捷克与塔吉克斯坦对比
捷克与塔吉克斯坦:热带夜
2014 年热带夜:捷克为 0.3 夜,塔吉克斯坦为 12.1 夜(CMIP6 气候模型中位数模拟)。 2014 年塔吉克斯坦的数值较高,高出 11.8 夜,是捷克的 39 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,塔吉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 年捷克为 7.2 夜,塔吉克斯坦为 21.8 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 捷克 | 塔吉克斯坦 |
|---|---|---|
| 2014 | 0.3 | 12.1 |
| 2013 | 0.1 | 12.2 |
| 2012 | 0.1 | 11.7 |
| 2011 | 0.3 | 11.6 |
| 2010 | 0.2 | 11 |
| 2009 | 0.1 | 11.7 |
| 2008 | 0.1 | 11.1 |
| 2007 | 0 | 11.4 |
| 2006 | 0.1 | 11.3 |
| 2005 | 0.2 | 11 |
| 2004 | 0.2 | 10.9 |
| 2003 | 0.1 | 11 |
| 2002 | 0 | 11.5 |
| 2001 | 0.1 | 10.8 |
| 2000 | 0.1 | 10.7 |
| 1999 | 0.1 | 10.8 |
| 1998 | 0 | 10.4 |
| 1997 | 0 | 10.3 |
| 1996 | 0.1 | 10.2 |
| 1995 | 0 | 9.9 |
| 1994 | 0 | 9.8 |
| 1993 | 0 | 8.9 |
| 1992 | 0 | 8.8 |
| 1991 | 0 | 9.6 |
| 1990 | 0.1 | 10.1 |
| 1989 | 0 | 10.1 |
| 1988 | 0 | 9.3 |
| 1987 | 0 | 9.5 |
| 1986 | 0 | 8.9 |
| 1985 | 0 | 9 |
| 1984 | 0 | 8.6 |
| 1983 | 0 | 7.9 |
| 1982 | 0 | 9.2 |
| 1981 | 0 | 9.4 |
| 1980 | 0 | 9 |
| 1979 | 0 | 9.1 |
| 1978 | 0 | 8.9 |
| 1977 | 0 | 8.4 |
| 1976 | 0 | 8.4 |
| 1975 | 0 | 8.7 |
| 1974 | 0 | 8.4 |
| 1973 | 0 | 8.5 |
| 1972 | 0 | 9 |
| 1971 | 0 | 8.4 |
| 1970 | 0 | 8.3 |
| 1969 | 0 | 8.6 |
| 1968 | 0 | 8 |
| 1967 | 0 | 8.6 |
| 1966 | 0 | 8.3 |
| 1965 | 0 | 8.3 |
| 1964 | 0 | 8.5 |
| 1963 | 0 | 8.6 |
| 1962 | 0 | 8.7 |
| 1961 | 0 | 8.8 |
| 1960 | 0 | 8.8 |
| 1959 | 0.1 | 8.7 |
| 1958 | 0 | 9.6 |
| 1957 | 0 | 9 |
| 1956 | 0 | 9 |
| 1955 | 0 | 8.6 |
| 1954 | 0 | 9 |
| 1953 | 0 | 8.4 |
| 1952 | 0 | 9 |
| 1951 | 0 | 8.6 |
| 1950 | 0 | 9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 捷克 | 塔吉克斯坦 |
|---|---|---|
| 2015 | 0.20–2.3 | 13.210–15.9 |
| 2016 | 0.30–2.8 | 12.910.5–16 |
| 2017 | 0.30–3.3 | 13.210.7–16 |
| 2018 | 0.50.1–2.9 | 12.99.7–16.3 |
| 2019 | 0.50–2.6 | 13.310.4–16.5 |
| 2020 | 0.60–3.6 | 13.410.9–17 |
| 2021 | 0.40–3.1 | 13.910.7–17.4 |
| 2022 | 0.60–3.6 | 14.110.9–17.6 |
| 2023 | 0.30–4.1 | 14.411.3–17 |
| 2024 | 0.50–3.4 | 14.510.6–17.8 |
| 2025 | 0.80–4.7 | 14.911.7–18.3 |
| 2026 | 0.70–4.4 | 1410.7–18 |
| 2027 | 0.70–3.5 | 14.411.4–18.2 |
| 2028 | 0.60.1–4.3 | 14.811.6–18.6 |
| 2029 | 10–5.4 | 14.110.9–18 |
| 2030 | 0.70–4.6 | 14.911.8–17.9 |
| 2031 | 0.80–4.5 | 15.412.3–18.6 |
| 2032 | 0.90–5.8 | 15.312.1–19.1 |
| 2033 | 0.70–4.5 | 15.311.6–19.4 |
| 2034 | 1.20–6.8 | 15.211.4–19.5 |
| 2035 | 1.20.1–4.2 | 16.112–19.5 |
| 2036 | 1.80.1–7.4 | 15.512.4–19.6 |
| 2037 | 1.50.1–6.6 | 15.912.6–19.2 |
| 2038 | 10–7.7 | 16.112.9–19.6 |
| 2039 | 2.90.1–8.1 | 15.612.2–19.1 |
| 2040 | 20.2–7 | 16.212.5–20.4 |
| 2041 | 1.70.1–5.8 | 16.612.7–20.2 |
| 2042 | 1.70.1–7.3 | 16.512.6–20.2 |
| 2043 | 2.10.1–7.9 | 15.812.1–20.7 |
| 2044 | 1.90.2–9.2 | 16.613.6–20.7 |
