智利与古巴对比
智利与古巴:热带夜
2014 年热带夜:智利为 0.1 夜,古巴为 309.7 夜(CMIP6 气候模型中位数模拟)。 2014 年古巴的数值较高,高出 309.6 夜,是智利的 4,400 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,古巴的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年智利为 1 夜,古巴为 346 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 智利 | 古巴 |
|---|---|---|
| 2014 | 0.1 | 309.7 |
| 2013 | 0.1 | 315.2 |
| 2012 | 0.1 | 312 |
| 2011 | 0 | 312.1 |
| 2010 | 0.1 | 313 |
| 2009 | 0.1 | 308.8 |
| 2008 | 0.1 | 309.3 |
| 2007 | 0 | 308.5 |
| 2006 | 0 | 309.9 |
| 2005 | 0.1 | 309.1 |
| 2004 | 0 | 309.3 |
| 2003 | 0.1 | 304.6 |
| 2002 | 0.1 | 310.4 |
| 2001 | 0.1 | 304.8 |
| 2000 | 0 | 308.1 |
| 1999 | 0 | 304.4 |
| 1998 | 0.1 | 304.9 |
| 1997 | 0 | 299.8 |
| 1996 | 0 | 298 |
| 1995 | 0 | 295.1 |
| 1994 | 0 | 297.3 |
| 1993 | 0 | 294.5 |
| 1992 | 0 | 295.7 |
| 1991 | 0 | 299.1 |
| 1990 | 0 | 302 |
| 1989 | 0 | 298.1 |
| 1988 | 0 | 298.3 |
| 1987 | 0 | 294 |
| 1986 | 0 | 293.6 |
| 1985 | 0 | 297.4 |
| 1984 | 0 | 289.4 |
| 1983 | 0 | 292.2 |
| 1982 | 0 | 294 |
| 1981 | 0 | 293.6 |
| 1980 | 0 | 295.8 |
| 1979 | 0 | 295.1 |
| 1978 | 0 | 290.9 |
| 1977 | 0 | 289.3 |
| 1976 | 0 | 293.4 |
| 1975 | 0 | 289 |
| 1974 | 0 | 291.6 |
| 1973 | 0 | 291.2 |
| 1972 | 0 | 289.4 |
| 1971 | 0 | 286.5 |
| 1970 | 0 | 283.3 |
| 1969 | 0 | 287.2 |
| 1968 | 0 | 290.6 |
| 1967 | 0 | 289.9 |
| 1966 | 0 | 290.7 |
| 1965 | 0 | 284.8 |
| 1964 | 0 | 287.7 |
| 1963 | 0 | 288.9 |
| 1962 | 0 | 292.9 |
| 1961 | 0 | 292.2 |
| 1960 | 0 | 293.3 |
| 1959 | 0 | 292.7 |
| 1958 | 0 | 291.6 |
| 1957 | 0 | 292 |
| 1956 | 0 | 294.6 |
| 1955 | 0 | 293.4 |
| 1954 | 0 | 289.5 |
| 1953 | 0 | 289.2 |
| 1952 | 0 | 290.9 |
| 1951 | 0 | 292.1 |
| 1950 | 0 | 292.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 智利 | 古巴 |
|---|---|---|
| 2015 | 0.10–0.2 | 315.1292.1–332.6 |
| 2016 | 0.10–0.2 | 317.9302.7–334.8 |
| 2017 | 0.10–0.3 | 317304–329.5 |
| 2018 | 0.10–0.3 | 319.5301–334.2 |
| 2019 | 0.10–0.3 | 317.6297.3–336.1 |
| 2020 | 0.10–0.3 | 319.5296.6–334.3 |
| 2021 | 0.10–0.3 | 320.6301.8–335.1 |
| 2022 | 0.20.1–0.4 | 318.2303.4–331.8 |
| 2023 | 0.10.1–0.3 | 322.4302.9–336.9 |
| 2024 | 0.10.1–0.3 | 320.1297.1–341.5 |
| 2025 | 0.20–0.4 | 319.6297.1–334.8 |
| 2026 | 0.20–0.5 | 327.3300.6–343.1 |
| 2027 | 0.20.1–0.4 | 328.7307.3–344.9 |
| 2028 | 0.20.1–0.4 | 327.5306.8–343.5 |
| 2029 | 0.20.1–0.5 | 326.5309–340.3 |
| 2030 | 0.10.1–0.4 | 328.8305–342.3 |
| 2031 | 0.20.1–0.6 | 328.6308.6–343.5 |
| 2032 | 0.20.1–0.6 | 332.1308.4–344.7 |
| 2033 | 0.20.1–0.4 | 328.3305.5–342.9 |
| 2034 | 0.20.1–0.5 | 329.4308.9–346.2 |
| 2035 | 0.20.1–0.5 | 325.7307.3–342.4 |
| 2036 | 0.20.1–0.5 | 329307–341.7 |
| 2037 | 0.30.1–0.7 | 332.6311.4–346.9 |
| 2038 | 0.30.1–0.6 | 331.4313–345.1 |
| 2039 | 0.20.1–0.6 | 328305.6–345.9 |
| 2040 | 0.30.1–0.6 | 328.8309–347.6 |
| 2041 | 0.30.1–0.7 | 331.4307.4–344.3 |
