巴西与阿拉伯联合酋长国对比

巴西与阿拉伯联合酋长国：热带夜

2014 年热带夜：巴西为 282 夜，阿拉伯联合酋长国为 215.2 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 66.8 夜，是阿拉伯联合酋长国的 1.31 倍。

在地图上查看其变化

每年夜数 · CMIP6

巴西与阿拉伯联合酋长国：热带夜2014 年热带夜：巴西为 282 夜，阿拉伯联合酋长国为 215.2 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 66.8 夜，是阿拉伯联合酋长国的 1.31 倍。
巴西阿拉伯联合酋长国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，巴西的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年巴西为 317.3 夜，阿拉伯联合酋长国为 252 夜。

逐年数据

每年夜数 · CMIP6

年份巴西阿拉伯联合酋长国
2014282215.2
2013282.5215.5
2012283.6219.6
2011281.8218
2010280.2213.7
2009279.2212
2008277.8214.8
2007275.9215.8
2006275.4215.4
2005275.8212.2
2004278.5212.4
2003276.7213.4
2002276.2211.6
2001277.7211.6
2000273.3212.5
1999271211.7
1998273.6209.4
1997270.9210.8
1996264.7207.8
1995263.8206.6
1994263.6206.8
1993258.3204.2
1992252.8204.3
1991269.7206.7
1990272.5208.5
1989267.1205.9
1988264.7204
1987265.9203.6
1986265.7206.2
1985260.6204.1
1984261.1202.6
1983255.9200.4
1982264.8203.2
1981265.3205.1
1980262202.8
1979261.2203.2
1978259.7201.5
1977261.8202.2
1976258.4202.3
1975252.4199.3
1974258.7202
1973261200.9
1972258.1199.4
1971256.5197
1970254.5201.3
1969255.1199.8
1968254.9202.3
1967250.3197.7
1966254.5198
1965250.8200.5
1964246.2199.6
1963241.9197.9
1962257.9201.1
1961258.2200.6
1960260.3204.3
1959255.7202.6
1958258.1202.7
1957256.6203.2
1956251.2202.6
1955257.2201
1954258200.2
1953255.2200
1952255.8200.2
1951256.3198.9
1950254.4201.1
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份巴西阿拉伯联合酋长国
2015284257.6–299.5221.6206.4–232
2016281.5261.4–296.3218.7207.6–229.7
2017284.1263.2–297.8218.3203.9–232.7
2018283.4263.1–298.8221.4209.2–237.6
2019283.7262.9–302.4218.7202.8–232.2
2020286.3264.2–303.6221.7206.9–233.5
2021287.9266.9–302.3224.6210.5–236.3
2022289.6270.7–303.9225.3206.9–235.7
2023287.3270.5–303225209.1–236.4
2024291.5268.2–304.6223.8205.2–240
2025289.6269.1–304.8226.3210.1–245
2026289.7266.2–305.1227.7214.2–244.9
2027289.5269.1–303.7227.6208.2–241.5
2028291.2271.9–306229.9210.9–241.3
2029295.5276.3–309.6225.1211–240
2030292.2269.1–306.9227.6216.2–240.9
2031295.3274–308.9229.3215.4–238.4
2032296.8280.1–310.9225.5211.9–240.5
2033295.4273.3–308.5224.2211.4–241.3
2034294.3273.5–311.8230.4213–245
2035295.2274.4–310.9231.6214.2–246.5
2036295.1278.2–307.8230217.2–247.1
2037299.9283.7–311.3232.6220.2–244.5
2038299.6283.5–312.1233.6213.5–248.4
2039296.9279.9–311231.4218.1–245.6
2040298.5279.4–311.9232.5214–246.4
2041301.4282.2–314.1230.4214.9–244.7
2042300.6277.8–314.7232.6213.3–249.6
2043298.2279.8–312.7233.9220.3–250.1
2044300.3281.2–315.6236.3223.3–250
2045299.9279.7–313.1236217.2–252
2046302.8285.8–316.6237.5219.3–255
2047303.3285–316.4240.9222.1–253
2048304.4287.3–317.3241.8226.1–256.9
2049305.4288.4–318.5233.7215.7–249.4
2050303.9283.9–316.2240.1226.8–250.9
2051305.7287.5–317.5240.9227.2–254.5
2052305.9290.6–318.8239.2228.3–256.1
2053305.3285.9–317.5241.4221.7–257.4
2054306.1288.4–319.3241.3223.5–256.1
2055306.4290.8–319.8240.5223.3–259.3
2056306.7288.3–321.1239.3220.5–258.9
2057306.4287.6–321.1242.2226.6–260.2
2058309291–321.4238.9224.7–255.4
2059310.4290.7–322.8244.2226.6–262.6
2060311.6294.4–325.1241227.4–255.2
2061307.5290.3–321.2239.9227.9–253.1
2062309291.5–322.8243.2227.3–264.4
2063310.8290.6–322.8245.3229.1–264.6
2064309.6290.2–321.1241.1225.2–258.6
2065311.1291.6–323.1244.3225.3–260.5
2066312.2294.2–324.2246230.8–261.7
2067310.9291.5–323.3245.4223–265.8
2068311.5293–324.5245.4232.6–266.7
2069310.6292.2–323.6244.6227.4–262.2
2070312.7293–325.3248.1225.9–266.5
2071311.5292.1–323.9248.6231–266
2072313.3297.8–325.5247.9230.2–267
2073313.8298.6–327.2247.9227.6–261.8
2074311.4292.4–323.5247.5227.3–270.8
2075310.9291.5–324.5251.8234.3–269.8
2076314.2294.4–327.7247.5228.7–266.1
2077315.1295.6–326.8252.9233.3–269.1
2078314.9296.3–327.1249.9234.1–264.7
2079313292.8–326.8247.6227.4–265.8
2080311.9294.7–325.4248232–267.9
2081313.5295.5–325.6250.7231–267.6
2082315296.8–327.1248.9235.3–266.8
2083315.7295.3–328.7248.6234.2–273.1
2084316.6298.5–327.9248.9228.9–268.2
2085317.4299.3–329.8253236.8–270.7
2086315.8294–328253.4234.9–273.3
2087316.5297.9–328.5252.9236.9–274.1
2088315.6297.3–328.8252.1231.1–276.1
2089315296.6–327.9253.4234.1–271.9
2090316298.9–330.3251.9236.4–274.5
2091317298.1–330.6254.8240.7–274.4
2092317.6298.7–330.7254.6232.1–275.1
2093316.3297.5–328.6250.9233.5–268.9
2094316.4300.2–327.5251.6236.6–270.8
2095319299.8–330.7252.4238.2–272
2096317.7299.5–330.8254.6236–272.6
2097316.9297.8–329251.4227.8–278
2098318.6299.9–331.9257.8237.5–278.8
2099318.1300–330.2252.5233.5–276.1
2100317.3298.4–330.3252236.2–276

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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。

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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