塞内加尔与南苏丹对比
塞内加尔与南苏丹:35 °C 以上天数
2014 年35 °C 以上天数:塞内加尔为 190.2 天,南苏丹为 115.2 天(CMIP6 气候模型中位数模拟)。 2014 年塞内加尔的数值较高,高出 75 天,是南苏丹的 1.65 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,塞内加尔的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年塞内加尔为 266.6 天,南苏丹为 172 天。
逐年数据
每年天数 · CMIP6
| 年份 | 塞内加尔 | 南苏丹 |
|---|---|---|
| 2014 | 190.2 | 115.2 |
| 2013 | 190.1 | 111.2 |
| 2012 | 186.6 | 108.8 |
| 2011 | 188.7 | 112.9 |
| 2010 | 186.8 | 112.8 |
| 2009 | 184.1 | 104.3 |
| 2008 | 181.8 | 104.2 |
| 2007 | 181.4 | 100.7 |
| 2006 | 183.2 | 105.3 |
| 2005 | 179.7 | 102.8 |
| 2004 | 186.9 | 103.4 |
| 2003 | 180.7 | 102.5 |
| 2002 | 177.9 | 104.6 |
| 2001 | 184.9 | 108.9 |
| 2000 | 176.7 | 99.1 |
| 1999 | 174.3 | 97.8 |
| 1998 | 172.3 | 97.6 |
| 1997 | 172.3 | 99.2 |
| 1996 | 168.6 | 94 |
| 1995 | 168.3 | 94 |
| 1994 | 163.6 | 89.9 |
| 1993 | 157.6 | 84.6 |
| 1992 | 150.7 | 87.9 |
| 1991 | 167.6 | 95.2 |
| 1990 | 174.5 | 94 |
| 1989 | 169.3 | 93.6 |
| 1988 | 164.3 | 98 |
| 1987 | 160.7 | 97.7 |
| 1986 | 168.7 | 97.9 |
| 1985 | 161.2 | 89.8 |
| 1984 | 162.8 | 90.8 |
| 1983 | 163.8 | 90.8 |
| 1982 | 165.8 | 89.3 |
| 1981 | 162.8 | 96.2 |
| 1980 | 169.3 | 97.5 |
| 1979 | 165.1 | 95.4 |
| 1978 | 159.6 | 89.1 |
| 1977 | 157.7 | 92.9 |
| 1976 | 161.7 | 86.7 |
| 1975 | 153.7 | 91.5 |
| 1974 | 157.3 | 90 |
| 1973 | 158.5 | 90.1 |
| 1972 | 159.7 | 89.8 |
| 1971 | 154.2 | 84.8 |
| 1970 | 158.4 | 87.8 |
| 1969 | 160.8 | 90.8 |
| 1968 | 154.4 | 85.5 |
| 1967 | 151.6 | 84.3 |
| 1966 | 154.3 | 87 |
| 1965 | 151.3 | 82.2 |
| 1964 | 145 | 79.2 |
| 1963 | 146.8 | 84.4 |
| 1962 | 162 | 93.5 |
| 1961 | 158.5 | 90.4 |
| 1960 | 159.8 | 92 |
| 1959 | 160.5 | 90.1 |
| 1958 | 162.1 | 88 |
| 1957 | 164.4 | 90.7 |
| 1956 | 158.7 | 85.5 |
| 1955 | 154.6 | 87.3 |
| 1954 | 159.9 | 91 |
| 1953 | 154.6 | 95.5 |
| 1952 | 157.5 | 88.7 |
| 1951 | 158 | 93.2 |
| 1950 | 159.6 | 86.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 塞内加尔 | 南苏丹 |
|---|---|---|
| 2015 | 189.8158.7–212.1 | 112.487.1–135.9 |
| 2016 | 185.6159.7–207.9 | 103.878.8–129.9 |
| 2017 | 189.9163.2–215.2 | 114.384.4–134.8 |
| 2018 | 189.1161.9–207 | 109.674.1–140.7 |
| 2019 | 193.6158.6–215.6 | 107.285.2–133.3 |
| 2020 | 190.9158.5–211.2 | 114.783–140.8 |
| 2021 | 191.7165.8–222.9 | 112.182.3–137.9 |
| 2022 | 199.7171.2–226.2 | 108.880.6–137.3 |
| 2023 | 198.6168.1–226.9 | 113.188.8–147.8 |
| 2024 | 206.7177–233.9 | 121.591–149.4 |
| 2025 | 202.2174.6–236.9 | 115.889.9–141.1 |
| 2026 | 203.1154.7–230.6 | 112.283.6–145.9 |
| 2027 | 205.9173.9–227.8 | 115.482.9–143.9 |
| 2028 | 205.3175.8–234.6 | 118.387.9–145.1 |
| 2029 | 201.9175.9–225.4 | 120.789.9–140.1 |
| 2030 | 201.3172–224.6 | 117.292.5–147.7 |
| 2031 | 213.2180.8–237.3 | 123.397.3–147.8 |
| 2032 | 206.6172.7–239 | 118.791.5–148.1 |
| 2033 | 201.5170.2–231.9 | 123.791.9–159.9 |
| 2034 | 207.8185.1–243.2 | 120.889.9–159.1 |
| 2035 | 206.8177.4–237.9 | 122.892.3–153.1 |
| 2036 | 212.3182–235.9 | 118.790.7–147.5 |
| 2037 | 218.6191.9–243.4 | 127.792.4–161 |
| 2038 | 219.1185.9–248.2 | 129.5101.9–159.2 |
| 2039 | 215.4190.4–240 | 128.394.6–153.1 |
| 2040 | 221.1191–249.1 | 125.894.8–150.7 |
| 2041 | 221.3198.7–248.5 | 133.899.2–157.8 |
| 2042 | 218.8186.8–244.9 | 129.3101.8–150.8 |
| 2043 | 220.1194.4–247.3 | 124.788.4–161.9 |
