中国与西班牙对比
中国与西班牙:热带夜
2014 年热带夜:中国为 41.5 夜,西班牙为 16.8 夜(CMIP6 气候模型中位数模拟)。 2014 年中国的数值较高,高出 24.6 夜,是西班牙的 2.46 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,中国的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年中国为 63.3 夜,西班牙为 51.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 中国 | 西班牙 |
|---|---|---|
| 2014 | 41.5 | 16.8 |
| 2013 | 41.7 | 17.9 |
| 2012 | 40.8 | 16.4 |
| 2011 | 40.2 | 16.2 |
| 2010 | 40.5 | 17.5 |
| 2009 | 39.5 | 16.2 |
| 2008 | 39.2 | 16.5 |
| 2007 | 38.7 | 15.3 |
| 2006 | 39.5 | 17.6 |
| 2005 | 39.5 | 16.5 |
| 2004 | 39.7 | 16.4 |
| 2003 | 38.5 | 14.5 |
| 2002 | 38.8 | 14.9 |
| 2001 | 39.5 | 15.6 |
| 2000 | 38.6 | 13.8 |
| 1999 | 38.5 | 13.9 |
| 1998 | 37.6 | 13.5 |
| 1997 | 37.1 | 12.7 |
| 1996 | 36.6 | 12.9 |
| 1995 | 35.1 | 11.4 |
| 1994 | 34.9 | 12.1 |
| 1993 | 33.2 | 11 |
| 1992 | 32.3 | 9.5 |
| 1991 | 35.9 | 12.3 |
| 1990 | 36.4 | 13.1 |
| 1989 | 36.1 | 11.5 |
| 1988 | 35.1 | 12.3 |
| 1987 | 34.5 | 11.1 |
| 1986 | 34 | 9.2 |
| 1985 | 33.5 | 8.9 |
| 1984 | 33.4 | 8.9 |
| 1983 | 31.5 | 9.5 |
| 1982 | 34.1 | 10 |
| 1981 | 34.2 | 10.1 |
| 1980 | 34.3 | 9.6 |
| 1979 | 33.8 | 10.5 |
| 1978 | 34.8 | 11.1 |
| 1977 | 33.3 | 9.7 |
| 1976 | 32.7 | 8.3 |
| 1975 | 33.1 | 8.7 |
| 1974 | 33.3 | 10 |
| 1973 | 33.1 | 8.9 |
| 1972 | 32.6 | 9.6 |
| 1971 | 33 | 8.4 |
| 1970 | 32.4 | 8 |
| 1969 | 33.4 | 9.2 |
| 1968 | 32.8 | 9 |
| 1967 | 33.4 | 8.8 |
| 1966 | 33.4 | 8.1 |
| 1965 | 32.5 | 7.6 |
| 1964 | 32.1 | 10.1 |
| 1963 | 34.5 | 8.7 |
| 1962 | 34 | 9.5 |
| 1961 | 34.6 | 9.4 |
| 1960 | 34.1 | 9.3 |
| 1959 | 34 | 10.2 |
| 1958 | 35 | 9.7 |
| 1957 | 34.4 | 9.5 |
| 1956 | 34.6 | 10.5 |
| 1955 | 34.2 | 10.4 |
| 1954 | 34.2 | 9.8 |
| 1953 | 34.3 | 9 |
| 1952 | 34.3 | 10.5 |
| 1951 | 35.1 | 10.2 |
| 1950 | 34.9 | 11.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 中国 | 西班牙 |
|---|---|---|
| 2015 | 42.334.8–49.8 | 20.413.3–30.2 |
| 2016 | 42.134.4–50 | 20.113.2–33.4 |
| 2017 | 43.135.3–51.6 | 21.313.3–31.1 |
| 2018 | 42.335.5–49.5 | 22.815.6–34.2 |
| 2019 | 43.836.5–51.1 | 22.714.6–33.6 |
| 2020 | 43.736.8–51.1 | 22.314.2–32.8 |
| 2021 | 44.136–52.1 | 23.114.2–34.2 |
| 2022 | 44.737.5–52.7 | 26.515–37.6 |
| 2023 | 45.737.8–53.4 | 25.215.5–35.2 |
| 2024 | 45.738.1–54 | 25.216.8–37 |
| 2025 | 46.337.5–54.8 | 24.914–36.5 |
| 2026 | 46.237.6–55.5 | 24.814.9–36.8 |
| 2027 | 46.138–54.9 | 26.817–38.3 |
| 2028 | 46.438.4–54.3 | 27.315.8–39.5 |
| 2029 | 46.939.1–55.6 | 2816–41.8 |
| 2030 | 47.138.8–55.3 | 27.816.8–38 |
| 2031 | 4738.8–56 | 2817–39 |
| 2032 | 48.339.3–57.4 | 29.720.5–40.3 |
| 2033 | 47.939.7–56.6 | 28.920–39.2 |
| 2034 | 48.440.5–57.3 | 31.419.3–44.8 |
| 2035 | 49.740.8–58.6 | 30.619.2–43.3 |
| 2036 | 4940.1–58.2 | 30.721.4–43.8 |
| 2037 | 4941.2–57.6 | 31.319.8–41.7 |
| 2038 | 50.542.4–59.3 | 31.621.5–45 |
| 2039 | 49.641.2–59.2 | 31.723–43.8 |
| 2040 | 50.942.4–60.4 | 30.119–46 |
| 2041 | 51.342.5–61.1 | 30.419.5–43.3 |
| 2042 | 51.642–61.5 | 31.521.5–43.1 |
