苏丹与瑞典对比

苏丹与瑞典：热带夜

2014 年热带夜：苏丹为 242.4 夜，瑞典为 0.1 夜（CMIP6 气候模型中位数模拟）。 2014 年苏丹的数值较高，高出 242.4 夜，是瑞典的 4,800 倍。

在地图上查看其变化

每年夜数 · CMIP6

苏丹与瑞典：热带夜2014 年热带夜：苏丹为 242.4 夜，瑞典为 0.1 夜（CMIP6 气候模型中位数模拟）。 2014 年苏丹的数值较高，高出 242.4 夜，是瑞典的 4,800 倍。
苏丹瑞典CMIP6 模型中位数（SSP2-4.5，中间路径）模型第 10–90 百分位

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 278.6 夜，瑞典为 0.7 夜。

逐年数据

每年夜数 · CMIP6

年份苏丹瑞典
2014242.40.1
20132400.1
20122420
2011242.20
2010240.60
2009236.50
2008237.10
20072360
2006235.30
2005233.10
2004233.50
2003235.60
2002234.70
2001235.40
2000230.50
1999232.10
1998230.20
1997231.10
1996227.30
1995227.80
1994225.30
1993219.10
1992217.80
1991227.30
1990227.50
19892230
1988223.10
1987224.40
1986226.40
1985222.10
1984220.70
19832170
1982216.30
1981223.20
19802200
1979218.40
1978218.50
1977219.30
1976220.10
1975215.70
1974217.50
19732200
1972217.90
1971215.50
19702170
1969213.10
19682140
1967210.30
1966213.30
1965213.40
1964213.20
1963210.10
19622170
1961216.90
1960221.30
1959217.80
1958216.20
1957218.90
1956217.20
1955216.60
1954218.90
1953215.10
1952216.40
1951218.50
1950214.10
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份苏丹瑞典
2015242.3225.3–258.30.10–0.3
2016241.4223.3–254.100–0.3
2017243.2223–259.100–0.4
2018242.3226.4–258.500–0.3
2019243.1221.7–260.40.10–0.5
2020244.9225.9–261.700–0.3
2021245.6229.1–261.500–0.3
2022249230.9–262.30.10–0.5
2023247.1226.8–263.10.10–0.6
2024251.5232.8–266.100–0.4
2025250.7232.4–265.60.10–1
2026250230.8–266.60.10–1
2027248.8228.4–265.60.10–0.3
2028249232.2–263.10.10–0.6
2029251.4232.1–2660.10–0.8
2030252235.4–266.70.10–0.5
2031253.3234.4–268.90.10–0.4
2032250.4232.3–266.60.10–0.8
2033254.4235.3–269.40.10–0.8
2034254.2234.5–269.90.10–0.7
2035258.3240.2–273.60.20–0.8
2036252.8235.6–268.60.10–0.8
2037256.7238.6–271.80.10–1
2038258.7244.8–272.10.10–1.2
2039259.5241.2–272.50.10–0.8
2040256.4236.7–272.30.10–0.8
2041259.1241.2–274.50.10–1.2
2042258.7242–274.70.20–1.2
2043258.1240.3–272.60.20–1.1
2044257.3238.6–274.70.10–1.1
2045258.8243.1–276.20.10–0.6
2046261.1241.7–277.60.20–1.3
2047261.4244.6–278.40.30–2.1
2048260.4243.4–279.50.30–1.8
2049261.9242.6–275.90.20–1.6
2050263.5245.4–2790.20–1.8
2051263.6246.6–278.80.20–1.7
2052263.8248.7–278.30.20–2
2053262.8242.4–279.20.10–1.3
2054266.3246.6–282.90.20–1.1
2055265.6245.9–281.40.20–1.6
2056264.1242.6–281.50.20–1.5
2057266.4247.6–283.40.20–1.4
2058265.2247.4–280.30.30–2.3
2059268.4249.6–285.40.30–1.7
2060263.6246.7–284.40.20–1.4
2061266.9250.1–281.90.40–1.6
2062266.4248.5–2850.30.1–1.7
2063267.1246.9–283.40.20–2.1
2064269250.7–284.70.20–1.6
2065269.8253.9–285.60.30–3
2066271.4251.9–287.30.20–2.8
2067270.9250–288.40.30–2
2068271.9251.7–289.80.20–1.5
2069268251.1–286.20.60.1–3.1
2070269252.3–285.80.30–2
2071275.5254.1–290.40.30–2.7
2072273.3254.2–289.40.20–2
2073271.9250.7–287.60.40–4.6
2074270.9249–290.10.20–2.8
2075273.1254–291.90.30–2.9
2076272.7255.2–290.90.40–2.4
2077274.6255.2–292.70.40–2.2
2078274.3255.6–291.20.50–3.1
2079272255.2–288.50.40–3.1
2080276.6256–292.20.30–2.1
2081275.1254.1–294.80.30–3
2082272.9258.7–288.60.40–4.4
2083276.5258–291.70.50.1–3
2084275.4253–294.90.30–2.4
2085275.3258.6–291.60.40–3.3
2086276.4256.9–296.60.70–4
2087273.5253.1–293.30.60–6
2088273.6253.7–293.60.50–2.7
2089276.5256.6–293.40.50.1–3.4
2090276.6256.4–294.60.40–2.9
2091277.4256.4–296.60.60–3.9
2092274.6254.3–294.90.80–4.2
2093278261.9–292.10.70.1–4.8
2094280.3262.2–2940.50–2.6
2095277.5262.6–2940.50.1–4.3
2096279.7258.7–2970.50–3.7
2097276.3254.1–297.60.50–4.5
2098277.7258.2–295.50.50.1–3.7
2099276.8257.2–296.20.30–3.2
2100278.6259–294.30.70–4.4

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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。

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