乍得与莫桑比克对比
乍得与莫桑比克:热带夜
2014 年热带夜:乍得为 237.6 夜,莫桑比克为 186.3 夜(CMIP6 气候模型中位数模拟)。 2014 年乍得的数值较高,高出 51.3 夜,是莫桑比克的 1.28 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,莫桑比克为 254.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 乍得 | 莫桑比克 |
|---|---|---|
| 2014 | 237.6 | 186.3 |
| 2013 | 231.8 | 186.9 |
| 2012 | 237.9 | 185.2 |
| 2011 | 236.2 | 184.1 |
| 2010 | 234.8 | 182.2 |
| 2009 | 231.5 | 178.2 |
| 2008 | 230.8 | 176.8 |
| 2007 | 229.6 | 178.9 |
| 2006 | 229.5 | 177.4 |
| 2005 | 228.8 | 176.9 |
| 2004 | 228 | 181 |
| 2003 | 230.9 | 180 |
| 2002 | 229.8 | 177.1 |
| 2001 | 230.2 | 180.6 |
| 2000 | 226.4 | 173.6 |
| 1999 | 225.1 | 171.5 |
| 1998 | 222.9 | 174.1 |
| 1997 | 226.3 | 169.9 |
| 1996 | 222.4 | 164.7 |
| 1995 | 222.3 | 165.8 |
| 1994 | 221.4 | 163.1 |
| 1993 | 215.6 | 155.5 |
| 1992 | 214.4 | 156 |
| 1991 | 223 | 167.5 |
| 1990 | 222.8 | 170.2 |
| 1989 | 220 | 164 |
| 1988 | 219.9 | 166.4 |
| 1987 | 218.4 | 166 |
| 1986 | 222.6 | 166.6 |
| 1985 | 218 | 159.3 |
| 1984 | 216.1 | 161.1 |
| 1983 | 213.7 | 159.7 |
| 1982 | 214.8 | 160.6 |
| 1981 | 218.1 | 164.5 |
| 1980 | 215 | 161.9 |
| 1979 | 214.5 | 162.2 |
| 1978 | 216 | 160.2 |
| 1977 | 216.2 | 160.2 |
| 1976 | 215.7 | 157.4 |
| 1975 | 212.2 | 157.7 |
| 1974 | 213.8 | 159.1 |
| 1973 | 216.9 | 160.4 |
| 1972 | 215.2 | 157.6 |
| 1971 | 212.6 | 155.6 |
| 1970 | 214.3 | 159.7 |
| 1969 | 210.3 | 157.8 |
| 1968 | 212.8 | 153 |
| 1967 | 209.1 | 152.8 |
| 1966 | 210.8 | 152.5 |
| 1965 | 210.3 | 153.1 |
| 1964 | 210.6 | 145.9 |
| 1963 | 207.5 | 146.8 |
| 1962 | 214.7 | 158.5 |
| 1961 | 212.3 | 158.8 |
| 1960 | 217.3 | 160.6 |
| 1959 | 212.5 | 159.7 |
| 1958 | 213.8 | 159.5 |
| 1957 | 214 | 156.9 |
| 1956 | 213.4 | 153.4 |
| 1955 | 213.8 | 159.6 |
| 1954 | 214.3 | 155.4 |
| 1953 | 211.3 | 156.8 |
| 1952 | 213.1 | 156.6 |
| 1951 | 213.8 | 157.4 |
| 1950 | 213.1 | 156.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 乍得 | 莫桑比克 |
|---|---|---|
| 2015 | 235.8215.6–253.1 | 191170.1–212.1 |
| 2016 | 233.3212.8–247.7 | 187.6168.6–208.2 |
| 2017 | 237.6218.6–253.1 | 190.1169.4–210.1 |
| 2018 | 235.8217.8–254.4 | 189.8163.6–212.8 |
| 2019 | 235.2213.3–255.6 | 189.7171.9–208.8 |
| 2020 | 237217.1–255 | 191.3169–213.8 |
| 2021 | 239.6220–258.2 | 193.1172.7–212.9 |
| 2022 | 240.4223.1–258.2 | 199.9176.3–216.7 |
| 2023 | 239.1216.7–256.4 | 196.8176.4–217.3 |
| 2024 | 246.7227.6–261.2 | 199.7173.4–222.8 |
| 2025 | 243.2223.9–259.4 | 195.7173–219.1 |
| 2026 | 242.9220.8–260.9 | 197.7172.6–219.3 |
| 2027 | 242.3221.2–258.6 | 199.9177.9–221.8 |
| 2028 | 242.7225.4–259.7 | 202.5181.1–221.1 |
| 2029 | 246.3227.2–264.1 | 207.6187.3–227.3 |
| 2030 | 244.7225.8–261.1 | 203.6183.2–223.8 |
| 2031 | 246.8224.7–264.8 | 207.3188.7–225 |
| 2032 | 244.3226.5–260.2 | 207.4186.7–230.9 |
| 2033 | 247.6228.7–266.1 | 206.1180.7–226.1 |
| 2034 | 247.8224.9–263.9 | 206.3181.3–227.7 |
| 2035 | 250.9230.3–268.9 | 208.2184.1–233.6 |
| 2036 | 246.7226.3–264.1 | 208.3183.8–226.4 |
| 2037 | 249.9230.3–266.2 | 213.7191.8–234.3 |
| 2038 | 252.4233.4–268.7 | 218.4195.7–240.9 |
| 2039 | 250230.8–267.5 | 212.6192.3–233.5 |
| 2040 | 248.9227–266.8 | 212.7189–233.9 |
| 2041 | 252230–270.9 | 213.1187.1–238 |
| 2042 | 250.4232–271.8 | 214.9190.4–241.3 |
| 2043 | 251.1232–265.5 | 216196.2–238.9 |
