阿根廷与墨西哥对比
阿根廷与墨西哥:35 °C 以上天数
2014 年35 °C 以上天数:阿根廷为 13.5 天,墨西哥为 32.8 天(CMIP6 气候模型中位数模拟)。 2014 年墨西哥的数值较高,高出 19.3 天,是阿根廷的 2.44 倍。
每年天数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,墨西哥的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿根廷为 27.2 天,墨西哥为 67.8 天。
逐年数据
每年天数 · CMIP6
| 年份 | 阿根廷 | 墨西哥 |
|---|---|---|
| 2014 | 13.5 | 32.8 |
| 2013 | 13.2 | 31.6 |
| 2012 | 14.1 | 30.4 |
| 2011 | 13.3 | 30.5 |
| 2010 | 13.1 | 31.8 |
| 2009 | 12.6 | 30.6 |
| 2008 | 12.4 | 30.7 |
| 2007 | 11.7 | 29 |
| 2006 | 11.3 | 28.6 |
| 2005 | 11.5 | 29.2 |
| 2004 | 12 | 29.4 |
| 2003 | 11.2 | 27.2 |
| 2002 | 12.7 | 27.8 |
| 2001 | 12.7 | 29.6 |
| 2000 | 10.9 | 27.9 |
| 1999 | 11 | 26.4 |
| 1998 | 11.3 | 27 |
| 1997 | 12.8 | 26.7 |
| 1996 | 11.6 | 25.7 |
| 1995 | 9.6 | 25.1 |
| 1994 | 9.2 | 24.1 |
| 1993 | 9.1 | 21.9 |
| 1992 | 9 | 20.9 |
| 1991 | 9.6 | 26.5 |
| 1990 | 8.8 | 26.5 |
| 1989 | 10.9 | 24 |
| 1988 | 10.5 | 23.9 |
| 1987 | 10.5 | 25.7 |
| 1986 | 10.4 | 24.1 |
| 1985 | 10.7 | 21.9 |
| 1984 | 9.6 | 22 |
| 1983 | 9.6 | 20.7 |
| 1982 | 9.5 | 22.1 |
| 1981 | 10.9 | 23.4 |
| 1980 | 10.8 | 22.5 |
| 1979 | 11.2 | 24 |
| 1978 | 10.6 | 22.5 |
| 1977 | 9.7 | 22.8 |
| 1976 | 10.4 | 22.2 |
| 1975 | 9.5 | 21.3 |
| 1974 | 10.5 | 22.6 |
| 1973 | 9 | 21.7 |
| 1972 | 9.7 | 22.5 |
| 1971 | 9.2 | 21.2 |
| 1970 | 9.9 | 22.3 |
| 1969 | 9.4 | 23.1 |
| 1968 | 9 | 21.7 |
| 1967 | 8.6 | 22.8 |
| 1966 | 9.9 | 21.9 |
| 1965 | 8.9 | 20.3 |
| 1964 | 7.1 | 20.6 |
| 1963 | 8.8 | 22.1 |
| 1962 | 11 | 22.7 |
| 1961 | 10.2 | 23.5 |
| 1960 | 11.1 | 23.2 |
| 1959 | 10.5 | 23.7 |
| 1958 | 9.6 | 22.9 |
| 1957 | 10.7 | 22.3 |
| 1956 | 10.6 | 22.8 |
| 1955 | 9.8 | 23.1 |
| 1954 | 9.6 | 22.1 |
| 1953 | 10.9 | 22.5 |
| 1952 | 10.7 | 21.4 |
| 1951 | 10.5 | 22.1 |
| 1950 | 9.4 | 22.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 阿根廷 | 墨西哥 |
|---|---|---|
| 2015 | 14.78.1–22.2 | 35.225.3–48.5 |
| 2016 | 13.66.8–22 | 33.924.5–44.6 |
| 2017 | 14.26.9–22.4 | 35.424.4–46.9 |
| 2018 | 13.35.6–21.6 | 3625.2–47.9 |
| 2019 | 14.56.9–23 | 36.726–51.6 |
| 2020 | 15.88.4–24.8 | 37.325.8–50.6 |
| 2021 | 15.38–24.6 | 37.726.7–51.1 |
| 2022 | 13.36.7–22.2 | 37.225.5–52 |
| 2023 | 14.99.3–22.1 | 38.426.6–52.5 |
| 2024 | 15.87.6–24 | 42.228.1–55.6 |
| 2025 | 16.410.2–23.4 | 39.627.6–53.3 |
| 2026 | 189.4–26.5 | 39.126.4–51.8 |
| 2027 | 16.49.1–26.2 | 37.926.5–53.6 |
| 2028 | 15.67.6–26.5 | 40.127.8–55.7 |
| 2029 | 15.97.3–26.3 | 41.727.6–56.7 |
| 2030 | 16.39.8–27.4 | 39.325.9–53 |
| 2031 | 15.88.1–24.9 | 4127.8–56.3 |
| 2032 | 15.78.9–25.4 | 42.527.6–55.9 |
| 2033 | 16.18.4–25.7 | 42.530.2–57.1 |
| 2034 | 16.110.4–24.9 | 40.427.8–56.6 |
| 2035 | 16.810.2–27.5 | 40.528.2–56.9 |
| 2036 | 18.310.9–27.9 | 41.428.9–55.3 |
| 2037 | 18.310.2–27.3 | 44.230–59.6 |
| 2038 | 16.89.1–24.7 | 45.130.6–59.7 |
| 2039 | 17.39–25.8 | 4732.9–63.1 |
| 2040 | 18.311.3–28.3 | 46.933.9–61.8 |
| 2041 | 19.310.7–29.3 | 44.530.9–60.8 |
| 2042 | 189.9–27.1 | 48.633.8–64.3 |
