德国与意大利对比
德国与意大利:热带夜
2014 年热带夜:德国为 0.8 夜,意大利为 26.3 夜(CMIP6 气候模型中位数模拟)。 2014 年意大利的数值较高,高出 25.5 夜,是德国的 32 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,意大利的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年德国为 8.8 夜,意大利为 65.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 德国 | 意大利 |
|---|---|---|
| 2014 | 0.8 | 26.3 |
| 2013 | 0.7 | 24.7 |
| 2012 | 0.9 | 24.8 |
| 2011 | 0.5 | 24.6 |
| 2010 | 0.9 | 27.1 |
| 2009 | 0.5 | 23.7 |
| 2008 | 0.2 | 24.1 |
| 2007 | 0.3 | 21.5 |
| 2006 | 0.3 | 24.6 |
| 2005 | 0.6 | 22.5 |
| 2004 | 0.7 | 24.5 |
| 2003 | 0.6 | 23.8 |
| 2002 | 0.2 | 20.6 |
| 2001 | 0.5 | 20.8 |
| 2000 | 0.2 | 21.7 |
| 1999 | 0.2 | 20.3 |
| 1998 | 0.1 | 18.9 |
| 1997 | 0.1 | 18.9 |
| 1996 | 0.2 | 18.9 |
| 1995 | 0.1 | 17.9 |
| 1994 | 0 | 17.4 |
| 1993 | 0 | 16.3 |
| 1992 | 0 | 15.1 |
| 1991 | 0.1 | 18 |
| 1990 | 0.1 | 18.2 |
| 1989 | 0.1 | 16.6 |
| 1988 | 0 | 15.5 |
| 1987 | 0 | 16 |
| 1986 | 0 | 15 |
| 1985 | 0.1 | 14.5 |
| 1984 | 0.1 | 15.7 |
| 1983 | 0 | 15.3 |
| 1982 | 0 | 14.1 |
| 1981 | 0 | 15.3 |
| 1980 | 0 | 15.9 |
| 1979 | 0 | 14.5 |
| 1978 | 0.1 | 16.5 |
| 1977 | 0 | 13.5 |
| 1976 | 0 | 13.8 |
| 1975 | 0 | 14 |
| 1974 | 0.1 | 14.8 |
| 1973 | 0 | 13.5 |
| 1972 | 0 | 13.7 |
| 1971 | 0 | 15.3 |
| 1970 | 0.1 | 14 |
| 1969 | 0 | 14.5 |
| 1968 | 0 | 13.8 |
| 1967 | 0 | 13.6 |
| 1966 | 0 | 13.2 |
| 1965 | 0 | 12.8 |
| 1964 | 0 | 13.2 |
| 1963 | 0 | 14.2 |
| 1962 | 0 | 15.5 |
| 1961 | 0 | 13.9 |
| 1960 | 0 | 14.9 |
| 1959 | 0.1 | 16.6 |
| 1958 | 0 | 14.4 |
| 1957 | 0 | 15.5 |
| 1956 | 0 | 16.7 |
| 1955 | 0 | 16.6 |
| 1954 | 0.1 | 15.7 |
| 1953 | 0 | 15.4 |
| 1952 | 0 | 16.6 |
| 1951 | 0 | 16 |
| 1950 | 0 | 15.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 德国 | 意大利 |
|---|---|---|
| 2015 | 0.50–4 | 3021.7–40.4 |
| 2016 | 0.80–4.3 | 29.618–42.2 |
| 2017 | 0.70–5.1 | 31.820.2–43.7 |
| 2018 | 0.70–3.5 | 3122–44.3 |
| 2019 | 1.20–5 | 31.521.3–43.2 |
| 2020 | 1.20–5.7 | 31.619.7–44.3 |
| 2021 | 10–6 | 3420.8–46.9 |
| 2022 | 1.40–5.7 | 37.121.3–50.6 |
| 2023 | 1.10–5.7 | 33.121.3–47.4 |
| 2024 | 1.20–5.2 | 35.521.6–48.4 |
| 2025 | 1.90–8.2 | 37.720.5–51.1 |
| 2026 | 1.90.1–6.5 | 38.926.6–52.2 |
| 2027 | 1.40–4.7 | 34.322.4–49.7 |
| 2028 | 1.50.1–5.5 | 37.724.4–53.1 |
| 2029 | 20.1–6.4 | 37.824.9–55 |
| 2030 | 1.60–6.1 | 37.925.7–54.7 |
| 2031 | 1.40–5.4 | 37.223.8–51 |
| 2032 | 1.50.1–7.6 | 39.226.2–53.8 |
| 2033 | 1.70–6.8 | 40.426–50.3 |
| 2034 | 2.10.2–8.3 | 42.525.1–57.2 |
| 2035 | 1.70.1–6.9 | 42.728.9–58.3 |
| 2036 | 2.80.1–7.8 | 41.127.7–59.9 |
| 2037 | 2.50–9.2 | 4328.1–54.8 |
| 2038 | 2.20.1–9.7 | 41.628.5–61.3 |
| 2039 | 30–8.9 | 4129.4–56.4 |
| 2040 | 2.30.1–7.1 | 42.428.1–59.1 |
| 2041 | 2.40.1–7.9 | 41.927.2–58.7 |
| 2042 | 2.90.4–8.9 | 43.529.6–59 |
| 2043 | 3.10.1–8.7 | 4528.7–59.5 |
