乍得与苏丹对比
乍得与苏丹:35 °C 以上天数
2014 年35 °C 以上天数:乍得为 187.2 天,苏丹为 184 天(CMIP6 气候模型中位数模拟)。 2014 年乍得的数值较高,高出 3.2 天,是苏丹的 1.02 倍。
每年天数 · CMIP6
数据解读
- 自 2000 年以来,乍得的数值一直更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年乍得为 230.3 天,苏丹为 230.7 天。
逐年数据
每年天数 · CMIP6
| 年份 | 乍得 | 苏丹 |
|---|---|---|
| 2014 | 187.2 | 184 |
| 2013 | 182.2 | 179.8 |
| 2012 | 184.1 | 180.9 |
| 2011 | 184 | 183.5 |
| 2010 | 182.3 | 181.3 |
| 2009 | 177.1 | 175.7 |
| 2008 | 176.6 | 173.9 |
| 2007 | 174.9 | 171.9 |
| 2006 | 175.3 | 171.2 |
| 2005 | 173.8 | 169.5 |
| 2004 | 175.5 | 171.6 |
| 2003 | 176.1 | 172.7 |
| 2002 | 176.1 | 173.6 |
| 2001 | 180.1 | 177.8 |
| 2000 | 173.3 | 170.3 |
| 1999 | 170.7 | 170.7 |
| 1998 | 166.8 | 166 |
| 1997 | 171.5 | 169.3 |
| 1996 | 167.3 | 165.5 |
| 1995 | 167.2 | 165.1 |
| 1994 | 165.3 | 162.2 |
| 1993 | 158.9 | 154.5 |
| 1992 | 158.4 | 154.3 |
| 1991 | 168.1 | 165.3 |
| 1990 | 168.7 | 166.6 |
| 1989 | 166.9 | 164.1 |
| 1988 | 167.6 | 164.2 |
| 1987 | 164.3 | 163.3 |
| 1986 | 170.5 | 166.1 |
| 1985 | 162 | 159.7 |
| 1984 | 161.3 | 158 |
| 1983 | 161.2 | 157 |
| 1982 | 159.2 | 155.1 |
| 1981 | 164.3 | 162.1 |
| 1980 | 164.6 | 161.1 |
| 1979 | 163 | 160.4 |
| 1978 | 160.3 | 155.5 |
| 1977 | 161.4 | 157.9 |
| 1976 | 159.8 | 157.3 |
| 1975 | 156.9 | 153.9 |
| 1974 | 157.6 | 155.3 |
| 1973 | 164.8 | 161.4 |
| 1972 | 161.4 | 156.2 |
| 1971 | 158.7 | 153.4 |
| 1970 | 160.4 | 156.8 |
| 1969 | 156.8 | 153.8 |
| 1968 | 157.6 | 154.6 |
| 1967 | 155 | 148.4 |
| 1966 | 156.9 | 153 |
| 1965 | 157.4 | 154.2 |
| 1964 | 152.2 | 148.7 |
| 1963 | 150.1 | 146.1 |
| 1962 | 161.8 | 155.9 |
| 1961 | 160.4 | 158.5 |
| 1960 | 166.3 | 161.3 |
| 1959 | 159.9 | 158.4 |
| 1958 | 160.9 | 156.7 |
| 1957 | 163.1 | 159.4 |
| 1956 | 159.3 | 157.7 |
| 1955 | 159.6 | 154.7 |
| 1954 | 159.8 | 158.7 |
| 1953 | 161.1 | 156.3 |
| 1952 | 161.7 | 156.1 |
| 1951 | 163.6 | 158.9 |
| 1950 | 160.6 | 155.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 乍得 | 苏丹 |
|---|---|---|
| 2015 | 184.1153.9–205.2 | 183.4158.5–201.6 |
| 2016 | 179.9150.6–201.9 | 179.1156.3–200.8 |
| 2017 | 185.5156.4–210.2 | 184.1159.3–204.4 |
| 2018 | 180.7153.2–206 | 178.9156–204.1 |
| 2019 | 182.2153.5–208.9 | 181.9158.3–204.8 |
| 2020 | 183.2154.8–206.8 | 182.3159.2–205.5 |
| 2021 | 187.2156.5–209.5 | 183.1159.4–206.8 |
| 2022 | 187161.9–212.6 | 187.9165.4–207.6 |
| 2023 | 185160.4–208.6 | 185.3162.7–207.9 |
| 2024 | 192.4172.2–213.8 | 192.2168–211.3 |
| 2025 | 191166–212.1 | 188.6166.8–209.3 |
| 2026 | 186.6152.4–214.2 | 188.5157.9–211.8 |
| 2027 | 190.6157.6–213.3 | 189.2157–211.6 |
| 2028 | 191.7161–214.4 | 189.6162.9–211.3 |
| 2029 | 193.6167.4–215.7 | 190.4166.6–209.3 |
| 2030 | 194.7165.8–217.9 | 191.6170.8–214.6 |
| 2031 | 193163.2–220.9 | 192.2167.3–218 |
| 2032 | 192.4167.3–215 | 191.2169.9–210.3 |
| 2033 | 195.6171.3–219.5 | 195.3172.4–216.8 |
| 2034 | 194.6166.8–223.6 | 197.1168.8–222.4 |
| 2035 | 196.8163.3–221.4 | 196.4168.7–221.2 |
| 2036 | 193.9166.6–216.5 | 191.3171.4–213.6 |
| 2037 | 199.7172.7–223.3 | 198173.5–220.2 |
| 2038 | 201177.2–225.1 | 200.4179.8–221.2 |
| 2039 | 199171.5–222.5 | 199.5171.5–218.6 |
| 2040 | 199.4169.8–223.2 | 196.3172.7–217.9 |
| 2041 | 202.3173.3–227 | 202.2174.1–221.8 |
| 2042 | 201.3171.5–225.6 | 201.6175.8–224.1 |
