巴西与苏丹对比

巴西与苏丹：热带夜

2014 年热带夜：巴西为 282 夜，苏丹为 242.4 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 39.6 夜，是苏丹的 1.16 倍。

在地图上查看其变化

每年夜数 · CMIP6

巴西与苏丹：热带夜2014 年热带夜：巴西为 282 夜，苏丹为 242.4 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 39.6 夜，是苏丹的 1.16 倍。
巴西苏丹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，苏丹为 278.6 夜。

逐年数据

每年夜数 · CMIP6

年份巴西苏丹
2014282242.4
2013282.5240
2012283.6242
2011281.8242.2
2010280.2240.6
2009279.2236.5
2008277.8237.1
2007275.9236
2006275.4235.3
2005275.8233.1
2004278.5233.5
2003276.7235.6
2002276.2234.7
2001277.7235.4
2000273.3230.5
1999271232.1
1998273.6230.2
1997270.9231.1
1996264.7227.3
1995263.8227.8
1994263.6225.3
1993258.3219.1
1992252.8217.8
1991269.7227.3
1990272.5227.5
1989267.1223
1988264.7223.1
1987265.9224.4
1986265.7226.4
1985260.6222.1
1984261.1220.7
1983255.9217
1982264.8216.3
1981265.3223.2
1980262220
1979261.2218.4
1978259.7218.5
1977261.8219.3
1976258.4220.1
1975252.4215.7
1974258.7217.5
1973261220
1972258.1217.9
1971256.5215.5
1970254.5217
1969255.1213.1
1968254.9214
1967250.3210.3
1966254.5213.3
1965250.8213.4
1964246.2213.2
1963241.9210.1
1962257.9217
1961258.2216.9
1960260.3221.3
1959255.7217.8
1958258.1216.2
1957256.6218.9
1956251.2217.2
1955257.2216.6
1954258218.9
1953255.2215.1
1952255.8216.4
1951256.3218.5
1950254.4214.1
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份巴西苏丹
2015284257.6–299.5242.3225.3–258.3
2016281.5261.4–296.3241.4223.3–254.1
2017284.1263.2–297.8243.2223–259.1
2018283.4263.1–298.8242.3226.4–258.5
2019283.7262.9–302.4243.1221.7–260.4
2020286.3264.2–303.6244.9225.9–261.7
2021287.9266.9–302.3245.6229.1–261.5
2022289.6270.7–303.9249230.9–262.3
2023287.3270.5–303247.1226.8–263.1
2024291.5268.2–304.6251.5232.8–266.1
2025289.6269.1–304.8250.7232.4–265.6
2026289.7266.2–305.1250230.8–266.6
2027289.5269.1–303.7248.8228.4–265.6
2028291.2271.9–306249232.2–263.1
2029295.5276.3–309.6251.4232.1–266
2030292.2269.1–306.9252235.4–266.7
2031295.3274–308.9253.3234.4–268.9
2032296.8280.1–310.9250.4232.3–266.6
2033295.4273.3–308.5254.4235.3–269.4
2034294.3273.5–311.8254.2234.5–269.9
2035295.2274.4–310.9258.3240.2–273.6
2036295.1278.2–307.8252.8235.6–268.6
2037299.9283.7–311.3256.7238.6–271.8
2038299.6283.5–312.1258.7244.8–272.1
2039296.9279.9–311259.5241.2–272.5
2040298.5279.4–311.9256.4236.7–272.3
2041301.4282.2–314.1259.1241.2–274.5
2042300.6277.8–314.7258.7242–274.7
2043298.2279.8–312.7258.1240.3–272.6
2044300.3281.2–315.6257.3238.6–274.7
2045299.9279.7–313.1258.8243.1–276.2
2046302.8285.8–316.6261.1241.7–277.6
2047303.3285–316.4261.4244.6–278.4
2048304.4287.3–317.3260.4243.4–279.5
2049305.4288.4–318.5261.9242.6–275.9
2050303.9283.9–316.2263.5245.4–279
2051305.7287.5–317.5263.6246.6–278.8
2052305.9290.6–318.8263.8248.7–278.3
2053305.3285.9–317.5262.8242.4–279.2
2054306.1288.4–319.3266.3246.6–282.9
2055306.4290.8–319.8265.6245.9–281.4
2056306.7288.3–321.1264.1242.6–281.5
2057306.4287.6–321.1266.4247.6–283.4
2058309291–321.4265.2247.4–280.3
2059310.4290.7–322.8268.4249.6–285.4
2060311.6294.4–325.1263.6246.7–284.4
2061307.5290.3–321.2266.9250.1–281.9
2062309291.5–322.8266.4248.5–285
2063310.8290.6–322.8267.1246.9–283.4
2064309.6290.2–321.1269250.7–284.7
2065311.1291.6–323.1269.8253.9–285.6
2066312.2294.2–324.2271.4251.9–287.3
2067310.9291.5–323.3270.9250–288.4
2068311.5293–324.5271.9251.7–289.8
2069310.6292.2–323.6268251.1–286.2
2070312.7293–325.3269252.3–285.8
2071311.5292.1–323.9275.5254.1–290.4
2072313.3297.8–325.5273.3254.2–289.4
2073313.8298.6–327.2271.9250.7–287.6
2074311.4292.4–323.5270.9249–290.1
2075310.9291.5–324.5273.1254–291.9
2076314.2294.4–327.7272.7255.2–290.9
2077315.1295.6–326.8274.6255.2–292.7
2078314.9296.3–327.1274.3255.6–291.2
2079313292.8–326.8272255.2–288.5
2080311.9294.7–325.4276.6256–292.2
2081313.5295.5–325.6275.1254.1–294.8
2082315296.8–327.1272.9258.7–288.6
2083315.7295.3–328.7276.5258–291.7
2084316.6298.5–327.9275.4253–294.9
2085317.4299.3–329.8275.3258.6–291.6
2086315.8294–328276.4256.9–296.6
2087316.5297.9–328.5273.5253.1–293.3
2088315.6297.3–328.8273.6253.7–293.6
2089315296.6–327.9276.5256.6–293.4
2090316298.9–330.3276.6256.4–294.6
2091317298.1–330.6277.4256.4–296.6
2092317.6298.7–330.7274.6254.3–294.9
2093316.3297.5–328.6278261.9–292.1
2094316.4300.2–327.5280.3262.2–294
2095319299.8–330.7277.5262.6–294
2096317.7299.5–330.8279.7258.7–297
2097316.9297.8–329276.3254.1–297.6
2098318.6299.9–331.9277.7258.2–295.5
2099318.1300–330.2276.8257.2–296.2
2100317.3298.4–330.3278.6259–294.3

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

巴西与苏丹对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境