中国与马来西亚对比
中国与马来西亚:热带夜
2014 年热带夜:中国为 41.5 夜,马来西亚为 323 夜(CMIP6 气候模型中位数模拟)。 2014 年马来西亚的数值较高,高出 281.6 夜,是中国的 7.79 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,马来西亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年中国为 63.3 夜,马来西亚为 354.8 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 中国 | 马来西亚 |
|---|---|---|
| 2014 | 41.5 | 323 |
| 2013 | 41.7 | 323.9 |
| 2012 | 40.8 | 323.3 |
| 2011 | 40.2 | 320.9 |
| 2010 | 40.5 | 320.9 |
| 2009 | 39.5 | 320.3 |
| 2008 | 39.2 | 317.9 |
| 2007 | 38.7 | 317.8 |
| 2006 | 39.5 | 317.3 |
| 2005 | 39.5 | 318.4 |
| 2004 | 39.7 | 319.4 |
| 2003 | 38.5 | 316 |
| 2002 | 38.8 | 316 |
| 2001 | 39.5 | 316.5 |
| 2000 | 38.6 | 314.5 |
| 1999 | 38.5 | 312.9 |
| 1998 | 37.6 | 312.5 |
| 1997 | 37.1 | 310.6 |
| 1996 | 36.6 | 307.1 |
| 1995 | 35.1 | 307.3 |
| 1994 | 34.9 | 304.1 |
| 1993 | 33.2 | 298.2 |
| 1992 | 32.3 | 293.6 |
| 1991 | 35.9 | 308.9 |
| 1990 | 36.4 | 310.4 |
| 1989 | 36.1 | 306.9 |
| 1988 | 35.1 | 306.8 |
| 1987 | 34.5 | 306 |
| 1986 | 34 | 305.5 |
| 1985 | 33.5 | 301.7 |
| 1984 | 33.4 | 302.1 |
| 1983 | 31.5 | 297.2 |
| 1982 | 34.1 | 302.6 |
| 1981 | 34.2 | 303.7 |
| 1980 | 34.3 | 303.3 |
| 1979 | 33.8 | 302.4 |
| 1978 | 34.8 | 301 |
| 1977 | 33.3 | 301.3 |
| 1976 | 32.7 | 298.9 |
| 1975 | 33.1 | 297.7 |
| 1974 | 33.3 | 298.1 |
| 1973 | 33.1 | 299.1 |
| 1972 | 32.6 | 297 |
| 1971 | 33 | 298.3 |
| 1970 | 32.4 | 296 |
| 1969 | 33.4 | 297.4 |
| 1968 | 32.8 | 295.2 |
| 1967 | 33.4 | 293.1 |
| 1966 | 33.4 | 296.2 |
| 1965 | 32.5 | 293.1 |
| 1964 | 32.1 | 291.3 |
| 1963 | 34.5 | 291.6 |
| 1962 | 34 | 299.1 |
| 1961 | 34.6 | 299.5 |
| 1960 | 34.1 | 300.1 |
| 1959 | 34 | 299.9 |
| 1958 | 35 | 301.7 |
| 1957 | 34.4 | 299 |
| 1956 | 34.6 | 298.1 |
| 1955 | 34.2 | 299.3 |
| 1954 | 34.2 | 296.8 |
| 1953 | 34.3 | 298.8 |
| 1952 | 34.3 | 299.4 |
| 1951 | 35.1 | 299.1 |
| 1950 | 34.9 | 300 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 中国 | 马来西亚 |
|---|---|---|
| 2015 | 42.334.8–49.8 | 324.4308.5–333.7 |
| 2016 | 42.134.4–50 | 323.8310.5–334.9 |
| 2017 | 43.135.3–51.6 | 325.6309.9–334.4 |
| 2018 | 42.335.5–49.5 | 325.7310.7–335.4 |
| 2019 | 43.836.5–51.1 | 326.4311.9–335.3 |
| 2020 | 43.736.8–51.1 | 328313.4–337.7 |
| 2021 | 44.136–52.1 | 328.8314–336.3 |
| 2022 | 44.737.5–52.7 | 329315.3–339 |
| 2023 | 45.737.8–53.4 | 330.1316–340.5 |
| 2024 | 45.738.1–54 | 332319.6–340.7 |
| 2025 | 46.337.5–54.8 | 330.3317.7–342 |
| 2026 | 46.237.6–55.5 | 330.2315.1–342.9 |
| 2027 | 46.138–54.9 | 331315.2–342.4 |
| 2028 | 46.438.4–54.3 | 332.4319–341.9 |
| 2029 | 46.939.1–55.6 | 334.4322.5–344.9 |
| 2030 | 47.138.8–55.3 | 333.4319.2–342.6 |
| 2031 | 4738.8–56 | 333.8317.1–342.5 |
| 2032 | 48.339.3–57.4 | 336.5323.3–345.9 |
| 2033 | 47.939.7–56.6 | 336.4322.5–343.3 |
| 2034 | 48.440.5–57.3 | 334.8322.7–344.3 |
| 2035 | 49.740.8–58.6 | 334.7323.3–347.9 |
| 2036 | 4940.1–58.2 | 336.9320.7–346.2 |
| 2037 | 4941.2–57.6 | 338.3325.4–345.3 |
| 2038 | 50.542.4–59.3 | 339.7326.9–347.4 |
| 2039 | 49.641.2–59.2 | 340326–347.4 |
| 2040 | 50.942.4–60.4 | 338.6325.1–349 |
| 2041 | 51.342.5–61.1 | 340.3326.3–348.1 |
| 2042 | 51.642–61.5 | 339.9326.9–349.6 |
