柬埔寨与缅甸对比
柬埔寨与缅甸:35 °C 以上天数
2014 年35 °C 以上天数:柬埔寨为 45.7 天,缅甸为 28.8 天(CMIP6 气候模型中位数模拟)。 2014 年柬埔寨的数值较高,高出 16.9 天,是缅甸的 1.59 倍。
每年天数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,柬埔寨的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年柬埔寨为 117.2 天,缅甸为 57 天。
逐年数据
每年天数 · CMIP6
| 年份 | 柬埔寨 | 缅甸 |
|---|---|---|
| 2014 | 45.7 | 28.8 |
| 2013 | 50.7 | 28 |
| 2012 | 48.8 | 27.5 |
| 2011 | 50.1 | 27.4 |
| 2010 | 48.4 | 27.9 |
| 2009 | 44.1 | 27.3 |
| 2008 | 44 | 27.2 |
| 2007 | 40.8 | 25.4 |
| 2006 | 46 | 26.8 |
| 2005 | 44.2 | 25 |
| 2004 | 46.4 | 28.3 |
| 2003 | 42.3 | 26.4 |
| 2002 | 44.3 | 27.4 |
| 2001 | 48.1 | 28.4 |
| 2000 | 36.9 | 26.6 |
| 1999 | 32.8 | 26.1 |
| 1998 | 39.3 | 26.4 |
| 1997 | 38.3 | 26.2 |
| 1996 | 34.4 | 24.7 |
| 1995 | 36.2 | 25.5 |
| 1994 | 38.5 | 24.3 |
| 1993 | 34.5 | 23.9 |
| 1992 | 26.6 | 20.5 |
| 1991 | 40.2 | 28.4 |
| 1990 | 44.6 | 26.3 |
| 1989 | 32.4 | 23.8 |
| 1988 | 36 | 23.9 |
| 1987 | 35.7 | 25.4 |
| 1986 | 38.6 | 26.6 |
| 1985 | 31.7 | 23.6 |
| 1984 | 35 | 25.8 |
| 1983 | 34.7 | 23.2 |
| 1982 | 38.9 | 24 |
| 1981 | 31.8 | 23.8 |
| 1980 | 30.8 | 23.5 |
| 1979 | 38.2 | 25.3 |
| 1978 | 28.5 | 23.4 |
| 1977 | 37.6 | 24.1 |
| 1976 | 32 | 25.6 |
| 1975 | 28.8 | 22.3 |
| 1974 | 35.5 | 24.1 |
| 1973 | 38.3 | 25.9 |
| 1972 | 31.4 | 23.1 |
| 1971 | 31.7 | 22.8 |
| 1970 | 31.1 | 24.2 |
| 1969 | 33 | 23.6 |
| 1968 | 27.7 | 23.4 |
| 1967 | 29.8 | 24.1 |
| 1966 | 27.9 | 23.1 |
| 1965 | 29.6 | 23.3 |
| 1964 | 30.6 | 21.7 |
| 1963 | 28.3 | 23.2 |
| 1962 | 29.3 | 24.4 |
| 1961 | 37.9 | 24.9 |
| 1960 | 36.6 | 26.2 |
| 1959 | 25.7 | 22.6 |
| 1958 | 37.4 | 25 |
| 1957 | 27.7 | 24.1 |
| 1956 | 26.3 | 25 |
| 1955 | 35.3 | 24.5 |
| 1954 | 32.8 | 25.3 |
| 1953 | 34.1 | 23.5 |
| 1952 | 38.4 | 26.1 |
| 1951 | 38.6 | 25 |
| 1950 | 31.1 | 23.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 柬埔寨 | 缅甸 |
|---|---|---|
| 2015 | 50.827.7–77.7 | 28.518.5–40 |
| 2016 | 48.210.9–70.1 | 27.717.3–38.7 |
| 2017 | 49.627–75.6 | 2818.9–38.5 |
| 2018 | 50.426.8–79.7 | 29.818.6–41.2 |
| 2019 | 52.220.7–72.4 | 28.218.2–41.3 |
| 2020 | 53.324.2–84.5 | 28.616.8–41.4 |
| 2021 | 53.425.4–86.5 | 29.719.4–40.8 |
| 2022 | 57.540.4–90.6 | 31.521.7–42.7 |
| 2023 | 51.925.2–85.8 | 30.319.9–41.6 |
| 2024 | 56.830.5–87.6 | 31.720.1–43.7 |
| 2025 | 62.731.1–89.3 | 32.721.3–44.8 |
| 2026 | 54.228–90.9 | 30.420.3–44.5 |
| 2027 | 60.633.2–86 | 30.620.4–44.2 |
| 2028 | 64.131–90.9 | 31.119–43 |
| 2029 | 74.940.4–104.1 | 32.720.9–46.4 |
| 2030 | 67.533.6–91.6 | 32.619.3–45 |
| 2031 | 64.537.3–106.6 | 32.721.3–45.2 |
| 2032 | 65.725–106.8 | 32.119.6–45.4 |
| 2033 | 69.540.2–93.5 | 33.322–43.8 |
| 2034 | 64.838.7–99.9 | 31.322–43.5 |
| 2035 | 67.428.6–104.7 | 32.620.4–49 |
| 2036 | 66.341.5–88.7 | 33.322.7–46.1 |
| 2037 | 7434.6–100.7 | 34.322.6–49.1 |
| 2038 | 76.846.8–110.7 | 35.824.4–49.9 |
| 2039 | 68.434.7–95.8 | 34.920.9–49 |
| 2040 | 6939–108.2 | 3419.2–51.2 |
| 2041 | 76.848.8–107.3 | 3724.8–51.9 |
| 2042 | 70.226.4–116.8 | 36.223–49.9 |
