苏丹与津巴布韦对比
苏丹与津巴布韦:热带夜
2014 年热带夜:苏丹为 242.4 夜,津巴布韦为 76.4 夜(CMIP6 气候模型中位数模拟)。 2014 年苏丹的数值较高,高出 166 夜,是津巴布韦的 3.17 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,苏丹的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年苏丹为 278.6 夜,津巴布韦为 148.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 苏丹 | 津巴布韦 |
|---|---|---|
| 2014 | 242.4 | 76.4 |
| 2013 | 240 | 78.4 |
| 2012 | 242 | 75.9 |
| 2011 | 242.2 | 73.3 |
| 2010 | 240.6 | 71.5 |
| 2009 | 236.5 | 69.6 |
| 2008 | 237.1 | 69.8 |
| 2007 | 236 | 69.3 |
| 2006 | 235.3 | 70.3 |
| 2005 | 233.1 | 69.5 |
| 2004 | 233.5 | 71.8 |
| 2003 | 235.6 | 72.9 |
| 2002 | 234.7 | 71.3 |
| 2001 | 235.4 | 71.3 |
| 2000 | 230.5 | 67.4 |
| 1999 | 232.1 | 62.3 |
| 1998 | 230.2 | 66.3 |
| 1997 | 231.1 | 62 |
| 1996 | 227.3 | 57.7 |
| 1995 | 227.8 | 58.9 |
| 1994 | 225.3 | 56.8 |
| 1993 | 219.1 | 50.1 |
| 1992 | 217.8 | 52.1 |
| 1991 | 227.3 | 58.7 |
| 1990 | 227.5 | 61.5 |
| 1989 | 223 | 60.4 |
| 1988 | 223.1 | 61.6 |
| 1987 | 224.4 | 57.3 |
| 1986 | 226.4 | 58.6 |
| 1985 | 222.1 | 54.1 |
| 1984 | 220.7 | 54.6 |
| 1983 | 217 | 53.3 |
| 1982 | 216.3 | 53.7 |
| 1981 | 223.2 | 57 |
| 1980 | 220 | 57.3 |
| 1979 | 218.4 | 56.2 |
| 1978 | 218.5 | 53.1 |
| 1977 | 219.3 | 55.2 |
| 1976 | 220.1 | 51.2 |
| 1975 | 215.7 | 53.6 |
| 1974 | 217.5 | 54.2 |
| 1973 | 220 | 53.9 |
| 1972 | 217.9 | 53.2 |
| 1971 | 215.5 | 51.1 |
| 1970 | 217 | 53.1 |
| 1969 | 213.1 | 53.3 |
| 1968 | 214 | 48.7 |
| 1967 | 210.3 | 48.7 |
| 1966 | 213.3 | 48.8 |
| 1965 | 213.4 | 48.6 |
| 1964 | 213.2 | 44.6 |
| 1963 | 210.1 | 47.4 |
| 1962 | 217 | 55.8 |
| 1961 | 216.9 | 51.6 |
| 1960 | 221.3 | 55.6 |
| 1959 | 217.8 | 53.6 |
| 1958 | 216.2 | 55.3 |
| 1957 | 218.9 | 53.2 |
| 1956 | 217.2 | 48.6 |
| 1955 | 216.6 | 54.4 |
| 1954 | 218.9 | 53 |
| 1953 | 215.1 | 51.8 |
| 1952 | 216.4 | 52.7 |
| 1951 | 218.5 | 52.3 |
| 1950 | 214.1 | 51.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 苏丹 | 津巴布韦 |
|---|---|---|
| 2015 | 242.3225.3–258.3 | 79.463.5–98.5 |
| 2016 | 241.4223.3–254.1 | 78.657.9–101.7 |
| 2017 | 243.2223–259.1 | 81.263.3–98.5 |
| 2018 | 242.3226.4–258.5 | 82.160.5–104.1 |
| 2019 | 243.1221.7–260.4 | 82.863.9–102.3 |
| 2020 | 244.9225.9–261.7 | 84.362.9–106.9 |
| 2021 | 245.6229.1–261.5 | 82.564.7–102.7 |
| 2022 | 249230.9–262.3 | 89.870.1–108.8 |
| 2023 | 247.1226.8–263.1 | 90.672.5–110.7 |
| 2024 | 251.5232.8–266.1 | 93.769.8–113.4 |
| 2025 | 250.7232.4–265.6 | 8865.1–114.6 |
| 2026 | 250230.8–266.6 | 89.767.8–113.9 |
| 2027 | 248.8228.4–265.6 | 95.668.4–119.6 |
| 2028 | 249232.2–263.1 | 93.371.4–115.7 |
| 2029 | 251.4232.1–266 | 100.277.2–120 |
| 2030 | 252235.4–266.7 | 9671.6–115.3 |
| 2031 | 253.3234.4–268.9 | 9874.9–119.8 |
| 2032 | 250.4232.3–266.6 | 98.574.7–118.5 |
| 2033 | 254.4235.3–269.4 | 98.974–120.6 |
| 2034 | 254.2234.5–269.9 | 100.277.3–128.1 |
| 2035 | 258.3240.2–273.6 | 103.975.7–130.6 |
| 2036 | 252.8235.6–268.6 | 100.878–123 |
| 2037 | 256.7238.6–271.8 | 10882.1–131.1 |
| 2038 | 258.7244.8–272.1 | 110.986.5–135 |
| 2039 | 259.5241.2–272.5 | 102.480.4–122.3 |
| 2040 | 256.4236.7–272.3 | 101.379.5–133.5 |
| 2041 | 259.1241.2–274.5 | 108.483.7–134.2 |
| 2042 | 258.7242–274.7 | 108.883.1–139.9 |
| 2043 | 258.1240.3–272.6 | 107.985.7–137.3 |
