乍得与尼日尔对比
乍得与尼日尔:35 °C 以上天数
2014 年35 °C 以上天数:乍得为 187.2 天,尼日尔为 209.1 天(CMIP6 气候模型中位数模拟)。 2014 年尼日尔的数值较高,高出 21.9 天,是乍得的 1.12 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,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 年乍得为 230.3 天,尼日尔为 242.2 天。
逐年数据
每年天数 · CMIP6
| 年份 | 乍得 | 尼日尔 |
|---|---|---|
| 2014 | 187.2 | 209.1 |
| 2013 | 182.2 | 205.4 |
| 2012 | 184.1 | 206 |
| 2011 | 184 | 207.1 |
| 2010 | 182.3 | 205.9 |
| 2009 | 177.1 | 204.2 |
| 2008 | 176.6 | 204.4 |
| 2007 | 174.9 | 201.3 |
| 2006 | 175.3 | 198.7 |
| 2005 | 173.8 | 200.6 |
| 2004 | 175.5 | 199.3 |
| 2003 | 176.1 | 201.3 |
| 2002 | 176.1 | 202.4 |
| 2001 | 180.1 | 201.1 |
| 2000 | 173.3 | 197.9 |
| 1999 | 170.7 | 196.9 |
| 1998 | 166.8 | 192.7 |
| 1997 | 171.5 | 197.8 |
| 1996 | 167.3 | 194.5 |
| 1995 | 167.2 | 193.7 |
| 1994 | 165.3 | 193.1 |
| 1993 | 158.9 | 186.1 |
| 1992 | 158.4 | 187.1 |
| 1991 | 168.1 | 195.9 |
| 1990 | 168.7 | 192.7 |
| 1989 | 166.9 | 192.9 |
| 1988 | 167.6 | 190.4 |
| 1987 | 164.3 | 190.2 |
| 1986 | 170.5 | 196.3 |
| 1985 | 162 | 189.1 |
| 1984 | 161.3 | 189.6 |
| 1983 | 161.2 | 189.7 |
| 1982 | 159.2 | 187.5 |
| 1981 | 164.3 | 190.9 |
| 1980 | 164.6 | 191.8 |
| 1979 | 163 | 189.1 |
| 1978 | 160.3 | 186.3 |
| 1977 | 161.4 | 190.8 |
| 1976 | 159.8 | 189.5 |
| 1975 | 156.9 | 185 |
| 1974 | 157.6 | 184.8 |
| 1973 | 164.8 | 192.4 |
| 1972 | 161.4 | 189.8 |
| 1971 | 158.7 | 186.7 |
| 1970 | 160.4 | 188.9 |
| 1969 | 156.8 | 184.3 |
| 1968 | 157.6 | 188.6 |
| 1967 | 155 | 183.6 |
| 1966 | 156.9 | 185.4 |
| 1965 | 157.4 | 185.7 |
| 1964 | 152.2 | 181.4 |
| 1963 | 150.1 | 179.4 |
| 1962 | 161.8 | 189 |
| 1961 | 160.4 | 186.5 |
| 1960 | 166.3 | 194.1 |
| 1959 | 159.9 | 190.2 |
| 1958 | 160.9 | 186.8 |
| 1957 | 163.1 | 194 |
| 1956 | 159.3 | 188.3 |
| 1955 | 159.6 | 188.8 |
| 1954 | 159.8 | 189 |
| 1953 | 161.1 | 188.3 |
| 1952 | 161.7 | 188.4 |
| 1951 | 163.6 | 190.5 |
| 1950 | 160.6 | 189.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 乍得 | 尼日尔 |
|---|---|---|
| 2015 | 184.1153.9–205.2 | 205.1180.6–228.1 |
| 2016 | 179.9150.6–201.9 | 204.2180.2–222.1 |
| 2017 | 185.5156.4–210.2 | 210.9185.3–233.6 |
| 2018 | 180.7153.2–206 | 206183.2–227.4 |
| 2019 | 182.2153.5–208.9 | 206.7178.9–231.2 |
| 2020 | 183.2154.8–206.8 | 207.9183.1–226.7 |
| 2021 | 187.2156.5–209.5 | 209189.8–228 |
| 2022 | 187161.9–212.6 | 213190.1–231 |
| 2023 | 185160.4–208.6 | 207186.6–229.1 |
| 2024 | 192.4172.2–213.8 | 216.5197.3–234.6 |
| 2025 | 191166–212.1 | 214.6195.3–232 |
| 2026 | 186.6152.4–214.2 | 210.3178.5–235.6 |
| 2027 | 190.6157.6–213.3 | 216.5188.8–235.6 |
| 2028 | 191.7161–214.4 | 217188.5–233.4 |
| 2029 | 193.6167.4–215.7 | 218.1194.8–237.8 |
| 2030 | 194.7165.8–217.9 | 217.1191.5–237 |
| 2031 | 193163.2–220.9 | 215195.1–239.7 |
| 2032 | 192.4167.3–215 | 213.2192.1–232 |
| 2033 | 195.6171.3–219.5 | 217.2196.1–237 |
| 2034 | 194.6166.8–223.6 | 216.7191–240 |
| 2035 | 196.8163.3–221.4 | 219.7195.8–235.8 |
| 2036 | 193.9166.6–216.5 | 216.2196–236.1 |
| 2037 | 199.7172.7–223.3 | 222.3199.9–240.2 |
| 2038 | 201177.2–225.1 | 219.5198.9–243.8 |
| 2039 | 199171.5–222.5 | 218.3195.6–242.5 |
| 2040 | 199.4169.8–223.2 | 218.7200.4–240.1 |
| 2041 | 202.3173.3–227 | 222.2200.4–245 |
| 2042 | 201.3171.5–225.6 | 222201.7–244.6 |
