比利时与中国对比
比利时与中国:热带夜
2014 年热带夜:比利时为 0.2 夜,中国为 41.5 夜(CMIP6 气候模型中位数模拟)。 2014 年中国的数值较高,高出 41.2 夜,是比利时的 170 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,中国的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年比利时为 7.7 夜,中国为 63.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 比利时 | 中国 |
|---|---|---|
| 2014 | 0.2 | 41.5 |
| 2013 | 0.5 | 41.7 |
| 2012 | 0.5 | 40.8 |
| 2011 | 0.1 | 40.2 |
| 2010 | 0.6 | 40.5 |
| 2009 | 0.1 | 39.5 |
| 2008 | 0 | 39.2 |
| 2007 | 0 | 38.7 |
| 2006 | 0 | 39.5 |
| 2005 | 0.3 | 39.5 |
| 2004 | 0.1 | 39.7 |
| 2003 | 0.4 | 38.5 |
| 2002 | 0 | 38.8 |
| 2001 | 0 | 39.5 |
| 2000 | 0 | 38.6 |
| 1999 | 0.2 | 38.5 |
| 1998 | 0 | 37.6 |
| 1997 | 0 | 37.1 |
| 1996 | 0 | 36.6 |
| 1995 | 0 | 35.1 |
| 1994 | 0 | 34.9 |
| 1993 | 0 | 33.2 |
| 1992 | 0 | 32.3 |
| 1991 | 0 | 35.9 |
| 1990 | 0 | 36.4 |
| 1989 | 0 | 36.1 |
| 1988 | 0 | 35.1 |
| 1987 | 0 | 34.5 |
| 1986 | 0 | 34 |
| 1985 | 0 | 33.5 |
| 1984 | 0 | 33.4 |
| 1983 | 0 | 31.5 |
| 1982 | 0 | 34.1 |
| 1981 | 0 | 34.2 |
| 1980 | 0 | 34.3 |
| 1979 | 0 | 33.8 |
| 1978 | 0 | 34.8 |
| 1977 | 0 | 33.3 |
| 1976 | 0 | 32.7 |
| 1975 | 0 | 33.1 |
| 1974 | 0 | 33.3 |
| 1973 | 0 | 33.1 |
| 1972 | 0 | 32.6 |
| 1971 | 0 | 33 |
| 1970 | 0 | 32.4 |
| 1969 | 0 | 33.4 |
| 1968 | 0 | 32.8 |
| 1967 | 0 | 33.4 |
| 1966 | 0 | 33.4 |
| 1965 | 0 | 32.5 |
| 1964 | 0 | 32.1 |
| 1963 | 0 | 34.5 |
| 1962 | 0 | 34 |
| 1961 | 0 | 34.6 |
| 1960 | 0 | 34.1 |
| 1959 | 0 | 34 |
| 1958 | 0 | 35 |
| 1957 | 0 | 34.4 |
| 1956 | 0 | 34.6 |
| 1955 | 0 | 34.2 |
| 1954 | 0 | 34.2 |
| 1953 | 0 | 34.3 |
| 1952 | 0 | 34.3 |
| 1951 | 0 | 35.1 |
| 1950 | 0 | 34.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 比利时 | 中国 |
|---|---|---|
| 2015 | 0.10–3.4 | 42.334.8–49.8 |
| 2016 | 0.40–3.5 | 42.134.4–50 |
| 2017 | 0.30–4.5 | 43.135.3–51.6 |
| 2018 | 0.30–2.1 | 42.335.5–49.5 |
| 2019 | 0.40–3 | 43.836.5–51.1 |
| 2020 | 0.40–4.4 | 43.736.8–51.1 |
| 2021 | 0.30–3.8 | 44.136–52.1 |
| 2022 | 0.70–4.2 | 44.737.5–52.7 |
| 2023 | 0.60–4.8 | 45.737.8–53.4 |
| 2024 | 0.70–4.7 | 45.738.1–54 |
| 2025 | 1.30–5.8 | 46.337.5–54.8 |
| 2026 | 1.20–5.5 | 46.237.6–55.5 |
| 2027 | 0.80–3.6 | 46.138–54.9 |
| 2028 | 0.60–6 | 46.438.4–54.3 |
| 2029 | 1.10–4.6 | 46.939.1–55.6 |
| 2030 | 0.90–4 | 47.138.8–55.3 |
| 2031 | 0.70–4 | 4738.8–56 |
| 2032 | 0.70–5.4 | 48.339.3–57.4 |
| 2033 | 0.90–5 | 47.939.7–56.6 |
| 2034 | 1.50–8.7 | 48.440.5–57.3 |
| 2035 | 1.20–7.3 | 49.740.8–58.6 |
| 2036 | 1.50–6.5 | 4940.1–58.2 |
