加纳与马里对比

加纳与马里:35 °C 以上天数

2014 年35 °C 以上天数:加纳为 71.6 天,马里为 205.3 天(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 133.8 天,是加纳的 2.87 倍。

每年天数 · CMIP6

加纳与马里:35 °C 以上天数2014 年35 °C 以上天数:加纳为 71.6 天,马里为 205.3 天(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 133.8 天,是加纳的 2.87 倍。
加纳马里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,马里的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年加纳为 138.2 天,马里为 250.4 天。

逐年数据

每年天数 · CMIP6

年份加纳马里
201471.6205.3
201371.3204.6
201268.2205.2
201167.9205
201067.4201.7
200964.1201.1
200862.6200.4
200763.3201.3
200661.4198.2
200563.7198.1
200465.8201.5
200363.1198.8
200259.8200.1
200166.5198.2
200064195.8
199959.3194.7
199859.1193.3
199759.9194.1
199652.9188.1
199555189.6
199454.2187
199348.4183.1
199245.7181.5
199157191.7
199059.4192.8
198953.8189.4
198857.9187.1
198756.1188.2
198656.8190.4
198553.2185.4
198455.4186.1
198353.6186.8
198255.3187.2
198157.3187
198054.8189
197955.5188.8
197853.3184.1
197754.6184.6
197651.6184.9
197551.3183
197450.3180
197353.8185.9
197251.3182.7
197151.8181.8
197049.4184.4
196953.8184.7
196848.6182.4
196750179.2
196649.6182.3
196548.3180.5
196441.4177.2
196349.7177.9
196253.4185.3
196155.2186.4
196053.7189.3
195955.6187.2
195855.9185.9
195753.6191.6
195650.7182.5
195552.4185.5
195454.6187.6
195353.7186.3
195252.9184.5
195155186
195050.4183
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份加纳马里
201571.153.8–91.4205.1181.6–226.2
201663.945.6–80.9202177.4–219.9
201768.550.1–89.6208.7184.8–230
201868.847.2–90.5203.5179–226.6
201971.251.3–91.2207.3177.3–229.3
202070.447.5–99205.3176.9–227.9
202172.353.9–89.2207.3189.4–228.8
202277.853–100.4212.7186.6–234.9
202374.950.1–94.2208.3186.1–232.4
202476.458.9–98.6216.7191.8–240.5
202573.458.6–97.1212.9190.9–233.9
202676.448.1–100.1214175.7–236
202782.348.1–101.3214.4187.3–235.9
202878.254.7–103.3217.9191.7–234.6
202982.160.9–106.2214193–233.5
203082.358.1–109.4215.1189.6–236.7
203183.460–104.8217.8194.8–239.2
203287.859.8–113.7215.6188.8–241.2
203385.457.8–111.6217.3191.2–240.5
203485.760.7–107.6215.5193.5–241
203583.752.3–112.8220.3192.4–241.1
203683.959.8–112.7217.1193.6–243.4
20379161.1–112.1224.3198.3–242.7
20389369.4–116.7222.3194.3–251
203990.768.6–112.3219.2196.6–247.4
204091.464.9–124.3223.3201–245.1
204198.373.9–119.7225.1204.4–245.5
204294.468.7–119.2226199.1–248.7
204389.969.9–115.4223.1202.4–244.4
204496.466.8–122.1226.3197.8–250.4
204597.672.5–126.7226.9202.5–248.2
2046103.372–126228.6199.3–250.6
2047107.173.1–126.4232.2203.4–255.4
2048102.273.2–129.3232.1208.4–251.3
2049101.778.4–130.3228.3206.3–249.9
205097.174.1–133.6227.9204.5–253.3
2051100.271.2–132.2225.8205–252.8
2052106.772.2–139.2233.4204.7–262.2
2053102.176.2–135.8228.5204.3–257.4
2054104.973–138.7231.7207.6–260.8
2055108.379.7–140.4235.2209.3–258.2
2056107.278.3–141.6236.4209–259.9
205711579.1–140.9238.9212.9–266.1
2058109.381.4–137.3232.2209.6–263.7
2059110.484.2–149.1238.6213–263.1
2060112.979.5–150235.3213.6–260.9
206111581.5–147239.6210.7–268.2
2062110.282.1–147.1236.3210.8–264.6
2063116.689.6–154.8238.3214.5–260.1
2064113.882.4–145239215.2–265.3
2065119.187.3–148.4239.8216.5–260
2066111.486.9–147.7240.4219.8–269.8
2067112.581.3–146.1234.5212.7–260.9
2068117.681.6–151.4239.3213.8–265.9
2069120.380.5–155.7241213–262.1
2070119.580.7–156.2241.2213.9–266.1
2071117.886.5–160.5239.6216.8–268.4
2072121.383.8–153.9244.7222.5–271.9
2073123.983.3–169.2243.1216.4–269.2
207411687.9–166.7243.3216.9–272.6
2075122.684.7–159.9244.5217.8–270
2076125.490.5–160.5245219.7–267.6
2077131.784.8–166.8249.7217.4–277.9
2078124.491.3–167.3247.1219.3–274.3
2079126.291.1–167.2245218.1–272.2
2080133.487.6–167.9247.1219.9–274.3
2081126.987.5–168.1244.6216.8–276.5
2082129.288.4–165.5244.9220.3–276
2083132.494.6–169.2249.3222.7–275.6
2084127.892.7–171.2244.5220.6–274.1
2085137.888.9–172.9252.2220.4–277.5
2086132.287–173.9247221.5–277.6
2087132.885.3–171.4243212.5–274.4
2088134.791.8–167.8245.7222.2–279.5
2089125.491.5–169.8245.4217.4–278.8
2090131.190.3–174.7249.8217.9–273.1
2091135.297.5–170.9249.3224.1–276.6
2092139.392.5–177.8250.8219.8–275.2
209313597.2–186.1249.4221.9–280.7
2094133.396.3–178.3252.8226.8–277.6
2095146.494.3–184.7251.7220.9–277.7
2096136.392.5–185.8251.6226.6–279.2
2097129.791.7–176.8246.5221.7–275
2098136.895.3–175252.7226–275.1
2099139.485.6–189.1253.6226.7–282.1
2100138.296.8–187.7250.4223.5–278.7

分别查看各国

须知

  • 一年中最高气温超过 35 °C 的天数,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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