古巴与厄瓜多尔对比
古巴与厄瓜多尔:热带夜
2014 年热带夜:古巴为 309.7 夜,厄瓜多尔为 192 夜(CMIP6 气候模型中位数模拟)。 2014 年古巴的数值较高,高出 117.7 夜,是厄瓜多尔的 1.61 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 年古巴为 346 夜,厄瓜多尔为 223.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 古巴 | 厄瓜多尔 |
|---|---|---|
| 2014 | 309.7 | 192 |
| 2013 | 315.2 | 192.7 |
| 2012 | 312 | 195.6 |
| 2011 | 312.1 | 193.5 |
| 2010 | 313 | 191.9 |
| 2009 | 308.8 | 190.7 |
| 2008 | 309.3 | 190.2 |
| 2007 | 308.5 | 188.3 |
| 2006 | 309.9 | 186 |
| 2005 | 309.1 | 187.4 |
| 2004 | 309.3 | 190 |
| 2003 | 304.6 | 188.3 |
| 2002 | 310.4 | 187.2 |
| 2001 | 304.8 | 189 |
| 2000 | 308.1 | 185.3 |
| 1999 | 304.4 | 181.4 |
| 1998 | 304.9 | 182.7 |
| 1997 | 299.8 | 182.4 |
| 1996 | 298 | 176.2 |
| 1995 | 295.1 | 174.9 |
| 1994 | 297.3 | 175.8 |
| 1993 | 294.5 | 170.8 |
| 1992 | 295.7 | 166.2 |
| 1991 | 299.1 | 179.8 |
| 1990 | 302 | 184.5 |
| 1989 | 298.1 | 178.8 |
| 1988 | 298.3 | 173.9 |
| 1987 | 294 | 177.8 |
| 1986 | 293.6 | 177.2 |
| 1985 | 297.4 | 172 |
| 1984 | 289.4 | 172.1 |
| 1983 | 292.2 | 166.8 |
| 1982 | 294 | 170.8 |
| 1981 | 293.6 | 177.4 |
| 1980 | 295.8 | 173.2 |
| 1979 | 295.1 | 172.1 |
| 1978 | 290.9 | 172.3 |
| 1977 | 289.3 | 172 |
| 1976 | 293.4 | 170 |
| 1975 | 289 | 163.9 |
| 1974 | 291.6 | 169.4 |
| 1973 | 291.2 | 173.3 |
| 1972 | 289.4 | 169.5 |
| 1971 | 286.5 | 167.5 |
| 1970 | 283.3 | 169.8 |
| 1969 | 287.2 | 167.4 |
| 1968 | 290.6 | 168.5 |
| 1967 | 289.9 | 159.5 |
| 1966 | 290.7 | 162.2 |
| 1965 | 284.8 | 163.3 |
| 1964 | 287.7 | 161.2 |
| 1963 | 288.9 | 151.1 |
| 1962 | 292.9 | 168.6 |
| 1961 | 292.2 | 169.5 |
| 1960 | 293.3 | 172.4 |
| 1959 | 292.7 | 167.3 |
| 1958 | 291.6 | 170.7 |
| 1957 | 292 | 171.4 |
| 1956 | 294.6 | 164 |
| 1955 | 293.4 | 169 |
| 1954 | 289.5 | 169.5 |
| 1953 | 289.2 | 169.6 |
| 1952 | 290.9 | 170.3 |
| 1951 | 292.1 | 171.7 |
| 1950 | 292.3 | 169.5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 古巴 | 厄瓜多尔 |
|---|---|---|
| 2015 | 315.1292.1–332.6 | 193.3172.3–205.7 |
| 2016 | 317.9302.7–334.8 | 192.7172.2–203.6 |
| 2017 | 317304–329.5 | 195.3178.7–206.8 |
| 2018 | 319.5301–334.2 | 194.8178–206.5 |
| 2019 | 317.6297.3–336.1 | 193.3173.9–207.6 |
| 2020 | 319.5296.6–334.3 | 196.2179.1–208 |
| 2021 | 320.6301.8–335.1 | 198.7183.8–209 |
| 2022 | 318.2303.4–331.8 | 200.5181.4–209.9 |
| 2023 | 322.4302.9–336.9 | 198.3180.6–210.1 |
| 2024 | 320.1297.1–341.5 | 201.5181.4–210.7 |
| 2025 | 319.6297.1–334.8 | 199.9180–212 |
| 2026 | 327.3300.6–343.1 | 200.2180.5–211.7 |
| 2027 | 328.7307.3–344.9 | 199.8181.7–210.8 |
| 2028 | 327.5306.8–343.5 | 203.4187–212.4 |
| 2029 | 326.5309–340.3 | 204.6189.9–213 |
| 2030 | 328.8305–342.3 | 200.4183–212.8 |
| 2031 | 328.6308.6–343.5 | 204.9187.3–214.1 |
| 2032 | 332.1308.4–344.7 | 205.8191.8–216.5 |
| 2033 | 328.3305.5–342.9 | 203.3184.3–213.1 |
| 2034 | 329.4308.9–346.2 | 203.3189.6–218.3 |
| 2035 | 325.7307.3–342.4 | 204.3187.8–214.4 |
| 2036 | 329307–341.7 | 204.8189.9–214.6 |
| 2037 | 332.6311.4–346.9 | 207.9195.6–216.5 |
| 2038 | 331.4313–345.1 | 208.5195.8–216.1 |
| 2039 | 328305.6–345.9 | 206.5190.8–217.1 |
| 2040 | 328.8309–347.6 | 208.7193.7–219.1 |
| 2041 | 331.4307.4–344.3 | 208.8194.8–218.1 |
| 2042 | 331.6309.6–345.1 | 208.6192.5–219.7 |
