菲律宾与苏丹对比
菲律宾与苏丹:热带夜
2014 年热带夜:菲律宾为 331.5 夜,苏丹为 242.4 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 89.1 夜,是苏丹的 1.37 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 年菲律宾为 351.3 夜,苏丹为 278.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 菲律宾 | 苏丹 |
|---|---|---|
| 2014 | 331.5 | 242.4 |
| 2013 | 330.9 | 240 |
| 2012 | 331.1 | 242 |
| 2011 | 329.8 | 242.2 |
| 2010 | 330.6 | 240.6 |
| 2009 | 329 | 236.5 |
| 2008 | 327.5 | 237.1 |
| 2007 | 327.8 | 236 |
| 2006 | 328.7 | 235.3 |
| 2005 | 329.7 | 233.1 |
| 2004 | 329.4 | 233.5 |
| 2003 | 327.1 | 235.6 |
| 2002 | 328.9 | 234.7 |
| 2001 | 327.8 | 235.4 |
| 2000 | 326.8 | 230.5 |
| 1999 | 327.5 | 232.1 |
| 1998 | 326.5 | 230.2 |
| 1997 | 325.4 | 231.1 |
| 1996 | 324.6 | 227.3 |
| 1995 | 324.2 | 227.8 |
| 1994 | 321.5 | 225.3 |
| 1993 | 319.5 | 219.1 |
| 1992 | 318.4 | 217.8 |
| 1991 | 324.1 | 227.3 |
| 1990 | 323.5 | 227.5 |
| 1989 | 322.5 | 223 |
| 1988 | 324 | 223.1 |
| 1987 | 323.1 | 224.4 |
| 1986 | 322.1 | 226.4 |
| 1985 | 321.4 | 222.1 |
| 1984 | 321.7 | 220.7 |
| 1983 | 319.4 | 217 |
| 1982 | 320.5 | 216.3 |
| 1981 | 320.4 | 223.2 |
| 1980 | 322.7 | 220 |
| 1979 | 321.2 | 218.4 |
| 1978 | 320.6 | 218.5 |
| 1977 | 319.8 | 219.3 |
| 1976 | 319.6 | 220.1 |
| 1975 | 319.6 | 215.7 |
| 1974 | 320 | 217.5 |
| 1973 | 319.4 | 220 |
| 1972 | 318.9 | 217.9 |
| 1971 | 318.8 | 215.5 |
| 1970 | 319 | 217 |
| 1969 | 318.7 | 213.1 |
| 1968 | 317.2 | 214 |
| 1967 | 317.4 | 210.3 |
| 1966 | 318.8 | 213.3 |
| 1965 | 317.2 | 213.4 |
| 1964 | 314.9 | 213.2 |
| 1963 | 317.2 | 210.1 |
| 1962 | 318.6 | 217 |
| 1961 | 319.3 | 216.9 |
| 1960 | 318.6 | 221.3 |
| 1959 | 320.5 | 217.8 |
| 1958 | 321.8 | 216.2 |
| 1957 | 319.4 | 218.9 |
| 1956 | 320 | 217.2 |
| 1955 | 319.3 | 216.6 |
| 1954 | 317.7 | 218.9 |
| 1953 | 320 | 215.1 |
| 1952 | 319 | 216.4 |
| 1951 | 319.8 | 218.5 |
| 1950 | 320.4 | 214.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 菲律宾 | 苏丹 |
|---|---|---|
| 2015 | 333319.8–339.5 | 242.3225.3–258.3 |
| 2016 | 334.2322.8–340.7 | 241.4223.3–254.1 |
| 2017 | 333.4319.7–339.8 | 243.2223–259.1 |
| 2018 | 333.2320.1–340.1 | 242.3226.4–258.5 |
| 2019 | 334.1323.4–341.2 | 243.1221.7–260.4 |
| 2020 | 334.6322.6–341.8 | 244.9225.9–261.7 |
| 2021 | 335.6323.3–341.1 | 245.6229.1–261.5 |
| 2022 | 335.7323.3–342.1 | 249230.9–262.3 |
| 2023 | 336.7324.8–343.2 | 247.1226.8–263.1 |
| 2024 | 337.2325.7–343.9 | 251.5232.8–266.1 |
| 2025 | 336.3326.2–342.8 | 250.7232.4–265.6 |
| 2026 | 336.5322.9–343 | 250230.8–266.6 |
| 2027 | 336.2325.7–342.3 | 248.8228.4–265.6 |
| 2028 | 337.1325.5–343.8 | 249232.2–263.1 |
| 2029 | 338.1327.2–344.6 | 251.4232.1–266 |
| 2030 | 337.7326.2–344.4 | 252235.4–266.7 |
| 2031 | 337.1325.6–343.8 | 253.3234.4–268.9 |
| 2032 | 339.4329.5–346.1 | 250.4232.3–266.6 |
| 2033 | 339.7329.6–345.5 | 254.4235.3–269.4 |
| 2034 | 338.8328.8–345 | 254.2234.5–269.9 |
| 2035 | 338.6327.5–346.4 | 258.3240.2–273.6 |
| 2036 | 339.6327.8–346.9 | 252.8235.6–268.6 |
| 2037 | 339.8329.1–345.5 | 256.7238.6–271.8 |
| 2038 | 341.9330.7–347.7 | 258.7244.8–272.1 |
| 2039 | 341.2330.4–346.9 | 259.5241.2–272.5 |
| 2040 | 340.4328.1–347.6 | 256.4236.7–272.3 |
| 2041 | 341.1329.1–346.7 | 259.1241.2–274.5 |
| 2042 | 342331.4–347.7 | 258.7242–274.7 |
| 2043 | 341.3329–348.1 | 258.1240.3–272.6 |
