阿根廷与巴拉圭对比
阿根廷与巴拉圭:35 °C 以上天数
2014 年35 °C 以上天数:阿根廷为 13.5 天,巴拉圭为 60 天(CMIP6 气候模型中位数模拟)。 2014 年巴拉圭的数值较高,高出 46.6 天,是阿根廷的 4.46 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,巴拉圭的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿根廷为 27.2 天,巴拉圭为 120.8 天。
逐年数据
每年天数 · CMIP6
| 年份 | 阿根廷 | 巴拉圭 |
|---|---|---|
| 2014 | 13.5 | 60 |
| 2013 | 13.2 | 56.6 |
| 2012 | 14.1 | 65.2 |
| 2011 | 13.3 | 51.7 |
| 2010 | 13.1 | 57.4 |
| 2009 | 12.6 | 53.4 |
| 2008 | 12.4 | 48.1 |
| 2007 | 11.7 | 45.2 |
| 2006 | 11.3 | 43 |
| 2005 | 11.5 | 47.3 |
| 2004 | 12 | 49.5 |
| 2003 | 11.2 | 50.2 |
| 2002 | 12.7 | 49.2 |
| 2001 | 12.7 | 51.4 |
| 2000 | 10.9 | 46.3 |
| 1999 | 11 | 44.8 |
| 1998 | 11.3 | 47.3 |
| 1997 | 12.8 | 51 |
| 1996 | 11.6 | 46.3 |
| 1995 | 9.6 | 39.7 |
| 1994 | 9.2 | 40.4 |
| 1993 | 9.1 | 40.4 |
| 1992 | 9 | 35.6 |
| 1991 | 9.6 | 37.8 |
| 1990 | 8.8 | 41.4 |
| 1989 | 10.9 | 44.9 |
| 1988 | 10.5 | 43.4 |
| 1987 | 10.5 | 44.3 |
| 1986 | 10.4 | 44.3 |
| 1985 | 10.7 | 40.1 |
| 1984 | 9.6 | 38.2 |
| 1983 | 9.6 | 35.7 |
| 1982 | 9.5 | 40.6 |
| 1981 | 10.9 | 42.5 |
| 1980 | 10.8 | 42.8 |
| 1979 | 11.2 | 45.9 |
| 1978 | 10.6 | 39.2 |
| 1977 | 9.7 | 41.2 |
| 1976 | 10.4 | 37.6 |
| 1975 | 9.5 | 34.9 |
| 1974 | 10.5 | 38.1 |
| 1973 | 9 | 33.8 |
| 1972 | 9.7 | 37.5 |
| 1971 | 9.2 | 34.1 |
| 1970 | 9.9 | 36.7 |
| 1969 | 9.4 | 38 |
| 1968 | 9 | 36.3 |
| 1967 | 8.6 | 33.9 |
| 1966 | 9.9 | 36.3 |
| 1965 | 8.9 | 34.6 |
| 1964 | 7.1 | 30.1 |
| 1963 | 8.8 | 32 |
| 1962 | 11 | 38.7 |
| 1961 | 10.2 | 39.9 |
| 1960 | 11.1 | 38.2 |
| 1959 | 10.5 | 43 |
| 1958 | 9.6 | 37.4 |
| 1957 | 10.7 | 36.6 |
| 1956 | 10.6 | 35.2 |
| 1955 | 9.8 | 40.8 |
| 1954 | 9.6 | 38.7 |
| 1953 | 10.9 | 41.5 |
| 1952 | 10.7 | 42.4 |
| 1951 | 10.5 | 40 |
| 1950 | 9.4 | 35.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 阿根廷 | 巴拉圭 |
|---|---|---|
| 2015 | 14.78.1–22.2 | 6441–89.8 |
| 2016 | 13.66.8–22 | 54.136.3–80.2 |
| 2017 | 14.26.9–22.4 | 57.326.3–88 |
| 2018 | 13.35.6–21.6 | 54.725.5–91.4 |
| 2019 | 14.56.9–23 | 61.538–92.7 |
| 2020 | 15.88.4–24.8 | 70.940.7–105.2 |
| 2021 | 15.38–24.6 | 75.939.5–103.4 |
| 2022 | 13.36.7–22.2 | 64.940–91.1 |
| 2023 | 14.99.3–22.1 | 62.644.4–93.5 |
| 2024 | 15.87.6–24 | 71.447.6–98.9 |
| 2025 | 16.410.2–23.4 | 69.845.6–93.4 |
| 2026 | 189.4–26.5 | 68.446.6–98 |
| 2027 | 16.49.1–26.2 | 76.941.6–111.4 |
| 2028 | 15.67.6–26.5 | 6633–98 |
| 2029 | 15.97.3–26.3 | 7438.5–110.3 |
| 2030 | 16.39.8–27.4 | 67.840.6–116.1 |
| 2031 | 15.88.1–24.9 | 71.742.8–105.9 |
| 2032 | 15.78.9–25.4 | 74.941.9–114.8 |
| 2033 | 16.18.4–25.7 | 75.149.4–110 |
| 2034 | 16.110.4–24.9 | 71.651.1–113.7 |
| 2035 | 16.810.2–27.5 | 77.542.3–109.1 |
| 2036 | 18.310.9–27.9 | 7451.1–108.2 |
| 2037 | 18.310.2–27.3 | 77.255.3–110.7 |
| 2038 | 16.89.1–24.7 | 76.653–103.5 |
| 2039 | 17.39–25.8 | 79.546.3–119.1 |
| 2040 | 18.311.3–28.3 | 81.156.5–118.4 |
| 2041 | 19.310.7–29.3 | 92.863.1–121.8 |
| 2042 | 189.9–27.1 | 81.450.8–111.6 |
