德国与哈萨克斯坦对比
德国与哈萨克斯坦:热带夜
2014 年热带夜:德国为 0.8 夜,哈萨克斯坦为 22.4 夜(CMIP6 气候模型中位数模拟)。 2014 年哈萨克斯坦的数值较高,高出 21.6 夜,是德国的 27 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,哈萨克斯坦的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年德国为 8.8 夜,哈萨克斯坦为 47.9 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 德国 | 哈萨克斯坦 |
|---|---|---|
| 2014 | 0.8 | 22.4 |
| 2013 | 0.7 | 21.3 |
| 2012 | 0.9 | 21.7 |
| 2011 | 0.5 | 19.6 |
| 2010 | 0.9 | 18.7 |
| 2009 | 0.5 | 20 |
| 2008 | 0.2 | 20.2 |
| 2007 | 0.3 | 19.9 |
| 2006 | 0.3 | 19.2 |
| 2005 | 0.6 | 19.4 |
| 2004 | 0.7 | 18 |
| 2003 | 0.6 | 18.9 |
| 2002 | 0.2 | 19.5 |
| 2001 | 0.5 | 18.1 |
| 2000 | 0.2 | 17.2 |
| 1999 | 0.2 | 17.4 |
| 1998 | 0.1 | 16.9 |
| 1997 | 0.1 | 18.3 |
| 1996 | 0.2 | 15.7 |
| 1995 | 0.1 | 15 |
| 1994 | 0 | 14.7 |
| 1993 | 0 | 12.3 |
| 1992 | 0 | 12.3 |
| 1991 | 0.1 | 15 |
| 1990 | 0.1 | 16 |
| 1989 | 0.1 | 14.1 |
| 1988 | 0 | 14 |
| 1987 | 0 | 15 |
| 1986 | 0 | 12.9 |
| 1985 | 0.1 | 14.6 |
| 1984 | 0.1 | 12.1 |
| 1983 | 0 | 9.9 |
| 1982 | 0 | 14.1 |
| 1981 | 0 | 14.1 |
| 1980 | 0 | 12.7 |
| 1979 | 0 | 13.5 |
| 1978 | 0.1 | 12 |
| 1977 | 0 | 13.3 |
| 1976 | 0 | 12.5 |
| 1975 | 0 | 12.1 |
| 1974 | 0.1 | 11.9 |
| 1973 | 0 | 11.7 |
| 1972 | 0 | 12.3 |
| 1971 | 0 | 12.1 |
| 1970 | 0.1 | 11.7 |
| 1969 | 0 | 11.9 |
| 1968 | 0 | 12.2 |
| 1967 | 0 | 11.7 |
| 1966 | 0 | 11.9 |
| 1965 | 0 | 11.3 |
| 1964 | 0 | 10.9 |
| 1963 | 0 | 12.2 |
| 1962 | 0 | 12.4 |
| 1961 | 0 | 12.1 |
| 1960 | 0 | 12.2 |
| 1959 | 0.1 | 12.5 |
| 1958 | 0 | 13.9 |
| 1957 | 0 | 14 |
| 1956 | 0 | 12.9 |
| 1955 | 0 | 12.5 |
| 1954 | 0.1 | 13.1 |
| 1953 | 0 | 12.4 |
| 1952 | 0 | 13.5 |
| 1951 | 0 | 12.7 |
| 1950 | 0 | 13.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 德国 | 哈萨克斯坦 |
|---|---|---|
| 2015 | 0.50–4 | 25.415.1–35.8 |
| 2016 | 0.80–4.3 | 22.815–34.3 |
| 2017 | 0.70–5.1 | 23.214.5–32 |
| 2018 | 0.70–3.5 | 24.314.7–35.8 |
| 2019 | 1.20–5 | 24.115.9–33.9 |
| 2020 | 1.20–5.7 | 23.115.4–32.5 |
| 2021 | 10–6 | 23.315–32.4 |
| 2022 | 1.40–5.7 | 25.216.7–34.9 |
| 2023 | 1.10–5.7 | 25.516.4–35.3 |
| 2024 | 1.20–5.2 | 25.515.5–35.1 |
| 2025 | 1.90–8.2 | 26.218.1–35.9 |
| 2026 | 1.90.1–6.5 | 25.617.5–35.3 |
| 2027 | 1.40–4.7 | 2718.5–38 |
| 2028 | 1.50.1–5.5 | 27.818.2–38.7 |
| 2029 | 20.1–6.4 | 25.516.8–38.6 |
| 2030 | 1.60–6.1 | 27.616.5–38.2 |
| 2031 | 1.40–5.4 | 30.420.5–40.9 |
| 2032 | 1.50.1–7.6 | 30.320.4–40.3 |
| 2033 | 1.70–6.8 | 29.120.2–40.7 |
| 2034 | 2.10.2–8.3 | 2817.6–39.7 |
| 2035 | 1.70.1–6.9 | 30.719.3–42.8 |
| 2036 | 2.80.1–7.8 | 30.520.6–41.5 |
| 2037 | 2.50–9.2 | 29.120.2–39.5 |
| 2038 | 2.20.1–9.7 | 31.420.5–42.6 |
| 2039 | 30–8.9 | 3020.9–42.7 |
| 2040 | 2.30.1–7.1 | 32.719.8–42.5 |
| 2041 | 2.40.1–7.9 | 32.421.8–46.2 |
| 2042 | 2.90.4–8.9 | 32.220.2–45.8 |
| 2043 | 3.10.1–8.7 | 31.922.5–42.3 |
| 2044 | 3.10.2–10.1 | 33.620.2–45 |
