Argentina vs Dominican Republic

Argentina vs Dominican Republic: Tropical nights

Tropical nights in 2014: 42.6 nights in Argentina and 234.2 nights in Dominican Republic, in the CMIP6 climate models’ median run. In 2014 the value was higher in Dominican Republic, by 191.6 nights, or 5.49 times that in Argentina.

nights a year · CMIP6

Argentina vs Dominican Republic: Tropical nightsTropical nights in 2014: 42.6 nights in Argentina and 234.2 nights in Dominican Republic, in the CMIP6 climate models’ median run. In 2014 the value was higher in Dominican Republic, by 191.6 nights, or 5.49 times that in Argentina.
ArgentinaDominican RepublicCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Dominican Republic 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 Dominican Republic at 302.5 nights in 2100.

Every year

nights a year · CMIP6

YearArgentinaDominican Republic
201442.6234.2
201341.8235.7
201241235.5
201141.5236.7
201040.8234.6
200941.6235
200841.4231.8
200739.6229
200639.3229.2
200540.1229.7
200440.6232
200338.7230.4
200240.2229.5
200139.5231
200039.5224.6
199938.4226.4
199838.8225.5
199738.5223.4
199637222.2
199535.7218.1
199434.7217.1
199334.3213.9
199233.4212.8
199136.8221.2
199036226.4
198937221
198836.9217.8
198736.1216.3
198636.4216.5
198536213.1
198434.7214.1
198335.2211.1
198235.7215.9
198137.3215.8
198036.3214.3
197937.5215.6
197835.7213.2
197735.1216.4
197635.7211.4
197534.8209.3
197435.4214.5
197334.1211.5
197235.5210.8
197134.7210.7
197034.9208.4
196933.4209.4
196834.6208.7
196733210.1
196634.3211.8
196532.2209.8
196430.3209.5
196332210.4
196235.2212.6
196135.6211.9
196035.6212.7
195934.5212.6
195833.3217.6
195735.7212.7
195635210.7
195534.4215.8
195433.6212.8
195335.8211.8
195234.4213.3
195135.4212.5
195033.9211
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaDominican Republic
201544.433.5–53.4242.6219.1–261.5
201643.532.4–53.4242.2217–258.5
201742.834.2–52.6244.6227.3–263.4
201842.632.7–52.6247.5231–263.3
201943.633.4–53.1245.2224.6–263.5
202045.735.5–57.2245.3228–262.5
202145.634.3–56.4250.3232.6–265.1
202244.633.3–56.4251.5233.8–272.2
202344.934.9–53.9250.6235–267.7
202445.834.2–57.5251.3231.8–270.8
202546.536–58.1253.9228.1–273.3
202647.936.7–57253.1232.7–280
202746.434.5–56.3253.4231.1–278.7
202846.133.5–58.5255.8235.4–280.4
202948.336–58.8256.2233.5–280.1
203047.835.4–60.3255.1236.3–276.5
203146.935.5–58.7260.3239.6–281.3
20324837.9–59.7264.6244.7–281
203347.436.7–57.6262.1239.6–279.3
203447.837.8–58.9260.9234.9–284.4
203547.339–59264.6239.5–283.4
203648.939.2–58.4263241.7–282.3
20375141.2–60.9268.4250–284.5
203848.737.9–59.7266.6244.4–289.3
203948.839.1–58.4265.2240.6–289
204050.440.4–62.3267.7248–289.2
204150.740.4–61.7267.4249.5–290.6
20425037.3–61.1269.3244.8–291.6
204350.340.5–61268244.5–292.9
20445240–65270.6245.2–294
204552.441.3–65.6271.2250.9–294
204651.941.2–62.7277.2250.8–294.2
204751.542–64272.8254–295.9
204854.542.6–65276.9253.8–296.7
204953.942.8–64.9278.7254.1–297.4
205052.543.6–62.4275.7249.8–303.1
205155.743.3–67.4274.7252.7–297.7
205255.642.2–67279.1254.7–299.3
205355.342.6–67.6279.3252.9–297.1
205454.743–66.7277.7254.3–304.6
205555.942.3–67.2280.2255.7–304.7
205657.642.8–68.6278.7255.6–303.1
205756.842.3–68.7283.5253.8–303.9
205854.841.5–68.1282.6256.3–307.6
205957.844.9–70.3285.8262.3–306.2
206056.943.4–67.9287.2260.8–307.5
206156.542.3–70.6286.3260.8–306.7
206257.345.8–68.5284.3256.1–307.8
206358.244.6–70.2288.8263.8–310.7
206458.845.8–71.5285.4260.9–309.4
206558.746–71.1283.6258.4–308.7
206659.947–68.9288.2262.5–311.3
206758.944.8–71.5288.6259.7–308.8
206857.844.3–70.3293.5263.4–314.4
206959.445.4–70.5288.4261.9–309.9
207061.348.2–74.3287.8261.6–309.6
207160.148.7–73.2289.4260.9–312.7
207260.146.7–73.7293.3261.4–315.5
207360.847.6–73.5294.2265.2–314.4
207460.447.6–73.7291.6269.3–315.2
207561.347.9–73.9291.3263.8–313.1
207661.146.8–75.8295.7264.7–314.8
207760.647.1–73.1294.9264.4–314.5
207863.449.4–75.6292269.9–316.9
207959.948.7–73294.1268.6–315.9
20806348.1–75.5293.7265.8–316.8
208161.448.7–73.5290.5267.4–317.8
208261.747.7–75295.3271.3–312.2
208362.148.2–75.6293.7271.8–315.8
208462.950.3–76298.2269.8–318.7
20856246.9–76.4297.9271.8–319.4
208662.749.4–76.4297.8274.7–320.6
208761.847.9–74.9296.5266.4–318.2
208864.450.8–77.5297.7272.9–320.4
208962.749.3–76.3299.7272.1–325.2
209064.152.5–77.1297.4273.6–320.1
209164.451.7–78.3298.2266.8–324.6
209265.650.8–78.3300.1272.7–323.6
209362.749.7–76.8294.8271.7–325.9
209463.950.1–78.5294.8274.3–322.3
209562.948.8–77.9297.7272.9–324.1
209664.749.4–78.9297.1274.6–324.9
209764.552.4–80.1299.7276.1–321.1
209865.652.7–78.7297.3269.6–326.5
209965.249.3–80.2301.5267.3–324.6
210065.250–81.7302.5270.1–322.9

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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