墨西哥与尼日利亚对比

墨西哥与尼日利亚:热带夜

2014 年热带夜:墨西哥为 103.7 夜,尼日利亚为 303.9 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 200.2 夜,是墨西哥的 2.93 倍。

每年夜数 · CMIP6

墨西哥与尼日利亚:热带夜2014 年热带夜:墨西哥为 103.7 夜,尼日利亚为 303.9 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 200.2 夜,是墨西哥的 2.93 倍。
墨西哥尼日利亚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,尼日利亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年墨西哥为 142.8 夜,尼日利亚为 332.3 夜。

逐年数据

每年夜数 · CMIP6

年份墨西哥尼日利亚
2014103.7303.9
2013103.9299.5
2012102.8304.4
2011102.9301.5
2010101.5301.4
2009101.8297.8
2008100.1297.4
200799.1298
200699.8297.2
200599.5295.4
200499.4294.1
200398.3298.4
200299.1295.2
200198.7299.1
200097.9293.9
199996.6290.3
199895.8289.9
199795.9292.5
199693.8290
199592.7289.1
199490.7287.4
199389284
199288.5281.6
199193.4289.1
199094.9290.6
198993287.2
198892.1288
198792285.6
198690.2289.1
198590284.2
198488284.4
198386.7281.9
198288.7283.5
198191.5286.4
198090.1282.8
197990.8283
197889282.8
197789285.9
197689.1281.7
197586.8280.4
197487.9280.7
197388.6284.3
197287.7284.1
197186.8279.3
197086.1282
196987.5278.7
196887.1279.6
196786.7278.1
196686.4279.4
196584.9279
196484.7276.8
196387.1275.1
196288284.1
196189.5281.9
196089.7285.9
195989.6282.8
195889.1281.4
195789283.3
195688.5280.8
195588.2280.4
195488.4284.1
195388.6280.4
195287.8280.8
195189.4284.2
195088.1279.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份墨西哥尼日利亚
2015106.192.9–118.4301.7282.9–317.3
2016107.695–120301.4280.8–312.5
2017108.696.3–119.7302.5284.3–316.3
201810997.1–120.4302.2286.8–316.5
2019110.396.4–123300.1281.2–318
2020109.696.8–121.8303283.7–318.5
2021111.296.9–124.1305.1287.1–318.4
2022109.796–121.7305.1286–319.5
2023111.898.6–125.3305286.4–318.9
2024112.298.2–126.2310.6295.1–321.5
202511298.8–125.8307.5292–319.4
2026113.999.5–126.4306.9286.1–322.9
2027112.999.5–128.3307.4288–321.7
2028115.2101.9–127.9310.7293.4–322.6
2029115.6101.9–127.9311.4293.3–324.4
2030115.9101.7–128.4310.6294.1–322.5
2031116.1100.9–129.9312.2295–324.8
2032116.1102.5–129.1310290–323.5
2033117.5102.5–131.1313292.9–327
2034117.2104.1–130.3311.7294.8–325.1
2035116.4103.1–130.3314.5296.7–327.7
2036117.8105.1–131313.5294.1–326.5
2037118.6104.3–131.7315.6297.9–327.1
2038121107.5–133.4316.9301.2–329.6
2039121.3107–135.6315.4299.4–328.2
2040121.9108.1–135.1315.6297.9–327.4
2041121.3105.3–134.6316.8300.6–330.2
2042122.7107.7–137.1316.3300.3–330.3
2043122.4108.1–137.5316298.4–326
2044121.9108–135.6317.9299.5–329.6
2045123.1108.8–139.2316.6300.5–330.4
2046123.8109.9–139.4317.8302.2–330.7
2047125.6111.9–139.4319.8301.5–333
2048126.3113–140.3320.1302.4–331.7
2049127111.2–140.8320.7305.3–331.7
2050128.1112.6–142.5320.9304–335
2051127.2113.4–140.8321304.1–334.2
2052126.2112.5–141.1320.9303.9–333.5
2053128.4111.5–142.7320.9303.3–334.1
2054128.1113.1–142.3324.5304.5–338.2
2055129114.4–144.7322.2308.4–333.7
2056129.5114.3–143.8324.8305.8–336.3
2057130.3113.5–145.9326310.8–337.3
2058128.8114.1–144.5322.9307.4–334.2
2059129.5114.5–144.5325.7308.9–339
2060131.4115.5–146.5323.8307.5–337
2061131.3118.4–146.8324.4307.1–338.2
2062130.8115.1–146.3325.7308–339.3
2063131.2115.6–147.9326.6308.7–337
2064132.2116.5–147.8326.2311–339.8
2065133.1115.8–148.6327.6313.5–339.4
2066133.3117.2–149.4328.4311.3–339.6
2067133.3117–150.3326308.4–340.5
2068134.6117.4–150.5329.3311.2–342.9
2069134.4117.8–150.9326.6309.9–338.1
2070134.2116.7–151.8327.4312.6–340.7
2071136.3120.8–152.7329.1313–341.1
2072137.2119.9–153.1330.3315.9–342.1
2073136.1119.1–153.6326.3309.5–341
2074136119.7–152.2326.7311.4–341.4
2075135.2118.5–151.8328.9314.5–341.8
2076136.3117.4–154.7329.6313.4–342
2077136.8119.6–152.8332.5314.4–343.3
2078137.1118.3–154.2329.8312.8–342.1
2079138.1121.3–157.1329.6313.8–340.6
2080137.6120.5–157.9331.7314.1–344.8
2081137.8120.7–154.7329.3311.6–343.7
2082138.7121.6–155.2329.3313.3–341.4
2083139.2119.3–158.8330.4315–342.2
2084140.3123.4–157.5330.5311.9–344.2
2085139.2120.9–157.2332.7316.6–343.6
2086139.8121–157.8331.9316.3–343.6
2087139.5121.5–157.4330.7314.9–342.4
2088141121.8–159.9331.7313.2–342.7
2089140.4121.7–158.9331.1318.3–341.9
2090141.2123–160.7332.4312.7–343.9
2091141.8123–161.6333.3311–345.8
2092141.3122.5–159.3332.7313.8–345.7
2093141.4124.3–161334.2318.6–344.9
2094142123.3–159.6334.2317.3–345.6
2095143.5124–160.7333.8319.3–346.3
2096142.3125–161.3332.5317.4–346.7
2097141.2123.2–160331.8312.6–344.6
2098142.2122.5–162332.3316–343.7
2099141.8122.4–160.7333316.9–344.2
2100142.8124.3–160.8332.3318.5–345

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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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