| 2045 | 30.1–8.7 | 32.221.7–44.6 |
| 2046 | 3.10.5–10.9 | 34.423.3–48.5 |
| 2047 | 4.30.3–10.6 | 34.621.7–48.7 |
| 2048 | 3.70.2–12.9 | 3520.9–46 |
| 2049 | 4.40.2–11.8 | 35.624.5–47.8 |
| 2050 | 3.10.6–9.3 | 37.324.5–48.4 |
| 2051 | 2.70.1–9.5 | 35.523.6–49.7 |
| 2052 | 3.60.2–11.5 | 35.522.7–47.2 |
| 2053 | 2.30.4–8.7 | 36.123–48.3 |
| 2054 | 3.50.4–10.3 | 34.822.6–49.1 |
| 2055 | 3.30.4–11.3 | 3625.6–48.9 |
| 2056 | 4.50.7–14.3 | 37.725.6–50.3 |
| 2057 | 40.4–11.3 | 39.226.6–51.3 |
| 2058 | 5.80.7–15.5 | 35.323.7–51.2 |
| 2059 | 5.10.1–15.6 | 38.426.6–54.2 |
| 2060 | 4.40.6–12.3 | 39.626.9–52.2 |
| 2061 | 5.31–12.3 | 37.926.2–51.3 |
| 2062 | 5.51.6–14.2 | 37.924.7–54.3 |
| 2063 | 5.20.8–13.8 | 39.825.5–54.5 |
| 2064 | 4.10.5–12.2 | 37.222.3–54.8 |
| 2065 | 4.90.3–15.8 | 41.928.2–55.4 |
| 2066 | 5.30.7–11.8 | 38.826.8–53 |
| 2067 | 7.21.4–17.5 | 38.325.1–54.2 |
| 2068 | 3.90.9–11.3 | 42.427.4–55.9 |
| 2069 | 6.11.6–15 | 4128.5–57 |
| 2070 | 5.80.6–14.9 | 40.328.2–55.9 |
| 2071 | 6.30.6–16.4 | 42.128.7–57.3 |
| 2072 | 6.21.9–13 | 41.429.5–55.6 |
| 2073 | 5.51.3–16.2 | 40.926.9–59.4 |
| 2074 | 5.50.5–16.7 | 43.929–60.2 |
| 2075 | 6.21.4–18.3 | 42.929.1–58.3 |
| 2076 | 7.41.1–20.1 | 41.328–54.9 |
| 2077 | 6.31.1–17.4 | 42.429.5–58.4 |
| 2078 | 6.50.7–21.4 | 43.930.9–56.8 |
| 2079 | 6.70.6–22.7 | 43.528.7–57.6 |
| 2080 | 6.51.2–14.9 | 41.827.4–57.2 |
| 2081 | 6.60.9–18.5 | 42.629.1–56.8 |
| 2082 | 7.91.4–22.5 | 44.427.6–57.3 |
| 2083 | 7.61.3–16.8 | 44.531.7–60.4 |
| 2084 | 5.91.1–15.9 | 41.826.8–58.4 |
| 2085 | 6.50.9–17.6 | 43.828.7–61.5 |
| 2086 | 7.90.8–23 | 43.228.3–56.5 |
| 2087 | 9.91.1–24.1 | 43.529.7–59.3 |
| 2088 | 8.92–18.4 | 43.629.7–61.9 |
| 2089 | 8.31.9–19.2 | 44.132–59.5 |
| 2090 | 6.20.8–24.1 | 45.431.4–62 |
| 2091 | 9.31.3–23.5 | 45.630.5–64 |
| 2092 | 8.61.7–19.2 | 47.228.9–62.8 |
| 2093 | 6.20.8–18.2 | 45.929.9–62.9 |
| 2094 | 9.32.4–20.4 | 45.931.4–64.4 |
| 2095 | 9.51.1–24 | 46.431.4–63.6 |
| 2096 | 8.10.2–21.4 | 47.934.2–66.4 |
| 2097 | 6.40.5–20.1 | 48.633.7–65 |
| 2098 | 9.31.4–22.1 | 4832.2–65.5 |
| 2099 | 8.11.4–20.8 | 47.130.3–64.2 |
| 2100 | 8.81.9–21.1 | 47.933–65.8 |
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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
德国与哈萨克斯坦对比
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军用
- 军费开支德国:2025 年为 GDP 的 2.27%哈萨克斯坦:2025 年为 GDP 的 0.43%
- 军费开支(美元)德国:2025 年为 US$1070亿哈萨克斯坦:2025 年为 US$13.1亿
- 人均军费开支德国:2025 年为 US$1,346哈萨克斯坦:2025 年为 US$63
- 军费占政府支出比例德国:2025 年为 4.5%(占政府支出)哈萨克斯坦:2025 年为 2.1%(占政府支出)
- 武装部队人员德国:2020 年为 183,000 人哈萨克斯坦:2020 年为 71,000 人
- 国家实力德国:2022 年为 1.5%(占全球实力)哈萨克斯坦:2022 年为 0.27%(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)哈萨克斯坦:2020 年为 0.74%(占劳动力)
- 武器进口德国:2025 年为 16.3亿 TIV哈萨克斯坦:2025 年为 1800万 TIV
- 武器出口德国:2025 年为 17亿 TIV哈萨克斯坦:2006 年为 600万 TIV