Argentina vs Peru

Argentina vs Peru: Days above 35 °C

Days above 35 °C in 2014: 13.5 days in Argentina and 0.5 days in Peru, in the CMIP6 climate models’ median run. In 2014 the value was higher in Argentina, by 12.9 days, or 25 times that in Peru.

Watch it change on the map

days a year · CMIP6

Argentina vs Peru: Days above 35 °CDays above 35 °C in 2014: 13.5 days in Argentina and 0.5 days in Peru, in the CMIP6 climate models’ median run. In 2014 the value was higher in Argentina, by 12.9 days, or 25 times that in Peru.
ArgentinaPeruCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Argentina 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 27.2 days and Peru at 18.6 days in 2100.

Every year

days a year · CMIP6

YearArgentinaPeru
201413.50.5
201313.20.6
201214.10.6
201113.30.6
201013.10.2
200912.60.2
200812.40.2
200711.70.2
200611.30.1
200511.50.1
2004120.2
200311.20.2
200212.70.1
200112.70.2
200010.90.1
1999110
199811.30.1
199712.80.1
199611.60
19959.60
19949.20
19939.10
199290
19919.60.1
19908.80.1
198910.90
198810.50
198710.50
198610.40
198510.70
19849.60
19839.60
19829.50
198110.90
198010.80
197911.20
197810.60
19779.70
197610.40
19759.50
197410.50
197390
19729.70
19719.20
19709.90
19699.40
196890
19678.60
19669.90
19658.90
19647.10
19638.80
1962110
196110.20
196011.10
195910.50
19589.60
195710.70
195610.60
19559.80
19549.60
195310.90
195210.70
195110.50
19509.40
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaPeru
201514.78.1–22.20.40–3.3
201613.66.8–220.50–2.9
201714.26.9–22.40.60–3.5
201813.35.6–21.60.60–4.3
201914.56.9–230.50–4
202015.88.4–24.80.70–4.5
202115.38–24.61.10.1–5.8
202213.36.7–22.21.10–5.1
202314.99.3–22.11.20.1–7.7
202415.87.6–241.50.2–5.9
202516.410.2–23.41.30–9.9
2026189.4–26.510–6.4
202716.49.1–26.21.90.1–8.8
202815.67.6–26.51.40.1–9.2
202915.97.3–26.31.80.2–9.8
203016.39.8–27.41.80.1–10.8
203115.88.1–24.92.80.2–11.9
203215.78.9–25.42.50.3–9.3
203316.18.4–25.71.80.2–8
203416.110.4–24.92.50.4–13.7
203516.810.2–27.520.2–10.5
203618.310.9–27.91.80.2–9.1
203718.310.2–27.33.20.4–11.3
203816.89.1–24.73.10.3–10.4
203917.39–25.83.10.3–13.9
204018.311.3–28.32.70.3–15.1
204119.310.7–29.34.10.7–13.2
2042189.9–27.130.3–14.1
2043189.5–27.530.2–19.9
204419.49.7–30.23.10.2–16.6
204520.511.8–30.13.60.7–16.7
204619.612–28.261.3–19.8
204719.78.9–31.350.4–13.7
204819.610.8–28.66.60.8–22.7
204920.411.6–30.76.10.6–20.9
205019.910.4–28.44.20.6–19.1
205120.511.5–30.86.20.7–22.1
205221.610.9–33.47.41.2–21.4
205320.411.3–30.25.21.2–18.7
205419.712–31.950.4–21.9
205521.310.1–34.16.11.2–28.8
205620.510.5–32.46.71–29
205721.711.5–34.75.20.7–20
205821.312.4–33.281.6–34.1
205921.612.4–32.710.61.8–28.7
20602211.2–33.310.41.5–27.8
20612310.8–34.910.40.6–31.4
20622212.1–32.710.70.9–33.8
206324.114–33.88.61.8–27.7
206424.115.3–39.27.51.9–26
206523.712.7–34.99.92.8–28.5
206624.715.7–35.18.81.7–24.9
206724.912.6–378.51.1–26.1
206823.712.3–36.391.5–29.3
20692514–35.59.41.4–31.9
207024.413.3–37.110.72–36.9
207123.913.1–36.813.52.2–33.3
207223.814.5–38.912.41.4–40
207325.314.6–39.1152.4–39.6
207424.511.6–36.913.31.8–37.3
207525.312.9–38.613.61.2–37.5
207623.713.4–36.312.41.7–37.5
207724.615.3–36.412.32.6–35.9
207826.213.8–39.413.22–40.8
207923.913.4–36.812.72.1–34.8
208025.413.8–40.815.53.5–39
20812514.2–38153.7–39.8
20822413.3–36.312.12.3–31.5
208325.415–39.213.81.8–45.2
208422.512.1–3615.41.7–44.9
208523.412.2–36.217.42.5–49.2
208625.214–39.113.82.4–51.5
20872614.4–37.215.22.3–45.5
208826.214.9–40.219.32.2–51
208927.315.3–38.215.52.5–52.1
209027.115.8–41.5154.3–42.7
209128.315.4–42.516.12.7–47.4
209229.316–42182–49.3
20932615.1–44.614.32.4–54.2
209427.714.9–41153.1–38.1
209526.713.8–43.119.52.7–45.4
209627.114.5–42.218.33.4–48.4
20972715.3–41.119.22.9–48.7
209826.715.9–42.2183.2–63.3
209927.615.3–4116.73.3–44
210027.214.1–45.418.62.4–41.8

Each country on its own

Good to know

  • Days in a year whose highest temperature passes 35 °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.

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