Argentina vs India

Argentina vs India: Days above 35 °C

Days above 35 °C in 2014: 13.5 days in Argentina and 80.6 days in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 67.2 days, or 5.99 times that in Argentina.

days a year · CMIP6

Argentina vs India: Days above 35 °CDays above 35 °C in 2014: 13.5 days in Argentina and 80.6 days in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 67.2 days, or 5.99 times that in Argentina.
ArgentinaIndiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • India 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 India at 111.9 days in 2100.

Every year

days a year · CMIP6

YearArgentinaIndia
201413.580.6
201313.279.2
201214.181.3
201113.379.9
201013.180.8
200912.678.4
200812.477
200711.779
200611.376.2
200511.579.9
20041280.1
200311.276.9
200212.779.2
200112.780.1
200010.976.6
19991177.1
199811.376.9
199712.875.4
199611.672.1
19959.675.4
19949.276.3
19939.172.3
1992968.7
19919.678.1
19908.876.7
198910.975.5
198810.573.9
198710.575.3
198610.476.8
198510.773
19849.675.9
19839.674.1
19829.576.1
198110.976.3
198010.875.3
197911.274.4
197810.674.4
19779.774.6
197610.476
19759.571
197410.575.8
1973977.9
19729.771.1
19719.274.1
19709.973.7
19699.473.3
1968972.2
19678.671.3
19669.975.3
19658.973.7
19647.168.9
19638.870.4
19621174.2
196110.275.4
196011.175.4
195910.577.9
19589.674.8
195710.775.5
195610.675.6
19559.874.8
19549.675.3
195310.975.2
195210.776
195110.576.3
19509.476.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaIndia
201514.78.1–22.281.664.7–96
201613.66.8–228063.1–96.1
201714.26.9–22.479.461.7–95.3
201813.35.6–21.682.461.5–95.7
201914.56.9–2379.160.2–95.2
202015.88.4–24.882.262.4–99
202115.38–24.682.167.7–96.4
202213.36.7–22.283.962.8–100.3
202314.99.3–22.183.164–99.3
202415.87.6–2484.766.4–100.3
202516.410.2–23.481.662.4–97.1
2026189.4–26.584.866.1–101.3
202716.49.1–26.283.563.7–102
202815.67.6–26.582.862.9–99.9
202915.97.3–26.389.566–105.9
203016.39.8–27.484.265.7–100.2
203115.88.1–24.985.466.7–103.4
203215.78.9–25.485.665.5–105.3
203316.18.4–25.783.865.8–99.8
203416.110.4–24.985.467.4–104.8
203516.810.2–27.585.766.6–105.3
203618.310.9–27.984.565.5–101.8
203718.310.2–27.389.772.2–107.5
203816.89.1–24.790.269.1–107.1
203917.39–25.887.168.5–107.4
204018.311.3–28.387.566.6–106
204119.310.7–29.389.171.2–107.8
2042189.9–27.195.475.7–112.9
2043189.5–27.591.270.1–111.1
204419.49.7–30.290.471.6–110.9
204520.511.8–30.191.772–108.5
204619.612–28.295.469.1–117
204719.78.9–31.394.272.6–113.5
204819.610.8–28.697.673.2–120.5
204920.411.6–30.795.173.8–117.5
205019.910.4–28.494.474.5–117
205120.511.5–30.894.775.8–114.7
205221.610.9–33.496.876.1–116.5
205320.411.3–30.294.673.9–116.7
205419.712–31.996.574.3–117
205521.310.1–34.199.175.7–118
205620.510.5–32.499.173.7–118.2
205721.711.5–34.7100.371.9–123.9
205821.312.4–33.297.775.1–121.5
205921.612.4–32.7102.380.5–127.4
20602211.2–33.310380.3–124.4
20612310.8–34.9100.978.4–122.6
20622212.1–32.7100.175.4–126.5
206324.114–33.8100.678.3–122.1
206424.115.3–39.210081–123.3
206523.712.7–34.9103.580.5–128.2
206624.715.7–35.1100.780.7–124.6
206724.912.6–3799.678.4–126
206823.712.3–36.3102.780.1–130.1
20692514–35.510477.5–128.1
207024.413.3–37.1101.179.7–125.6
207123.913.1–36.8105.581.4–132.1
207223.814.5–38.9104.384.4–128.2
207325.314.6–39.1108.485.4–130
207424.511.6–36.9105.182.9–126.8
207525.312.9–38.6102.578.8–126
207623.713.4–36.3105.582.2–134.6
207724.615.3–36.4107.484.1–132.6
207826.213.8–39.4107.382.8–127.7
207923.913.4–36.8105.379.7–127.2
208025.413.8–40.8109.784.5–135.9
20812514.2–38108.986.2–134.4
20822413.3–36.3105.783.4–133.6
208325.415–39.2110.287.8–135.8
208422.512.1–36111.582.3–138.1
208523.412.2–36.2112.381.2–143.6
208625.214–39.1107.882.8–141.1
20872614.4–37.2107.980.1–134
208826.214.9–40.2107.984.4–143.1
208927.315.3–38.2107.981.7–137.3
209027.115.8–41.5108.883.9–136.6
209128.315.4–42.5113.486.9–144
209229.316–42113.587.1–142.8
20932615.1–44.6108.482.7–144.8
209427.714.9–41111.386.8–139.5
209526.713.8–43.1114.186.4–143.6
209627.114.5–42.210880.4–140.3
20972715.3–41.1110.385–137.8
209826.715.9–42.2113.687.7–141.1
209927.615.3–41112.585.3–137.7
210027.214.1–45.4111.986.8–138.7

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.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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