Morocco vs Pakistan: Tropical nights

Tropical nights in 2014: 59.6 nights in Morocco and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 90.3 nights, or 2.51 times that in Morocco.

Watch it change on the map

nights a year · CMIP6

MoroccoPakistanCMIP6 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 Morocco at 103.8 nights and Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

Year	Morocco	Pakistan
2014	59.6	149.9
2013	60.7	149.1
2012	58.8	149.9
2011	58.4	149
2010	56.7	148.4
2009	58.6	147.1
2008	58.5	147.4
2007	54.8	147.3
2006	57.5	146.7
2005	56.9	146.5
2004	56.1	147.5
2003	54.6	146
2002	55.5	148.3
2001	56.4	145.4
2000	52.8	144.7
1999	53.6	146.9
1998	51.9	144.8
1997	51.2	143.2
1996	50.4	141.2
1995	48	141.8
1994	47.9	142.1
1993	44.6	140.4
1992	40.6	139.9
1991	48.7	142.5
1990	52.5	142.6
1989	48.3	142.5
1988	48.8	140.3
1987	47.3	140
1986	43.6	140
1985	43.5	140
1984	43.6	138.9
1983	42.1	136.3
1982	43.7	138.5
1981	43.6	141.5
1980	42.9	139.5
1979	45.9	139.1
1978	44	139
1977	45	138.6
1976	40.1	139.2
1975	42.5	136.5
1974	42	138.7
1973	43.5	137.8
1972	42.2	137.4
1971	40.7	136
1970	41.3	137.7
1969	40.7	135.9
1968	42	136.6
1967	41.1	135.2
1966	40.5	136.9
1965	39.4	138.3
1964	42.5	135.1
1963	41.7	135.7
1962	43.1	137
1961	42.7	138.6
1960	43	139
1959	43.3	138.6
1958	42.7	137.7
1957	42	140
1956	43.8	137.8
1955	45.5	137.5
1954	42.3	137.8
1953	42.8	136.9
1952	43.8	138.1
1951	44.1	136.7
1950	45.1	139.1

CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100

Year	Morocco	Pakistan
2015	62.147.1–77	152.4138.7–163.3
2016	62.747.4–77.9	150.6139.4–161.7
2017	63.749–78.1	151.3138.8–162
2018	64.449.6–80.6	152.6139.8–161.8
2019	67.950.6–82.7	151.8138.1–163.3
2020	65.649.2–82	153.1140.3–164.5
2021	66.351–84.5	154.1140.6–165.7
2022	70.554.8–87.8	153.1140.2–165.7
2023	67.653.2–82.4	155.5141.6–165.9
2024	70.456.5–85.5	156.8143.3–168.7
2025	68.652.1–87	155.7141.5–168.6
2026	68.754.7–84.2	155.3142.2–167.9
2027	72.957.6–88.1	156.8140.9–168.9
2028	73.253.6–89.6	156.5143.9–167.6
2029	70.754.6–90.5	155.9141.5–167.7
2030	71.453.4–86	156.3143.3–167.6
2031	73.354.3–89.9	157.3144.4–168.1
2032	74.160–88.7	157.4142.5–169.6
2033	73.857.6–88.9	157.7143.6–169.4
2034	77.761–94.3	159.5145.6–173.4
2035	75.857.8–92.8	159.3146.7–170.3
2036	75.660.5–91.7	159.1147.5–171.4
2037	76.458–94.8	162.2147.5–175.3
2038	77.962.2–97.3	161.4148.6–171.7
2039	78.262.7–94.7	160148.2–170.4
2040	73.957.1–97.5	160.9147.9–171.3
2041	76.560.4–90.6	160.8146.7–171.7
2042	78.663.1–96.4	162.3149.9–175.6
2043	80.161.4–96.9	161.1150.3–173.8
2044	79.362.3–96.1	163150.9–173.9
2045	82.265.9–98.5	163149.5–174.8
2046	82.260.8–98.7	163.5149.8–177.2
2047	83.963.8–101	165.2151.8–178.5
2048	82.667.6–99.2	166.4154.1–179.4
2049	85.366.9–101.9	165150.8–178.2
2050	85.368.4–104.6	166.9153.5–179.3
2051	84.366.5–103.5	165.6150.8–180
2052	86.164.4–105.4	166.7155.4–179.5
2053	84.165.5–106.1	166.3154.2–178.8
2054	84.764.8–103.4	167.5153.9–181
2055	87.769.1–104.2	167.8155.8–182.5
2056	88.369.2–104.6	166.3153.6–179.7
2057	8971.1–108.8	168.3153.9–182.3
2058	87.368.2–106.5	167.5157–179.9
2059	87.169.2–108.1	170.9155.9–183.8
2060	90.873.5–108.9	170.3156.5–181.8
2061	9274.9–111.9	168.8156.8–179.6
2062	87.868.3–110.2	171.6153.5–186.5
2063	95.174.5–114.4	171.3159.5–183.8
2064	88.969.9–113.6	170.2155.3–184.5
2065	91.270.6–112.5	169.7156.4–185
2066	94.275.6–115.8	172.2157–186.7
2067	91.273.1–113.3	173.2160.2–186.3
2068	93.573.6–114.5	172.6157.7–186.3
2069	95.873.9–113.3	171.8157.3–185.6
2070	9677.9–115.5	171.7158.9–186.7
2071	93.977.5–115.9	173.4158.7–186.8
2072	95.974.8–115.6	174161.5–186.9
2073	96.277.3–119.2	175.6157.2–187.9
2074	97.377.3–117	173.5160–186.3
2075	94.972.5–115.4	173161.5–187.8
2076	97.575.2–117.6	172.9158.8–186.7
2077	97.773.1–119.7	175161.3–187.8
2078	98.678.4–118.2	174.4160.9–189.3
2079	97.376.8–118.8	172.5158.3–187.7
2080	97.374.3–117.5	175.1160.7–189.2
2081	96.974.9–120.1	174.9159.2–190.2
2082	98.678.3–115.8	175.4161.8–190.6
2083	101.378.9–120.3	176.5161.8–190.8
2084	99.577.9–119.5	176.1160.9–190.5
2085	100.778.1–126.4	176.3161.9–193.6
2086	101.576.9–123.5	173.9160–189.1
2087	101.280.6–126.2	176161–193.1
2088	103.379–126	175.4160.5–195.2
2089	101.581.2–123	177.2164.2–191.7
2090	102.982.6–122.1	177.7163.9–192.2
2091	103.378.7–124.2	177.8162.8–192.2
2092	101.981.8–120.9	178.7162.9–192.9
2093	100.480.6–121.2	177164–191
2094	103.977.9–123.4	176.8164.1–190.7
2095	103.380.5–126	178.6163.8–193.1
2096	105.378.9–125.5	177.8163.7–192.5
2097	104.984–123.6	177.3160.4–192.5
2098	103.776.7–126.2	178.7162.6–195.7
2099	105.283.3–128.4	176159.9–193.2
2100	103.880.4–125.6	177.6162.2–193

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

Morocco vs Pakistan: Tropical nights

What the numbers say

Every year

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