意大利与缅甸对比
意大利与缅甸:热带夜
2014 年热带夜:意大利为 26.3 夜,缅甸为 201.9 夜(CMIP6 气候模型中位数模拟)。 2014 年缅甸的数值较高,高出 175.6 夜,是意大利的 7.68 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,缅甸的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年意大利为 65.1 夜,缅甸为 244.5 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 意大利 | 缅甸 |
|---|---|---|
| 2014 | 26.3 | 201.9 |
| 2013 | 24.7 | 203.1 |
| 2012 | 24.8 | 201.1 |
| 2011 | 24.6 | 200.9 |
| 2010 | 27.1 | 202.1 |
| 2009 | 23.7 | 199 |
| 2008 | 24.1 | 198.1 |
| 2007 | 21.5 | 196.8 |
| 2006 | 24.6 | 198.2 |
| 2005 | 22.5 | 196.7 |
| 2004 | 24.5 | 200.3 |
| 2003 | 23.8 | 195.3 |
| 2002 | 20.6 | 196.6 |
| 2001 | 20.8 | 199 |
| 2000 | 21.7 | 197.2 |
| 1999 | 20.3 | 196.4 |
| 1998 | 18.9 | 194.7 |
| 1997 | 18.9 | 194.4 |
| 1996 | 18.9 | 191.4 |
| 1995 | 17.9 | 189.9 |
| 1994 | 17.4 | 188.8 |
| 1993 | 16.3 | 185 |
| 1992 | 15.1 | 180.5 |
| 1991 | 18 | 191.7 |
| 1990 | 18.2 | 191.5 |
| 1989 | 16.6 | 190.3 |
| 1988 | 15.5 | 190.7 |
| 1987 | 16 | 190.8 |
| 1986 | 15 | 189.7 |
| 1985 | 14.5 | 187.4 |
| 1984 | 15.7 | 189.1 |
| 1983 | 15.3 | 182.3 |
| 1982 | 14.1 | 186.7 |
| 1981 | 15.3 | 188.4 |
| 1980 | 15.9 | 189 |
| 1979 | 14.5 | 189.8 |
| 1978 | 16.5 | 186.8 |
| 1977 | 13.5 | 187.4 |
| 1976 | 13.8 | 185.8 |
| 1975 | 14 | 183.6 |
| 1974 | 14.8 | 185.5 |
| 1973 | 13.5 | 187.5 |
| 1972 | 13.7 | 184.8 |
| 1971 | 15.3 | 185.2 |
| 1970 | 14 | 184.9 |
| 1969 | 14.5 | 184.3 |
| 1968 | 13.8 | 183.7 |
| 1967 | 13.6 | 182.3 |
| 1966 | 13.2 | 186.2 |
| 1965 | 12.8 | 182.9 |
| 1964 | 13.2 | 180.6 |
| 1963 | 14.2 | 183.1 |
| 1962 | 15.5 | 187.3 |
| 1961 | 13.9 | 188.7 |
| 1960 | 14.9 | 187.1 |
| 1959 | 16.6 | 186.5 |
| 1958 | 14.4 | 187.1 |
| 1957 | 15.5 | 186.2 |
| 1956 | 16.7 | 187.9 |
| 1955 | 16.6 | 185.9 |
| 1954 | 15.7 | 185.7 |
| 1953 | 15.4 | 185 |
| 1952 | 16.6 | 186.1 |
| 1951 | 16 | 187.1 |
| 1950 | 15.3 | 186.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 意大利 | 缅甸 |
|---|---|---|
| 2015 | 3021.7–40.4 | 205.2186.4–218.9 |
| 2016 | 29.618–42.2 | 202.8186.2–218.8 |
| 2017 | 31.820.2–43.7 | 203.4187.3–218.3 |
| 2018 | 3122–44.3 | 205.5190.9–219.9 |
| 2019 | 31.521.3–43.2 | 205.2186.7–222.2 |
| 2020 | 31.619.7–44.3 | 208.2188.5–223.5 |
| 2021 | 3420.8–46.9 | 208.9191.2–224.1 |
| 2022 | 37.121.3–50.6 | 209.9192.7–224.9 |
| 2023 | 33.121.3–47.4 | 210.6195.4–226.3 |
| 2024 | 35.521.6–48.4 | 210.4193.8–226.6 |
| 2025 | 37.720.5–51.1 | 209.9190.3–225.2 |
| 2026 | 38.926.6–52.2 | 212.2194.3–229.2 |
| 2027 | 34.322.4–49.7 | 212195.6–228.6 |
| 2028 | 37.724.4–53.1 | 213195.7–227.2 |
| 2029 | 37.824.9–55 | 215.3193.9–231.9 |
| 2030 | 37.925.7–54.7 | 212.2194.9–228 |
| 2031 | 37.223.8–51 | 214.3197.2–230.8 |
| 2032 | 39.226.2–53.8 | 215199.3–229.6 |
| 2033 | 40.426–50.3 | 215.5198.5–230.1 |
| 2034 | 42.525.1–57.2 | 214.9198.4–233.5 |
| 2035 | 42.728.9–58.3 | 214.9199.2–236.8 |
| 2036 | 41.127.7–59.9 | 216198.7–234.5 |
| 2037 | 4328.1–54.8 | 217.2199.6–233.5 |
| 2038 | 41.628.5–61.3 | 220.7204.8–235.1 |
| 2039 | 4129.4–56.4 | 219.7202.4–234.3 |
| 2040 | 42.428.1–59.1 | 219.2202.9–235 |
| 2041 | 41.927.2–58.7 | 220.7203.9–237.7 |
