苏丹与泰国对比
苏丹与泰国:35 °C 以上天数
2014 年35 °C 以上天数:苏丹为 184 天,泰国为 39.9 天(CMIP6 气候模型中位数模拟)。 2014 年苏丹的数值较高,高出 144.1 天,是泰国的 4.61 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,苏丹的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年苏丹为 230.7 天,泰国为 95.9 天。
逐年数据
每年天数 · CMIP6
| 年份 | 苏丹 | 泰国 |
|---|---|---|
| 2014 | 184 | 39.9 |
| 2013 | 179.8 | 42.1 |
| 2012 | 180.9 | 40.1 |
| 2011 | 183.5 | 39.9 |
| 2010 | 181.3 | 39.8 |
| 2009 | 175.7 | 37.9 |
| 2008 | 173.9 | 36 |
| 2007 | 171.9 | 33 |
| 2006 | 171.2 | 39.2 |
| 2005 | 169.5 | 34.9 |
| 2004 | 171.6 | 39.4 |
| 2003 | 172.7 | 34.1 |
| 2002 | 173.6 | 36.3 |
| 2001 | 177.8 | 37.8 |
| 2000 | 170.3 | 32.5 |
| 1999 | 170.7 | 29.7 |
| 1998 | 166 | 33.3 |
| 1997 | 169.3 | 33.7 |
| 1996 | 165.5 | 31.3 |
| 1995 | 165.1 | 33.5 |
| 1994 | 162.2 | 33.5 |
| 1993 | 154.5 | 30.4 |
| 1992 | 154.3 | 25.5 |
| 1991 | 165.3 | 35.4 |
| 1990 | 166.6 | 37.7 |
| 1989 | 164.1 | 29.3 |
| 1988 | 164.2 | 30.6 |
| 1987 | 163.3 | 31.2 |
| 1986 | 166.1 | 34.3 |
| 1985 | 159.7 | 29.3 |
| 1984 | 158 | 32.4 |
| 1983 | 157 | 30.4 |
| 1982 | 155.1 | 33.1 |
| 1981 | 162.1 | 29.5 |
| 1980 | 161.1 | 28.8 |
| 1979 | 160.4 | 32.4 |
| 1978 | 155.5 | 26.1 |
| 1977 | 157.9 | 31.5 |
| 1976 | 157.3 | 29.7 |
| 1975 | 153.9 | 25 |
| 1974 | 155.3 | 31.5 |
| 1973 | 161.4 | 34.5 |
| 1972 | 156.2 | 30.3 |
| 1971 | 153.4 | 27.1 |
| 1970 | 156.8 | 28.7 |
| 1969 | 153.8 | 29.9 |
| 1968 | 154.6 | 29.4 |
| 1967 | 148.4 | 28.3 |
| 1966 | 153 | 25.4 |
| 1965 | 154.2 | 27.1 |
| 1964 | 148.7 | 26.6 |
| 1963 | 146.1 | 26 |
| 1962 | 155.9 | 28.7 |
| 1961 | 158.5 | 31.1 |
| 1960 | 161.3 | 32.9 |
| 1959 | 158.4 | 24.4 |
| 1958 | 156.7 | 33 |
| 1957 | 159.4 | 27.8 |
| 1956 | 157.7 | 27.1 |
| 1955 | 154.7 | 31.2 |
| 1954 | 158.7 | 30.3 |
| 1953 | 156.3 | 28.2 |
| 1952 | 156.1 | 34.1 |
| 1951 | 158.9 | 33 |
| 1950 | 155.1 | 28.5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 苏丹 | 泰国 |
|---|---|---|
| 2015 | 183.4158.5–201.6 | 41.123.5–66.3 |
| 2016 | 179.1156.3–200.8 | 38.915.7–61.2 |
| 2017 | 184.1159.3–204.4 | 41.420.8–64.9 |
| 2018 | 178.9156–204.1 | 43.521.7–65.5 |
| 2019 | 181.9158.3–204.8 | 40.916.5–61.9 |
| 2020 | 182.3159.2–205.5 | 45.617.3–66.6 |
| 2021 | 183.1159.4–206.8 | 43.720.7–70.7 |
| 2022 | 187.9165.4–207.6 | 47.826.4–73.3 |
| 2023 | 185.3162.7–207.9 | 41.822.3–67.2 |
| 2024 | 192.2168–211.3 | 44.726.9–70.9 |
| 2025 | 188.6166.8–209.3 | 50.227.3–77 |
| 2026 | 188.5157.9–211.8 | 44.425.2–80.5 |
| 2027 | 189.2157–211.6 | 47.126.2–75.6 |
| 2028 | 189.6162.9–211.3 | 51.123.1–73.3 |
| 2029 | 190.4166.6–209.3 | 56.733.9–84.7 |
| 2030 | 191.6170.8–214.6 | 50.726.1–78.9 |
| 2031 | 192.2167.3–218 | 50.531.5–81.2 |
| 2032 | 191.2169.9–210.3 | 49.823.6–85.7 |
| 2033 | 195.3172.4–216.8 | 53.432–73.7 |
| 2034 | 197.1168.8–222.4 | 51.531.6–83.4 |
| 2035 | 196.4168.7–221.2 | 52.228.9–89.2 |
| 2036 | 191.3171.4–213.6 | 53.335.2–77.4 |
| 2037 | 198173.5–220.2 | 57.632–82.5 |
| 2038 | 200.4179.8–221.2 | 62.238.5–91.5 |
| 2039 | 199.5171.5–218.6 | 55.127.8–78.8 |
| 2040 | 196.3172.7–217.9 | 53.728.4–91.3 |
| 2041 | 202.2174.1–221.8 | 6337.5–86.6 |
| 2042 | 201.6175.8–224.1 | 54.826.4–94.7 |
