比利时与南非对比
比利时与南非:热带夜
2014 年热带夜:比利时为 0.2 夜,南非为 27.1 夜(CMIP6 气候模型中位数模拟)。 2014 年南非的数值较高,高出 26.9 夜,是比利时的 110 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,南非的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年比利时为 7.7 夜,南非为 58.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 比利时 | 南非 |
|---|---|---|
| 2014 | 0.2 | 27.1 |
| 2013 | 0.5 | 28.3 |
| 2012 | 0.5 | 27.9 |
| 2011 | 0.1 | 26.1 |
| 2010 | 0.6 | 26 |
| 2009 | 0.1 | 25.8 |
| 2008 | 0 | 24.8 |
| 2007 | 0 | 24.7 |
| 2006 | 0 | 25.5 |
| 2005 | 0.3 | 25.3 |
| 2004 | 0.1 | 25.8 |
| 2003 | 0.4 | 25.1 |
| 2002 | 0 | 25 |
| 2001 | 0 | 24.5 |
| 2000 | 0 | 23.3 |
| 1999 | 0.2 | 23 |
| 1998 | 0 | 23.4 |
| 1997 | 0 | 22.5 |
| 1996 | 0 | 20.4 |
| 1995 | 0 | 19.3 |
| 1994 | 0 | 20 |
| 1993 | 0 | 18.1 |
| 1992 | 0 | 18.1 |
| 1991 | 0 | 22.3 |
| 1990 | 0 | 22.7 |
| 1989 | 0 | 22 |
| 1988 | 0 | 21.2 |
| 1987 | 0 | 21.9 |
| 1986 | 0 | 21 |
| 1985 | 0 | 18.9 |
| 1984 | 0 | 20 |
| 1983 | 0 | 19 |
| 1982 | 0 | 20.3 |
| 1981 | 0 | 20 |
| 1980 | 0 | 21.2 |
| 1979 | 0 | 19.9 |
| 1978 | 0 | 19.8 |
| 1977 | 0 | 19.2 |
| 1976 | 0 | 19.2 |
| 1975 | 0 | 18.8 |
| 1974 | 0 | 19.7 |
| 1973 | 0 | 19.6 |
| 1972 | 0 | 19 |
| 1971 | 0 | 19.1 |
| 1970 | 0 | 18.6 |
| 1969 | 0 | 18.7 |
| 1968 | 0 | 17.8 |
| 1967 | 0 | 17.5 |
| 1966 | 0 | 17.8 |
| 1965 | 0 | 17.2 |
| 1964 | 0 | 14.9 |
| 1963 | 0 | 16.5 |
| 1962 | 0 | 19.6 |
| 1961 | 0 | 19.7 |
| 1960 | 0 | 19.8 |
| 1959 | 0 | 18.5 |
| 1958 | 0 | 19.3 |
| 1957 | 0 | 19.4 |
| 1956 | 0 | 18 |
| 1955 | 0 | 19.5 |
| 1954 | 0 | 18.4 |
| 1953 | 0 | 18.4 |
| 1952 | 0 | 19.3 |
| 1951 | 0 | 18.9 |
| 1950 | 0 | 18.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 比利时 | 南非 |
|---|---|---|
| 2015 | 0.10–3.4 | 28.620–39.5 |
| 2016 | 0.40–3.5 | 26.817.8–37.9 |
| 2017 | 0.30–4.5 | 28.919.6–37.8 |
| 2018 | 0.30–2.1 | 29.620.6–40.6 |
| 2019 | 0.40–3 | 29.820.8–41.5 |
| 2020 | 0.40–4.4 | 29.518.9–39.1 |
| 2021 | 0.30–3.8 | 31.121.4–42.9 |
| 2022 | 0.70–4.2 | 3223.7–43.1 |
| 2023 | 0.60–4.8 | 31.922.9–41.8 |
| 2024 | 0.70–4.7 | 3324–45.6 |
| 2025 | 1.30–5.8 | 31.920.7–44.5 |
| 2026 | 1.20–5.5 | 34.521.9–46.9 |
| 2027 | 0.80–3.6 | 34.423–47.7 |
| 2028 | 0.60–6 | 33.522.9–46 |
| 2029 | 1.10–4.6 | 36.226.5–48.3 |
| 2030 | 0.90–4 | 36.124.9–49 |
| 2031 | 0.70–4 | 36.324.5–50.3 |
| 2032 | 0.70–5.4 | 36.424.5–49.2 |
| 2033 | 0.90–5 | 36.924.5–48.3 |
| 2034 | 1.50–8.7 | 37.626.4–51.8 |
| 2035 | 1.20–7.3 | 37.625.2–49.5 |
| 2036 | 1.50–6.5 | 3826.5–50.5 |
| 2037 | 1.60–7.1 | 39.928.2–53.4 |
