尼泊尔与斯里兰卡对比

尼泊尔与斯里兰卡:热带夜

2014 年热带夜:尼泊尔为 65.9 夜,斯里兰卡为 337.9 夜(CMIP6 气候模型中位数模拟)。 2014 年斯里兰卡的数值较高,高出 272 夜,是尼泊尔的 5.13 倍。

每年夜数 · CMIP6

尼泊尔与斯里兰卡:热带夜2014 年热带夜:尼泊尔为 65.9 夜,斯里兰卡为 337.9 夜(CMIP6 气候模型中位数模拟)。 2014 年斯里兰卡的数值较高,高出 272 夜,是尼泊尔的 5.13 倍。
尼泊尔斯里兰卡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,斯里兰卡的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年尼泊尔为 89.9 夜,斯里兰卡为 356.1 夜。

逐年数据

每年夜数 · CMIP6

年份尼泊尔斯里兰卡
201465.9337.9
201366.5338.4
201266336.9
201164.7336.8
201065.7336.2
200963.8337.2
200864.1335.4
200764.3333.4
200664.4335.8
200564.4335.4
200464.2336
200364.2334.5
200265335.5
200163.6335
200063.4332.9
199963.3332.1
199861.8334.3
199762.3330.9
199660.9331.1
199560.7331.2
199459.8328.8
199359.6326.3
199257.3324.5
199162331.7
199062.1332.5
198961330.1
198859.8330.7
198760.2329.7
198659.9329.1
198559.2328
198459.4328.3
198357.4324
198260.2328
198159.9330.5
198060.3328.6
197959.2328.3
197858.8326.9
197759.3328.8
197658.8325.9
197558.3325.6
197459.8326.3
197359.2326.9
197257.9325.1
197158.9326.9
197058.1324.4
196957.9324.5
196857.6323.2
196757.3322.4
196658.8324.6
196557.3324.1
196457.3324.6
196358.1322.6
196258.8327.7
196159.1326.8
196059.8326.4
195960.2326.1
195859.1327.2
195759.3325.5
195659.1324.6
195558.2326.1
195459.3324.6
195358.7324.4
195259325.9
195159.3326.3
195059.1328.4
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份尼泊尔斯里兰卡
201566.560–73.8339.4328.1–347.4
201666.358.3–73.6339326.4–346.7
201766.758.6–73.6339.5327.6–346.8
201865.658.9–73.3340.4328.3–347
201966.358–74.3340.4328.1–346.4
202068.360.6–75.9341.6331.3–348.4
202167.959.6–75.8341.5327.8–347.3
202268.661–75.3340.6329.7–347.9
202369.361.6–76.2342.4331–349.4
20247063–78.7343.6332.7–349.8
202568.660.3–78.1342.3331–348.4
202669.859.8–78.5341.7328.8–350.2
202769.761–78.1344334.3–351.2
202870.562.6–78344.3334.6–350.5
202970.461.7–80.6344333.2–350
20307061.3–78.5345.4334.7–351.4
203171.262.8–78.6344.1331.4–351.1
203272.163.9–81.1344.5332.2–352.3
203371.264.8–78346.1333.6–351.7
203471.663.8–80.2346.2334.9–352.2
203572.664.3–83345.6337.6–353
203671.965–80.3347.3335.8–353.1
203774.165.9–84.2347332.5–352.5
203874.167–83.3348338.7–353.5
203973.565.2–82.5347.7338.1–352.8
204073.865.9–83.3347.7337.4–353.8
204175.368.2–83.4347.8336.6–353.4
204275.667.7–84.9347.4336.7–353.8
204375.566.3–85348.1337.1–353.8
204476.467.5–85.4347.5338.5–354.6
204576.567.9–85.2348.5339.9–354.9
204676.966.8–86350339–355.4
204777.766.9–86.2350.1339.2–355.3
204878.367.8–88350.9339.3–356.1
204978.568.6–87.8351.7340.7–355.9
205079.367.8–90350.2339.4–356.3
20517970.1–88.5350.4340.3–356.3
205279.570.4–88.6351.5341.3–356.8
205379.170.1–88.4350.6341.6–356.1
205479.168.9–89351.2339.9–357.3
205580.571.8–89.3351.2342.2–356.7
205679.771.5–89.6352.4341–358.2
205780.671.9–89.8352.2341–357
205880.771–91.5351.2340.8–358.1
205980.770.6–93.7352.4343–357.5
206082.472.9–91.7354342.7–358.8
206180.871.4–90.4351.9340.9–357.2
206282.172–93.2352.6341.4–358.1
206382.271.5–92.1353341.7–358.6
206482.872.6–92353.4342.5–358.9
206582.672.2–93.3353.2343.7–357.9
206683.772.4–94.2353.9342.3–358.5
206782.771.9–93.3352.9342.4–358.9
206884.772.4–95.1353.4343–359.6
20698573–94.3354344.3–359.1
207083.273.2–92.7354.3342.8–358.6
207183.872.9–93.9353.5343.4–359.4
207285.274.6–95.4354.7345.5–359.2
207385.875.3–96.4353.6343.3–359
207484.474.5–95.8354.1345–359.7
20758574.2–95.4354.7344.7–359.5
207685.974.8–95354.7341.4–360.4
207786.775.4–97.4354.9343.5–359.9
207885.775.7–96.6353.6342.5–359.6
207985.973.7–96354.2343.4–360
208087.576.4–97.7354.8343–361.4
208187.577.2–98.1355.4345.4–360.3
208286.877.3–98.8355.3345–359.4
20838876.6–99.5355.7344.3–360.1
208488.377.6–99.6355.9346.4–361.2
208587.876.3–100.8354.7345.1–360.5
208687.975.2–100.2356344.9–360.4
208787.476.2–98.9355.2344.8–360.4
208887.375.6–99.2355.7345–361.9
20898776.2–100.1356346.1–360.1
209087.977.5–99355.6345.5–360.8
209188.877.6–101.7356.2343.4–360.7
209288.477.7–101.1356.2345.3–361.5
209388.776.8–99.9355.8343.7–360.9
209488.677.6–99.5356344.9–360.6
209589.478.8–99.7357.1345.9–361
209689.178.6–101.7356.2346.8–362.3
209787.976.6–99.4356.6344.6–360.4
209889.678.1–100.1356.8344.4–361.1
209989.778.5–100.7355.9344.9–361.1
210089.980–100356.1346.8–360.4

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

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