乍得与尼日尔对比
乍得与尼日尔:热带夜
2014 年热带夜:乍得为 237.6 夜,尼日尔为 221.6 夜(CMIP6 气候模型中位数模拟)。 2014 年乍得的数值较高,高出 16 夜,是尼日尔的 1.07 倍。
每年夜数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,乍得的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年乍得为 273.4 夜,尼日尔为 251.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 乍得 | 尼日尔 |
|---|---|---|
| 2014 | 237.6 | 221.6 |
| 2013 | 231.8 | 216.1 |
| 2012 | 237.9 | 220.8 |
| 2011 | 236.2 | 220.1 |
| 2010 | 234.8 | 219.1 |
| 2009 | 231.5 | 217.2 |
| 2008 | 230.8 | 216.8 |
| 2007 | 229.6 | 216.9 |
| 2006 | 229.5 | 214.3 |
| 2005 | 228.8 | 213.6 |
| 2004 | 228 | 213.6 |
| 2003 | 230.9 | 215.5 |
| 2002 | 229.8 | 214.6 |
| 2001 | 230.2 | 213.4 |
| 2000 | 226.4 | 211.2 |
| 1999 | 225.1 | 210.4 |
| 1998 | 222.9 | 207.7 |
| 1997 | 226.3 | 211.5 |
| 1996 | 222.4 | 208.6 |
| 1995 | 222.3 | 208.3 |
| 1994 | 221.4 | 207.8 |
| 1993 | 215.6 | 202.6 |
| 1992 | 214.4 | 203.4 |
| 1991 | 223 | 209.4 |
| 1990 | 222.8 | 208.1 |
| 1989 | 220 | 206 |
| 1988 | 219.9 | 203 |
| 1987 | 218.4 | 204.9 |
| 1986 | 222.6 | 206.8 |
| 1985 | 218 | 203.9 |
| 1984 | 216.1 | 201.8 |
| 1983 | 213.7 | 200.5 |
| 1982 | 214.8 | 201.9 |
| 1981 | 218.1 | 204.3 |
| 1980 | 215 | 200.6 |
| 1979 | 214.5 | 200.5 |
| 1978 | 216 | 202 |
| 1977 | 216.2 | 203.8 |
| 1976 | 215.7 | 201.7 |
| 1975 | 212.2 | 199 |
| 1974 | 213.8 | 200.6 |
| 1973 | 216.9 | 202.6 |
| 1972 | 215.2 | 200.7 |
| 1971 | 212.6 | 200.8 |
| 1970 | 214.3 | 199.8 |
| 1969 | 210.3 | 196.1 |
| 1968 | 212.8 | 200.3 |
| 1967 | 209.1 | 196.6 |
| 1966 | 210.8 | 198.2 |
| 1965 | 210.3 | 199 |
| 1964 | 210.6 | 199.2 |
| 1963 | 207.5 | 196.7 |
| 1962 | 214.7 | 201.1 |
| 1961 | 212.3 | 198.2 |
| 1960 | 217.3 | 203.2 |
| 1959 | 212.5 | 201.6 |
| 1958 | 213.8 | 199.2 |
| 1957 | 214 | 201.1 |
| 1956 | 213.4 | 199.6 |
| 1955 | 213.8 | 199.7 |
| 1954 | 214.3 | 201.1 |
| 1953 | 211.3 | 196.5 |
| 1952 | 213.1 | 197.9 |
| 1951 | 213.8 | 199.8 |
| 1950 | 213.1 | 200.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 乍得 | 尼日尔 |
|---|---|---|
| 2015 | 235.8215.6–253.1 | 218.8202.8–235.8 |
| 2016 | 233.3212.8–247.7 | 217.7201.8–230.6 |
| 2017 | 237.6218.6–253.1 | 222.4205.2–237.4 |
| 2018 | 235.8217.8–254.4 | 220.5206.3–238.8 |
| 2019 | 235.2213.3–255.6 | 219.1201.8–238.1 |
| 2020 | 237217.1–255 | 220.9206.9–234.7 |
| 2021 | 239.6220–258.2 | 222.8208.2–240.2 |
| 2022 | 240.4223.1–258.2 | 226.3209.7–239.2 |
| 2023 | 239.1216.7–256.4 | 223.2206.6–238.4 |
| 2024 | 246.7227.6–261.2 | 228.4214.3–242.9 |
| 2025 | 243.2223.9–259.4 | 226.7211.2–241 |
| 2026 | 242.9220.8–260.9 | 226.3210–243.1 |
| 2027 | 242.3221.2–258.6 | 228.5209.9–241.1 |
| 2028 | 242.7225.4–259.7 | 227.1211.9–240.2 |
| 2029 | 246.3227.2–264.1 | 230.4213.3–247.1 |
| 2030 | 244.7225.8–261.1 | 226.4211.6–242.2 |
| 2031 | 246.8224.7–264.8 | 230.1210.8–247.1 |
| 2032 | 244.3226.5–260.2 | 228.7212.3–241 |
| 2033 | 247.6228.7–266.1 | 229.9214.9–245.4 |
| 2034 | 247.8224.9–263.9 | 229.5212.1–244.9 |
| 2035 | 250.9230.3–268.9 | 232.3217.5–248 |
| 2036 | 246.7226.3–264.1 | 230.2213.7–244.6 |
