巴西与肯尼亚对比

巴西与肯尼亚：热带夜

2014 年热带夜：巴西为 282 夜，肯尼亚为 245.6 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 36.4 夜，是肯尼亚的 1.15 倍。

在地图上查看其变化

每年夜数 · CMIP6

巴西与肯尼亚：热带夜2014 年热带夜：巴西为 282 夜，肯尼亚为 245.6 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 36.4 夜，是肯尼亚的 1.15 倍。
巴西肯尼亚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 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，肯尼亚为 277 夜。

逐年数据

每年夜数 · CMIP6

年份巴西肯尼亚
2014282245.6
2013282.5245.4
2012283.6244.7
2011281.8245
2010280.2243.8
2009279.2242.3
2008277.8240.3
2007275.9240.9
2006275.4241.5
2005275.8241.2
2004278.5241.8
2003276.7240.8
2002276.2240.7
2001277.7242
2000273.3239.5
1999271237.8
1998273.6239.2
1997270.9236.9
1996264.7234.2
1995263.8232.9
1994263.6231.9
1993258.3227.4
1992252.8224.8
1991269.7233.8
1990272.5236.4
1989267.1234.5
1988264.7233.1
1987265.9232.6
1986265.7233
1985260.6228.7
1984261.1230.2
1983255.9226.7
1982264.8230.6
1981265.3232.9
1980262231.3
1979261.2229.6
1978259.7228.7
1977261.8229.9
1976258.4227.8
1975252.4225.9
1974258.7230.5
1973261230.4
1972258.1228.7
1971256.5226
1970254.5226.3
1969255.1225.9
1968254.9222.9
1967250.3224
1966254.5225.2
1965250.8224.2
1964246.2221.8
1963241.9220.2
1962257.9227.2
1961258.2228.3
1960260.3228.8
1959255.7228.3
1958258.1229.1
1957256.6228
1956251.2225.5
1955257.2228.7
1954258227.4
1953255.2227.6
1952255.8228.5
1951256.3228.3
1950254.4226.3
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份巴西肯尼亚
2015284257.6–299.5246.9232.3–256.1
2016281.5261.4–296.3244.9230.1–255
2017284.1263.2–297.8248.1233.1–257.7
2018283.4263.1–298.8248.7237–257.4
2019283.7262.9–302.4247.1234.8–256.7
2020286.3264.2–303.6248.6233.2–259.2
2021287.9266.9–302.3249.5236.3–258.1
2022289.6270.7–303.9251.5239.7–259.5
2023287.3270.5–303251.8239–260.8
2024291.5268.2–304.6254.2239.1–263
2025289.6269.1–304.8251.5238.1–261.8
2026289.7266.2–305.1252.2237.2–263.3
2027289.5269.1–303.7252.8238.4–263.8
2028291.2271.9–306254.9241.9–264.2
2029295.5276.3–309.6256243.4–264.6
2030292.2269.1–306.9253.6240.6–263.1
2031295.3274–308.9256244.7–264.4
2032296.8280.1–310.9257243.8–267.1
2033295.4273.3–308.5256241.8–265.9
2034294.3273.5–311.8256.2241.2–267.9
2035295.2274.4–310.9256.7243.3–266.7
2036295.1278.2–307.8256.2242.4–266.7
2037299.9283.7–311.3258.7245.9–268.4
2038299.6283.5–312.1260.3244.5–268.9
2039296.9279.9–311259244.4–268
2040298.5279.4–311.9258.3246.2–269.8
2041301.4282.2–314.1260.7244.8–271.2
2042300.6277.8–314.7260.3246.5–272.7
2043298.2279.8–312.7259246.6–270.5
2044300.3281.2–315.6261.2248.8–270.9
2045299.9279.7–313.1261.8248.7–272.9
2046302.8285.8–316.6264.8249.6–275.3
2047303.3285–316.4264.4249.8–275.3
2048304.4287.3–317.3264.2252.3–274.9
2049305.4288.4–318.5265.2252.8–275.6
2050303.9283.9–316.2263.9249.8–275.1
2051305.7287.5–317.5265.4252.1–275.1
2052305.9290.6–318.8266.3252.6–276.2
2053305.3285.9–317.5265.2251–275.4
2054306.1288.4–319.3265.2250.2–277.2
2055306.4290.8–319.8266.8251.6–277.6
2056306.7288.3–321.1266.2251.2–277.8
2057306.4287.6–321.1266.8253–278
2058309291–321.4266.7251.5–277.9
2059310.4290.7–322.8269.8254.7–280.5
2060311.6294.4–325.1271.1253.9–280.7
2061307.5290.3–321.2267.5253.9–281.7
2062309291.5–322.8268.1254–281.2
2063310.8290.6–322.8268.9255–280.1
2064309.6290.2–321.1270254.1–279.8
2065311.1291.6–323.1269.4255.8–282.3
2066312.2294.2–324.2270.6258.1–281
2067310.9291.5–323.3270.7256.1–283
2068311.5293–324.5270.2256–283
2069310.6292.2–323.6269.8256.1–283.3
2070312.7293–325.3270.1255.8–282.6
2071311.5292.1–323.9271.9257.9–284.4
2072313.3297.8–325.5273.5260.3–283.8
2073313.8298.6–327.2273.1259.9–285.4
2074311.4292.4–323.5271.9257.5–285.4
2075310.9291.5–324.5271.1256.5–284.7
2076314.2294.4–327.7274.1258.6–285.8
2077315.1295.6–326.8273.4259–286.6
2078314.9296.3–327.1273.1260–284.4
2079313292.8–326.8273.3258.7–286.6
2080311.9294.7–325.4275.5259.4–286.9
2081313.5295.5–325.6274.7259.8–285.6
2082315296.8–327.1274.8261.3–286.4
2083315.7295.3–328.7274259.6–289.3
2084316.6298.5–327.9276.8259–288.8
2085317.4299.3–329.8276.2261.5–289.1
2086315.8294–328275.1260–289.1
2087316.5297.9–328.5276.2260.3–288.5
2088315.6297.3–328.8276.8261.6–289.7
2089315296.6–327.9275.9260.3–288.8
2090316298.9–330.3275.3260.5–290.5
2091317298.1–330.6277.7260.4–290.9
2092317.6298.7–330.7276.2261.2–290.7
2093316.3297.5–328.6276.9262–290.1
2094316.4300.2–327.5277262.8–288.9
2095319299.8–330.7278.4262.3–290.4
2096317.7299.5–330.8277.6260.5–292
2097316.9297.8–329277261–290.2
2098318.6299.9–331.9277.6262.3–291.5
2099318.1300–330.2277.9260.8–292.4
2100317.3298.4–330.3277261.8–290.4

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

巴西与肯尼亚对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境