Argentina vs Honduras

Argentina vs Honduras: Tropical nights

Tropical nights in 2014: 42.6 nights in Argentina and 176.7 nights in Honduras, in the CMIP6 climate models’ median run. In 2014 the value was higher in Honduras, by 134.1 nights, or 4.14 times that in Argentina.

nights a year · CMIP6

Argentina vs Honduras: Tropical nightsTropical nights in 2014: 42.6 nights in Argentina and 176.7 nights in Honduras, in the CMIP6 climate models’ median run. In 2014 the value was higher in Honduras, by 134.1 nights, or 4.14 times that in Argentina.
ArgentinaHondurasCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Honduras 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 Honduras at 279.1 nights in 2100.

Every year

nights a year · CMIP6

YearArgentinaHonduras
201442.6176.7
201341.8181.1
201241181.4
201141.5180.5
201040.8176.9
200941.6174.4
200841.4170.5
200739.6171.8
200639.3171
200540.1171.6
200440.6174.2
200338.7170.2
200240.2169.1
200139.5168.2
200039.5164.8
199938.4162.2
199838.8163
199738.5160.4
199637154.7
199535.7152.5
199434.7151.9
199334.3149
199233.4145
199136.8156.7
199036162.1
198937153.8
198836.9151.1
198736.1151.9
198636.4151.3
198536146.1
198434.7147.5
198335.2143.7
198235.7148.4
198137.3150.9
198036.3147.8
197937.5148.9
197835.7146
197735.1148.6
197635.7145.5
197534.8141.8
197435.4146.8
197334.1145.1
197235.5140.4
197134.7141.1
197034.9140.6
196933.4142.2
196834.6141.9
196733138.4
196634.3139.9
196532.2138.1
196430.3138.4
196332136.8
196235.2144.2
196135.6145.5
196035.6146.1
195934.5143.3
195833.3147.6
195735.7144.5
195635143.8
195534.4146.3
195433.6144
195335.8143.2
195234.4143.6
195135.4145.5
195033.9143.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaHonduras
201544.433.5–53.4186.4151.3–215.3
201643.532.4–53.4185.7154.8–211.9
201742.834.2–52.6194.4164.9–215.2
201842.632.7–52.6190.6168.8–218.5
201943.633.4–53.1189161–221
202045.735.5–57.2196.8164.4–223
202145.634.3–56.4199.3176.3–226.8
202244.633.3–56.4202.9173–227.6
202344.934.9–53.9198.1175.2–230.1
202445.834.2–57.5204.7177.9–233.2
202546.536–58.1202.7173.9–230.8
202647.936.7–57206.8174–235.2
202746.434.5–56.3206.5177.9–235.7
202846.133.5–58.5211.3184–238.7
202948.336–58.8210.3185.4–244.5
203047.835.4–60.3208.9176.9–241.7
203146.935.5–58.7217.3187.1–246.4
20324837.9–59.7218.9194.5–247.9
203347.436.7–57.6213.3188.2–239.7
203447.837.8–58.9211.3186.1–248.7
203547.339–59215.3184.2–248.2
203648.939.2–58.4215.5194.1–242.5
20375141.2–60.9226.4202.4–251.6
203848.737.9–59.7228.9198.7–256.2
203948.839.1–58.4224.4196.6–256.2
204050.440.4–62.3225.1201–258
204150.740.4–61.7225.9203–251.8
20425037.3–61.1229.3200.2–262.8
204350.340.5–61224.4199–262.5
20445240–65224.8201.2–262.7
204552.441.3–65.6231206.1–262.3
204651.941.2–62.7236.9204.5–267.7
204751.542–64236.3213.3–269.3
204854.542.6–65241.2216.7–268.9
204953.942.8–64.9244.8213.5–270.7
205052.543.6–62.4241.1207.2–277.8
205155.743.3–67.4239.9210.5–270.2
205255.642.2–67245.1215.7–271.2
205355.342.6–67.6240.8211.7–277.5
205454.743–66.7243.9220.4–286.6
205555.942.3–67.2248.1220.1–282.1
205657.642.8–68.6245.6213.1–279
205756.842.3–68.7249.4214.2–279.1
205854.841.5–68.1248.4217.2–289.1
205957.844.9–70.3252.6220.5–283.1
206056.943.4–67.9256.8225.2–289.4
206156.542.3–70.6254.5220.4–285.9
206257.345.8–68.5252.8217.4–291.1
206358.244.6–70.2258.7226.2–288
206458.845.8–71.5252.1224.1–285.7
206558.746–71.1258.1226.9–288.9
206659.947–68.9256.4227.7–287.4
206758.944.8–71.5258.3228.2–294.9
206857.844.3–70.3264.6231.2–295
206959.445.4–70.5258.1229.3–292
207061.348.2–74.3256.9225.3–297.9
207160.148.7–73.2261.9231–292.9
207260.146.7–73.7267.3235.2–300.4
207360.847.6–73.5268.1233.7–304.7
207460.447.6–73.7263.7234.2–295.9
207561.347.9–73.9262.1229.5–295.4
207661.146.8–75.8266.8231.8–298.5
207760.647.1–73.1268.6232.1–298.8
207863.449.4–75.6270.1236.8–299.6
207959.948.7–73265.3229.5–304.2
20806348.1–75.5268.4230.2–304.2
208161.448.7–73.5268231.9–300.8
208261.747.7–75267.4230.2–301.8
208362.148.2–75.6268.3236.2–307.4
208462.950.3–76273.9235.2–307.1
20856246.9–76.4276.4234.2–305.9
208662.749.4–76.4267.9238.8–305.2
208761.847.9–74.9270.4233.7–301.8
208864.450.8–77.5277239.9–310.2
208962.749.3–76.3275.4246–309.8
209064.152.5–77.1275.3244.1–307
209164.451.7–78.3281.9240.6–310.6
209265.650.8–78.3277.1245.6–312.3
209362.749.7–76.8272.8244.2–311.6
209463.950.1–78.5274.9245.2–308.4
209562.948.8–77.9280.8244.6–313.5
209664.749.4–78.9275.2245.8–313.5
209764.552.4–80.1276247.2–305.4
209865.652.7–78.7278.9238.9–313.4
209965.249.3–80.2280.8240.6–312.8
210065.250–81.7279.1248.3–309.6

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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