意大利与韩国对比
意大利与韩国:热带夜
2014 年热带夜:意大利为 26.3 夜,韩国为 68.9 夜(CMIP6 气候模型中位数模拟)。 2014 年韩国的数值较高,高出 42.7 夜,是意大利的 2.62 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,韩国的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年意大利为 65.1 夜,韩国为 96.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 意大利 | 韩国 |
|---|---|---|
| 2014 | 26.3 | 68.9 |
| 2013 | 24.7 | 69.7 |
| 2012 | 24.8 | 67.7 |
| 2011 | 24.6 | 65.3 |
| 2010 | 27.1 | 68.3 |
| 2009 | 23.7 | 65.8 |
| 2008 | 24.1 | 63.7 |
| 2007 | 21.5 | 64.2 |
| 2006 | 24.6 | 64.8 |
| 2005 | 22.5 | 65.1 |
| 2004 | 24.5 | 66.8 |
| 2003 | 23.8 | 63.2 |
| 2002 | 20.6 | 63.3 |
| 2001 | 20.8 | 63.4 |
| 2000 | 21.7 | 61.7 |
| 1999 | 20.3 | 64.2 |
| 1998 | 18.9 | 60.7 |
| 1997 | 18.9 | 60.4 |
| 1996 | 18.9 | 61.2 |
| 1995 | 17.9 | 55.2 |
| 1994 | 17.4 | 54.8 |
| 1993 | 16.3 | 49.2 |
| 1992 | 15.1 | 50.7 |
| 1991 | 18 | 56.9 |
| 1990 | 18.2 | 58.8 |
| 1989 | 16.6 | 58.7 |
| 1988 | 15.5 | 55.6 |
| 1987 | 16 | 52.6 |
| 1986 | 15 | 51.4 |
| 1985 | 14.5 | 53.1 |
| 1984 | 15.7 | 50.4 |
| 1983 | 15.3 | 46.8 |
| 1982 | 14.1 | 54 |
| 1981 | 15.3 | 53.9 |
| 1980 | 15.9 | 51.6 |
| 1979 | 14.5 | 52.6 |
| 1978 | 16.5 | 56.4 |
| 1977 | 13.5 | 51.8 |
| 1976 | 13.8 | 52.8 |
| 1975 | 14 | 54.6 |
| 1974 | 14.8 | 52.7 |
| 1973 | 13.5 | 50.4 |
| 1972 | 13.7 | 51.8 |
| 1971 | 15.3 | 49.7 |
| 1970 | 14 | 50.4 |
| 1969 | 14.5 | 55.2 |
| 1968 | 13.8 | 51.7 |
| 1967 | 13.6 | 57.3 |
| 1966 | 13.2 | 52.9 |
| 1965 | 12.8 | 52.8 |
| 1964 | 13.2 | 52.2 |
| 1963 | 14.2 | 57.9 |
| 1962 | 15.5 | 53.3 |
| 1961 | 13.9 | 58.2 |
| 1960 | 14.9 | 55.2 |
| 1959 | 16.6 | 54.8 |
| 1958 | 14.4 | 56 |
| 1957 | 15.5 | 55.8 |
| 1956 | 16.7 | 59.1 |
| 1955 | 16.6 | 55.7 |
| 1954 | 15.7 | 54 |
| 1953 | 15.4 | 55.4 |
| 1952 | 16.6 | 57 |
| 1951 | 16 | 54.7 |
| 1950 | 15.3 | 59.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 意大利 | 韩国 |
|---|---|---|
| 2015 | 3021.7–40.4 | 68.656.8–82 |
| 2016 | 29.618–42.2 | 70.353.5–81.8 |
| 2017 | 31.820.2–43.7 | 70.559.5–82.9 |
| 2018 | 3122–44.3 | 69.156.9–81.2 |
| 2019 | 31.521.3–43.2 | 74.663.1–84.4 |
| 2020 | 31.619.7–44.3 | 7157.6–83 |
| 2021 | 3420.8–46.9 | 70.252.7–84.1 |
| 2022 | 37.121.3–50.6 | 72.563–81.2 |
| 2023 | 33.121.3–47.4 | 74.563.2–84.2 |
| 2024 | 35.521.6–48.4 | 73.558.6–87.1 |
| 2025 | 37.720.5–51.1 | 75.762.3–87.1 |
| 2026 | 38.926.6–52.2 | 7564–88.4 |
| 2027 | 34.322.4–49.7 | 74.163.4–88.9 |
| 2028 | 37.724.4–53.1 | 77.361.5–87.9 |
| 2029 | 37.824.9–55 | 75.463.1–86.7 |
| 2030 | 37.925.7–54.7 | 75.364.5–87.6 |
| 2031 | 37.223.8–51 | 76.763.6–87.3 |
| 2032 | 39.226.2–53.8 | 76.761–89.2 |
| 2033 | 40.426–50.3 | 78.860–92.7 |
| 2034 | 42.525.1–57.2 | 77.264.7–87.2 |
| 2035 | 42.728.9–58.3 | 8168.9–92.1 |
| 2036 | 41.127.7–59.9 | 81.964.1–95 |
| 2037 | 4328.1–54.8 | 78.465.8–89.3 |
| 2038 | 41.628.5–61.3 | 78.866.9–89.4 |
| 2039 | 4129.4–56.4 | 77.564.7–89.2 |
| 2040 | 42.428.1–59.1 | 80.567.4–92.7 |
| 2041 | 41.927.2–58.7 | 80.966.4–97.7 |
