德国与乌兹别克斯坦对比
德国与乌兹别克斯坦:热带夜
2014 年热带夜:德国为 0.8 夜,乌兹别克斯坦为 65.5 夜(CMIP6 气候模型中位数模拟)。 2014 年乌兹别克斯坦的数值较高,高出 64.7 夜,是德国的 80 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,乌兹别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,乌兹别克斯坦为 96.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 德国 | 乌兹别克斯坦 |
|---|---|---|
| 2014 | 0.8 | 65.5 |
| 2013 | 0.7 | 64.1 |
| 2012 | 0.9 | 63.6 |
| 2011 | 0.5 | 61.8 |
| 2010 | 0.9 | 57.7 |
| 2009 | 0.5 | 62.5 |
| 2008 | 0.2 | 60.5 |
| 2007 | 0.3 | 61 |
| 2006 | 0.3 | 61.6 |
| 2005 | 0.6 | 59.4 |
| 2004 | 0.7 | 58.8 |
| 2003 | 0.6 | 59.7 |
| 2002 | 0.2 | 61.7 |
| 2001 | 0.5 | 59 |
| 2000 | 0.2 | 56 |
| 1999 | 0.2 | 57 |
| 1998 | 0.1 | 57.3 |
| 1997 | 0.1 | 57.5 |
| 1996 | 0.2 | 54.5 |
| 1995 | 0.1 | 53.4 |
| 1994 | 0 | 51.8 |
| 1993 | 0 | 47.2 |
| 1992 | 0 | 48.2 |
| 1991 | 0.1 | 53.4 |
| 1990 | 0.1 | 54.8 |
| 1989 | 0.1 | 51.8 |
| 1988 | 0 | 51.9 |
| 1987 | 0 | 52.5 |
| 1986 | 0 | 47.4 |
| 1985 | 0.1 | 52.9 |
| 1984 | 0.1 | 46.9 |
| 1983 | 0 | 42.3 |
| 1982 | 0 | 50.7 |
| 1981 | 0 | 49.6 |
| 1980 | 0 | 47.9 |
| 1979 | 0 | 50.7 |
| 1978 | 0.1 | 47.1 |
| 1977 | 0 | 48.5 |
| 1976 | 0 | 46.1 |
| 1975 | 0 | 46.9 |
| 1974 | 0.1 | 44.9 |
| 1973 | 0 | 46.3 |
| 1972 | 0 | 47.4 |
| 1971 | 0 | 45.5 |
| 1970 | 0.1 | 44.4 |
| 1969 | 0 | 47.8 |
| 1968 | 0 | 44.6 |
| 1967 | 0 | 45.6 |
| 1966 | 0 | 46.1 |
| 1965 | 0 | 45.1 |
| 1964 | 0 | 46.1 |
| 1963 | 0 | 47 |
| 1962 | 0 | 46.3 |
| 1961 | 0 | 46.6 |
| 1960 | 0 | 45.7 |
| 1959 | 0.1 | 47.5 |
| 1958 | 0 | 53.1 |
| 1957 | 0 | 49.6 |
| 1956 | 0 | 49.4 |
| 1955 | 0 | 47.1 |
| 1954 | 0.1 | 49.9 |
| 1953 | 0 | 45.7 |
| 1952 | 0 | 49.2 |
| 1951 | 0 | 47.9 |
| 1950 | 0 | 49.5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 德国 | 乌兹别克斯坦 |
|---|---|---|
| 2015 | 0.50–4 | 67.454.2–79.9 |
| 2016 | 0.80–4.3 | 64.554.4–79.8 |
| 2017 | 0.70–5.1 | 66.955.3–76.4 |
| 2018 | 0.70–3.5 | 66.951.9–80.2 |
| 2019 | 1.20–5 | 67.555.8–80.4 |
| 2020 | 1.20–5.7 | 67.655.3–78.9 |
| 2021 | 10–6 | 68.256.7–78.7 |
| 2022 | 1.40–5.7 | 68.756.5–80 |
| 2023 | 1.10–5.7 | 71.759.3–80.7 |
| 2024 | 1.20–5.2 | 71.558–81.9 |
| 2025 | 1.90–8.2 | 72.460.1–83.8 |
| 2026 | 1.90.1–6.5 | 70.758.5–82.4 |
| 2027 | 1.40–4.7 | 71.359.5–84.8 |
| 2028 | 1.50.1–5.5 | 72.262.3–84.2 |
| 2029 | 20.1–6.4 | 71.556.9–83.7 |
| 2030 | 1.60–6.1 | 73.860.3–84 |
| 2031 | 1.40–5.4 | 75.965.3–86.4 |
| 2032 | 1.50.1–7.6 | 75.462.8–87.7 |
| 2033 | 1.70–6.8 | 74.862.7–88.5 |
| 2034 | 2.10.2–8.3 | 73.259–88 |
| 2035 | 1.70.1–6.9 | 7763.9–87.6 |
| 2036 | 2.80.1–7.8 | 76.262.2–87.7 |
| 2037 | 2.50–9.2 | 76.864.1–86.5 |
| 2038 | 2.20.1–9.7 | 7866–90.1 |
| 2039 | 30–8.9 | 74.262.3–86.5 |
| 2040 | 2.30.1–7.1 | 79.361.6–90.5 |
| 2041 | 2.40.1–7.9 | 79.166–90.9 |
| 2042 | 2.90.4–8.9 | 77.964–91.1 |
| 2043 | 3.10.1–8.7 | 76.964.7–89.3 |
