巴西与菲律宾对比

巴西与菲律宾:热带夜

2014 年热带夜:巴西为 282 夜,菲律宾为 331.5 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 49.5 夜,是巴西的 1.18 倍。

每年夜数 · CMIP6

巴西与菲律宾:热带夜2014 年热带夜:巴西为 282 夜,菲律宾为 331.5 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 49.5 夜,是巴西的 1.18 倍。
巴西菲律宾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,菲律宾的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年巴西为 317.3 夜,菲律宾为 351.3 夜。

逐年数据

每年夜数 · CMIP6

年份巴西菲律宾
2014282331.5
2013282.5330.9
2012283.6331.1
2011281.8329.8
2010280.2330.6
2009279.2329
2008277.8327.5
2007275.9327.8
2006275.4328.7
2005275.8329.7
2004278.5329.4
2003276.7327.1
2002276.2328.9
2001277.7327.8
2000273.3326.8
1999271327.5
1998273.6326.5
1997270.9325.4
1996264.7324.6
1995263.8324.2
1994263.6321.5
1993258.3319.5
1992252.8318.4
1991269.7324.1
1990272.5323.5
1989267.1322.5
1988264.7324
1987265.9323.1
1986265.7322.1
1985260.6321.4
1984261.1321.7
1983255.9319.4
1982264.8320.5
1981265.3320.4
1980262322.7
1979261.2321.2
1978259.7320.6
1977261.8319.8
1976258.4319.6
1975252.4319.6
1974258.7320
1973261319.4
1972258.1318.9
1971256.5318.8
1970254.5319
1969255.1318.7
1968254.9317.2
1967250.3317.4
1966254.5318.8
1965250.8317.2
1964246.2314.9
1963241.9317.2
1962257.9318.6
1961258.2319.3
1960260.3318.6
1959255.7320.5
1958258.1321.8
1957256.6319.4
1956251.2320
1955257.2319.3
1954258317.7
1953255.2320
1952255.8319
1951256.3319.8
1950254.4320.4
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份巴西菲律宾
2015284257.6–299.5333319.8–339.5
2016281.5261.4–296.3334.2322.8–340.7
2017284.1263.2–297.8333.4319.7–339.8
2018283.4263.1–298.8333.2320.1–340.1
2019283.7262.9–302.4334.1323.4–341.2
2020286.3264.2–303.6334.6322.6–341.8
2021287.9266.9–302.3335.6323.3–341.1
2022289.6270.7–303.9335.7323.3–342.1
2023287.3270.5–303336.7324.8–343.2
2024291.5268.2–304.6337.2325.7–343.9
2025289.6269.1–304.8336.3326.2–342.8
2026289.7266.2–305.1336.5322.9–343
2027289.5269.1–303.7336.2325.7–342.3
2028291.2271.9–306337.1325.5–343.8
2029295.5276.3–309.6338.1327.2–344.6
2030292.2269.1–306.9337.7326.2–344.4
2031295.3274–308.9337.1325.6–343.8
2032296.8280.1–310.9339.4329.5–346.1
2033295.4273.3–308.5339.7329.6–345.5
2034294.3273.5–311.8338.8328.8–345
2035295.2274.4–310.9338.6327.5–346.4
2036295.1278.2–307.8339.6327.8–346.9
2037299.9283.7–311.3339.8329.1–345.5
2038299.6283.5–312.1341.9330.7–347.7
2039296.9279.9–311341.2330.4–346.9
2040298.5279.4–311.9340.4328.1–347.6
2041301.4282.2–314.1341.1329.1–346.7
2042300.6277.8–314.7342331.4–347.7
2043298.2279.8–312.7341.3329–348.1
2044300.3281.2–315.6342.8329.9–349.8
2045299.9279.7–313.1343.4333.8–348.7
2046302.8285.8–316.6342.7330.2–348.7
2047303.3285–316.4343.2331.7–350.6
2048304.4287.3–317.3343.3332.7–350.6
2049305.4288.4–318.5343.2332.5–349.5
2050303.9283.9–316.2344.3332.6–349.9
2051305.7287.5–317.5344.4334.9–350.8
2052305.9290.6–318.8344.1333.5–350.9
2053305.3285.9–317.5344.3333.6–350.3
2054306.1288.4–319.3343.4332–349.9
2055306.4290.8–319.8344.3334.4–350.5
2056306.7288.3–321.1345334.6–352.6
2057306.4287.6–321.1345.5335.1–351.5
2058309291–321.4345.8334.3–351.3
2059310.4290.7–322.8345.5333.7–351.6
2060311.6294.4–325.1346.8335.5–353.5
2061307.5290.3–321.2345.9335–351.8
2062309291.5–322.8346335.2–353.5
2063310.8290.6–322.8346.6336.2–352.8
2064309.6290.2–321.1346.9335.3–353
2065311.1291.6–323.1346.1335.9–351.9
2066312.2294.2–324.2346.5335.4–352.4
2067310.9291.5–323.3346.1335.4–352
2068311.5293–324.5347.1335.1–354.1
2069310.6292.2–323.6347333.8–353.6
2070312.7293–325.3346.7336.1–352.7
2071311.5292.1–323.9347.6336.2–353.9
2072313.3297.8–325.5347334.4–353.8
2073313.8298.6–327.2348.4336.7–355
2074311.4292.4–323.5348.6337–354.9
2075310.9291.5–324.5347.9337.2–354
2076314.2294.4–327.7348.4337–355.1
2077315.1295.6–326.8348.7337–354.8
2078314.9296.3–327.1348.4338.2–354.7
2079313292.8–326.8348.8337.6–354.7
2080311.9294.7–325.4349.1338.4–355.9
2081313.5295.5–325.6348.8336.9–355.1
2082315296.8–327.1349.6338–354.9
2083315.7295.3–328.7349.9337.9–356.1
2084316.6298.5–327.9349.5336.7–356.4
2085317.4299.3–329.8349.1338.2–355.4
2086315.8294–328349.4337.5–354.9
2087316.5297.9–328.5349.7338.7–356
2088315.6297.3–328.8349.9338.9–356.1
2089315296.6–327.9350.2339.8–355.2
2090316298.9–330.3350.1339.7–355.9
2091317298.1–330.6349.5339.5–356.3
2092317.6298.7–330.7350.5339.3–356.1
2093316.3297.5–328.6350.4337.9–356.5
2094316.4300.2–327.5350.5338.4–355.9
2095319299.8–330.7350.5338.3–355.7
2096317.7299.5–330.8351.1339–358
2097316.9297.8–329350.2339.3–355.6
2098318.6299.9–331.9350.3337.4–355.2
2099318.1300–330.2350.6339.3–356.4
2100317.3298.4–330.3351.3340.2–356.3

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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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