阿根廷与坦桑尼亚对比
阿根廷与坦桑尼亚:热带夜
2014 年热带夜:阿根廷为 42.6 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年坦桑尼亚的数值较高,高出 63.7 夜,是阿根廷的 2.49 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,坦桑尼亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿根廷为 65.2 夜,坦桑尼亚为 208 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 阿根廷 | 坦桑尼亚 |
|---|---|---|
| 2014 | 42.6 | 106.3 |
| 2013 | 41.8 | 105.5 |
| 2012 | 41 | 108.4 |
| 2011 | 41.5 | 109 |
| 2010 | 40.8 | 103.9 |
| 2009 | 41.6 | 101.1 |
| 2008 | 41.4 | 100.3 |
| 2007 | 39.6 | 99.5 |
| 2006 | 39.3 | 100.4 |
| 2005 | 40.1 | 98.7 |
| 2004 | 40.6 | 100.4 |
| 2003 | 38.7 | 99.6 |
| 2002 | 40.2 | 98.4 |
| 2001 | 39.5 | 101.5 |
| 2000 | 39.5 | 94.9 |
| 1999 | 38.4 | 94.2 |
| 1998 | 38.8 | 96.8 |
| 1997 | 38.5 | 93.5 |
| 1996 | 37 | 89.6 |
| 1995 | 35.7 | 88.5 |
| 1994 | 34.7 | 85.4 |
| 1993 | 34.3 | 81.2 |
| 1992 | 33.4 | 80.1 |
| 1991 | 36.8 | 89.6 |
| 1990 | 36 | 91.1 |
| 1989 | 37 | 89.1 |
| 1988 | 36.9 | 87.6 |
| 1987 | 36.1 | 88.5 |
| 1986 | 36.4 | 89.4 |
| 1985 | 36 | 83 |
| 1984 | 34.7 | 83.1 |
| 1983 | 35.2 | 82.1 |
| 1982 | 35.7 | 84.8 |
| 1981 | 37.3 | 88 |
| 1980 | 36.3 | 85 |
| 1979 | 37.5 | 85.5 |
| 1978 | 35.7 | 82.9 |
| 1977 | 35.1 | 84.1 |
| 1976 | 35.7 | 81 |
| 1975 | 34.8 | 80.8 |
| 1974 | 35.4 | 82.2 |
| 1973 | 34.1 | 83.6 |
| 1972 | 35.5 | 81.4 |
| 1971 | 34.7 | 80.7 |
| 1970 | 34.9 | 81.8 |
| 1969 | 33.4 | 79.5 |
| 1968 | 34.6 | 79.1 |
| 1967 | 33 | 77.5 |
| 1966 | 34.3 | 78.1 |
| 1965 | 32.2 | 78 |
| 1964 | 30.3 | 73.8 |
| 1963 | 32 | 73.1 |
| 1962 | 35.2 | 81.1 |
| 1961 | 35.6 | 82.6 |
| 1960 | 35.6 | 83.9 |
| 1959 | 34.5 | 81.4 |
| 1958 | 33.3 | 82.1 |
| 1957 | 35.7 | 80.9 |
| 1956 | 35 | 80 |
| 1955 | 34.4 | 81.6 |
| 1954 | 33.6 | 81.4 |
| 1953 | 35.8 | 80.6 |
| 1952 | 34.4 | 81.4 |
| 1951 | 35.4 | 82.1 |
| 1950 | 33.9 | 80.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 阿根廷 | 坦桑尼亚 |
|---|---|---|
| 2015 | 44.433.5–53.4 | 114.895.2–137.4 |
| 2016 | 43.532.4–53.4 | 108.391.6–125.6 |
| 2017 | 42.834.2–52.6 | 114.893.6–137.8 |
| 2018 | 42.632.7–52.6 | 116.497.4–137.1 |
| 2019 | 43.633.4–53.1 | 113.495.2–133.2 |
| 2020 | 45.735.5–57.2 | 119.396.2–143.5 |
| 2021 | 45.634.3–56.4 | 119.5100.9–147.1 |
| 2022 | 44.633.3–56.4 | 124.4105.3–147.4 |
| 2023 | 44.934.9–53.9 | 122.1102.1–147.8 |
| 2024 | 45.834.2–57.5 | 126.2100–150.1 |
| 2025 | 46.536–58.1 | 124.6100.9–154 |
| 2026 | 47.936.7–57 | 126.999.1–155.6 |
| 2027 | 46.434.5–56.3 | 128102.9–147.7 |
| 2028 | 46.133.5–58.5 | 129.9106.4–152.1 |
| 2029 | 48.336–58.8 | 134.1111–156.5 |
| 2030 | 47.835.4–60.3 | 129.4106.4–151.1 |
| 2031 | 46.935.5–58.7 | 136.4115.9–158.4 |
| 2032 | 4837.9–59.7 | 135.1114–166.8 |
| 2033 | 47.436.7–57.6 | 135.2110.9–161.9 |
| 2034 | 47.837.8–58.9 | 134.7112.5–166.3 |
| 2035 | 47.339–59 | 140.2114.6–165 |
| 2036 | 48.939.2–58.4 | 137.8113.3–165.5 |
| 2037 | 5141.2–60.9 | 142.9121.5–168.9 |
| 2038 | 48.737.9–59.7 | 147.9124.3–169.3 |
| 2039 | 48.839.1–58.4 | 144.3117.6–171.3 |
| 2040 | 50.440.4–62.3 | 140.5117–178 |
| 2041 | 50.740.4–61.7 | 149.1121.7–175.6 |
| 2042 | 5037.3–61.1 | 146.3120.5–185.3 |