| 2042 | 0.30.1–0.8 | 331.6309.6–345.1 |
| 2043 | 0.30.1–0.7 | 332.1311–348.9 |
| 2044 | 0.30.1–0.7 | 335.1315.6–348.6 |
| 2045 | 0.30.2–0.7 | 336.3317.6–348.6 |
| 2046 | 0.40.2–0.9 | 328.7309–349.2 |
| 2047 | 0.40.2–0.8 | 334.4316.3–350.1 |
| 2048 | 0.40.2–1 | 335.2316.3–349.1 |
| 2049 | 0.40.2–0.9 | 339.5317–350.8 |
| 2050 | 0.40.2–0.9 | 338.7316.7–350.6 |
| 2051 | 0.40.2–1 | 337.4313.8–349.8 |
| 2052 | 0.40.2–1 | 331311.8–349.4 |
| 2053 | 0.40.2–1 | 339.5314.6–351.2 |
| 2054 | 0.40.2–1.2 | 338.4322.5–348.7 |
| 2055 | 0.40.2–1.4 | 336.9318.7–350.1 |
| 2056 | 0.40.2–1.1 | 338.1320.4–351.5 |
| 2057 | 0.50.2–1.2 | 340.6316.7–351.1 |
| 2058 | 0.40.2–1.6 | 340.8322.3–351.7 |
| 2059 | 0.50.3–1.5 | 334.6319.6–349.6 |
| 2060 | 0.50.3–1.3 | 340.7320.6–352.9 |
| 2061 | 0.50.2–1.3 | 337.9324.8–351.5 |
| 2062 | 0.40.2–1.4 | 340.1323.4–351 |
| 2063 | 0.60.2–1.6 | 340.9316.3–354.4 |
| 2064 | 0.50.3–1.3 | 341315.6–353.1 |
| 2065 | 0.60.3–1.6 | 340.3319.5–352 |
| 2066 | 0.60.3–1.5 | 339.5319.3–352.1 |
| 2067 | 0.50.2–1.6 | 342.1324.2–351.9 |
| 2068 | 0.60.3–1.6 | 344.3320.4–354.8 |
| 2069 | 0.70.3–2 | 342.8323.8–355.6 |
| 2070 | 0.60.3–1.7 | 344.4322.1–356.2 |
| 2071 | 0.70.3–2 | 345326.4–354.8 |
| 2072 | 0.70.3–1.7 | 345318.5–356.3 |
| 2073 | 0.80.4–2.3 | 343.1321.4–355.1 |
| 2074 | 0.70.3–1.8 | 342.9325.4–354.5 |
| 2075 | 0.60.3–1.7 | 341.8319.7–353.7 |
| 2076 | 0.70.3–1.9 | 344.9323.6–356.2 |
| 2077 | 0.70.3–2.2 | 342320.4–351.9 |
| 2078 | 0.80.3–2.1 | 345324.3–355.7 |
| 2079 | 0.70.3–1.9 | 343.3323.8–356 |
| 2080 | 0.80.3–2 | 344.9328.1–358.4 |
| 2081 | 0.80.3–2.1 | 342.7326–353.6 |
| 2082 | 0.70.3–1.9 | 344.9329.8–355.4 |
| 2083 | 0.80.4–2.5 | 343.8321.8–354.5 |
| 2084 | 0.90.4–2.4 | 344328.8–356.5 |
| 2085 | 10.4–2.7 | 346.4322.1–356.6 |
| 2086 | 0.90.4–2.6 | 342.6316.5–352.9 |
| 2087 | 0.90.4–2.5 | 345.5325.6–356.7 |
| 2088 | 0.90.4–2.9 | 346.5325.1–358.5 |
| 2089 | 0.80.4–2.4 | 347.8327.2–357.7 |
| 2090 | 0.90.4–2.5 | 346.9334.4–356.8 |
| 2091 | 10.4–2.9 | 346.9330.1–357.1 |
| 2092 | 1.10.5–2.9 | 346.6327–356 |
| 2093 | 10.4–3.6 | 345.4326.9–356.3 |
| 2094 | 10.4–2.8 | 347326.3–357.7 |
| 2095 | 1.10.4–3.2 | 343.9329.1–355.1 |
| 2096 | 10.4–3.4 | 344326.6–356.1 |
| 2097 | 10.4–2.5 | 346.7329.2–355.1 |
| 2098 | 10.5–3.1 | 347.2326.3–356.6 |
| 2099 | 1.10.4–3.2 | 345.5327.5–357.7 |
| 2100 | 10.4–3.2 | 346329.4–356.1 |
分别查看各国
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
智利与古巴对比
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军用
- 军费开支智利:2025 年为 GDP 的 1.52%古巴:2018 年为 GDP 的 2.88%
- 人均军费开支智利:2025 年为 US$269古巴:2018 年为 US$11
- 武装部队人员智利:2020 年为 114,000 人古巴:2020 年为 76,000 人
- 国家实力智利:2022 年为 0.23%(占全球实力)古巴:2022 年为 0.11%(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)古巴:2020 年为 1.54%(占劳动力)
- 武器进口智利:2025 年为 1400万 TIV古巴:2004 年为 800万 TIV
- 武器出口智利:2022 年为 800万 TIV古巴:1980 年为 800万 TIV