加纳与莫桑比克对比
加纳与莫桑比克:热带夜
2014 年热带夜:加纳为 356.8 夜,莫桑比克为 186.3 夜(CMIP6 气候模型中位数模拟)。 2014 年加纳的数值较高,高出 170.5 夜,是莫桑比克的 1.92 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,加纳的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年加纳为 364.2 夜,莫桑比克为 254.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 加纳 | 莫桑比克 |
|---|---|---|
| 2014 | 356.8 | 186.3 |
| 2013 | 355.8 | 186.9 |
| 2012 | 356.8 | 185.2 |
| 2011 | 355.7 | 184.1 |
| 2010 | 355.9 | 182.2 |
| 2009 | 353.2 | 178.2 |
| 2008 | 353.1 | 176.8 |
| 2007 | 353.8 | 178.9 |
| 2006 | 353.9 | 177.4 |
| 2005 | 352.7 | 176.9 |
| 2004 | 352.4 | 181 |
| 2003 | 353.8 | 180 |
| 2002 | 353.2 | 177.1 |
| 2001 | 354.9 | 180.6 |
| 2000 | 352.2 | 173.6 |
| 1999 | 350.2 | 171.5 |
| 1998 | 350.6 | 174.1 |
| 1997 | 350.5 | 169.9 |
| 1996 | 349.1 | 164.7 |
| 1995 | 348.9 | 165.8 |
| 1994 | 347.9 | 163.1 |
| 1993 | 347.1 | 155.5 |
| 1992 | 344.5 | 156 |
| 1991 | 348.4 | 167.5 |
| 1990 | 352.1 | 170.2 |
| 1989 | 347.9 | 164 |
| 1988 | 347.2 | 166.4 |
| 1987 | 346.6 | 166 |
| 1986 | 348.4 | 166.6 |
| 1985 | 347.2 | 159.3 |
| 1984 | 346.2 | 161.1 |
| 1983 | 344.8 | 159.7 |
| 1982 | 344.8 | 160.6 |
| 1981 | 346.8 | 164.5 |
| 1980 | 344.5 | 161.9 |
| 1979 | 346.4 | 162.2 |
| 1978 | 343.9 | 160.2 |
| 1977 | 345.9 | 160.2 |
| 1976 | 344.5 | 157.4 |
| 1975 | 345.3 | 157.7 |
| 1974 | 343 | 159.1 |
| 1973 | 344 | 160.4 |
| 1972 | 344.4 | 157.6 |
| 1971 | 342.7 | 155.6 |
| 1970 | 344 | 159.7 |
| 1969 | 342.5 | 157.8 |
| 1968 | 342 | 153 |
| 1967 | 342.7 | 152.8 |
| 1966 | 342.1 | 152.5 |
| 1965 | 342 | 153.1 |
| 1964 | 340 | 145.9 |
| 1963 | 342.8 | 146.8 |
| 1962 | 345.9 | 158.5 |
| 1961 | 344.1 | 158.8 |
| 1960 | 345.7 | 160.6 |
| 1959 | 344.6 | 159.7 |
| 1958 | 344.6 | 159.5 |
| 1957 | 344.1 | 156.9 |
| 1956 | 343.5 | 153.4 |
| 1955 | 342.5 | 159.6 |
| 1954 | 346.8 | 155.4 |
| 1953 | 344.5 | 156.8 |
| 1952 | 341.9 | 156.6 |
| 1951 | 343.8 | 157.4 |
| 1950 | 340.3 | 156.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 加纳 | 莫桑比克 |
|---|---|---|
| 2015 | 356341.5–361.7 | 191170.1–212.1 |
| 2016 | 356.5341.4–361.5 | 187.6168.6–208.2 |
| 2017 | 355.2341.3–361.6 | 190.1169.4–210.1 |
| 2018 | 355.8345.7–362.1 | 189.8163.6–212.8 |
| 2019 | 353.9343.6–362.3 | 189.7171.9–208.8 |
| 2020 | 356341.7–362.9 | 191.3169–213.8 |
| 2021 | 356.9345.4–362.7 | 193.1172.7–212.9 |
| 2022 | 358.2342–362.6 | 199.9176.3–216.7 |
| 2023 | 356.7344–361.7 | 196.8176.4–217.3 |
| 2024 | 358.6347.7–363.4 | 199.7173.4–222.8 |
| 2025 | 357.1347.2–361.9 | 195.7173–219.1 |
| 2026 | 357.2343.5–362.7 | 197.7172.6–219.3 |
| 2027 | 357.5344.3–362.4 | 199.9177.9–221.8 |
| 2028 | 359.5348.6–363.6 | 202.5181.1–221.1 |
| 2029 | 358.8349–363.1 | 207.6187.3–227.3 |
| 2030 | 359.6350.6–363.2 | 203.6183.2–223.8 |
| 2031 | 360.8351–364 | 207.3188.7–225 |
| 2032 | 359.7346.4–363.9 | 207.4186.7–230.9 |
| 2033 | 360.2349–364.1 | 206.1180.7–226.1 |
| 2034 | 359.4350.8–363.1 | 206.3181.3–227.7 |
| 2035 | 360.5350.8–364 | 208.2184.1–233.6 |
| 2036 | 360.9350.6–364.9 | 208.3183.8–226.4 |
| 2037 | 361350.5–364 | 213.7191.8–234.3 |
| 2038 | 361.4354.4–363.9 | 218.4195.7–240.9 |
| 2039 | 361.3352.3–364.5 | 212.6192.3–233.5 |
| 2040 | 361.5352.2–365.2 | 212.7189–233.9 |
| 2041 | 361.3351.7–364.3 | 213.1187.1–238 |
