巴西与巴拉圭对比

巴西与巴拉圭：热带夜

2014 年热带夜：巴西为 282 夜，巴拉圭为 202.9 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 79.1 夜，是巴拉圭的 1.39 倍。

在地图上查看其变化

每年夜数 · CMIP6

巴西与巴拉圭：热带夜2014 年热带夜：巴西为 282 夜，巴拉圭为 202.9 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 79.1 夜，是巴拉圭的 1.39 倍。
巴西巴拉圭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，巴拉圭为 250.2 夜。

逐年数据

每年夜数 · CMIP6

年份巴西巴拉圭
2014282202.9
2013282.5197.2
2012283.6200.5
2011281.8198.1
2010280.2201.6
2009279.2200.4
2008277.8196.1
2007275.9186.1
2006275.4188.5
2005275.8198.3
2004278.5194.8
2003276.7189.8
2002276.2194.4
2001277.7191.4
2000273.3195.8
1999271188.8
1998273.6195.1
1997270.9190.7
1996264.7183.9
1995263.8182.1
1994263.6177.4
1993258.3180.8
1992252.8172.7
1991269.7183.7
1990272.5189.6
1989267.1185.4
1988264.7181.8
1987265.9179.7
1986265.7184.5
1985260.6176.9
1984261.1177.7
1983255.9180.1
1982264.8179.6
1981265.3185
1980262184.1
1979261.2185.9
1978259.7178.1
1977261.8179
1976258.4178.3
1975252.4174
1974258.7176.5
1973261176.4
1972258.1179.4
1971256.5173.8
1970254.5173.6
1969255.1171.7
1968254.9174.8
1967250.3169.8
1966254.5173
1965250.8168.3
1964246.2164.7
1963241.9164.3
1962257.9175.9
1961258.2176.1
1960260.3175.1
1959255.7176.2
1958258.1170.6
1957256.6176.3
1956251.2170.4
1955257.2176.1
1954258175.2
1953255.2175.6
1952255.8180.5
1951256.3174.9
1950254.4174.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份巴西巴拉圭
2015284257.6–299.5203.5180.7–228.9
2016281.5261.4–296.3202.2171.5–224.3
2017284.1263.2–297.8201.3180.6–222.8
2018283.4263.1–298.8196.9170.8–225.1
2019283.7262.9–302.4202.2175.2–227
2020286.3264.2–303.6204.2179.6–236.7
2021287.9266.9–302.3211186.7–234.8
2022289.6270.7–303.9211.3175.3–237.2
2023287.3270.5–303207.4184.7–225.6
2024291.5268.2–304.6213.3188.8–236.5
2025289.6269.1–304.8205.4186.1–232.5
2026289.7266.2–305.1209.4178.8–228.7
2027289.5269.1–303.7209185.2–237.4
2028291.2271.9–306210.8179.1–233.5
2029295.5276.3–309.6218.4188.8–243.2
2030292.2269.1–306.9214.3179.2–245.6
2031295.3274–308.9210184.3–238.2
2032296.8280.1–310.9218.4187.5–246
2033295.4273.3–308.5211.7186.3–234.1
2034294.3273.5–311.8216.7190.9–239.5
2035295.2274.4–310.9212.1185.1–244.7
2036295.1278.2–307.8216190.9–238.6
2037299.9283.7–311.3222.7201.4–242
2038299.6283.5–312.1212.9191.8–238.7
2039296.9279.9–311219.3196.4–243.2
2040298.5279.4–311.9221.8197.3–243.4
2041301.4282.2–314.1225.9200.7–245.5
2042300.6277.8–314.7218.4185.8–239.7
2043298.2279.8–312.7219.9194.4–247.3
2044300.3281.2–315.6222.9198.5–246.5
2045299.9279.7–313.1225.4201.2–249
2046302.8285.8–316.6222.3195–248.4
2047303.3285–316.4225.3203.5–250.5
2048304.4287.3–317.3233.4214.5–252.3
2049305.4288.4–318.5230.7205.1–253.8
2050303.9283.9–316.2224.3193.5–249
2051305.7287.5–317.5232.3210.5–252.7
2052305.9290.6–318.8232.8205.9–257.6
2053305.3285.9–317.5229.9205.2–255.9
2054306.1288.4–319.3227.4204.3–253.3
2055306.4290.8–319.8232.6202.1–255.1
2056306.7288.3–321.1232.5203.6–257.8
2057306.4287.6–321.1234.8211.3–255.1
2058309291–321.4232.9202–260.8
2059310.4290.7–322.8237.9217.3–255.2
2060311.6294.4–325.1234.2205.8–258.5
2061307.5290.3–321.2230.7207.6–258.3
2062309291.5–322.8234.6217.3–262.8
2063310.8290.6–322.8237.1211.2–255.7
2064309.6290.2–321.1234.6207–259.5
2065311.1291.6–323.1236.5216.7–260.5
2066312.2294.2–324.2237.2208.8–253.5
2067310.9291.5–323.3235.4214.5–254.3
2068311.5293–324.5235.6210.7–265.5
2069310.6292.2–323.6235.9207.8–265.8
2070312.7293–325.3242.2216.6–265.3
2071311.5292.1–323.9239.8204.9–260.7
2072313.3297.8–325.5239.9212.6–266.9
2073313.8298.6–327.2242.1214.2–262
2074311.4292.4–323.5242.1214.2–267.1
2075310.9291.5–324.5241.8219.2–259.7
2076314.2294.4–327.7243.8221.7–267.7
2077315.1295.6–326.8244.9208.1–264.7
2078314.9296.3–327.1245.9222–265.6
2079313292.8–326.8237.4218–266.2
2080311.9294.7–325.4243.2217.9–268.8
2081313.5295.5–325.6242.6221.4–259.8
2082315296.8–327.1244.9214.1–264.3
2083315.7295.3–328.7241.5212.1–266.3
2084316.6298.5–327.9244.6219.4–269.9
2085317.4299.3–329.8247.6216.5–271.8
2086315.8294–328249220.5–274.6
2087316.5297.9–328.5243.9217.8–265.9
2088315.6297.3–328.8249225.7–274.3
2089315296.6–327.9241.8216.4–271.4
2090316298.9–330.3249.4226.7–273.9
2091317298.1–330.6249.3225.7–271.9
2092317.6298.7–330.7248.4225.1–268.1
2093316.3297.5–328.6245.2217.9–268.1
2094316.4300.2–327.5243.2219–266.2
2095319299.8–330.7247.3217.5–268.2
2096317.7299.5–330.8245.1222.1–273.7
2097316.9297.8–329247.9221.8–271.9
2098318.6299.9–331.9251.3228.7–274.7
2099318.1300–330.2246.4221.2–271.2
2100317.3298.4–330.3250.2222.5–281.6

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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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