科特迪瓦与马里对比

科特迪瓦与马里：35 °C 以上天数

2014 年35 °C 以上天数：科特迪瓦为 36.4 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 168.9 天，是科特迪瓦的 5.64 倍。

在地图上查看其变化

每年天数 · CMIP6

科特迪瓦与马里：35 °C 以上天数2014 年35 °C 以上天数：科特迪瓦为 36.4 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 168.9 天，是科特迪瓦的 5.64 倍。
科特迪瓦马里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 年科特迪瓦为 110.6 天，马里为 250.4 天。

逐年数据

每年天数 · CMIP6

年份科特迪瓦马里
201436.4205.3
201337.7204.6
201235205.2
201135.7205
201033.9201.7
200932.7201.1
200829.4200.4
200731201.3
200629.7198.2
200532.3198.1
200433.6201.5
200330.8198.8
200231.2200.1
200132.8198.2
200030.7195.8
199929.5194.7
199829.1193.3
199728.5194.1
199622188.1
199523.7189.6
199423.7187
199319.8183.1
199218.4181.5
199127.1191.7
199028.5192.8
198924.1189.4
198826.3187.1
198725.3188.2
198625.7190.4
198524.4185.4
198424.5186.1
198324.3186.8
198225.5187.2
198125.4187
198023.3189
197924.1188.8
197823.9184.1
197723.5184.6
197622.4184.9
197521.1183
197422.5180
197322.7185.9
197221.3182.7
197121.8181.8
197021.6184.4
196923.9184.7
196820.1182.4
196718.6179.2
196622.3182.3
196519.2180.5
196414.2177.2
196322.2177.9
196223.5185.3
196122.7186.4
196025.2189.3
195923.5187.2
195824.4185.9
195721.8191.6
195621.9182.5
195525185.5
195422.3187.6
195320.9186.3
195221184.5
195124.3186
195021.3183
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份科特迪瓦马里
201539.425–57.3205.1181.6–226.2
201635.216.8–50.3202177.4–219.9
20173620.5–51.5208.7184.8–230
201837.619–57.1203.5179–226.6
201937.320.4–58.7207.3177.3–229.3
202038.122.5–63205.3176.9–227.9
202139.826.1–54.4207.3189.4–228.8
20224525.4–64.1212.7186.6–234.9
202340.323.9–55.9208.3186.1–232.4
202443.329.5–64.3216.7191.8–240.5
202544.224.5–59.9212.9190.9–233.9
202644.322.5–67214175.7–236
202744.518.2–68.2214.4187.3–235.9
202845.423.3–70.2217.9191.7–234.6
202948.427.4–73.1214193–233.5
203047.826.8–74.8215.1189.6–236.7
203149.926.4–70.3217.8194.8–239.2
203250.425–75.3215.6188.8–241.2
203353.229.1–74.9217.3191.2–240.5
203451.430.2–72.8215.5193.5–241
20355128.1–75.7220.3192.4–241.1
203650.925.8–79.3217.1193.6–243.4
203760.830–84.2224.3198.3–242.7
203860.135.1–86.1222.3194.3–251
203956.536.2–81.3219.2196.6–247.4
204054.231.5–91.5223.3201–245.1
20416539.9–87.6225.1204.4–245.5
20426137–84.8226199.1–248.7
204356.936.2–84.4223.1202.4–244.4
204462.538.5–92.4226.3197.8–250.4
20456638.2–93.7226.9202.5–248.2
204667.336.4–92.2228.6199.3–250.6
204771.837.3–96.2232.2203.4–255.4
204867.544.2–94.9232.1208.4–251.3
204967.342.7–100.2228.3206.3–249.9
205062.941–102.8227.9204.5–253.3
205167.939.3–102.7225.8205–252.8
205275.641.4–107233.4204.7–262.2
205369.643.7–109.3228.5204.3–257.4
205472.942.2–107.6231.7207.6–260.8
205577.446.2–112.6235.2209.3–258.2
205675.246.8–112.7236.4209–259.9
205780.146.7–110.5238.9212.9–266.1
205876.444.6–105.3232.2209.6–263.7
205977.848.5–119.8238.6213–263.1
206081.649.8–115.6235.3213.6–260.9
206182.447.9–117.4239.6210.7–268.2
206273.847.7–115.8236.3210.8–264.6
206383.655.4–125.6238.3214.5–260.1
206480.148.8–114.1239215.2–265.3
206586.652.1–119239.8216.5–260
206679.854.4–119.2240.4219.8–269.8
20678152.6–119.3234.5212.7–260.9
206887.151.2–124.3239.3213.8–265.9
20699049.1–129.5241213–262.1
207082.945.1–131.3241.2213.9–266.1
207181.952.8–131.5239.6216.8–268.4
207289.453–124.2244.7222.5–271.9
207394.850–142.1243.1216.4–269.2
207483.553.4–142.6243.3216.9–272.6
207589.751.6–131.7244.5217.8–270
207696.257.8–132245219.7–267.6
207798.950.4–141.2249.7217.4–277.9
20789157.1–137.8247.1219.3–274.3
207994.156.6–139.9245218.1–272.2
2080103.354.6–141.4247.1219.9–274.3
208196.658.5–139.2244.6216.8–276.5
208298.855.7–136.5244.9220.3–276
208399.660.7–141.8249.3222.7–275.6
208498.557.3–141.8244.5220.6–274.1
2085108.660.6–148.6252.2220.4–277.5
2086102.359.9–144.7247221.5–277.6
208799.854.5–143.3243212.5–274.4
2088101.756.4–138245.7222.2–279.5
208989.560.4–138.3245.4217.4–278.8
209098.358.5–146.7249.8217.9–273.1
2091103.466.1–145.8249.3224.1–276.6
2092109.559.6–150.7250.8219.8–275.2
2093102.561.4–163.2249.4221.9–280.7
2094102.361.8–153.6252.8226.8–277.6
2095115.160.6–159.8251.7220.9–277.7
2096104.661.5–158.1251.6226.6–279.2
209796.659.8–152.6246.5221.7–275
209810959.4–154252.7226–275.1
2099107.653.7–164.1253.6226.7–282.1
2100110.666.8–162250.4223.5–278.7

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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