法国与乌兹别克斯坦对比
法国与乌兹别克斯坦:35 °C 以上天数
2014 年35 °C 以上天数:法国为 0.3 天,乌兹别克斯坦为 51.1 天(CMIP6 气候模型中位数模拟)。 2014 年乌兹别克斯坦的数值较高,高出 50.8 天,是法国的 180 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,乌兹别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 年法国为 4.1 天,乌兹别克斯坦为 81.9 天。
逐年数据
每年天数 · CMIP6
| 年份 | 法国 | 乌兹别克斯坦 |
|---|---|---|
| 2014 | 0.3 | 51.1 |
| 2013 | 0 | 47.8 |
| 2012 | 0.1 | 48 |
| 2011 | 0.1 | 47.1 |
| 2010 | 0.3 | 44 |
| 2009 | 0.1 | 48.2 |
| 2008 | 0.3 | 45.4 |
| 2007 | 0 | 46 |
| 2006 | 0.2 | 46.4 |
| 2005 | 0.2 | 45.6 |
| 2004 | 0.1 | 44.2 |
| 2003 | 0.1 | 44.8 |
| 2002 | 0 | 46.3 |
| 2001 | 0.1 | 43.2 |
| 2000 | 0 | 43.1 |
| 1999 | 0 | 43 |
| 1998 | 0 | 42.4 |
| 1997 | 0 | 43.2 |
| 1996 | 0 | 41.3 |
| 1995 | 0 | 39 |
| 1994 | 0 | 37.3 |
| 1993 | 0 | 34.1 |
| 1992 | 0 | 34.7 |
| 1991 | 0 | 39.2 |
| 1990 | 0 | 40.5 |
| 1989 | 0 | 38.5 |
| 1988 | 0 | 39 |
| 1987 | 0 | 40.2 |
| 1986 | 0 | 35 |
| 1985 | 0 | 39.8 |
| 1984 | 0 | 33.6 |
| 1983 | 0 | 29.4 |
| 1982 | 0 | 38.2 |
| 1981 | 0 | 37.2 |
| 1980 | 0 | 36 |
| 1979 | 0 | 37.4 |
| 1978 | 0 | 33.8 |
| 1977 | 0 | 36.3 |
| 1976 | 0 | 34.8 |
| 1975 | 0 | 35 |
| 1974 | 0 | 32.4 |
| 1973 | 0 | 32.8 |
| 1972 | 0 | 35.2 |
| 1971 | 0 | 33.3 |
| 1970 | 0 | 34.1 |
| 1969 | 0 | 34.9 |
| 1968 | 0 | 32.2 |
| 1967 | 0 | 33.9 |
| 1966 | 0 | 33.5 |
| 1965 | 0 | 33.5 |
| 1964 | 0 | 34 |
| 1963 | 0 | 33.9 |
| 1962 | 0 | 35.1 |
| 1961 | 0 | 35.6 |
| 1960 | 0 | 35.1 |
| 1959 | 0 | 35.5 |
| 1958 | 0 | 39.4 |
| 1957 | 0 | 36.9 |
| 1956 | 0 | 36 |
| 1955 | 0 | 35 |
| 1954 | 0 | 37.3 |
| 1953 | 0 | 33.1 |
| 1952 | 0 | 36.8 |
| 1951 | 0 | 37.1 |
| 1950 | 0 | 36.5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 法国 | 乌兹别克斯坦 |
|---|---|---|
| 2015 | 0.10–1.6 | 53.242.8–65.6 |
| 2016 | 0.30–1.8 | 51.440.4–66 |
| 2017 | 0.10–2.1 | 53.240.4–62.3 |
| 2018 | 0.20–2.3 | 53.238.2–66 |
| 2019 | 0.20–2 | 52.742.1–65.6 |
| 2020 | 0.30–2.5 | 51.942.7–65.8 |
| 2021 | 0.20–2.2 | 53.139.8–65.5 |
| 2022 | 0.30–2.7 | 53.342.7–65.5 |
| 2023 | 0.30–2.7 | 58.444.9–67.8 |
| 2024 | 0.30–1.7 | 56.440.8–67.7 |
| 2025 | 0.30–2.6 | 57.446.6–69.2 |
| 2026 | 0.50–2.9 | 55.742.1–68.3 |
| 2027 | 0.30–2.5 | 55.544.4–71.7 |
| 2028 | 0.50–3 | 57.445.1–72 |
| 2029 | 0.40–2.7 | 54.542.4–70.3 |
| 2030 | 0.50–2.4 | 58.245.9–69.5 |
| 2031 | 0.40–1.9 | 61.950.6–73.3 |
| 2032 | 0.40–3.4 | 62.247.6–75.3 |
| 2033 | 0.60–3.9 | 6046.5–75.7 |
| 2034 | 0.80–6.2 | 57.644.4–75 |
| 2035 | 0.60–3.2 | 62.245–74.7 |
| 2036 | 0.60–4 | 60.946.3–74.3 |
| 2037 | 0.70–3.6 | 62.250–73.5 |
| 2038 | 0.80–4 | 64.348.8–75.4 |
| 2039 | 0.70–3 | 59.847.7–72.4 |
| 2040 | 0.70–3.5 | 63.946.1–78.6 |
| 2041 | 1.10–5.1 | 6549–76.7 |
| 2042 | 0.70–4 | 6449.5–78.2 |
| 2043 | 0.50–3.7 | 61.949–74.6 |
