中国与老挝对比

中国与老挝:热带夜

2014 年热带夜:中国为 41.5 夜,老挝为 192.8 夜(CMIP6 气候模型中位数模拟)。 2014 年老挝的数值较高,高出 151.4 夜,是中国的 4.65 倍。

每年夜数 · CMIP6

中国与老挝:热带夜2014 年热带夜:中国为 41.5 夜,老挝为 192.8 夜(CMIP6 气候模型中位数模拟)。 2014 年老挝的数值较高,高出 151.4 夜,是中国的 4.65 倍。
中国老挝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,老挝的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年中国为 63.3 夜,老挝为 246.3 夜。

逐年数据

每年夜数 · CMIP6

年份中国老挝
201441.5192.8
201341.7195.1
201240.8191.6
201140.2193
201040.5190.7
200939.5189.1
200839.2188.6
200738.7185.3
200639.5188.6
200539.5186.1
200439.7191.4
200338.5183.8
200238.8184.7
200139.5190.3
200038.6185.1
199938.5183.9
199837.6184.9
199737.1184.9
199636.6177.4
199535.1176.6
199434.9179.4
199333.2170.4
199232.3165.3
199135.9178.5
199036.4181.2
198936.1176.1
198835.1178.1
198734.5177.3
198634176.9
198533.5172.3
198433.4175.7
198331.5166.9
198234.1173.8
198134.2174.1
198034.3175.3
197933.8174.1
197834.8170.7
197733.3172.6
197632.7169.8
197533.1169.3
197433.3171.2
197333.1177.3
197232.6169.3
197133168.6
197032.4169.4
196933.4171.8
196832.8170.3
196733.4164.6
196633.4171.4
196532.5168.3
196432.1164.5
196334.5166.3
196234173
196134.6175
196034.1173.2
195934170.1
195835176.9
195734.4171.8
195634.6173.3
195534.2172.8
195434.2171.8
195334.3171.8
195234.3173.6
195135.1175.3
195034.9172.1
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份中国老挝
201542.334.8–49.8198.2176.6–216.8
201642.134.4–50193174.6–213.8
201743.135.3–51.6198.1178.2–215.1
201842.335.5–49.5198.8178.8–218.7
201943.836.5–51.1200.6172.9–217.8
202043.736.8–51.1201.8177.8–220
202144.136–52.1204.2184–224.5
202244.737.5–52.7205.2182.2–225.7
202345.737.8–53.4206.2187.2–224.3
202445.738.1–54205.2186.3–221.9
202546.337.5–54.8206.1181.2–224
202646.237.6–55.5207.5183.6–226.9
202746.138–54.9206.4185.8–226.4
202846.438.4–54.3208.4186.8–230.5
202946.939.1–55.6215.3189.5–232.4
203047.138.8–55.3209.8189.3–227.8
20314738.8–56211.6194.2–230.7
203248.339.3–57.4211.4191–229.3
203347.939.7–56.6212.8193.9–231.8
203448.440.5–57.3214.5190.9–236
203549.740.8–58.6213.3192.8–234.5
20364940.1–58.2213.6191.7–231.6
20374941.2–57.6215.7195.2–234.2
203850.542.4–59.3221.3202.2–238.1
203949.641.2–59.2216195.9–235.9
204050.942.4–60.4217.2196.2–235.1
204151.342.5–61.1221.3199.8–240.8
204251.642–61.5221.3200.3–239.4
204350.742.7–61218.2199.3–237.8
204451.942.4–61.9219.8194.2–237.9
204551.542.8–61.1223.9202.3–242.4
20465343.7–62.7222.1198–239
204753.544.5–62.5225202.1–243.8
204853.144–62.6226.8204.9–247.7
204952.843.8–63.3226.6206–249
205053.644.4–63.8226.9207.5–245.6
205154.345.1–64.8229.3208.8–247.3
205253.444.6–63.2228.7209.4–244.4
205354.244.2–64.2227.2206.2–247.2
205454.545.3–64.8228206.7–247.3
20555545.1–65.8227.3206.6–248.1
205655.245.1–66.6232.1212.8–253.7
205754.844.9–65.7227.9207.9–248.4
205855.145.8–67.7229.6207.8–249.3
205955.345.1–67.2233.1214.1–249.5
206057.246.9–68.1237.7213.2–253.7
206156.546.6–66.3233.5210–254.8
206256.846.9–68.5230.6209–257.1
206357.247.2–68.6232.2211–250.9
20645747.1–67.7235213.9–252
206557.347.1–67.8232.1213.7–253.3
206657.347.9–68.7232.1212.3–251.7
206757.546.4–68.2231.7205.9–254.2
206858.748.5–70.5235.6212.3–256.8
206958.548.4–69237.4213.9–257.5
20705847.6–71.7234.4213.7–255.9
207159.347.4–71.6236212.9–260.4
207259.248.1–71.5239214.7–254.8
207359.849.1–70.9239.6220.8–259
207459.648.7–71.1239214.1–260.4
207558.748.3–71.4238.6215.1–260.7
207660.249–70.9240.5216.9–263.9
207760.851.1–72.4242.2222.7–262.5
207859.648.8–72.4242.1215.9–260.8
207960.750.1–72.6241.1222.6–260.6
208059.950–72.3240.8220.6–264.8
208160.950–73.2242.8217.4–264.5
20826149.8–73.3243.2216.6–262.4
208361.251.2–73.6239.6219.9–261.2
208461.749.7–74.6241.7215.2–260
208561.250.8–75.2243.6221.2–266.3
208661.648.9–74.5244.4218.2–267.7
208761.650.6–75243.8219.7–267
208862.750.5–77.1246.1224.3–269.6
208961.950–75.2242.8220.1–268.3
209062.551.4–73.7242.8226.2–266.1
209163.852–75.7245.5221.4–267
209263.251.2–75.1243.1220.1–266.5
209363.252–75.4242.1221.2–263.6
20946351.1–76.3245.7224.8–267.6
209563.952.8–76.4249.4222.7–273.4
209663.852.2–76.8244.6221.7–268.3
209762.750.7–75.1244.8221–265.4
209863.451.2–76.8245.4224.3–268
209963.851.9–76.1247.3220.9–265.1
210063.351.7–76.2246.3220–266.4

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

中国与老挝对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境