| 2043 | 199.1171.1–222.4 | 198.7169.7–224.3 |
| 2044 | 199.3169.7–223.7 | 198.3173.4–222.2 |
| 2045 | 202.6173.4–228.4 | 203.4179.1–224.6 |
| 2046 | 209.1172.1–231.9 | 210.2177.8–229.9 |
| 2047 | 207175.1–230 | 206.2180.9–228.4 |
| 2048 | 207.1179.1–231.8 | 204.6180–231.3 |
| 2049 | 205173.7–229.2 | 204.3178.2–227.3 |
| 2050 | 205.3174.8–233.6 | 205.3180.8–234.5 |
| 2051 | 205179.7–232.7 | 206.2186–229.8 |
| 2052 | 211.7176.4–236.1 | 209182–231.9 |
| 2053 | 208.7176.2–233.5 | 208.7181.2–230.7 |
| 2054 | 213.8172.2–235.8 | 211180.1–231.4 |
| 2055 | 213.9185–235.6 | 212.3184–233.5 |
| 2056 | 210.7180.5–239 | 208.5182.4–235.7 |
| 2057 | 216.3186.1–240.6 | 213.2186.4–240.1 |
| 2058 | 212.4181–235.3 | 213.4183–233.4 |
| 2059 | 215.2186.5–243.1 | 214.6189.2–242.4 |
| 2060 | 214.9186.3–241.6 | 213.7189.1–241.7 |
| 2061 | 214.7181.7–243.2 | 214.5186.1–239.4 |
| 2062 | 215.8183–242.9 | 214.4187–241.2 |
| 2063 | 214.7186.4–237.8 | 212.5181.1–235.9 |
| 2064 | 216.1186.2–244 | 214.9189.9–242.2 |
| 2065 | 217.7194.5–241.9 | 217.2195.4–238.5 |
| 2066 | 219.7190–249.3 | 217.1190.9–246.3 |
| 2067 | 214.9189.9–245.2 | 216.5188.1–243.9 |
| 2068 | 218.4188.5–246.9 | 216.7193.9–247.6 |
| 2069 | 216.1184.3–245.3 | 216.1187.6–243.2 |
| 2070 | 221.4186.3–246.2 | 219.4189.5–241.3 |
| 2071 | 225.7190.5–249 | 224.1190.5–247.8 |
| 2072 | 222.8195.7–248.5 | 222.3196.2–245.1 |
| 2073 | 221.5191.4–249.1 | 221.8196.1–246.8 |
| 2074 | 219.2185.9–251.3 | 218.1183.5–249 |
| 2075 | 224.3187.8–249.4 | 221.9188.6–243.6 |
| 2076 | 222.7194.1–252.8 | 222.4196.4–250.8 |
| 2077 | 227.5195.3–253.9 | 225.8194.6–252.8 |
| 2078 | 225.1197.2–250.4 | 224.1196.8–250.7 |
| 2079 | 222.7192.5–248.8 | 220.7194.1–245.3 |
| 2080 | 224.8190.9–252.8 | 225.9191.3–250 |
| 2081 | 225.4195.3–255 | 225.1197.7–250.3 |
| 2082 | 223.1195.2–256.1 | 222.6195.3–249.8 |
| 2083 | 227.9197.3–253.7 | 228.1199.6–251.9 |
| 2084 | 224.1193.8–252.4 | 224.5194.9–252.9 |
| 2085 | 227.6199.6–253.1 | 226.3199.3–251.5 |
| 2086 | 226.6195.1–261.8 | 225.2193.1–258.3 |
| 2087 | 223.9190.2–252.3 | 222.9190.2–250.1 |
| 2088 | 220.7193.8–260.3 | 220.4194.2–256.8 |
| 2089 | 225.9191.8–254.4 | 227195.7–249.8 |
| 2090 | 230.1192.8–254.7 | 229198.7–254.5 |
| 2091 | 228.4195.4–254.3 | 227196.4–254.1 |
| 2092 | 231.3198.8–255.9 | 227.2200.5–253.1 |
| 2093 | 228.4200.3–254.7 | 227.5203–252.1 |
| 2094 | 231.3201.1–255.7 | 231.9201.3–256 |
| 2095 | 232.7197.9–258.5 | 228.4202.1–255 |
| 2096 | 228.1200.4–255.1 | 226.4198.4–255.9 |
| 2097 | 226.8198.5–255.6 | 225.9196.5–255.7 |
| 2098 | 227.7194.7–253.8 | 227.8194.4–253.4 |
| 2099 | 232.1203.4–258.1 | 229.5200.7–257.4 |
| 2100 | 230.3201.6–261.3 | 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
乍得与苏丹对比
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军用
- 军费开支乍得:2025 年为 GDP 的 3.19%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)乍得:2025 年为 US$5.98亿苏丹:2021 年为 US$27.7亿
- 人均军费开支乍得:2025 年为 US$31苏丹:2021 年为 US$8
- 军费占政府支出比例乍得:2025 年为 15.5%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员乍得:2020 年为 45,000 人苏丹:2020 年为 144,000 人
- 国家实力乍得:2022 年为 0.1%(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乍得:2020 年为 0.85%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口乍得:2025 年为 400万 TIV苏丹:2025 年为 5700万 TIV
- 武器出口乍得:1987 年为 2000万 TIV苏丹:2013 年为 1100万 TIV