| 2042 | 43.529.6–59 | 221.8206.1–237.2 |
| 2043 | 4528.7–59.5 | 219.5201.2–237.1 |
| 2044 | 44.929.4–59.9 | 221.4201.6–239.6 |
| 2045 | 45.230.3–59.2 | 223.7204.8–241.5 |
| 2046 | 4627.3–62.4 | 223.2203.2–240.2 |
| 2047 | 49.132.4–63.6 | 224.3204.8–241.1 |
| 2048 | 46.228.3–65.7 | 226.4207.7–243.8 |
| 2049 | 48.229.5–65.7 | 226.5205.6–242.8 |
| 2050 | 49.536.4–64.4 | 227209.3–243.5 |
| 2051 | 48.831.6–68.3 | 229.6212.4–246.4 |
| 2052 | 50.330.9–68.1 | 227.2208.6–244.2 |
| 2053 | 48.235.9–67 | 227.9208.7–247.7 |
| 2054 | 49.435.3–66.1 | 227.9209.6–244.8 |
| 2055 | 52.233.7–67.7 | 229.1209.8–247.5 |
| 2056 | 50.836.2–71.6 | 231.8210.4–252.1 |
| 2057 | 50.232.8–65.6 | 228.6208–249 |
| 2058 | 55.337.5–70.8 | 228.9208.8–249 |
| 2059 | 51.934.5–74.1 | 230.7212.1–247.5 |
| 2060 | 52.938.2–68.1 | 234.7211.1–251.5 |
| 2061 | 54.338.3–69.8 | 231.9213–247.7 |
| 2062 | 53.936.9–69 | 233.6209.9–252.8 |
| 2063 | 56.437.6–72.1 | 233215.4–250.5 |
| 2064 | 55.938.5–71.3 | 233.2214.4–251.3 |
| 2065 | 5537.3–73.3 | 230.7210.4–250.7 |
| 2066 | 53.935.8–73.8 | 233.5214.3–251.2 |
| 2067 | 61.141.2–76.6 | 233211.5–253.3 |
| 2068 | 56.241.7–73 | 233.1212.4–253.7 |
| 2069 | 58.741.8–73 | 236.1214.6–253.4 |
| 2070 | 55.738.9–74.4 | 235.9218.1–253.4 |
| 2071 | 59.637.8–76.6 | 235.1213.5–259.6 |
| 2072 | 59.643.5–74.6 | 234.6216.1–252.6 |
| 2073 | 56.939.4–71.6 | 237.2219.3–257.2 |
| 2074 | 54.836.7–73.7 | 236.4215.7–254.5 |
| 2075 | 56.941.8–75.4 | 236.7214.4–255.9 |
| 2076 | 59.941.9–77.7 | 237.7216–257 |
| 2077 | 57.437.9–74.1 | 237.5219–258.7 |
| 2078 | 60.540.5–80.7 | 238.5217.3–257.8 |
| 2079 | 60.637.1–83.3 | 238.5219.2–257.2 |
| 2080 | 59.743.1–78 | 240.5218.8–258.3 |
| 2081 | 5943.7–78.9 | 240219.7–260.9 |
| 2082 | 63.945.5–80.2 | 239.4217.1–258.8 |
| 2083 | 60.842–79.7 | 239.1220.5–259.2 |
| 2084 | 62.547.3–82.1 | 241.3218.9–260.6 |
| 2085 | 65.246.3–79 | 241.7218.8–260.7 |
| 2086 | 64.445.6–80.1 | 241.7217.4–262.7 |
| 2087 | 63.743.8–84 | 241.4220.5–260.9 |
| 2088 | 67.247.4–84.4 | 241.8222.3–261.5 |
| 2089 | 64.546–82.9 | 240.7221.2–262.6 |
| 2090 | 65.842.8–80.5 | 241.3224.4–260.9 |
| 2091 | 66.745.3–84.7 | 242.6220.3–262.5 |
| 2092 | 64.838.5–82.3 | 241.9221.6–263.3 |
| 2093 | 63.644.7–83 | 242.1220.2–260 |
| 2094 | 62.445–82 | 242.5222.5–261.9 |
| 2095 | 6643.6–83.5 | 244.9224–264.4 |
| 2096 | 6542.9–85.8 | 243.9221.1–266.5 |
| 2097 | 65.844.9–84.4 | 243.6219.6–264.2 |
| 2098 | 64.647.9–84.2 | 243.6222.5–263.9 |
| 2099 | 67.742.2–81.9 | 244.7221.8–263.5 |
| 2100 | 65.142.5–83.2 | 244.5223.2–261.8 |
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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
意大利与缅甸对比
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军用
- 军费开支意大利:2025 年为 GDP 的 1.89%缅甸:2024 年为 GDP 的 6.61%
- 军费开支(美元)意大利:2025 年为 US$454亿缅甸:2024 年为 US$46.5亿
- 人均军费开支意大利:2025 年为 US$813缅甸:2024 年为 US$92
- 军费占政府支出比例意大利:2025 年为 3.7%(占政府支出)缅甸:2024 年为 32%(占政府支出)
- 武装部队人员意大利:2020 年为 338,000 人缅甸:2020 年为 463,000 人
- 国家实力意大利:2022 年为 0.96%(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意大利:2020 年为 1.35%(占劳动力)缅甸:2020 年为 1.94%(占劳动力)
- 武器进口意大利:2025 年为 5.66亿 TIV缅甸:2025 年为 7000万 TIV