Argentina vs United Arab Emirates

Argentina vs United Arab Emirates: Tropical nights

Tropical nights in 2014: 42.6 nights in Argentina and 215.2 nights in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 172.6 nights, or 5.05 times that in Argentina.

nights a year · CMIP6

Argentina vs United Arab Emirates: Tropical nightsTropical nights in 2014: 42.6 nights in Argentina and 215.2 nights in United Arab Emirates, in the CMIP6 climate models’ median run. In 2014 the value was higher in United Arab Emirates, by 172.6 nights, or 5.05 times that in Argentina.
ArgentinaUnited Arab EmiratesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • United Arab Emirates has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Argentina at 65.2 nights and United Arab Emirates at 252 nights in 2100.

Every year

nights a year · CMIP6

YearArgentinaUnited Arab Emirates
201442.6215.2
201341.8215.5
201241219.6
201141.5218
201040.8213.7
200941.6212
200841.4214.8
200739.6215.8
200639.3215.4
200540.1212.2
200440.6212.4
200338.7213.4
200240.2211.6
200139.5211.6
200039.5212.5
199938.4211.7
199838.8209.4
199738.5210.8
199637207.8
199535.7206.6
199434.7206.8
199334.3204.2
199233.4204.3
199136.8206.7
199036208.5
198937205.9
198836.9204
198736.1203.6
198636.4206.2
198536204.1
198434.7202.6
198335.2200.4
198235.7203.2
198137.3205.1
198036.3202.8
197937.5203.2
197835.7201.5
197735.1202.2
197635.7202.3
197534.8199.3
197435.4202
197334.1200.9
197235.5199.4
197134.7197
197034.9201.3
196933.4199.8
196834.6202.3
196733197.7
196634.3198
196532.2200.5
196430.3199.6
196332197.9
196235.2201.1
196135.6200.6
196035.6204.3
195934.5202.6
195833.3202.7
195735.7203.2
195635202.6
195534.4201
195433.6200.2
195335.8200
195234.4200.2
195135.4198.9
195033.9201.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaUnited Arab Emirates
201544.433.5–53.4221.6206.4–232
201643.532.4–53.4218.7207.6–229.7
201742.834.2–52.6218.3203.9–232.7
201842.632.7–52.6221.4209.2–237.6
201943.633.4–53.1218.7202.8–232.2
202045.735.5–57.2221.7206.9–233.5
202145.634.3–56.4224.6210.5–236.3
202244.633.3–56.4225.3206.9–235.7
202344.934.9–53.9225209.1–236.4
202445.834.2–57.5223.8205.2–240
202546.536–58.1226.3210.1–245
202647.936.7–57227.7214.2–244.9
202746.434.5–56.3227.6208.2–241.5
202846.133.5–58.5229.9210.9–241.3
202948.336–58.8225.1211–240
203047.835.4–60.3227.6216.2–240.9
203146.935.5–58.7229.3215.4–238.4
20324837.9–59.7225.5211.9–240.5
203347.436.7–57.6224.2211.4–241.3
203447.837.8–58.9230.4213–245
203547.339–59231.6214.2–246.5
203648.939.2–58.4230217.2–247.1
20375141.2–60.9232.6220.2–244.5
203848.737.9–59.7233.6213.5–248.4
203948.839.1–58.4231.4218.1–245.6
204050.440.4–62.3232.5214–246.4
204150.740.4–61.7230.4214.9–244.7
20425037.3–61.1232.6213.3–249.6
204350.340.5–61233.9220.3–250.1
20445240–65236.3223.3–250
204552.441.3–65.6236217.2–252
204651.941.2–62.7237.5219.3–255
204751.542–64240.9222.1–253
204854.542.6–65241.8226.1–256.9
204953.942.8–64.9233.7215.7–249.4
205052.543.6–62.4240.1226.8–250.9
205155.743.3–67.4240.9227.2–254.5
205255.642.2–67239.2228.3–256.1
205355.342.6–67.6241.4221.7–257.4
205454.743–66.7241.3223.5–256.1
205555.942.3–67.2240.5223.3–259.3
205657.642.8–68.6239.3220.5–258.9
205756.842.3–68.7242.2226.6–260.2
205854.841.5–68.1238.9224.7–255.4
205957.844.9–70.3244.2226.6–262.6
206056.943.4–67.9241227.4–255.2
206156.542.3–70.6239.9227.9–253.1
206257.345.8–68.5243.2227.3–264.4
206358.244.6–70.2245.3229.1–264.6
206458.845.8–71.5241.1225.2–258.6
206558.746–71.1244.3225.3–260.5
206659.947–68.9246230.8–261.7
206758.944.8–71.5245.4223–265.8
206857.844.3–70.3245.4232.6–266.7
206959.445.4–70.5244.6227.4–262.2
207061.348.2–74.3248.1225.9–266.5
207160.148.7–73.2248.6231–266
207260.146.7–73.7247.9230.2–267
207360.847.6–73.5247.9227.6–261.8
207460.447.6–73.7247.5227.3–270.8
207561.347.9–73.9251.8234.3–269.8
207661.146.8–75.8247.5228.7–266.1
207760.647.1–73.1252.9233.3–269.1
207863.449.4–75.6249.9234.1–264.7
207959.948.7–73247.6227.4–265.8
20806348.1–75.5248232–267.9
208161.448.7–73.5250.7231–267.6
208261.747.7–75248.9235.3–266.8
208362.148.2–75.6248.6234.2–273.1
208462.950.3–76248.9228.9–268.2
20856246.9–76.4253236.8–270.7
208662.749.4–76.4253.4234.9–273.3
208761.847.9–74.9252.9236.9–274.1
208864.450.8–77.5252.1231.1–276.1
208962.749.3–76.3253.4234.1–271.9
209064.152.5–77.1251.9236.4–274.5
209164.451.7–78.3254.8240.7–274.4
209265.650.8–78.3254.6232.1–275.1
209362.749.7–76.8250.9233.5–268.9
209463.950.1–78.5251.6236.6–270.8
209562.948.8–77.9252.4238.2–272
209664.749.4–78.9254.6236–272.6
209764.552.4–80.1251.4227.8–278
209865.652.7–78.7257.8237.5–278.8
209965.249.3–80.2252.5233.5–276.1
210065.250–81.7252236.2–276

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

Argentina vs United Arab Emirates

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment