南苏丹与津巴布韦对比
南苏丹与津巴布韦:热带夜
2014 年热带夜:南苏丹为 343.7 夜,津巴布韦为 76.4 夜(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 267.3 夜,是津巴布韦的 4.5 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 年南苏丹为 361.1 夜,津巴布韦为 148.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 南苏丹 | 津巴布韦 |
|---|---|---|
| 2014 | 343.7 | 76.4 |
| 2013 | 342.1 | 78.4 |
| 2012 | 342.8 | 75.9 |
| 2011 | 343.3 | 73.3 |
| 2010 | 341.9 | 71.5 |
| 2009 | 338.8 | 69.6 |
| 2008 | 339.8 | 69.8 |
| 2007 | 336.9 | 69.3 |
| 2006 | 339 | 70.3 |
| 2005 | 336.8 | 69.5 |
| 2004 | 336.6 | 71.8 |
| 2003 | 338.9 | 72.9 |
| 2002 | 336.6 | 71.3 |
| 2001 | 338.7 | 71.3 |
| 2000 | 334.6 | 67.4 |
| 1999 | 331.8 | 62.3 |
| 1998 | 333.6 | 66.3 |
| 1997 | 334.5 | 62 |
| 1996 | 330.7 | 57.7 |
| 1995 | 329.6 | 58.9 |
| 1994 | 328.2 | 56.8 |
| 1993 | 321.9 | 50.1 |
| 1992 | 321.5 | 52.1 |
| 1991 | 329.1 | 58.7 |
| 1990 | 332.6 | 61.5 |
| 1989 | 329 | 60.4 |
| 1988 | 330.5 | 61.6 |
| 1987 | 328.8 | 57.3 |
| 1986 | 330.4 | 58.6 |
| 1985 | 327.1 | 54.1 |
| 1984 | 324.1 | 54.6 |
| 1983 | 322.8 | 53.3 |
| 1982 | 322.8 | 53.7 |
| 1981 | 329.9 | 57 |
| 1980 | 326.5 | 57.3 |
| 1979 | 325.3 | 56.2 |
| 1978 | 324.1 | 53.1 |
| 1977 | 325 | 55.2 |
| 1976 | 322.6 | 51.2 |
| 1975 | 320.8 | 53.6 |
| 1974 | 320.1 | 54.2 |
| 1973 | 325.4 | 53.9 |
| 1972 | 324.7 | 53.2 |
| 1971 | 319.9 | 51.1 |
| 1970 | 322.3 | 53.1 |
| 1969 | 318.5 | 53.3 |
| 1968 | 318.3 | 48.7 |
| 1967 | 315.6 | 48.7 |
| 1966 | 317.2 | 48.8 |
| 1965 | 316.5 | 48.6 |
| 1964 | 312.9 | 44.6 |
| 1963 | 309.8 | 47.4 |
| 1962 | 323.9 | 55.8 |
| 1961 | 323.3 | 51.6 |
| 1960 | 324.8 | 55.6 |
| 1959 | 321.5 | 53.6 |
| 1958 | 320.2 | 55.3 |
| 1957 | 322.1 | 53.2 |
| 1956 | 319.5 | 48.6 |
| 1955 | 317 | 54.4 |
| 1954 | 322.4 | 53 |
| 1953 | 321.6 | 51.8 |
| 1952 | 322.4 | 52.7 |
| 1951 | 323.9 | 52.3 |
| 1950 | 318.6 | 51.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 南苏丹 | 津巴布韦 |
|---|---|---|
| 2015 | 342.7327.5–353.3 | 79.463.5–98.5 |
| 2016 | 342.1325.1–351.1 | 78.657.9–101.7 |
| 2017 | 344.5326.9–353.7 | 81.263.3–98.5 |
| 2018 | 344.1324.9–353.7 | 82.160.5–104.1 |
| 2019 | 344.5324–354.2 | 82.863.9–102.3 |
| 2020 | 344.9326.9–355.6 | 84.362.9–106.9 |
| 2021 | 347.3329.2–355.3 | 82.564.7–102.7 |
| 2022 | 344.5326.1–355.5 | 89.870.1–108.8 |
| 2023 | 347.2329.2–357 | 90.672.5–110.7 |
| 2024 | 350.4331.6–357.9 | 93.769.8–113.4 |
| 2025 | 347.1330.2–357.7 | 8865.1–114.6 |
| 2026 | 347.6329.5–356.7 | 89.767.8–113.9 |
| 2027 | 346327.1–356.1 | 95.668.4–119.6 |
| 2028 | 349.4333.5–357.3 | 93.371.4–115.7 |
| 2029 | 348.6337.5–355.6 | 100.277.2–120 |
| 2030 | 349.3335.5–357.2 | 9671.6–115.3 |
| 2031 | 351.3336.3–357.6 | 9874.9–119.8 |
| 2032 | 348.6333.6–357.7 | 98.574.7–118.5 |
| 2033 | 350.8336.7–359.4 | 98.974–120.6 |
| 2034 | 350.2337.5–358.3 | 100.277.3–128.1 |
| 2035 | 352.3331–359.5 | 103.975.7–130.6 |
| 2036 | 352340.8–359.1 | 100.878–123 |
| 2037 | 351.9337.4–359.5 | 10882.1–131.1 |
| 2038 | 354.3341.9–359.6 | 110.986.5–135 |
| 2039 | 353.8340.6–360 | 102.480.4–122.3 |
| 2040 | 353.5338.7–360.2 | 101.379.5–133.5 |
| 2041 | 353.2336.9–360.2 | 108.483.7–134.2 |
| 2042 | 351.9336.9–360.3 | 108.883.1–139.9 |
| 2043 | 353.2336.2–359.5 | 107.985.7–137.3 |
