哥伦比亚与海地对比
哥伦比亚与海地:热带夜
2014 年热带夜:哥伦比亚为 279.9 夜,海地为 298.9 夜(CMIP6 气候模型中位数模拟)。 2014 年海地的数值较高,高出 19 夜,是哥伦比亚的 1.07 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,海地的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年哥伦比亚为 297.4 夜,海地为 346.8 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 哥伦比亚 | 海地 |
|---|---|---|
| 2014 | 279.9 | 298.9 |
| 2013 | 279.8 | 301.1 |
| 2012 | 280.7 | 301.5 |
| 2011 | 280 | 301 |
| 2010 | 279.1 | 298.6 |
| 2009 | 279.3 | 298.7 |
| 2008 | 278.4 | 296.4 |
| 2007 | 277.3 | 293.6 |
| 2006 | 277.5 | 294.2 |
| 2005 | 277.7 | 295.3 |
| 2004 | 278.2 | 298 |
| 2003 | 277.5 | 295.4 |
| 2002 | 277.3 | 295.6 |
| 2001 | 278 | 296 |
| 2000 | 276.2 | 291 |
| 1999 | 274.6 | 290.8 |
| 1998 | 275.2 | 291.4 |
| 1997 | 274.4 | 288 |
| 1996 | 271.2 | 287 |
| 1995 | 271.3 | 283.1 |
| 1994 | 270.4 | 282.6 |
| 1993 | 268 | 278.8 |
| 1992 | 264.7 | 277.7 |
| 1991 | 273.9 | 286.2 |
| 1990 | 275.6 | 291.1 |
| 1989 | 271.9 | 286.3 |
| 1988 | 270.3 | 282.7 |
| 1987 | 271.8 | 282.9 |
| 1986 | 271.4 | 281 |
| 1985 | 268.4 | 277.9 |
| 1984 | 268.2 | 277.7 |
| 1983 | 265.1 | 276.1 |
| 1982 | 269.2 | 280.4 |
| 1981 | 272.1 | 281.3 |
| 1980 | 270.2 | 280.2 |
| 1979 | 269.3 | 280.2 |
| 1978 | 268.3 | 277.8 |
| 1977 | 269.6 | 280.4 |
| 1976 | 266.1 | 276 |
| 1975 | 261.6 | 275.1 |
| 1974 | 266.6 | 278.1 |
| 1973 | 269.9 | 278.3 |
| 1972 | 266.6 | 276.6 |
| 1971 | 265.7 | 275.5 |
| 1970 | 265.4 | 272.2 |
| 1969 | 266 | 275.5 |
| 1968 | 264.6 | 274.5 |
| 1967 | 261.7 | 275 |
| 1966 | 263.7 | 277.8 |
| 1965 | 263.2 | 274.1 |
| 1964 | 260.3 | 274.8 |
| 1963 | 254.8 | 274.2 |
| 1962 | 266.7 | 278.6 |
| 1961 | 267 | 278.2 |
| 1960 | 268.6 | 278.2 |
| 1959 | 265.5 | 278.6 |
| 1958 | 268 | 281.6 |
| 1957 | 267.4 | 278 |
| 1956 | 263.3 | 277.9 |
| 1955 | 267.7 | 280.7 |
| 1954 | 267.2 | 277.6 |
| 1953 | 267.9 | 276.8 |
| 1952 | 268.1 | 279.7 |
| 1951 | 267.2 | 277.9 |
| 1950 | 266.5 | 276.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 哥伦比亚 | 海地 |
|---|---|---|
| 2015 | 280.4265.9–286.4 | 305.5285.9–322.7 |
| 2016 | 279.9267.9–285.6 | 306288.9–319.7 |
| 2017 | 281.7270.6–286.3 | 307.5292–322.8 |
| 2018 | 281.5271.8–286.3 | 308.8294.3–322.5 |
| 2019 | 281.1269.5–286.9 | 307.1290.7–322.4 |
| 2020 | 282.1270.6–287.9 | 307.4293.2–321.3 |
| 2021 | 283.2273.9–287.8 | 311.8296.6–324.5 |
| 2022 | 283.7273.6–288.5 | 312.1298–329.1 |
| 2023 | 282.6274.2–288.8 | 311.6297.9–324.7 |
| 2024 | 284.7274.7–289.8 | 312.3294.2–326.9 |
| 2025 | 283.5273.3–289.7 | 314.6291.3–328.7 |
| 2026 | 283.4272.7–289.7 | 316.3297.5–332.3 |
| 2027 | 283.9273.4–289.2 | 316.4293.9–332.7 |
| 2028 | 285275.1–290.7 | 316.4299.6–334.9 |
| 2029 | 285.8276–290.3 | 316.5298.3–333.6 |
| 2030 | 284.2273.4–289.8 | 314.8301.6–331.6 |
| 2031 | 285.8274.8–291.2 | 317.8303.5–333.7 |
| 2032 | 286.7278.3–292.6 | 321.4303.7–333.1 |
| 2033 | 285.7274.7–290.3 | 319.5302–332.4 |
| 2034 | 285275.8–292.8 | 319.5298.9–337.1 |
| 2035 | 285.9277.3–292 | 322.6304.3–335.1 |
| 2036 | 286276.9–291.6 | 321.3304.1–335.4 |
| 2037 | 287.5279.3–291.9 | 325310.6–336 |
| 2038 | 288279.7–292.4 | 322305.4–338.2 |
| 2039 | 287.6278.8–292.7 | 322.3305.5–339.8 |
| 2040 | 287.6279.3–294.5 | 324.1309.7–338.7 |
| 2041 | 288.2279.9–292.7 | 323.8310.9–339.7 |