| 2044 | 0.60.1–4.2 | 65.950.6–79.4 |
| 2045 | 0.80.1–4.3 | 6447.4–78.3 |
| 2046 | 1.20–4.4 | 65.252.7–79.3 |
| 2047 | 1.40.1–5.1 | 66.651.9–82.5 |
| 2048 | 0.70–4.5 | 6751.1–79.9 |
| 2049 | 1.30.1–5.8 | 67.954.2–81.7 |
| 2050 | 20.2–5.8 | 70.556.6–84.2 |
| 2051 | 10.1–5.6 | 65.853.5–78.7 |
| 2052 | 1.30.1–5.4 | 68.655–80.8 |
| 2053 | 1.40.1–5.7 | 69.454–81.4 |
| 2054 | 1.50.1–5.9 | 70.454.4–83.4 |
| 2055 | 1.30.1–3.7 | 70.353.6–84.8 |
| 2056 | 1.50.2–6.2 | 73.355.5–86.8 |
| 2057 | 1.50.2–4.8 | 73.259.6–86 |
| 2058 | 2.10.1–8.3 | 70.652.7–86.7 |
| 2059 | 1.80.1–6.9 | 68.656.6–84.9 |
| 2060 | 2.20.2–6.9 | 72.258.7–85.6 |
| 2061 | 2.20.1–8.2 | 70.457.8–84.3 |
| 2062 | 20.2–6 | 72.155.1–85.7 |
| 2063 | 2.30.2–7.6 | 73.954.1–87.6 |
| 2064 | 20.2–8.6 | 70.648.3–88.6 |
| 2065 | 1.80.1–10.8 | 77.458.9–90 |
| 2066 | 20.1–5.8 | 70.459.3–86.3 |
| 2067 | 3.60.4–12 | 72.456.1–89.4 |
| 2068 | 2.30.1–8.2 | 7460.3–88.2 |
| 2069 | 2.90.5–8.4 | 74.658.2–88.4 |
| 2070 | 2.90.2–13.7 | 73.260–90 |
| 2071 | 3.10.1–9.8 | 75.260.7–91.1 |
| 2072 | 3.10.6–9.6 | 74.557–92.2 |
| 2073 | 2.40.2–8.9 | 76.259.1–94.8 |
| 2074 | 1.90.1–7.2 | 77.560.3–92.6 |
| 2075 | 2.60.3–8 | 76.162.2–89.9 |
| 2076 | 3.10.3–10.4 | 7458.2–94.5 |
| 2077 | 2.40.3–10.4 | 77.461.9–91.9 |
| 2078 | 2.10.3–10.7 | 7761.5–91.6 |
| 2079 | 1.80.1–7.5 | 74.661.6–92.1 |
| 2080 | 2.80.4–10.2 | 76.660.5–94.8 |
| 2081 | 3.30.2–10 | 76.961–92.6 |
| 2082 | 3.40.4–11.1 | 7861.8–91.8 |
| 2083 | 2.90.4–9.4 | 79.462.4–94.6 |
| 2084 | 2.30.4–9.7 | 77.458.7–92.4 |
| 2085 | 3.50.5–9.6 | 77.159.8–95.9 |
| 2086 | 3.50.3–11.8 | 78.758.5–93.6 |
| 2087 | 3.50.5–12.9 | 78.564.7–93.2 |
| 2088 | 4.50.7–18.7 | 78.961.2–95 |
| 2089 | 3.50.7–9.5 | 79.660.3–96.8 |
| 2090 | 3.50.5–11.9 | 81.262.6–99 |
| 2091 | 4.70.3–11.3 | 81.162.7–98.4 |
| 2092 | 2.60.3–9.2 | 82.461.6–94.6 |
| 2093 | 2.30.4–7.5 | 80.463.8–93.7 |
| 2094 | 4.30.6–11.5 | 80.465.6–100.1 |
| 2095 | 3.60.2–13.1 | 82.161.5–97.2 |
| 2096 | 3.50.4–11.8 | 83.867.6–98.6 |
| 2097 | 30.4–12.7 | 82.366.7–95.9 |
| 2098 | 3.20.4–9.9 | 83.565.5–96.9 |
| 2099 | 3.90.5–12.1 | 82.164.4–97.6 |
| 2100 | 4.10.5–11.2 | 81.964.6–101.3 |
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
法国与乌兹别克斯坦对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支法国:2025 年为 GDP 的 2.03%乌兹别克斯坦:2018 年为 GDP 的 2.49%
- 军费开支(美元)法国:2025 年为 US$645亿乌兹别克斯坦:2018 年为 US$17.7亿
- 人均军费开支法国:2025 年为 US$1,021乌兹别克斯坦:2018 年为 US$45
- 军费占政府支出比例法国:2025 年为 3.5%(占政府支出)乌兹别克斯坦:2018 年为 11.1%(占政府支出)
- 武装部队人员法国:2020 年为 304,000 人乌兹别克斯坦:2020 年为 68,000 人
- 国家实力法国:2022 年为 1.09%(占全球实力)乌兹别克斯坦:2022 年为 0.29%(占全球实力)
- 武装部队占劳动力比例法国:2020 年为 1%(占劳动力)乌兹别克斯坦:2020 年为 0.52%(占劳动力)
- 武器进口法国:2025 年为 2.36亿 TIV乌兹别克斯坦:2025 年为 3200万 TIV
- 武器出口法国:2025 年为 33.7亿 TIV乌兹别克斯坦:2016 年为 6800万 TIV