Italy vs San Marino: Tropical nights

Tropical nights in 2014: 26.3 nights in Italy and 48 nights in San Marino, in the CMIP6 climate models’ median run. In 2014 the value was higher in San Marino, by 21.7 nights, or 1.83 times that in Italy.

Watch it change on the map

nights a year · CMIP6

ItalySan MarinoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

San Marino has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Italy at 65.1 nights and San Marino at 97 nights in 2100.

Every year

nights a year · CMIP6

Year	Italy	San Marino
2014	26.3	48
2013	24.7	43
2012	24.8	46
2011	24.6	49
2010	27.1	52
2009	23.7	43
2008	24.1	44
2007	21.5	40
2006	24.6	47
2005	22.5	41
2004	24.5	46
2003	23.8	45
2002	20.6	39
2001	20.8	36
2000	21.7	41
1999	20.3	35
1998	18.9	31
1997	18.9	35
1996	18.9	30
1995	17.9	30
1994	17.4	30
1993	16.3	30
1992	15.1	24
1991	18	29
1990	18.2	32
1989	16.6	27
1988	15.5	26
1987	16	29
1986	15	25
1985	14.5	21
1984	15.7	28
1983	15.3	24
1982	14.1	22
1981	15.3	26
1980	15.9	27
1979	14.5	17
1978	16.5	30
1977	13.5	19
1976	13.8	23
1975	14	19
1974	14.8	25
1973	13.5	22
1972	13.7	21
1971	15.3	27
1970	14	22
1969	14.5	24
1968	13.8	21
1967	13.6	19
1966	13.2	21
1965	12.8	18
1964	13.2	25
1963	14.2	18
1962	15.5	22
1961	13.9	18
1960	14.9	23
1959	16.6	30
1958	14.4	21
1957	15.5	27
1956	16.7	27
1955	16.6	31
1954	15.7	28
1953	15.4	25
1952	16.6	31
1951	16	29
1950	15.3	24

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

Year	Italy	San Marino
2015	3021.7–40.4	5842–74
2016	29.618–42.2	5535–76
2017	31.820.2–43.7	6040–74
2018	3122–44.3	5644–73
2019	31.521.3–43.2	5633–72
2020	31.619.7–44.3	5932–73
2021	3420.8–46.9	6130–81
2022	37.121.3–50.6	7039–85
2023	33.121.3–47.4	6135–76
2024	35.521.6–48.4	6539–78
2025	37.720.5–51.1	7224–87
2026	38.926.6–52.2	6655–88
2027	34.322.4–49.7	6140–90
2028	37.724.4–53.1	6751–86
2029	37.824.9–55	7141–88
2030	37.925.7–54.7	7252–89
2031	37.223.8–51	6640–91
2032	39.226.2–53.8	7052–92
2033	40.426–50.3	7044–79
2034	42.525.1–57.2	7452–88
2035	42.728.9–58.3	7453–97
2036	41.127.7–59.9	6951–101
2037	4328.1–54.8	7748–87
2038	41.628.5–61.3	6953–95
2039	4129.4–56.4	6856–90
2040	42.428.1–59.1	7554–97
2041	41.927.2–58.7	7250–92
2042	43.529.6–59	7253–93
2043	4528.7–59.5	8151–101
2044	44.929.4–59.9	7551–92
2045	45.230.3–59.2	7358–88
2046	4627.3–62.4	7543–99
2047	49.132.4–63.6	8053–95
2048	46.228.3–65.7	7653–104
2049	48.229.5–65.7	7948–104
2050	49.536.4–64.4	8361–99
2051	48.831.6–68.3	8051–111
2052	50.330.9–68.1	8361–104
2053	48.235.9–67	8465–106
2054	49.435.3–66.1	8561–98
2055	52.233.7–67.7	9158–109
2056	50.836.2–71.6	8167–105
2057	50.232.8–65.6	8362–100
2058	55.337.5–70.8	8566–112
2059	51.934.5–74.1	8762–107
2060	52.938.2–68.1	8966–102
2061	54.338.3–69.8	8767–114
2062	53.936.9–69	9061–101
2063	56.437.6–72.1	8966–106
2064	55.938.5–71.3	9472–107
2065	5537.3–73.3	8668–108
2066	53.935.8–73.8	8866–105
2067	61.141.2–76.6	9176–111
2068	56.241.7–73	8772–105
2069	58.741.8–73	9272–113
2070	55.738.9–74.4	8565–115
2071	59.637.8–76.6	9460–112
2072	59.643.5–74.6	9673–110
2073	56.939.4–71.6	9061–104
2074	54.836.7–73.7	8763–112
2075	56.941.8–75.4	9071–107
2076	59.941.9–77.7	9174–111
2077	57.437.9–74.1	8669–111
2078	60.540.5–80.7	9571–114
2079	60.637.1–83.3	9164–119
2080	59.743.1–78	9070–110
2081	5943.7–78.9	9178–112
2082	63.945.5–80.2	9676–113
2083	60.842–79.7	9178–116
2084	62.547.3–82.1	9582–119
2085	65.246.3–79	10075–117
2086	64.445.6–80.1	9779–114
2087	63.743.8–84	9277–115
2088	67.247.4–84.4	10280–123
2089	64.546–82.9	9779–116
2090	65.842.8–80.5	10079–116
2091	66.745.3–84.7	9781–118
2092	64.838.5–82.3	10176–120
2093	63.644.7–83	10371–123
2094	62.445–82	9379–118
2095	6643.6–83.5	9774–118
2096	6542.9–85.8	9978–120
2097	65.844.9–84.4	9775–115
2098	64.647.9–84.2	9877–115
2099	67.742.2–81.9	9976–121
2100	65.142.5–83.2	9774–116

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