巴西与埃及对比

巴西与埃及:热带夜

2014 年热带夜:巴西为 282 夜,埃及为 145 夜(CMIP6 气候模型中位数模拟)。 2014 年巴西的数值较高,高出 137 夜,是埃及的 1.94 倍。

每年夜数 · CMIP6

巴西与埃及:热带夜2014 年热带夜:巴西为 282 夜,埃及为 145 夜(CMIP6 气候模型中位数模拟)。 2014 年巴西的数值较高,高出 137 夜,是埃及的 1.94 倍。
巴西埃及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,埃及为 183.4 夜。

逐年数据

每年夜数 · CMIP6

年份巴西埃及
2014282145
2013282.5145
2012283.6145.1
2011281.8144.7
2010280.2143.5
2009279.2140.2
2008277.8142.6
2007275.9140.5
2006275.4139.6
2005275.8140
2004278.5141.3
2003276.7141
2002276.2137.7
2001277.7139
2000273.3134.8
1999271135.5
1998273.6133
1997270.9134
1996264.7132.1
1995263.8130.2
1994263.6129.8
1993258.3123.6
1992252.8126.1
1991269.7129.7
1990272.5129.7
1989267.1126
1988264.7124.3
1987265.9125.8
1986265.7128.9
1985260.6125.7
1984261.1119.4
1983255.9119.4
1982264.8120.7
1981265.3122.6
1980262124.9
1979261.2119.2
1978259.7122.6
1977261.8121.3
1976258.4123.2
1975252.4121.9
1974258.7123.1
1973261123.5
1972258.1120.1
1971256.5120.7
1970254.5119.7
1969255.1118.3
1968254.9119.4
1967250.3116.2
1966254.5116.1
1965250.8112.9
1964246.2116.4
1963241.9120.2
1962257.9118.9
1961258.2118.7
1960260.3123.6
1959255.7123.2
1958258.1120.7
1957256.6122.4
1956251.2122.7
1955257.2119.4
1954258120.8
1953255.2121.3
1952255.8120.7
1951256.3121.2
1950254.4118.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份巴西埃及
2015284257.6–299.5149.6131.4–164.2
2016281.5261.4–296.3147.7133.5–160.2
2017284.1263.2–297.8150.8134.8–163.2
2018283.4263.1–298.8147.4133.4–165.6
2019283.7262.9–302.4149.6132.7–164
2020286.3264.2–303.6150.8136.4–164.7
2021287.9266.9–302.3152.1137.8–168.1
2022289.6270.7–303.9154138.1–170.6
2023287.3270.5–303154.4139–168.4
2024291.5268.2–304.6155.8141.7–168.5
2025289.6269.1–304.8154.5139.6–168.1
2026289.7266.2–305.1155.1144.5–165.9
2027289.5269.1–303.7154.2139.5–166.3
2028291.2271.9–306154.5141.8–168.6
2029295.5276.3–309.6156.3139.9–169.5
2030292.2269.1–306.9156.3143.1–169.1
2031295.3274–308.9155.5141.5–171.2
2032296.8280.1–310.9158.3144.6–170.4
2033295.4273.3–308.5159.9143.8–172.9
2034294.3273.5–311.8159.8144.9–173.2
2035295.2274.4–310.9163.5146.6–175.8
2036295.1278.2–307.8156.2143.7–170.6
2037299.9283.7–311.3158.8142.9–173.8
2038299.6283.5–312.1164.9146.1–177.8
2039296.9279.9–311161.8146.1–180.1
2040298.5279.4–311.9161.6147.9–176.5
2041301.4282.2–314.1163.7149.4–177.3
2042300.6277.8–314.7166.5149.7–180.6
2043298.2279.8–312.7163.6150.3–176.8
2044300.3281.2–315.6162.2147–178
2045299.9279.7–313.1167.2152.5–181
2046302.8285.8–316.6166149–181.1
2047303.3285–316.4165.9151.8–181.5
2048304.4287.3–317.3167.2154.5–180.1
2049305.4288.4–318.5165.3148.7–177.9
2050303.9283.9–316.2170152.8–183
2051305.7287.5–317.5165.6152.7–179.5
2052305.9290.6–318.8167.3156–180.2
2053305.3285.9–317.5170.1153.6–183.8
2054306.1288.4–319.3169153.3–183
2055306.4290.8–319.8170.5153.5–183.3
2056306.7288.3–321.1168.3151.2–181.4
2057306.4287.6–321.1166.8150.7–185.3
2058309291–321.4171.8154.2–188.2
2059310.4290.7–322.8173.3157.8–188.6
2060311.6294.4–325.1170.5154.8–189.3
2061307.5290.3–321.2170.3155.1–184.6
2062309291.5–322.8172.1155.2–185.7
2063310.8290.6–322.8169.7152.8–182.6
2064309.6290.2–321.1172.3155.9–187.2
2065311.1291.6–323.1173.3159.7–189.9
2066312.2294.2–324.2170155–187.7
2067310.9291.5–323.3176.2161.5–190
2068311.5293–324.5174.6157.3–193.1
2069310.6292.2–323.6175.8158.8–191.7
2070312.7293–325.3173.3158.3–191.7
2071311.5292.1–323.9176.8158.1–194.7
2072313.3297.8–325.5177.6160.8–192.1
2073313.8298.6–327.2176159.2–189.3
2074311.4292.4–323.5171.9156.5–194.1
2075310.9291.5–324.5171.8157–191.9
2076314.2294.4–327.7177161–194.6
2077315.1295.6–326.8179.7157–194.1
2078314.9296.3–327.1178.4161–195
2079313292.8–326.8178.2160.2–193.7
2080311.9294.7–325.4178.5163–193.3
2081313.5295.5–325.6177.2160–192.8
2082315296.8–327.1178.8164.5–193.3
2083315.7295.3–328.7180.6164.4–195.7
2084316.6298.5–327.9181.4162.4–197.8
2085317.4299.3–329.8178.8163–196.7
2086315.8294–328181.9166.6–198.8
2087316.5297.9–328.5178156.4–194.3
2088315.6297.3–328.8177.8163.5–196
2089315296.6–327.9180.9163.5–198.9
2090316298.9–330.3179.9162.4–197.8
2091317298.1–330.6184.2165.1–198.9
2092317.6298.7–330.7180.3162.9–196.3
2093316.3297.5–328.6181.1166.1–198.2
2094316.4300.2–327.5185.4168–198.9
2095319299.8–330.7181.9165.5–197.3
2096317.7299.5–330.8183.1163.5–200.3
2097316.9297.8–329181.5165.4–198.9
2098318.6299.9–331.9181.7162.1–198.8
2099318.1300–330.2179.9164.2–197.8
2100317.3298.4–330.3183.4162.9–198.1

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

巴西与埃及对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境