| 2043 | 189.5–27.5 | 82.646.3–121.3 |
| 2044 | 19.49.7–30.2 | 84.450.8–126.5 |
| 2045 | 20.511.8–30.1 | 90.958.6–127.2 |
| 2046 | 19.612–28.2 | 90.757.5–121.9 |
| 2047 | 19.78.9–31.3 | 93.351.3–126.4 |
| 2048 | 19.610.8–28.6 | 91.666.1–118.1 |
| 2049 | 20.411.6–30.7 | 100.659.4–129.4 |
| 2050 | 19.910.4–28.4 | 84.457.3–119.8 |
| 2051 | 20.511.5–30.8 | 92.159.2–124.9 |
| 2052 | 21.610.9–33.4 | 10462.9–139.2 |
| 2053 | 20.411.3–30.2 | 87.950.3–117.4 |
| 2054 | 19.712–31.9 | 86.254.2–131.9 |
| 2055 | 21.310.1–34.1 | 89.748–127.2 |
| 2056 | 20.510.5–32.4 | 89.654–143.6 |
| 2057 | 21.711.5–34.7 | 98.366–138.6 |
| 2058 | 21.312.4–33.2 | 101.363.2–138.3 |
| 2059 | 21.612.4–32.7 | 96.564.1–143 |
| 2060 | 2211.2–33.3 | 99.961.1–141.5 |
| 2061 | 2310.8–34.9 | 10058.6–142.1 |
| 2062 | 2212.1–32.7 | 98.572.3–132.2 |
| 2063 | 24.114–33.8 | 110.874.7–142.7 |
| 2064 | 24.115.3–39.2 | 10461.7–149.3 |
| 2065 | 23.712.7–34.9 | 103.360–145.2 |
| 2066 | 24.715.7–35.1 | 10673.5–140.3 |
| 2067 | 24.912.6–37 | 108.270.5–150.3 |
| 2068 | 23.712.3–36.3 | 107.670–157.3 |
| 2069 | 2514–35.5 | 112.568.9–151 |
| 2070 | 24.413.3–37.1 | 105.365.2–150.9 |
| 2071 | 23.913.1–36.8 | 101.758.2–142.3 |
| 2072 | 23.814.5–38.9 | 10877.4–157.9 |
| 2073 | 25.314.6–39.1 | 11281.8–149.4 |
| 2074 | 24.511.6–36.9 | 108.766.3–152.9 |
| 2075 | 25.312.9–38.6 | 106.268.6–147.4 |
| 2076 | 23.713.4–36.3 | 104.871.7–145.8 |
| 2077 | 24.615.3–36.4 | 107.968.1–150.7 |
| 2078 | 26.213.8–39.4 | 114.676.9–159.9 |
| 2079 | 23.913.4–36.8 | 107.265.9–152.2 |
| 2080 | 25.413.8–40.8 | 109.172–162.4 |
| 2081 | 2514.2–38 | 115.377.7–149.9 |
| 2082 | 2413.3–36.3 | 110.770.7–148.6 |
| 2083 | 25.415–39.2 | 109.169.9–149.8 |
| 2084 | 22.512.1–36 | 106.167.1–156.3 |
| 2085 | 23.412.2–36.2 | 105.269–158.2 |
| 2086 | 25.214–39.1 | 114.973.3–161.3 |
| 2087 | 2614.4–37.2 | 121.674.4–158.2 |
| 2088 | 26.214.9–40.2 | 120.789.6–162.9 |
| 2089 | 27.315.3–38.2 | 112.880.5–147.7 |
| 2090 | 27.115.8–41.5 | 121.484.8–172.3 |
| 2091 | 28.315.4–42.5 | 121.181–169.9 |
| 2092 | 29.316–42 | 11985.5–165.6 |
| 2093 | 2615.1–44.6 | 114.878.8–174.5 |
| 2094 | 27.714.9–41 | 113.182.2–160.4 |
| 2095 | 26.713.8–43.1 | 123.873.1–171.1 |
| 2096 | 27.114.5–42.2 | 113.574.2–166.3 |
| 2097 | 2715.3–41.1 | 115.982.3–150.2 |
| 2098 | 26.715.9–42.2 | 117.681.6–168.1 |
| 2099 | 27.615.3–41 | 121.570.9–171.1 |
| 2100 | 27.214.1–45.4 | 120.876.1–182.7 |
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
阿根廷与巴拉圭对比
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军用
- 军费开支阿根廷:2025 年为 GDP 的 0.56%巴拉圭:2025 年为 GDP 的 0.88%
- 军费开支(美元)阿根廷:2025 年为 US$37.3亿巴拉圭:2025 年为 US$4.06亿
- 人均军费开支阿根廷:2025 年为 US$85巴拉圭:2025 年为 US$60
- 军费占政府支出比例阿根廷:2025 年为 1.8%(占政府支出)巴拉圭:2025 年为 4.3%(占政府支出)
- 武装部队人员阿根廷:2020 年为 103,000 人巴拉圭:2020 年为 29,000 人
- 国家实力阿根廷:2022 年为 0.45%(占全球实力)巴拉圭:2022 年为 0.04%(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)巴拉圭:2020 年为 0.88%(占劳动力)
- 武器进口阿根廷:2025 年为 1.08亿 TIV巴拉圭:2025 年为 2400万 TIV