| 2044 | 3.10.2–10.1 | 80.265.2–94.1 |
| 2045 | 30.1–8.7 | 79.362.9–91.3 |
| 2046 | 3.10.5–10.9 | 80.666.1–93.9 |
| 2047 | 4.30.3–10.6 | 80.865.2–96 |
| 2048 | 3.70.2–12.9 | 80.467.3–92.2 |
| 2049 | 4.40.2–11.8 | 82.670–93.2 |
| 2050 | 3.10.6–9.3 | 84.170.8–95.2 |
| 2051 | 2.70.1–9.5 | 8268.1–94.5 |
| 2052 | 3.60.2–11.5 | 82.470.7–94.5 |
| 2053 | 2.30.4–8.7 | 83.968.5–95 |
| 2054 | 3.50.4–10.3 | 84.870.5–97 |
| 2055 | 3.30.4–11.3 | 84.470.7–96.2 |
| 2056 | 4.50.7–14.3 | 85.871–97.8 |
| 2057 | 40.4–11.3 | 86.872.3–98.9 |
| 2058 | 5.80.7–15.5 | 8468.7–98.2 |
| 2059 | 5.10.1–15.6 | 84.972.8–97.6 |
| 2060 | 4.40.6–12.3 | 87.972.4–100.4 |
| 2061 | 5.31–12.3 | 84.370.1–97.3 |
| 2062 | 5.51.6–14.2 | 86.771.2–102.1 |
| 2063 | 5.20.8–13.8 | 88.171–101.2 |
| 2064 | 4.10.5–12.2 | 84.568.1–99.8 |
| 2065 | 4.90.3–15.8 | 90.275.4–104.8 |
| 2066 | 5.30.7–11.8 | 88.274.3–100.2 |
| 2067 | 7.21.4–17.5 | 87.371.8–103.7 |
| 2068 | 3.90.9–11.3 | 88.576.1–100.4 |
| 2069 | 6.11.6–15 | 90.175.9–103.3 |
| 2070 | 5.80.6–14.9 | 87.875.3–100.9 |
| 2071 | 6.30.6–16.4 | 87.875.7–102.6 |
| 2072 | 6.21.9–13 | 88.773.5–104.3 |
| 2073 | 5.51.3–16.2 | 89.475.7–105.8 |
| 2074 | 5.50.5–16.7 | 9278–104.3 |
| 2075 | 6.21.4–18.3 | 89.876.9–103.7 |
| 2076 | 7.41.1–20.1 | 89.972.7–104.9 |
| 2077 | 6.31.1–17.4 | 91.475.5–106.7 |
| 2078 | 6.50.7–21.4 | 91.576.3–105.3 |
| 2079 | 6.70.6–22.7 | 89.175.8–103.5 |
| 2080 | 6.51.2–14.9 | 91.874.6–108.3 |
| 2081 | 6.60.9–18.5 | 90.675.2–104.8 |
| 2082 | 7.91.4–22.5 | 93.476.3–106.1 |
| 2083 | 7.61.3–16.8 | 91.979.5–107.5 |
| 2084 | 5.91.1–15.9 | 9172.3–107.5 |
| 2085 | 6.50.9–17.6 | 89.975.1–109.6 |
| 2086 | 7.90.8–23 | 90.773.7–105.6 |
| 2087 | 9.91.1–24.1 | 93.379–107.1 |
| 2088 | 8.92–18.4 | 93.176–107.9 |
| 2089 | 8.31.9–19.2 | 92.377.9–107.4 |
| 2090 | 6.20.8–24.1 | 93.576.6–112.1 |
| 2091 | 9.31.3–23.5 | 9778.4–111.4 |
| 2092 | 8.61.7–19.2 | 95.478.2–107.9 |
| 2093 | 6.20.8–18.2 | 94.877.2–107.9 |
| 2094 | 9.32.4–20.4 | 94.980.1–111.9 |
| 2095 | 9.51.1–24 | 94.777.9–111.7 |
| 2096 | 8.10.2–21.4 | 97.383.8–110.9 |
| 2097 | 6.40.5–20.1 | 95.880.5–110 |
| 2098 | 9.31.4–22.1 | 97.580.4–112.5 |
| 2099 | 8.11.4–20.8 | 97.181.4–113.6 |
| 2100 | 8.81.9–21.1 | 96.180.1–113.6 |
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
德国与乌兹别克斯坦对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支德国:2025 年为 GDP 的 2.27%乌兹别克斯坦:2018 年为 GDP 的 2.49%
- 军费开支(美元)德国:2025 年为 US$1070亿乌兹别克斯坦:2018 年为 US$17.7亿
- 人均军费开支德国:2025 年为 US$1,346乌兹别克斯坦:2018 年为 US$45
- 军费占政府支出比例德国:2025 年为 4.5%(占政府支出)乌兹别克斯坦:2018 年为 11.1%(占政府支出)
- 武装部队人员德国:2020 年为 183,000 人乌兹别克斯坦:2020 年为 68,000 人
- 国家实力德国:2022 年为 1.5%(占全球实力)乌兹别克斯坦:2022 年为 0.29%(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)乌兹别克斯坦:2020 年为 0.52%(占劳动力)
- 武器进口德国:2025 年为 16.3亿 TIV乌兹别克斯坦:2025 年为 3200万 TIV
- 武器出口德国:2025 年为 17亿 TIV乌兹别克斯坦:2016 年为 6800万 TIV