阿根廷与乌拉圭对比
阿根廷与乌拉圭:热带夜
2014 年热带夜:阿根廷为 42.6 夜,乌拉圭为 35.9 夜(CMIP6 气候模型中位数模拟)。 2014 年阿根廷的数值较高,高出 6.8 夜,是乌拉圭的 1.19 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,阿根廷的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿根廷为 65.2 夜,乌拉圭为 64.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 阿根廷 | 乌拉圭 |
|---|---|---|
| 2014 | 42.6 | 35.9 |
| 2013 | 41.8 | 35.7 |
| 2012 | 41 | 33.1 |
| 2011 | 41.5 | 32.8 |
| 2010 | 40.8 | 33.5 |
| 2009 | 41.6 | 32.1 |
| 2008 | 41.4 | 32.3 |
| 2007 | 39.6 | 31.9 |
| 2006 | 39.3 | 33 |
| 2005 | 40.1 | 30.5 |
| 2004 | 40.6 | 31.9 |
| 2003 | 38.7 | 28.1 |
| 2002 | 40.2 | 33 |
| 2001 | 39.5 | 31.9 |
| 2000 | 39.5 | 29 |
| 1999 | 38.4 | 29.1 |
| 1998 | 38.8 | 29.7 |
| 1997 | 38.5 | 29.6 |
| 1996 | 37 | 25.5 |
| 1995 | 35.7 | 26.4 |
| 1994 | 34.7 | 25.6 |
| 1993 | 34.3 | 25.4 |
| 1992 | 33.4 | 25.2 |
| 1991 | 36.8 | 27.7 |
| 1990 | 36 | 27.3 |
| 1989 | 37 | 28.7 |
| 1988 | 36.9 | 29.2 |
| 1987 | 36.1 | 27.6 |
| 1986 | 36.4 | 27.5 |
| 1985 | 36 | 26.3 |
| 1984 | 34.7 | 25.2 |
| 1983 | 35.2 | 27.6 |
| 1982 | 35.7 | 27 |
| 1981 | 37.3 | 25.8 |
| 1980 | 36.3 | 28.1 |
| 1979 | 37.5 | 29.8 |
| 1978 | 35.7 | 26 |
| 1977 | 35.1 | 26.6 |
| 1976 | 35.7 | 25.7 |
| 1975 | 34.8 | 26.2 |
| 1974 | 35.4 | 24.6 |
| 1973 | 34.1 | 27.3 |
| 1972 | 35.5 | 25.6 |
| 1971 | 34.7 | 25.9 |
| 1970 | 34.9 | 26.2 |
| 1969 | 33.4 | 24.5 |
| 1968 | 34.6 | 27.4 |
| 1967 | 33 | 25.1 |
| 1966 | 34.3 | 26.5 |
| 1965 | 32.2 | 23.8 |
| 1964 | 30.3 | 19.5 |
| 1963 | 32 | 25.3 |
| 1962 | 35.2 | 27.2 |
| 1961 | 35.6 | 25.9 |
| 1960 | 35.6 | 24.6 |
| 1959 | 34.5 | 25.6 |
| 1958 | 33.3 | 24.2 |
| 1957 | 35.7 | 28.1 |
| 1956 | 35 | 25 |
| 1955 | 34.4 | 26.6 |
| 1954 | 33.6 | 25.9 |
| 1953 | 35.8 | 26.2 |
| 1952 | 34.4 | 24.2 |
| 1951 | 35.4 | 25.6 |
| 1950 | 33.9 | 23.4 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 阿根廷 | 乌拉圭 |
|---|---|---|
| 2015 | 44.433.5–53.4 | 36.420.4–49.2 |
| 2016 | 43.532.4–53.4 | 33.819.4–48.6 |
| 2017 | 42.834.2–52.6 | 3522.7–47.9 |
| 2018 | 42.632.7–52.6 | 34.921.6–53 |
| 2019 | 43.633.4–53.1 | 36.621.1–51.2 |
| 2020 | 45.735.5–57.2 | 4223.6–55.5 |
| 2021 | 45.634.3–56.4 | 40.222.8–56.4 |
| 2022 | 44.633.3–56.4 | 39.622.3–54.9 |
| 2023 | 44.934.9–53.9 | 36.922.3–51.1 |
| 2024 | 45.834.2–57.5 | 38.720.1–54.5 |
| 2025 | 46.536–58.1 | 43.424.1–57.1 |
| 2026 | 47.936.7–57 | 42.629.1–56.5 |
| 2027 | 46.434.5–56.3 | 37.724.1–56 |
| 2028 | 46.133.5–58.5 | 38.123.8–52.3 |
| 2029 | 48.336–58.8 | 44.123.4–60.4 |
| 2030 | 47.835.4–60.3 | 42.120.8–59.5 |
| 2031 | 46.935.5–58.7 | 44.422.6–57.7 |
| 2032 | 4837.9–59.7 | 43.427.7–58.7 |
| 2033 | 47.436.7–57.6 | 41.224.2–55.8 |
| 2034 | 47.837.8–58.9 | 42.426.9–58 |
| 2035 | 47.339–59 | 4229–55.2 |
| 2036 | 48.939.2–58.4 | 42.229.3–58.2 |
| 2037 | 5141.2–60.9 | 48.830.3–65.3 |
| 2038 | 48.737.9–59.7 | 43.425.2–62.5 |
| 2039 | 48.839.1–58.4 | 43.130.3–58.1 |
| 2040 | 50.440.4–62.3 | 44.226.1–61.4 |
| 2041 | 50.740.4–61.7 | 46.129.9–60.2 |
| 2042 | 5037.3–61.1 | 4524.5–60.7 |
