阿富汗与中国对比
阿富汗与中国:热带夜
2014 年热带夜:阿富汗为 50.8 夜,中国为 41.5 夜(CMIP6 气候模型中位数模拟)。 2014 年阿富汗的数值较高,高出 9.3 夜,是中国的 1.22 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,阿富汗的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年阿富汗为 72.3 夜,中国为 63.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 阿富汗 | 中国 |
|---|---|---|
| 2014 | 50.8 | 41.5 |
| 2013 | 50.6 | 41.7 |
| 2012 | 50.1 | 40.8 |
| 2011 | 49.9 | 40.2 |
| 2010 | 48.2 | 40.5 |
| 2009 | 48.9 | 39.5 |
| 2008 | 48.8 | 39.2 |
| 2007 | 48.3 | 38.7 |
| 2006 | 48.7 | 39.5 |
| 2005 | 48.1 | 39.5 |
| 2004 | 47.9 | 39.7 |
| 2003 | 47.2 | 38.5 |
| 2002 | 49.4 | 38.8 |
| 2001 | 47 | 39.5 |
| 2000 | 47.9 | 38.6 |
| 1999 | 47.9 | 38.5 |
| 1998 | 46.8 | 37.6 |
| 1997 | 46.8 | 37.1 |
| 1996 | 45 | 36.6 |
| 1995 | 44.4 | 35.1 |
| 1994 | 44.6 | 34.9 |
| 1993 | 42.4 | 33.2 |
| 1992 | 42.5 | 32.3 |
| 1991 | 45.1 | 35.9 |
| 1990 | 45.5 | 36.4 |
| 1989 | 45.5 | 36.1 |
| 1988 | 44.3 | 35.1 |
| 1987 | 44.5 | 34.5 |
| 1986 | 44 | 34 |
| 1985 | 43.5 | 33.5 |
| 1984 | 43.4 | 33.4 |
| 1983 | 40.5 | 31.5 |
| 1982 | 43.1 | 34.1 |
| 1981 | 43.8 | 34.2 |
| 1980 | 43 | 34.3 |
| 1979 | 44 | 33.8 |
| 1978 | 43.1 | 34.8 |
| 1977 | 41.5 | 33.3 |
| 1976 | 41.6 | 32.7 |
| 1975 | 41.4 | 33.1 |
| 1974 | 41.6 | 33.3 |
| 1973 | 41.7 | 33.1 |
| 1972 | 42.1 | 32.6 |
| 1971 | 40.8 | 33 |
| 1970 | 41.6 | 32.4 |
| 1969 | 41.3 | 33.4 |
| 1968 | 40.8 | 32.8 |
| 1967 | 41.5 | 33.4 |
| 1966 | 41 | 33.4 |
| 1965 | 41.1 | 32.5 |
| 1964 | 41.3 | 32.1 |
| 1963 | 41.8 | 34.5 |
| 1962 | 41.8 | 34 |
| 1961 | 42.6 | 34.6 |
| 1960 | 42.1 | 34.1 |
| 1959 | 41.8 | 34 |
| 1958 | 43.3 | 35 |
| 1957 | 42.2 | 34.4 |
| 1956 | 42.3 | 34.6 |
| 1955 | 41.4 | 34.2 |
| 1954 | 42.5 | 34.2 |
| 1953 | 41.8 | 34.3 |
| 1952 | 42.9 | 34.3 |
| 1951 | 41.5 | 35.1 |
| 1950 | 42.8 | 34.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 阿富汗 | 中国 |
|---|---|---|
| 2015 | 52.244.8–59.8 | 42.334.8–49.8 |
| 2016 | 52.545–59.7 | 42.134.4–50 |
| 2017 | 52.345.8–58.8 | 43.135.3–51.6 |
| 2018 | 5244.6–59.3 | 42.335.5–49.5 |
| 2019 | 53.345.9–60.7 | 43.836.5–51.1 |
| 2020 | 54.347.1–61.2 | 43.736.8–51.1 |
| 2021 | 53.746.7–61.4 | 44.136–52.1 |
| 2022 | 53.146.2–61.6 | 44.737.5–52.7 |
| 2023 | 55.646–62.7 | 45.737.8–53.4 |
| 2024 | 5647.3–64 | 45.738.1–54 |
| 2025 | 55.947.9–65 | 46.337.5–54.8 |
| 2026 | 54.945.9–64.5 | 46.237.6–55.5 |
| 2027 | 55.948.7–64.2 | 46.138–54.9 |
| 2028 | 5647.4–64 | 46.438.4–54.3 |
| 2029 | 54.747.9–62.5 | 46.939.1–55.6 |
| 2030 | 56.749.3–63.8 | 47.138.8–55.3 |
| 2031 | 58.650.2–65.4 | 4738.8–56 |
| 2032 | 57.649.8–65.4 | 48.339.3–57.4 |
| 2033 | 57.749.1–65.5 | 47.939.7–56.6 |
| 2034 | 59.148.6–68.2 | 48.440.5–57.3 |
| 2035 | 60.251.4–67.7 | 49.740.8–58.6 |
| 2036 | 59.251.7–66.6 | 4940.1–58.2 |
| 2037 | 59.751.1–70 | 4941.2–57.6 |
| 2038 | 6051.9–67.2 | 50.542.4–59.3 |
| 2039 | 58.651.3–66 | 49.641.2–59.2 |
| 2040 | 59.651.8–68 | 50.942.4–60.4 |
| 2041 | 5951.1–68 | 51.342.5–61.1 |
