斯威士兰与莫桑比克对比

斯威士兰与莫桑比克:热带夜

2014 年热带夜:斯威士兰为 54 夜,莫桑比克为 186.3 夜(CMIP6 气候模型中位数模拟)。 2014 年莫桑比克的数值较高,高出 132.3 夜,是斯威士兰的 3.45 倍。

每年夜数 · CMIP6

斯威士兰与莫桑比克:热带夜2014 年热带夜:斯威士兰为 54 夜,莫桑比克为 186.3 夜(CMIP6 气候模型中位数模拟)。 2014 年莫桑比克的数值较高,高出 132.3 夜,是斯威士兰的 3.45 倍。
斯威士兰莫桑比克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,莫桑比克的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年斯威士兰为 106.1 夜,莫桑比克为 254.4 夜。

逐年数据

每年夜数 · CMIP6

年份斯威士兰莫桑比克
201454186.3
201355.5186.9
201253.2185.2
201155184.1
201055.6182.2
200950.4178.2
200849.9176.8
200750.5178.9
200652.5177.4
200552.2176.9
200450.4181
200352.3180
200251.4177.1
200152.1180.6
200048.2173.6
199949.3171.5
199846.2174.1
199747.1169.9
199642.3164.7
199545.7165.8
199444163.1
199341.3155.5
199240.5156
199147.2167.5
199048.1170.2
198944.2164
198848.7166.4
198746.1166
198644.3166.6
198543159.3
198443.2161.1
198341.8159.7
198242.7160.6
198142.2164.5
198045.6161.9
197942.9162.2
197843.2160.2
197743.3160.2
197639.5157.4
197541.2157.7
197442.9159.1
197343.3160.4
197242.8157.6
197141.5155.6
197042.3159.7
196940.5157.8
196839.7153
196739.9152.8
196640.3152.5
196538.9153.1
196436.2145.9
196338.7146.8
196244.2158.5
196142158.8
196044.4160.6
195941.8159.7
195843.3159.5
195739.1156.9
195639.5153.4
195540.7159.6
195441.4155.4
195342.1156.8
195241.1156.6
195140157.4
195039.6156.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份斯威士兰莫桑比克
20155746.8–73.7191170.1–212.1
201653.542.4–71.5187.6168.6–208.2
20175742.9–67.6190.1169.4–210.1
201856.545–73189.8163.6–212.8
201957.749–79.4189.7171.9–208.8
202056.344–73191.3169–213.8
202161.543.6–78.3193.1172.7–212.9
202262.450.4–75.2199.9176.3–216.7
202362.750.2–74.9196.8176.4–217.3
202464.850.5–82.9199.7173.4–222.8
202564.450.1–79.4195.7173–219.1
202665.145.2–85.1197.7172.6–219.3
202763.948.7–85.2199.9177.9–221.8
202864.448.8–77.9202.5181.1–221.1
202969.456.2–88.9207.6187.3–227.3
203067.652.7–79.4203.6183.2–223.8
203172.559–88207.3188.7–225
203271.852.9–92.1207.4186.7–230.9
203366.751.3–86206.1180.7–226.1
203467.954.1–84.9206.3181.3–227.7
203569.755.6–89.6208.2184.1–233.6
203670.553.2–86.7208.3183.8–226.4
203772.758.2–89213.7191.8–234.3
203877.361.6–93.4218.4195.7–240.9
203972.858–93.8212.6192.3–233.5
204076.356.3–91.3212.7189–233.9
204174.957.5–94.7213.1187.1–238
204278.159.8–98.8214.9190.4–241.3
204378.259–95.1216196.2–238.9
204478.560–99.8220.2196.1–242.1
204576.461.4–96.7217.2198.6–237.6
20468260.8–105.9224.4200.5–247.6
204780.566.2–104.7224.5201.3–246.3
204879.766.9–105.8225.7205–247.5
204981.961.9–104.5226.4199.2–247.8
205085.764.4–105.1225.5198.1–246.6
205186.967.2–105.2227.5206.2–248.7
205288.565.6–106.4230.5208.6–255.2
205384.965.5–107.8226.3200.4–250
20548265.3–107.3227.8203.9–256.1
20558665.2–111.3231.5208.3–254.4
205688.769.2–108.8227.8204.6–253.1
205790.467–110.4227.6205.7–252.2
205885.668.9–110.5230.2208.3–251.8
205991.868.4–111.2235.5212.5–261.4
206088.669–112.9237.5208.9–257.9
20619169.1–111.7232.1204.8–256.1
206287.465.5–112.9233.2208.6–257.9
206389.670.7–118.3233.3207.3–261.6
206491.866.8–111.7234.6209.3–255.8
206594.368–116.5236208.7–261
206694.771.4–118.3239.4213.6–261.8
206788.863.9–116.4235.5205.9–259.4
206896.277.2–119.6237.7211–264.3
206994.972–118.1241.1212.2–263.4
207093.269.9–120240.7212.1–266
207198.673.3–123.2244.1214.3–272.8
20729777.5–122.4244.7215.8–267.8
207399.176.7–123.7246214.2–267.6
207496.674.7–123242.2219.9–271.1
207598.472.8–123.5244.4215.6–267.9
2076100.872.6–120.7240.8211–264.8
207796.774–122.8241.4214.7–272.4
207896.174.1–129.4245.4220.8–271.1
207990.871.2–124.3244.1214.3–276.4
2080103.372.6–126.5246.1221–273.6
208199.471.5–125.9245.6214.5–268.1
208299.176.6–126.4246.9220.6–268.3
2083104.876.3–126247.3217.4–276.4
2084106.975–128.7248.5223.3–270.9
208510780.2–134.6253.4221.5–277.6
2086105.479.5–130.7242.9216.4–272.3
2087102.574.8–130.2247.4222.8–271.3
2088109.378.6–132.3253221.1–274.9
2089103.477.8–128.4251.6221.9–277.3
2090103.573.3–139.2249.9218.6–277.9
2091106.477.3–138.3253.2221.4–280.8
2092108.280.1–138.5252.7221.5–279.5
2093106.980.9–138.8256221.7–279.4
2094106.880–134.5251.8221–280.3
2095111.375.8–141.6255.6225.8–278.1
2096102.173.1–146.5254.7225.8–280.4
2097103.672–134.9253.2221.8–281.6
2098106.979.6–137.9256.1225.2–279.6
2099108.881.6–138254.9223.4–278.7
2100106.178.5–138.7254.4226.1–279.1

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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