尼日尔与苏丹对比
尼日尔与苏丹:35 °C 以上天数
2014 年35 °C 以上天数:尼日尔为 209.1 天,苏丹为 184 天(CMIP6 气候模型中位数模拟)。 2014 年尼日尔的数值较高,高出 25.1 天,是苏丹的 1.14 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,尼日尔的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年尼日尔为 242.2 天,苏丹为 230.7 天。
逐年数据
每年天数 · CMIP6
| 年份 | 尼日尔 | 苏丹 |
|---|---|---|
| 2014 | 209.1 | 184 |
| 2013 | 205.4 | 179.8 |
| 2012 | 206 | 180.9 |
| 2011 | 207.1 | 183.5 |
| 2010 | 205.9 | 181.3 |
| 2009 | 204.2 | 175.7 |
| 2008 | 204.4 | 173.9 |
| 2007 | 201.3 | 171.9 |
| 2006 | 198.7 | 171.2 |
| 2005 | 200.6 | 169.5 |
| 2004 | 199.3 | 171.6 |
| 2003 | 201.3 | 172.7 |
| 2002 | 202.4 | 173.6 |
| 2001 | 201.1 | 177.8 |
| 2000 | 197.9 | 170.3 |
| 1999 | 196.9 | 170.7 |
| 1998 | 192.7 | 166 |
| 1997 | 197.8 | 169.3 |
| 1996 | 194.5 | 165.5 |
| 1995 | 193.7 | 165.1 |
| 1994 | 193.1 | 162.2 |
| 1993 | 186.1 | 154.5 |
| 1992 | 187.1 | 154.3 |
| 1991 | 195.9 | 165.3 |
| 1990 | 192.7 | 166.6 |
| 1989 | 192.9 | 164.1 |
| 1988 | 190.4 | 164.2 |
| 1987 | 190.2 | 163.3 |
| 1986 | 196.3 | 166.1 |
| 1985 | 189.1 | 159.7 |
| 1984 | 189.6 | 158 |
| 1983 | 189.7 | 157 |
| 1982 | 187.5 | 155.1 |
| 1981 | 190.9 | 162.1 |
| 1980 | 191.8 | 161.1 |
| 1979 | 189.1 | 160.4 |
| 1978 | 186.3 | 155.5 |
| 1977 | 190.8 | 157.9 |
| 1976 | 189.5 | 157.3 |
| 1975 | 185 | 153.9 |
| 1974 | 184.8 | 155.3 |
| 1973 | 192.4 | 161.4 |
| 1972 | 189.8 | 156.2 |
| 1971 | 186.7 | 153.4 |
| 1970 | 188.9 | 156.8 |
| 1969 | 184.3 | 153.8 |
| 1968 | 188.6 | 154.6 |
| 1967 | 183.6 | 148.4 |
| 1966 | 185.4 | 153 |
| 1965 | 185.7 | 154.2 |
| 1964 | 181.4 | 148.7 |
| 1963 | 179.4 | 146.1 |
| 1962 | 189 | 155.9 |
| 1961 | 186.5 | 158.5 |
| 1960 | 194.1 | 161.3 |
| 1959 | 190.2 | 158.4 |
| 1958 | 186.8 | 156.7 |
| 1957 | 194 | 159.4 |
| 1956 | 188.3 | 157.7 |
| 1955 | 188.8 | 154.7 |
| 1954 | 189 | 158.7 |
| 1953 | 188.3 | 156.3 |
| 1952 | 188.4 | 156.1 |
| 1951 | 190.5 | 158.9 |
| 1950 | 189.6 | 155.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 尼日尔 | 苏丹 |
|---|---|---|
| 2015 | 205.1180.6–228.1 | 183.4158.5–201.6 |
| 2016 | 204.2180.2–222.1 | 179.1156.3–200.8 |
| 2017 | 210.9185.3–233.6 | 184.1159.3–204.4 |
| 2018 | 206183.2–227.4 | 178.9156–204.1 |
| 2019 | 206.7178.9–231.2 | 181.9158.3–204.8 |
| 2020 | 207.9183.1–226.7 | 182.3159.2–205.5 |
| 2021 | 209189.8–228 | 183.1159.4–206.8 |
| 2022 | 213190.1–231 | 187.9165.4–207.6 |
| 2023 | 207186.6–229.1 | 185.3162.7–207.9 |
| 2024 | 216.5197.3–234.6 | 192.2168–211.3 |
| 2025 | 214.6195.3–232 | 188.6166.8–209.3 |
| 2026 | 210.3178.5–235.6 | 188.5157.9–211.8 |
| 2027 | 216.5188.8–235.6 | 189.2157–211.6 |
| 2028 | 217188.5–233.4 | 189.6162.9–211.3 |
| 2029 | 218.1194.8–237.8 | 190.4166.6–209.3 |
| 2030 | 217.1191.5–237 | 191.6170.8–214.6 |
| 2031 | 215195.1–239.7 | 192.2167.3–218 |
| 2032 | 213.2192.1–232 | 191.2169.9–210.3 |
| 2033 | 217.2196.1–237 | 195.3172.4–216.8 |
| 2034 | 216.7191–240 | 197.1168.8–222.4 |
| 2035 | 219.7195.8–235.8 | 196.4168.7–221.2 |
| 2036 | 216.2196–236.1 | 191.3171.4–213.6 |
| 2037 | 222.3199.9–240.2 | 198173.5–220.2 |
| 2038 | 219.5198.9–243.8 | 200.4179.8–221.2 |
| 2039 | 218.3195.6–242.5 | 199.5171.5–218.6 |
| 2040 | 218.7200.4–240.1 | 196.3172.7–217.9 |
| 2041 | 222.2200.4–245 | 202.2174.1–221.8 |
| 2042 | 222201.7–244.6 | 201.6175.8–224.1 |
