南非与南苏丹对比
南非与南苏丹:热带夜
2014 年热带夜:南非为 27.1 夜,南苏丹为 343.7 夜(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 316.6 夜,是南非的 13 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,南苏丹的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年南非为 58.7 夜,南苏丹为 361.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 南非 | 南苏丹 |
|---|---|---|
| 2014 | 27.1 | 343.7 |
| 2013 | 28.3 | 342.1 |
| 2012 | 27.9 | 342.8 |
| 2011 | 26.1 | 343.3 |
| 2010 | 26 | 341.9 |
| 2009 | 25.8 | 338.8 |
| 2008 | 24.8 | 339.8 |
| 2007 | 24.7 | 336.9 |
| 2006 | 25.5 | 339 |
| 2005 | 25.3 | 336.8 |
| 2004 | 25.8 | 336.6 |
| 2003 | 25.1 | 338.9 |
| 2002 | 25 | 336.6 |
| 2001 | 24.5 | 338.7 |
| 2000 | 23.3 | 334.6 |
| 1999 | 23 | 331.8 |
| 1998 | 23.4 | 333.6 |
| 1997 | 22.5 | 334.5 |
| 1996 | 20.4 | 330.7 |
| 1995 | 19.3 | 329.6 |
| 1994 | 20 | 328.2 |
| 1993 | 18.1 | 321.9 |
| 1992 | 18.1 | 321.5 |
| 1991 | 22.3 | 329.1 |
| 1990 | 22.7 | 332.6 |
| 1989 | 22 | 329 |
| 1988 | 21.2 | 330.5 |
| 1987 | 21.9 | 328.8 |
| 1986 | 21 | 330.4 |
| 1985 | 18.9 | 327.1 |
| 1984 | 20 | 324.1 |
| 1983 | 19 | 322.8 |
| 1982 | 20.3 | 322.8 |
| 1981 | 20 | 329.9 |
| 1980 | 21.2 | 326.5 |
| 1979 | 19.9 | 325.3 |
| 1978 | 19.8 | 324.1 |
| 1977 | 19.2 | 325 |
| 1976 | 19.2 | 322.6 |
| 1975 | 18.8 | 320.8 |
| 1974 | 19.7 | 320.1 |
| 1973 | 19.6 | 325.4 |
| 1972 | 19 | 324.7 |
| 1971 | 19.1 | 319.9 |
| 1970 | 18.6 | 322.3 |
| 1969 | 18.7 | 318.5 |
| 1968 | 17.8 | 318.3 |
| 1967 | 17.5 | 315.6 |
| 1966 | 17.8 | 317.2 |
| 1965 | 17.2 | 316.5 |
| 1964 | 14.9 | 312.9 |
| 1963 | 16.5 | 309.8 |
| 1962 | 19.6 | 323.9 |
| 1961 | 19.7 | 323.3 |
| 1960 | 19.8 | 324.8 |
| 1959 | 18.5 | 321.5 |
| 1958 | 19.3 | 320.2 |
| 1957 | 19.4 | 322.1 |
| 1956 | 18 | 319.5 |
| 1955 | 19.5 | 317 |
| 1954 | 18.4 | 322.4 |
| 1953 | 18.4 | 321.6 |
| 1952 | 19.3 | 322.4 |
| 1951 | 18.9 | 323.9 |
| 1950 | 18.1 | 318.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 南非 | 南苏丹 |
|---|---|---|
| 2015 | 28.620–39.5 | 342.7327.5–353.3 |
| 2016 | 26.817.8–37.9 | 342.1325.1–351.1 |
| 2017 | 28.919.6–37.8 | 344.5326.9–353.7 |
| 2018 | 29.620.6–40.6 | 344.1324.9–353.7 |
| 2019 | 29.820.8–41.5 | 344.5324–354.2 |
| 2020 | 29.518.9–39.1 | 344.9326.9–355.6 |
| 2021 | 31.121.4–42.9 | 347.3329.2–355.3 |
| 2022 | 3223.7–43.1 | 344.5326.1–355.5 |
| 2023 | 31.922.9–41.8 | 347.2329.2–357 |
| 2024 | 3324–45.6 | 350.4331.6–357.9 |
| 2025 | 31.920.7–44.5 | 347.1330.2–357.7 |
| 2026 | 34.521.9–46.9 | 347.6329.5–356.7 |
| 2027 | 34.423–47.7 | 346327.1–356.1 |
| 2028 | 33.522.9–46 | 349.4333.5–357.3 |
| 2029 | 36.226.5–48.3 | 348.6337.5–355.6 |
| 2030 | 36.124.9–49 | 349.3335.5–357.2 |
| 2031 | 36.324.5–50.3 | 351.3336.3–357.6 |
| 2032 | 36.424.5–49.2 | 348.6333.6–357.7 |
| 2033 | 36.924.5–48.3 | 350.8336.7–359.4 |
| 2034 | 37.626.4–51.8 | 350.2337.5–358.3 |
| 2035 | 37.625.2–49.5 | 352.3331–359.5 |
| 2036 | 3826.5–50.5 | 352340.8–359.1 |
| 2037 | 39.928.2–53.4 | 351.9337.4–359.5 |
| 2038 | 41.528.4–54.2 | 354.3341.9–359.6 |
| 2039 | 39.227–52.9 | 353.8340.6–360 |
| 2040 | 38.125.6–55.6 | 353.5338.7–360.2 |
| 2041 | 40.227.4–54.3 | 353.2336.9–360.2 |