| 2044 | 251.4230.2–271.3 | 220.2196.1–242.1 |
| 2045 | 252.3230.8–270.2 | 217.2198.6–237.6 |
| 2046 | 253.6231.9–272.3 | 224.4200.5–247.6 |
| 2047 | 254.6236.7–274.4 | 224.5201.3–246.3 |
| 2048 | 254.4236.6–273.6 | 225.7205–247.5 |
| 2049 | 256235.4–272 | 226.4199.2–247.8 |
| 2050 | 255.9234.4–276.1 | 225.5198.1–246.6 |
| 2051 | 256.1237.8–275.9 | 227.5206.2–248.7 |
| 2052 | 258.3237.1–273.9 | 230.5208.6–255.2 |
| 2053 | 255.9234.9–275 | 226.3200.4–250 |
| 2054 | 260.6233–279.6 | 227.8203.9–256.1 |
| 2055 | 259.9239.1–276.6 | 231.5208.3–254.4 |
| 2056 | 259.4233.3–279 | 227.8204.6–253.1 |
| 2057 | 262.5240.8–278.4 | 227.6205.7–252.2 |
| 2058 | 259.3239.2–275.5 | 230.2208.3–251.8 |
| 2059 | 263.7240.5–282.9 | 235.5212.5–261.4 |
| 2060 | 259.3239.3–280 | 237.5208.9–257.9 |
| 2061 | 261.1240.7–281.2 | 232.1204.8–256.1 |
| 2062 | 261.4238.1–281.4 | 233.2208.6–257.9 |
| 2063 | 263.4239.6–278.6 | 233.3207.3–261.6 |
| 2064 | 263.9244.3–283.2 | 234.6209.3–255.8 |
| 2065 | 263.7247.7–283.1 | 236208.7–261 |
| 2066 | 265.2245.7–285.6 | 239.4213.6–261.8 |
| 2067 | 262.5242.8–283.8 | 235.5205.9–259.4 |
| 2068 | 266.8241.4–286.3 | 237.7211–264.3 |
| 2069 | 262.7242.8–283.1 | 241.1212.2–263.4 |
| 2070 | 264.9243.5–284.9 | 240.7212.1–266 |
| 2071 | 267.9248.5–286 | 244.1214.3–272.8 |
| 2072 | 269.2246.8–285.6 | 244.7215.8–267.8 |
| 2073 | 263.7241.6–284.2 | 246214.2–267.6 |
| 2074 | 264239.7–285.1 | 242.2219.9–271.1 |
| 2075 | 266.5246.7–287 | 244.4215.6–267.9 |
| 2076 | 267.8245.8–285.7 | 240.8211–264.8 |
| 2077 | 269.5247.1–290.8 | 241.4214.7–272.4 |
| 2078 | 268.6247.9–286.4 | 245.4220.8–271.1 |
| 2079 | 266.4247.9–286.3 | 244.1214.3–276.4 |
| 2080 | 269.4249.6–289.4 | 246.1221–273.6 |
| 2081 | 267.4247.1–291.8 | 245.6214.5–268.1 |
| 2082 | 266.7249.2–286.8 | 246.9220.6–268.3 |
| 2083 | 269.8248.9–287.6 | 247.3217.4–276.4 |
| 2084 | 268.4243.4–289.7 | 248.5223.3–270.9 |
| 2085 | 270.8251.2–287.4 | 253.4221.5–277.6 |
| 2086 | 270.6249.6–291.5 | 242.9216.4–272.3 |
| 2087 | 266.3246.2–289.2 | 247.4222.8–271.3 |
| 2088 | 269.2245.6–290.7 | 253221.1–274.9 |
| 2089 | 270.4251.1–289 | 251.6221.9–277.3 |
| 2090 | 270.9245.5–291.1 | 249.9218.6–277.9 |
| 2091 | 271.3246.1–293.5 | 253.2221.4–280.8 |
| 2092 | 270.6248.3–291.9 | 252.7221.5–279.5 |
| 2093 | 272.4254.3–289.2 | 256221.7–279.4 |
| 2094 | 274254.8–290.2 | 251.8221–280.3 |
| 2095 | 273.5251.8–291.6 | 255.6225.8–278.1 |
| 2096 | 273.9252.1–292.5 | 254.7225.8–280.4 |
| 2097 | 270.8246–292.1 | 253.2221.8–281.6 |
| 2098 | 271.1248.3–290.6 | 256.1225.2–279.6 |
| 2099 | 271.8250.5–291.1 | 254.9223.4–278.7 |
| 2100 | 273.4254–291.9 | 254.4226.1–279.1 |
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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
乍得与莫桑比克对比
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军用
- 军费开支乍得:2025 年为 GDP 的 3.19%莫桑比克:2025 年为 GDP 的 1.87%
- 军费开支(美元)乍得:2025 年为 US$5.98亿莫桑比克:2025 年为 US$4.46亿
- 人均军费开支乍得:2025 年为 US$31莫桑比克:2025 年为 US$13
- 军费占政府支出比例乍得:2025 年为 15.5%(占政府支出)莫桑比克:2025 年为 6%(占政府支出)
- 武装部队人员乍得:2020 年为 45,000 人莫桑比克:2020 年为 11,000 人
- 国家实力乍得:2022 年为 0.1%(占全球实力)莫桑比克:2022 年为 0.13%(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)莫桑比克:2020 年为 0.08%(占劳动力)
- 武器进口乍得:2025 年为 400万 TIV莫桑比克:2025 年为 1400万 TIV
- 武器出口乍得:1987 年为 2000万 TIV莫桑比克:1977 年为 100万 TIV