| 2043 | 220.5198.6–236.4 | 198.7169.7–224.3 |
| 2044 | 218.2198.9–241.6 | 198.3173.4–222.2 |
| 2045 | 222202–242 | 203.4179.1–224.6 |
| 2046 | 225.1198–243 | 210.2177.8–229.9 |
| 2047 | 229.1204.3–245.7 | 206.2180.9–228.4 |
| 2048 | 225.8200.7–247.3 | 204.6180–231.3 |
| 2049 | 222.4197.3–242.8 | 204.3178.2–227.3 |
| 2050 | 224.7203.3–246.8 | 205.3180.8–234.5 |
| 2051 | 224.6203.8–242.1 | 206.2186–229.8 |
| 2052 | 229.7204.6–252.7 | 209182–231.9 |
| 2053 | 225.2204.6–248.6 | 208.7181.2–230.7 |
| 2054 | 229199.7–252.3 | 211180.1–231.4 |
| 2055 | 230.7210.5–249.6 | 212.3184–233.5 |
| 2056 | 229.8199.3–254.5 | 208.5182.4–235.7 |
| 2057 | 231.1205.6–251.8 | 213.2186.4–240.1 |
| 2058 | 226.7203.5–249.9 | 213.4183–233.4 |
| 2059 | 233.3210.7–256 | 214.6189.2–242.4 |
| 2060 | 230.9206.7–251.3 | 213.7189.1–241.7 |
| 2061 | 232.3207.4–256.9 | 214.5186.1–239.4 |
| 2062 | 233211.8–254.7 | 214.4187–241.2 |
| 2063 | 228.8206.1–248.5 | 212.5181.1–235.9 |
| 2064 | 232.3207.9–252.9 | 214.9189.9–242.2 |
| 2065 | 233.4211.8–253.6 | 217.2195.4–238.5 |
| 2066 | 236.5212.7–261.5 | 217.1190.9–246.3 |
| 2067 | 229.1206.5–253.3 | 216.5188.1–243.9 |
| 2068 | 233.9210.6–259.9 | 216.7193.9–247.6 |
| 2069 | 233.2210.6–253.7 | 216.1187.6–243.2 |
| 2070 | 235.8209.1–254.8 | 219.4189.5–241.3 |
| 2071 | 237.9218.7–258.9 | 224.1190.5–247.8 |
| 2072 | 237.9218–259.8 | 222.3196.2–245.1 |
| 2073 | 235.1210–259.4 | 221.8196.1–246.8 |
| 2074 | 235.2212.8–261.3 | 218.1183.5–249 |
| 2075 | 239.3212.9–259.7 | 221.9188.6–243.6 |
| 2076 | 238.9215.3–262.6 | 222.4196.4–250.8 |
| 2077 | 242218.1–264 | 225.8194.6–252.8 |
| 2078 | 241.4216.1–262.3 | 224.1196.8–250.7 |
| 2079 | 235.6213.1–259.6 | 220.7194.1–245.3 |
| 2080 | 238.2215.8–263.6 | 225.9191.3–250 |
| 2081 | 240.1217.1–267.5 | 225.1197.7–250.3 |
| 2082 | 238215.5–261.3 | 222.6195.3–249.8 |
| 2083 | 242.5216.2–264 | 228.1199.6–251.9 |
| 2084 | 239.2214.3–261.4 | 224.5194.9–252.9 |
| 2085 | 241.7216.6–264.8 | 226.3199.3–251.5 |
| 2086 | 240.9220–270.6 | 225.2193.1–258.3 |
| 2087 | 236.9208.4–262.9 | 222.9190.2–250.1 |
| 2088 | 236.9216.5–271.3 | 220.4194.2–256.8 |
| 2089 | 242.4215.5–267.5 | 227195.7–249.8 |
| 2090 | 242.1213.6–262.2 | 229198.7–254.5 |
| 2091 | 241.3218.9–266.5 | 227196.4–254.1 |
| 2092 | 245217.6–266.3 | 227.2200.5–253.1 |
| 2093 | 242.2219.3–262.9 | 227.5203–252.1 |
| 2094 | 245.1220.3–263.4 | 231.9201.3–256 |
| 2095 | 244.1218.8–266.6 | 228.4202.1–255 |
| 2096 | 241.9225.1–264.5 | 226.4198.4–255.9 |
| 2097 | 241.4218–265.6 | 225.9196.5–255.7 |
| 2098 | 240.8215.3–263.5 | 227.8194.4–253.4 |
| 2099 | 247.1221.7–265.4 | 229.5200.7–257.4 |
| 2100 | 242.2221.3–266.4 | 230.7199.7–256.7 |
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
尼日尔与苏丹对比
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冲突
军用
- 军费开支尼日尔:2025 年为 GDP 的 2.14%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)尼日尔:2025 年为 US$4.5亿苏丹:2021 年为 US$27.7亿
- 人均军费开支尼日尔:2025 年为 US$18苏丹:2021 年为 US$8
- 军费占政府支出比例尼日尔:2025 年为 15.2%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员尼日尔:2020 年为 10,000 人苏丹:2020 年为 144,000 人
- 国家实力尼日尔:2022 年为 0.11%(占全球实力)苏丹:2022 年为 0.37%(占全球实力)
- 武装部队占劳动力比例尼日尔:2020 年为 0.11%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口尼日尔:2025 年为 400万 TIV苏丹:2025 年为 5700万 TIV
- 武器出口尼日尔:1973 年为 0 TIV苏丹:2013 年为 1100万 TIV