| 2043 | 199.1171.1–222.4 | 220.5198.6–236.4 |
| 2044 | 199.3169.7–223.7 | 218.2198.9–241.6 |
| 2045 | 202.6173.4–228.4 | 222202–242 |
| 2046 | 209.1172.1–231.9 | 225.1198–243 |
| 2047 | 207175.1–230 | 229.1204.3–245.7 |
| 2048 | 207.1179.1–231.8 | 225.8200.7–247.3 |
| 2049 | 205173.7–229.2 | 222.4197.3–242.8 |
| 2050 | 205.3174.8–233.6 | 224.7203.3–246.8 |
| 2051 | 205179.7–232.7 | 224.6203.8–242.1 |
| 2052 | 211.7176.4–236.1 | 229.7204.6–252.7 |
| 2053 | 208.7176.2–233.5 | 225.2204.6–248.6 |
| 2054 | 213.8172.2–235.8 | 229199.7–252.3 |
| 2055 | 213.9185–235.6 | 230.7210.5–249.6 |
| 2056 | 210.7180.5–239 | 229.8199.3–254.5 |
| 2057 | 216.3186.1–240.6 | 231.1205.6–251.8 |
| 2058 | 212.4181–235.3 | 226.7203.5–249.9 |
| 2059 | 215.2186.5–243.1 | 233.3210.7–256 |
| 2060 | 214.9186.3–241.6 | 230.9206.7–251.3 |
| 2061 | 214.7181.7–243.2 | 232.3207.4–256.9 |
| 2062 | 215.8183–242.9 | 233211.8–254.7 |
| 2063 | 214.7186.4–237.8 | 228.8206.1–248.5 |
| 2064 | 216.1186.2–244 | 232.3207.9–252.9 |
| 2065 | 217.7194.5–241.9 | 233.4211.8–253.6 |
| 2066 | 219.7190–249.3 | 236.5212.7–261.5 |
| 2067 | 214.9189.9–245.2 | 229.1206.5–253.3 |
| 2068 | 218.4188.5–246.9 | 233.9210.6–259.9 |
| 2069 | 216.1184.3–245.3 | 233.2210.6–253.7 |
| 2070 | 221.4186.3–246.2 | 235.8209.1–254.8 |
| 2071 | 225.7190.5–249 | 237.9218.7–258.9 |
| 2072 | 222.8195.7–248.5 | 237.9218–259.8 |
| 2073 | 221.5191.4–249.1 | 235.1210–259.4 |
| 2074 | 219.2185.9–251.3 | 235.2212.8–261.3 |
| 2075 | 224.3187.8–249.4 | 239.3212.9–259.7 |
| 2076 | 222.7194.1–252.8 | 238.9215.3–262.6 |
| 2077 | 227.5195.3–253.9 | 242218.1–264 |
| 2078 | 225.1197.2–250.4 | 241.4216.1–262.3 |
| 2079 | 222.7192.5–248.8 | 235.6213.1–259.6 |
| 2080 | 224.8190.9–252.8 | 238.2215.8–263.6 |
| 2081 | 225.4195.3–255 | 240.1217.1–267.5 |
| 2082 | 223.1195.2–256.1 | 238215.5–261.3 |
| 2083 | 227.9197.3–253.7 | 242.5216.2–264 |
| 2084 | 224.1193.8–252.4 | 239.2214.3–261.4 |
| 2085 | 227.6199.6–253.1 | 241.7216.6–264.8 |
| 2086 | 226.6195.1–261.8 | 240.9220–270.6 |
| 2087 | 223.9190.2–252.3 | 236.9208.4–262.9 |
| 2088 | 220.7193.8–260.3 | 236.9216.5–271.3 |
| 2089 | 225.9191.8–254.4 | 242.4215.5–267.5 |
| 2090 | 230.1192.8–254.7 | 242.1213.6–262.2 |
| 2091 | 228.4195.4–254.3 | 241.3218.9–266.5 |
| 2092 | 231.3198.8–255.9 | 245217.6–266.3 |
| 2093 | 228.4200.3–254.7 | 242.2219.3–262.9 |
| 2094 | 231.3201.1–255.7 | 245.1220.3–263.4 |
| 2095 | 232.7197.9–258.5 | 244.1218.8–266.6 |
| 2096 | 228.1200.4–255.1 | 241.9225.1–264.5 |
| 2097 | 226.8198.5–255.6 | 241.4218–265.6 |
| 2098 | 227.7194.7–253.8 | 240.8215.3–263.5 |
| 2099 | 232.1203.4–258.1 | 247.1221.7–265.4 |
| 2100 | 230.3201.6–261.3 | 242.2221.3–266.4 |
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
乍得与尼日尔对比
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军用
- 军费开支乍得:2025 年为 GDP 的 3.19%尼日尔:2025 年为 GDP 的 2.14%
- 军费开支(美元)乍得:2025 年为 US$5.98亿尼日尔:2025 年为 US$4.5亿
- 人均军费开支乍得:2025 年为 US$31尼日尔:2025 年为 US$18
- 军费占政府支出比例乍得:2025 年为 15.5%(占政府支出)尼日尔:2025 年为 15.2%(占政府支出)
- 武装部队人员乍得:2020 年为 45,000 人尼日尔:2020 年为 10,000 人
- 国家实力乍得:2022 年为 0.1%(占全球实力)尼日尔:2022 年为 0.11%(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)尼日尔:2020 年为 0.11%(占劳动力)
- 武器进口乍得:2025 年为 400万 TIV尼日尔:2025 年为 400万 TIV
- 武器出口乍得:1987 年为 2000万 TIV尼日尔:1973 年为 0 TIV