| 2042 | 360.6352.3–364.3 | 214.9190.4–241.3 |
| 2043 | 360.6351.8–364 | 216196.2–238.9 |
| 2044 | 361.6353.6–364.8 | 220.2196.1–242.1 |
| 2045 | 361.1353.2–364.4 | 217.2198.6–237.6 |
| 2046 | 361.9353.1–364.1 | 224.4200.5–247.6 |
| 2047 | 362.3350.3–364.5 | 224.5201.3–246.3 |
| 2048 | 362.1354.7–365.3 | 225.7205–247.5 |
| 2049 | 362.6354–364.4 | 226.4199.2–247.8 |
| 2050 | 362.2355.3–364.4 | 225.5198.1–246.6 |
| 2051 | 362.3355.7–364.6 | 227.5206.2–248.7 |
| 2052 | 362.1354.2–365 | 230.5208.6–255.2 |
| 2053 | 362.4354.1–364.5 | 226.3200.4–250 |
| 2054 | 362.9354.8–364.6 | 227.8203.9–256.1 |
| 2055 | 362.5355.1–364.5 | 231.5208.3–254.4 |
| 2056 | 363.3355.6–365.7 | 227.8204.6–253.1 |
| 2057 | 363.2355.9–364.8 | 227.6205.7–252.2 |
| 2058 | 363356.3–364.9 | 230.2208.3–251.8 |
| 2059 | 362.9356.2–364.8 | 235.5212.5–261.4 |
| 2060 | 362.9354.1–365.7 | 237.5208.9–257.9 |
| 2061 | 363.2354–364.9 | 232.1204.8–256.1 |
| 2062 | 363.1355–364.9 | 233.2208.6–257.9 |
| 2063 | 363.2355.5–364.9 | 233.3207.3–261.6 |
| 2064 | 363.3356.6–365.6 | 234.6209.3–255.8 |
| 2065 | 363.7357.8–364.9 | 236208.7–261 |
| 2066 | 362.7356.9–364.8 | 239.4213.6–261.8 |
| 2067 | 363.6354.1–364.9 | 235.5205.9–259.4 |
| 2068 | 364.1356.3–365.8 | 237.7211–264.3 |
| 2069 | 362.8356.3–364.9 | 241.1212.2–263.4 |
| 2070 | 363.3356.2–364.9 | 240.7212.1–266 |
| 2071 | 363.5355.3–364.9 | 244.1214.3–272.8 |
| 2072 | 364.1355.6–365.8 | 244.7215.8–267.8 |
| 2073 | 363.6355.1–364.8 | 246214.2–267.6 |
| 2074 | 363.4355.4–364.8 | 242.2219.9–271.1 |
| 2075 | 363.4357–364.9 | 244.4215.6–267.9 |
| 2076 | 363.8358.4–365.8 | 240.8211–264.8 |
| 2077 | 363.8357.8–365 | 241.4214.7–272.4 |
| 2078 | 363.9356.6–364.9 | 245.4220.8–271.1 |
| 2079 | 364.2358–365 | 244.1214.3–276.4 |
| 2080 | 364.3357.8–366 | 246.1221–273.6 |
| 2081 | 363.8357.1–365 | 245.6214.5–268.1 |
| 2082 | 363.5357.1–364.9 | 246.9220.6–268.3 |
| 2083 | 364.1358.3–365 | 247.3217.4–276.4 |
| 2084 | 364358.5–365.9 | 248.5223.3–270.9 |
| 2085 | 364.1358.3–365 | 253.4221.5–277.6 |
| 2086 | 364.1357.8–365 | 242.9216.4–272.3 |
| 2087 | 364.1357.9–365 | 247.4222.8–271.3 |
| 2088 | 364.2356.4–365.9 | 253221.1–274.9 |
| 2089 | 363.9357.6–365 | 251.6221.9–277.3 |
| 2090 | 364.2357.6–365 | 249.9218.6–277.9 |
| 2091 | 363.9357.6–364.9 | 253.2221.4–280.8 |
| 2092 | 364.4356.6–366 | 252.7221.5–279.5 |
| 2093 | 364.4358.2–365 | 256221.7–279.4 |
| 2094 | 364.1357.9–365 | 251.8221–280.3 |
| 2095 | 364358.2–365 | 255.6225.8–278.1 |
| 2096 | 363.9358–366 | 254.7225.8–280.4 |
| 2097 | 363.9356.3–364.9 | 253.2221.8–281.6 |
| 2098 | 363.7357.8–364.9 | 256.1225.2–279.6 |
| 2099 | 363.9358.6–365 | 254.9223.4–278.7 |
| 2100 | 364.2357.6–365 | 254.4226.1–279.1 |
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
加纳与莫桑比克对比
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军用
- 军费开支加纳:2025 年为 GDP 的 0.48%莫桑比克:2025 年为 GDP 的 1.87%
- 军费开支(美元)加纳:2025 年为 US$3.85亿莫桑比克:2025 年为 US$4.46亿
- 人均军费开支加纳:2025 年为 US$15莫桑比克:2025 年为 US$13
- 军费占政府支出比例加纳:2025 年为 2.4%(占政府支出)莫桑比克:2025 年为 6%(占政府支出)
- 武装部队人员加纳:2020 年为 16,000 人莫桑比克:2020 年为 11,000 人
- 国家实力加纳:2022 年为 0.17%(占全球实力)莫桑比克:2022 年为 0.13%(占全球实力)
- 武装部队占劳动力比例加纳:2020 年为 0.13%(占劳动力)莫桑比克:2020 年为 0.08%(占劳动力)
- 武器进口加纳:2025 年为 500万 TIV莫桑比克:2025 年为 1400万 TIV
- 武器出口加纳:2005 年为 1900万 TIV莫桑比克:1977 年为 100万 TIV