苏丹与乌干达对比
苏丹与乌干达:热带夜
2014 年热带夜:苏丹为 242.4 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年苏丹的数值较高,高出 117.7 夜,是乌干达的 1.94 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,乌干达为 245.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 苏丹 | 乌干达 |
|---|---|---|
| 2014 | 242.4 | 124.7 |
| 2013 | 240 | 124 |
| 2012 | 242 | 122.2 |
| 2011 | 242.2 | 125.7 |
| 2010 | 240.6 | 122.5 |
| 2009 | 236.5 | 114.8 |
| 2008 | 237.1 | 114.1 |
| 2007 | 236 | 111.2 |
| 2006 | 235.3 | 117.4 |
| 2005 | 233.1 | 113.8 |
| 2004 | 233.5 | 114.6 |
| 2003 | 235.6 | 114.4 |
| 2002 | 234.7 | 114.4 |
| 2001 | 235.4 | 117.1 |
| 2000 | 230.5 | 109 |
| 1999 | 232.1 | 105.5 |
| 1998 | 230.2 | 105 |
| 1997 | 231.1 | 106.1 |
| 1996 | 227.3 | 102.1 |
| 1995 | 227.8 | 99.9 |
| 1994 | 225.3 | 94.6 |
| 1993 | 219.1 | 90.8 |
| 1992 | 217.8 | 89.9 |
| 1991 | 227.3 | 102.1 |
| 1990 | 227.5 | 103.8 |
| 1989 | 223 | 99.1 |
| 1988 | 223.1 | 98.6 |
| 1987 | 224.4 | 98.3 |
| 1986 | 226.4 | 99.2 |
| 1985 | 222.1 | 92.1 |
| 1984 | 220.7 | 94.6 |
| 1983 | 217 | 90.4 |
| 1982 | 216.3 | 94.4 |
| 1981 | 223.2 | 98.5 |
| 1980 | 220 | 96.3 |
| 1979 | 218.4 | 93.9 |
| 1978 | 218.5 | 91 |
| 1977 | 219.3 | 95.1 |
| 1976 | 220.1 | 92 |
| 1975 | 215.7 | 89.6 |
| 1974 | 217.5 | 91.8 |
| 1973 | 220 | 92.8 |
| 1972 | 217.9 | 90 |
| 1971 | 215.5 | 87.1 |
| 1970 | 217 | 88.8 |
| 1969 | 213.1 | 88 |
| 1968 | 214 | 87.3 |
| 1967 | 210.3 | 82.3 |
| 1966 | 213.3 | 82.5 |
| 1965 | 213.4 | 82.2 |
| 1964 | 213.2 | 78.2 |
| 1963 | 210.1 | 80.3 |
| 1962 | 217 | 88.5 |
| 1961 | 216.9 | 90.7 |
| 1960 | 221.3 | 93.2 |
| 1959 | 217.8 | 91.3 |
| 1958 | 216.2 | 88.7 |
| 1957 | 218.9 | 90.1 |
| 1956 | 217.2 | 88.8 |
| 1955 | 216.6 | 89 |
| 1954 | 218.9 | 89.5 |
| 1953 | 215.1 | 89 |
| 1952 | 216.4 | 89.6 |
| 1951 | 218.5 | 91.1 |
| 1950 | 214.1 | 87.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 苏丹 | 乌干达 |
|---|---|---|
| 2015 | 242.3225.3–258.3 | 131.598.6–164.1 |
| 2016 | 241.4223.3–254.1 | 12398.5–154.1 |
| 2017 | 243.2223–259.1 | 133.7108.6–162.7 |
| 2018 | 242.3226.4–258.5 | 134.2102.5–164 |
| 2019 | 243.1221.7–260.4 | 131.3104.8–166.2 |
| 2020 | 244.9225.9–261.7 | 140.7102.6–171.5 |
| 2021 | 245.6229.1–261.5 | 137.9112.9–175.4 |
| 2022 | 249230.9–262.3 | 140116.2–169.9 |
| 2023 | 247.1226.8–263.1 | 140.4114.2–184.8 |
| 2024 | 251.5232.8–266.1 | 151.1113.5–186.7 |
| 2025 | 250.7232.4–265.6 | 143108.5–176.4 |
| 2026 | 250230.8–266.6 | 144.6109.7–179.6 |
| 2027 | 248.8228.4–265.6 | 147.6116–175.4 |
| 2028 | 249232.2–263.1 | 151.6120.2–179.6 |
| 2029 | 251.4232.1–266 | 155.2127.3–178.6 |
| 2030 | 252235.4–266.7 | 150.4117.6–185.1 |
| 2031 | 253.3234.4–268.9 | 161.6132–187.2 |
| 2032 | 250.4232.3–266.6 | 159.1134.2–190.5 |
| 2033 | 254.4235.3–269.4 | 158.9123.4–200.6 |
| 2034 | 254.2234.5–269.9 | 161.5135.6–202.5 |
| 2035 | 258.3240.2–273.6 | 164.9126.3–193 |
| 2036 | 252.8235.6–268.6 | 158.5127.7–195.4 |
| 2037 | 256.7238.6–271.8 | 168.3138.2–207.3 |
| 2038 | 258.7244.8–272.1 | 173.8139.7–206.2 |
| 2039 | 259.5241.2–272.5 | 171.2130.1–205 |
| 2040 | 256.4236.7–272.3 | 170.4134.1–207.4 |
| 2041 | 259.1241.2–274.5 | 176.3144.6–208 |
| 2042 | 258.7242–274.7 | 175137.8–214.3 |
| 2043 | 258.1240.3–272.6 | 173.6132.8–207.6 |
