智利与洪都拉斯对比
智利与洪都拉斯:热带夜
2014 年热带夜:智利为 0.1 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 176.6 夜,是智利的 2,500 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 年智利为 1 夜,洪都拉斯为 279.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 智利 | 洪都拉斯 |
|---|---|---|
| 2014 | 0.1 | 176.7 |
| 2013 | 0.1 | 181.1 |
| 2012 | 0.1 | 181.4 |
| 2011 | 0 | 180.5 |
| 2010 | 0.1 | 176.9 |
| 2009 | 0.1 | 174.4 |
| 2008 | 0.1 | 170.5 |
| 2007 | 0 | 171.8 |
| 2006 | 0 | 171 |
| 2005 | 0.1 | 171.6 |
| 2004 | 0 | 174.2 |
| 2003 | 0.1 | 170.2 |
| 2002 | 0.1 | 169.1 |
| 2001 | 0.1 | 168.2 |
| 2000 | 0 | 164.8 |
| 1999 | 0 | 162.2 |
| 1998 | 0.1 | 163 |
| 1997 | 0 | 160.4 |
| 1996 | 0 | 154.7 |
| 1995 | 0 | 152.5 |
| 1994 | 0 | 151.9 |
| 1993 | 0 | 149 |
| 1992 | 0 | 145 |
| 1991 | 0 | 156.7 |
| 1990 | 0 | 162.1 |
| 1989 | 0 | 153.8 |
| 1988 | 0 | 151.1 |
| 1987 | 0 | 151.9 |
| 1986 | 0 | 151.3 |
| 1985 | 0 | 146.1 |
| 1984 | 0 | 147.5 |
| 1983 | 0 | 143.7 |
| 1982 | 0 | 148.4 |
| 1981 | 0 | 150.9 |
| 1980 | 0 | 147.8 |
| 1979 | 0 | 148.9 |
| 1978 | 0 | 146 |
| 1977 | 0 | 148.6 |
| 1976 | 0 | 145.5 |
| 1975 | 0 | 141.8 |
| 1974 | 0 | 146.8 |
| 1973 | 0 | 145.1 |
| 1972 | 0 | 140.4 |
| 1971 | 0 | 141.1 |
| 1970 | 0 | 140.6 |
| 1969 | 0 | 142.2 |
| 1968 | 0 | 141.9 |
| 1967 | 0 | 138.4 |
| 1966 | 0 | 139.9 |
| 1965 | 0 | 138.1 |
| 1964 | 0 | 138.4 |
| 1963 | 0 | 136.8 |
| 1962 | 0 | 144.2 |
| 1961 | 0 | 145.5 |
| 1960 | 0 | 146.1 |
| 1959 | 0 | 143.3 |
| 1958 | 0 | 147.6 |
| 1957 | 0 | 144.5 |
| 1956 | 0 | 143.8 |
| 1955 | 0 | 146.3 |
| 1954 | 0 | 144 |
| 1953 | 0 | 143.2 |
| 1952 | 0 | 143.6 |
| 1951 | 0 | 145.5 |
| 1950 | 0 | 143.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 智利 | 洪都拉斯 |
|---|---|---|
| 2015 | 0.10–0.2 | 186.4151.3–215.3 |
| 2016 | 0.10–0.2 | 185.7154.8–211.9 |
| 2017 | 0.10–0.3 | 194.4164.9–215.2 |
| 2018 | 0.10–0.3 | 190.6168.8–218.5 |
| 2019 | 0.10–0.3 | 189161–221 |
| 2020 | 0.10–0.3 | 196.8164.4–223 |
| 2021 | 0.10–0.3 | 199.3176.3–226.8 |
| 2022 | 0.20.1–0.4 | 202.9173–227.6 |
| 2023 | 0.10.1–0.3 | 198.1175.2–230.1 |
| 2024 | 0.10.1–0.3 | 204.7177.9–233.2 |
| 2025 | 0.20–0.4 | 202.7173.9–230.8 |
| 2026 | 0.20–0.5 | 206.8174–235.2 |
| 2027 | 0.20.1–0.4 | 206.5177.9–235.7 |
| 2028 | 0.20.1–0.4 | 211.3184–238.7 |
| 2029 | 0.20.1–0.5 | 210.3185.4–244.5 |
| 2030 | 0.10.1–0.4 | 208.9176.9–241.7 |
| 2031 | 0.20.1–0.6 | 217.3187.1–246.4 |
| 2032 | 0.20.1–0.6 | 218.9194.5–247.9 |
| 2033 | 0.20.1–0.4 | 213.3188.2–239.7 |
| 2034 | 0.20.1–0.5 | 211.3186.1–248.7 |
| 2035 | 0.20.1–0.5 | 215.3184.2–248.2 |
| 2036 | 0.20.1–0.5 | 215.5194.1–242.5 |
| 2037 | 0.30.1–0.7 | 226.4202.4–251.6 |
| 2038 | 0.30.1–0.6 | 228.9198.7–256.2 |
| 2039 | 0.20.1–0.6 | 224.4196.6–256.2 |
| 2040 | 0.30.1–0.6 | 225.1201–258 |
| 2041 | 0.30.1–0.7 | 225.9203–251.8 |
| 2042 | 0.30.1–0.8 | 229.3200.2–262.8 |
