Nepal vs Sri Lanka

Nepal vs Sri Lanka: Tropical nights

Tropical nights in 2014: 65.9 nights in Nepal and 337.9 nights in Sri Lanka, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sri Lanka, by 272 nights, or 5.13 times that in Nepal.

nights a year · CMIP6

Nepal vs Sri Lanka: Tropical nightsTropical nights in 2014: 65.9 nights in Nepal and 337.9 nights in Sri Lanka, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sri Lanka, by 272 nights, or 5.13 times that in Nepal.
NepalSri LankaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sri Lanka has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Nepal at 89.9 nights and Sri Lanka at 356.1 nights in 2100.

Every year

nights a year · CMIP6

YearNepalSri Lanka
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 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNepalSri Lanka
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

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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