以色列与缅甸对比
以色列与缅甸:35 °C 以上天数
2014 年35 °C 以上天数:以色列为 30.3 天,缅甸为 28.8 天(CMIP6 气候模型中位数模拟)。 2014 年以色列的数值较高,高出 1.6 天,是缅甸的 1.05 倍。
每年天数 · CMIP6
数据解读
- 自 2010 年超过缅甸以来,以色列的数值一直更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年以色列为 85.6 天,缅甸为 57 天。
逐年数据
每年天数 · CMIP6
| 年份 | 以色列 | 缅甸 |
|---|---|---|
| 2014 | 30.3 | 28.8 |
| 2013 | 29.7 | 28 |
| 2012 | 27.9 | 27.5 |
| 2011 | 29.6 | 27.4 |
| 2010 | 29.7 | 27.9 |
| 2009 | 26.8 | 27.3 |
| 2008 | 28.9 | 27.2 |
| 2007 | 25.8 | 25.4 |
| 2006 | 26.3 | 26.8 |
| 2005 | 26.2 | 25 |
| 2004 | 26.5 | 28.3 |
| 2003 | 28.6 | 26.4 |
| 2002 | 24.9 | 27.4 |
| 2001 | 26.4 | 28.4 |
| 2000 | 25.4 | 26.6 |
| 1999 | 25.1 | 26.1 |
| 1998 | 23.9 | 26.4 |
| 1997 | 21.2 | 26.2 |
| 1996 | 20.5 | 24.7 |
| 1995 | 19.9 | 25.5 |
| 1994 | 19.2 | 24.3 |
| 1993 | 16.1 | 23.9 |
| 1992 | 17.4 | 20.5 |
| 1991 | 20.3 | 28.4 |
| 1990 | 22.4 | 26.3 |
| 1989 | 20.7 | 23.8 |
| 1988 | 18.7 | 23.9 |
| 1987 | 19 | 25.4 |
| 1986 | 20.7 | 26.6 |
| 1985 | 17.6 | 23.6 |
| 1984 | 14.6 | 25.8 |
| 1983 | 16.1 | 23.2 |
| 1982 | 18 | 24 |
| 1981 | 19 | 23.8 |
| 1980 | 19.6 | 23.5 |
| 1979 | 16.1 | 25.3 |
| 1978 | 16.7 | 23.4 |
| 1977 | 16.4 | 24.1 |
| 1976 | 18.3 | 25.6 |
| 1975 | 16.5 | 22.3 |
| 1974 | 18.1 | 24.1 |
| 1973 | 17.2 | 25.9 |
| 1972 | 18.2 | 23.1 |
| 1971 | 18.2 | 22.8 |
| 1970 | 17.4 | 24.2 |
| 1969 | 17.5 | 23.6 |
| 1968 | 15.5 | 23.4 |
| 1967 | 15.4 | 24.1 |
| 1966 | 15.6 | 23.1 |
| 1965 | 14.7 | 23.3 |
| 1964 | 15 | 21.7 |
| 1963 | 16.8 | 23.2 |
| 1962 | 17.2 | 24.4 |
| 1961 | 16.5 | 24.9 |
| 1960 | 19.7 | 26.2 |
| 1959 | 18 | 22.6 |
| 1958 | 18.6 | 25 |
| 1957 | 19.7 | 24.1 |
| 1956 | 18.5 | 25 |
| 1955 | 18.4 | 24.5 |
| 1954 | 15.9 | 25.3 |
| 1953 | 18.2 | 23.5 |
| 1952 | 17.8 | 26.1 |
| 1951 | 18.3 | 25 |
| 1950 | 16.8 | 23.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 以色列 | 缅甸 |
|---|---|---|
| 2015 | 35.422.7–49.3 | 28.518.5–40 |
| 2016 | 3222.7–48.1 | 27.717.3–38.7 |
| 2017 | 36.626.9–47.6 | 2818.9–38.5 |
| 2018 | 37.726.5–50.4 | 29.818.6–41.2 |
| 2019 | 3727.2–50.2 | 28.218.2–41.3 |
| 2020 | 40.527.5–54.7 | 28.616.8–41.4 |
| 2021 | 38.329.9–48.9 | 29.719.4–40.8 |
| 2022 | 41.828–54.5 | 31.521.7–42.7 |
| 2023 | 43.631.6–54.9 | 30.319.9–41.6 |
| 2024 | 4531.6–56.2 | 31.720.1–43.7 |
| 2025 | 45.327.6–56.7 | 32.721.3–44.8 |
| 2026 | 42.830–55.6 | 30.420.3–44.5 |
| 2027 | 44.833–56.4 | 30.620.4–44.2 |
| 2028 | 45.331.2–56.1 | 31.119–43 |
| 2029 | 44.232.9–59.9 | 32.720.9–46.4 |
| 2030 | 45.134–56.7 | 32.619.3–45 |
| 2031 | 44.833.2–57 | 32.721.3–45.2 |
| 2032 | 49.336.9–60.5 | 32.119.6–45.4 |
| 2033 | 50.432.4–64.9 | 33.322–43.8 |
| 2034 | 48.932.1–62.4 | 31.322–43.5 |
| 2035 | 52.636.4–66.8 | 32.620.4–49 |
| 2036 | 46.537.2–62.3 | 33.322.7–46.1 |
| 2037 | 54.737.5–67.2 | 34.322.6–49.1 |
| 2038 | 54.234.6–71.5 | 35.824.4–49.9 |
| 2039 | 55.438.7–70.4 | 34.920.9–49 |
| 2040 | 55.439.7–72.6 | 3419.2–51.2 |
| 2041 | 54.241–69.9 | 3724.8–51.9 |
