危地马拉与海地对比
危地马拉与海地:热带夜
2014 年热带夜:危地马拉为 171.5 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 127.4 夜,是危地马拉的 1.74 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 年危地马拉为 230.9 夜,海地为 346.8 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 危地马拉 | 海地 |
|---|---|---|
| 2014 | 171.5 | 298.9 |
| 2013 | 175.4 | 301.1 |
| 2012 | 171.8 | 301.5 |
| 2011 | 173.8 | 301 |
| 2010 | 171.4 | 298.6 |
| 2009 | 169.7 | 298.7 |
| 2008 | 167.8 | 296.4 |
| 2007 | 167.6 | 293.6 |
| 2006 | 167.2 | 294.2 |
| 2005 | 169.2 | 295.3 |
| 2004 | 167.4 | 298 |
| 2003 | 165.8 | 295.4 |
| 2002 | 165.7 | 295.6 |
| 2001 | 165.3 | 296 |
| 2000 | 163.6 | 291 |
| 1999 | 162 | 290.8 |
| 1998 | 162.1 | 291.4 |
| 1997 | 160.7 | 288 |
| 1996 | 157.9 | 287 |
| 1995 | 153.5 | 283.1 |
| 1994 | 155 | 282.6 |
| 1993 | 153.5 | 278.8 |
| 1992 | 151.7 | 277.7 |
| 1991 | 158.2 | 286.2 |
| 1990 | 161.9 | 291.1 |
| 1989 | 157.5 | 286.3 |
| 1988 | 154.2 | 282.7 |
| 1987 | 154.7 | 282.9 |
| 1986 | 153.1 | 281 |
| 1985 | 150.7 | 277.9 |
| 1984 | 150.3 | 277.7 |
| 1983 | 148.1 | 276.1 |
| 1982 | 151.3 | 280.4 |
| 1981 | 156.7 | 281.3 |
| 1980 | 152.3 | 280.2 |
| 1979 | 153 | 280.2 |
| 1978 | 149.5 | 277.8 |
| 1977 | 150.6 | 280.4 |
| 1976 | 151.6 | 276 |
| 1975 | 147.4 | 275.1 |
| 1974 | 150.2 | 278.1 |
| 1973 | 149.6 | 278.3 |
| 1972 | 148.2 | 276.6 |
| 1971 | 145.5 | 275.5 |
| 1970 | 145.4 | 272.2 |
| 1969 | 146.8 | 275.5 |
| 1968 | 146.7 | 274.5 |
| 1967 | 142.7 | 275 |
| 1966 | 145.9 | 277.8 |
| 1965 | 143.3 | 274.1 |
| 1964 | 143 | 274.8 |
| 1963 | 144.6 | 274.2 |
| 1962 | 149.5 | 278.6 |
| 1961 | 149.8 | 278.2 |
| 1960 | 151.4 | 278.2 |
| 1959 | 147.4 | 278.6 |
| 1958 | 150.5 | 281.6 |
| 1957 | 151.1 | 278 |
| 1956 | 148.2 | 277.9 |
| 1955 | 152.5 | 280.7 |
| 1954 | 150.4 | 277.6 |
| 1953 | 149.3 | 276.8 |
| 1952 | 150.3 | 279.7 |
| 1951 | 151.8 | 277.9 |
| 1950 | 148.6 | 276.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 危地马拉 | 海地 |
|---|---|---|
| 2015 | 177158.4–194.6 | 305.5285.9–322.7 |
| 2016 | 178.5161.5–195.5 | 306288.9–319.7 |
| 2017 | 182.8166.6–194.9 | 307.5292–322.8 |
| 2018 | 180.2165–196.4 | 308.8294.3–322.5 |
| 2019 | 181.7159.3–199.5 | 307.1290.7–322.4 |
| 2020 | 184.1161.8–198.6 | 307.4293.2–321.3 |
| 2021 | 184.4168.1–201.1 | 311.8296.6–324.5 |
| 2022 | 184.6165.7–198.4 | 312.1298–329.1 |
| 2023 | 186.3171.1–207 | 311.6297.9–324.7 |
| 2024 | 187.1169.9–207.3 | 312.3294.2–326.9 |
| 2025 | 187.4169.7–205.6 | 314.6291.3–328.7 |
| 2026 | 190.9167.9–211 | 316.3297.5–332.3 |
| 2027 | 188.4171.9–210.9 | 316.4293.9–332.7 |
| 2028 | 191.3175.8–208.5 | 316.4299.6–334.9 |
| 2029 | 192.7175.6–208.8 | 316.5298.3–333.6 |
| 2030 | 191173.3–207.9 | 314.8301.6–331.6 |
| 2031 | 193.6175.3–211.4 | 317.8303.5–333.7 |
| 2032 | 196.4178.7–214.8 | 321.4303.7–333.1 |
| 2033 | 193.3174.6–208.5 | 319.5302–332.4 |
| 2034 | 193.5176.2–214.4 | 319.5298.9–337.1 |
| 2035 | 193.4177.7–212.8 | 322.6304.3–335.1 |
| 2036 | 194.4180.5–212.8 | 321.3304.1–335.4 |
| 2037 | 199.1180–216.2 | 325310.6–336 |
| 2038 | 202.6184.8–216.7 | 322305.4–338.2 |
| 2039 | 199181.6–217.6 | 322.3305.5–339.8 |
| 2040 | 200.3182.9–217.9 | 324.1309.7–338.7 |
| 2041 | 200.7182.1–218.2 | 323.8310.9–339.7 |