| 2038 | 0.90–10.4 | 41.528.4–54.2 |
| 2039 | 0.90–5.5 | 39.227–52.9 |
| 2040 | 10–6.1 | 38.125.6–55.6 |
| 2041 | 1.80–7.2 | 40.227.4–54.3 |
| 2042 | 1.10–5.5 | 4229–56.4 |
| 2043 | 1.80–6 | 42.128.2–58.4 |
| 2044 | 1.60.1–7.4 | 41.929.5–57.8 |
| 2045 | 2.10–7.4 | 42.728.2–59 |
| 2046 | 1.40.1–8 | 44.130–59.5 |
| 2047 | 2.50.1–8.4 | 44.630.7–61.2 |
| 2048 | 2.20–10.9 | 4531.9–61.5 |
| 2049 | 2.70–9.2 | 45.632.3–61.4 |
| 2050 | 2.90.1–7.7 | 46.931–63.6 |
| 2051 | 1.70.1–6.5 | 47.532–65 |
| 2052 | 1.80–10.1 | 48.332.7–64.3 |
| 2053 | 1.20–7 | 45.733.7–62.1 |
| 2054 | 2.40.3–9.6 | 4833.3–64.3 |
| 2055 | 1.80–5.7 | 46.833–68.4 |
| 2056 | 3.50.1–10.1 | 47.933.2–64.8 |
| 2057 | 2.70–9.4 | 50.232.6–68.9 |
| 2058 | 4.30.2–12.1 | 47.934–66.4 |
| 2059 | 2.70–11.7 | 51.333.1–66.9 |
| 2060 | 2.90.1–10.7 | 51.936–69.9 |
| 2061 | 30.2–11.5 | 50.534.8–71.3 |
| 2062 | 4.10.3–11.8 | 50.532.7–71 |
| 2063 | 2.30.2–11 | 50.434.3–69.7 |
| 2064 | 2.10.3–8.1 | 5134.1–67.7 |
| 2065 | 30.1–14.1 | 50.433.6–70.2 |
| 2066 | 2.20–8.7 | 5335.7–72.4 |
| 2067 | 6.60.7–16.4 | 50.634.8–70.4 |
| 2068 | 1.90–7.8 | 54.837.8–72.5 |
| 2069 | 4.20.7–11.9 | 54.339.1–73.4 |
| 2070 | 3.90.1–13.1 | 54.337.2–73.3 |
| 2071 | 4.20.1–13.5 | 55.837.9–76.9 |
| 2072 | 4.51.3–10.4 | 5639.4–78.6 |
| 2073 | 3.70.1–15.1 | 60.443.4–80.3 |
| 2074 | 40.3–12.8 | 57.439.1–75.3 |
| 2075 | 3.60.2–15 | 56.137.7–76 |
| 2076 | 5.10.2–15.2 | 58.538.4–75.3 |
| 2077 | 4.40–14.7 | 57.341–80.5 |
| 2078 | 5.40.1–17.8 | 5639.5–79 |
| 2079 | 3.10.3–13.4 | 57.639.3–78 |
| 2080 | 4.60.3–12 | 59.540.3–80.9 |
| 2081 | 5.50.1–14.9 | 5841.5–79.6 |
| 2082 | 4.60.3–18.7 | 58.839.7–77.7 |
| 2083 | 4.50.7–14.2 | 60.839.1–82.9 |
| 2084 | 3.10.3–14 | 62.540.4–82.9 |
| 2085 | 40.3–16.3 | 60.741.3–87.6 |
| 2086 | 7.10.2–19.4 | 60.542.1–83.3 |
| 2087 | 7.30.2–23.2 | 57.941–82.9 |
| 2088 | 6.61.2–19.7 | 64.243.4–85.3 |
| 2089 | 5.71.2–11.1 | 61.541.3–81.2 |
| 2090 | 3.90–16.8 | 61.641.5–86.8 |
| 2091 | 7.60.2–16.1 | 63.341.6–86.3 |
| 2092 | 5.60.1–15 | 63.144.9–84.8 |
| 2093 | 3.70.3–13.6 | 62.443.2–86.1 |
| 2094 | 61.5–17 | 63.145.6–87.4 |
| 2095 | 7.10.2–17.3 | 65.342.6–91.7 |
| 2096 | 6.70.1–18.3 | 6142.7–90.1 |
| 2097 | 3.30.2–17.2 | 58.841.2–84.6 |
| 2098 | 5.90.4–17.2 | 65.143.8–89.8 |
| 2099 | 4.90.1–22 | 64.345–87 |
| 2100 | 7.70.5–15.1 | 58.742–88.2 |
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。
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
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