| 2044 | 223.4188.4–251.2 | 12893.3–153.7 |
| 2045 | 223.6199.9–244.8 | 134.398–166.7 |
| 2046 | 229.2192.1–253.6 | 142.1102.3–172.2 |
| 2047 | 229192.2–256.9 | 139.3111.2–169.4 |
| 2048 | 233.5203.7–259.6 | 133.1102.8–175.4 |
| 2049 | 231.2201.5–257.3 | 144106.7–173.4 |
| 2050 | 224.1197.9–258.5 | 131.8102.7–175.9 |
| 2051 | 227.6191.2–260.6 | 136.9103.8–181 |
| 2052 | 231.6199.1–263.1 | 140.6107.1–170.7 |
| 2053 | 228.8202.6–271.5 | 136.798.4–174.4 |
| 2054 | 232.1202–265.8 | 143.499–172.9 |
| 2055 | 235.8203.2–263.4 | 143.4108.5–177.2 |
| 2056 | 239.1201.5–271.1 | 140.5106.1–187.1 |
| 2057 | 237.8202.8–272.9 | 152.3116.4–191.2 |
| 2058 | 243.1209.3–276.5 | 151.7101.9–183.5 |
| 2059 | 243.3209.3–276.3 | 145.9103.5–182.1 |
| 2060 | 243.1214.7–270.6 | 148.7106.5–190.2 |
| 2061 | 242203.5–273.5 | 149.5111.4–191.8 |
| 2062 | 243.3206.2–276.9 | 146.1106.4–194.6 |
| 2063 | 244.7212–274 | 147.1109.1–180.2 |
| 2064 | 239.9209.2–272.4 | 149.2109.2–185.1 |
| 2065 | 249.4211.2–277.6 | 153.7122.4–192.3 |
| 2066 | 245.9222.5–279.6 | 150.4119.4–190.7 |
| 2067 | 245.2205.2–281.7 | 149.8119–196.2 |
| 2068 | 240.9207.6–276.7 | 153.9118.8–193.6 |
| 2069 | 247.5211–278.1 | 148.8111.4–191.2 |
| 2070 | 245.5210.2–277.4 | 154.5117–195.8 |
| 2071 | 249.2218.5–281.5 | 153.5117.6–200.4 |
| 2072 | 252.6213.7–284.6 | 161.7122–189.2 |
| 2073 | 262.7220.7–294.2 | 159.7124.4–198.7 |
| 2074 | 252.3217.6–289.1 | 151.9106.9–200.6 |
| 2075 | 252.7215.3–284.8 | 155.5106.6–190 |
| 2076 | 258.3221.4–286.8 | 159.9116.3–216.8 |
| 2077 | 256.6219.6–293.6 | 163.6123.7–216.5 |
| 2078 | 256.4216–288.2 | 161.4123.3–199.6 |
| 2079 | 256.2222.9–291 | 158.8127.9–190.6 |
| 2080 | 256.4214.3–288.4 | 161.6116.1–198.3 |
| 2081 | 253.5216.8–297.6 | 163.3126.3–208.9 |
| 2082 | 258.5219.8–299.3 | 159.2127.6–200.5 |
| 2083 | 261.1225.1–299.8 | 168129–211.4 |
| 2084 | 259.9229.2–290.2 | 162.7120.4–199.8 |
| 2085 | 270.3230.5–296.1 | 166.1126.3–209.4 |
| 2086 | 258.3222–297.1 | 162.5122.2–208.7 |
| 2087 | 263.3220.1–297.8 | 163.7110.7–202.2 |
| 2088 | 255.7224.7–297.3 | 164.8122.3–214.2 |
| 2089 | 254.3219.7–296.7 | 162.4126–199.8 |
| 2090 | 255.8217.3–291.1 | 167120.8–211.8 |
| 2091 | 261.3224–289 | 165.6119.3–210.6 |
| 2092 | 266.6226.3–302.9 | 173.9126.9–217.6 |
| 2093 | 260.8225.6–296.8 | 168.8131.2–208.4 |
| 2094 | 264.3225.7–300.6 | 171.1131.9–222.8 |
| 2095 | 271.8224–302.1 | 171.7128.2–224.7 |
| 2096 | 263219–297 | 166.3122.8–214.1 |
| 2097 | 258.7225.3–292.6 | 165.8123.7–214.6 |
| 2098 | 267.2227.8–300.4 | 165.5125–217.9 |
| 2099 | 264.1226.6–301.2 | 171126.6–227.6 |
| 2100 | 266.6228.1–303.6 | 172124.2–217.9 |
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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
塞内加尔与南苏丹对比
健康
人口与社会
经济
教育
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冲突
军用
- 军费开支塞内加尔:2025 年为 GDP 的 1.56%南苏丹:2025 年为 GDP 的 3.43%
- 军费开支(美元)塞内加尔:2025 年为 US$5.33亿南苏丹:2025 年为 US$1.03亿
- 人均军费开支塞内加尔:2025 年为 US$30南苏丹:2025 年为 US$15
- 军费占政府支出比例塞内加尔:2025 年为 5.2%(占政府支出)南苏丹:2025 年为 18.4%(占政府支出)
- 武装部队人员塞内加尔:2020 年为 19,000 人南苏丹:2020 年为 53,000 人
- 国家实力塞内加尔:2022 年为 0.1%(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塞内加尔:2020 年为 0.37%(占劳动力)南苏丹:2020 年为 1.18%(占劳动力)
- 武器进口塞内加尔:2024 年为 7900万 TIV南苏丹:2022 年为 1000万 TIV