| 2042 | 288.2278.3–295 | 325307.1–339.2 |
| 2043 | 287.7277.7–293.4 | 325.4306.3–339.9 |
| 2044 | 287.8278.5–295.1 | 326.8308.2–345.7 |
| 2045 | 288.8280.5–293.9 | 327312.5–341.6 |
| 2046 | 290.4281–295.5 | 330.7312.9–342.1 |
| 2047 | 289.9280.6–294.6 | 327.3313.3–343.2 |
| 2048 | 290.7281.4–296.8 | 331.4313.9–344.2 |
| 2049 | 290.9282–295.3 | 333.3314.4–344.6 |
| 2050 | 290.1280.8–296 | 331.2312.1–348 |
| 2051 | 290.6280.9–295.7 | 331.4314–342.3 |
| 2052 | 290.9281.9–296.7 | 331.5314.8–346 |
| 2053 | 290.5280.8–296.3 | 332.8314.2–342.8 |
| 2054 | 290.8281.3–297.2 | 331.7315.8–348.4 |
| 2055 | 291.1282.6–298 | 331.2317.8–348.8 |
| 2056 | 291.5281.5–298.6 | 330317.4–348.3 |
| 2057 | 291.5281.2–297.3 | 335.7314–347.6 |
| 2058 | 291.8281.7–298.9 | 335.3316.4–350.6 |
| 2059 | 292.8282–299.2 | 336.7319.6–349 |
| 2060 | 293.2283–300.1 | 337.6318.4–350 |
| 2061 | 292.2281.9–298.7 | 336.4318.8–349.6 |
| 2062 | 292.6282.4–299.7 | 336.1317.5–349.7 |
| 2063 | 293.6282.3–298.6 | 338320.8–354 |
| 2064 | 292.7282.9–299.1 | 336.6319.4–350.9 |
| 2065 | 293.8283.6–299.4 | 335.5318.9–349 |
| 2066 | 293.1283.4–299.8 | 338.8321.1–351.7 |
| 2067 | 292.9281.8–299.6 | 337.2317.8–350.8 |
| 2068 | 294.2282.5–300.6 | 340.4321.9–353.8 |
| 2069 | 292.9282.4–300 | 337.2320.2–351.6 |
| 2070 | 292.9282.8–300.8 | 339.5319.8–351.4 |
| 2071 | 294.2282.8–301.5 | 339.8320.1–353.6 |
| 2072 | 294.9285.1–301.9 | 342.6319.9–353.2 |
| 2073 | 294.9285.5–302.2 | 340.9320.2–353.6 |
| 2074 | 293.9283.3–300.3 | 340.9324.7–353.4 |
| 2075 | 294.1283.2–300.6 | 338.8321.7–353.5 |
| 2076 | 294.9284.6–302 | 344.1322–355.4 |
| 2077 | 295.3284.3–301.9 | 340.8321.6–354 |
| 2078 | 294.4285–302 | 340.6325.1–354.5 |
| 2079 | 294.8283.7–301.8 | 341.6323.7–354.4 |
| 2080 | 295.1283.4–302.8 | 340.3322.6–354.3 |
| 2081 | 295.1284.8–302.6 | 340322.6–353.4 |
| 2082 | 295.1284.9–301.3 | 342.4326.5–353.5 |
| 2083 | 295.4284.5–304.6 | 342.2326.4–352.5 |
| 2084 | 296285.1–304.4 | 345.5326.2–354.6 |
| 2085 | 296.6285–305 | 344325–355.4 |
| 2086 | 295.6284.8–303.6 | 344.9326.6–355.1 |
| 2087 | 295.3284.1–303.4 | 342.6322.5–354.4 |
| 2088 | 295.9284.5–305.5 | 342.5328.2–356.1 |
| 2089 | 295.6285–304.5 | 345.8326.6–358 |
| 2090 | 295.7285.8–304.6 | 343.2328.2–355.8 |
| 2091 | 297285–304.9 | 344.7323.1–357.7 |
| 2092 | 296.8286–305.7 | 346.5326.6–356.5 |
| 2093 | 296.3285.6–305.3 | 341.4324.8–356.7 |
| 2094 | 296.4285.8–305 | 341.4327.9–355.8 |
| 2095 | 297.9285.6–304.9 | 345.6326.2–356.1 |
| 2096 | 296285.9–307.5 | 344327.2–358.3 |
| 2097 | 296.5284.8–303.4 | 344.2330–356.7 |
| 2098 | 296.6286–307.3 | 343.8324.3–358.4 |
| 2099 | 297284.6–305.4 | 346.6323.1–358.1 |
| 2100 | 297.4286.5–305.2 | 346.8326.2–356.3 |
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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
哥伦比亚与海地对比
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军用
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- 人均军费开支哥伦比亚:2025 年为 US$273海地:2025 年为 US$3
- 军费占政府支出比例哥伦比亚:2025 年为 9.3%(占政府支出)海地:2025 年为 2.4%(占政府支出)
- 武装部队人员哥伦比亚:2020 年为 428,000 人海地:2020 年为 1,000 人
- 国家实力哥伦比亚:2022 年为 0.57%(占全球实力)海地:2022 年为 0.05%(占全球实力)
- 武装部队占劳动力比例哥伦比亚:2020 年为 1.7%(占劳动力)海地:2020 年为 0.02%(占劳动力)
- 武器进口哥伦比亚:2025 年为 2200万 TIV海地:2025 年为 100万 TIV