| 2043 | 332.1311–348.9 | 207.2192.5–217.3 |
| 2044 | 335.1315.6–348.6 | 207190.4–220.2 |
| 2045 | 336.3317.6–348.6 | 209.7196–219 |
| 2046 | 328.7309–349.2 | 213.1196.1–221.1 |
| 2047 | 334.4316.3–350.1 | 211.9198.3–219.3 |
| 2048 | 335.2316.3–349.1 | 214.1200.7–222.9 |
| 2049 | 339.5317–350.8 | 212.8200–221 |
| 2050 | 338.7316.7–350.6 | 211.6197.6–222.2 |
| 2051 | 337.4313.8–349.8 | 213.8197.8–221.4 |
| 2052 | 331311.8–349.4 | 213.3202.2–222.7 |
| 2053 | 339.5314.6–351.2 | 212.5198.8–221.7 |
| 2054 | 338.4322.5–348.7 | 213.5201–224.3 |
| 2055 | 336.9318.7–350.1 | 213.9203–224.9 |
| 2056 | 338.1320.4–351.5 | 215.6199.8–223.9 |
| 2057 | 340.6316.7–351.1 | 214.5198.6–224 |
| 2058 | 340.8322.3–351.7 | 215.1199.9–225.9 |
| 2059 | 334.6319.6–349.6 | 217.2200.1–225.2 |
| 2060 | 340.7320.6–352.9 | 217.1204.7–226.8 |
| 2061 | 337.9324.8–351.5 | 215.6201.9–225.8 |
| 2062 | 340.1323.4–351 | 216.8201.4–226.9 |
| 2063 | 340.9316.3–354.4 | 217202.6–226.3 |
| 2064 | 341315.6–353.1 | 216.7203–225 |
| 2065 | 340.3319.5–352 | 217.7204.7–227 |
| 2066 | 339.5319.3–352.1 | 217.2205.6–227.3 |
| 2067 | 342.1324.2–351.9 | 217.4201.5–226.7 |
| 2068 | 344.3320.4–354.8 | 218.9203.9–228.3 |
| 2069 | 342.8323.8–355.6 | 216.8201.7–228 |
| 2070 | 344.4322.1–356.2 | 216.8204.3–228.3 |
| 2071 | 345326.4–354.8 | 219.5205.5–228.7 |
| 2072 | 345318.5–356.3 | 220208.3–229 |
| 2073 | 343.1321.4–355.1 | 219.5208.1–230.7 |
| 2074 | 342.9325.4–354.5 | 218.4202.8–228 |
| 2075 | 341.8319.7–353.7 | 218.8203.6–227.8 |
| 2076 | 344.9323.6–356.2 | 220.7207.7–229.9 |
| 2077 | 342320.4–351.9 | 220.7206.9–230.5 |
| 2078 | 345324.3–355.7 | 220207.5–231 |
| 2079 | 343.3323.8–356 | 220.4205.4–229.2 |
| 2080 | 344.9328.1–358.4 | 220.2204.8–230.7 |
| 2081 | 342.7326–353.6 | 220.2205.5–230.9 |
| 2082 | 344.9329.8–355.4 | 220.1207.8–229.2 |
| 2083 | 343.8321.8–354.5 | 221.5208.5–232.9 |
| 2084 | 344328.8–356.5 | 222.3207.1–232.6 |
| 2085 | 346.4322.1–356.6 | 222.4208.4–234.3 |
| 2086 | 342.6316.5–352.9 | 219.9207.1–232.4 |
| 2087 | 345.5325.6–356.7 | 220.9206.1–231.9 |
| 2088 | 346.5325.1–358.5 | 221.7206.1–234.8 |
| 2089 | 347.8327.2–357.7 | 221.3206.9–232.8 |
| 2090 | 346.9334.4–356.8 | 221.6208.8–234.3 |
| 2091 | 346.9330.1–357.1 | 223.8207.5–233.5 |
| 2092 | 346.6327–356 | 222.7209.7–234.9 |
| 2093 | 345.4326.9–356.3 | 221.7208.7–235.5 |
| 2094 | 347326.3–357.7 | 223209.9–234.4 |
| 2095 | 343.9329.1–355.1 | 223.9209.9–235.4 |
| 2096 | 344326.6–356.1 | 221.9209.7–237.3 |
| 2097 | 346.7329.2–355.1 | 221.6208.4–232.3 |
| 2098 | 347.2326.3–356.6 | 222.1210.2–238.2 |
| 2099 | 345.5327.5–357.7 | 222.2207.1–234.4 |
| 2100 | 346329.4–356.1 | 223.3209.1–235.3 |
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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
古巴与厄瓜多尔对比
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军用
- 军费开支古巴:2018 年为 GDP 的 2.88%厄瓜多尔:2025 年为 GDP 的 2.1%
- 人均军费开支古巴:2018 年为 US$11厄瓜多尔:2025 年为 US$150
- 武装部队人员古巴:2020 年为 76,000 人厄瓜多尔:2020 年为 42,000 人
- 国家实力古巴:2022 年为 0.11%(占全球实力)厄瓜多尔:2022 年为 0.15%(占全球实力)
- 武装部队占劳动力比例古巴:2020 年为 1.54%(占劳动力)厄瓜多尔:2020 年为 0.54%(占劳动力)
- 武器进口古巴:2004 年为 800万 TIV厄瓜多尔:2025 年为 3000万 TIV
- 武器出口古巴:1980 年为 800万 TIV厄瓜多尔:2018 年为 200万 TIV