| 2044 | 342.8329.9–349.8 | 257.3238.6–274.7 |
| 2045 | 343.4333.8–348.7 | 258.8243.1–276.2 |
| 2046 | 342.7330.2–348.7 | 261.1241.7–277.6 |
| 2047 | 343.2331.7–350.6 | 261.4244.6–278.4 |
| 2048 | 343.3332.7–350.6 | 260.4243.4–279.5 |
| 2049 | 343.2332.5–349.5 | 261.9242.6–275.9 |
| 2050 | 344.3332.6–349.9 | 263.5245.4–279 |
| 2051 | 344.4334.9–350.8 | 263.6246.6–278.8 |
| 2052 | 344.1333.5–350.9 | 263.8248.7–278.3 |
| 2053 | 344.3333.6–350.3 | 262.8242.4–279.2 |
| 2054 | 343.4332–349.9 | 266.3246.6–282.9 |
| 2055 | 344.3334.4–350.5 | 265.6245.9–281.4 |
| 2056 | 345334.6–352.6 | 264.1242.6–281.5 |
| 2057 | 345.5335.1–351.5 | 266.4247.6–283.4 |
| 2058 | 345.8334.3–351.3 | 265.2247.4–280.3 |
| 2059 | 345.5333.7–351.6 | 268.4249.6–285.4 |
| 2060 | 346.8335.5–353.5 | 263.6246.7–284.4 |
| 2061 | 345.9335–351.8 | 266.9250.1–281.9 |
| 2062 | 346335.2–353.5 | 266.4248.5–285 |
| 2063 | 346.6336.2–352.8 | 267.1246.9–283.4 |
| 2064 | 346.9335.3–353 | 269250.7–284.7 |
| 2065 | 346.1335.9–351.9 | 269.8253.9–285.6 |
| 2066 | 346.5335.4–352.4 | 271.4251.9–287.3 |
| 2067 | 346.1335.4–352 | 270.9250–288.4 |
| 2068 | 347.1335.1–354.1 | 271.9251.7–289.8 |
| 2069 | 347333.8–353.6 | 268251.1–286.2 |
| 2070 | 346.7336.1–352.7 | 269252.3–285.8 |
| 2071 | 347.6336.2–353.9 | 275.5254.1–290.4 |
| 2072 | 347334.4–353.8 | 273.3254.2–289.4 |
| 2073 | 348.4336.7–355 | 271.9250.7–287.6 |
| 2074 | 348.6337–354.9 | 270.9249–290.1 |
| 2075 | 347.9337.2–354 | 273.1254–291.9 |
| 2076 | 348.4337–355.1 | 272.7255.2–290.9 |
| 2077 | 348.7337–354.8 | 274.6255.2–292.7 |
| 2078 | 348.4338.2–354.7 | 274.3255.6–291.2 |
| 2079 | 348.8337.6–354.7 | 272255.2–288.5 |
| 2080 | 349.1338.4–355.9 | 276.6256–292.2 |
| 2081 | 348.8336.9–355.1 | 275.1254.1–294.8 |
| 2082 | 349.6338–354.9 | 272.9258.7–288.6 |
| 2083 | 349.9337.9–356.1 | 276.5258–291.7 |
| 2084 | 349.5336.7–356.4 | 275.4253–294.9 |
| 2085 | 349.1338.2–355.4 | 275.3258.6–291.6 |
| 2086 | 349.4337.5–354.9 | 276.4256.9–296.6 |
| 2087 | 349.7338.7–356 | 273.5253.1–293.3 |
| 2088 | 349.9338.9–356.1 | 273.6253.7–293.6 |
| 2089 | 350.2339.8–355.2 | 276.5256.6–293.4 |
| 2090 | 350.1339.7–355.9 | 276.6256.4–294.6 |
| 2091 | 349.5339.5–356.3 | 277.4256.4–296.6 |
| 2092 | 350.5339.3–356.1 | 274.6254.3–294.9 |
| 2093 | 350.4337.9–356.5 | 278261.9–292.1 |
| 2094 | 350.5338.4–355.9 | 280.3262.2–294 |
| 2095 | 350.5338.3–355.7 | 277.5262.6–294 |
| 2096 | 351.1339–358 | 279.7258.7–297 |
| 2097 | 350.2339.3–355.6 | 276.3254.1–297.6 |
| 2098 | 350.3337.4–355.2 | 277.7258.2–295.5 |
| 2099 | 350.6339.3–356.4 | 276.8257.2–296.2 |
| 2100 | 351.3340.2–356.3 | 278.6259–294.3 |
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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
菲律宾与苏丹对比
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冲突
军用
- 军费开支菲律宾:2025 年为 GDP 的 1.3%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)菲律宾:2025 年为 US$63亿苏丹:2021 年为 US$27.7亿
- 人均军费开支菲律宾:2025 年为 US$55苏丹:2021 年为 US$8
- 军费占政府支出比例菲律宾:2025 年为 5.4%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员菲律宾:2020 年为 157,000 人苏丹:2020 年为 144,000 人
- 国家实力菲律宾:2022 年为 0.68%(占全球实力)苏丹:2022 年为 0.37%(占全球实力)
- 武装部队占劳动力比例菲律宾:2020 年为 0.37%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口菲律宾:2025 年为 8.46亿 TIV苏丹:2025 年为 5700万 TIV
- 武器出口菲律宾:2007 年为 400万 TIV苏丹:2013 年为 1100万 TIV