| 2043 | 69.533.8–110.5 | 34.522.6–47.7 |
| 2044 | 73.445.3–122.5 | 38.222.1–51.2 |
| 2045 | 68.143.9–106.8 | 35.924.2–50.7 |
| 2046 | 7846.6–117.4 | 38.425.2–57.1 |
| 2047 | 82.247.8–122 | 38.824.1–56.1 |
| 2048 | 88.343.9–134.8 | 40.323.4–58.7 |
| 2049 | 85.248.1–124 | 40.625.2–58.1 |
| 2050 | 80.553.2–111.5 | 40.226.5–55.3 |
| 2051 | 83.240.7–123.1 | 41.726.7–56.8 |
| 2052 | 88.250.6–126.8 | 40.326.3–61.2 |
| 2053 | 85.546.6–124 | 41.323.6–61.5 |
| 2054 | 8655.2–136.3 | 42.426.8–60.9 |
| 2055 | 88.450.5–131.9 | 41.428.5–61.9 |
| 2056 | 82.442.6–138 | 42.726.5–63 |
| 2057 | 89.147.8–122.8 | 43.226.3–63.2 |
| 2058 | 87.346.8–135.5 | 44.526.8–63.6 |
| 2059 | 93.961.6–143.2 | 43.729.1–65.3 |
| 2060 | 98.854.5–142.1 | 47.428.3–66 |
| 2061 | 88.639.7–136.9 | 46.729.5–64.5 |
| 2062 | 89.638.2–150.8 | 47.126.7–68.6 |
| 2063 | 103.254.3–138.4 | 46.929–66.4 |
| 2064 | 93.264.2–136.2 | 47.527.9–66.1 |
| 2065 | 87.652.3–147.9 | 42.427.5–62.4 |
| 2066 | 100.463.4–145.2 | 46.228.9–68.8 |
| 2067 | 87.746.7–137.7 | 4125.7–63.6 |
| 2068 | 95.461.2–147.8 | 46.928–70.4 |
| 2069 | 96.158.9–152.1 | 48.729.3–70.1 |
| 2070 | 90.852.1–154.7 | 43.927.5–64.3 |
| 2071 | 97.559.3–151.3 | 4926.2–71.9 |
| 2072 | 102.759.4–162.2 | 4730.6–71.4 |
| 2073 | 109.168–148.7 | 50.732.2–74 |
| 2074 | 98.842.7–151.5 | 4829.2–74 |
| 2075 | 99.348.6–142.4 | 49.126.1–68.9 |
| 2076 | 104.339.4–152.3 | 47.826.5–72.8 |
| 2077 | 110.344.8–153.2 | 51.832.9–76.1 |
| 2078 | 110.757.2–152.1 | 50.632.4–75.6 |
| 2079 | 10656–162.3 | 50.730.5–77 |
| 2080 | 112.752.2–159 | 53.331.3–79.5 |
| 2081 | 105.558.5–156.7 | 5235.5–79.1 |
| 2082 | 110.259.7–153.3 | 52.532.5–76.8 |
| 2083 | 106.353.9–171.7 | 51.730.5–79.6 |
| 2084 | 102.354.4–154.7 | 52.329.5–76 |
| 2085 | 113.265.6–166.7 | 51.232.9–79.4 |
| 2086 | 111.154.4–159.1 | 52.632.5–80.1 |
| 2087 | 107.555.6–164.4 | 51.732.6–77.9 |
| 2088 | 110.853.7–176.5 | 50.727.2–88.8 |
| 2089 | 108.558.9–173.9 | 52.731.4–86.3 |
| 2090 | 11067.3–179.7 | 54.231.1–80.1 |
| 2091 | 102.761.1–177.9 | 53.235.4–80.1 |
| 2092 | 114.257.9–162 | 54.135.4–85.5 |
| 2093 | 106.567.6–173.9 | 5235.6–85 |
| 2094 | 120.659.4–166.6 | 54.434.9–80.7 |
| 2095 | 123.265.4–177.7 | 58.535.1–84.3 |
| 2096 | 110.463.2–176.3 | 52.832.3–84.1 |
| 2097 | 117.256–165.1 | 53.230.4–82.8 |
| 2098 | 108.759.9–180.4 | 55.334.4–83.8 |
| 2099 | 112.650.6–167.9 | 55.233.1–84.7 |
| 2100 | 117.260.3–181.4 | 5734.6–84 |
分别查看各国
须知
- 一年中最高气温超过 35 °C 的天数,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
柬埔寨与缅甸对比
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军用
- 军费开支柬埔寨:2025 年为 GDP 的 1.45%缅甸:2024 年为 GDP 的 6.61%
- 军费开支(美元)柬埔寨:2025 年为 US$7.16亿缅甸:2024 年为 US$46.5亿
- 人均军费开支柬埔寨:2025 年为 US$42缅甸:2024 年为 US$92
- 军费占政府支出比例柬埔寨:2025 年为 8.2%(占政府支出)缅甸:2024 年为 32%(占政府支出)
- 武装部队人员柬埔寨:2020 年为 191,000 人缅甸:2020 年为 463,000 人
- 国家实力柬埔寨:2022 年为 0.16%(占全球实力)缅甸:2022 年为 0.53%(占全球实力)
- 武装部队占劳动力比例柬埔寨:2020 年为 2.02%(占劳动力)缅甸:2020 年为 1.94%(占劳动力)
- 武器进口柬埔寨:2023 年为 5600万 TIV缅甸:2025 年为 7000万 TIV