中国与泰国对比
中国与泰国:35 °C 以上天数
2014 年35 °C 以上天数:中国为 5.1 天,泰国为 39.9 天(CMIP6 气候模型中位数模拟)。 2014 年泰国的数值较高,高出 34.9 天,是中国的 7.87 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,泰国的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年中国为 16.5 天,泰国为 95.9 天。
逐年数据
每年天数 · CMIP6
| 年份 | 中国 | 泰国 |
|---|---|---|
| 2014 | 5.1 | 39.9 |
| 2013 | 5.4 | 42.1 |
| 2012 | 5.3 | 40.1 |
| 2011 | 4.9 | 39.9 |
| 2010 | 5 | 39.8 |
| 2009 | 4.9 | 37.9 |
| 2008 | 4.4 | 36 |
| 2007 | 4.2 | 33 |
| 2006 | 4.7 | 39.2 |
| 2005 | 4.6 | 34.9 |
| 2004 | 4.8 | 39.4 |
| 2003 | 4.6 | 34.1 |
| 2002 | 4.6 | 36.3 |
| 2001 | 4.5 | 37.8 |
| 2000 | 4.5 | 32.5 |
| 1999 | 4.4 | 29.7 |
| 1998 | 4.2 | 33.3 |
| 1997 | 3.7 | 33.7 |
| 1996 | 3.9 | 31.3 |
| 1995 | 3.4 | 33.5 |
| 1994 | 3.6 | 33.5 |
| 1993 | 2.8 | 30.4 |
| 1992 | 2.6 | 25.5 |
| 1991 | 3.8 | 35.4 |
| 1990 | 3.6 | 37.7 |
| 1989 | 3.9 | 29.3 |
| 1988 | 3.1 | 30.6 |
| 1987 | 3.3 | 31.2 |
| 1986 | 3.1 | 34.3 |
| 1985 | 2.6 | 29.3 |
| 1984 | 2.8 | 32.4 |
| 1983 | 2.7 | 30.4 |
| 1982 | 3.3 | 33.1 |
| 1981 | 3.2 | 29.5 |
| 1980 | 3.1 | 28.8 |
| 1979 | 3 | 32.4 |
| 1978 | 3.3 | 26.1 |
| 1977 | 3.2 | 31.5 |
| 1976 | 2.8 | 29.7 |
| 1975 | 3 | 25 |
| 1974 | 3.1 | 31.5 |
| 1973 | 2.7 | 34.5 |
| 1972 | 2.9 | 30.3 |
| 1971 | 2.9 | 27.1 |
| 1970 | 2.7 | 28.7 |
| 1969 | 3 | 29.9 |
| 1968 | 2.9 | 29.4 |
| 1967 | 3 | 28.3 |
| 1966 | 3 | 25.4 |
| 1965 | 2.9 | 27.1 |
| 1964 | 2.5 | 26.6 |
| 1963 | 3.3 | 26 |
| 1962 | 3.1 | 28.7 |
| 1961 | 3.5 | 31.1 |
| 1960 | 3.5 | 32.9 |
| 1959 | 3.2 | 24.4 |
| 1958 | 3.7 | 33 |
| 1957 | 3.4 | 27.8 |
| 1956 | 3.4 | 27.1 |
| 1955 | 3.3 | 31.2 |
| 1954 | 3.3 | 30.3 |
| 1953 | 3.3 | 28.2 |
| 1952 | 3.4 | 34.1 |
| 1951 | 3.4 | 33 |
| 1950 | 3.4 | 28.5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 中国 | 泰国 |
|---|---|---|
| 2015 | 5.32.9–9.2 | 41.123.5–66.3 |
| 2016 | 5.72.6–10.5 | 38.915.7–61.2 |
| 2017 | 63.3–10.4 | 41.420.8–64.9 |
| 2018 | 5.83.1–9.6 | 43.521.7–65.5 |
| 2019 | 6.23.2–10.5 | 40.916.5–61.9 |
| 2020 | 6.23.5–10.4 | 45.617.3–66.6 |
| 2021 | 6.33.4–11.3 | 43.720.7–70.7 |
| 2022 | 6.93.9–11.5 | 47.826.4–73.3 |
| 2023 | 6.93.7–12 | 41.822.3–67.2 |
| 2024 | 6.83.7–12 | 44.726.9–70.9 |
| 2025 | 7.13.8–11.7 | 50.227.3–77 |
| 2026 | 7.33.6–12.8 | 44.425.2–80.5 |
| 2027 | 73.7–11.6 | 47.126.2–75.6 |
| 2028 | 7.23.6–12.4 | 51.123.1–73.3 |
| 2029 | 7.54–13.1 | 56.733.9–84.7 |
| 2030 | 7.34–12.7 | 50.726.1–78.9 |
| 2031 | 7.94.1–14.2 | 50.531.5–81.2 |
| 2032 | 7.84.4–13.8 | 49.823.6–85.7 |
| 2033 | 7.54.3–13.5 | 53.432–73.7 |
| 2034 | 7.94–13.7 | 51.531.6–83.4 |
| 2035 | 8.54.6–14.2 | 52.228.9–89.2 |
| 2036 | 7.84–14.3 | 53.335.2–77.4 |
| 2037 | 8.54.5–14.6 | 57.632–82.5 |
| 2038 | 9.15–15.5 | 62.238.5–91.5 |
| 2039 | 8.24.1–14.8 | 55.127.8–78.8 |
| 2040 | 9.45.3–16.6 | 53.728.4–91.3 |
| 2041 | 9.45.2–15.7 | 6337.5–86.6 |
| 2042 | 9.35.4–16.8 | 54.826.4–94.7 |
