阿根廷与韩国对比
阿根廷与韩国:热带夜
2014 年热带夜:阿根廷为 42.6 夜,韩国为 68.9 夜(CMIP6 气候模型中位数模拟)。 2014 年韩国的数值较高,高出 26.3 夜,是阿根廷的 1.62 倍。
每年夜数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,韩国的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿根廷为 65.2 夜,韩国为 96.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 阿根廷 | 韩国 |
|---|---|---|
| 2014 | 42.6 | 68.9 |
| 2013 | 41.8 | 69.7 |
| 2012 | 41 | 67.7 |
| 2011 | 41.5 | 65.3 |
| 2010 | 40.8 | 68.3 |
| 2009 | 41.6 | 65.8 |
| 2008 | 41.4 | 63.7 |
| 2007 | 39.6 | 64.2 |
| 2006 | 39.3 | 64.8 |
| 2005 | 40.1 | 65.1 |
| 2004 | 40.6 | 66.8 |
| 2003 | 38.7 | 63.2 |
| 2002 | 40.2 | 63.3 |
| 2001 | 39.5 | 63.4 |
| 2000 | 39.5 | 61.7 |
| 1999 | 38.4 | 64.2 |
| 1998 | 38.8 | 60.7 |
| 1997 | 38.5 | 60.4 |
| 1996 | 37 | 61.2 |
| 1995 | 35.7 | 55.2 |
| 1994 | 34.7 | 54.8 |
| 1993 | 34.3 | 49.2 |
| 1992 | 33.4 | 50.7 |
| 1991 | 36.8 | 56.9 |
| 1990 | 36 | 58.8 |
| 1989 | 37 | 58.7 |
| 1988 | 36.9 | 55.6 |
| 1987 | 36.1 | 52.6 |
| 1986 | 36.4 | 51.4 |
| 1985 | 36 | 53.1 |
| 1984 | 34.7 | 50.4 |
| 1983 | 35.2 | 46.8 |
| 1982 | 35.7 | 54 |
| 1981 | 37.3 | 53.9 |
| 1980 | 36.3 | 51.6 |
| 1979 | 37.5 | 52.6 |
| 1978 | 35.7 | 56.4 |
| 1977 | 35.1 | 51.8 |
| 1976 | 35.7 | 52.8 |
| 1975 | 34.8 | 54.6 |
| 1974 | 35.4 | 52.7 |
| 1973 | 34.1 | 50.4 |
| 1972 | 35.5 | 51.8 |
| 1971 | 34.7 | 49.7 |
| 1970 | 34.9 | 50.4 |
| 1969 | 33.4 | 55.2 |
| 1968 | 34.6 | 51.7 |
| 1967 | 33 | 57.3 |
| 1966 | 34.3 | 52.9 |
| 1965 | 32.2 | 52.8 |
| 1964 | 30.3 | 52.2 |
| 1963 | 32 | 57.9 |
| 1962 | 35.2 | 53.3 |
| 1961 | 35.6 | 58.2 |
| 1960 | 35.6 | 55.2 |
| 1959 | 34.5 | 54.8 |
| 1958 | 33.3 | 56 |
| 1957 | 35.7 | 55.8 |
| 1956 | 35 | 59.1 |
| 1955 | 34.4 | 55.7 |
| 1954 | 33.6 | 54 |
| 1953 | 35.8 | 55.4 |
| 1952 | 34.4 | 57 |
| 1951 | 35.4 | 54.7 |
| 1950 | 33.9 | 59.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 阿根廷 | 韩国 |
|---|---|---|
| 2015 | 44.433.5–53.4 | 68.656.8–82 |
| 2016 | 43.532.4–53.4 | 70.353.5–81.8 |
| 2017 | 42.834.2–52.6 | 70.559.5–82.9 |
| 2018 | 42.632.7–52.6 | 69.156.9–81.2 |
| 2019 | 43.633.4–53.1 | 74.663.1–84.4 |
| 2020 | 45.735.5–57.2 | 7157.6–83 |
| 2021 | 45.634.3–56.4 | 70.252.7–84.1 |
| 2022 | 44.633.3–56.4 | 72.563–81.2 |
| 2023 | 44.934.9–53.9 | 74.563.2–84.2 |
| 2024 | 45.834.2–57.5 | 73.558.6–87.1 |
| 2025 | 46.536–58.1 | 75.762.3–87.1 |
| 2026 | 47.936.7–57 | 7564–88.4 |
| 2027 | 46.434.5–56.3 | 74.163.4–88.9 |
| 2028 | 46.133.5–58.5 | 77.361.5–87.9 |
| 2029 | 48.336–58.8 | 75.463.1–86.7 |
| 2030 | 47.835.4–60.3 | 75.364.5–87.6 |
| 2031 | 46.935.5–58.7 | 76.763.6–87.3 |
| 2032 | 4837.9–59.7 | 76.761–89.2 |
| 2033 | 47.436.7–57.6 | 78.860–92.7 |
| 2034 | 47.837.8–58.9 | 77.264.7–87.2 |
| 2035 | 47.339–59 | 8168.9–92.1 |
| 2036 | 48.939.2–58.4 | 81.964.1–95 |
| 2037 | 5141.2–60.9 | 78.465.8–89.3 |
| 2038 | 48.737.9–59.7 | 78.866.9–89.4 |
| 2039 | 48.839.1–58.4 | 77.564.7–89.2 |
| 2040 | 50.440.4–62.3 | 80.567.4–92.7 |
| 2041 | 50.740.4–61.7 | 80.966.4–97.7 |
| 2042 | 5037.3–61.1 | 82.469.1–95 |
| 2043 | 50.340.5–61 | 83.268.5–97.9 |