| 2043 | 198.7169.7–224.3 | 57.129.8–85.3 |
| 2044 | 198.3173.4–222.2 | 57.336.7–95.7 |
| 2045 | 203.4179.1–224.6 | 54.934.2–90.2 |
| 2046 | 210.2177.8–229.9 | 62.736.4–102.1 |
| 2047 | 206.2180.9–228.4 | 63.635–98.5 |
| 2048 | 204.6180–231.3 | 72.237.4–110.4 |
| 2049 | 204.3178.2–227.3 | 66.240.8–98.3 |
| 2050 | 205.3180.8–234.5 | 64.536.9–95.3 |
| 2051 | 206.2186–229.8 | 66.135.5–97.1 |
| 2052 | 209182–231.9 | 74.339.3–108.1 |
| 2053 | 208.7181.2–230.7 | 64.635–106.7 |
| 2054 | 211180.1–231.4 | 69.144.2–112.1 |
| 2055 | 212.3184–233.5 | 71.445.3–107.6 |
| 2056 | 208.5182.4–235.7 | 70.536.5–117.7 |
| 2057 | 213.2186.4–240.1 | 7240–104.6 |
| 2058 | 213.4183–233.4 | 73.140.6–107.3 |
| 2059 | 214.6189.2–242.4 | 77.251.2–121.4 |
| 2060 | 213.7189.1–241.7 | 80.946–117 |
| 2061 | 214.5186.1–239.4 | 77.335.3–117.8 |
| 2062 | 214.4187–241.2 | 73.535.5–125.8 |
| 2063 | 212.5181.1–235.9 | 83.640.3–122.6 |
| 2064 | 214.9189.9–242.2 | 74.746.9–111.8 |
| 2065 | 217.2195.4–238.5 | 69.939.5–124.8 |
| 2066 | 217.1190.9–246.3 | 80.250.7–122.7 |
| 2067 | 216.5188.1–243.9 | 69.437.9–116 |
| 2068 | 216.7193.9–247.6 | 76.445.8–131.7 |
| 2069 | 216.1187.6–243.2 | 77.747.4–128.7 |
| 2070 | 219.4189.5–241.3 | 73.839.2–129.5 |
| 2071 | 224.1190.5–247.8 | 80.642.2–131.6 |
| 2072 | 222.3196.2–245.1 | 81.347.5–135.3 |
| 2073 | 221.8196.1–246.8 | 88.854.2–133.4 |
| 2074 | 218.1183.5–249 | 8444.3–128.1 |
| 2075 | 221.9188.6–243.6 | 82.838.3–123.9 |
| 2076 | 222.4196.4–250.8 | 82.937.1–132.9 |
| 2077 | 225.8194.6–252.8 | 8849.4–132.4 |
| 2078 | 224.1196.8–250.7 | 91.252–137 |
| 2079 | 220.7194.1–245.3 | 85.749.5–144.4 |
| 2080 | 225.9191.3–250 | 88.552.7–143.6 |
| 2081 | 225.1197.7–250.3 | 87.150.9–135.1 |
| 2082 | 222.6195.3–249.8 | 89.953.5–133.6 |
| 2083 | 228.1199.6–251.9 | 87.145.8–149.7 |
| 2084 | 224.5194.9–252.9 | 8447.7–131 |
| 2085 | 226.3199.3–251.5 | 93.853.8–141.8 |
| 2086 | 225.2193.1–258.3 | 87.745.8–139.2 |
| 2087 | 222.9190.2–250.1 | 86.447.4–139.2 |
| 2088 | 220.4194.2–256.8 | 90.441.7–153.2 |
| 2089 | 227195.7–249.8 | 90.149–151.2 |
| 2090 | 229198.7–254.5 | 87.853.3–154.1 |
| 2091 | 227196.4–254.1 | 8648.2–148.6 |
| 2092 | 227.2200.5–253.1 | 92.650.2–149.9 |
| 2093 | 227.5203–252.1 | 89.854.6–159 |
| 2094 | 231.9201.3–256 | 95.549.6–143.6 |
| 2095 | 228.4202.1–255 | 103.458.2–156.3 |
| 2096 | 226.4198.4–255.9 | 89.951.3–155.4 |
| 2097 | 225.9196.5–255.7 | 94.550.2–142.6 |
| 2098 | 227.8194.4–253.4 | 89.851.6–149.6 |
| 2099 | 229.5200.7–257.4 | 88.244.7–147.4 |
| 2100 | 230.7199.7–256.7 | 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
苏丹与泰国对比
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军用
- 军费开支苏丹:2021 年为 GDP 的 0.93%泰国:2025 年为 GDP 的 1.04%
- 军费开支(美元)苏丹:2021 年为 US$27.7亿泰国:2025 年为 US$55.7亿
- 人均军费开支苏丹:2021 年为 US$8泰国:2025 年为 US$84
- 军费占政府支出比例苏丹:2021 年为 9.5%(占政府支出)泰国:2025 年为 4.4%(占政府支出)
- 武装部队人员苏丹:2020 年为 144,000 人泰国:2020 年为 455,000 人
- 国家实力苏丹:2022 年为 0.37%(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苏丹:2020 年为 1.34%(占劳动力)泰国:2020 年为 1.13%(占劳动力)
- 武器进口苏丹:2025 年为 5700万 TIV泰国:2025 年为 3300万 TIV
- 武器出口苏丹:2013 年为 1100万 TIV泰国:2024 年为 1500万 TIV