阿塞拜疆与德国对比
阿塞拜疆与德国:热带夜
2014 年热带夜:阿塞拜疆为 41.5 夜,德国为 0.8 夜(CMIP6 气候模型中位数模拟)。 2014 年阿塞拜疆的数值较高,高出 40.6 夜,是德国的 51 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,阿塞拜疆的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿塞拜疆为 71.5 夜,德国为 8.8 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 阿塞拜疆 | 德国 |
|---|---|---|
| 2014 | 41.5 | 0.8 |
| 2013 | 41.4 | 0.7 |
| 2012 | 40.9 | 0.9 |
| 2011 | 38.4 | 0.5 |
| 2010 | 38.1 | 0.9 |
| 2009 | 39.3 | 0.5 |
| 2008 | 37.7 | 0.2 |
| 2007 | 37 | 0.3 |
| 2006 | 39.3 | 0.3 |
| 2005 | 38.8 | 0.6 |
| 2004 | 38.6 | 0.7 |
| 2003 | 37.6 | 0.6 |
| 2002 | 38.5 | 0.2 |
| 2001 | 37.5 | 0.5 |
| 2000 | 36.5 | 0.2 |
| 1999 | 35.5 | 0.2 |
| 1998 | 35.1 | 0.1 |
| 1997 | 36.1 | 0.1 |
| 1996 | 33.9 | 0.2 |
| 1995 | 32.8 | 0.1 |
| 1994 | 30.6 | 0 |
| 1993 | 28.7 | 0 |
| 1992 | 27.7 | 0 |
| 1991 | 31.8 | 0.1 |
| 1990 | 34.7 | 0.1 |
| 1989 | 31.2 | 0.1 |
| 1988 | 31.9 | 0 |
| 1987 | 31.4 | 0 |
| 1986 | 30.4 | 0 |
| 1985 | 32.8 | 0.1 |
| 1984 | 28.3 | 0.1 |
| 1983 | 25.3 | 0 |
| 1982 | 30.2 | 0 |
| 1981 | 29.8 | 0 |
| 1980 | 29.6 | 0 |
| 1979 | 30.2 | 0 |
| 1978 | 28.3 | 0.1 |
| 1977 | 29.3 | 0 |
| 1976 | 29.1 | 0 |
| 1975 | 28.5 | 0 |
| 1974 | 28.9 | 0.1 |
| 1973 | 28.3 | 0 |
| 1972 | 29.7 | 0 |
| 1971 | 29.5 | 0 |
| 1970 | 28.3 | 0.1 |
| 1969 | 29.7 | 0 |
| 1968 | 30.6 | 0 |
| 1967 | 28.4 | 0 |
| 1966 | 29.3 | 0 |
| 1965 | 27.6 | 0 |
| 1964 | 27.6 | 0 |
| 1963 | 28.9 | 0 |
| 1962 | 28.7 | 0 |
| 1961 | 28.7 | 0 |
| 1960 | 29.1 | 0 |
| 1959 | 30.5 | 0.1 |
| 1958 | 31.6 | 0 |
| 1957 | 29.4 | 0 |
| 1956 | 29.6 | 0 |
| 1955 | 29.8 | 0 |
| 1954 | 30.2 | 0.1 |
| 1953 | 30.7 | 0 |
| 1952 | 29.1 | 0 |
| 1951 | 29.3 | 0 |
| 1950 | 30.1 | 0 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 阿塞拜疆 | 德国 |
|---|---|---|
| 2015 | 46.835.3–57.1 | 0.50–4 |
| 2016 | 44.732.4–54.9 | 0.80–4.3 |
| 2017 | 46.234.8–54.5 | 0.70–5.1 |
| 2018 | 45.934–57.4 | 0.70–3.5 |
| 2019 | 45.436.1–55 | 1.20–5 |
| 2020 | 47.335.8–56.3 | 1.20–5.7 |
| 2021 | 47.336.1–57.2 | 10–6 |
| 2022 | 47.937.9–58.3 | 1.40–5.7 |
| 2023 | 4937.9–60.2 | 1.10–5.7 |
| 2024 | 48.437.2–59.4 | 1.20–5.2 |
| 2025 | 48.939.4–57.4 | 1.90–8.2 |
| 2026 | 4939.2–59.3 | 1.90.1–6.5 |
| 2027 | 49.339.8–62.6 | 1.40–4.7 |
| 2028 | 48.339–57.6 | 1.50.1–5.5 |
| 2029 | 49.440.8–60.2 | 20.1–6.4 |
| 2030 | 50.238.7–60.4 | 1.60–6.1 |
| 2031 | 51.441.6–62.8 | 1.40–5.4 |
| 2032 | 53.540.9–64.3 | 1.50.1–7.6 |
| 2033 | 52.243–62.4 | 1.70–6.8 |
| 2034 | 50.741.1–61.2 | 2.10.2–8.3 |
| 2035 | 54.643.7–64.2 | 1.70.1–6.9 |
| 2036 | 52.843.2–64 | 2.80.1–7.8 |
| 2037 | 53.943.3–65 | 2.50–9.2 |
| 2038 | 56.443.3–67.5 | 2.20.1–9.7 |
| 2039 | 54.644.8–67.6 | 30–8.9 |
| 2040 | 56.342.1–66.6 | 2.30.1–7.1 |
| 2041 | 54.846.4–65.1 | 2.40.1–7.9 |
| 2042 | 55.945.2–66.2 | 2.90.4–8.9 |