| 2043 | 50.742.7–61 | 3219.4–47.6 |
| 2044 | 51.942.4–61.9 | 3221.8–45.9 |
| 2045 | 51.542.8–61.1 | 34.122.7–47.8 |
| 2046 | 5343.7–62.7 | 33.921.1–47.3 |
| 2047 | 53.544.5–62.5 | 34.322.3–49 |
| 2048 | 53.144–62.6 | 35.723.1–46 |
| 2049 | 52.843.8–63.3 | 37.324.6–52.2 |
| 2050 | 53.644.4–63.8 | 37.425.7–52.7 |
| 2051 | 54.345.1–64.8 | 36.322.6–51.6 |
| 2052 | 53.444.6–63.2 | 38.224.4–51.2 |
| 2053 | 54.244.2–64.2 | 36.325.2–51.9 |
| 2054 | 54.545.3–64.8 | 3623–53 |
| 2055 | 5545.1–65.8 | 39.126.3–52.3 |
| 2056 | 55.245.1–66.6 | 38.227–52.8 |
| 2057 | 54.844.9–65.7 | 40.526.6–53.5 |
| 2058 | 55.145.8–67.7 | 41.827–54.8 |
| 2059 | 55.345.1–67.2 | 39.225.5–55.2 |
| 2060 | 57.246.9–68.1 | 41.929.2–55 |
| 2061 | 56.546.6–66.3 | 42.629.2–58.6 |
| 2062 | 56.846.9–68.5 | 41.429–55.5 |
| 2063 | 57.247.2–68.6 | 45.225.2–59.7 |
| 2064 | 5747.1–67.7 | 42.625.1–57.5 |
| 2065 | 57.347.1–67.8 | 40.825.4–61.7 |
| 2066 | 57.347.9–68.7 | 4228.9–57.3 |
| 2067 | 57.546.4–68.2 | 45.531.3–61.4 |
| 2068 | 58.748.5–70.5 | 41.528.4–58.9 |
| 2069 | 58.548.4–69 | 4630–59.7 |
| 2070 | 5847.6–71.7 | 45.430.7–63.3 |
| 2071 | 59.347.4–71.6 | 45.931.7–62.2 |
| 2072 | 59.248.1–71.5 | 47.130.2–62.5 |
| 2073 | 59.849.1–70.9 | 46.630.5–63.8 |
| 2074 | 59.648.7–71.1 | 43.429.5–61.4 |
| 2075 | 58.748.3–71.4 | 45.529–60.5 |
| 2076 | 60.249–70.9 | 46.930.2–64.9 |
| 2077 | 60.851.1–72.4 | 46.129.6–63 |
| 2078 | 59.648.8–72.4 | 4729.9–67.3 |
| 2079 | 60.750.1–72.6 | 43.731.4–63.5 |
| 2080 | 59.950–72.3 | 46.830–63.9 |
| 2081 | 60.950–73.2 | 4733.2–65 |
| 2082 | 6149.8–73.3 | 4834.3–63.4 |
| 2083 | 61.251.2–73.6 | 49.932.4–65.9 |
| 2084 | 61.749.7–74.6 | 49.234.7–65.4 |
| 2085 | 61.250.8–75.2 | 5037.5–66 |
| 2086 | 61.648.9–74.5 | 5133.7–67.6 |
| 2087 | 61.650.6–75 | 5236–70.2 |
| 2088 | 62.750.5–77.1 | 52.133.4–72.5 |
| 2089 | 61.950–75.2 | 50.936.8–67.7 |
| 2090 | 62.551.4–73.7 | 52.832.7–72.3 |
| 2091 | 63.852–75.7 | 54.133.4–70 |
| 2092 | 63.251.2–75.1 | 51.532.8–66.4 |
| 2093 | 63.252–75.4 | 48.734.9–66.7 |
| 2094 | 6351.1–76.3 | 50.331.4–70.1 |
| 2095 | 63.952.8–76.4 | 52.733.7–72.2 |
| 2096 | 63.852.2–76.8 | 54.134.9–72.5 |
| 2097 | 62.750.7–75.1 | 53.136.1–71.9 |
| 2098 | 63.451.2–76.8 | 5234.3–70.7 |
| 2099 | 63.851.9–76.1 | 55.737–70.7 |
| 2100 | 63.351.7–76.2 | 51.634.3–71.2 |
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
中国与西班牙对比
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人口与社会
经济
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冲突
军用
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- 军费开支(美元)中国:2025 年为 US$3350亿西班牙:2025 年为 US$377亿
- 人均军费开支中国:2025 年为 US$237西班牙:2025 年为 US$839
- 军费占政府支出比例中国:2025 年为 5.1%(占政府支出)西班牙:2025 年为 4.7%(占政府支出)
- 武装部队人员中国:2020 年为 254万 人西班牙:2020 年为 199,000 人
- 国家实力中国:2022 年为 23.41%(占全球实力)西班牙:2022 年为 0.66%(占全球实力)
- 武装部队占劳动力比例中国:2020 年为 0.33%(占劳动力)西班牙:2020 年为 0.87%(占劳动力)
- 武器进口中国:2025 年为 2.07亿 TIV西班牙:2025 年为 2.37亿 TIV
- 武器出口中国:2025 年为 8.8亿 TIV西班牙:2025 年为 3.41亿 TIV