阿根廷与洪都拉斯对比
阿根廷与洪都拉斯:热带夜
2014 年热带夜:阿根廷为 42.6 夜,洪都拉斯为 176.7 夜(CMIP6 气候模型中位数模拟)。 2014 年洪都拉斯的数值较高,高出 134.1 夜,是阿根廷的 4.14 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,洪都拉斯的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿根廷为 65.2 夜,洪都拉斯为 279.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 阿根廷 | 洪都拉斯 |
|---|---|---|
| 2014 | 42.6 | 176.7 |
| 2013 | 41.8 | 181.1 |
| 2012 | 41 | 181.4 |
| 2011 | 41.5 | 180.5 |
| 2010 | 40.8 | 176.9 |
| 2009 | 41.6 | 174.4 |
| 2008 | 41.4 | 170.5 |
| 2007 | 39.6 | 171.8 |
| 2006 | 39.3 | 171 |
| 2005 | 40.1 | 171.6 |
| 2004 | 40.6 | 174.2 |
| 2003 | 38.7 | 170.2 |
| 2002 | 40.2 | 169.1 |
| 2001 | 39.5 | 168.2 |
| 2000 | 39.5 | 164.8 |
| 1999 | 38.4 | 162.2 |
| 1998 | 38.8 | 163 |
| 1997 | 38.5 | 160.4 |
| 1996 | 37 | 154.7 |
| 1995 | 35.7 | 152.5 |
| 1994 | 34.7 | 151.9 |
| 1993 | 34.3 | 149 |
| 1992 | 33.4 | 145 |
| 1991 | 36.8 | 156.7 |
| 1990 | 36 | 162.1 |
| 1989 | 37 | 153.8 |
| 1988 | 36.9 | 151.1 |
| 1987 | 36.1 | 151.9 |
| 1986 | 36.4 | 151.3 |
| 1985 | 36 | 146.1 |
| 1984 | 34.7 | 147.5 |
| 1983 | 35.2 | 143.7 |
| 1982 | 35.7 | 148.4 |
| 1981 | 37.3 | 150.9 |
| 1980 | 36.3 | 147.8 |
| 1979 | 37.5 | 148.9 |
| 1978 | 35.7 | 146 |
| 1977 | 35.1 | 148.6 |
| 1976 | 35.7 | 145.5 |
| 1975 | 34.8 | 141.8 |
| 1974 | 35.4 | 146.8 |
| 1973 | 34.1 | 145.1 |
| 1972 | 35.5 | 140.4 |
| 1971 | 34.7 | 141.1 |
| 1970 | 34.9 | 140.6 |
| 1969 | 33.4 | 142.2 |
| 1968 | 34.6 | 141.9 |
| 1967 | 33 | 138.4 |
| 1966 | 34.3 | 139.9 |
| 1965 | 32.2 | 138.1 |
| 1964 | 30.3 | 138.4 |
| 1963 | 32 | 136.8 |
| 1962 | 35.2 | 144.2 |
| 1961 | 35.6 | 145.5 |
| 1960 | 35.6 | 146.1 |
| 1959 | 34.5 | 143.3 |
| 1958 | 33.3 | 147.6 |
| 1957 | 35.7 | 144.5 |
| 1956 | 35 | 143.8 |
| 1955 | 34.4 | 146.3 |
| 1954 | 33.6 | 144 |
| 1953 | 35.8 | 143.2 |
| 1952 | 34.4 | 143.6 |
| 1951 | 35.4 | 145.5 |
| 1950 | 33.9 | 143.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 阿根廷 | 洪都拉斯 |
|---|---|---|
| 2015 | 44.433.5–53.4 | 186.4151.3–215.3 |
| 2016 | 43.532.4–53.4 | 185.7154.8–211.9 |
| 2017 | 42.834.2–52.6 | 194.4164.9–215.2 |
| 2018 | 42.632.7–52.6 | 190.6168.8–218.5 |
| 2019 | 43.633.4–53.1 | 189161–221 |
| 2020 | 45.735.5–57.2 | 196.8164.4–223 |
| 2021 | 45.634.3–56.4 | 199.3176.3–226.8 |
| 2022 | 44.633.3–56.4 | 202.9173–227.6 |
| 2023 | 44.934.9–53.9 | 198.1175.2–230.1 |
| 2024 | 45.834.2–57.5 | 204.7177.9–233.2 |
| 2025 | 46.536–58.1 | 202.7173.9–230.8 |
| 2026 | 47.936.7–57 | 206.8174–235.2 |
| 2027 | 46.434.5–56.3 | 206.5177.9–235.7 |
| 2028 | 46.133.5–58.5 | 211.3184–238.7 |
| 2029 | 48.336–58.8 | 210.3185.4–244.5 |
| 2030 | 47.835.4–60.3 | 208.9176.9–241.7 |
| 2031 | 46.935.5–58.7 | 217.3187.1–246.4 |
| 2032 | 4837.9–59.7 | 218.9194.5–247.9 |
| 2033 | 47.436.7–57.6 | 213.3188.2–239.7 |
| 2034 | 47.837.8–58.9 | 211.3186.1–248.7 |
| 2035 | 47.339–59 | 215.3184.2–248.2 |
| 2036 | 48.939.2–58.4 | 215.5194.1–242.5 |
| 2037 | 5141.2–60.9 | 226.4202.4–251.6 |
| 2038 | 48.737.9–59.7 | 228.9198.7–256.2 |
| 2039 | 48.839.1–58.4 | 224.4196.6–256.2 |
| 2040 | 50.440.4–62.3 | 225.1201–258 |
| 2041 | 50.740.4–61.7 | 225.9203–251.8 |
| 2042 | 5037.3–61.1 | 229.3200.2–262.8 |
