马达加斯加与乌干达对比
马达加斯加与乌干达:热带夜
2014 年热带夜:马达加斯加为 138.3 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年马达加斯加的数值较高,高出 13.6 夜,是乌干达的 1.11 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,马达加斯加的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年马达加斯加为 198.5 夜,乌干达为 245.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 马达加斯加 | 乌干达 |
|---|---|---|
| 2014 | 138.3 | 124.7 |
| 2013 | 138 | 124 |
| 2012 | 138.3 | 122.2 |
| 2011 | 136.8 | 125.7 |
| 2010 | 134.2 | 122.5 |
| 2009 | 133.5 | 114.8 |
| 2008 | 132.3 | 114.1 |
| 2007 | 133.1 | 111.2 |
| 2006 | 131.6 | 117.4 |
| 2005 | 130.3 | 113.8 |
| 2004 | 133.5 | 114.6 |
| 2003 | 131 | 114.4 |
| 2002 | 131.8 | 114.4 |
| 2001 | 131.7 | 117.1 |
| 2000 | 127.4 | 109 |
| 1999 | 128.4 | 105.5 |
| 1998 | 128.6 | 105 |
| 1997 | 125.3 | 106.1 |
| 1996 | 121.8 | 102.1 |
| 1995 | 123.3 | 99.9 |
| 1994 | 121.8 | 94.6 |
| 1993 | 116 | 90.8 |
| 1992 | 116.6 | 89.9 |
| 1991 | 124.9 | 102.1 |
| 1990 | 126.2 | 103.8 |
| 1989 | 124 | 99.1 |
| 1988 | 123.8 | 98.6 |
| 1987 | 122.8 | 98.3 |
| 1986 | 123.8 | 99.2 |
| 1985 | 120 | 92.1 |
| 1984 | 118.6 | 94.6 |
| 1983 | 116.5 | 90.4 |
| 1982 | 121.8 | 94.4 |
| 1981 | 122.1 | 98.5 |
| 1980 | 120.3 | 96.3 |
| 1979 | 120.7 | 93.9 |
| 1978 | 119.3 | 91 |
| 1977 | 119 | 95.1 |
| 1976 | 117.4 | 92 |
| 1975 | 116.5 | 89.6 |
| 1974 | 119.5 | 91.8 |
| 1973 | 119 | 92.8 |
| 1972 | 117 | 90 |
| 1971 | 116.3 | 87.1 |
| 1970 | 117 | 88.8 |
| 1969 | 116.3 | 88 |
| 1968 | 113.1 | 87.3 |
| 1967 | 113 | 82.3 |
| 1966 | 114.1 | 82.5 |
| 1965 | 112.2 | 82.2 |
| 1964 | 109.6 | 78.2 |
| 1963 | 109.7 | 80.3 |
| 1962 | 115.3 | 88.5 |
| 1961 | 118.5 | 90.7 |
| 1960 | 118.2 | 93.2 |
| 1959 | 119 | 91.3 |
| 1958 | 118.7 | 88.7 |
| 1957 | 117.6 | 90.1 |
| 1956 | 115.5 | 88.8 |
| 1955 | 116.6 | 89 |
| 1954 | 115.9 | 89.5 |
| 1953 | 116.4 | 89 |
| 1952 | 117.4 | 89.6 |
| 1951 | 116 | 91.1 |
| 1950 | 116.3 | 87.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 马达加斯加 | 乌干达 |
|---|---|---|
| 2015 | 142.8126.7–159.3 | 131.598.6–164.1 |
| 2016 | 137.8122.2–156 | 12398.5–154.1 |
| 2017 | 143.1125.6–159.4 | 133.7108.6–162.7 |
| 2018 | 143.7125.9–160.3 | 134.2102.5–164 |
| 2019 | 143.4124.4–162.3 | 131.3104.8–166.2 |
| 2020 | 143.4125.2–159 | 140.7102.6–171.5 |
| 2021 | 145.4128.8–160.4 | 137.9112.9–175.4 |
| 2022 | 150.4133.4–165.2 | 140116.2–169.9 |
| 2023 | 149.7132.1–166 | 140.4114.2–184.8 |
| 2024 | 150.7131.4–167.9 | 151.1113.5–186.7 |
| 2025 | 149128.8–169.1 | 143108.5–176.4 |
| 2026 | 150.1127.4–169.9 | 144.6109.7–179.6 |
| 2027 | 151.8131.9–170.8 | 147.6116–175.4 |
| 2028 | 154.9137.7–173.1 | 151.6120.2–179.6 |
| 2029 | 155.7135.2–173.8 | 155.2127.3–178.6 |
| 2030 | 154.8136.4–171.3 | 150.4117.6–185.1 |
| 2031 | 158.1141.3–174.8 | 161.6132–187.2 |
| 2032 | 157.9136.2–178.4 | 159.1134.2–190.5 |
| 2033 | 158.9136.7–177.8 | 158.9123.4–200.6 |
| 2034 | 158.6140.6–179.6 | 161.5135.6–202.5 |
| 2035 | 161.1140.2–181.6 | 164.9126.3–193 |
| 2036 | 159.5139.4–177.1 | 158.5127.7–195.4 |
| 2037 | 165.8144.7–182.8 | 168.3138.2–207.3 |
| 2038 | 166.5149.3–183.9 | 173.8139.7–206.2 |
| 2039 | 164.1145.1–183.9 | 171.2130.1–205 |
| 2040 | 162.8144.5–184.8 | 170.4134.1–207.4 |
| 2041 | 165.8143.5–183.9 | 176.3144.6–208 |
| 2042 | 165.1144.3–188.4 | 175137.8–214.3 |