| 2044 | 5240–65 | 83.169.3–91.6 |
| 2045 | 52.441.3–65.6 | 8170.4–92.2 |
| 2046 | 51.941.2–62.7 | 8668.3–95.2 |
| 2047 | 51.542–64 | 83.469.7–96.7 |
| 2048 | 54.542.6–65 | 82.769.2–95.2 |
| 2049 | 53.942.8–64.9 | 81.669–96.8 |
| 2050 | 52.543.6–62.4 | 81.569.8–93.8 |
| 2051 | 55.743.3–67.4 | 84.572.7–98.8 |
| 2052 | 55.642.2–67 | 83.167.8–98.5 |
| 2053 | 55.342.6–67.6 | 86.969.8–98.1 |
| 2054 | 54.743–66.7 | 84.773.3–97.5 |
| 2055 | 55.942.3–67.2 | 86.570.8–101.3 |
| 2056 | 57.642.8–68.6 | 85.874.5–99.8 |
| 2057 | 56.842.3–68.7 | 87.976.1–100.7 |
| 2058 | 54.841.5–68.1 | 86.275.2–99.4 |
| 2059 | 57.844.9–70.3 | 86.766.9–100.4 |
| 2060 | 56.943.4–67.9 | 86.371.9–101.9 |
| 2061 | 56.542.3–70.6 | 8974.8–99.5 |
| 2062 | 57.345.8–68.5 | 87.772.3–102.2 |
| 2063 | 58.244.6–70.2 | 86.774.6–101.2 |
| 2064 | 58.845.8–71.5 | 86.673.6–100.3 |
| 2065 | 58.746–71.1 | 91.575.3–102.2 |
| 2066 | 59.947–68.9 | 89.272.6–100.5 |
| 2067 | 58.944.8–71.5 | 90.372.7–102.6 |
| 2068 | 57.844.3–70.3 | 90.473.8–106.4 |
| 2069 | 59.445.4–70.5 | 9174.5–102.5 |
| 2070 | 61.348.2–74.3 | 89.774.6–107 |
| 2071 | 60.148.7–73.2 | 92.674.9–107.9 |
| 2072 | 60.146.7–73.7 | 90.976.6–103.9 |
| 2073 | 60.847.6–73.5 | 91.376.2–104 |
| 2074 | 60.447.6–73.7 | 91.974.6–107 |
| 2075 | 61.347.9–73.9 | 94.576.4–103.7 |
| 2076 | 61.146.8–75.8 | 93.477.5–105.6 |
| 2077 | 60.647.1–73.1 | 95.776.3–107.2 |
| 2078 | 63.449.4–75.6 | 93.576.9–110.5 |
| 2079 | 59.948.7–73 | 91.179.2–105.7 |
| 2080 | 6348.1–75.5 | 92.481.7–107.1 |
| 2081 | 61.448.7–73.5 | 93.878–108.8 |
| 2082 | 61.747.7–75 | 96.279.9–110.1 |
| 2083 | 62.148.2–75.6 | 94.481.1–108 |
| 2084 | 62.950.3–76 | 91.574.4–107.3 |
| 2085 | 6246.9–76.4 | 9481.4–107.4 |
| 2086 | 62.749.4–76.4 | 93.678.5–111.5 |
| 2087 | 61.847.9–74.9 | 94.480.9–113.5 |
| 2088 | 64.450.8–77.5 | 93.779.8–108.5 |
| 2089 | 62.749.3–76.3 | 94.478.9–107 |
| 2090 | 64.152.5–77.1 | 97.979.5–109 |
| 2091 | 64.451.7–78.3 | 95.280.6–107.7 |
| 2092 | 65.650.8–78.3 | 9580–106.3 |
| 2093 | 62.749.7–76.8 | 95.379.5–109.9 |
| 2094 | 63.950.1–78.5 | 92.279.8–111 |
| 2095 | 62.948.8–77.9 | 94.884–112.2 |
| 2096 | 64.749.4–78.9 | 100.481–113.2 |
| 2097 | 64.552.4–80.1 | 97.278.6–108.8 |
| 2098 | 65.652.7–78.7 | 97.479.9–110.4 |
| 2099 | 65.249.3–80.2 | 95.879.9–109.3 |
| 2100 | 65.250–81.7 | 96.381.6–113.8 |
分别查看各国
须知
- 一年中气温始终高于 20 °C 的夜晚数,取全国平均。
- 来源:World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
- 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。
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
阿根廷与韩国对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支阿根廷:2025 年为 GDP 的 0.56%韩国:2025 年为 GDP 的 2.6%
- 军费开支(美元)阿根廷:2025 年为 US$37.3亿韩国:2025 年为 US$489亿
- 人均军费开支阿根廷:2025 年为 US$85韩国:2025 年为 US$924
- 军费占政府支出比例阿根廷:2025 年为 1.8%(占政府支出)韩国:2025 年为 10.8%(占政府支出)
- 武装部队人员阿根廷:2020 年为 103,000 人韩国:2020 年为 569,000 人
- 国家实力阿根廷:2022 年为 0.45%(占全球实力)韩国:2022 年为 2%(占全球实力)
- 武装部队占劳动力比例阿根廷:2020 年为 0.53%(占劳动力)韩国:2020 年为 2.01%(占劳动力)
- 武器进口阿根廷:2025 年为 1.08亿 TIV韩国:2025 年为 2.22亿 TIV
- 武器出口阿根廷:2011 年为 100万 TIV韩国:2025 年为 20.2亿 TIV