Argentina vs Ecuador

Argentina vs Ecuador: Tropical nights

Tropical nights in 2014: 42.6 nights in Argentina and 192 nights in Ecuador, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ecuador, by 149.4 nights, or 4.5 times that in Argentina.

nights a year · CMIP6

Argentina vs Ecuador: Tropical nightsTropical nights in 2014: 42.6 nights in Argentina and 192 nights in Ecuador, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ecuador, by 149.4 nights, or 4.5 times that in Argentina.
ArgentinaEcuadorCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ecuador 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 Ecuador at 223.3 nights in 2100.

Every year

nights a year · CMIP6

YearArgentinaEcuador
201442.6192
201341.8192.7
201241195.6
201141.5193.5
201040.8191.9
200941.6190.7
200841.4190.2
200739.6188.3
200639.3186
200540.1187.4
200440.6190
200338.7188.3
200240.2187.2
200139.5189
200039.5185.3
199938.4181.4
199838.8182.7
199738.5182.4
199637176.2
199535.7174.9
199434.7175.8
199334.3170.8
199233.4166.2
199136.8179.8
199036184.5
198937178.8
198836.9173.9
198736.1177.8
198636.4177.2
198536172
198434.7172.1
198335.2166.8
198235.7170.8
198137.3177.4
198036.3173.2
197937.5172.1
197835.7172.3
197735.1172
197635.7170
197534.8163.9
197435.4169.4
197334.1173.3
197235.5169.5
197134.7167.5
197034.9169.8
196933.4167.4
196834.6168.5
196733159.5
196634.3162.2
196532.2163.3
196430.3161.2
196332151.1
196235.2168.6
196135.6169.5
196035.6172.4
195934.5167.3
195833.3170.7
195735.7171.4
195635164
195534.4169
195433.6169.5
195335.8169.6
195234.4170.3
195135.4171.7
195033.9169.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaEcuador
201544.433.5–53.4193.3172.3–205.7
201643.532.4–53.4192.7172.2–203.6
201742.834.2–52.6195.3178.7–206.8
201842.632.7–52.6194.8178–206.5
201943.633.4–53.1193.3173.9–207.6
202045.735.5–57.2196.2179.1–208
202145.634.3–56.4198.7183.8–209
202244.633.3–56.4200.5181.4–209.9
202344.934.9–53.9198.3180.6–210.1
202445.834.2–57.5201.5181.4–210.7
202546.536–58.1199.9180–212
202647.936.7–57200.2180.5–211.7
202746.434.5–56.3199.8181.7–210.8
202846.133.5–58.5203.4187–212.4
202948.336–58.8204.6189.9–213
203047.835.4–60.3200.4183–212.8
203146.935.5–58.7204.9187.3–214.1
20324837.9–59.7205.8191.8–216.5
203347.436.7–57.6203.3184.3–213.1
203447.837.8–58.9203.3189.6–218.3
203547.339–59204.3187.8–214.4
203648.939.2–58.4204.8189.9–214.6
20375141.2–60.9207.9195.6–216.5
203848.737.9–59.7208.5195.8–216.1
203948.839.1–58.4206.5190.8–217.1
204050.440.4–62.3208.7193.7–219.1
204150.740.4–61.7208.8194.8–218.1
20425037.3–61.1208.6192.5–219.7
204350.340.5–61207.2192.5–217.3
20445240–65207190.4–220.2
204552.441.3–65.6209.7196–219
204651.941.2–62.7213.1196.1–221.1
204751.542–64211.9198.3–219.3
204854.542.6–65214.1200.7–222.9
204953.942.8–64.9212.8200–221
205052.543.6–62.4211.6197.6–222.2
205155.743.3–67.4213.8197.8–221.4
205255.642.2–67213.3202.2–222.7
205355.342.6–67.6212.5198.8–221.7
205454.743–66.7213.5201–224.3
205555.942.3–67.2213.9203–224.9
205657.642.8–68.6215.6199.8–223.9
205756.842.3–68.7214.5198.6–224
205854.841.5–68.1215.1199.9–225.9
205957.844.9–70.3217.2200.1–225.2
206056.943.4–67.9217.1204.7–226.8
206156.542.3–70.6215.6201.9–225.8
206257.345.8–68.5216.8201.4–226.9
206358.244.6–70.2217202.6–226.3
206458.845.8–71.5216.7203–225
206558.746–71.1217.7204.7–227
206659.947–68.9217.2205.6–227.3
206758.944.8–71.5217.4201.5–226.7
206857.844.3–70.3218.9203.9–228.3
206959.445.4–70.5216.8201.7–228
207061.348.2–74.3216.8204.3–228.3
207160.148.7–73.2219.5205.5–228.7
207260.146.7–73.7220208.3–229
207360.847.6–73.5219.5208.1–230.7
207460.447.6–73.7218.4202.8–228
207561.347.9–73.9218.8203.6–227.8
207661.146.8–75.8220.7207.7–229.9
207760.647.1–73.1220.7206.9–230.5
207863.449.4–75.6220207.5–231
207959.948.7–73220.4205.4–229.2
20806348.1–75.5220.2204.8–230.7
208161.448.7–73.5220.2205.5–230.9
208261.747.7–75220.1207.8–229.2
208362.148.2–75.6221.5208.5–232.9
208462.950.3–76222.3207.1–232.6
20856246.9–76.4222.4208.4–234.3
208662.749.4–76.4219.9207.1–232.4
208761.847.9–74.9220.9206.1–231.9
208864.450.8–77.5221.7206.1–234.8
208962.749.3–76.3221.3206.9–232.8
209064.152.5–77.1221.6208.8–234.3
209164.451.7–78.3223.8207.5–233.5
209265.650.8–78.3222.7209.7–234.9
209362.749.7–76.8221.7208.7–235.5
209463.950.1–78.5223209.9–234.4
209562.948.8–77.9223.9209.9–235.4
209664.749.4–78.9221.9209.7–237.3
209764.552.4–80.1221.6208.4–232.3
209865.652.7–78.7222.1210.2–238.2
209965.249.3–80.2222.2207.1–234.4
210065.250–81.7223.3209.1–235.3

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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