中国与菲律宾对比
中国与菲律宾:热带夜
2014 年热带夜:中国为 41.5 夜,菲律宾为 331.5 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 290.1 夜,是中国的 8 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,菲律宾的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年中国为 63.3 夜,菲律宾为 351.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 中国 | 菲律宾 |
|---|---|---|
| 2014 | 41.5 | 331.5 |
| 2013 | 41.7 | 330.9 |
| 2012 | 40.8 | 331.1 |
| 2011 | 40.2 | 329.8 |
| 2010 | 40.5 | 330.6 |
| 2009 | 39.5 | 329 |
| 2008 | 39.2 | 327.5 |
| 2007 | 38.7 | 327.8 |
| 2006 | 39.5 | 328.7 |
| 2005 | 39.5 | 329.7 |
| 2004 | 39.7 | 329.4 |
| 2003 | 38.5 | 327.1 |
| 2002 | 38.8 | 328.9 |
| 2001 | 39.5 | 327.8 |
| 2000 | 38.6 | 326.8 |
| 1999 | 38.5 | 327.5 |
| 1998 | 37.6 | 326.5 |
| 1997 | 37.1 | 325.4 |
| 1996 | 36.6 | 324.6 |
| 1995 | 35.1 | 324.2 |
| 1994 | 34.9 | 321.5 |
| 1993 | 33.2 | 319.5 |
| 1992 | 32.3 | 318.4 |
| 1991 | 35.9 | 324.1 |
| 1990 | 36.4 | 323.5 |
| 1989 | 36.1 | 322.5 |
| 1988 | 35.1 | 324 |
| 1987 | 34.5 | 323.1 |
| 1986 | 34 | 322.1 |
| 1985 | 33.5 | 321.4 |
| 1984 | 33.4 | 321.7 |
| 1983 | 31.5 | 319.4 |
| 1982 | 34.1 | 320.5 |
| 1981 | 34.2 | 320.4 |
| 1980 | 34.3 | 322.7 |
| 1979 | 33.8 | 321.2 |
| 1978 | 34.8 | 320.6 |
| 1977 | 33.3 | 319.8 |
| 1976 | 32.7 | 319.6 |
| 1975 | 33.1 | 319.6 |
| 1974 | 33.3 | 320 |
| 1973 | 33.1 | 319.4 |
| 1972 | 32.6 | 318.9 |
| 1971 | 33 | 318.8 |
| 1970 | 32.4 | 319 |
| 1969 | 33.4 | 318.7 |
| 1968 | 32.8 | 317.2 |
| 1967 | 33.4 | 317.4 |
| 1966 | 33.4 | 318.8 |
| 1965 | 32.5 | 317.2 |
| 1964 | 32.1 | 314.9 |
| 1963 | 34.5 | 317.2 |
| 1962 | 34 | 318.6 |
| 1961 | 34.6 | 319.3 |
| 1960 | 34.1 | 318.6 |
| 1959 | 34 | 320.5 |
| 1958 | 35 | 321.8 |
| 1957 | 34.4 | 319.4 |
| 1956 | 34.6 | 320 |
| 1955 | 34.2 | 319.3 |
| 1954 | 34.2 | 317.7 |
| 1953 | 34.3 | 320 |
| 1952 | 34.3 | 319 |
| 1951 | 35.1 | 319.8 |
| 1950 | 34.9 | 320.4 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 中国 | 菲律宾 |
|---|---|---|
| 2015 | 42.334.8–49.8 | 333319.8–339.5 |
| 2016 | 42.134.4–50 | 334.2322.8–340.7 |
| 2017 | 43.135.3–51.6 | 333.4319.7–339.8 |
| 2018 | 42.335.5–49.5 | 333.2320.1–340.1 |
| 2019 | 43.836.5–51.1 | 334.1323.4–341.2 |
| 2020 | 43.736.8–51.1 | 334.6322.6–341.8 |
| 2021 | 44.136–52.1 | 335.6323.3–341.1 |
| 2022 | 44.737.5–52.7 | 335.7323.3–342.1 |
| 2023 | 45.737.8–53.4 | 336.7324.8–343.2 |
| 2024 | 45.738.1–54 | 337.2325.7–343.9 |
| 2025 | 46.337.5–54.8 | 336.3326.2–342.8 |
| 2026 | 46.237.6–55.5 | 336.5322.9–343 |
| 2027 | 46.138–54.9 | 336.2325.7–342.3 |
| 2028 | 46.438.4–54.3 | 337.1325.5–343.8 |
| 2029 | 46.939.1–55.6 | 338.1327.2–344.6 |
| 2030 | 47.138.8–55.3 | 337.7326.2–344.4 |
| 2031 | 4738.8–56 | 337.1325.6–343.8 |
| 2032 | 48.339.3–57.4 | 339.4329.5–346.1 |
| 2033 | 47.939.7–56.6 | 339.7329.6–345.5 |
| 2034 | 48.440.5–57.3 | 338.8328.8–345 |
| 2035 | 49.740.8–58.6 | 338.6327.5–346.4 |
| 2036 | 4940.1–58.2 | 339.6327.8–346.9 |
| 2037 | 4941.2–57.6 | 339.8329.1–345.5 |
| 2038 | 50.542.4–59.3 | 341.9330.7–347.7 |
| 2039 | 49.641.2–59.2 | 341.2330.4–346.9 |
| 2040 | 50.942.4–60.4 | 340.4328.1–347.6 |
| 2041 | 51.342.5–61.1 | 341.1329.1–346.7 |
| 2042 | 51.642–61.5 | 342331.4–347.7 |