| 2042 | 43.529.6–59 | 82.469.1–95 |
| 2043 | 4528.7–59.5 | 83.268.5–97.9 |
| 2044 | 44.929.4–59.9 | 83.169.3–91.6 |
| 2045 | 45.230.3–59.2 | 8170.4–92.2 |
| 2046 | 4627.3–62.4 | 8668.3–95.2 |
| 2047 | 49.132.4–63.6 | 83.469.7–96.7 |
| 2048 | 46.228.3–65.7 | 82.769.2–95.2 |
| 2049 | 48.229.5–65.7 | 81.669–96.8 |
| 2050 | 49.536.4–64.4 | 81.569.8–93.8 |
| 2051 | 48.831.6–68.3 | 84.572.7–98.8 |
| 2052 | 50.330.9–68.1 | 83.167.8–98.5 |
| 2053 | 48.235.9–67 | 86.969.8–98.1 |
| 2054 | 49.435.3–66.1 | 84.773.3–97.5 |
| 2055 | 52.233.7–67.7 | 86.570.8–101.3 |
| 2056 | 50.836.2–71.6 | 85.874.5–99.8 |
| 2057 | 50.232.8–65.6 | 87.976.1–100.7 |
| 2058 | 55.337.5–70.8 | 86.275.2–99.4 |
| 2059 | 51.934.5–74.1 | 86.766.9–100.4 |
| 2060 | 52.938.2–68.1 | 86.371.9–101.9 |
| 2061 | 54.338.3–69.8 | 8974.8–99.5 |
| 2062 | 53.936.9–69 | 87.772.3–102.2 |
| 2063 | 56.437.6–72.1 | 86.774.6–101.2 |
| 2064 | 55.938.5–71.3 | 86.673.6–100.3 |
| 2065 | 5537.3–73.3 | 91.575.3–102.2 |
| 2066 | 53.935.8–73.8 | 89.272.6–100.5 |
| 2067 | 61.141.2–76.6 | 90.372.7–102.6 |
| 2068 | 56.241.7–73 | 90.473.8–106.4 |
| 2069 | 58.741.8–73 | 9174.5–102.5 |
| 2070 | 55.738.9–74.4 | 89.774.6–107 |
| 2071 | 59.637.8–76.6 | 92.674.9–107.9 |
| 2072 | 59.643.5–74.6 | 90.976.6–103.9 |
| 2073 | 56.939.4–71.6 | 91.376.2–104 |
| 2074 | 54.836.7–73.7 | 91.974.6–107 |
| 2075 | 56.941.8–75.4 | 94.576.4–103.7 |
| 2076 | 59.941.9–77.7 | 93.477.5–105.6 |
| 2077 | 57.437.9–74.1 | 95.776.3–107.2 |
| 2078 | 60.540.5–80.7 | 93.576.9–110.5 |
| 2079 | 60.637.1–83.3 | 91.179.2–105.7 |
| 2080 | 59.743.1–78 | 92.481.7–107.1 |
| 2081 | 5943.7–78.9 | 93.878–108.8 |
| 2082 | 63.945.5–80.2 | 96.279.9–110.1 |
| 2083 | 60.842–79.7 | 94.481.1–108 |
| 2084 | 62.547.3–82.1 | 91.574.4–107.3 |
| 2085 | 65.246.3–79 | 9481.4–107.4 |
| 2086 | 64.445.6–80.1 | 93.678.5–111.5 |
| 2087 | 63.743.8–84 | 94.480.9–113.5 |
| 2088 | 67.247.4–84.4 | 93.779.8–108.5 |
| 2089 | 64.546–82.9 | 94.478.9–107 |
| 2090 | 65.842.8–80.5 | 97.979.5–109 |
| 2091 | 66.745.3–84.7 | 95.280.6–107.7 |
| 2092 | 64.838.5–82.3 | 9580–106.3 |
| 2093 | 63.644.7–83 | 95.379.5–109.9 |
| 2094 | 62.445–82 | 92.279.8–111 |
| 2095 | 6643.6–83.5 | 94.884–112.2 |
| 2096 | 6542.9–85.8 | 100.481–113.2 |
| 2097 | 65.844.9–84.4 | 97.278.6–108.8 |
| 2098 | 64.647.9–84.2 | 97.479.9–110.4 |
| 2099 | 67.742.2–81.9 | 95.879.9–109.3 |
| 2100 | 65.142.5–83.2 | 96.381.6–113.8 |
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
意大利与韩国对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支意大利:2025 年为 GDP 的 1.89%韩国:2025 年为 GDP 的 2.6%
- 军费开支(美元)意大利:2025 年为 US$454亿韩国:2025 年为 US$489亿
- 人均军费开支意大利:2025 年为 US$813韩国:2025 年为 US$924
- 军费占政府支出比例意大利:2025 年为 3.7%(占政府支出)韩国:2025 年为 10.8%(占政府支出)
- 武装部队人员意大利:2020 年为 338,000 人韩国:2020 年为 569,000 人
- 国家实力意大利:2022 年为 0.96%(占全球实力)韩国:2022 年为 2%(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)韩国:2020 年为 2.01%(占劳动力)
- 武器进口意大利:2025 年为 5.66亿 TIV韩国:2025 年为 2.22亿 TIV
- 武器出口意大利:2025 年为 19.2亿 TIV韩国:2025 年为 20.2亿 TIV