| 2042 | 55.736.3–69.2 | 36.223–49.9 |
| 2043 | 55.441.6–68.9 | 34.522.6–47.7 |
| 2044 | 5537.4–71.2 | 38.222.1–51.2 |
| 2045 | 59.445.3–73.9 | 35.924.2–50.7 |
| 2046 | 60.545.7–74.6 | 38.425.2–57.1 |
| 2047 | 60.245.4–76.2 | 38.824.1–56.1 |
| 2048 | 62.442.8–77.6 | 40.323.4–58.7 |
| 2049 | 58.337.9–75.3 | 40.625.2–58.1 |
| 2050 | 6042.7–78.5 | 40.226.5–55.3 |
| 2051 | 60.446.6–73.1 | 41.726.7–56.8 |
| 2052 | 6046.1–75.7 | 40.326.3–61.2 |
| 2053 | 60.646.1–76.6 | 41.323.6–61.5 |
| 2054 | 63.344.6–77.5 | 42.426.8–60.9 |
| 2055 | 63.543.4–80.4 | 41.428.5–61.9 |
| 2056 | 64.542.6–81 | 42.726.5–63 |
| 2057 | 63.249.8–82.3 | 43.226.3–63.2 |
| 2058 | 65.445.9–86.6 | 44.526.8–63.6 |
| 2059 | 68.645.1–84.4 | 43.729.1–65.3 |
| 2060 | 66.450.5–84.8 | 47.428.3–66 |
| 2061 | 65.748.9–82 | 46.729.5–64.5 |
| 2062 | 68.745–87.3 | 47.126.7–68.6 |
| 2063 | 68.152.7–86.2 | 46.929–66.4 |
| 2064 | 68.555.6–88.7 | 47.527.9–66.1 |
| 2065 | 68.851.6–88.2 | 42.427.5–62.4 |
| 2066 | 68.849–86.7 | 46.228.9–68.8 |
| 2067 | 73.852.9–91.6 | 4125.7–63.6 |
| 2068 | 74.755.9–94.1 | 46.928–70.4 |
| 2069 | 7055.7–83.4 | 48.729.3–70.1 |
| 2070 | 76.353.6–91.5 | 43.927.5–64.3 |
| 2071 | 73.953.1–92.8 | 4926.2–71.9 |
| 2072 | 77.258.3–92.6 | 4730.6–71.4 |
| 2073 | 75.754.6–95.1 | 50.732.2–74 |
| 2074 | 71.955.9–89.6 | 4829.2–74 |
| 2075 | 71.952.3–88.9 | 49.126.1–68.9 |
| 2076 | 75.555.1–94.5 | 47.826.5–72.8 |
| 2077 | 75.254.9–92.1 | 51.832.9–76.1 |
| 2078 | 78.158.3–94.6 | 50.632.4–75.6 |
| 2079 | 82.356.7–99.2 | 50.730.5–77 |
| 2080 | 80.565.3–99.3 | 53.331.3–79.5 |
| 2081 | 75.157.8–93.6 | 5235.5–79.1 |
| 2082 | 80.761.4–99.5 | 52.532.5–76.8 |
| 2083 | 80.261.7–97.3 | 51.730.5–79.6 |
| 2084 | 80.464.4–94.8 | 52.329.5–76 |
| 2085 | 80.663.1–97.1 | 51.232.9–79.4 |
| 2086 | 78.761.7–102.1 | 52.632.5–80.1 |
| 2087 | 79.661.2–100.8 | 51.732.6–77.9 |
| 2088 | 84.160.7–101.2 | 50.727.2–88.8 |
| 2089 | 8163.9–105.3 | 52.731.4–86.3 |
| 2090 | 8365.5–101.4 | 54.231.1–80.1 |
| 2091 | 84.363.6–101.9 | 53.235.4–80.1 |
| 2092 | 82.860.3–105.3 | 54.135.4–85.5 |
| 2093 | 86.263.7–107.4 | 5235.6–85 |
| 2094 | 87.266–105.1 | 54.434.9–80.7 |
| 2095 | 84.363.3–105.9 | 58.535.1–84.3 |
| 2096 | 82.561.3–103.9 | 52.832.3–84.1 |
| 2097 | 85.865.7–105.3 | 53.230.4–82.8 |
| 2098 | 85.165.1–104.2 | 55.334.4–83.8 |
| 2099 | 8560.2–104.3 | 55.233.1–84.7 |
| 2100 | 85.660.5–104.5 | 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
以色列与缅甸对比
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军用
- 军费开支以色列:2025 年为 GDP 的 7.81%缅甸:2024 年为 GDP 的 6.61%
- 军费开支(美元)以色列:2025 年为 US$437亿缅甸:2024 年为 US$46.5亿
- 人均军费开支以色列:2025 年为 US$5,108缅甸:2024 年为 US$92
- 军费占政府支出比例以色列:2025 年为 17.8%(占政府支出)缅甸:2024 年为 32%(占政府支出)
- 武装部队人员以色列:2020 年为 178,000 人缅甸:2020 年为 463,000 人
- 国家实力以色列:2022 年为 0.38%(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以色列:2020 年为 4.23%(占劳动力)缅甸:2020 年为 1.94%(占劳动力)
- 武器进口以色列:2025 年为 5.37亿 TIV缅甸:2025 年为 7000万 TIV