| 2042 | 201.6180.3–222.1 | 325307.1–339.2 |
| 2043 | 201.7182.3–226.4 | 325.4306.3–339.9 |
| 2044 | 200.8184.9–222.3 | 326.8308.2–345.7 |
| 2045 | 203.6188.7–225.1 | 327312.5–341.6 |
| 2046 | 204.5183.3–227.5 | 330.7312.9–342.1 |
| 2047 | 207.5190.3–227.5 | 327.3313.3–343.2 |
| 2048 | 208.2188.9–229.4 | 331.4313.9–344.2 |
| 2049 | 210.1188.7–227.4 | 333.3314.4–344.6 |
| 2050 | 211.4188–230.7 | 331.2312.1–348 |
| 2051 | 208.1192.7–229.2 | 331.4314–342.3 |
| 2052 | 207.7193–227.9 | 331.5314.8–346 |
| 2053 | 209.8186.4–233.2 | 332.8314.2–342.8 |
| 2054 | 209.5194.7–233.2 | 331.7315.8–348.4 |
| 2055 | 212.4196.2–231.9 | 331.2317.8–348.8 |
| 2056 | 210.9193.3–233.1 | 330317.4–348.3 |
| 2057 | 213.3193.7–232.4 | 335.7314–347.6 |
| 2058 | 211.7192.3–238.1 | 335.3316.4–350.6 |
| 2059 | 214.5190.4–237.4 | 336.7319.6–349 |
| 2060 | 217.4196.4–237.3 | 337.6318.4–350 |
| 2061 | 213.9193.7–237.1 | 336.4318.8–349.6 |
| 2062 | 216.3194–237.3 | 336.1317.5–349.7 |
| 2063 | 217.2197–240.8 | 338320.8–354 |
| 2064 | 214.5196.1–236.1 | 336.6319.4–350.9 |
| 2065 | 217.3195.2–238.2 | 335.5318.9–349 |
| 2066 | 217.9195.2–240 | 338.8321.1–351.7 |
| 2067 | 216.4194.1–241.1 | 337.2317.8–350.8 |
| 2068 | 221200.2–243.4 | 340.4321.9–353.8 |
| 2069 | 219.9200.5–241.9 | 337.2320.2–351.6 |
| 2070 | 219.6199.9–242.6 | 339.5319.8–351.4 |
| 2071 | 222.5203.4–243 | 339.8320.1–353.6 |
| 2072 | 225.6200.4–247.6 | 342.6319.9–353.2 |
| 2073 | 224.4199.9–248.3 | 340.9320.2–353.6 |
| 2074 | 222.5202.2–245.9 | 340.9324.7–353.4 |
| 2075 | 220.2198.7–242.6 | 338.8321.7–353.5 |
| 2076 | 222.9195.4–247.7 | 344.1322–355.4 |
| 2077 | 225.2198.3–245.9 | 340.8321.6–354 |
| 2078 | 225.4197.8–245.9 | 340.6325.1–354.5 |
| 2079 | 223.4199.3–248.2 | 341.6323.7–354.4 |
| 2080 | 223.4201–250.7 | 340.3322.6–354.3 |
| 2081 | 224202.5–246.6 | 340322.6–353.4 |
| 2082 | 224.8201.3–245.9 | 342.4326.5–353.5 |
| 2083 | 225202.3–250.5 | 342.2326.4–352.5 |
| 2084 | 227.9204.9–249.9 | 345.5326.2–354.6 |
| 2085 | 227.7199.2–251.3 | 344325–355.4 |
| 2086 | 224.9202.3–249.6 | 344.9326.6–355.1 |
| 2087 | 227.1197.8–249.7 | 342.6322.5–354.4 |
| 2088 | 230.6207.4–255.5 | 342.5328.2–356.1 |
| 2089 | 229.7207.4–251.4 | 345.8326.6–358 |
| 2090 | 228.2210–253.4 | 343.2328.2–355.8 |
| 2091 | 231.4206.6–255.4 | 344.7323.1–357.7 |
| 2092 | 230.1207.4–253.4 | 346.5326.6–356.5 |
| 2093 | 226.7206–255.5 | 341.4324.8–356.7 |
| 2094 | 227.3204.4–251.7 | 341.4327.9–355.8 |
| 2095 | 231.1207.7–255.5 | 345.6326.2–356.1 |
| 2096 | 229.9206.3–255.5 | 344327.2–358.3 |
| 2097 | 226.7208.6–249.5 | 344.2330–356.7 |
| 2098 | 231.1202.9–259.1 | 343.8324.3–358.4 |
| 2099 | 230.2203.1–256.5 | 346.6323.1–358.1 |
| 2100 | 230.9208.9–255.1 | 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
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军用
- 军费开支危地马拉:2025 年为 GDP 的 0.52%海地:2025 年为 GDP 的 0.12%
- 军费开支(美元)危地马拉:2025 年为 US$6.17亿海地:2025 年为 US$3040万
- 人均军费开支危地马拉:2025 年为 US$34海地:2025 年为 US$3
- 军费占政府支出比例危地马拉:2025 年为 3.5%(占政府支出)海地:2025 年为 2.4%(占政府支出)
- 武装部队人员危地马拉:2020 年为 43,000 人海地:2020 年为 1,000 人
- 国家实力危地马拉:2022 年为 0.09%(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危地马拉:2020 年为 0.64%(占劳动力)海地:2020 年为 0.02%(占劳动力)
- 武器进口危地马拉:2023 年为 600万 TIV海地:2025 年为 100万 TIV