10.5 | – | 2726.5–27.4 |
| 2039 | – | 109.4–10.6 | – | 2726.3–27.5 |
| 2040 | – | 10.19.6–10.7 | – | 26.926.4–27.7 |
| 2041 | – | 10.19.5–10.7 | – | 26.926.5–27.5 |
| 2042 | – | 109.5–10.7 | – | 26.926.5–27.7 |
| 2043 | – | 109.5–10.7 | – | 2726.5–27.6 |
| 2044 | – | 10.19.6–10.8 | – | 2726.6–27.7 |
| 2045 | – | 10.29.7–10.8 | – | 27.126.6–27.7 |
| 2046 | – | 10.39.7–11 | – | 2726.5–27.7 |
| 2047 | – | 10.39.7–10.9 | – | 27.126.7–27.9 |
| 2048 | – | 10.39.8–11 | – | 27.226.6–27.7 |
| 2049 | – | 10.39.7–10.9 | – | 27.226.6–27.8 |
| 2050 | – | 10.39.8–10.9 | – | 27.326.6–27.8 |
| 2051 | – | 10.39.8–10.9 | – | 27.226.8–27.8 |
| 2052 | – | 10.49.9–11 | – | 27.126.6–27.8 |
| 2053 | – | 10.39.8–11 | – | 27.326.6–27.9 |
| 2054 | – | 10.49.8–11.2 | – | 27.327–27.8 |
| 2055 | – | 10.59.8–11.2 | – | 27.326.9–27.9 |
| 2056 | – | 10.59.8–11.1 | – | 27.326.8–27.9 |
| 2057 | – | 10.59.9–11.2 | – | 27.326.7–28.1 |
| 2058 | – | 10.59.9–11.2 | – | 27.426.8–28 |
| 2059 | – | 10.610–11.3 | – | 27.426.8–27.9 |
| 2060 | – | 10.610–11.3 | – | 27.526.9–28 |
| 2061 | – | 10.59.9–11.4 | – | 27.526.9–28.1 |
| 2062 | – | 10.69.9–11.3 | – | 27.526.8–28.1 |
| 2063 | – | 10.69.9–11.4 | – | 27.526.6–28.2 |
| 2064 | – | 10.69.9–11.4 | – | 27.526.8–28 |
| 2065 | – | 10.79.9–11.3 | – | 27.526.8–28.1 |
| 2066 | – | 10.69.9–11.4 | – | 27.626.9–28.1 |
| 2067 | – | 10.710–11.5 | – | 27.626.9–28.2 |
| 2068 | – | 10.810–11.5 | – | 27.626.8–28.2 |
| 2069 | – | 10.810–11.5 | – | 27.627–28.3 |
| 2070 | – | 10.69.9–11.5 | – | 27.626.8–28.3 |
| 2071 | – | 10.910.2–11.5 | – | 27.826.9–28.3 |
| 2072 | – | 10.910.1–11.6 | – | 27.826.8–28.3 |
| 2073 | – | 10.910.2–11.6 | – | 27.727–28.3 |
| 2074 | – | 10.910.2–11.7 | – | 27.726.9–28.3 |
| 2075 | – | 10.810.1–11.6 | – | 27.727–28.2 |
| 2076 | – | 10.810.2–11.6 | – | 27.726.8–28.4 |
| 2077 | – | 10.910.1–11.6 | – | 27.727–28.3 |
| 2078 | – | 10.910.1–11.6 | – | 27.727–28.5 |
| 2079 | – | 10.910.2–11.6 | – | 27.827.1–28.4 |
| 2080 | – | 1110.2–11.8 | – | 27.727.1–28.5 |
| 2081 | – | 10.910.1–11.8 | – | 27.827.1–28.4 |
| 2082 | – | 10.910.2–11.7 | – | 27.827.1–28.4 |
| 2083 | – | 10.910.3–11.8 | – | 27.827.1–28.5 |
| 2084 | – | 10.910.2–11.8 | – | 27.927.3–28.6 |
| 2085 | – | 1110.4–11.9 | – | 27.927.2–28.7 |
| 2086 | – | 11.110.2–11.9 | – | 27.827–28.4 |
| 2087 | – | 10.910.2–11.9 | – | 27.927–28.6 |
| 2088 | – | 1110.3–12.1 | – | 2827–28.7 |
| 2089 | – | 1110.2–12 | – | 27.927.1–28.7 |
| 2090 | – | 1110.3–11.9 | – | 27.927.3–28.7 |
| 2091 | – | 11.110.4–11.9 | – | 2827.2–28.6 |
| 2092 | – | 11.110.4–12 | – | 28.127.2–28.6 |
| 2093 | – | 11.110.3–12.1 | – | 27.927.2–28.6 |
| 2094 | – | 11.110.3–11.9 | – | 27.927.2–28.8 |
| 2095 | – | 11.110.4–12 | – | 2827.1–28.7 |
| 2096 | – | 1110.3–12.1 | – | 27.927.2–28.5 |
| 2097 | – | 1110.2–12 | – | 27.927.3–28.6 |
| 2098 | – | 11.110.3–12.1 | – | 2827.1–28.9 |
| 2099 | – | 11.110.4–12.1 | – | 2827.2–28.8 |
| 2100 | – | 11.110.3–12 | – | 2827.2–28.7 |
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
智利与古巴对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支智利:2025 年为 GDP 的 1.52%古巴:2018 年为 GDP 的 2.88%
- 人均军费开支智利:2025 年为 US$269古巴:2018 年为 US$11
- 武装部队人员智利:2020 年为 114,000 人古巴:2020 年为 76,000 人
- 国家实力智利:2022 年为 0.23%(占全球实力)古巴:2022 年为 0.11%(占全球实力)
- 武装部队占劳动力比例智利:2020 年为 1.28%(占劳动力)古巴:2020 年为 1.54%(占劳动力)
- 武器进口智利:2025 年为 1400万 TIV古巴:2004 年为 800万 TIV
- 武器出口智利:2022 年为 800万 TIV古巴:1980 年为 800万 TIV