南苏丹与赞比亚对比
南苏丹与赞比亚:35 °C 以上天数
2014 年35 °C 以上天数:南苏丹为 115.2 天,赞比亚为 9.7 天(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 105.5 天,是赞比亚的 12 倍。
每年天数 · 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 172 天,赞比亚为 45 天。
逐年数据
每年天数 · CMIP6
| 年份 | 南苏丹 | 赞比亚 |
|---|---|---|
| 2014 | 115.2 | 9.7 |
| 2013 | 111.2 | 10.6 |
| 2012 | 108.8 | 9.9 |
| 2011 | 112.9 | 8.8 |
| 2010 | 112.8 | 9.9 |
| 2009 | 104.3 | 8.5 |
| 2008 | 104.2 | 8.4 |
| 2007 | 100.7 | 8.2 |
| 2006 | 105.3 | 7.6 |
| 2005 | 102.8 | 8.2 |
| 2004 | 103.4 | 10.2 |
| 2003 | 102.5 | 8.8 |
| 2002 | 104.6 | 8.8 |
| 2001 | 108.9 | 9.5 |
| 2000 | 99.1 | 9 |
| 1999 | 97.8 | 7.6 |
| 1998 | 97.6 | 7.8 |
| 1997 | 99.2 | 6.6 |
| 1996 | 94 | 5.6 |
| 1995 | 94 | 6.2 |
| 1994 | 89.9 | 5.8 |
| 1993 | 84.6 | 4.1 |
| 1992 | 87.9 | 4.7 |
| 1991 | 95.2 | 4.9 |
| 1990 | 94 | 6 |
| 1989 | 93.6 | 6.2 |
| 1988 | 98 | 6.4 |
| 1987 | 97.7 | 6.5 |
| 1986 | 97.9 | 6.3 |
| 1985 | 89.8 | 4.9 |
| 1984 | 90.8 | 5.1 |
| 1983 | 90.8 | 5 |
| 1982 | 89.3 | 4.8 |
| 1981 | 96.2 | 5.8 |
| 1980 | 97.5 | 5.6 |
| 1979 | 95.4 | 5.3 |
| 1978 | 89.1 | 5 |
| 1977 | 92.9 | 5.4 |
| 1976 | 86.7 | 4.1 |
| 1975 | 91.5 | 4.8 |
| 1974 | 90 | 5.7 |
| 1973 | 90.1 | 5.7 |
| 1972 | 89.8 | 4.1 |
| 1971 | 84.8 | 4.7 |
| 1970 | 87.8 | 5.1 |
| 1969 | 90.8 | 5.1 |
| 1968 | 85.5 | 4.6 |
| 1967 | 84.3 | 4.1 |
| 1966 | 87 | 3.7 |
| 1965 | 82.2 | 4.8 |
| 1964 | 79.2 | 3.4 |
| 1963 | 84.4 | 3.4 |
| 1962 | 93.5 | 5 |
| 1961 | 90.4 | 5.3 |
| 1960 | 92 | 5.2 |
| 1959 | 90.1 | 5.5 |
| 1958 | 88 | 5.2 |
| 1957 | 90.7 | 5.4 |
| 1956 | 85.5 | 4.2 |
| 1955 | 87.3 | 5.4 |
| 1954 | 91 | 5.2 |
| 1953 | 95.5 | 4.8 |
| 1952 | 88.7 | 5.8 |
| 1951 | 93.2 | 4.2 |
| 1950 | 86.7 | 5.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 南苏丹 | 赞比亚 |
|---|---|---|
| 2015 | 112.487.1–135.9 | 12.45.1–21 |
| 2016 | 103.878.8–129.9 | 114.9–19.9 |
| 2017 | 114.384.4–134.8 | 115.1–18.3 |
| 2018 | 109.674.1–140.7 | 11.44.9–21.2 |
| 2019 | 107.285.2–133.3 | 12.16.3–19.3 |
| 2020 | 114.783–140.8 | 14.37.2–23.4 |
| 2021 | 112.182.3–137.9 | 12.65.9–22.1 |
| 2022 | 108.880.6–137.3 | 15.37–23.7 |
| 2023 | 113.188.8–147.8 | 17.510.3–26.3 |
| 2024 | 121.591–149.4 | 15.88.7–24.8 |
| 2025 | 115.889.9–141.1 | 14.76.5–26.2 |
| 2026 | 112.283.6–145.9 | 169.1–25.4 |
| 2027 | 115.482.9–143.9 | 17.78.9–29.2 |
| 2028 | 118.387.9–145.1 | 16.28.1–27.4 |
| 2029 | 120.789.9–140.1 | 18.69.5–28.9 |
| 2030 | 117.292.5–147.7 | 17.310–31.1 |
| 2031 | 123.397.3–147.8 | 16.97.7–30.4 |
| 2032 | 118.791.5–148.1 | 16.78.3–28.7 |
| 2033 | 123.791.9–159.9 | 209.5–32.1 |
| 2034 | 120.889.9–159.1 | 22.69.4–38.5 |
| 2035 | 122.892.3–153.1 | 19.310.1–35.5 |
| 2036 | 118.790.7–147.5 | 18.88.7–32.8 |
| 2037 | 127.792.4–161 | 20.79.8–34.6 |
| 2038 | 129.5101.9–159.2 | 20.311.6–36.7 |
| 2039 | 128.394.6–153.1 | 19.310.6–32 |
| 2040 | 125.894.8–150.7 | 18.89.3–34.6 |
| 2041 | 133.899.2–157.8 | 22.310.6–36.6 |
| 2042 | 129.3101.8–150.8 | 22.113.1–34.8 |
| 2043 | 124.788.4–161.9 | 239.6–38.3 |
