莫桑比克与尼日尔对比
莫桑比克与尼日尔:热带夜
2014 年热带夜:莫桑比克为 186.3 夜,尼日尔为 221.6 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日尔的数值较高,高出 35.3 夜,是莫桑比克的 1.19 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,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 年莫桑比克为 254.4 夜,尼日尔为 251.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 莫桑比克 | 尼日尔 |
|---|---|---|
| 2014 | 186.3 | 221.6 |
| 2013 | 186.9 | 216.1 |
| 2012 | 185.2 | 220.8 |
| 2011 | 184.1 | 220.1 |
| 2010 | 182.2 | 219.1 |
| 2009 | 178.2 | 217.2 |
| 2008 | 176.8 | 216.8 |
| 2007 | 178.9 | 216.9 |
| 2006 | 177.4 | 214.3 |
| 2005 | 176.9 | 213.6 |
| 2004 | 181 | 213.6 |
| 2003 | 180 | 215.5 |
| 2002 | 177.1 | 214.6 |
| 2001 | 180.6 | 213.4 |
| 2000 | 173.6 | 211.2 |
| 1999 | 171.5 | 210.4 |
| 1998 | 174.1 | 207.7 |
| 1997 | 169.9 | 211.5 |
| 1996 | 164.7 | 208.6 |
| 1995 | 165.8 | 208.3 |
| 1994 | 163.1 | 207.8 |
| 1993 | 155.5 | 202.6 |
| 1992 | 156 | 203.4 |
| 1991 | 167.5 | 209.4 |
| 1990 | 170.2 | 208.1 |
| 1989 | 164 | 206 |
| 1988 | 166.4 | 203 |
| 1987 | 166 | 204.9 |
| 1986 | 166.6 | 206.8 |
| 1985 | 159.3 | 203.9 |
| 1984 | 161.1 | 201.8 |
| 1983 | 159.7 | 200.5 |
| 1982 | 160.6 | 201.9 |
| 1981 | 164.5 | 204.3 |
| 1980 | 161.9 | 200.6 |
| 1979 | 162.2 | 200.5 |
| 1978 | 160.2 | 202 |
| 1977 | 160.2 | 203.8 |
| 1976 | 157.4 | 201.7 |
| 1975 | 157.7 | 199 |
| 1974 | 159.1 | 200.6 |
| 1973 | 160.4 | 202.6 |
| 1972 | 157.6 | 200.7 |
| 1971 | 155.6 | 200.8 |
| 1970 | 159.7 | 199.8 |
| 1969 | 157.8 | 196.1 |
| 1968 | 153 | 200.3 |
| 1967 | 152.8 | 196.6 |
| 1966 | 152.5 | 198.2 |
| 1965 | 153.1 | 199 |
| 1964 | 145.9 | 199.2 |
| 1963 | 146.8 | 196.7 |
| 1962 | 158.5 | 201.1 |
| 1961 | 158.8 | 198.2 |
| 1960 | 160.6 | 203.2 |
| 1959 | 159.7 | 201.6 |
| 1958 | 159.5 | 199.2 |
| 1957 | 156.9 | 201.1 |
| 1956 | 153.4 | 199.6 |
| 1955 | 159.6 | 199.7 |
| 1954 | 155.4 | 201.1 |
| 1953 | 156.8 | 196.5 |
| 1952 | 156.6 | 197.9 |
| 1951 | 157.4 | 199.8 |
| 1950 | 156.3 | 200.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 莫桑比克 | 尼日尔 |
|---|---|---|
| 2015 | 191170.1–212.1 | 218.8202.8–235.8 |
| 2016 | 187.6168.6–208.2 | 217.7201.8–230.6 |
| 2017 | 190.1169.4–210.1 | 222.4205.2–237.4 |
| 2018 | 189.8163.6–212.8 | 220.5206.3–238.8 |
| 2019 | 189.7171.9–208.8 | 219.1201.8–238.1 |
| 2020 | 191.3169–213.8 | 220.9206.9–234.7 |
| 2021 | 193.1172.7–212.9 | 222.8208.2–240.2 |
| 2022 | 199.9176.3–216.7 | 226.3209.7–239.2 |
| 2023 | 196.8176.4–217.3 | 223.2206.6–238.4 |
| 2024 | 199.7173.4–222.8 | 228.4214.3–242.9 |
| 2025 | 195.7173–219.1 | 226.7211.2–241 |
| 2026 | 197.7172.6–219.3 | 226.3210–243.1 |
| 2027 | 199.9177.9–221.8 | 228.5209.9–241.1 |
| 2028 | 202.5181.1–221.1 | 227.1211.9–240.2 |
| 2029 | 207.6187.3–227.3 | 230.4213.3–247.1 |
| 2030 | 203.6183.2–223.8 | 226.4211.6–242.2 |
| 2031 | 207.3188.7–225 | 230.1210.8–247.1 |
| 2032 | 207.4186.7–230.9 | 228.7212.3–241 |
| 2033 | 206.1180.7–226.1 | 229.9214.9–245.4 |
| 2034 | 206.3181.3–227.7 | 229.5212.1–244.9 |
| 2035 | 208.2184.1–233.6 | 232.3217.5–248 |
| 2036 | 208.3183.8–226.4 | 230.2213.7–244.6 |
| 2037 | 213.7191.8–234.3 | 233.2215.1–246.5 |
| 2038 | 218.4195.7–240.9 | 234.3218.2–249.7 |
| 2039 | 212.6192.3–233.5 | 231214.2–247.1 |
| 2040 | 212.7189–233.9 | 230.8214.8–247.5 |
| 2041 | 213.1187.1–238 | 232.6218.6–252.9 |
