Iran vs Myanmar (Burma)

Iran vs Myanmar (Burma): Days above 35 °C

Days above 35 °C in 2014: 78.4 days in Iran and 28.8 days in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 49.6 days, or 2.72 times that in Myanmar (Burma).

days a year · CMIP6

Iran vs Myanmar (Burma): Days above 35 °CDays above 35 °C in 2014: 78.4 days in Iran and 28.8 days in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Iran, by 49.6 days, or 2.72 times that in Myanmar (Burma).
IranMyanmar (Burma)CMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Iran 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 Myanmar (Burma) at 57 days in 2100.

Every year

days a year · CMIP6

YearIranMyanmar (Burma)
201478.428.8
201378.128
201276.827.5
201176.627.4
201073.427.9
200974.527.3
200873.527.2
20077425.4
200674.726.8
200574.325
200473.228.3
20037326.4
200274.927.4
200173.528.4
20007426.6
199972.226.1
199870.826.4
19977126.2
199670.224.7
199568.625.5
199466.824.3
199364.623.9
19926320.5
199168.928.4
199070.126.3
198969.123.8
198868.423.9
198767.425.4
198666.926.6
198566.723.6
198466.425.8
19836223.2
198265.724
198168.323.8
198067.123.5
197968.225.3
197865.123.4
197764.824.1
197665.325.6
197564.322.3
197463.724.1
197363.725.9
197264.723.1
19716322.8
197062.224.2
196963.223.6
196863.723.4
196764.624.1
196664.123.1
196563.323.3
196462.221.7
196364.123.2
196265.524.4
196166.324.9
196065.826.2
195964.322.6
195866.225
19576624.1
195663.825
195564.324.5
195465.425.3
19536523.5
195266.426.1
195165.525
195066.623.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIranMyanmar (Burma)
201581.369.5–93.328.518.5–40
201681.970.3–9327.717.3–38.7
201781.367.6–92.12818.9–38.5
201880.569–93.629.818.6–41.2
201982.370.5–92.928.218.2–41.3
202083.472.3–96.228.616.8–41.4
202182.971.4–96.329.719.4–40.8
202282.672–95.731.521.7–42.7
202386.571–98.930.319.9–41.6
202484.771.6–98.331.720.1–43.7
202586.574.4–98.232.721.3–44.8
202685.773.5–99.330.420.3–44.5
202787.175–98.930.620.4–44.2
202886.871.2–10031.119–43
202985.773–97.632.720.9–46.4
203087.375.5–100.732.619.3–45
203188.674.7–102.532.721.3–45.2
203288.875.2–102.332.119.6–45.4
20339076–104.733.322–43.8
203492.777.2–106.231.322–43.5
203591.377.9–105.232.620.4–49
203690.277.4–103.233.322.7–46.1
203792.779.2–107.334.322.6–49.1
203892.778.9–104.835.824.4–49.9
20399278.6–105.834.920.9–49
204092.779.2–106.83419.2–51.2
204191.677.9–103.93724.8–51.9
204295.780.4–108.436.223–49.9
204393.178.7–107.634.522.6–47.7
204493.180–107.238.222.1–51.2
204596.981.4–111.235.924.2–50.7
204695.182.6–108.438.425.2–57.1
204797.584.1–111.838.824.1–56.1
204897.585–110.140.323.4–58.7
204997.882–111.640.625.2–58.1
205099.885.2–113.340.226.5–55.3
205199.883.5–112.141.726.7–56.8
205299.383.9–113.940.326.3–61.2
20539883.4–111.841.323.6–61.5
20549983.2–112.342.426.8–60.9
2055102.486.9–116.341.428.5–61.9
205610086.2–114.242.726.5–63
2057101.688.8–116.543.226.3–63.2
2058101.885.4–11744.526.8–63.6
20599985.4–111.143.729.1–65.3
2060103.488.2–117.647.428.3–66
2061103.487.5–116.846.729.5–64.5
2062101.885.5–118.147.126.7–68.6
2063104.489.9–118.346.929–66.4
2064102.788.3–118.147.527.9–66.1
2065103.888.1–119.242.427.5–62.4
2066104.790.8–119.246.228.9–68.8
2067106.888.7–121.84125.7–63.6
206810689.2–118.746.928–70.4
2069105.889–120.448.729.3–70.1
2070105.391.5–120.243.927.5–64.3
207110791.4–122.74926.2–71.9
2072106.487–122.74730.6–71.4
2073107.990.9–12550.732.2–74
2074106.691.1–121.44829.2–74
2075106.492.1–12149.126.1–68.9
2076105.689.3–125.647.826.5–72.8
2077107.389.9–121.951.832.9–76.1
2078105.791.4–123.350.632.4–75.6
2079106.290.6–12250.730.5–77
2080107.593.1–126.453.331.3–79.5
2081107.991.3–125.25235.5–79.1
2082109.294–124.352.532.5–76.8
2083110.292.8–126.851.730.5–79.6
2084109.895.4–124.352.329.5–76
2085107.593.5–125.451.232.9–79.4
2086109.693.4–125.652.632.5–80.1
2087111.295.2–125.751.732.6–77.9
2088112.494.1–12750.727.2–88.8
208911196.6–126.252.731.4–86.3
2090110.192.6–12854.231.1–80.1
2091110.694.3–12753.235.4–80.1
2092113.596.8–128.354.135.4–85.5
2093111.896.7–124.75235.6–85
2094112.595.8–128.954.434.9–80.7
2095111.694.6–12758.535.1–84.3
2096112.595–128.552.832.3–84.1
2097110.392.6–127.153.230.4–82.8
2098111.595.6–128.155.334.4–83.8
2099110.694–127.555.233.1–84.7
2100110.793.4–130.15734.6–84

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

Iran vs Myanmar (Burma)

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