| 2043 | 55.747.4–64.8 | 3.10.1–8.7 |
| 2044 | 5845.9–70.7 | 3.10.2–10.1 |
| 2045 | 5846.1–70.3 | 30.1–8.7 |
| 2046 | 59.548.7–70.5 | 3.10.5–10.9 |
| 2047 | 57.546.3–69.8 | 4.30.3–10.6 |
| 2048 | 6047–70.8 | 3.70.2–12.9 |
| 2049 | 58.649–68.6 | 4.40.2–11.8 |
| 2050 | 62.353–70.7 | 3.10.6–9.3 |
| 2051 | 59.448.9–68.2 | 2.70.1–9.5 |
| 2052 | 60.849.3–69.9 | 3.60.2–11.5 |
| 2053 | 6151.2–71.4 | 2.30.4–8.7 |
| 2054 | 60.147.6–73.1 | 3.50.4–10.3 |
| 2055 | 61.951.6–74.2 | 3.30.4–11.3 |
| 2056 | 61.750.9–75.6 | 4.50.7–14.3 |
| 2057 | 64.551.8–76.1 | 40.4–11.3 |
| 2058 | 63.751.4–76.4 | 5.80.7–15.5 |
| 2059 | 63.152–76.2 | 5.10.1–15.6 |
| 2060 | 6351.9–76.4 | 4.40.6–12.3 |
| 2061 | 63.949.1–76.8 | 5.31–12.3 |
| 2062 | 64.450.4–77 | 5.51.6–14.2 |
| 2063 | 65.647.3–77.5 | 5.20.8–13.8 |
| 2064 | 63.449.5–77.9 | 4.10.5–12.2 |
| 2065 | 67.252.9–80.5 | 4.90.3–15.8 |
| 2066 | 64.350.7–77.5 | 5.30.7–11.8 |
| 2067 | 6549.3–77.8 | 7.21.4–17.5 |
| 2068 | 65.651.8–76.9 | 3.90.9–11.3 |
| 2069 | 66.752.4–79.9 | 6.11.6–15 |
| 2070 | 65.953.2–77.8 | 5.80.6–14.9 |
| 2071 | 65.654.4–80.2 | 6.30.6–16.4 |
| 2072 | 66.653.8–81.3 | 6.21.9–13 |
| 2073 | 6952.1–84.4 | 5.51.3–16.2 |
| 2074 | 66.455.5–79.4 | 5.50.5–16.7 |
| 2075 | 67.453.5–80.9 | 6.21.4–18.3 |
| 2076 | 65.554.3–82.5 | 7.41.1–20.1 |
| 2077 | 67.554.9–82.1 | 6.31.1–17.4 |
| 2078 | 68.257.6–81 | 6.50.7–21.4 |
| 2079 | 69.555.1–82.3 | 6.70.6–22.7 |
| 2080 | 68.656.8–83.5 | 6.51.2–14.9 |
| 2081 | 70.255.8–82.6 | 6.60.9–18.5 |
| 2082 | 70.357.9–81.1 | 7.91.4–22.5 |
| 2083 | 72.157–86.9 | 7.61.3–16.8 |
| 2084 | 70.657.9–84.3 | 5.91.1–15.9 |
| 2085 | 69.355.2–84.2 | 6.50.9–17.6 |
| 2086 | 71.558–83 | 7.90.8–23 |
| 2087 | 71.256.2–85.4 | 9.91.1–24.1 |
| 2088 | 73.157.1–86.6 | 8.92–18.4 |
| 2089 | 70.657–86.3 | 8.31.9–19.2 |
| 2090 | 72.255.3–87.1 | 6.20.8–24.1 |
| 2091 | 73.558–89.1 | 9.31.3–23.5 |
| 2092 | 74.558.8–87.4 | 8.61.7–19.2 |
| 2093 | 71.856.4–88.3 | 6.20.8–18.2 |
| 2094 | 74.258.9–90.5 | 9.32.4–20.4 |
| 2095 | 72.756.9–87.5 | 9.51.1–24 |
| 2096 | 7458.9–87 | 8.10.2–21.4 |
| 2097 | 74.256.3–89 | 6.40.5–20.1 |
| 2098 | 73.155.6–88.5 | 9.31.4–22.1 |
| 2099 | 72.156.5–84.7 | 8.11.4–20.8 |
| 2100 | 71.557.4–87 | 8.81.9–21.1 |
分别查看各国
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
阿塞拜疆与德国对比
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军用
- 军费开支阿塞拜疆:2025 年为 GDP 的 6.47%德国:2025 年为 GDP 的 2.27%
- 军费开支(美元)阿塞拜疆:2025 年为 US$46.7亿德国:2025 年为 US$1070亿
- 人均军费开支阿塞拜疆:2025 年为 US$476德国:2025 年为 US$1,346
- 军费占政府支出比例阿塞拜疆:2025 年为 17.7%(占政府支出)德国:2025 年为 4.5%(占政府支出)
- 武装部队人员阿塞拜疆:2020 年为 82,000 人德国:2020 年为 183,000 人
- 国家实力阿塞拜疆:2022 年为 0.14%(占全球实力)德国:2022 年为 1.5%(占全球实力)
- 武装部队占劳动力比例阿塞拜疆:2020 年为 1.58%(占劳动力)德国:2020 年为 0.42%(占劳动力)
- 武器进口阿塞拜疆:2025 年为 4.63亿 TIV德国:2025 年为 16.3亿 TIV
- 武器出口阿塞拜疆:2023 年为 200万 TIV德国:2025 年为 17亿 TIV