意大利与南非对比
意大利与南非:35 °C 以上天数
2014 年35 °C 以上天数:意大利为 0.5 天,南非为 13.2 天(CMIP6 气候模型中位数模拟)。 2014 年南非的数值较高,高出 12.7 天,是意大利的 27 倍。
每年天数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,南非的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年意大利为 9.6 天,南非为 40 天。
逐年数据
每年天数 · CMIP6
| 年份 | 意大利 | 南非 |
|---|---|---|
| 2014 | 0.5 | 13.2 |
| 2013 | 0.2 | 15.2 |
| 2012 | 0.2 | 14.3 |
| 2011 | 0.3 | 11.7 |
| 2010 | 0.4 | 12.5 |
| 2009 | 0.3 | 13.2 |
| 2008 | 0.3 | 12.3 |
| 2007 | 0.1 | 12 |
| 2006 | 0.2 | 11.9 |
| 2005 | 0.1 | 13.3 |
| 2004 | 0.3 | 13.9 |
| 2003 | 0.2 | 12.6 |
| 2002 | 0.1 | 12.6 |
| 2001 | 0.1 | 11.1 |
| 2000 | 0.2 | 11.8 |
| 1999 | 0.1 | 11 |
| 1998 | 0.1 | 12.1 |
| 1997 | 0.1 | 11.3 |
| 1996 | 0.1 | 9.4 |
| 1995 | 0.1 | 8.3 |
| 1994 | 0 | 8.5 |
| 1993 | 0 | 7.8 |
| 1992 | 0 | 7.1 |
| 1991 | 0 | 11.1 |
| 1990 | 0.1 | 10.1 |
| 1989 | 0 | 11.5 |
| 1988 | 0 | 9.4 |
| 1987 | 0 | 11.5 |
| 1986 | 0 | 10.2 |
| 1985 | 0 | 8.7 |
| 1984 | 0 | 8.7 |
| 1983 | 0 | 8.6 |
| 1982 | 0 | 10.5 |
| 1981 | 0 | 9.7 |
| 1980 | 0.1 | 10.3 |
| 1979 | 0 | 9.4 |
| 1978 | 0 | 9.5 |
| 1977 | 0 | 9.3 |
| 1976 | 0 | 9 |
| 1975 | 0 | 9.3 |
| 1974 | 0 | 8.8 |
| 1973 | 0 | 9.5 |
| 1972 | 0 | 8.4 |
| 1971 | 0 | 8.7 |
| 1970 | 0 | 8.2 |
| 1969 | 0.1 | 8.9 |
| 1968 | 0 | 8.4 |
| 1967 | 0 | 6.9 |
| 1966 | 0 | 7.8 |
| 1965 | 0 | 7.9 |
| 1964 | 0.1 | 6.4 |
| 1963 | 0 | 7 |
| 1962 | 0 | 8.9 |
| 1961 | 0 | 10.5 |
| 1960 | 0 | 9.7 |
| 1959 | 0.1 | 8.9 |
| 1958 | 0 | 9.3 |
| 1957 | 0 | 10.3 |
| 1956 | 0 | 7.9 |
| 1955 | 0.1 | 10.3 |
| 1954 | 0 | 9.1 |
| 1953 | 0.1 | 7.8 |
| 1952 | 0.1 | 9 |
| 1951 | 0 | 8.4 |
| 1950 | 0.1 | 8.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 意大利 | 南非 |
|---|---|---|
| 2015 | 0.40.1–1.7 | 14.76.8–24 |
| 2016 | 0.40–2.6 | 13.46.3–22.2 |
| 2017 | 0.60–3.2 | 15.27.7–24.6 |
| 2018 | 0.60.1–3.2 | 179.7–28 |
| 2019 | 0.80.1–2.4 | 14.67.1–24.5 |
| 2020 | 0.60–3 | 15.77.4–23.5 |
| 2021 | 0.70–3.2 | 17.99.4–27 |
| 2022 | 0.90–4.3 | 189.8–29 |
| 2023 | 0.70–3.4 | 18.69.9–27.1 |
| 2024 | 1.10–3.9 | 17.89.8–28 |
| 2025 | 0.90.1–4.3 | 16.57.5–29.6 |
| 2026 | 10.1–6.1 | 20.19.3–29.4 |
| 2027 | 0.90–3.8 | 19.910.5–32.8 |
| 2028 | 1.40.2–5 | 19.110.6–33.2 |
| 2029 | 1.20.1–5.5 | 21.412.9–33.6 |
| 2030 | 0.90.1–4.8 | 21.19.6–33.9 |
| 2031 | 10.1–4.1 | 20.79.9–35.4 |
| 2032 | 1.20.3–4.7 | 2110.9–34.8 |
| 2033 | 1.60–4.3 | 22.612.2–34.2 |
| 2034 | 1.70.2–6.9 | 24.615–35.1 |
| 2035 | 1.90.2–6.5 | 20.911.7–31.3 |
| 2036 | 1.90.2–7 | 21.111.9–32.2 |
| 2037 | 1.90.4–6.2 | 23.412.6–35.2 |
| 2038 | 1.90.2–7.5 | 26.216–36.7 |
| 2039 | 20.3–5.6 | 22.611.4–35.9 |
| 2040 | 2.20.3–6.7 | 21.510.9–35.4 |
| 2041 | 2.10.3–7 | 23.213.2–35.8 |
| 2042 | 1.80.2–6.9 | 25.214.3–39.6 |
| 2043 | 2.10.2–5.7 | 25.613.4–39.9 |
| 2044 | 2.40.4–6.4 | 26.113.1–41.6 |