| 2037 | 249.9230.3–266.2 | 233.2215.1–246.5 |
| 2038 | 252.4233.4–268.7 | 234.3218.2–249.7 |
| 2039 | 250230.8–267.5 | 231214.2–247.1 |
| 2040 | 248.9227–266.8 | 230.8214.8–247.5 |
| 2041 | 252230–270.9 | 232.6218.6–252.9 |
| 2042 | 250.4232–271.8 | 233.8216.2–250.5 |
| 2043 | 251.1232–265.5 | 232.5217.8–245.8 |
| 2044 | 251.4230.2–271.3 | 233.8218.2–250.1 |
| 2045 | 252.3230.8–270.2 | 233.6218.1–249.7 |
| 2046 | 253.6231.9–272.3 | 234.3217–250.2 |
| 2047 | 254.6236.7–274.4 | 238.4224.3–253.1 |
| 2048 | 254.4236.6–273.6 | 238221.4–254 |
| 2049 | 256235.4–272 | 237.7217.4–253 |
| 2050 | 255.9234.4–276.1 | 238.2220.7–254.5 |
| 2051 | 256.1237.8–275.9 | 236.3220.6–254.7 |
| 2052 | 258.3237.1–273.9 | 239.5224.3–255.8 |
| 2053 | 255.9234.9–275 | 236.3223.9–255.6 |
| 2054 | 260.6233–279.6 | 239.4220.2–257.9 |
| 2055 | 259.9239.1–276.6 | 238.6223.7–254.7 |
| 2056 | 259.4233.3–279 | 239214.7–260.3 |
| 2057 | 262.5240.8–278.4 | 240.4223–256.3 |
| 2058 | 259.3239.2–275.5 | 238.2220.2–255.7 |
| 2059 | 263.7240.5–282.9 | 243.9224.6–262.7 |
| 2060 | 259.3239.3–280 | 239.8222.6–260 |
| 2061 | 261.1240.7–281.2 | 242.5224.9–258.5 |
| 2062 | 261.4238.1–281.4 | 241.6222.4–259.8 |
| 2063 | 263.4239.6–278.6 | 241.3220.9–255.2 |
| 2064 | 263.9244.3–283.2 | 244.4225.9–259.5 |
| 2065 | 263.7247.7–283.1 | 242.8226.5–262.4 |
| 2066 | 265.2245.7–285.6 | 245.6227–263.5 |
| 2067 | 262.5242.8–283.8 | 240.7224.9–262 |
| 2068 | 266.8241.4–286.3 | 244224.3–265.4 |
| 2069 | 262.7242.8–283.1 | 243.9225.5–261.6 |
| 2070 | 264.9243.5–284.9 | 243.1225.6–261.3 |
| 2071 | 267.9248.5–286 | 246.1230.3–264 |
| 2072 | 269.2246.8–285.6 | 247.9229.9–263.7 |
| 2073 | 263.7241.6–284.2 | 243.4225.4–262.8 |
| 2074 | 264239.7–285.1 | 243.2224.4–264.6 |
| 2075 | 266.5246.7–287 | 244.3230.2–263.3 |
| 2076 | 267.8245.8–285.7 | 246.5228.5–266.6 |
| 2077 | 269.5247.1–290.8 | 250.1232.3–267.4 |
| 2078 | 268.6247.9–286.4 | 249.2230.8–264.5 |
| 2079 | 266.4247.9–286.3 | 244.4228.7–263.8 |
| 2080 | 269.4249.6–289.4 | 248.8230.4–267 |
| 2081 | 267.4247.1–291.8 | 247227.8–268.1 |
| 2082 | 266.7249.2–286.8 | 247230.6–264.4 |
| 2083 | 269.8248.9–287.6 | 247.3230.7–267.5 |
| 2084 | 268.4243.4–289.7 | 247.7229.4–265.2 |
| 2085 | 270.8251.2–287.4 | 248.9227–264.2 |
| 2086 | 270.6249.6–291.5 | 250.4230.9–269.5 |
| 2087 | 266.3246.2–289.2 | 245.8226.2–266.9 |
| 2088 | 269.2245.6–290.7 | 248.3226.7–271.1 |
| 2089 | 270.4251.1–289 | 251.9232.5–269.5 |
| 2090 | 270.9245.5–291.1 | 249.7227.7–267.4 |
| 2091 | 271.3246.1–293.5 | 248.9230.5–272.2 |
| 2092 | 270.6248.3–291.9 | 251229.8–274 |
| 2093 | 272.4254.3–289.2 | 249.9234.8–267 |
| 2094 | 274254.8–290.2 | 252.2234–267.5 |
| 2095 | 273.5251.8–291.6 | 251.1233–270.7 |
| 2096 | 273.9252.1–292.5 | 250.8234.8–270.4 |
| 2097 | 270.8246–292.1 | 250.2227.8–270.8 |
| 2098 | 271.1248.3–290.6 | 250.1228.1–268.5 |
| 2099 | 271.8250.5–291.1 | 251.9232.2–268.2 |
| 2100 | 273.4254–291.9 | 251.1234.5–271.5 |
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须知
- 一年中气温始终高于 20 °C 的夜晚数,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