巴西与哥伦比亚对比

巴西与哥伦比亚：热带夜

2014 年热带夜：巴西为 282 夜，哥伦比亚为 279.9 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 2.1 夜，是哥伦比亚的 1.01 倍。

在地图上查看其变化

每年夜数 · CMIP6

巴西与哥伦比亚：热带夜2014 年热带夜：巴西为 282 夜，哥伦比亚为 279.9 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 2.1 夜，是哥伦比亚的 1.01 倍。
巴西哥伦比亚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 2010 年超过哥伦比亚以来，巴西的数值一直更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年巴西为 317.3 夜，哥伦比亚为 297.4 夜。

逐年数据

每年夜数 · CMIP6

年份巴西哥伦比亚
2014282279.9
2013282.5279.8
2012283.6280.7
2011281.8280
2010280.2279.1
2009279.2279.3
2008277.8278.4
2007275.9277.3
2006275.4277.5
2005275.8277.7
2004278.5278.2
2003276.7277.5
2002276.2277.3
2001277.7278
2000273.3276.2
1999271274.6
1998273.6275.2
1997270.9274.4
1996264.7271.2
1995263.8271.3
1994263.6270.4
1993258.3268
1992252.8264.7
1991269.7273.9
1990272.5275.6
1989267.1271.9
1988264.7270.3
1987265.9271.8
1986265.7271.4
1985260.6268.4
1984261.1268.2
1983255.9265.1
1982264.8269.2
1981265.3272.1
1980262270.2
1979261.2269.3
1978259.7268.3
1977261.8269.6
1976258.4266.1
1975252.4261.6
1974258.7266.6
1973261269.9
1972258.1266.6
1971256.5265.7
1970254.5265.4
1969255.1266
1968254.9264.6
1967250.3261.7
1966254.5263.7
1965250.8263.2
1964246.2260.3
1963241.9254.8
1962257.9266.7
1961258.2267
1960260.3268.6
1959255.7265.5
1958258.1268
1957256.6267.4
1956251.2263.3
1955257.2267.7
1954258267.2
1953255.2267.9
1952255.8268.1
1951256.3267.2
1950254.4266.5
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份巴西哥伦比亚
2015284257.6–299.5280.4265.9–286.4
2016281.5261.4–296.3279.9267.9–285.6
2017284.1263.2–297.8281.7270.6–286.3
2018283.4263.1–298.8281.5271.8–286.3
2019283.7262.9–302.4281.1269.5–286.9
2020286.3264.2–303.6282.1270.6–287.9
2021287.9266.9–302.3283.2273.9–287.8
2022289.6270.7–303.9283.7273.6–288.5
2023287.3270.5–303282.6274.2–288.8
2024291.5268.2–304.6284.7274.7–289.8
2025289.6269.1–304.8283.5273.3–289.7
2026289.7266.2–305.1283.4272.7–289.7
2027289.5269.1–303.7283.9273.4–289.2
2028291.2271.9–306285275.1–290.7
2029295.5276.3–309.6285.8276–290.3
2030292.2269.1–306.9284.2273.4–289.8
2031295.3274–308.9285.8274.8–291.2
2032296.8280.1–310.9286.7278.3–292.6
2033295.4273.3–308.5285.7274.7–290.3
2034294.3273.5–311.8285275.8–292.8
2035295.2274.4–310.9285.9277.3–292
2036295.1278.2–307.8286276.9–291.6
2037299.9283.7–311.3287.5279.3–291.9
2038299.6283.5–312.1288279.7–292.4
2039296.9279.9–311287.6278.8–292.7
2040298.5279.4–311.9287.6279.3–294.5
2041301.4282.2–314.1288.2279.9–292.7
2042300.6277.8–314.7288.2278.3–295
2043298.2279.8–312.7287.7277.7–293.4
2044300.3281.2–315.6287.8278.5–295.1
2045299.9279.7–313.1288.8280.5–293.9
2046302.8285.8–316.6290.4281–295.5
2047303.3285–316.4289.9280.6–294.6
2048304.4287.3–317.3290.7281.4–296.8
2049305.4288.4–318.5290.9282–295.3
2050303.9283.9–316.2290.1280.8–296
2051305.7287.5–317.5290.6280.9–295.7
2052305.9290.6–318.8290.9281.9–296.7
2053305.3285.9–317.5290.5280.8–296.3
2054306.1288.4–319.3290.8281.3–297.2
2055306.4290.8–319.8291.1282.6–298
2056306.7288.3–321.1291.5281.5–298.6
2057306.4287.6–321.1291.5281.2–297.3
2058309291–321.4291.8281.7–298.9
2059310.4290.7–322.8292.8282–299.2
2060311.6294.4–325.1293.2283–300.1
2061307.5290.3–321.2292.2281.9–298.7
2062309291.5–322.8292.6282.4–299.7
2063310.8290.6–322.8293.6282.3–298.6
2064309.6290.2–321.1292.7282.9–299.1
2065311.1291.6–323.1293.8283.6–299.4
2066312.2294.2–324.2293.1283.4–299.8
2067310.9291.5–323.3292.9281.8–299.6
2068311.5293–324.5294.2282.5–300.6
2069310.6292.2–323.6292.9282.4–300
2070312.7293–325.3292.9282.8–300.8
2071311.5292.1–323.9294.2282.8–301.5
2072313.3297.8–325.5294.9285.1–301.9
2073313.8298.6–327.2294.9285.5–302.2
2074311.4292.4–323.5293.9283.3–300.3
2075310.9291.5–324.5294.1283.2–300.6
2076314.2294.4–327.7294.9284.6–302
2077315.1295.6–326.8295.3284.3–301.9
2078314.9296.3–327.1294.4285–302
2079313292.8–326.8294.8283.7–301.8
2080311.9294.7–325.4295.1283.4–302.8
2081313.5295.5–325.6295.1284.8–302.6
2082315296.8–327.1295.1284.9–301.3
2083315.7295.3–328.7295.4284.5–304.6
2084316.6298.5–327.9296285.1–304.4
2085317.4299.3–329.8296.6285–305
2086315.8294–328295.6284.8–303.6
2087316.5297.9–328.5295.3284.1–303.4
2088315.6297.3–328.8295.9284.5–305.5
2089315296.6–327.9295.6285–304.5
2090316298.9–330.3295.7285.8–304.6
2091317298.1–330.6297285–304.9
2092317.6298.7–330.7296.8286–305.7
2093316.3297.5–328.6296.3285.6–305.3
2094316.4300.2–327.5296.4285.8–305
2095319299.8–330.7297.9285.6–304.9
2096317.7299.5–330.8296285.9–307.5
2097316.9297.8–329296.5284.8–303.4
2098318.6299.9–331.9296.6286–307.3
2099318.1300–330.2297284.6–305.4
2100317.3298.4–330.3297.4286.5–305.2

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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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