| 2043 | 0.30.1–0.7 | 224.4199–262.5 |
| 2044 | 0.30.1–0.7 | 224.8201.2–262.7 |
| 2045 | 0.30.2–0.7 | 231206.1–262.3 |
| 2046 | 0.40.2–0.9 | 236.9204.5–267.7 |
| 2047 | 0.40.2–0.8 | 236.3213.3–269.3 |
| 2048 | 0.40.2–1 | 241.2216.7–268.9 |
| 2049 | 0.40.2–0.9 | 244.8213.5–270.7 |
| 2050 | 0.40.2–0.9 | 241.1207.2–277.8 |
| 2051 | 0.40.2–1 | 239.9210.5–270.2 |
| 2052 | 0.40.2–1 | 245.1215.7–271.2 |
| 2053 | 0.40.2–1 | 240.8211.7–277.5 |
| 2054 | 0.40.2–1.2 | 243.9220.4–286.6 |
| 2055 | 0.40.2–1.4 | 248.1220.1–282.1 |
| 2056 | 0.40.2–1.1 | 245.6213.1–279 |
| 2057 | 0.50.2–1.2 | 249.4214.2–279.1 |
| 2058 | 0.40.2–1.6 | 248.4217.2–289.1 |
| 2059 | 0.50.3–1.5 | 252.6220.5–283.1 |
| 2060 | 0.50.3–1.3 | 256.8225.2–289.4 |
| 2061 | 0.50.2–1.3 | 254.5220.4–285.9 |
| 2062 | 0.40.2–1.4 | 252.8217.4–291.1 |
| 2063 | 0.60.2–1.6 | 258.7226.2–288 |
| 2064 | 0.50.3–1.3 | 252.1224.1–285.7 |
| 2065 | 0.60.3–1.6 | 258.1226.9–288.9 |
| 2066 | 0.60.3–1.5 | 256.4227.7–287.4 |
| 2067 | 0.50.2–1.6 | 258.3228.2–294.9 |
| 2068 | 0.60.3–1.6 | 264.6231.2–295 |
| 2069 | 0.70.3–2 | 258.1229.3–292 |
| 2070 | 0.60.3–1.7 | 256.9225.3–297.9 |
| 2071 | 0.70.3–2 | 261.9231–292.9 |
| 2072 | 0.70.3–1.7 | 267.3235.2–300.4 |
| 2073 | 0.80.4–2.3 | 268.1233.7–304.7 |
| 2074 | 0.70.3–1.8 | 263.7234.2–295.9 |
| 2075 | 0.60.3–1.7 | 262.1229.5–295.4 |
| 2076 | 0.70.3–1.9 | 266.8231.8–298.5 |
| 2077 | 0.70.3–2.2 | 268.6232.1–298.8 |
| 2078 | 0.80.3–2.1 | 270.1236.8–299.6 |
| 2079 | 0.70.3–1.9 | 265.3229.5–304.2 |
| 2080 | 0.80.3–2 | 268.4230.2–304.2 |
| 2081 | 0.80.3–2.1 | 268231.9–300.8 |
| 2082 | 0.70.3–1.9 | 267.4230.2–301.8 |
| 2083 | 0.80.4–2.5 | 268.3236.2–307.4 |
| 2084 | 0.90.4–2.4 | 273.9235.2–307.1 |
| 2085 | 10.4–2.7 | 276.4234.2–305.9 |
| 2086 | 0.90.4–2.6 | 267.9238.8–305.2 |
| 2087 | 0.90.4–2.5 | 270.4233.7–301.8 |
| 2088 | 0.90.4–2.9 | 277239.9–310.2 |
| 2089 | 0.80.4–2.4 | 275.4246–309.8 |
| 2090 | 0.90.4–2.5 | 275.3244.1–307 |
| 2091 | 10.4–2.9 | 281.9240.6–310.6 |
| 2092 | 1.10.5–2.9 | 277.1245.6–312.3 |
| 2093 | 10.4–3.6 | 272.8244.2–311.6 |
| 2094 | 10.4–2.8 | 274.9245.2–308.4 |
| 2095 | 1.10.4–3.2 | 280.8244.6–313.5 |
| 2096 | 10.4–3.4 | 275.2245.8–313.5 |
| 2097 | 10.4–2.5 | 276247.2–305.4 |
| 2098 | 10.5–3.1 | 278.9238.9–313.4 |
| 2099 | 1.10.4–3.2 | 280.8240.6–312.8 |
| 2100 | 10.4–3.2 | 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
智利与洪都拉斯对比
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军用
- 军费开支智利:2025 年为 GDP 的 1.52%洪都拉斯:2025 年为 GDP 的 1.46%
- 军费开支(美元)智利:2025 年为 US$51.5亿洪都拉斯:2025 年为 US$5.82亿
- 人均军费开支智利:2025 年为 US$269洪都拉斯:2025 年为 US$53
- 军费占政府支出比例智利:2025 年为 5.7%(占政府支出)洪都拉斯:2025 年为 5.7%(占政府支出)
- 武装部队人员智利:2020 年为 114,000 人洪都拉斯:2020 年为 23,000 人
- 国家实力智利:2022 年为 0.23%(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智利:2020 年为 1.28%(占劳动力)洪都拉斯:2020 年为 0.56%(占劳动力)
- 武器进口智利:2025 年为 1400万 TIV洪都拉斯:2024 年为 700万 TIV