| 2043 | 50.742.7–61 | 341.3329–348.1 |
| 2044 | 51.942.4–61.9 | 342.8329.9–349.8 |
| 2045 | 51.542.8–61.1 | 343.4333.8–348.7 |
| 2046 | 5343.7–62.7 | 342.7330.2–348.7 |
| 2047 | 53.544.5–62.5 | 343.2331.7–350.6 |
| 2048 | 53.144–62.6 | 343.3332.7–350.6 |
| 2049 | 52.843.8–63.3 | 343.2332.5–349.5 |
| 2050 | 53.644.4–63.8 | 344.3332.6–349.9 |
| 2051 | 54.345.1–64.8 | 344.4334.9–350.8 |
| 2052 | 53.444.6–63.2 | 344.1333.5–350.9 |
| 2053 | 54.244.2–64.2 | 344.3333.6–350.3 |
| 2054 | 54.545.3–64.8 | 343.4332–349.9 |
| 2055 | 5545.1–65.8 | 344.3334.4–350.5 |
| 2056 | 55.245.1–66.6 | 345334.6–352.6 |
| 2057 | 54.844.9–65.7 | 345.5335.1–351.5 |
| 2058 | 55.145.8–67.7 | 345.8334.3–351.3 |
| 2059 | 55.345.1–67.2 | 345.5333.7–351.6 |
| 2060 | 57.246.9–68.1 | 346.8335.5–353.5 |
| 2061 | 56.546.6–66.3 | 345.9335–351.8 |
| 2062 | 56.846.9–68.5 | 346335.2–353.5 |
| 2063 | 57.247.2–68.6 | 346.6336.2–352.8 |
| 2064 | 5747.1–67.7 | 346.9335.3–353 |
| 2065 | 57.347.1–67.8 | 346.1335.9–351.9 |
| 2066 | 57.347.9–68.7 | 346.5335.4–352.4 |
| 2067 | 57.546.4–68.2 | 346.1335.4–352 |
| 2068 | 58.748.5–70.5 | 347.1335.1–354.1 |
| 2069 | 58.548.4–69 | 347333.8–353.6 |
| 2070 | 5847.6–71.7 | 346.7336.1–352.7 |
| 2071 | 59.347.4–71.6 | 347.6336.2–353.9 |
| 2072 | 59.248.1–71.5 | 347334.4–353.8 |
| 2073 | 59.849.1–70.9 | 348.4336.7–355 |
| 2074 | 59.648.7–71.1 | 348.6337–354.9 |
| 2075 | 58.748.3–71.4 | 347.9337.2–354 |
| 2076 | 60.249–70.9 | 348.4337–355.1 |
| 2077 | 60.851.1–72.4 | 348.7337–354.8 |
| 2078 | 59.648.8–72.4 | 348.4338.2–354.7 |
| 2079 | 60.750.1–72.6 | 348.8337.6–354.7 |
| 2080 | 59.950–72.3 | 349.1338.4–355.9 |
| 2081 | 60.950–73.2 | 348.8336.9–355.1 |
| 2082 | 6149.8–73.3 | 349.6338–354.9 |
| 2083 | 61.251.2–73.6 | 349.9337.9–356.1 |
| 2084 | 61.749.7–74.6 | 349.5336.7–356.4 |
| 2085 | 61.250.8–75.2 | 349.1338.2–355.4 |
| 2086 | 61.648.9–74.5 | 349.4337.5–354.9 |
| 2087 | 61.650.6–75 | 349.7338.7–356 |
| 2088 | 62.750.5–77.1 | 349.9338.9–356.1 |
| 2089 | 61.950–75.2 | 350.2339.8–355.2 |
| 2090 | 62.551.4–73.7 | 350.1339.7–355.9 |
| 2091 | 63.852–75.7 | 349.5339.5–356.3 |
| 2092 | 63.251.2–75.1 | 350.5339.3–356.1 |
| 2093 | 63.252–75.4 | 350.4337.9–356.5 |
| 2094 | 6351.1–76.3 | 350.5338.4–355.9 |
| 2095 | 63.952.8–76.4 | 350.5338.3–355.7 |
| 2096 | 63.852.2–76.8 | 351.1339–358 |
| 2097 | 62.750.7–75.1 | 350.2339.3–355.6 |
| 2098 | 63.451.2–76.8 | 350.3337.4–355.2 |
| 2099 | 63.851.9–76.1 | 350.6339.3–356.4 |
| 2100 | 63.351.7–76.2 | 351.3340.2–356.3 |
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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
中国与菲律宾对比
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军用
- 军费开支中国:2025 年为 GDP 的 1.73%菲律宾:2025 年为 GDP 的 1.3%
- 军费开支(美元)中国:2025 年为 US$3350亿菲律宾:2025 年为 US$63亿
- 人均军费开支中国:2025 年为 US$237菲律宾:2025 年为 US$55
- 军费占政府支出比例中国:2025 年为 5.1%(占政府支出)菲律宾:2025 年为 5.4%(占政府支出)
- 武装部队人员中国:2020 年为 254万 人菲律宾:2020 年为 157,000 人
- 国家实力中国:2022 年为 23.41%(占全球实力)菲律宾:2022 年为 0.68%(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)菲律宾:2020 年为 0.37%(占劳动力)
- 武器进口中国:2025 年为 2.07亿 TIV菲律宾:2025 年为 8.46亿 TIV
- 武器出口中国:2025 年为 8.8亿 TIV菲律宾:2007 年为 400万 TIV