| 2042 | 60.752.4–69.9 | 51.642–61.5 |
| 2043 | 59.351.2–68.5 | 50.742.7–61 |
| 2044 | 60.752.6–69.8 | 51.942.4–61.9 |
| 2045 | 61.152.7–69.7 | 51.542.8–61.1 |
| 2046 | 61.452.3–71.6 | 5343.7–62.7 |
| 2047 | 62.553.6–71.5 | 53.544.5–62.5 |
| 2048 | 63.354.7–72.3 | 53.144–62.6 |
| 2049 | 62.253.1–71.9 | 52.843.8–63.3 |
| 2050 | 63.754.4–73.1 | 53.644.4–63.8 |
| 2051 | 62.853.2–73.2 | 54.345.1–64.8 |
| 2052 | 64.254.7–73.4 | 53.444.6–63.2 |
| 2053 | 63.354.9–71.6 | 54.244.2–64.2 |
| 2054 | 64.355.6–73.4 | 54.545.3–64.8 |
| 2055 | 64.956.7–73.7 | 5545.1–65.8 |
| 2056 | 64.155.8–73.4 | 55.245.1–66.6 |
| 2057 | 65.555.1–75.6 | 54.844.9–65.7 |
| 2058 | 65.256.7–74.7 | 55.145.8–67.7 |
| 2059 | 64.556.1–73.6 | 55.345.1–67.2 |
| 2060 | 66.855.9–75.6 | 57.246.9–68.1 |
| 2061 | 65.857.4–73.2 | 56.546.6–66.3 |
| 2062 | 66.856.9–77.4 | 56.846.9–68.5 |
| 2063 | 67.359.1–76.6 | 57.247.2–68.6 |
| 2064 | 66.357.6–76.7 | 5747.1–67.7 |
| 2065 | 67.457.8–78.5 | 57.347.1–67.8 |
| 2066 | 6859.4–77.9 | 57.347.9–68.7 |
| 2067 | 69.258.5–79.9 | 57.546.4–68.2 |
| 2068 | 6858.5–77.7 | 58.748.5–70.5 |
| 2069 | 68.560.5–78.3 | 58.548.4–69 |
| 2070 | 6859.6–78.7 | 5847.6–71.7 |
| 2071 | 68.458.2–78.9 | 59.347.4–71.6 |
| 2072 | 68.558.7–79.3 | 59.248.1–71.5 |
| 2073 | 69.960.2–80.9 | 59.849.1–70.9 |
| 2074 | 69.260.9–79.3 | 59.648.7–71.1 |
| 2075 | 68.459.6–81.4 | 58.748.3–71.4 |
| 2076 | 69.457.9–81 | 60.249–70.9 |
| 2077 | 70.158.3–80.8 | 60.851.1–72.4 |
| 2078 | 67.958.5–82.4 | 59.648.8–72.4 |
| 2079 | 68.757.9–81.2 | 60.750.1–72.6 |
| 2080 | 69.459.3–82 | 59.950–72.3 |
| 2081 | 69.158.1–81.3 | 60.950–73.2 |
| 2082 | 70.960.1–83 | 6149.8–73.3 |
| 2083 | 70.960.3–82.8 | 61.251.2–73.6 |
| 2084 | 71.760.2–82.3 | 61.749.7–74.6 |
| 2085 | 70.260.1–85.4 | 61.250.8–75.2 |
| 2086 | 69.660.3–82.9 | 61.648.9–74.5 |
| 2087 | 71.362.8–84.1 | 61.650.6–75 |
| 2088 | 71.660.7–85.2 | 62.750.5–77.1 |
| 2089 | 72.361.4–83.9 | 61.950–75.2 |
| 2090 | 7160.2–83.4 | 62.551.4–73.7 |
| 2091 | 72.261.1–83.3 | 63.852–75.7 |
| 2092 | 72.261.6–83.3 | 63.251.2–75.1 |
| 2093 | 72.562.6–83.5 | 63.252–75.4 |
| 2094 | 72.962.2–85.3 | 6351.1–76.3 |
| 2095 | 73.761.1–84.3 | 63.952.8–76.4 |
| 2096 | 73.362.9–85.7 | 63.852.2–76.8 |
| 2097 | 70.960.6–84.3 | 62.750.7–75.1 |
| 2098 | 73.562.2–87.3 | 63.451.2–76.8 |
| 2099 | 72.761–84.1 | 63.851.9–76.1 |
| 2100 | 72.360.5–87.4 | 63.351.7–76.2 |
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
阿富汗与中国对比
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军用
- 军费开支阿富汗:2021 年为 GDP 的 1.83%中国:2025 年为 GDP 的 1.73%
- 军费开支(美元)阿富汗:1977 年为 US$855万中国:2025 年为 US$3350亿
- 人均军费开支阿富汗:2021 年为 US$7中国:2025 年为 US$237
- 军费占政府支出比例阿富汗:2020 年为 5%(占政府支出)中国:2025 年为 5.1%(占政府支出)
- 武装部队人员阿富汗:2020 年为 165,000 人中国:2020 年为 254万 人
- 国家实力阿富汗:2022 年为 0.29%(占全球实力)中国:2022 年为 23.41%(占全球实力)
- 武装部队占劳动力比例阿富汗:2020 年为 1.82%(占劳动力)中国:2020 年为 0.33%(占劳动力)
- 武器进口阿富汗:2021 年为 6500万 TIV中国:2025 年为 2.07亿 TIV
- 武器出口阿富汗:1992 年为 100万 TIV中国:2025 年为 8.8亿 TIV