| 2043 | 50.340.5–61 | 224.4199–262.5 |
| 2044 | 5240–65 | 224.8201.2–262.7 |
| 2045 | 52.441.3–65.6 | 231206.1–262.3 |
| 2046 | 51.941.2–62.7 | 236.9204.5–267.7 |
| 2047 | 51.542–64 | 236.3213.3–269.3 |
| 2048 | 54.542.6–65 | 241.2216.7–268.9 |
| 2049 | 53.942.8–64.9 | 244.8213.5–270.7 |
| 2050 | 52.543.6–62.4 | 241.1207.2–277.8 |
| 2051 | 55.743.3–67.4 | 239.9210.5–270.2 |
| 2052 | 55.642.2–67 | 245.1215.7–271.2 |
| 2053 | 55.342.6–67.6 | 240.8211.7–277.5 |
| 2054 | 54.743–66.7 | 243.9220.4–286.6 |
| 2055 | 55.942.3–67.2 | 248.1220.1–282.1 |
| 2056 | 57.642.8–68.6 | 245.6213.1–279 |
| 2057 | 56.842.3–68.7 | 249.4214.2–279.1 |
| 2058 | 54.841.5–68.1 | 248.4217.2–289.1 |
| 2059 | 57.844.9–70.3 | 252.6220.5–283.1 |
| 2060 | 56.943.4–67.9 | 256.8225.2–289.4 |
| 2061 | 56.542.3–70.6 | 254.5220.4–285.9 |
| 2062 | 57.345.8–68.5 | 252.8217.4–291.1 |
| 2063 | 58.244.6–70.2 | 258.7226.2–288 |
| 2064 | 58.845.8–71.5 | 252.1224.1–285.7 |
| 2065 | 58.746–71.1 | 258.1226.9–288.9 |
| 2066 | 59.947–68.9 | 256.4227.7–287.4 |
| 2067 | 58.944.8–71.5 | 258.3228.2–294.9 |
| 2068 | 57.844.3–70.3 | 264.6231.2–295 |
| 2069 | 59.445.4–70.5 | 258.1229.3–292 |
| 2070 | 61.348.2–74.3 | 256.9225.3–297.9 |
| 2071 | 60.148.7–73.2 | 261.9231–292.9 |
| 2072 | 60.146.7–73.7 | 267.3235.2–300.4 |
| 2073 | 60.847.6–73.5 | 268.1233.7–304.7 |
| 2074 | 60.447.6–73.7 | 263.7234.2–295.9 |
| 2075 | 61.347.9–73.9 | 262.1229.5–295.4 |
| 2076 | 61.146.8–75.8 | 266.8231.8–298.5 |
| 2077 | 60.647.1–73.1 | 268.6232.1–298.8 |
| 2078 | 63.449.4–75.6 | 270.1236.8–299.6 |
| 2079 | 59.948.7–73 | 265.3229.5–304.2 |
| 2080 | 6348.1–75.5 | 268.4230.2–304.2 |
| 2081 | 61.448.7–73.5 | 268231.9–300.8 |
| 2082 | 61.747.7–75 | 267.4230.2–301.8 |
| 2083 | 62.148.2–75.6 | 268.3236.2–307.4 |
| 2084 | 62.950.3–76 | 273.9235.2–307.1 |
| 2085 | 6246.9–76.4 | 276.4234.2–305.9 |
| 2086 | 62.749.4–76.4 | 267.9238.8–305.2 |
| 2087 | 61.847.9–74.9 | 270.4233.7–301.8 |
| 2088 | 64.450.8–77.5 | 277239.9–310.2 |
| 2089 | 62.749.3–76.3 | 275.4246–309.8 |
| 2090 | 64.152.5–77.1 | 275.3244.1–307 |
| 2091 | 64.451.7–78.3 | 281.9240.6–310.6 |
| 2092 | 65.650.8–78.3 | 277.1245.6–312.3 |
| 2093 | 62.749.7–76.8 | 272.8244.2–311.6 |
| 2094 | 63.950.1–78.5 | 274.9245.2–308.4 |
| 2095 | 62.948.8–77.9 | 280.8244.6–313.5 |
| 2096 | 64.749.4–78.9 | 275.2245.8–313.5 |
| 2097 | 64.552.4–80.1 | 276247.2–305.4 |
| 2098 | 65.652.7–78.7 | 278.9238.9–313.4 |
| 2099 | 65.249.3–80.2 | 280.8240.6–312.8 |
| 2100 | 65.250–81.7 | 279.1248.3–309.6 |
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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
阿根廷与洪都拉斯对比
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军用
- 军费开支阿根廷:2025 年为 GDP 的 0.56%洪都拉斯:2025 年为 GDP 的 1.46%
- 军费开支(美元)阿根廷:2025 年为 US$37.3亿洪都拉斯:2025 年为 US$5.82亿
- 人均军费开支阿根廷:2025 年为 US$85洪都拉斯:2025 年为 US$53
- 军费占政府支出比例阿根廷:2025 年为 1.8%(占政府支出)洪都拉斯:2025 年为 5.7%(占政府支出)
- 武装部队人员阿根廷:2020 年为 103,000 人洪都拉斯:2020 年为 23,000 人
- 国家实力阿根廷:2022 年为 0.45%(占全球实力)洪都拉斯:2022 年为 0.06%(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)洪都拉斯:2020 年为 0.56%(占劳动力)
- 武器进口阿根廷:2025 年为 1.08亿 TIV洪都拉斯:2024 年为 700万 TIV