巴西与沙特阿拉伯对比

巴西与沙特阿拉伯：热带夜

2014 年热带夜：巴西为 282 夜，沙特阿拉伯为 181.5 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 100.5 夜，是沙特阿拉伯的 1.55 倍。

在地图上查看其变化

每年夜数 · CMIP6

巴西与沙特阿拉伯：热带夜2014 年热带夜：巴西为 282 夜，沙特阿拉伯为 181.5 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 100.5 夜，是沙特阿拉伯的 1.55 倍。
巴西沙特阿拉伯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，沙特阿拉伯为 218.7 夜。

逐年数据

每年夜数 · CMIP6

年份巴西沙特阿拉伯
2014282181.5
2013282.5180.4
2012283.6182.8
2011281.8182.7
2010280.2179.2
2009279.2177.1
2008277.8180.3
2007275.9178.9
2006275.4177.5
2005275.8177.9
2004278.5177.6
2003276.7177.4
2002276.2175.6
2001277.7178.1
2000273.3176.4
1999271173.2
1998273.6173.4
1997270.9173.8
1996264.7172
1995263.8169.2
1994263.6170.4
1993258.3164.6
1992252.8165.9
1991269.7169.2
1990272.5172.7
1989267.1168.9
1988264.7166.8
1987265.9167.3
1986265.7169.4
1985260.6166
1984261.1165
1983255.9163.5
1982264.8164.7
1981265.3168.9
1980262166.8
1979261.2165.3
1978259.7164.8
1977261.8165.6
1976258.4165.9
1975252.4161.2
1974258.7162.9
1973261163.7
1972258.1163.7
1971256.5160.4
1970254.5162.5
1969255.1161.3
1968254.9162.7
1967250.3159.5
1966254.5159.5
1965250.8159.5
1964246.2159.9
1963241.9160.2
1962257.9163.2
1961258.2163.7
1960260.3165.7
1959255.7164.4
1958258.1164.1
1957256.6165.5
1956251.2163.6
1955257.2162
1954258161.2
1953255.2162.5
1952255.8163.4
1951256.3161.2
1950254.4161.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份巴西沙特阿拉伯
2015284257.6–299.5184.9169.4–198.7
2016281.5261.4–296.3183167.7–195.7
2017284.1263.2–297.8182.6168.1–196.7
2018283.4263.1–298.8186.8173.1–199.4
2019283.7262.9–302.4184.1168.8–199.1
2020286.3264.2–303.6185.3171.8–198.9
2021287.9266.9–302.3188.6173.6–202.8
2022289.6270.7–303.9187.6170.7–202
2023287.3270.5–303188.6173–203.8
2024291.5268.2–304.6187.1172.9–203.9
2025289.6269.1–304.8191.5176–206.1
2026289.7266.2–305.1191.8177.1–205.5
2027289.5269.1–303.7191.2176.6–206.8
2028291.2271.9–306191.9175.5–205.1
2029295.5276.3–309.6192.2176.6–205.7
2030292.2269.1–306.9193.3178.4–206.3
2031295.3274–308.9194.7179.1–207.6
2032296.8280.1–310.9192.2175.2–206
2033295.4273.3–308.5192.6177.5–206.9
2034294.3273.5–311.8196.7181.6–213
2035295.2274.4–310.9196.5179.9–211.6
2036295.1278.2–307.8194.1180–209.7
2037299.9283.7–311.3197183.7–209.9
2038299.6283.5–312.1198.4182.3–213.3
2039296.9279.9–311198184.4–213.6
2040298.5279.4–311.9199.2182.1–212.7
2041301.4282.2–314.1197.7181.4–211.7
2042300.6277.8–314.7198.3181.2–217
2043298.2279.8–312.7198.2182.3–215.3
2044300.3281.2–315.6199.2185.5–213.5
2045299.9279.7–313.1202187.1–216.8
2046302.8285.8–316.6204.1185.3–219.4
2047303.3285–316.4204.1187.4–220
2048304.4287.3–317.3206.1190.7–220
2049305.4288.4–318.5201.6187.7–216.2
2050303.9283.9–316.2205.7190.2–219.3
2051305.7287.5–317.5204.3188.8–222.1
2052305.9290.6–318.8203.8189.6–218
2053305.3285.9–317.5203.8186.3–218.8
2054306.1288.4–319.3207.6188.3–222.3
2055306.4290.8–319.8207.8190.8–221
2056306.7288.3–321.1203.7186.6–220.1
2057306.4287.6–321.1207.5188.8–224.2
2058309291–321.4205.9189.2–221.4
2059310.4290.7–322.8207.3191.6–226.9
2060311.6294.4–325.1206.9192.7–222.8
2061307.5290.3–321.2206.5190.4–220.9
2062309291.5–322.8208.1189.4–228.3
2063310.8290.6–322.8210.4193–227.1
2064309.6290.2–321.1207.5191.9–223.3
2065311.1291.6–323.1208.9193.9–226.1
2066312.2294.2–324.2210.3194.9–228
2067310.9291.5–323.3210.9193.1–228.6
2068311.5293–324.5209.8194.6–228.6
2069310.6292.2–323.6208.9194.5–226.3
2070312.7293–325.3211.2191.2–229
2071311.5292.1–323.9215.1196.3–233.3
2072313.3297.8–325.5213.6195.3–229.3
2073313.8298.6–327.2213.7194.1–231.6
2074311.4292.4–323.5210.5191.9–229.3
2075310.9291.5–324.5212.1196.6–231.8
2076314.2294.4–327.7212.8194.8–230.3
2077315.1295.6–326.8215.1196.6–233.9
2078314.9296.3–327.1215.5197.6–230.7
2079313292.8–326.8213.6197–229
2080311.9294.7–325.4213.6197.1–233.9
2081313.5295.5–325.6214.7194.4–231.6
2082315296.8–327.1214198.9–230.9
2083315.7295.3–328.7214.2198.5–238
2084316.6298.5–327.9217.4197.4–233.1
2085317.4299.3–329.8217.4199.6–237.9
2086315.8294–328217197.4–237.4
2087316.5297.9–328.5217.3199.7–238.7
2088315.6297.3–328.8216.1198.2–243.1
2089315296.6–327.9217.6199.5–239
2090316298.9–330.3217.3198.5–239.2
2091317298.1–330.6218.5202.8–238.4
2092317.6298.7–330.7218.5198.5–241.6
2093316.3297.5–328.6216.6197.8–236.3
2094316.4300.2–327.5218.8202–236.9
2095319299.8–330.7219.4204.2–237.4
2096317.7299.5–330.8219.9197.7–239.6
2097316.9297.8–329216.7196.8–239.7
2098318.6299.9–331.9219.7199.6–241.3
2099318.1300–330.2216.8200.8–236.8
2100317.3298.4–330.3218.7202.3–241

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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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