Israel vs Pakistan

Israel vs Pakistan: Tropical nights

Tropical nights in 2014: 97.9 nights in Israel and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 52 nights, or 1.53 times that in Israel.

nights a year · CMIP6

Israel vs Pakistan: Tropical nightsTropical nights in 2014: 97.9 nights in Israel and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 52 nights, or 1.53 times that in Israel.
IsraelPakistanCMIP6 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 Israel at 149.4 nights and Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

YearIsraelPakistan
201497.9149.9
201398149.1
201296.3149.9
201196.1149
201095.5148.4
200992.5147.1
200894.1147.4
200792.7147.3
200692146.7
200592.3146.5
200490.7147.5
200393.9146
200289.5148.3
200191145.4
200089.5144.7
199986.2146.9
199884.8144.8
199784.2143.2
199683.7141.2
199579.3141.8
199480.1142.1
199371.6140.4
199274.9139.9
199178.4142.5
199080.2142.6
198976.9142.5
198876.5140.3
198775.1140
198678.3140
198574140
198469.4138.9
198368.9136.3
198273.5138.5
198173.5141.5
198075.3139.5
197968.7139.1
197871.6139
197772.3138.6
197673.2139.2
197570.9136.5
197472.5138.7
197371.9137.8
197269.9137.4
197173.1136
197071.6137.7
196970.6135.9
196869.6136.6
196766.9135.2
196668.8136.9
196563.5138.3
196466.1135.1
196370.9135.7
196273137
196171.5138.6
196074.9139
195975138.6
195873137.7
195774.8140
195674.3137.8
195572.8137.5
195471.4137.8
195373.7136.9
195272138.1
195175.1136.7
195069.5139.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIsraelPakistan
2015105.988.4–122.7152.4138.7–163.3
2016104.186.9–120.1150.6139.4–161.7
2017107.892.2–121.4151.3138.8–162
201810993.8–124.2152.6139.8–161.8
201910989.1–124.5151.8138.1–163.3
2020111.594.8–123.5153.1140.3–164.5
202111097.7–128.4154.1140.6–165.7
2022111.493.6–130.2153.1140.2–165.7
2023117.297.9–130.5155.5141.6–165.9
2024114.5100.4–127.3156.8143.3–168.7
2025116.698.3–129.2155.7141.5–168.6
2026115.9104.9–126.2155.3142.2–167.9
2027115.699–127.1156.8140.9–168.9
2028116.3100.2–127.9156.5143.9–167.6
2029117103.1–129.2155.9141.5–167.7
2030118.6102.1–131.2156.3143.3–167.6
2031116.8104.4–132.8157.3144.4–168.1
2032121.4106.5–134.7157.4142.5–169.6
2033122.1108.9–134.7157.7143.6–169.4
2034119.7103.1–133.4159.5145.6–173.4
2035122.8105.8–138.8159.3146.7–170.3
2036120.2105.5–136.2159.1147.5–171.4
2037121.6106.3–139.4162.2147.5–175.3
2038126.5105.7–142.1161.4148.6–171.7
2039127.7110.5–147.1160148.2–170.4
2040124.2109.7–144.9160.9147.9–171.3
2041126108.4–141.5160.8146.7–171.7
2042128.5105.8–144.3162.3149.9–175.6
2043126.5111.8–144.3161.1150.3–173.8
2044125.9108.5–142.9163150.9–173.9
2045130.9117.5–148.6163149.5–174.8
2046131114.4–147.2163.5149.8–177.2
2047132.3116.1–145.4165.2151.8–178.5
2048129.9118.5–146.9166.4154.1–179.4
2049127.9108.7–143.9165150.8–178.2
2050133.3114.3–147166.9153.5–179.3
2051130.3116.7–143.9165.6150.8–180
2052130.3119.9–143.5166.7155.4–179.5
2053135120.4–149.7166.3154.2–178.8
2054134.1118.8–149.3167.5153.9–181
2055134.1115.2–150.3167.8155.8–182.5
2056136110.1–151.1166.3153.6–179.7
2057132.7110.9–155168.3153.9–182.3
2058135.7119.1–155.4167.5157–179.9
2059138.8118.5–156.7170.9155.9–183.8
2060136.1116.3–159.2170.3156.5–181.8
2061136119–150.7168.8156.8–179.6
2062139118.7–156171.6153.5–186.5
2063137.4120.1–151.2171.3159.5–183.8
2064139.3121–154.3170.2155.3–184.5
2065139.6122.3–154.3169.7156.4–185
2066137.3119.6–153.7172.2157–186.7
2067142.8126–157.8173.2160.2–186.3
2068141.2122.8–156.4172.6157.7–186.3
2069141.5123.7–157.6171.8157.3–185.6
2070141.8120.5–157.5171.7158.9–186.7
2071142.9124.3–161.8173.4158.7–186.8
2072144.3127–158.5174161.5–186.9
2073143.6127.3–159.2175.6157.2–187.9
2074138.8123–162.2173.5160–186.3
2075138.1120.8–154.6173161.5–187.8
2076143.2126.8–161.5172.9158.8–186.7
2077142.8120.5–161.6175161.3–187.8
2078143.6128.2–160.6174.4160.9–189.3
2079148.6123.7–160.2172.5158.3–187.7
2080145.5123.5–163.7175.1160.7–189.2
2081143.7128.1–161.2174.9159.2–190.2
2082145.8129.5–160.6175.4161.8–190.6
2083149.4126–163.1176.5161.8–190.8
2084148128.2–164176.1160.9–190.5
2085149127.9–162.4176.3161.9–193.6
2086148127.4–167.1173.9160–189.1
2087146.4123.7–165.7176161–193.1
2088147.6133.5–165.3175.4160.5–195.2
2089148.4131.4–169.1177.2164.2–191.7
2090147.6132.4–168.8177.7163.9–192.2
2091151.9131.7–170.6177.8162.8–192.2
2092148.2132–167.4178.7162.9–192.9
2093154.1135.3–172.2177164–191
2094153.2133.6–170.3176.8164.1–190.7
2095148.2131.4–164.1178.6163.8–193.1
2096150.5130.5–172.6177.8163.7–192.5
2097149.8134.4–172.7177.3160.4–192.5
2098150.9131.3–170.1178.7162.6–195.7
2099149.5129–166.6176159.9–193.2
2100149.4130.1–168.5177.6162.2–193

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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