| 2043 | 9.34.9–16.9 | 57.129.8–85.3 |
| 2044 | 9.64.9–17.5 | 57.336.7–95.7 |
| 2045 | 9.55.6–16.4 | 54.934.2–90.2 |
| 2046 | 9.95.7–17.1 | 62.736.4–102.1 |
| 2047 | 10.45.6–17.3 | 63.635–98.5 |
| 2048 | 105.3–18.3 | 72.237.4–110.4 |
| 2049 | 10.15.6–17.2 | 66.240.8–98.3 |
| 2050 | 10.55.8–18 | 64.536.9–95.3 |
| 2051 | 10.35.3–18.3 | 66.135.5–97.1 |
| 2052 | 10.35.5–17.9 | 74.339.3–108.1 |
| 2053 | 115.6–19.6 | 64.635–106.7 |
| 2054 | 11.26.7–19 | 69.144.2–112.1 |
| 2055 | 116–19.3 | 71.445.3–107.6 |
| 2056 | 11.66–19.2 | 70.536.5–117.7 |
| 2057 | 11.66–19.5 | 7240–104.6 |
| 2058 | 11.35.9–20.8 | 73.140.6–107.3 |
| 2059 | 11.66–20.3 | 77.251.2–121.4 |
| 2060 | 12.97.3–21.6 | 80.946–117 |
| 2061 | 126.7–20.4 | 77.335.3–117.8 |
| 2062 | 12.36.6–21.5 | 73.535.5–125.8 |
| 2063 | 12.66.1–22 | 83.640.3–122.6 |
| 2064 | 12.47.1–21.2 | 74.746.9–111.8 |
| 2065 | 12.86.8–21.5 | 69.939.5–124.8 |
| 2066 | 12.96.9–21.3 | 80.250.7–122.7 |
| 2067 | 13.26.7–22 | 69.437.9–116 |
| 2068 | 13.27.1–22.6 | 76.445.8–131.7 |
| 2069 | 12.96.8–21.1 | 77.747.4–128.7 |
| 2070 | 12.77–24.1 | 73.839.2–129.5 |
| 2071 | 13.47.3–24 | 80.642.2–131.6 |
| 2072 | 13.77.4–24 | 81.347.5–135.3 |
| 2073 | 14.78–23.7 | 88.854.2–133.4 |
| 2074 | 14.27.4–23.9 | 8444.3–128.1 |
| 2075 | 13.97.6–24 | 82.838.3–123.9 |
| 2076 | 14.87.8–24.5 | 82.937.1–132.9 |
| 2077 | 14.98.1–25.3 | 8849.4–132.4 |
| 2078 | 13.87.5–24.2 | 91.252–137 |
| 2079 | 14.27.8–24.1 | 85.749.5–144.4 |
| 2080 | 14.58.1–25.3 | 88.552.7–143.6 |
| 2081 | 14.48.1–25.7 | 87.150.9–135.1 |
| 2082 | 14.98.8–25.8 | 89.953.5–133.6 |
| 2083 | 14.88.6–25.1 | 87.145.8–149.7 |
| 2084 | 14.87.9–25.6 | 8447.7–131 |
| 2085 | 15.67.9–26.9 | 93.853.8–141.8 |
| 2086 | 157.8–25.1 | 87.745.8–139.2 |
| 2087 | 14.88.5–25.2 | 86.447.4–139.2 |
| 2088 | 16.29–27.9 | 90.441.7–153.2 |
| 2089 | 15.98.5–27.3 | 90.149–151.2 |
| 2090 | 16.18.7–26 | 87.853.3–154.1 |
| 2091 | 15.78.7–27.1 | 8648.2–148.6 |
| 2092 | 16.48.7–28 | 92.650.2–149.9 |
| 2093 | 16.78.8–27.3 | 89.854.6–159 |
| 2094 | 15.67.7–27.4 | 95.549.6–143.6 |
| 2095 | 16.59–27.8 | 103.458.2–156.3 |
| 2096 | 16.89.8–28.2 | 89.951.3–155.4 |
| 2097 | 15.88.5–26.2 | 94.550.2–142.6 |
| 2098 | 15.78.8–26.8 | 89.851.6–149.6 |
| 2099 | 168.3–27.9 | 88.244.7–147.4 |
| 2100 | 16.58.3–27.6 | 95.951.1–153.3 |
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
中国与泰国对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支中国:2025 年为 GDP 的 1.73%泰国:2025 年为 GDP 的 1.04%
- 军费开支(美元)中国:2025 年为 US$3350亿泰国:2025 年为 US$55.7亿
- 人均军费开支中国:2025 年为 US$237泰国:2025 年为 US$84
- 军费占政府支出比例中国:2025 年为 5.1%(占政府支出)泰国:2025 年为 4.4%(占政府支出)
- 武装部队人员中国:2020 年为 254万 人泰国:2020 年为 455,000 人
- 国家实力中国:2022 年为 23.41%(占全球实力)泰国:2022 年为 0.79%(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)泰国:2020 年为 1.13%(占劳动力)
- 武器进口中国:2025 年为 2.07亿 TIV泰国:2025 年为 3300万 TIV
- 武器出口中国:2025 年为 8.8亿 TIV泰国:2024 年为 1500万 TIV