德国与坦桑尼亚对比
德国与坦桑尼亚:热带夜
2014 年热带夜:德国为 0.8 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年坦桑尼亚的数值较高,高出 105.5 夜,是德国的 130 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,坦桑尼亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年德国为 8.8 夜,坦桑尼亚为 208 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 德国 | 坦桑尼亚 |
|---|---|---|
| 2014 | 0.8 | 106.3 |
| 2013 | 0.7 | 105.5 |
| 2012 | 0.9 | 108.4 |
| 2011 | 0.5 | 109 |
| 2010 | 0.9 | 103.9 |
| 2009 | 0.5 | 101.1 |
| 2008 | 0.2 | 100.3 |
| 2007 | 0.3 | 99.5 |
| 2006 | 0.3 | 100.4 |
| 2005 | 0.6 | 98.7 |
| 2004 | 0.7 | 100.4 |
| 2003 | 0.6 | 99.6 |
| 2002 | 0.2 | 98.4 |
| 2001 | 0.5 | 101.5 |
| 2000 | 0.2 | 94.9 |
| 1999 | 0.2 | 94.2 |
| 1998 | 0.1 | 96.8 |
| 1997 | 0.1 | 93.5 |
| 1996 | 0.2 | 89.6 |
| 1995 | 0.1 | 88.5 |
| 1994 | 0 | 85.4 |
| 1993 | 0 | 81.2 |
| 1992 | 0 | 80.1 |
| 1991 | 0.1 | 89.6 |
| 1990 | 0.1 | 91.1 |
| 1989 | 0.1 | 89.1 |
| 1988 | 0 | 87.6 |
| 1987 | 0 | 88.5 |
| 1986 | 0 | 89.4 |
| 1985 | 0.1 | 83 |
| 1984 | 0.1 | 83.1 |
| 1983 | 0 | 82.1 |
| 1982 | 0 | 84.8 |
| 1981 | 0 | 88 |
| 1980 | 0 | 85 |
| 1979 | 0 | 85.5 |
| 1978 | 0.1 | 82.9 |
| 1977 | 0 | 84.1 |
| 1976 | 0 | 81 |
| 1975 | 0 | 80.8 |
| 1974 | 0.1 | 82.2 |
| 1973 | 0 | 83.6 |
| 1972 | 0 | 81.4 |
| 1971 | 0 | 80.7 |
| 1970 | 0.1 | 81.8 |
| 1969 | 0 | 79.5 |
| 1968 | 0 | 79.1 |
| 1967 | 0 | 77.5 |
| 1966 | 0 | 78.1 |
| 1965 | 0 | 78 |
| 1964 | 0 | 73.8 |
| 1963 | 0 | 73.1 |
| 1962 | 0 | 81.1 |
| 1961 | 0 | 82.6 |
| 1960 | 0 | 83.9 |
| 1959 | 0.1 | 81.4 |
| 1958 | 0 | 82.1 |
| 1957 | 0 | 80.9 |
| 1956 | 0 | 80 |
| 1955 | 0 | 81.6 |
| 1954 | 0.1 | 81.4 |
| 1953 | 0 | 80.6 |
| 1952 | 0 | 81.4 |
| 1951 | 0 | 82.1 |
| 1950 | 0 | 80.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 德国 | 坦桑尼亚 |
|---|---|---|
| 2015 | 0.50–4 | 114.895.2–137.4 |
| 2016 | 0.80–4.3 | 108.391.6–125.6 |
| 2017 | 0.70–5.1 | 114.893.6–137.8 |
| 2018 | 0.70–3.5 | 116.497.4–137.1 |
| 2019 | 1.20–5 | 113.495.2–133.2 |
| 2020 | 1.20–5.7 | 119.396.2–143.5 |
| 2021 | 10–6 | 119.5100.9–147.1 |
| 2022 | 1.40–5.7 | 124.4105.3–147.4 |
| 2023 | 1.10–5.7 | 122.1102.1–147.8 |
| 2024 | 1.20–5.2 | 126.2100–150.1 |
| 2025 | 1.90–8.2 | 124.6100.9–154 |
| 2026 | 1.90.1–6.5 | 126.999.1–155.6 |
| 2027 | 1.40–4.7 | 128102.9–147.7 |
| 2028 | 1.50.1–5.5 | 129.9106.4–152.1 |
| 2029 | 20.1–6.4 | 134.1111–156.5 |
| 2030 | 1.60–6.1 | 129.4106.4–151.1 |
| 2031 | 1.40–5.4 | 136.4115.9–158.4 |
| 2032 | 1.50.1–7.6 | 135.1114–166.8 |
| 2033 | 1.70–6.8 | 135.2110.9–161.9 |
| 2034 | 2.10.2–8.3 | 134.7112.5–166.3 |
| 2035 | 1.70.1–6.9 | 140.2114.6–165 |
| 2036 | 2.80.1–7.8 | 137.8113.3–165.5 |
| 2037 | 2.50–9.2 | 142.9121.5–168.9 |
| 2038 | 2.20.1–9.7 | 147.9124.3–169.3 |
| 2039 | 30–8.9 | 144.3117.6–171.3 |
| 2040 | 2.30.1–7.1 | 140.5117–178 |
| 2041 | 2.40.1–7.9 | 149.1121.7–175.6 |
| 2042 | 2.90.4–8.9 | 146.3120.5–185.3 |
| 2043 | 3.10.1–8.7 | 144.6117–173 |
| 2044 | 3.10.2–10.1 | 147.7121.2–175.8 |