| 2042 | 214.9190.4–241.3 | 233.8216.2–250.5 |
| 2043 | 216196.2–238.9 | 232.5217.8–245.8 |
| 2044 | 220.2196.1–242.1 | 233.8218.2–250.1 |
| 2045 | 217.2198.6–237.6 | 233.6218.1–249.7 |
| 2046 | 224.4200.5–247.6 | 234.3217–250.2 |
| 2047 | 224.5201.3–246.3 | 238.4224.3–253.1 |
| 2048 | 225.7205–247.5 | 238221.4–254 |
| 2049 | 226.4199.2–247.8 | 237.7217.4–253 |
| 2050 | 225.5198.1–246.6 | 238.2220.7–254.5 |
| 2051 | 227.5206.2–248.7 | 236.3220.6–254.7 |
| 2052 | 230.5208.6–255.2 | 239.5224.3–255.8 |
| 2053 | 226.3200.4–250 | 236.3223.9–255.6 |
| 2054 | 227.8203.9–256.1 | 239.4220.2–257.9 |
| 2055 | 231.5208.3–254.4 | 238.6223.7–254.7 |
| 2056 | 227.8204.6–253.1 | 239214.7–260.3 |
| 2057 | 227.6205.7–252.2 | 240.4223–256.3 |
| 2058 | 230.2208.3–251.8 | 238.2220.2–255.7 |
| 2059 | 235.5212.5–261.4 | 243.9224.6–262.7 |
| 2060 | 237.5208.9–257.9 | 239.8222.6–260 |
| 2061 | 232.1204.8–256.1 | 242.5224.9–258.5 |
| 2062 | 233.2208.6–257.9 | 241.6222.4–259.8 |
| 2063 | 233.3207.3–261.6 | 241.3220.9–255.2 |
| 2064 | 234.6209.3–255.8 | 244.4225.9–259.5 |
| 2065 | 236208.7–261 | 242.8226.5–262.4 |
| 2066 | 239.4213.6–261.8 | 245.6227–263.5 |
| 2067 | 235.5205.9–259.4 | 240.7224.9–262 |
| 2068 | 237.7211–264.3 | 244224.3–265.4 |
| 2069 | 241.1212.2–263.4 | 243.9225.5–261.6 |
| 2070 | 240.7212.1–266 | 243.1225.6–261.3 |
| 2071 | 244.1214.3–272.8 | 246.1230.3–264 |
| 2072 | 244.7215.8–267.8 | 247.9229.9–263.7 |
| 2073 | 246214.2–267.6 | 243.4225.4–262.8 |
| 2074 | 242.2219.9–271.1 | 243.2224.4–264.6 |
| 2075 | 244.4215.6–267.9 | 244.3230.2–263.3 |
| 2076 | 240.8211–264.8 | 246.5228.5–266.6 |
| 2077 | 241.4214.7–272.4 | 250.1232.3–267.4 |
| 2078 | 245.4220.8–271.1 | 249.2230.8–264.5 |
| 2079 | 244.1214.3–276.4 | 244.4228.7–263.8 |
| 2080 | 246.1221–273.6 | 248.8230.4–267 |
| 2081 | 245.6214.5–268.1 | 247227.8–268.1 |
| 2082 | 246.9220.6–268.3 | 247230.6–264.4 |
| 2083 | 247.3217.4–276.4 | 247.3230.7–267.5 |
| 2084 | 248.5223.3–270.9 | 247.7229.4–265.2 |
| 2085 | 253.4221.5–277.6 | 248.9227–264.2 |
| 2086 | 242.9216.4–272.3 | 250.4230.9–269.5 |
| 2087 | 247.4222.8–271.3 | 245.8226.2–266.9 |
| 2088 | 253221.1–274.9 | 248.3226.7–271.1 |
| 2089 | 251.6221.9–277.3 | 251.9232.5–269.5 |
| 2090 | 249.9218.6–277.9 | 249.7227.7–267.4 |
| 2091 | 253.2221.4–280.8 | 248.9230.5–272.2 |
| 2092 | 252.7221.5–279.5 | 251229.8–274 |
| 2093 | 256221.7–279.4 | 249.9234.8–267 |
| 2094 | 251.8221–280.3 | 252.2234–267.5 |
| 2095 | 255.6225.8–278.1 | 251.1233–270.7 |
| 2096 | 254.7225.8–280.4 | 250.8234.8–270.4 |
| 2097 | 253.2221.8–281.6 | 250.2227.8–270.8 |
| 2098 | 256.1225.2–279.6 | 250.1228.1–268.5 |
| 2099 | 254.9223.4–278.7 | 251.9232.2–268.2 |
| 2100 | 254.4226.1–279.1 | 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
莫桑比克与尼日尔对比
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军用
- 军费开支莫桑比克:2025 年为 GDP 的 1.87%尼日尔:2025 年为 GDP 的 2.14%
- 军费开支(美元)莫桑比克:2025 年为 US$4.46亿尼日尔:2025 年为 US$4.5亿
- 人均军费开支莫桑比克:2025 年为 US$13尼日尔:2025 年为 US$18
- 军费占政府支出比例莫桑比克:2025 年为 6%(占政府支出)尼日尔:2025 年为 15.2%(占政府支出)
- 武装部队人员莫桑比克:2020 年为 11,000 人尼日尔:2020 年为 10,000 人
- 国家实力莫桑比克:2022 年为 0.13%(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莫桑比克:2020 年为 0.08%(占劳动力)尼日尔:2020 年为 0.11%(占劳动力)
- 武器进口莫桑比克:2025 年为 1400万 TIV尼日尔:2025 年为 400万 TIV
- 武器出口莫桑比克:1977 年为 100万 TIV尼日尔:1973 年为 0 TIV