| 2044 | 12893.3–153.7 | 21.910.3–36.4 |
| 2045 | 134.398–166.7 | 22.310.5–35.5 |
| 2046 | 142.1102.3–172.2 | 25.912.8–39.6 |
| 2047 | 139.3111.2–169.4 | 24.314.1–39.3 |
| 2048 | 133.1102.8–175.4 | 26.414.1–40.8 |
| 2049 | 144106.7–173.4 | 25.212.7–41 |
| 2050 | 131.8102.7–175.9 | 29.514.9–44 |
| 2051 | 136.9103.8–181 | 29.715.7–46.8 |
| 2052 | 140.6107.1–170.7 | 29.116.4–47.8 |
| 2053 | 136.798.4–174.4 | 27.713.4–42.1 |
| 2054 | 143.499–172.9 | 31.514–51.7 |
| 2055 | 143.4108.5–177.2 | 31.314.6–46.2 |
| 2056 | 140.5106.1–187.1 | 28.914–46.4 |
| 2057 | 152.3116.4–191.2 | 28.414.3–50.5 |
| 2058 | 151.7101.9–183.5 | 3014–47.4 |
| 2059 | 145.9103.5–182.1 | 34.319–50.7 |
| 2060 | 148.7106.5–190.2 | 32.614.6–53.4 |
| 2061 | 149.5111.4–191.8 | 33.215.2–53.9 |
| 2062 | 146.1106.4–194.6 | 31.917–51.6 |
| 2063 | 147.1109.1–180.2 | 30.715.7–50 |
| 2064 | 149.2109.2–185.1 | 32.716.6–49.6 |
| 2065 | 153.7122.4–192.3 | 34.217–58.2 |
| 2066 | 150.4119.4–190.7 | 34.715.5–56.6 |
| 2067 | 149.8119–196.2 | 30.417.4–53.3 |
| 2068 | 153.9118.8–193.6 | 32.117.6–49.7 |
| 2069 | 148.8111.4–191.2 | 35.916.2–53.5 |
| 2070 | 154.5117–195.8 | 34.719.7–57 |
| 2071 | 153.5117.6–200.4 | 3618.1–56.3 |
| 2072 | 161.7122–189.2 | 34.920–53.3 |
| 2073 | 159.7124.4–198.7 | 4121.4–63.3 |
| 2074 | 151.9106.9–200.6 | 34.820.5–59.6 |
| 2075 | 155.5106.6–190 | 33.117.4–55.1 |
| 2076 | 159.9116.3–216.8 | 36.317.9–62.2 |
| 2077 | 163.6123.7–216.5 | 3720.5–59.7 |
| 2078 | 161.4123.3–199.6 | 38.819.7–59.6 |
| 2079 | 158.8127.9–190.6 | 39.420.8–63.6 |
| 2080 | 161.6116.1–198.3 | 3820.3–64.5 |
| 2081 | 163.3126.3–208.9 | 36.921–63.8 |
| 2082 | 159.2127.6–200.5 | 36.522.8–61.1 |
| 2083 | 168129–211.4 | 40.819.1–63.3 |
| 2084 | 162.7120.4–199.8 | 41.121–60.8 |
| 2085 | 166.1126.3–209.4 | 44.827.6–70.2 |
| 2086 | 162.5122.2–208.7 | 36.821.5–66 |
| 2087 | 163.7110.7–202.2 | 4321.7–67.6 |
| 2088 | 164.8122.3–214.2 | 44.521.8–68.5 |
| 2089 | 162.4126–199.8 | 45.726.7–62.3 |
| 2090 | 167120.8–211.8 | 4423.3–67.1 |
| 2091 | 165.6119.3–210.6 | 41.922.7–72.7 |
| 2092 | 173.9126.9–217.6 | 44.824.2–68.9 |
| 2093 | 168.8131.2–208.4 | 41.921.7–68.5 |
| 2094 | 171.1131.9–222.8 | 46.826–69.9 |
| 2095 | 171.7128.2–224.7 | 4425.8–65.7 |
| 2096 | 166.3122.8–214.1 | 4221.1–67.9 |
| 2097 | 165.8123.7–214.6 | 40.420–65.5 |
| 2098 | 165.5125–217.9 | 42.823.4–67.6 |
| 2099 | 171126.6–227.6 | 44.621.7–77 |
| 2100 | 172124.2–217.9 | 4523.4–66 |
分别查看各国
须知
- 一年中最高气温超过 35 °C 的天数,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
南苏丹与赞比亚对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支南苏丹:2025 年为 GDP 的 3.43%赞比亚:2025 年为 GDP 的 1.26%
- 军费开支(美元)南苏丹:2025 年为 US$1.03亿赞比亚:2025 年为 US$3.43亿
- 人均军费开支南苏丹:2025 年为 US$15赞比亚:2025 年为 US$19
- 军费占政府支出比例南苏丹:2025 年为 18.4%(占政府支出)赞比亚:2025 年为 4.5%(占政府支出)
- 武装部队人员南苏丹:2020 年为 53,000 人赞比亚:2020 年为 16,000 人
- 国家实力南苏丹:2022 年为 0.08%(占全球实力)赞比亚:2022 年为 0.1%(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)赞比亚:2020 年为 0.24%(占劳动力)
- 武器进口南苏丹:2022 年为 1000万 TIV赞比亚:2024 年为 100万 TIV