| 2045 | 2.20.1–7.2 | 16.812.9–20.4 |
| 2046 | 2.40.3–10.2 | 1712.8–21.9 |
| 2047 | 2.90–8.6 | 1713.2–21.7 |
| 2048 | 3.30.1–12.7 | 16.813.7–21.1 |
| 2049 | 3.50–9.2 | 16.913.7–21.4 |
| 2050 | 2.20.2–7.9 | 17.614–22.1 |
| 2051 | 1.90–9.3 | 17.513.7–22.9 |
| 2052 | 2.50.1–9.4 | 17.413.9–22.1 |
| 2053 | 1.80.2–6.1 | 17.814.4–21.5 |
| 2054 | 20.2–8.4 | 17.914.3–22.4 |
| 2055 | 2.70.2–11 | 18.214.6–22.5 |
| 2056 | 3.20.3–13.3 | 18.514.2–22.9 |
| 2057 | 3.30.2–10 | 18.914.2–23.2 |
| 2058 | 4.10.1–13 | 18.314.3–23.5 |
| 2059 | 3.90.1–15.1 | 18.114.5–23.3 |
| 2060 | 3.30.4–12.3 | 18.714.3–23.3 |
| 2061 | 4.20.9–11.4 | 18.514.1–22.4 |
| 2062 | 3.20.4–11.3 | 1914.9–24.2 |
| 2063 | 4.70.7–13.6 | 1914.8–23.3 |
| 2064 | 40.4–11.6 | 18.713.9–23.5 |
| 2065 | 50.3–12.9 | 19.515.3–24.9 |
| 2066 | 5.40.6–11.8 | 19.515.9–23.6 |
| 2067 | 5.30.4–15.3 | 19.915.5–25 |
| 2068 | 3.70.5–10.3 | 19.815.8–24.2 |
| 2069 | 4.70.4–13 | 19.716–24.2 |
| 2070 | 3.90.2–14.6 | 19.516–25.2 |
| 2071 | 3.50.3–14.7 | 19.516–25.1 |
| 2072 | 5.11.3–11.9 | 19.315.4–25.5 |
| 2073 | 50.8–13.8 | 19.915.8–25.6 |
| 2074 | 3.90.3–15 | 20.116.7–25.4 |
| 2075 | 5.40.6–16.8 | 19.516–25.6 |
| 2076 | 60.4–18.6 | 20.114.4–25.3 |
| 2077 | 4.60.9–15.6 | 20.615.5–27 |
| 2078 | 6.60.5–17.7 | 2015.3–27.2 |
| 2079 | 6.80.2–24.8 | 19.414.9–25.5 |
| 2080 | 6.71.4–15.8 | 20.315.3–26.6 |
| 2081 | 5.30.7–18.2 | 19.815.7–25.8 |
| 2082 | 7.51.2–23.7 | 20.716.3–26.1 |
| 2083 | 5.60.5–14.7 | 20.916.3–26.4 |
| 2084 | 5.40.5–14.1 | 20.615.4–26.5 |
| 2085 | 6.30.5–15.8 | 20.515.9–27.5 |
| 2086 | 6.10.6–18.8 | 20.715.6–26.8 |
| 2087 | 8.60.8–20.4 | 20.917.3–25.8 |
| 2088 | 6.11.3–18.1 | 21.115.5–26.9 |
| 2089 | 6.90.8–22.6 | 21.216.7–26.7 |
| 2090 | 5.10.9–24.8 | 2115.6–26.7 |
| 2091 | 6.70.8–21.6 | 2216.7–27.4 |
| 2092 | 7.21–17.8 | 21.416.7–26.6 |
| 2093 | 5.30.4–17 | 21.716.9–26.7 |
| 2094 | 9.90.9–17.1 | 21.817–28 |
| 2095 | 8.10.4–19.4 | 21.916.8–27.4 |
| 2096 | 5.90.3–15.9 | 22.417.9–27.9 |
| 2097 | 4.90.3–18.4 | 21.817.2–27.4 |
| 2098 | 81.2–19.4 | 22.317–28.6 |
| 2099 | 7.50.5–22.2 | 22.217.1–27.3 |
| 2100 | 7.21.6–19.4 | 21.816.3–28.6 |
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
捷克与塔吉克斯坦对比
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人口与社会
经济
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冲突
军用
- 军费开支捷克:2025 年为 GDP 的 1.84%塔吉克斯坦:2025 年为 GDP 的 1.47%
- 军费开支(美元)捷克:2025 年为 US$64.9亿塔吉克斯坦:2025 年为 US$2.2亿
- 人均军费开支捷克:2025 年为 US$660塔吉克斯坦:2025 年为 US$23
- 军费占政府支出比例捷克:2025 年为 4.2%(占政府支出)塔吉克斯坦:2025 年为 4.7%(占政府支出)
- 武装部队人员捷克:2020 年为 27,000 人塔吉克斯坦:2020 年为 17,000 人
- 国家实力捷克:2022 年为 0.16%(占全球实力)塔吉克斯坦:2022 年为 0.05%(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)塔吉克斯坦:2020 年为 0.75%(占劳动力)
- 武器进口捷克:2025 年为 1900万 TIV塔吉克斯坦:2025 年为 7500万 TIV