加纳与南苏丹对比

加纳与南苏丹:35 °C 以上天数

2014 年35 °C 以上天数:加纳为 71.6 天,南苏丹为 115.2 天(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 43.7 天,是加纳的 1.61 倍。

每年天数 · CMIP6

加纳与南苏丹:35 °C 以上天数2014 年35 °C 以上天数:加纳为 71.6 天,南苏丹为 115.2 天(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 43.7 天,是加纳的 1.61 倍。
加纳南苏丹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,南苏丹的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年加纳为 138.2 天,南苏丹为 172 天。

逐年数据

每年天数 · CMIP6

年份加纳南苏丹
201471.6115.2
201371.3111.2
201268.2108.8
201167.9112.9
201067.4112.8
200964.1104.3
200862.6104.2
200763.3100.7
200661.4105.3
200563.7102.8
200465.8103.4
200363.1102.5
200259.8104.6
200166.5108.9
20006499.1
199959.397.8
199859.197.6
199759.999.2
199652.994
19955594
199454.289.9
199348.484.6
199245.787.9
19915795.2
199059.494
198953.893.6
198857.998
198756.197.7
198656.897.9
198553.289.8
198455.490.8
198353.690.8
198255.389.3
198157.396.2
198054.897.5
197955.595.4
197853.389.1
197754.692.9
197651.686.7
197551.391.5
197450.390
197353.890.1
197251.389.8
197151.884.8
197049.487.8
196953.890.8
196848.685.5
19675084.3
196649.687
196548.382.2
196441.479.2
196349.784.4
196253.493.5
196155.290.4
196053.792
195955.690.1
195855.988
195753.690.7
195650.785.5
195552.487.3
195454.691
195353.795.5
195252.988.7
19515593.2
195050.486.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份加纳南苏丹
201571.153.8–91.4112.487.1–135.9
201663.945.6–80.9103.878.8–129.9
201768.550.1–89.6114.384.4–134.8
201868.847.2–90.5109.674.1–140.7
201971.251.3–91.2107.285.2–133.3
202070.447.5–99114.783–140.8
202172.353.9–89.2112.182.3–137.9
202277.853–100.4108.880.6–137.3
202374.950.1–94.2113.188.8–147.8
202476.458.9–98.6121.591–149.4
202573.458.6–97.1115.889.9–141.1
202676.448.1–100.1112.283.6–145.9
202782.348.1–101.3115.482.9–143.9
202878.254.7–103.3118.387.9–145.1
202982.160.9–106.2120.789.9–140.1
203082.358.1–109.4117.292.5–147.7
203183.460–104.8123.397.3–147.8
203287.859.8–113.7118.791.5–148.1
203385.457.8–111.6123.791.9–159.9
203485.760.7–107.6120.889.9–159.1
203583.752.3–112.8122.892.3–153.1
203683.959.8–112.7118.790.7–147.5
20379161.1–112.1127.792.4–161
20389369.4–116.7129.5101.9–159.2
203990.768.6–112.3128.394.6–153.1
204091.464.9–124.3125.894.8–150.7
204198.373.9–119.7133.899.2–157.8
204294.468.7–119.2129.3101.8–150.8
204389.969.9–115.4124.788.4–161.9
204496.466.8–122.112893.3–153.7
204597.672.5–126.7134.398–166.7
2046103.372–126142.1102.3–172.2
2047107.173.1–126.4139.3111.2–169.4
2048102.273.2–129.3133.1102.8–175.4
2049101.778.4–130.3144106.7–173.4
205097.174.1–133.6131.8102.7–175.9
2051100.271.2–132.2136.9103.8–181
2052106.772.2–139.2140.6107.1–170.7
2053102.176.2–135.8136.798.4–174.4
2054104.973–138.7143.499–172.9
2055108.379.7–140.4143.4108.5–177.2
2056107.278.3–141.6140.5106.1–187.1
205711579.1–140.9152.3116.4–191.2
2058109.381.4–137.3151.7101.9–183.5
2059110.484.2–149.1145.9103.5–182.1
2060112.979.5–150148.7106.5–190.2
206111581.5–147149.5111.4–191.8
2062110.282.1–147.1146.1106.4–194.6
2063116.689.6–154.8147.1109.1–180.2
2064113.882.4–145149.2109.2–185.1
2065119.187.3–148.4153.7122.4–192.3
2066111.486.9–147.7150.4119.4–190.7
2067112.581.3–146.1149.8119–196.2
2068117.681.6–151.4153.9118.8–193.6
2069120.380.5–155.7148.8111.4–191.2
2070119.580.7–156.2154.5117–195.8
2071117.886.5–160.5153.5117.6–200.4
2072121.383.8–153.9161.7122–189.2
2073123.983.3–169.2159.7124.4–198.7
207411687.9–166.7151.9106.9–200.6
2075122.684.7–159.9155.5106.6–190
2076125.490.5–160.5159.9116.3–216.8
2077131.784.8–166.8163.6123.7–216.5
2078124.491.3–167.3161.4123.3–199.6
2079126.291.1–167.2158.8127.9–190.6
2080133.487.6–167.9161.6116.1–198.3
2081126.987.5–168.1163.3126.3–208.9
2082129.288.4–165.5159.2127.6–200.5
2083132.494.6–169.2168129–211.4
2084127.892.7–171.2162.7120.4–199.8
2085137.888.9–172.9166.1126.3–209.4
2086132.287–173.9162.5122.2–208.7
2087132.885.3–171.4163.7110.7–202.2
2088134.791.8–167.8164.8122.3–214.2
2089125.491.5–169.8162.4126–199.8
2090131.190.3–174.7167120.8–211.8
2091135.297.5–170.9165.6119.3–210.6
2092139.392.5–177.8173.9126.9–217.6
209313597.2–186.1168.8131.2–208.4
2094133.396.3–178.3171.1131.9–222.8
2095146.494.3–184.7171.7128.2–224.7
2096136.392.5–185.8166.3122.8–214.1
2097129.791.7–176.8165.8123.7–214.6
2098136.895.3–175165.5125–217.9
2099139.485.6–189.1171126.6–227.6
2100138.296.8–187.7172124.2–217.9

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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