巴西与伊朗对比

巴西与伊朗:热带夜

2014 年热带夜:巴西为 282 夜,伊朗为 90.8 夜(CMIP6 气候模型中位数模拟)。 2014 年巴西的数值较高,高出 191.2 夜,是伊朗的 3.1 倍。

每年夜数 · CMIP6

巴西与伊朗:热带夜2014 年热带夜:巴西为 282 夜,伊朗为 90.8 夜(CMIP6 气候模型中位数模拟)。 2014 年巴西的数值较高,高出 191.2 夜,是伊朗的 3.1 倍。
巴西伊朗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,伊朗为 124.4 夜。

逐年数据

每年夜数 · CMIP6

年份巴西伊朗
201428290.8
2013282.590.6
2012283.690.3
2011281.889.8
2010280.287
2009279.287.2
2008277.888
2007275.987.9
2006275.488.2
2005275.887.1
2004278.586.4
2003276.785.9
2002276.287.7
2001277.786.6
2000273.386.5
199927185.1
1998273.683.8
1997270.984.3
1996264.782.4
1995263.881.6
1994263.680.6
1993258.377.7
1992252.877
1991269.781.9
1990272.583.1
1989267.181.7
1988264.780.4
1987265.979.8
1986265.780.1
1985260.679.7
1984261.178.8
1983255.975.5
1982264.877.9
1981265.380.2
198026279.4
1979261.280.2
1978259.778.1
1977261.877.8
1976258.477.2
1975252.476.6
1974258.776.4
197326176.9
1972258.177.4
1971256.575
1970254.575.3
1969255.175.6
1968254.976.3
1967250.376.1
1966254.575.5
1965250.875.3
1964246.275.3
1963241.976.4
1962257.977.5
1961258.277.7
1960260.377.6
1959255.776.8
1958258.178.4
1957256.678.2
1956251.276.2
1955257.276.5
195425877.6
1953255.277.3
1952255.878.2
1951256.376.6
1950254.477.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份巴西伊朗
2015284257.6–299.594.482.7–106
2016281.5261.4–296.394.183.1–105.3
2017284.1263.2–297.893.981.7–104
2018283.4263.1–298.894.183–106.3
2019283.7262.9–302.495.183.4–105.8
2020286.3264.2–303.695.985.5–107.5
2021287.9266.9–302.397.286–107.7
2022289.6270.7–303.996.285.2–108.3
2023287.3270.5–30398.485.7–110.6
2024291.5268.2–304.69885.1–110.5
2025289.6269.1–304.898.787.2–110.5
2026289.7266.2–305.199.186.7–111.7
2027289.5269.1–303.7100.288.7–112.1
2028291.2271.9–30699.686.2–111.6
2029295.5276.3–309.699.386.7–109.9
2030292.2269.1–306.9100.889.8–111.6
2031295.3274–308.9102.990.1–114.8
2032296.8280.1–310.9101.289–113.9
2033295.4273.3–308.5102.889.9–115.1
2034294.3273.5–311.8104.690.7–117.3
2035295.2274.4–310.910592.1–116.2
2036295.1278.2–307.8103.591.4–115.2
2037299.9283.7–311.310693.1–119.4
2038299.6283.5–312.1105.993.2–116.5
2039296.9279.9–311104.392.9–116.6
2040298.5279.4–311.9105.592.3–118.4
2041301.4282.2–314.1104.892.5–116.4
2042300.6277.8–314.7107.793.4–120.7
2043298.2279.8–312.710692.9–118.8
2044300.3281.2–315.6106.893.6–121.2
2045299.9279.7–313.1108.795.1–121.8
2046302.8285.8–316.6109.296.1–121.9
2047303.3285–316.4110.596.9–123.3
2048304.4287.3–317.3111.498.6–124
2049305.4288.4–318.511095.7–123.4
2050303.9283.9–316.2112.199.6–125.1
2051305.7287.5–317.5111.797.6–124.1
2052305.9290.6–318.811298.3–126
2053305.3285.9–317.5111.597.5–124
2054306.1288.4–319.3111.899–126.3
2055306.4290.8–319.8114.6101.4–128
2056306.7288.3–321.1113.1100.2–126.2
2057306.4287.6–321.1113.899.9–128.9
2058309291–321.4114.2100–127.7
2059310.4290.7–322.8113.498.9–126.3
2060311.6294.4–325.1116.3100.3–129.5
2061307.5290.3–321.2115100.5–127.6
2062309291.5–322.8115.799.7–131.1
2063310.8290.6–322.8117103.7–130.3
2064309.6290.2–321.1115.1101.7–130.3
2065311.1291.6–323.1117.3102.8–132.3
2066312.2294.2–324.2117.7103.7–132.1
2067310.9291.5–323.3119103–133.5
2068311.5293–324.5118.1104.3–131.4
2069310.6292.2–323.6118.4103.8–133.2
2070312.7293–325.3118.2104.9–132.9
2071311.5292.1–323.9119.3105.1–135.3
2072313.3297.8–325.5119103.2–135.1
2073313.8298.6–327.2120.6104.9–137.7
2074311.4292.4–323.5119.1104.4–134.5
2075310.9291.5–324.5119.7105.9–135.5
2076314.2294.4–327.7118.9102.6–137
2077315.1295.6–326.8120.3104.3–135.3
2078314.9296.3–327.1119.2105.3–136
2079313292.8–326.8120.1103.2–135.6
2080311.9294.7–325.4120.4106.1–139.5
2081313.5295.5–325.6120.5104.3–137.1
2082315296.8–327.1122.5107.5–137.7
2083315.7295.3–328.7122.6105.8–140.4
2084316.6298.5–327.9123.7107.6–139.1
2085317.4299.3–329.8121.3106.6–140.6
2086315.8294–328122.1107.9–139.8
2087316.5297.9–328.5123.7108–140.7
2088315.6297.3–328.8124106.5–142.2
2089315296.6–327.9124.1109–139.7
2090316298.9–330.3122.5105.4–141.9
2091317298.1–330.6124.3108–140.5
2092317.6298.7–330.7125.5110.1–140
2093316.3297.5–328.6124.5109–139.3
2094316.4300.2–327.5125108.7–142.9
2095319299.8–330.7125.3108.5–141
2096317.7299.5–330.8125.8109–142.4
2097316.9297.8–329123.6106.9–141.8
2098318.6299.9–331.9125.8109.4–143.8
2099318.1300–330.2123.1107.8–140.1
2100317.3298.4–330.3124.4107.9–143.7

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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