| 2037 | 1.60–7.1 | 4941.2–57.6 |
| 2038 | 0.90–10.4 | 50.542.4–59.3 |
| 2039 | 0.90–5.5 | 49.641.2–59.2 |
| 2040 | 10–6.1 | 50.942.4–60.4 |
| 2041 | 1.80–7.2 | 51.342.5–61.1 |
| 2042 | 1.10–5.5 | 51.642–61.5 |
| 2043 | 1.80–6 | 50.742.7–61 |
| 2044 | 1.60.1–7.4 | 51.942.4–61.9 |
| 2045 | 2.10–7.4 | 51.542.8–61.1 |
| 2046 | 1.40.1–8 | 5343.7–62.7 |
| 2047 | 2.50.1–8.4 | 53.544.5–62.5 |
| 2048 | 2.20–10.9 | 53.144–62.6 |
| 2049 | 2.70–9.2 | 52.843.8–63.3 |
| 2050 | 2.90.1–7.7 | 53.644.4–63.8 |
| 2051 | 1.70.1–6.5 | 54.345.1–64.8 |
| 2052 | 1.80–10.1 | 53.444.6–63.2 |
| 2053 | 1.20–7 | 54.244.2–64.2 |
| 2054 | 2.40.3–9.6 | 54.545.3–64.8 |
| 2055 | 1.80–5.7 | 5545.1–65.8 |
| 2056 | 3.50.1–10.1 | 55.245.1–66.6 |
| 2057 | 2.70–9.4 | 54.844.9–65.7 |
| 2058 | 4.30.2–12.1 | 55.145.8–67.7 |
| 2059 | 2.70–11.7 | 55.345.1–67.2 |
| 2060 | 2.90.1–10.7 | 57.246.9–68.1 |
| 2061 | 30.2–11.5 | 56.546.6–66.3 |
| 2062 | 4.10.3–11.8 | 56.846.9–68.5 |
| 2063 | 2.30.2–11 | 57.247.2–68.6 |
| 2064 | 2.10.3–8.1 | 5747.1–67.7 |
| 2065 | 30.1–14.1 | 57.347.1–67.8 |
| 2066 | 2.20–8.7 | 57.347.9–68.7 |
| 2067 | 6.60.7–16.4 | 57.546.4–68.2 |
| 2068 | 1.90–7.8 | 58.748.5–70.5 |
| 2069 | 4.20.7–11.9 | 58.548.4–69 |
| 2070 | 3.90.1–13.1 | 5847.6–71.7 |
| 2071 | 4.20.1–13.5 | 59.347.4–71.6 |
| 2072 | 4.51.3–10.4 | 59.248.1–71.5 |
| 2073 | 3.70.1–15.1 | 59.849.1–70.9 |
| 2074 | 40.3–12.8 | 59.648.7–71.1 |
| 2075 | 3.60.2–15 | 58.748.3–71.4 |
| 2076 | 5.10.2–15.2 | 60.249–70.9 |
| 2077 | 4.40–14.7 | 60.851.1–72.4 |
| 2078 | 5.40.1–17.8 | 59.648.8–72.4 |
| 2079 | 3.10.3–13.4 | 60.750.1–72.6 |
| 2080 | 4.60.3–12 | 59.950–72.3 |
| 2081 | 5.50.1–14.9 | 60.950–73.2 |
| 2082 | 4.60.3–18.7 | 6149.8–73.3 |
| 2083 | 4.50.7–14.2 | 61.251.2–73.6 |
| 2084 | 3.10.3–14 | 61.749.7–74.6 |
| 2085 | 40.3–16.3 | 61.250.8–75.2 |
| 2086 | 7.10.2–19.4 | 61.648.9–74.5 |
| 2087 | 7.30.2–23.2 | 61.650.6–75 |
| 2088 | 6.61.2–19.7 | 62.750.5–77.1 |
| 2089 | 5.71.2–11.1 | 61.950–75.2 |
| 2090 | 3.90–16.8 | 62.551.4–73.7 |
| 2091 | 7.60.2–16.1 | 63.852–75.7 |
| 2092 | 5.60.1–15 | 63.251.2–75.1 |
| 2093 | 3.70.3–13.6 | 63.252–75.4 |
| 2094 | 61.5–17 | 6351.1–76.3 |
| 2095 | 7.10.2–17.3 | 63.952.8–76.4 |
| 2096 | 6.70.1–18.3 | 63.852.2–76.8 |
| 2097 | 3.30.2–17.2 | 62.750.7–75.1 |
| 2098 | 5.90.4–17.2 | 63.451.2–76.8 |
| 2099 | 4.90.1–22 | 63.851.9–76.1 |
| 2100 | 7.70.5–15.1 | 63.351.7–76.2 |
分别查看各国
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。
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