中国与埃塞俄比亚对比

中国与埃塞俄比亚:热带夜

2014 年热带夜:中国为 41.5 夜,埃塞俄比亚为 144.9 夜(CMIP6 气候模型中位数模拟)。 2014 年埃塞俄比亚的数值较高,高出 103.5 夜,是中国的 3.5 倍。

每年夜数 · CMIP6

中国与埃塞俄比亚:热带夜2014 年热带夜:中国为 41.5 夜,埃塞俄比亚为 144.9 夜(CMIP6 气候模型中位数模拟)。 2014 年埃塞俄比亚的数值较高,高出 103.5 夜,是中国的 3.5 倍。
中国埃塞俄比亚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,埃塞俄比亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年中国为 63.3 夜,埃塞俄比亚为 201.7 夜。

逐年数据

每年夜数 · CMIP6

年份中国埃塞俄比亚
201441.5144.9
201341.7145.1
201240.8144.4
201140.2145.6
201040.5142.4
200939.5140.3
200839.2137.1
200738.7138.2
200639.5138.7
200539.5138.1
200439.7139.1
200338.5138.8
200238.8137.4
200139.5139.2
200038.6135.5
199938.5132.6
199837.6132.9
199737.1132.7
199636.6129.7
199535.1127.8
199434.9126.3
199333.2122.5
199232.3119.7
199135.9129.5
199036.4132.7
198936.1129.4
198835.1128.2
198734.5126.4
198634128.1
198533.5122.8
198433.4124.8
198331.5120.6
198234.1126.3
198134.2127
198034.3124.9
197933.8125.1
197834.8124.7
197733.3125.8
197632.7122
197533.1119.5
197433.3124
197333.1125.2
197232.6122.3
197133120.6
197032.4121.3
196933.4120.4
196832.8119.1
196733.4118.1
196633.4119.5
196532.5117.4
196432.1116.6
196334.5115.7
196234121.6
196134.6124.2
196034.1124.5
195934121.6
195835124.1
195734.4123.2
195634.6120.9
195534.2122.8
195434.2121.6
195334.3121.2
195234.3122.8
195135.1123
195034.9122
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份中国埃塞俄比亚
201542.334.8–49.8146.6129.4–163.9
201642.134.4–50144.1127–160.6
201743.135.3–51.6148.3129.2–164.9
201842.335.5–49.5149.6131.6–166
201943.836.5–51.1146.2129.3–166
202043.736.8–51.1149.4129.6–168.5
202144.136–52.1150.7132.1–170
202244.737.5–52.7154135.7–171.2
202345.737.8–53.4153.5135.4–171.4
202445.738.1–54156.5135.9–175.6
202546.337.5–54.8154132.6–175.5
202646.237.6–55.5153132–175
202746.138–54.9154.2134.4–175.3
202846.438.4–54.3157.5138.3–177.4
202946.939.1–55.6159.2141.8–176.8
203047.138.8–55.3156.8136.3–175.7
20314738.8–56161.4142.4–179.1
203248.339.3–57.4161.7143.1–182.5
203347.939.7–56.6161.8140–180.9
203448.440.5–57.3158.8141.5–184.3
203549.740.8–58.6162141.7–184.2
20364940.1–58.2160.5143.6–179.4
20374941.2–57.6165145.8–184.5
203850.542.4–59.3167.1146.5–186.7
203949.641.2–59.2164.5143.9–186
204050.942.4–60.4165.9146.2–190.1
204151.342.5–61.1167.9146.3–189.3
204251.642–61.5167.7146–194.3
204350.742.7–61167.3145.5–190.8
204451.942.4–61.9168.2148.2–189.9
204551.542.8–61.1170.7149.1–192.3
20465343.7–62.7175.3150–198.6
204753.544.5–62.5176.9151.8–197.5
204853.144–62.6177.5155.4–199.1
204952.843.8–63.3177.5157.9–198.4
205053.644.4–63.8176.4153.8–199
205154.345.1–64.8176.6155.3–199.7
205253.444.6–63.2177155.6–200.7
205354.244.2–64.2176.7154.2–201.6
205454.545.3–64.8177.6156.9–201.1
20555545.1–65.8180.6155.2–202.3
205655.245.1–66.6177.3155–205.4
205754.844.9–65.7180.3159.3–205.5
205855.145.8–67.7182.6153.7–209.4
205955.345.1–67.2185.7160.1–210.6
206057.246.9–68.1185.9160.3–210.4
206156.546.6–66.3183.3158.3–211.7
206256.846.9–68.5183.8155.4–213
206357.247.2–68.6184.5159.1–208.6
20645747.1–67.7186.7160.6–207.2
206557.347.1–67.8183.7162.4–212.9
206657.347.9–68.7187.1165.4–210.1
206757.546.4–68.2187.1160.7–214.5
206858.748.5–70.5187.6160.4–215.8
206958.548.4–69187.8165.4–215.8
20705847.6–71.7187.9161.6–216.9
207159.347.4–71.6192.7165.2–219.5
207259.248.1–71.5193.6167.4–214.5
207359.849.1–70.9193.3169.7–218.7
207459.648.7–71.1188.5163.9–219
207558.748.3–71.4191.9162.7–218.6
207660.249–70.9195166.9–218.9
207760.851.1–72.4194.1169.3–223.3
207859.648.8–72.4192.1168.4–218.6
207960.750.1–72.6193.4166.6–220.9
208059.950–72.3196.1169.2–222.4
208160.950–73.2194.6171–221.4
20826149.8–73.3195.4168.8–219.9
208361.251.2–73.6194.6168.2–228.7
208461.749.7–74.6198.5170.7–224.2
208561.250.8–75.2198.4173.1–226.3
208661.648.9–74.5198.6172.3–228.4
208761.650.6–75199170.6–226.6
208862.750.5–77.1199170.7–227.7
208961.950–75.2198.6171.2–226.2
209062.551.4–73.7198.6173.4–227.7
209163.852–75.7203.6171.9–232.1
209263.251.2–75.1200.7172.5–229.7
209363.252–75.4201.4175.2–228.6
20946351.1–76.3200.2174–228.9
209563.952.8–76.4203.9175.7–231.9
209663.852.2–76.8199.1170.5–230.8
209762.750.7–75.1198.4171.8–229.3
209863.451.2–76.8198.7172.1–231.5
209963.851.9–76.1201.8172.8–233.3
210063.351.7–76.2201.7175.1–231.8

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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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