捷克与意大利对比
捷克与意大利:热带夜
2014 年热带夜:捷克为 0.3 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 26 夜,是捷克的 85 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 年捷克为 7.2 夜,意大利为 65.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 捷克 | 意大利 |
|---|---|---|
| 2014 | 0.3 | 26.3 |
| 2013 | 0.1 | 24.7 |
| 2012 | 0.1 | 24.8 |
| 2011 | 0.3 | 24.6 |
| 2010 | 0.2 | 27.1 |
| 2009 | 0.1 | 23.7 |
| 2008 | 0.1 | 24.1 |
| 2007 | 0 | 21.5 |
| 2006 | 0.1 | 24.6 |
| 2005 | 0.2 | 22.5 |
| 2004 | 0.2 | 24.5 |
| 2003 | 0.1 | 23.8 |
| 2002 | 0 | 20.6 |
| 2001 | 0.1 | 20.8 |
| 2000 | 0.1 | 21.7 |
| 1999 | 0.1 | 20.3 |
| 1998 | 0 | 18.9 |
| 1997 | 0 | 18.9 |
| 1996 | 0.1 | 18.9 |
| 1995 | 0 | 17.9 |
| 1994 | 0 | 17.4 |
| 1993 | 0 | 16.3 |
| 1992 | 0 | 15.1 |
| 1991 | 0 | 18 |
| 1990 | 0.1 | 18.2 |
| 1989 | 0 | 16.6 |
| 1988 | 0 | 15.5 |
| 1987 | 0 | 16 |
| 1986 | 0 | 15 |
| 1985 | 0 | 14.5 |
| 1984 | 0 | 15.7 |
| 1983 | 0 | 15.3 |
| 1982 | 0 | 14.1 |
| 1981 | 0 | 15.3 |
| 1980 | 0 | 15.9 |
| 1979 | 0 | 14.5 |
| 1978 | 0 | 16.5 |
| 1977 | 0 | 13.5 |
| 1976 | 0 | 13.8 |
| 1975 | 0 | 14 |
| 1974 | 0 | 14.8 |
| 1973 | 0 | 13.5 |
| 1972 | 0 | 13.7 |
| 1971 | 0 | 15.3 |
| 1970 | 0 | 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 | 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 | 捷克 | 意大利 |
|---|---|---|
| 2015 | 0.20–2.3 | 3021.7–40.4 |
| 2016 | 0.30–2.8 | 29.618–42.2 |
| 2017 | 0.30–3.3 | 31.820.2–43.7 |
| 2018 | 0.50.1–2.9 | 3122–44.3 |
| 2019 | 0.50–2.6 | 31.521.3–43.2 |
| 2020 | 0.60–3.6 | 31.619.7–44.3 |
| 2021 | 0.40–3.1 | 3420.8–46.9 |
| 2022 | 0.60–3.6 | 37.121.3–50.6 |
| 2023 | 0.30–4.1 | 33.121.3–47.4 |
| 2024 | 0.50–3.4 | 35.521.6–48.4 |
| 2025 | 0.80–4.7 | 37.720.5–51.1 |
| 2026 | 0.70–4.4 | 38.926.6–52.2 |
| 2027 | 0.70–3.5 | 34.322.4–49.7 |
| 2028 | 0.60.1–4.3 | 37.724.4–53.1 |
| 2029 | 10–5.4 | 37.824.9–55 |
| 2030 | 0.70–4.6 | 37.925.7–54.7 |
| 2031 | 0.80–4.5 | 37.223.8–51 |
| 2032 | 0.90–5.8 | 39.226.2–53.8 |
| 2033 | 0.70–4.5 | 40.426–50.3 |
| 2034 | 1.20–6.8 | 42.525.1–57.2 |
| 2035 | 1.20.1–4.2 | 42.728.9–58.3 |
| 2036 | 1.80.1–7.4 | 41.127.7–59.9 |
| 2037 | 1.50.1–6.6 | 4328.1–54.8 |
| 2038 | 10–7.7 | 41.628.5–61.3 |
| 2039 | 2.90.1–8.1 | 4129.4–56.4 |
| 2040 | 20.2–7 | 42.428.1–59.1 |
| 2041 | 1.70.1–5.8 | 41.927.2–58.7 |
| 2042 | 1.70.1–7.3 | 43.529.6–59 |
| 2043 | 2.10.1–7.9 | 4528.7–59.5 |
| 2044 | 1.90.2–9.2 | 44.929.4–59.9 |
| 2045 | 2.20.1–7.2 | 45.230.3–59.2 |
| 2046 | 2.40.3–10.2 | 4627.3–62.4 |
| 2047 | 2.90–8.6 | 49.132.4–63.6 |
| 2048 | 3.30.1–12.7 | 46.228.3–65.7 |