| 2043 | 165.6148.5–184.7 | 173.6132.8–207.6 |
| 2044 | 167.3145.8–187 | 176.1136.8–206.9 |
| 2045 | 166.9147.1–187.1 | 178.9138.3–217.7 |
| 2046 | 171.4149.6–193 | 191.9136.6–235 |
| 2047 | 171.7148.8–193.4 | 187.7156.6–225.3 |
| 2048 | 173.7151.7–193.6 | 189.3151.5–227.4 |
| 2049 | 172.2151.4–192.9 | 195.1154.9–233.6 |
| 2050 | 174.4150.5–193.6 | 191150.7–236.4 |
| 2051 | 175154.3–195.1 | 191.2154.4–228.2 |
| 2052 | 176153.8–196.7 | 192.6157.7–231.7 |
| 2053 | 176.6151.1–197.8 | 194.5149.7–233.5 |
| 2054 | 175.5152.8–199.2 | 199156.3–236.8 |
| 2055 | 179.2157.3–196.8 | 201.3151.7–240.7 |
| 2056 | 178.8156.5–199.7 | 198.9156.9–240.2 |
| 2057 | 177.7155.5–201 | 200165.5–244.7 |
| 2058 | 180.5158.9–202.4 | 208.8156.5–248.3 |
| 2059 | 181.8158.3–202.5 | 212.7171.1–254 |
| 2060 | 185.1159.5–207.8 | 212.6160.3–253.1 |
| 2061 | 180.6157.6–203.8 | 208.9162.4–258.1 |
| 2062 | 180.6157.1–205.6 | 206.4159.1–267.6 |
| 2063 | 185156.8–210.7 | 209.3168.5–246.3 |
| 2064 | 184.7159.1–205.7 | 210.6166.2–253.8 |
| 2065 | 183.8157.1–208.5 | 214.5167.8–261.1 |
| 2066 | 187.3159.6–211 | 211.9171.8–256.1 |
| 2067 | 184.9155.9–208.9 | 208.4168.3–269.8 |
| 2068 | 187.5161.7–211.1 | 216.4169.7–268.7 |
| 2069 | 187.5162–211.3 | 213170.3–268.1 |
| 2070 | 187.8160.4–213.6 | 216.4176.4–270.9 |
| 2071 | 190.7162.7–216.6 | 215.5174.6–273.5 |
| 2072 | 191.8168.2–215.8 | 227.3184.1–272.3 |
| 2073 | 191.4168.7–214.5 | 230.4189.3–278.5 |
| 2074 | 189.4162.6–217.7 | 220.7176.9–277 |
| 2075 | 189.3163.8–214.2 | 217.7167–274.2 |
| 2076 | 191.1164.3–214 | 228.1178.9–279 |
| 2077 | 191.9168.8–217.1 | 229.5189.6–280.5 |
| 2078 | 190.1166.5–219.3 | 225.6187.8–276.4 |
| 2079 | 190.1163.7–216.2 | 231.9168.8–277.7 |
| 2080 | 194.8167.7–219.4 | 232.8182.6–283.1 |
| 2081 | 191.7166.7–218.1 | 227.9187.6–279.3 |
| 2082 | 193.8169.2–216.7 | 233.1185.6–279.4 |
| 2083 | 194.6166.1–218.1 | 232.2175.7–297 |
| 2084 | 197.9170–219.7 | 237.2185.5–288.8 |
| 2085 | 197.8172.3–223.7 | 239.5192.4–291.7 |
| 2086 | 192.9169.6–220 | 236.2189.8–289.4 |
| 2087 | 195.2170.4–220.1 | 239.4188.9–294 |
| 2088 | 198.1165.1–225.5 | 236.8193.6–288.9 |
| 2089 | 196.3167.9–227.6 | 238.8193.8–293.7 |
| 2090 | 197.5172.4–228.1 | 237.7190.1–301.5 |
| 2091 | 199.2172.7–226.7 | 251188.7–300.1 |
| 2092 | 202.4170.7–226.6 | 243.4194.9–297.8 |
| 2093 | 202.1172.3–230.5 | 244.4199.2–296.8 |
| 2094 | 198.3168.6–224 | 245.6202.9–299.8 |
| 2095 | 200.7171.7–225.1 | 253.2202.4–306.1 |
| 2096 | 199.8173.6–226.3 | 241.4196.5–304 |
| 2097 | 201.2170–227.6 | 243.1194–296.6 |
| 2098 | 201.1170.7–227.2 | 242.9199–302.3 |
| 2099 | 198.3173.8–225.8 | 247.3194.4–306.1 |
| 2100 | 198.5173.3–227.7 | 245.3195.5–307.2 |
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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
马达加斯加与乌干达对比
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冲突
军用
- 军费开支马达加斯加:2025 年为 GDP 的 0.62%乌干达:2025 年为 GDP 的 1.96%
- 军费开支(美元)马达加斯加:2025 年为 US$1.11亿乌干达:2025 年为 US$12亿
- 人均军费开支马达加斯加:2025 年为 US$4乌干达:2025 年为 US$26
- 军费占政府支出比例马达加斯加:2025 年为 3.8%(占政府支出)乌干达:2025 年为 9%(占政府支出)
- 武装部队人员马达加斯加:2020 年为 22,000 人乌干达:2020 年为 46,000 人
- 国家实力马达加斯加:2022 年为 0.11%(占全球实力)乌干达:2022 年为 0.2%(占全球实力)
- 武装部队占劳动力比例马达加斯加:2020 年为 0.15%(占劳动力)乌干达:2020 年为 0.24%(占劳动力)
- 武器进口马达加斯加:2025 年为 300万 TIV乌干达:2025 年为 200万 TIV