| 2044 | 257.3238.6–274.7 | 176.1136.8–206.9 |
| 2045 | 258.8243.1–276.2 | 178.9138.3–217.7 |
| 2046 | 261.1241.7–277.6 | 191.9136.6–235 |
| 2047 | 261.4244.6–278.4 | 187.7156.6–225.3 |
| 2048 | 260.4243.4–279.5 | 189.3151.5–227.4 |
| 2049 | 261.9242.6–275.9 | 195.1154.9–233.6 |
| 2050 | 263.5245.4–279 | 191150.7–236.4 |
| 2051 | 263.6246.6–278.8 | 191.2154.4–228.2 |
| 2052 | 263.8248.7–278.3 | 192.6157.7–231.7 |
| 2053 | 262.8242.4–279.2 | 194.5149.7–233.5 |
| 2054 | 266.3246.6–282.9 | 199156.3–236.8 |
| 2055 | 265.6245.9–281.4 | 201.3151.7–240.7 |
| 2056 | 264.1242.6–281.5 | 198.9156.9–240.2 |
| 2057 | 266.4247.6–283.4 | 200165.5–244.7 |
| 2058 | 265.2247.4–280.3 | 208.8156.5–248.3 |
| 2059 | 268.4249.6–285.4 | 212.7171.1–254 |
| 2060 | 263.6246.7–284.4 | 212.6160.3–253.1 |
| 2061 | 266.9250.1–281.9 | 208.9162.4–258.1 |
| 2062 | 266.4248.5–285 | 206.4159.1–267.6 |
| 2063 | 267.1246.9–283.4 | 209.3168.5–246.3 |
| 2064 | 269250.7–284.7 | 210.6166.2–253.8 |
| 2065 | 269.8253.9–285.6 | 214.5167.8–261.1 |
| 2066 | 271.4251.9–287.3 | 211.9171.8–256.1 |
| 2067 | 270.9250–288.4 | 208.4168.3–269.8 |
| 2068 | 271.9251.7–289.8 | 216.4169.7–268.7 |
| 2069 | 268251.1–286.2 | 213170.3–268.1 |
| 2070 | 269252.3–285.8 | 216.4176.4–270.9 |
| 2071 | 275.5254.1–290.4 | 215.5174.6–273.5 |
| 2072 | 273.3254.2–289.4 | 227.3184.1–272.3 |
| 2073 | 271.9250.7–287.6 | 230.4189.3–278.5 |
| 2074 | 270.9249–290.1 | 220.7176.9–277 |
| 2075 | 273.1254–291.9 | 217.7167–274.2 |
| 2076 | 272.7255.2–290.9 | 228.1178.9–279 |
| 2077 | 274.6255.2–292.7 | 229.5189.6–280.5 |
| 2078 | 274.3255.6–291.2 | 225.6187.8–276.4 |
| 2079 | 272255.2–288.5 | 231.9168.8–277.7 |
| 2080 | 276.6256–292.2 | 232.8182.6–283.1 |
| 2081 | 275.1254.1–294.8 | 227.9187.6–279.3 |
| 2082 | 272.9258.7–288.6 | 233.1185.6–279.4 |
| 2083 | 276.5258–291.7 | 232.2175.7–297 |
| 2084 | 275.4253–294.9 | 237.2185.5–288.8 |
| 2085 | 275.3258.6–291.6 | 239.5192.4–291.7 |
| 2086 | 276.4256.9–296.6 | 236.2189.8–289.4 |
| 2087 | 273.5253.1–293.3 | 239.4188.9–294 |
| 2088 | 273.6253.7–293.6 | 236.8193.6–288.9 |
| 2089 | 276.5256.6–293.4 | 238.8193.8–293.7 |
| 2090 | 276.6256.4–294.6 | 237.7190.1–301.5 |
| 2091 | 277.4256.4–296.6 | 251188.7–300.1 |
| 2092 | 274.6254.3–294.9 | 243.4194.9–297.8 |
| 2093 | 278261.9–292.1 | 244.4199.2–296.8 |
| 2094 | 280.3262.2–294 | 245.6202.9–299.8 |
| 2095 | 277.5262.6–294 | 253.2202.4–306.1 |
| 2096 | 279.7258.7–297 | 241.4196.5–304 |
| 2097 | 276.3254.1–297.6 | 243.1194–296.6 |
| 2098 | 277.7258.2–295.5 | 242.9199–302.3 |
| 2099 | 276.8257.2–296.2 | 247.3194.4–306.1 |
| 2100 | 278.6259–294.3 | 245.3195.5–307.2 |
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
苏丹与乌干达对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支苏丹:2021 年为 GDP 的 0.93%乌干达:2025 年为 GDP 的 1.96%
- 军费开支(美元)苏丹:2021 年为 US$27.7亿乌干达:2025 年为 US$12亿
- 人均军费开支苏丹:2021 年为 US$8乌干达:2025 年为 US$26
- 军费占政府支出比例苏丹:2021 年为 9.5%(占政府支出)乌干达:2025 年为 9%(占政府支出)
- 武装部队人员苏丹:2020 年为 144,000 人乌干达:2020 年为 46,000 人
- 国家实力苏丹:2022 年为 0.37%(占全球实力)乌干达:2022 年为 0.2%(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)乌干达:2020 年为 0.24%(占劳动力)
- 武器进口苏丹:2025 年为 5700万 TIV乌干达:2025 年为 200万 TIV
- 武器出口苏丹:2013 年为 1100万 TIV乌干达:2016 年为 400万 TIV