| 2049 | 3.50–9.2 | 48.229.5–65.7 |
| 2050 | 2.20.2–7.9 | 49.536.4–64.4 |
| 2051 | 1.90–9.3 | 48.831.6–68.3 |
| 2052 | 2.50.1–9.4 | 50.330.9–68.1 |
| 2053 | 1.80.2–6.1 | 48.235.9–67 |
| 2054 | 20.2–8.4 | 49.435.3–66.1 |
| 2055 | 2.70.2–11 | 52.233.7–67.7 |
| 2056 | 3.20.3–13.3 | 50.836.2–71.6 |
| 2057 | 3.30.2–10 | 50.232.8–65.6 |
| 2058 | 4.10.1–13 | 55.337.5–70.8 |
| 2059 | 3.90.1–15.1 | 51.934.5–74.1 |
| 2060 | 3.30.4–12.3 | 52.938.2–68.1 |
| 2061 | 4.20.9–11.4 | 54.338.3–69.8 |
| 2062 | 3.20.4–11.3 | 53.936.9–69 |
| 2063 | 4.70.7–13.6 | 56.437.6–72.1 |
| 2064 | 40.4–11.6 | 55.938.5–71.3 |
| 2065 | 50.3–12.9 | 5537.3–73.3 |
| 2066 | 5.40.6–11.8 | 53.935.8–73.8 |
| 2067 | 5.30.4–15.3 | 61.141.2–76.6 |
| 2068 | 3.70.5–10.3 | 56.241.7–73 |
| 2069 | 4.70.4–13 | 58.741.8–73 |
| 2070 | 3.90.2–14.6 | 55.738.9–74.4 |
| 2071 | 3.50.3–14.7 | 59.637.8–76.6 |
| 2072 | 5.11.3–11.9 | 59.643.5–74.6 |
| 2073 | 50.8–13.8 | 56.939.4–71.6 |
| 2074 | 3.90.3–15 | 54.836.7–73.7 |
| 2075 | 5.40.6–16.8 | 56.941.8–75.4 |
| 2076 | 60.4–18.6 | 59.941.9–77.7 |
| 2077 | 4.60.9–15.6 | 57.437.9–74.1 |
| 2078 | 6.60.5–17.7 | 60.540.5–80.7 |
| 2079 | 6.80.2–24.8 | 60.637.1–83.3 |
| 2080 | 6.71.4–15.8 | 59.743.1–78 |
| 2081 | 5.30.7–18.2 | 5943.7–78.9 |
| 2082 | 7.51.2–23.7 | 63.945.5–80.2 |
| 2083 | 5.60.5–14.7 | 60.842–79.7 |
| 2084 | 5.40.5–14.1 | 62.547.3–82.1 |
| 2085 | 6.30.5–15.8 | 65.246.3–79 |
| 2086 | 6.10.6–18.8 | 64.445.6–80.1 |
| 2087 | 8.60.8–20.4 | 63.743.8–84 |
| 2088 | 6.11.3–18.1 | 67.247.4–84.4 |
| 2089 | 6.90.8–22.6 | 64.546–82.9 |
| 2090 | 5.10.9–24.8 | 65.842.8–80.5 |
| 2091 | 6.70.8–21.6 | 66.745.3–84.7 |
| 2092 | 7.21–17.8 | 64.838.5–82.3 |
| 2093 | 5.30.4–17 | 63.644.7–83 |
| 2094 | 9.90.9–17.1 | 62.445–82 |
| 2095 | 8.10.4–19.4 | 6643.6–83.5 |
| 2096 | 5.90.3–15.9 | 6542.9–85.8 |
| 2097 | 4.90.3–18.4 | 65.844.9–84.4 |
| 2098 | 81.2–19.4 | 64.647.9–84.2 |
| 2099 | 7.50.5–22.2 | 67.742.2–81.9 |
| 2100 | 7.21.6–19.4 | 65.142.5–83.2 |
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
捷克与意大利对比
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军用
- 军费开支捷克:2025 年为 GDP 的 1.84%意大利:2025 年为 GDP 的 1.89%
- 军费开支(美元)捷克:2025 年为 US$64.9亿意大利:2025 年为 US$454亿
- 人均军费开支捷克:2025 年为 US$660意大利:2025 年为 US$813
- 军费占政府支出比例捷克:2025 年为 4.2%(占政府支出)意大利:2025 年为 3.7%(占政府支出)
- 武装部队人员捷克:2020 年为 27,000 人意大利:2020 年为 338,000 人
- 国家实力捷克:2022 年为 0.16%(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捷克:2020 年为 0.51%(占劳动力)意大利:2020 年为 1.35%(占劳动力)
- 武器进口捷克:2025 年为 1900万 TIV意大利:2025 年为 5.66亿 TIV
- 武器出口捷克:2025 年为 1.37亿 TIV意大利:2025 年为 19.2亿 TIV