| 2044 | 257.3238.6–274.7 | 111.287–134.8 |
| 2045 | 258.8243.1–276.2 | 106.186.2–130.7 |
| 2046 | 261.1241.7–277.6 | 112.386.4–139.1 |
| 2047 | 261.4244.6–278.4 | 119.692.1–145.9 |
| 2048 | 260.4243.4–279.5 | 116.888.4–143.9 |
| 2049 | 261.9242.6–275.9 | 119.290.4–146.2 |
| 2050 | 263.5245.4–279 | 122.794.1–148.6 |
| 2051 | 263.6246.6–278.8 | 122.4100.9–147.7 |
| 2052 | 263.8248.7–278.3 | 124.2101.3–152.8 |
| 2053 | 262.8242.4–279.2 | 121.689–146.9 |
| 2054 | 266.3246.6–282.9 | 123.993.9–150.8 |
| 2055 | 265.6245.9–281.4 | 126.597.9–153.7 |
| 2056 | 264.1242.6–281.5 | 126.198–154.7 |
| 2057 | 266.4247.6–283.4 | 122.797.6–150.7 |
| 2058 | 265.2247.4–280.3 | 125.3103–154.1 |
| 2059 | 268.4249.6–285.4 | 132.2107.4–157.4 |
| 2060 | 263.6246.7–284.4 | 132.599.9–159 |
| 2061 | 266.9250.1–281.9 | 126.694.2–161.1 |
| 2062 | 266.4248.5–285 | 126.399.6–157.3 |
| 2063 | 267.1246.9–283.4 | 127.7101–159.7 |
| 2064 | 269250.7–284.7 | 130.498–151.3 |
| 2065 | 269.8253.9–285.6 | 132.4107.6–165.6 |
| 2066 | 271.4251.9–287.3 | 134.5106.8–159.8 |
| 2067 | 270.9250–288.4 | 125.598.9–160.5 |
| 2068 | 271.9251.7–289.8 | 134102.3–166.1 |
| 2069 | 268251.1–286.2 | 136.9106.4–164.2 |
| 2070 | 269252.3–285.8 | 133.199.8–166.3 |
| 2071 | 275.5254.1–290.4 | 135.2108.4–173.7 |
| 2072 | 273.3254.2–289.4 | 140.4110.6–166.8 |
| 2073 | 271.9250.7–287.6 | 140.9109.7–173.6 |
| 2074 | 270.9249–290.1 | 135.5112–170.6 |
| 2075 | 273.1254–291.9 | 136108.5–166.6 |
| 2076 | 272.7255.2–290.9 | 133.7105.9–163.7 |
| 2077 | 274.6255.2–292.7 | 140.2114.3–170.6 |
| 2078 | 274.3255.6–291.2 | 137.5111.3–172.3 |
| 2079 | 272255.2–288.5 | 136.9110.2–172.6 |
| 2080 | 276.6256–292.2 | 145115.8–173.2 |
| 2081 | 275.1254.1–294.8 | 147.2106.5–174.1 |
| 2082 | 272.9258.7–288.6 | 141.4111.4–169.9 |
| 2083 | 276.5258–291.7 | 143.6106.5–179.2 |
| 2084 | 275.4253–294.9 | 149.4117.3–176.9 |
| 2085 | 275.3258.6–291.6 | 154.3114.9–182.7 |
| 2086 | 276.4256.9–296.6 | 141.7115.3–176.1 |
| 2087 | 273.5253.1–293.3 | 142.7116.8–177.3 |
| 2088 | 273.6253.7–293.6 | 150.2118.3–178.9 |
| 2089 | 276.5256.6–293.4 | 148.9121.3–176.4 |
| 2090 | 276.6256.4–294.6 | 145.7113.7–179.4 |
| 2091 | 277.4256.4–296.6 | 149.7116.5–181.8 |
| 2092 | 274.6254.3–294.9 | 149.4119.7–181.7 |
| 2093 | 278261.9–292.1 | 152.5117.1–184.1 |
| 2094 | 280.3262.2–294 | 150.9117.3–182.2 |
| 2095 | 277.5262.6–294 | 155118.3–181.5 |
| 2096 | 279.7258.7–297 | 152.4113.1–189.2 |
| 2097 | 276.3254.1–297.6 | 144.1113.8–183.3 |
| 2098 | 277.7258.2–295.5 | 152.4119.2–187 |
| 2099 | 276.8257.2–296.2 | 152.9117.3–185 |
| 2100 | 278.6259–294.3 | 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
苏丹与津巴布韦对比
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军用
- 军费开支苏丹:2021 年为 GDP 的 0.93%津巴布韦:2025 年为 GDP 的 0.56%
- 军费开支(美元)苏丹:2021 年为 US$27.7亿津巴布韦:2025 年为 US$1.34亿
- 人均军费开支苏丹:2021 年为 US$8津巴布韦:2025 年为 US$10
- 军费占政府支出比例苏丹:2021 年为 9.5%(占政府支出)津巴布韦:2005 年为 5.3%(占政府支出)
- 武装部队人员苏丹:2020 年为 144,000 人津巴布韦:2020 年为 51,000 人
- 国家实力苏丹:2022 年为 0.37%(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苏丹:2020 年为 1.34%(占劳动力)津巴布韦:2020 年为 0.88%(占劳动力)
- 武器进口苏丹:2025 年为 5700万 TIV津巴布韦:2023 年为 2000万 TIV
- 武器出口苏丹:2013 年为 1100万 TIV津巴布韦:2001 年为 400万 TIV