| 2044 | 353.7339.9–361.1 | 111.287–134.8 |
| 2045 | 353.7342.2–360.6 | 106.186.2–130.7 |
| 2046 | 355.4342.2–361 | 112.386.4–139.1 |
| 2047 | 355.7344–361.2 | 119.692.1–145.9 |
| 2048 | 354.7342.5–361.6 | 116.888.4–143.9 |
| 2049 | 356.7346.4–361.1 | 119.290.4–146.2 |
| 2050 | 356.8345.6–361.7 | 122.794.1–148.6 |
| 2051 | 356345.4–361.8 | 122.4100.9–147.7 |
| 2052 | 355.3343.8–362.2 | 124.2101.3–152.8 |
| 2053 | 355.5343.4–361.7 | 121.689–146.9 |
| 2054 | 356.9345.2–362.1 | 123.993.9–150.8 |
| 2055 | 356.9345–361.7 | 126.597.9–153.7 |
| 2056 | 356.7345.7–363.1 | 126.198–154.7 |
| 2057 | 358.4349.2–362.6 | 122.797.6–150.7 |
| 2058 | 357.7345–361.8 | 125.3103–154.1 |
| 2059 | 358.6348.4–362.6 | 132.2107.4–157.4 |
| 2060 | 357.7344.7–363.8 | 132.599.9–159 |
| 2061 | 358.2345.8–362.7 | 126.694.2–161.1 |
| 2062 | 357.4345.2–363.1 | 126.399.6–157.3 |
| 2063 | 358.8347.3–362.6 | 127.7101–159.7 |
| 2064 | 358.9348.4–363.3 | 130.498–151.3 |
| 2065 | 359.1351.1–362.9 | 132.4107.6–165.6 |
| 2066 | 359.2350.6–363.1 | 134.5106.8–159.8 |
| 2067 | 358.6347.6–363.3 | 125.598.9–160.5 |
| 2068 | 359.9350.3–364.4 | 134102.3–166.1 |
| 2069 | 357.6347–363.1 | 136.9106.4–164.2 |
| 2070 | 359.5350.4–363 | 133.199.8–166.3 |
| 2071 | 359.6350.5–363.2 | 135.2108.4–173.7 |
| 2072 | 360.2348.4–364.2 | 140.4110.6–166.8 |
| 2073 | 359.3350.3–363.5 | 140.9109.7–173.6 |
| 2074 | 359.5348–363.3 | 135.5112–170.6 |
| 2075 | 359.9348.5–363.4 | 136108.5–166.6 |
| 2076 | 359.4350.5–364 | 133.7105.9–163.7 |
| 2077 | 359.9352.2–363.7 | 140.2114.3–170.6 |
| 2078 | 360351.2–363.4 | 137.5111.3–172.3 |
| 2079 | 359.8350.9–363.3 | 136.9110.2–172.6 |
| 2080 | 361.3349.8–364.6 | 145115.8–173.2 |
| 2081 | 360.4350.5–363.9 | 147.2106.5–174.1 |
| 2082 | 360.3351–363.3 | 141.4111.4–169.9 |
| 2083 | 360351.1–363.8 | 143.6106.5–179.2 |
| 2084 | 360.8350.8–364.9 | 149.4117.3–176.9 |
| 2085 | 361352.3–363.7 | 154.3114.9–182.7 |
| 2086 | 360.4352.5–364.1 | 141.7115.3–176.1 |
| 2087 | 359.7347.8–363.8 | 142.7116.8–177.3 |
| 2088 | 360.3352.2–364.7 | 150.2118.3–178.9 |
| 2089 | 360.2352.3–363.8 | 148.9121.3–176.4 |
| 2090 | 360.2351.3–363.9 | 145.7113.7–179.4 |
| 2091 | 360.9351.6–364.1 | 149.7116.5–181.8 |
| 2092 | 360.7352.4–364.7 | 149.4119.7–181.7 |
| 2093 | 361.6354.1–363.9 | 152.5117.1–184.1 |
| 2094 | 361.3353.8–364.3 | 150.9117.3–182.2 |
| 2095 | 361.5353.2–364 | 155118.3–181.5 |
| 2096 | 361.1352.8–365.1 | 152.4113.1–189.2 |
| 2097 | 360.7351.9–364.2 | 144.1113.8–183.3 |
| 2098 | 361.5352.6–364.1 | 152.4119.2–187 |
| 2099 | 361.2352.4–364.1 | 152.9117.3–185 |
| 2100 | 361.1352.6–364.2 | 148.3120.1–184.6 |
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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
南苏丹与津巴布韦对比
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冲突
军用
- 军费开支南苏丹:2025 年为 GDP 的 3.43%津巴布韦:2025 年为 GDP 的 0.56%
- 军费开支(美元)南苏丹:2025 年为 US$1.03亿津巴布韦:2025 年为 US$1.34亿
- 人均军费开支南苏丹:2025 年为 US$15津巴布韦:2025 年为 US$10
- 军费占政府支出比例南苏丹:2025 年为 18.4%(占政府支出)津巴布韦:2005 年为 5.3%(占政府支出)
- 武装部队人员南苏丹:2020 年为 53,000 人津巴布韦:2020 年为 51,000 人
- 国家实力南苏丹:2022 年为 0.08%(占全球实力)津巴布韦:2022 年为 0.08%(占全球实力)
- 武装部队占劳动力比例南苏丹:2020 年为 1.18%(占劳动力)津巴布韦:2020 年为 0.88%(占劳动力)
- 武器进口南苏丹:2022 年为 1000万 TIV津巴布韦:2023 年为 2000万 TIV