Iran vs Pakistan

Iran vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 78.4 days in Iran and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 40.2 days, or 1.51 times that in Iran.

days a year · CMIP6

Iran vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 78.4 days in Iran and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 40.2 days, or 1.51 times that in Iran.
IranPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Pakistan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Iran at 110.7 days and Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearIranPakistan
201478.4118.6
201378.1117.5
201276.8117.5
201176.6118
201073.4114.3
200974.5115.3
200873.5115.4
200774112.5
200674.7112.9
200574.3114.9
200473.2116.1
200373114.6
200274.9115.9
200173.5114.4
200074114.6
199972.2114.2
199870.8111.7
199771112
199670.2108.3
199568.6110
199466.8108.6
199364.6107.2
199263105.2
199168.9110.6
199070.1110.7
198969.1110.9
198868.4109.8
198767.4108.3
198666.9108.7
198566.7105.6
198466.4108
198362104.7
198265.7108
198168.3109.5
198067.1109.7
197968.2108.7
197865.1108.6
197764.8106.5
197665.3108.2
197564.3105
197463.7108.8
197363.7108
197264.7104.5
197163106.2
197062.2106.5
196963.2105.8
196863.7104.4
196764.6106.4
196664.1106.4
196563.3106
196462.2103
196364.1104.3
196265.5106.7
196166.3108.7
196065.8108.7
195964.3110.4
195866.2108.5
195766110.7
195663.8108.8
195564.3108.3
195465.4107
195365107.6
195266.4108.9
195165.5108.1
195066.6110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIranPakistan
201581.369.5–93.3122100.8–136.6
201681.970.3–93119.5104.9–132
201781.367.6–92.1119.999.5–134.3
201880.569–93.6119.7103–133.8
201982.370.5–92.9118.997.2–133.8
202083.472.3–96.2122.8105–136.3
202182.971.4–96.3122.9103.2–138.2
202282.672–95.7120.7101.9–136.4
202386.571–98.9123.3104.8–138.8
202484.771.6–98.3124.4105.4–139.1
202586.574.4–98.2123.8102.8–139.1
202685.773.5–99.3122.5101.9–141.8
202787.175–98.9124.4101.5–141
202886.871.2–100124.8103.6–140.2
202985.773–97.6126.499.2–141.6
203087.375.5–100.7122.5103.5–140.1
203188.674.7–102.5122.7105.6–139.9
203288.875.2–102.3126104–143.9
20339076–104.7125.9106.6–144.1
203492.777.2–106.2130.9113.2–147.8
203591.377.9–105.2127.1107.6–143.6
203690.277.4–103.2125.5108.3–143.4
203792.779.2–107.3130.7112.4–147.9
203892.778.9–104.8130.9108.6–144.9
20399278.6–105.8128.6110.2–144.9
204092.779.2–106.8133.2115.1–146.1
204191.677.9–103.9127.2108.3–143.5
204295.780.4–108.4134.6112.8–150.7
204393.178.7–107.6131.6112.5–149.3
204493.180–107.2128.2108.1–145.9
204596.981.4–111.2133.4116.7–148.7
204695.182.6–108.4133.8109–151.1
204797.584.1–111.8134.6110–150.9
204897.585–110.1136117.1–152.3
204997.882–111.6133.3115.2–152.5
205099.885.2–113.3138.4119.4–157.4
205199.883.5–112.1138115.5–158.2
205299.383.9–113.9138.3120.3–155.3
20539883.4–111.8137.4117.7–155.8
20549983.2–112.3137116–152.4
2055102.486.9–116.3139.6120–157.2
205610086.2–114.2135.8117.3–154.1
2057101.688.8–116.5141.5119.5–158.8
2058101.885.4–117137.1114.3–154.7
20599985.4–111.1141.4122.6–156.6
2060103.488.2–117.6142.5124.1–158.6
2061103.487.5–116.8142.3123.2–157.4
2062101.885.5–118.1141.3118.8–161.2
2063104.489.9–118.3143.1125.6–160.6
2064102.788.3–118.1140.7119.8–163.5
2065103.888.1–119.2141.1121.5–159.3
2066104.790.8–119.2143.8122.5–163.4
2067106.888.7–121.8144.2125.9–162.3
206810689.2–118.7143.2126–162.2
2069105.889–120.4144.7119.8–163.2
2070105.391.5–120.2143.7126.5–163
207110791.4–122.7145.5121.8–164.4
2072106.487–122.7147.1125.5–165.1
2073107.990.9–125149.2122.1–164.7
2074106.691.1–121.4145.8126.7–162.2
2075106.492.1–121145.1126.2–160.5
2076105.689.3–125.6145.7126.4–165.9
2077107.389.9–121.9146.1126.2–164.4
2078105.791.4–123.3146.5121.4–164.4
2079106.290.6–122144.6122.7–161
2080107.593.1–126.4148.2123.7–166.4
2081107.991.3–125.2145.8122.2–167
2082109.294–124.3146123.3–168.8
2083110.292.8–126.8148.3127–167.4
2084109.895.4–124.3150.5128.5–167.6
2085107.593.5–125.4149.9126.1–170.8
2086109.693.4–125.6146.3124.2–165
2087111.295.2–125.7149.9124.3–167.3
2088112.494.1–127149.3127.9–169.7
208911196.6–126.2148.9129.6–166.7
2090110.192.6–128150.3131.5–166.7
2091110.694.3–127151.1128.4–168.7
2092113.596.8–128.3150.5129.8–170.2
2093111.896.7–124.7151.6131.8–167.9
2094112.595.8–128.9151.5130.4–168.6
2095111.694.6–127152.5130.6–169.2
2096112.595–128.5150.8124.2–169
2097110.392.6–127.1149.4130.3–167.5
2098111.595.6–128.1151.7125.4–168.2
2099110.694–127.5151.6124.4–170.6
2100110.793.4–130.1147.6125.2–167.5

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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