| 2043 | 50.340.5–61 | 144.6117–173 |
| 2044 | 5240–65 | 147.7121.2–175.8 |
| 2045 | 52.441.3–65.6 | 150.1125.2–183.4 |
| 2046 | 51.941.2–62.7 | 161.5128.6–192.2 |
| 2047 | 51.542–64 | 160.2129.7–194.4 |
| 2048 | 54.542.6–65 | 158.8132.7–193.1 |
| 2049 | 53.942.8–64.9 | 157.6131.1–196 |
| 2050 | 52.543.6–62.4 | 159.7127.8–192 |
| 2051 | 55.743.3–67.4 | 163.2135.5–197.8 |
| 2052 | 55.642.2–67 | 161.9136.2–199.1 |
| 2053 | 55.342.6–67.6 | 160.6127.5–197.7 |
| 2054 | 54.743–66.7 | 163.2131.5–200.2 |
| 2055 | 55.942.3–67.2 | 167.4137–208.3 |
| 2056 | 57.642.8–68.6 | 166.4130.8–209.7 |
| 2057 | 56.842.3–68.7 | 168134.6–208.3 |
| 2058 | 54.841.5–68.1 | 168.7134.9–210.3 |
| 2059 | 57.844.9–70.3 | 174.7144.9–219.5 |
| 2060 | 56.943.4–67.9 | 181.7138.1–219.8 |
| 2061 | 56.542.3–70.6 | 171.8135.5–218.1 |
| 2062 | 57.345.8–68.5 | 177.5139.9–224 |
| 2063 | 58.244.6–70.2 | 181.4140.1–213.8 |
| 2064 | 58.845.8–71.5 | 185.3140.1–215.2 |
| 2065 | 58.746–71.1 | 183.5141.1–221.8 |
| 2066 | 59.947–68.9 | 181.9146.3–219.3 |
| 2067 | 58.944.8–71.5 | 178.8138.8–229.2 |
| 2068 | 57.844.3–70.3 | 186144.2–228.4 |
| 2069 | 59.445.4–70.5 | 183.7141.7–225.3 |
| 2070 | 61.348.2–74.3 | 180.7140.4–228.2 |
| 2071 | 60.148.7–73.2 | 184.9146.9–235.2 |
| 2072 | 60.146.7–73.7 | 191.3155–226.1 |
| 2073 | 60.847.6–73.5 | 191.6152.4–235.6 |
| 2074 | 60.447.6–73.7 | 183.3149.7–231.7 |
| 2075 | 61.347.9–73.9 | 183.8144.8–233 |
| 2076 | 61.146.8–75.8 | 191.1150.9–233.2 |
| 2077 | 60.647.1–73.1 | 191.3152.6–238.2 |
| 2078 | 63.449.4–75.6 | 189156.6–233.8 |
| 2079 | 59.948.7–73 | 190.5147–237.3 |
| 2080 | 6348.1–75.5 | 197.3150.7–241.2 |
| 2081 | 61.448.7–73.5 | 195.6153.4–237.4 |
| 2082 | 61.747.7–75 | 194.5157.3–237.3 |
| 2083 | 62.148.2–75.6 | 193.2151–249.8 |
| 2084 | 62.950.3–76 | 201.1152.2–246.7 |
| 2085 | 6246.9–76.4 | 204.2162.3–252.3 |
| 2086 | 62.749.4–76.4 | 195156–248.7 |
| 2087 | 61.847.9–74.9 | 196.7160.8–244.5 |
| 2088 | 64.450.8–77.5 | 208.4154.7–246.9 |
| 2089 | 62.749.3–76.3 | 201.3158.6–248.2 |
| 2090 | 64.152.5–77.1 | 197.9160.7–253.6 |
| 2091 | 64.451.7–78.3 | 210161.6–256 |
| 2092 | 65.650.8–78.3 | 205.8158.3–253.6 |
| 2093 | 62.749.7–76.8 | 207.2161.2–251.9 |
| 2094 | 63.950.1–78.5 | 207.9161.3–250.6 |
| 2095 | 62.948.8–77.9 | 214.2166.4–258.5 |
| 2096 | 64.749.4–78.9 | 205.3159.8–257.4 |
| 2097 | 64.552.4–80.1 | 206.6158.4–256.8 |
| 2098 | 65.652.7–78.7 | 209.1161–258.3 |
| 2099 | 65.249.3–80.2 | 208.5160.1–256 |
| 2100 | 65.250–81.7 | 208158.6–258.6 |
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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
阿根廷与坦桑尼亚对比
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军用
- 军费开支阿根廷:2025 年为 GDP 的 0.56%坦桑尼亚:2025 年为 GDP 的 1.16%
- 军费开支(美元)阿根廷:2025 年为 US$37.3亿坦桑尼亚:2025 年为 US$9.83亿
- 人均军费开支阿根廷:2025 年为 US$85坦桑尼亚:2025 年为 US$15
- 军费占政府支出比例阿根廷:2025 年为 1.8%(占政府支出)坦桑尼亚:2025 年为 5.8%(占政府支出)
- 武装部队人员阿根廷:2020 年为 103,000 人坦桑尼亚:2020 年为 28,000 人
- 国家实力阿根廷:2022 年为 0.45%(占全球实力)坦桑尼亚:2022 年为 0.25%(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)坦桑尼亚:2020 年为 0.1%(占劳动力)
- 武器进口阿根廷:2025 年为 1.08亿 TIV坦桑尼亚:2025 年为 400万 TIV