| 2043 | 50.340.5–61 | 44.428.5–62.2 |
| 2044 | 5240–65 | 48.828.6–66.6 |
| 2045 | 52.441.3–65.6 | 44.827.3–67.9 |
| 2046 | 51.941.2–62.7 | 47.228.1–65.9 |
| 2047 | 51.542–64 | 46.126.3–62.7 |
| 2048 | 54.542.6–65 | 49.930.4–65.8 |
| 2049 | 53.942.8–64.9 | 48.630.7–64 |
| 2050 | 52.543.6–62.4 | 49.733.6–66.7 |
| 2051 | 55.743.3–67.4 | 52.334.2–70.5 |
| 2052 | 55.642.2–67 | 51.932.1–71.2 |
| 2053 | 55.342.6–67.6 | 55.434–76.3 |
| 2054 | 54.743–66.7 | 51.933.5–71 |
| 2055 | 55.942.3–67.2 | 52.730.5–72.3 |
| 2056 | 57.642.8–68.6 | 56.132.9–79.7 |
| 2057 | 56.842.3–68.7 | 54.723.1–77.2 |
| 2058 | 54.841.5–68.1 | 55.430.4–73.6 |
| 2059 | 57.844.9–70.3 | 58.534.9–76.4 |
| 2060 | 56.943.4–67.9 | 55.728.7–73.5 |
| 2061 | 56.542.3–70.6 | 54.627.3–83.1 |
| 2062 | 57.345.8–68.5 | 57.338.2–76.1 |
| 2063 | 58.244.6–70.2 | 56.433.6–74.4 |
| 2064 | 58.845.8–71.5 | 59.136.7–79.7 |
| 2065 | 58.746–71.1 | 61.732.2–82.1 |
| 2066 | 59.947–68.9 | 60.338.7–76.5 |
| 2067 | 58.944.8–71.5 | 57.634.1–77.6 |
| 2068 | 57.844.3–70.3 | 52.434–72.8 |
| 2069 | 59.445.4–70.5 | 58.737.3–81.2 |
| 2070 | 61.348.2–74.3 | 63.842.9–88.8 |
| 2071 | 60.148.7–73.2 | 60.434.8–82.8 |
| 2072 | 60.146.7–73.7 | 58.137.5–84.5 |
| 2073 | 60.847.6–73.5 | 62.740.3–87.4 |
| 2074 | 60.447.6–73.7 | 6140.6–82.5 |
| 2075 | 61.347.9–73.9 | 61.435.9–85.3 |
| 2076 | 61.146.8–75.8 | 61.235.8–88.1 |
| 2077 | 60.647.1–73.1 | 60.337.5–83 |
| 2078 | 63.449.4–75.6 | 64.141.4–85.6 |
| 2079 | 59.948.7–73 | 59.737–83.5 |
| 2080 | 6348.1–75.5 | 64.639–83.5 |
| 2081 | 61.448.7–73.5 | 6137.3–82 |
| 2082 | 61.747.7–75 | 59.337.4–85.5 |
| 2083 | 62.148.2–75.6 | 61.534.2–87.3 |
| 2084 | 62.950.3–76 | 70.338.3–90.6 |
| 2085 | 6246.9–76.4 | 65.839–91.4 |
| 2086 | 62.749.4–76.4 | 62.240.7–87.4 |
| 2087 | 61.847.9–74.9 | 62.240.4–83.2 |
| 2088 | 64.450.8–77.5 | 65.944.7–85.6 |
| 2089 | 62.749.3–76.3 | 62.444.1–85.1 |
| 2090 | 64.152.5–77.1 | 65.641.3–87.3 |
| 2091 | 64.451.7–78.3 | 64.842.7–93.3 |
| 2092 | 65.650.8–78.3 | 66.242.1–92.5 |
| 2093 | 62.749.7–76.8 | 63.438.7–87.6 |
| 2094 | 63.950.1–78.5 | 66.238.9–86.9 |
| 2095 | 62.948.8–77.9 | 64.136.9–92 |
| 2096 | 64.749.4–78.9 | 65.338.5–94.3 |
| 2097 | 64.552.4–80.1 | 66.845.6–89.3 |
| 2098 | 65.652.7–78.7 | 67.344.2–87.2 |
| 2099 | 65.249.3–80.2 | 67.841.4–88.6 |
| 2100 | 65.250–81.7 | 64.740.9–94.6 |
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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
阿根廷与乌拉圭对比
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人口与社会
经济
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冲突
军用
- 军费开支阿根廷:2025 年为 GDP 的 0.56%乌拉圭:2025 年为 GDP 的 2.28%
- 军费开支(美元)阿根廷:2025 年为 US$37.3亿乌拉圭:2025 年为 US$19.1亿
- 人均军费开支阿根廷:2025 年为 US$85乌拉圭:2025 年为 US$577
- 军费占政府支出比例阿根廷:2025 年为 1.8%(占政府支出)乌拉圭:2025 年为 7.1%(占政府支出)
- 武装部队人员阿根廷:2020 年为 103,000 人乌拉圭:2020 年为 22,000 人
- 国家实力阿根廷:2022 年为 0.45%(占全球实力)乌拉圭: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)乌拉圭:2020 年为 1.32%(占劳动力)
- 武器进口阿根廷:2025 年为 1.08亿 TIV乌拉圭:2025 年为 100万 TIV
- 武器出口阿根廷:2011 年为 100万 TIV乌拉圭:2000 年为 100万 TIV