墨西哥与秘鲁对比

墨西哥与秘鲁:热带夜

2014 年热带夜:墨西哥为 103.7 夜,秘鲁为 164.5 夜(CMIP6 气候模型中位数模拟)。 2014 年秘鲁的数值较高,高出 60.8 夜,是墨西哥的 1.59 倍。

每年夜数 · CMIP6

墨西哥与秘鲁:热带夜2014 年热带夜:墨西哥为 103.7 夜,秘鲁为 164.5 夜(CMIP6 气候模型中位数模拟)。 2014 年秘鲁的数值较高,高出 60.8 夜,是墨西哥的 1.59 倍。
墨西哥秘鲁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,秘鲁的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年墨西哥为 142.8 夜,秘鲁为 192.3 夜。

逐年数据

每年夜数 · CMIP6

年份墨西哥秘鲁
2014103.7164.5
2013103.9163.1
2012102.8164.8
2011102.9164.3
2010101.5163.3
2009101.8162.3
2008100.1162
200799.1159.8
200699.8159.1
200599.5159.3
200499.4161.8
200398.3160.5
200299.1159.9
200198.7160.7
200097.9158
199996.6155.7
199895.8157.4
199795.9156.1
199693.8152.2
199592.7152.1
199490.7150.8
199389148.5
199288.5144
199193.4156
199094.9158.3
198993153.2
198892.1151.2
198792152
198690.2153.4
198590149
198488148.3
198386.7145.4
198288.7151.4
198191.5153.1
198090.1150.9
197990.8150.5
197889149.1
197789150.3
197689.1147.5
197586.8142.1
197487.9148.6
197388.6151.5
197287.7147.6
197186.8145.7
197086.1145.6
196987.5147
196887.1146
196786.7142.3
196686.4145.7
196584.9143.3
196484.7141.6
196387.1135.9
196288148.9
196189.5146.5
196089.7149.8
195989.6146.1
195889.1149.1
195789148.7
195688.5144
195588.2148.3
195488.4148.7
195388.6148.2
195287.8148.1
195189.4147.2
195088.1147.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份墨西哥秘鲁
2015106.192.9–118.4164.3148.5–174.9
2016107.695–120163.4149.8–171.5
2017108.696.3–119.7165.5155–175.2
201810997.1–120.4165152.9–176.6
2019110.396.4–123163.7151–176.8
2020109.696.8–121.8165.3151.6–176.2
2021111.296.9–124.1167.6154.7–177.3
2022109.796–121.7169.5156.6–179.2
2023111.898.6–125.3167.1156.3–178.4
2024112.298.2–126.2170.6157.3–180.2
202511298.8–125.8168.6155–179.9
2026113.999.5–126.4167.8153.3–179.7
2027112.999.5–128.3168.3155.2–178.8
2028115.2101.9–127.9169.8158.3–179.9
2029115.6101.9–127.9174162.8–181.7
2030115.9101.7–128.4168.1153.2–180.6
2031116.1100.9–129.9172.5156.2–183.7
2032116.1102.5–129.1173.2162.7–184.7
2033117.5102.5–131.1172156.5–181
2034117.2104.1–130.3171.6158.7–185.6
2035116.4103.1–130.3172159.3–184.1
2036117.8105.1–131172.5160.7–183.2
2037118.6104.3–131.7175.6166.3–185.3
2038121107.5–133.4175.8164.6–184.9
2039121.3107–135.6174.1162.7–185
2040121.9108.1–135.1175.4163.9–187
2041121.3105.3–134.6176.5165.3–186.1
2042122.7107.7–137.1176.3161.9–189.7
2043122.4108.1–137.5174.8163.7–185.3
2044121.9108–135.6175.3161.9–188.2
2045123.1108.8–139.2177.3165.5–186.9
2046123.8109.9–139.4180.3167.4–189.9
2047125.6111.9–139.4178.6167.5–189
2048126.3113–140.3181.2168.2–192.2
2049127111.2–140.8180.4168.1–189.8
2050128.1112.6–142.5178.6166.4–190.8
2051127.2113.4–140.8180.3168.5–190.6
2052126.2112.5–141.1181.5170.8–191.7
2053128.4111.5–142.7179.5168.3–190.8
2054128.1113.1–142.3180.1167.3–193.9
2055129114.4–144.7181.7171–194.8
2056129.5114.3–143.8182.2170–193
2057130.3113.5–145.9181.6168.7–193
2058128.8114.1–144.5183.1169.4–195.5
2059129.5114.5–144.5184.6169.7–195.3
2060131.4115.5–146.5185.6171.1–197.1
2061131.3118.4–146.8182.7169.9–195.8
2062130.8115.1–146.3184.3168.7–196.9
2063131.2115.6–147.9184.6170.8–196.9
2064132.2116.5–147.8184.4170.1–194.8
2065133.1115.8–148.6186.3173.3–196.9
2066133.3117.2–149.4185.6172.3–197.4
2067133.3117–150.3184.3169.4–198.2
2068134.6117.4–150.5186.1172.1–198.3
2069134.4117.8–150.9184.9169–198.3
2070134.2116.7–151.8185.4171.8–198.4
2071136.3120.8–152.7187.3173.3–198.7
2072137.2119.9–153.1188.1174.9–199.8
2073136.1119.1–153.6187.6175.9–202.1
2074136119.7–152.2186.4169.5–198.9
2075135.2118.5–151.8186.4170.6–198.3
2076136.3117.4–154.7188.8174.2–201
2077136.8119.6–152.8189.1174.7–201.8
2078137.1118.3–154.2188.4175.6–202.3
2079138.1121.3–157.1188172–199.7
2080137.6120.5–157.9189.1172.8–201.7
2081137.8120.7–154.7188.4173.6–201.8
2082138.7121.6–155.2188.8174.8–199.7
2083139.2119.3–158.8189.9175.7–204.7
2084140.3123.4–157.5190.7176.3–204.4
2085139.2120.9–157.2192176.2–204.6
2086139.8121–157.8189.1175.4–204
2087139.5121.5–157.4189.1175.9–203.6
2088141121.8–159.9191.1174.7–204.9
2089140.4121.7–158.9190.1174.3–203
2090141.2123–160.7190.4177–206.2
2091141.8123–161.6192.6174.4–205.9
2092141.3122.5–159.3192.6176.6–204.7
2093141.4124.3–161190.6176–206
2094142123.3–159.6192.3178.2–204.1
2095143.5124–160.7193.4176.5–207.3
2096142.3125–161.3191.4176.2–207.6
2097141.2123.2–160190.7174.9–202.2
2098142.2122.5–162192.9177.8–208.9
2099141.8122.4–160.7191.5176.8–205
2100142.8124.3–160.8192.3176.6–205.6

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

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