| 2042 | 4229–56.4 | 351.9336.9–360.3 |
| 2043 | 42.128.2–58.4 | 353.2336.2–359.5 |
| 2044 | 41.929.5–57.8 | 353.7339.9–361.1 |
| 2045 | 42.728.2–59 | 353.7342.2–360.6 |
| 2046 | 44.130–59.5 | 355.4342.2–361 |
| 2047 | 44.630.7–61.2 | 355.7344–361.2 |
| 2048 | 4531.9–61.5 | 354.7342.5–361.6 |
| 2049 | 45.632.3–61.4 | 356.7346.4–361.1 |
| 2050 | 46.931–63.6 | 356.8345.6–361.7 |
| 2051 | 47.532–65 | 356345.4–361.8 |
| 2052 | 48.332.7–64.3 | 355.3343.8–362.2 |
| 2053 | 45.733.7–62.1 | 355.5343.4–361.7 |
| 2054 | 4833.3–64.3 | 356.9345.2–362.1 |
| 2055 | 46.833–68.4 | 356.9345–361.7 |
| 2056 | 47.933.2–64.8 | 356.7345.7–363.1 |
| 2057 | 50.232.6–68.9 | 358.4349.2–362.6 |
| 2058 | 47.934–66.4 | 357.7345–361.8 |
| 2059 | 51.333.1–66.9 | 358.6348.4–362.6 |
| 2060 | 51.936–69.9 | 357.7344.7–363.8 |
| 2061 | 50.534.8–71.3 | 358.2345.8–362.7 |
| 2062 | 50.532.7–71 | 357.4345.2–363.1 |
| 2063 | 50.434.3–69.7 | 358.8347.3–362.6 |
| 2064 | 5134.1–67.7 | 358.9348.4–363.3 |
| 2065 | 50.433.6–70.2 | 359.1351.1–362.9 |
| 2066 | 5335.7–72.4 | 359.2350.6–363.1 |
| 2067 | 50.634.8–70.4 | 358.6347.6–363.3 |
| 2068 | 54.837.8–72.5 | 359.9350.3–364.4 |
| 2069 | 54.339.1–73.4 | 357.6347–363.1 |
| 2070 | 54.337.2–73.3 | 359.5350.4–363 |
| 2071 | 55.837.9–76.9 | 359.6350.5–363.2 |
| 2072 | 5639.4–78.6 | 360.2348.4–364.2 |
| 2073 | 60.443.4–80.3 | 359.3350.3–363.5 |
| 2074 | 57.439.1–75.3 | 359.5348–363.3 |
| 2075 | 56.137.7–76 | 359.9348.5–363.4 |
| 2076 | 58.538.4–75.3 | 359.4350.5–364 |
| 2077 | 57.341–80.5 | 359.9352.2–363.7 |
| 2078 | 5639.5–79 | 360351.2–363.4 |
| 2079 | 57.639.3–78 | 359.8350.9–363.3 |
| 2080 | 59.540.3–80.9 | 361.3349.8–364.6 |
| 2081 | 5841.5–79.6 | 360.4350.5–363.9 |
| 2082 | 58.839.7–77.7 | 360.3351–363.3 |
| 2083 | 60.839.1–82.9 | 360351.1–363.8 |
| 2084 | 62.540.4–82.9 | 360.8350.8–364.9 |
| 2085 | 60.741.3–87.6 | 361352.3–363.7 |
| 2086 | 60.542.1–83.3 | 360.4352.5–364.1 |
| 2087 | 57.941–82.9 | 359.7347.8–363.8 |
| 2088 | 64.243.4–85.3 | 360.3352.2–364.7 |
| 2089 | 61.541.3–81.2 | 360.2352.3–363.8 |
| 2090 | 61.641.5–86.8 | 360.2351.3–363.9 |
| 2091 | 63.341.6–86.3 | 360.9351.6–364.1 |
| 2092 | 63.144.9–84.8 | 360.7352.4–364.7 |
| 2093 | 62.443.2–86.1 | 361.6354.1–363.9 |
| 2094 | 63.145.6–87.4 | 361.3353.8–364.3 |
| 2095 | 65.342.6–91.7 | 361.5353.2–364 |
| 2096 | 6142.7–90.1 | 361.1352.8–365.1 |
| 2097 | 58.841.2–84.6 | 360.7351.9–364.2 |
| 2098 | 65.143.8–89.8 | 361.5352.6–364.1 |
| 2099 | 64.345–87 | 361.2352.4–364.1 |
| 2100 | 58.742–88.2 | 361.1352.6–364.2 |
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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
南非与南苏丹对比
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冲突
军用
- 军费开支南非:2025 年为 GDP 的 0.74%南苏丹:2025 年为 GDP 的 3.43%
- 军费开支(美元)南非:2025 年为 US$30亿南苏丹:2025 年为 US$1.03亿
- 人均军费开支南非:2025 年为 US$49南苏丹:2025 年为 US$15
- 军费占政府支出比例南非:2025 年为 2.2%(占政府支出)南苏丹:2025 年为 18.4%(占政府支出)
- 武装部队人员南非:2020 年为 89,000 人南苏丹:2020 年为 53,000 人
- 国家实力南非:2022 年为 0.55%(占全球实力)南苏丹:2022 年为 0.08%(占全球实力)
- 武装部队占劳动力比例南非:2020 年为 0.4%(占劳动力)南苏丹:2020 年为 1.18%(占劳动力)
- 武器进口南非:2025 年为 3000万 TIV南苏丹:2022 年为 1000万 TIV