沙特阿拉伯与越南对比

沙特阿拉伯与越南:热带夜

2014 年热带夜:沙特阿拉伯为 181.5 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年越南的数值较高,高出 61.1 夜,是沙特阿拉伯的 1.34 倍。

每年夜数 · CMIP6

沙特阿拉伯与越南:热带夜2014 年热带夜:沙特阿拉伯为 181.5 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年越南的数值较高,高出 61.1 夜,是沙特阿拉伯的 1.34 倍。
沙特阿拉伯越南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,越南的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年沙特阿拉伯为 218.7 夜,越南为 282.7 夜。

逐年数据

每年夜数 · CMIP6

年份沙特阿拉伯越南
2014181.5242.6
2013180.4243.6
2012182.8242.4
2011182.7241.9
2010179.2240.9
2009177.1240
2008180.3238.7
2007178.9238
2006177.5239.1
2005177.9238.3
2004177.6241.8
2003177.4235.9
2002175.6236.3
2001178.1241.3
2000176.4237
1999173.2236
1998173.4236.8
1997173.8237.1
1996172231.4
1995169.2229.9
1994170.4231.2
1993164.6225.3
1992165.9221.9
1991169.2229.8
1990172.7233.1
1989168.9229.2
1988166.8231.7
1987167.3230.3
1986169.4230.9
1985166228
1984165230.2
1983163.5224.9
1982164.7227.5
1981168.9229.7
1980166.8228.1
1979165.3228.9
1978164.8227.5
1977165.6229
1976165.9225.8
1975161.2225.8
1974162.9225.7
1973163.7230.3
1972163.7225.6
1971160.4225.5
1970162.5226.1
1969161.3227
1968162.7227.1
1967159.5222.9
1966159.5226.8
1965159.5225.4
1964159.9222.6
1963160.2224.3
1962163.2227.8
1961163.7229.4
1960165.7228.5
1959164.4226.2
1958164.1230.9
1957165.5228.4
1956163.6228.7
1955162227.5
1954161.2226.3
1953162.5228.2
1952163.4228.5
1951161.2229.2
1950161.6228.9
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份沙特阿拉伯越南
2015184.9169.4–198.7245.8228.2–261.9
2016183167.7–195.7243.7226.1–259.4
2017182.6168.1–196.7247229.6–260.7
2018186.8173.1–199.4248.3228.8–263.3
2019184.1168.8–199.1248.1229.2–262.8
2020185.3171.8–198.9248.8229.6–262.9
2021188.6173.6–202.8251.1233.1–266.7
2022187.6170.7–202252.4234.3–266.8
2023188.6173–203.8253.4235.4–266.6
2024187.1172.9–203.9251.3236.7–264.6
2025191.5176–206.1252.4234.1–266.2
2026191.8177.1–205.5252.8232.9–268.5
2027191.2176.6–206.8253.2237–268.8
2028191.9175.5–205.1254.3237.7–272
2029192.2176.6–205.7258.1238.5–273.7
2030193.3178.4–206.3256.4240.9–270.1
2031194.7179.1–207.6255.9241.2–270.9
2032192.2175.2–206257.4239.1–269.9
2033192.6177.5–206.9258.3241.7–273.2
2034196.7181.6–213258.8240.7–275.8
2035196.5179.9–211.6258.6242.5–275.4
2036194.1180–209.7258.3239.1–273.8
2037197183.7–209.9258.7242.4–272.4
2038198.4182.3–213.3263.4247.6–277.3
2039198184.4–213.6260.2243.7–275.9
2040199.2182.1–212.7260.1242.8–274.8
2041197.7181.4–211.7263.1245.9–279
2042198.3181.2–217263.6246.5–279
2043198.2182.3–215.3261.4245.5–279.6
2044199.2185.5–213.5263.2245.2–277.6
2045202187.1–216.8265.5249.6–281.4
2046204.1185.3–219.4264.9246.8–278.1
2047204.1187.4–220266.9250.4–282.9
2048206.1190.7–220268250.5–283.8
2049201.6187.7–216.2267.8251.2–284.8
2050205.7190.2–219.3268251.2–283.5
2051204.3188.8–222.1270.9254.3–285.4
2052203.8189.6–218268.3253.3–282.8
2053203.8186.3–218.8268.5250.1–283.2
2054207.6188.3–222.3269.1250.8–283.6
2055207.8190.8–221270249.8–284.2
2056203.7186.6–220.1271.7254.8–290.1
2057207.5188.8–224.2270253–285.7
2058205.9189.2–221.4270.7252.9–286.5
2059207.3191.6–226.9273257.6–286.6
2060206.9192.7–222.8275.7255.6–290.6
2061206.5190.4–220.9273.5254.6–289.5
2062208.1189.4–228.3271.4253.1–290.2
2063210.4193–227.1272.9252.7–288.1
2064207.5191.9–223.3273.8254.4–288.1
2065208.9193.9–226.1272255.8–286.3
2066210.3194.9–228271.8254.4–287.3
2067210.9193.1–228.6270.8252.1–287.6
2068209.8194.6–228.6275.6256.9–292.4
2069208.9194.5–226.3276.4258.5–292
2070211.2191.2–229274.6257.8–292.8
2071215.1196.3–233.3276.2255.2–294.1
2072213.6195.3–229.3277256.8–291.4
2073213.7194.1–231.6278.5262.7–293.4
2074210.5191.9–229.3277.6259.2–295.8
2075212.1196.6–231.8276.4258.7–294.4
2076212.8194.8–230.3279.2258.5–296.6
2077215.1196.6–233.9280264.9–294.7
2078215.5197.6–230.7278.4258.6–295.5
2079213.6197–229279.3263.4–293.6
2080213.6197.1–233.9280261.4–296.5
2081214.7194.4–231.6280.4261.2–297.9
2082214198.9–230.9280.9258.9–296
2083214.2198.5–238278.4261.6–295
2084217.4197.4–233.1279257.4–293.8
2085217.4199.6–237.9281.3265–297.8
2086217197.4–237.4282.3260.2–297.5
2087217.3199.7–238.7281.9261.3–300.7
2088216.1198.2–243.1283.1265.7–301.5
2089217.6199.5–239280.8261.2–301.6
2090217.3198.5–239.2280.5264.5–297.6
2091218.5202.8–238.4283.3264.3–298.9
2092218.5198.5–241.6281.1261.5–299.4
2093216.6197.8–236.3280.5263.4–296.1
2094218.8202–236.9283264.5–300
2095219.4204.2–237.4285.5264.5–302.9
2096219.9197.7–239.6281.8264.8–299.8
2097216.7196.8–239.7281.5263.3–299
2098219.7199.6–241.3282.5263.9–301.5
2099216.8200.8–236.8282.7265.1–298
2100218.7202.3–241282.7261–298.2

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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