巴西与刚果（金）对比

巴西与刚果（金）：热带夜

2014 年热带夜：巴西为 282 夜，刚果（金）为 248.5 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 33.5 夜，是刚果（金）的 1.13 倍。

在地图上查看其变化

每年夜数 · CMIP6

巴西与刚果（金）：热带夜2014 年热带夜：巴西为 282 夜，刚果（金）为 248.5 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 33.5 夜，是刚果（金）的 1.13 倍。
巴西刚果（金）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，刚果（金）为 324.1 夜。

逐年数据

每年夜数 · CMIP6

年份巴西刚果（金）
2014282248.5
2013282.5249.2
2012283.6250.9
2011281.8248.7
2010280.2243.5
2009279.2243
2008277.8239.7
2007275.9237.7
2006275.4239
2005275.8237.3
2004278.5238.5
2003276.7239.3
2002276.2236.5
2001277.7242.5
2000273.3233.5
1999271226.2
1998273.6230.6
1997270.9226.6
1996264.7218.6
1995263.8217.2
1994263.6211.9
1993258.3201.5
1992252.8197.6
1991269.7220.1
1990272.5225.4
1989267.1218.4
1988264.7216.7
1987265.9216.6
1986265.7216.8
1985260.6206.1
1984261.1205.9
1983255.9204.3
1982264.8204.5
1981265.3215.2
1980262211.4
1979261.2208.5
1978259.7202.6
1977261.8206.5
1976258.4201.9
1975252.4199
1974258.7204
1973261208.4
1972258.1202.5
1971256.5196.3
1970254.5201.7
1969255.1197.3
1968254.9199
1967250.3188.8
1966254.5194.7
1965250.8189
1964246.2177.3
1963241.9178.5
1962257.9203.2
1961258.2203.9
1960260.3209.8
1959255.7203.3
1958258.1204.3
1957256.6204
1956251.2197.6
1955257.2200.5
1954258201
1953255.2204.6
1952255.8201.9
1951256.3204.8
1950254.4200.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份巴西刚果（金）
2015284257.6–299.5256.6217.3–277.7
2016281.5261.4–296.3247.7213.3–269.3
2017284.1263.2–297.8257.4226.6–278.3
2018283.4263.1–298.8258.8228.1–276.8
2019283.7262.9–302.4255.8222.6–278.7
2020286.3264.2–303.6259.4227.4–282.3
2021287.9266.9–302.3262.6234.7–283.8
2022289.6270.7–303.9264.8235.1–288.5
2023287.3270.5–303263.9236.8–287.2
2024291.5268.2–304.6270.9237.9–290
2025289.6269.1–304.8266.1230.6–292.2
2026289.7266.2–305.1267.4226.8–294.5
2027289.5269.1–303.7268.6230.6–293.6
2028291.2271.9–306271.7239.7–295.9
2029295.5276.3–309.6275.9249.3–296.6
2030292.2269.1–306.9270.4241.7–296.1
2031295.3274–308.9279.4246.6–297.5
2032296.8280.1–310.9277.9249.4–302.3
2033295.4273.3–308.5276.9245.9–301.6
2034294.3273.5–311.8276.7247.4–305.6
2035295.2274.4–310.9281243.7–305.1
2036295.1278.2–307.8278.3244.7–304.9
2037299.9283.7–311.3286.9256.1–308.6
2038299.6283.5–312.1289261.5–307.1
2039296.9279.9–311284.7253.4–307.3
2040298.5279.4–311.9284.5254.7–311.5
2041301.4282.2–314.1289.9258.4–310.8
2042300.6277.8–314.7286.9254.1–314.3
2043298.2279.8–312.7285.9253–313
2044300.3281.2–315.6288.3253.6–312.5
2045299.9279.7–313.1289.4260.1–314.1
2046302.8285.8–316.6298.3261.3–317.3
2047303.3285–316.4298.5268.2–317.8
2048304.4287.3–317.3299.1268–320.8
2049305.4288.4–318.5300.3269.6–320.4
2050303.9283.9–316.2297.8267.2–320.6
2051305.7287.5–317.5298.4272.3–323.1
2052305.9290.6–318.8300.2271.5–324
2053305.3285.9–317.5298.7265.5–322.6
2054306.1288.4–319.3300.6269.6–322.8
2055306.4290.8–319.8301.9274.9–325.6
2056306.7288.3–321.1302.1266.2–328.3
2057306.4287.6–321.1305.1274.4–326.5
2058309291–321.4305.3274.1–327.1
2059310.4290.7–322.8305.4279–329.6
2060311.6294.4–325.1310.7273.5–330.2
2061307.5290.3–321.2307266.1–329.8
2062309291.5–322.8308.8269.1–332
2063310.8290.6–322.8308.4277.6–328.4
2064309.6290.2–321.1310.6278.4–329.6
2065311.1291.6–323.1311.9282.4–331.2
2066312.2294.2–324.2310.4284.2–330.3
2067310.9291.5–323.3308.8275.9–334
2068311.5293–324.5313.9280.8–334.6
2069310.6292.2–323.6312.1270.6–332.7
2070312.7293–325.3309.6278–334
2071311.5292.1–323.9312.6285–336.5
2072313.3297.8–325.5317287.7–334.6
2073313.8298.6–327.2316.2291.2–337.1
2074311.4292.4–323.5311.6284.5–334.9
2075310.9291.5–324.5312.3279.3–335.2
2076314.2294.4–327.7315.9288.7–337.1
2077315.1295.6–326.8318.5292.6–338.2
2078314.9296.3–327.1315287.3–337.1
2079313292.8–326.8314.8286.3–336
2080311.9294.7–325.4318.5286.8–337.8
2081313.5295.5–325.6318.4287.8–336.7
2082315296.8–327.1318.7289.8–336.5
2083315.7295.3–328.7317.4290.6–340.9
2084316.6298.5–327.9321.6293.8–339.8
2085317.4299.3–329.8324.4294.3–341.4
2086315.8294–328319290.7–340.7
2087316.5297.9–328.5318.3291.9–339.6
2088315.6297.3–328.8320.9292.9–340
2089315296.6–327.9322.1293.9–339.8
2090316298.9–330.3320.4295.5–341.7
2091317298.1–330.6325.4294.3–343.3
2092317.6298.7–330.7321.5294.4–342.4
2093316.3297.5–328.6323.1297.8–341.2
2094316.4300.2–327.5323.1296.5–341.1
2095319299.8–330.7325.6299.1–343.7
2096317.7299.5–330.8321.8296.2–344.1
2097316.9297.8–329321.5292.6–342
2098318.6299.9–331.9324.2295.1–342.8
2099318.1300–330.2322.8293.7–344.6
2100317.3298.4–330.3324.1292.1–344.1

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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