| 2043 | 189.5–27.5 | 46.632.5–63.4 |
| 2044 | 19.49.7–30.2 | 47.234.1–63.7 |
| 2045 | 20.511.8–30.1 | 48.333.7–65.3 |
| 2046 | 19.612–28.2 | 5035.6–64.3 |
| 2047 | 19.78.9–31.3 | 51.537.2–67 |
| 2048 | 19.610.8–28.6 | 50.235.3–67.1 |
| 2049 | 20.411.6–30.7 | 52.336.1–69.5 |
| 2050 | 19.910.4–28.4 | 50.234.4–66.5 |
| 2051 | 20.511.5–30.8 | 50.436.9–66.9 |
| 2052 | 21.610.9–33.4 | 5235.5–68.6 |
| 2053 | 20.411.3–30.2 | 5336.9–70.2 |
| 2054 | 19.712–31.9 | 52.835.8–69.3 |
| 2055 | 21.310.1–34.1 | 54.437.3–71.1 |
| 2056 | 20.510.5–32.4 | 52.837.6–69.6 |
| 2057 | 21.711.5–34.7 | 55.937–72 |
| 2058 | 21.312.4–33.2 | 51.536.7–70.5 |
| 2059 | 21.612.4–32.7 | 55.340.6–72.6 |
| 2060 | 2211.2–33.3 | 55.739.5–73.4 |
| 2061 | 2310.8–34.9 | 57.642.1–73.9 |
| 2062 | 2212.1–32.7 | 5535.6–77 |
| 2063 | 24.114–33.8 | 57.641.7–77.2 |
| 2064 | 24.115.3–39.2 | 58.242.8–75 |
| 2065 | 23.712.7–34.9 | 59.540.3–79 |
| 2066 | 24.715.7–35.1 | 57.940.6–76.3 |
| 2067 | 24.912.6–37 | 5841.9–76.7 |
| 2068 | 23.712.3–36.3 | 60.343.2–79.1 |
| 2069 | 2514–35.5 | 58.339.8–80.5 |
| 2070 | 24.413.3–37.1 | 60.239.8–80.8 |
| 2071 | 23.913.1–36.8 | 61.344.6–81.4 |
| 2072 | 23.814.5–38.9 | 63.144–80.9 |
| 2073 | 25.314.6–39.1 | 62.842.3–85.4 |
| 2074 | 24.511.6–36.9 | 6043.5–80.9 |
| 2075 | 25.312.9–38.6 | 60.842.2–80.8 |
| 2076 | 23.713.4–36.3 | 61.242.4–83.6 |
| 2077 | 24.615.3–36.4 | 60.843.2–79.8 |
| 2078 | 26.213.8–39.4 | 64.744.4–86.4 |
| 2079 | 23.913.4–36.8 | 6646.1–87.4 |
| 2080 | 25.413.8–40.8 | 64.744–84.6 |
| 2081 | 2514.2–38 | 64.845.7–84.4 |
| 2082 | 2413.3–36.3 | 63.643.2–82.2 |
| 2083 | 25.415–39.2 | 65.140.9–89.7 |
| 2084 | 22.512.1–36 | 65.446.4–86.3 |
| 2085 | 23.412.2–36.2 | 65.744.8–85.9 |
| 2086 | 25.214–39.1 | 64.644.8–85.1 |
| 2087 | 2614.4–37.2 | 64.644.4–84.2 |
| 2088 | 26.214.9–40.2 | 6545.7–86.5 |
| 2089 | 27.315.3–38.2 | 66.644.2–87.9 |
| 2090 | 27.115.8–41.5 | 66.246–89 |
| 2091 | 28.315.4–42.5 | 6946.6–92.4 |
| 2092 | 29.316–42 | 67.746–86.5 |
| 2093 | 2615.1–44.6 | 66.846.9–91.6 |
| 2094 | 27.714.9–41 | 67.546.7–92.1 |
| 2095 | 26.713.8–43.1 | 70.149.8–93.9 |
| 2096 | 27.114.5–42.2 | 68.547.9–91.7 |
| 2097 | 2715.3–41.1 | 67.346–89.7 |
| 2098 | 26.715.9–42.2 | 71.348.2–95.2 |
| 2099 | 27.615.3–41 | 68.349.1–91.5 |
| 2100 | 27.214.1–45.4 | 67.846.4–88.6 |
分别查看各国
须知
- 一年中最高气温超过 35 °C 的天数,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
阿根廷与墨西哥对比
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军用
- 军费开支阿根廷:2025 年为 GDP 的 0.56%墨西哥:2025 年为 GDP 的 0.74%
- 军费开支(美元)阿根廷:2025 年为 US$37.3亿墨西哥:2025 年为 US$138亿
- 人均军费开支阿根廷:2025 年为 US$85墨西哥:2025 年为 US$104
- 军费占政府支出比例阿根廷:2025 年为 1.8%(占政府支出)墨西哥:2025 年为 2.5%(占政府支出)
- 武装部队人员阿根廷:2020 年为 103,000 人墨西哥:2020 年为 341,000 人
- 国家实力阿根廷:2022 年为 0.45%(占全球实力)墨西哥:2022 年为 1.14%(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)墨西哥:2020 年为 0.64%(占劳动力)
- 武器进口阿根廷:2025 年为 1.08亿 TIV墨西哥:2025 年为 900万 TIV
- 武器出口阿根廷:2011 年为 100万 TIV墨西哥:2019 年为 100万 TIV