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This is a list of cities by average temperature (monthly and yearly). The temperatures listed are averages of the daily highs and lows. Thus, the actual daytime temperature in a given month may be considerably higher than the temperature listed here, depending on how large the difference between daily highs and lows is.
The sword will be on display at the nearby Majorca Museum. ... The two wettest months in Mallorca are October and November. ... Average sea temperature °C (°F) 14.4 ...
This is a list of countries and sovereign states by temperature. Average yearly temperature is calculated by averaging the minimum and maximum daily temperatures in the country, averaged for the years 1991 – 2020, from World Bank Group , derived from raw gridded climatologies from the Climatic Research Unit .
During the coldest month, January, the average high temperature is 15.7 °C (60 °F), while the average low is 8.5 °C (47 °F). In the warmest month, August, the average high temperature is 30.2 °C (86 °F), while the low is 23.0 °C (73 °F). Autumn is the wettest season, with occasional heavy rainfall and storms.
The four most dominant climates in the country include: The hot-summer Mediterranean climate (Csa), the warm-summer Mediterranean climate (Csb), the semi-arid climate (BSk) and the oceanic climate (Cfb). [5] The average annual temperature in the mainland varies from less than 2.5 °C (36.5 °F) in the north of the Pyrenees, close to the border ...
Average yearly temperature is 22.4 °C, ranging from an average minimum of 12.2 °C to a maximum of 29.9 °C. The average temperature range is 11.4 °C. [6] Variability throughout the year is small (standard deviation of 2.31 °C for the maximum monthly average and 4.11 °C for the minimum). The graph also shows the typical phenomenon of ...
The following list is the highest average mean maximum temperatures ever recorded in Spain, above 39.4 °C (102.9 °F). Cities in the interior of southern Spain recorded the highest average mean maximums temperatures ever in all of Europe. [26] [27]
The image uses the trend of annual averages to smooth out climate variability due to factors such as El Niño. The map is improved from the highest quality rendering that NASA’s Scientific Visualization Studio generates, with horizontal and vertical lines removed and with a more legible projection of Kavraiskiy VII.