| 2045 | 2.10.2–6.2 | 26.813.1–40.3 |
| 2046 | 2.70.5–8.8 | 25.914.5–40.8 |
| 2047 | 3.30.9–8.1 | 26.713.7–41.4 |
| 2048 | 2.10.1–9.3 | 29.215.6–45.4 |
| 2049 | 2.80.3–9.4 | 29.117.3–44.7 |
| 2050 | 3.80.8–8.5 | 29.815.7–48.6 |
| 2051 | 3.20.6–11.6 | 27.913.6–45.2 |
| 2052 | 2.90.2–9.6 | 31.918.3–46.8 |
| 2053 | 30.6–9.8 | 28.318.6–43.2 |
| 2054 | 3.70.4–11.5 | 30.717.3–50.1 |
| 2055 | 3.30.3–10.2 | 2917.8–48 |
| 2056 | 3.40.9–11.1 | 29.916–45.3 |
| 2057 | 3.10.6–8.5 | 3117.4–50.1 |
| 2058 | 4.80.6–12.3 | 31.115.7–46 |
| 2059 | 4.20.6–12.5 | 3216.1–49.9 |
| 2060 | 3.80.9–11.3 | 33.419.8–49.7 |
| 2061 | 4.51.2–10.3 | 32.718.1–51.1 |
| 2062 | 4.50.8–10.7 | 31.317.7–52.6 |
| 2063 | 5.70.8–13.2 | 32.317.4–50.7 |
| 2064 | 5.51–13.9 | 31.817.7–47.6 |
| 2065 | 4.80.9–13 | 31.716.2–50.7 |
| 2066 | 4.40.6–12.7 | 34.318.4–55.3 |
| 2067 | 7.31.3–17 | 32.617.2–52.4 |
| 2068 | 5.71.2–13.8 | 33.819.2–54.3 |
| 2069 | 6.11.5–11.5 | 34.621.3–52.4 |
| 2070 | 5.71.3–15.6 | 32.819.3–51.1 |
| 2071 | 7.11.2–15.6 | 35.320.8–55.8 |
| 2072 | 6.52.1–14.7 | 37.820.3–54.6 |
| 2073 | 4.51.1–11.8 | 4425.6–62.1 |
| 2074 | 5.30.7–12.8 | 38.320.7–55.8 |
| 2075 | 5.81.3–18 | 34.218.7–53.1 |
| 2076 | 5.81–15.9 | 38.822.9–57.5 |
| 2077 | 5.81.5–14.7 | 39.124.2–60.3 |
| 2078 | 5.41.4–20.3 | 35.521.6–53.4 |
| 2079 | 6.71.2–20 | 40.522.9–59.7 |
| 2080 | 6.41.8–17.3 | 40.523.4–59 |
| 2081 | 61.5–16.9 | 38.523.8–59.9 |
| 2082 | 9.42.3–18.9 | 38.622.5–58.2 |
| 2083 | 6.11.1–15.3 | 38.518.7–62.9 |
| 2084 | 7.72.6–20.2 | 39.720.6–58.4 |
| 2085 | 8.22.7–17.8 | 4021.5–65.8 |
| 2086 | 8.12.4–18.1 | 40.823–63.7 |
| 2087 | 8.12–20 | 38.324.6–58.6 |
| 2088 | 10.63.1–22.1 | 42.222.6–66.3 |
| 2089 | 9.23–22.4 | 41.624.2–59.1 |
| 2090 | 8.62.9–17.7 | 42.326.1–66.4 |
| 2091 | 9.73–19.4 | 43.324.2–63.6 |
| 2092 | 6.70.5–17.5 | 43.928–61.6 |
| 2093 | 6.42–17.4 | 37.521.3–63.4 |
| 2094 | 7.62–19.9 | 41.325.4–65.9 |
| 2095 | 9.71.3–19.2 | 43.522.9–70.2 |
| 2096 | 7.61.6–21.4 | 41.224.1–66.8 |
| 2097 | 8.61.8–18.9 | 37.723.7–60.9 |
| 2098 | 9.92.4–19 | 46.425.1–71.4 |
| 2099 | 9.51.7–19.7 | 42.525.1–64.8 |
| 2100 | 9.62.4–20.4 | 4022.2–64.5 |
分别查看各国
须知
- 一年中最高气温超过 35 °C 的天数,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
意大利与南非对比
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冲突
军用
- 军费开支意大利:2025 年为 GDP 的 1.89%南非:2025 年为 GDP 的 0.74%
- 军费开支(美元)意大利:2025 年为 US$454亿南非:2025 年为 US$30亿
- 人均军费开支意大利:2025 年为 US$813南非:2025 年为 US$49
- 军费占政府支出比例意大利:2025 年为 3.7%(占政府支出)南非:2025 年为 2.2%(占政府支出)
- 武装部队人员意大利:2020 年为 338,000 人南非:2020 年为 89,000 人
- 国家实力意大利:2022 年为 0.96%(占全球实力)南非:2022 年为 0.55%(占全球实力)
- 武装部队占劳动力比例意大利:2020 年为 1.35%(占劳动力)南非:2020 年为 0.4%(占劳动力)
- 武器进口意大利:2025 年为 5.66亿 TIV南非:2025 年为 3000万 TIV
- 武器出口意大利:2025 年为 19.2亿 TIV南非:2025 年为 1.15亿 TIV