| 2044 | 3.10.2–10.1 | 44.929.4–59.9 |
| 2045 | 30.1–8.7 | 45.230.3–59.2 |
| 2046 | 3.10.5–10.9 | 4627.3–62.4 |
| 2047 | 4.30.3–10.6 | 49.132.4–63.6 |
| 2048 | 3.70.2–12.9 | 46.228.3–65.7 |
| 2049 | 4.40.2–11.8 | 48.229.5–65.7 |
| 2050 | 3.10.6–9.3 | 49.536.4–64.4 |
| 2051 | 2.70.1–9.5 | 48.831.6–68.3 |
| 2052 | 3.60.2–11.5 | 50.330.9–68.1 |
| 2053 | 2.30.4–8.7 | 48.235.9–67 |
| 2054 | 3.50.4–10.3 | 49.435.3–66.1 |
| 2055 | 3.30.4–11.3 | 52.233.7–67.7 |
| 2056 | 4.50.7–14.3 | 50.836.2–71.6 |
| 2057 | 40.4–11.3 | 50.232.8–65.6 |
| 2058 | 5.80.7–15.5 | 55.337.5–70.8 |
| 2059 | 5.10.1–15.6 | 51.934.5–74.1 |
| 2060 | 4.40.6–12.3 | 52.938.2–68.1 |
| 2061 | 5.31–12.3 | 54.338.3–69.8 |
| 2062 | 5.51.6–14.2 | 53.936.9–69 |
| 2063 | 5.20.8–13.8 | 56.437.6–72.1 |
| 2064 | 4.10.5–12.2 | 55.938.5–71.3 |
| 2065 | 4.90.3–15.8 | 5537.3–73.3 |
| 2066 | 5.30.7–11.8 | 53.935.8–73.8 |
| 2067 | 7.21.4–17.5 | 61.141.2–76.6 |
| 2068 | 3.90.9–11.3 | 56.241.7–73 |
| 2069 | 6.11.6–15 | 58.741.8–73 |
| 2070 | 5.80.6–14.9 | 55.738.9–74.4 |
| 2071 | 6.30.6–16.4 | 59.637.8–76.6 |
| 2072 | 6.21.9–13 | 59.643.5–74.6 |
| 2073 | 5.51.3–16.2 | 56.939.4–71.6 |
| 2074 | 5.50.5–16.7 | 54.836.7–73.7 |
| 2075 | 6.21.4–18.3 | 56.941.8–75.4 |
| 2076 | 7.41.1–20.1 | 59.941.9–77.7 |
| 2077 | 6.31.1–17.4 | 57.437.9–74.1 |
| 2078 | 6.50.7–21.4 | 60.540.5–80.7 |
| 2079 | 6.70.6–22.7 | 60.637.1–83.3 |
| 2080 | 6.51.2–14.9 | 59.743.1–78 |
| 2081 | 6.60.9–18.5 | 5943.7–78.9 |
| 2082 | 7.91.4–22.5 | 63.945.5–80.2 |
| 2083 | 7.61.3–16.8 | 60.842–79.7 |
| 2084 | 5.91.1–15.9 | 62.547.3–82.1 |
| 2085 | 6.50.9–17.6 | 65.246.3–79 |
| 2086 | 7.90.8–23 | 64.445.6–80.1 |
| 2087 | 9.91.1–24.1 | 63.743.8–84 |
| 2088 | 8.92–18.4 | 67.247.4–84.4 |
| 2089 | 8.31.9–19.2 | 64.546–82.9 |
| 2090 | 6.20.8–24.1 | 65.842.8–80.5 |
| 2091 | 9.31.3–23.5 | 66.745.3–84.7 |
| 2092 | 8.61.7–19.2 | 64.838.5–82.3 |
| 2093 | 6.20.8–18.2 | 63.644.7–83 |
| 2094 | 9.32.4–20.4 | 62.445–82 |
| 2095 | 9.51.1–24 | 6643.6–83.5 |
| 2096 | 8.10.2–21.4 | 6542.9–85.8 |
| 2097 | 6.40.5–20.1 | 65.844.9–84.4 |
| 2098 | 9.31.4–22.1 | 64.647.9–84.2 |
| 2099 | 8.11.4–20.8 | 67.742.2–81.9 |
| 2100 | 8.81.9–21.1 | 65.142.5–83.2 |
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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
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军用
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- 人均军费开支德国:2025 年为 US$1,346意大利:2025 年为 US$813
- 军费占政府支出比例德国:2025 年为 4.5%(占政府支出)意大利:2025 年为 3.7%(占政府支出)
- 武装部队人员德国:2020 年为 183,000 人意大利:2020 年为 338,000 人
- 国家实力德国:2022 年为 1.5%(占全球实力)意大利:2022 年为 0.96%(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)意大利:2020 年为 1.35%(占劳动力)
- 武器进口德国:2025 年为 16.3亿 TIV意大利:2025 年为 5.66亿 TIV
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