| 2043 | 50.742.7–61 | 338.3324.3–348.3 |
| 2044 | 51.942.4–61.9 | 340.6326.3–350.4 |
| 2045 | 51.542.8–61.1 | 340.9327.4–349.8 |
| 2046 | 5343.7–62.7 | 343.3327.6–351.4 |
| 2047 | 53.544.5–62.5 | 343325.3–352.9 |
| 2048 | 53.144–62.6 | 342.6329–352.5 |
| 2049 | 52.843.8–63.3 | 343.8331.1–354.1 |
| 2050 | 53.644.4–63.8 | 342.7328.1–353.5 |
| 2051 | 54.345.1–64.8 | 344.5330.7–354.3 |
| 2052 | 53.444.6–63.2 | 345.1330.3–355 |
| 2053 | 54.244.2–64.2 | 344.2331–353.5 |
| 2054 | 54.545.3–64.8 | 345330.1–354.6 |
| 2055 | 5545.1–65.8 | 346.1332–354.3 |
| 2056 | 55.245.1–66.6 | 346.5332.2–356.6 |
| 2057 | 54.844.9–65.7 | 347.9332.3–355.4 |
| 2058 | 55.145.8–67.7 | 347333.5–355.6 |
| 2059 | 55.345.1–67.2 | 346.9333.4–356.2 |
| 2060 | 57.246.9–68.1 | 349.7334.9–357.3 |
| 2061 | 56.546.6–66.3 | 348.4334.1–356.1 |
| 2062 | 56.846.9–68.5 | 348.4331.8–357.7 |
| 2063 | 57.247.2–68.6 | 348.7333.2–357.7 |
| 2064 | 5747.1–67.7 | 349.1333.8–357.5 |
| 2065 | 57.347.1–67.8 | 348.6334.6–356.8 |
| 2066 | 57.347.9–68.7 | 349.3335–357.5 |
| 2067 | 57.546.4–68.2 | 349.1334–356.6 |
| 2068 | 58.748.5–70.5 | 350334.6–358.7 |
| 2069 | 58.548.4–69 | 349.5334.2–357.9 |
| 2070 | 5847.6–71.7 | 349.2336.2–357.7 |
| 2071 | 59.347.4–71.6 | 350.9336.1–358.6 |
| 2072 | 59.248.1–71.5 | 351337.2–357.9 |
| 2073 | 59.849.1–70.9 | 351.1338.7–359.9 |
| 2074 | 59.648.7–71.1 | 350337.8–359.4 |
| 2075 | 58.748.3–71.4 | 350.5335.4–358.1 |
| 2076 | 60.249–70.9 | 351.6337.5–359.7 |
| 2077 | 60.851.1–72.4 | 352.4336.4–359.9 |
| 2078 | 59.648.8–72.4 | 351.3338.9–358.8 |
| 2079 | 60.750.1–72.6 | 351.8337.9–359.7 |
| 2080 | 59.950–72.3 | 352.4338.8–360.7 |
| 2081 | 60.950–73.2 | 352.2337.3–359.7 |
| 2082 | 6149.8–73.3 | 352.7336.9–358.9 |
| 2083 | 61.251.2–73.6 | 352.5339.6–360.4 |
| 2084 | 61.749.7–74.6 | 353.5337.9–360.4 |
| 2085 | 61.250.8–75.2 | 352.9340.2–360.2 |
| 2086 | 61.648.9–74.5 | 352.8339.9–360 |
| 2087 | 61.650.6–75 | 352.8338.4–361 |
| 2088 | 62.750.5–77.1 | 354340–360.9 |
| 2089 | 61.950–75.2 | 353.7339.7–359.9 |
| 2090 | 62.551.4–73.7 | 353.3340.3–360.6 |
| 2091 | 63.852–75.7 | 354.7338.9–361 |
| 2092 | 63.251.2–75.1 | 355.3340.4–361.7 |
| 2093 | 63.252–75.4 | 353.5339.3–362 |
| 2094 | 6351.1–76.3 | 355.4341.2–360.4 |
| 2095 | 63.952.8–76.4 | 355339.4–360.6 |
| 2096 | 63.852.2–76.8 | 353.6339.6–363.1 |
| 2097 | 62.750.7–75.1 | 354.3339.5–360.6 |
| 2098 | 63.451.2–76.8 | 354.8340.2–360.7 |
| 2099 | 63.851.9–76.1 | 353.7340–361.8 |
| 2100 | 63.351.7–76.2 | 354.8340.4–360.8 |
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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
中国与马来西亚对比
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军用
- 军费开支中国:2025 年为 GDP 的 1.73%马来西亚:2025 年为 GDP 的 1.04%
- 军费开支(美元)中国:2025 年为 US$3350亿马来西亚:2025 年为 US$45.5亿
- 人均军费开支中国:2025 年为 US$237马来西亚:2025 年为 US$138
- 军费占政府支出比例中国:2025 年为 5.1%(占政府支出)马来西亚:2025 年为 4.4%(占政府支出)
- 武装部队人员中国:2020 年为 254万 人马来西亚:2020 年为 136,000 人
- 国家实力中国:2022 年为 23.41%(占全球实力)马来西亚:2022 年为 0.46%(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)马来西亚:2020 年为 0.81%(占劳动力)
- 武器进口中国:2025 年为 2.07亿 TIV马来西亚:2024 年为 700万 TIV
- 武器出口中国:2025 年为 8.8亿 TIV马来西亚:2024 年为 2000万 TIV