| 2045 | 30.1–8.7 | 150.1125.2–183.4 |
| 2046 | 3.10.5–10.9 | 161.5128.6–192.2 |
| 2047 | 4.30.3–10.6 | 160.2129.7–194.4 |
| 2048 | 3.70.2–12.9 | 158.8132.7–193.1 |
| 2049 | 4.40.2–11.8 | 157.6131.1–196 |
| 2050 | 3.10.6–9.3 | 159.7127.8–192 |
| 2051 | 2.70.1–9.5 | 163.2135.5–197.8 |
| 2052 | 3.60.2–11.5 | 161.9136.2–199.1 |
| 2053 | 2.30.4–8.7 | 160.6127.5–197.7 |
| 2054 | 3.50.4–10.3 | 163.2131.5–200.2 |
| 2055 | 3.30.4–11.3 | 167.4137–208.3 |
| 2056 | 4.50.7–14.3 | 166.4130.8–209.7 |
| 2057 | 40.4–11.3 | 168134.6–208.3 |
| 2058 | 5.80.7–15.5 | 168.7134.9–210.3 |
| 2059 | 5.10.1–15.6 | 174.7144.9–219.5 |
| 2060 | 4.40.6–12.3 | 181.7138.1–219.8 |
| 2061 | 5.31–12.3 | 171.8135.5–218.1 |
| 2062 | 5.51.6–14.2 | 177.5139.9–224 |
| 2063 | 5.20.8–13.8 | 181.4140.1–213.8 |
| 2064 | 4.10.5–12.2 | 185.3140.1–215.2 |
| 2065 | 4.90.3–15.8 | 183.5141.1–221.8 |
| 2066 | 5.30.7–11.8 | 181.9146.3–219.3 |
| 2067 | 7.21.4–17.5 | 178.8138.8–229.2 |
| 2068 | 3.90.9–11.3 | 186144.2–228.4 |
| 2069 | 6.11.6–15 | 183.7141.7–225.3 |
| 2070 | 5.80.6–14.9 | 180.7140.4–228.2 |
| 2071 | 6.30.6–16.4 | 184.9146.9–235.2 |
| 2072 | 6.21.9–13 | 191.3155–226.1 |
| 2073 | 5.51.3–16.2 | 191.6152.4–235.6 |
| 2074 | 5.50.5–16.7 | 183.3149.7–231.7 |
| 2075 | 6.21.4–18.3 | 183.8144.8–233 |
| 2076 | 7.41.1–20.1 | 191.1150.9–233.2 |
| 2077 | 6.31.1–17.4 | 191.3152.6–238.2 |
| 2078 | 6.50.7–21.4 | 189156.6–233.8 |
| 2079 | 6.70.6–22.7 | 190.5147–237.3 |
| 2080 | 6.51.2–14.9 | 197.3150.7–241.2 |
| 2081 | 6.60.9–18.5 | 195.6153.4–237.4 |
| 2082 | 7.91.4–22.5 | 194.5157.3–237.3 |
| 2083 | 7.61.3–16.8 | 193.2151–249.8 |
| 2084 | 5.91.1–15.9 | 201.1152.2–246.7 |
| 2085 | 6.50.9–17.6 | 204.2162.3–252.3 |
| 2086 | 7.90.8–23 | 195156–248.7 |
| 2087 | 9.91.1–24.1 | 196.7160.8–244.5 |
| 2088 | 8.92–18.4 | 208.4154.7–246.9 |
| 2089 | 8.31.9–19.2 | 201.3158.6–248.2 |
| 2090 | 6.20.8–24.1 | 197.9160.7–253.6 |
| 2091 | 9.31.3–23.5 | 210161.6–256 |
| 2092 | 8.61.7–19.2 | 205.8158.3–253.6 |
| 2093 | 6.20.8–18.2 | 207.2161.2–251.9 |
| 2094 | 9.32.4–20.4 | 207.9161.3–250.6 |
| 2095 | 9.51.1–24 | 214.2166.4–258.5 |
| 2096 | 8.10.2–21.4 | 205.3159.8–257.4 |
| 2097 | 6.40.5–20.1 | 206.6158.4–256.8 |
| 2098 | 9.31.4–22.1 | 209.1161–258.3 |
| 2099 | 8.11.4–20.8 | 208.5160.1–256 |
| 2100 | 8.81.9–21.1 | 208158.6–258.6 |
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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
德国与坦桑尼亚对比
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军用
- 军费开支德国:2025 年为 GDP 的 2.27%坦桑尼亚:2025 年为 GDP 的 1.16%
- 军费开支(美元)德国:2025 年为 US$1070亿坦桑尼亚:2025 年为 US$9.83亿
- 人均军费开支德国:2025 年为 US$1,346坦桑尼亚:2025 年为 US$15
- 军费占政府支出比例德国:2025 年为 4.5%(占政府支出)坦桑尼亚:2025 年为 5.8%(占政府支出)
- 武装部队人员德国:2020 年为 183,000 人坦桑尼亚:2020 年为 28,000 人
- 国家实力德国:2022 年为 1.5%(占全球实力)坦桑尼亚:2022 年为 0.25%(占全球实力)
- 武装部队占劳动力比例德国:2020 年为 0.42%(占劳动力)坦桑尼亚:2020 年为 0.1%(占劳动力)
- 武器进口德国:2025 年为 16.3亿 TIV坦桑尼亚:2025 年为 400万 TIV