Significance of Weather data
Weather data is information about atmospheric conditions. Specific weather data includes temperature and humidity readings for a location like Taipei. For agricultural studies, weather data, along with soil data, indicates crop growing conditions. Weather information, such as rainfall amounts in 2018, can be used in simulations like SWMM, with the example text referencing 1284.1 mm of rainfall per year.
Synonyms: Meteorological information, Climate data, Atmospheric conditions, Weather conditions, Weather reports, Meteorological data, Atmospheric data
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Weather data in scientific sources
Weather data encompasses temperature, humidity in Taipei, and rainfall (e.g., 1284.1 mm in 2018) used for simulations. It's crucial, alongside soil data, for assessing crop growing conditions.
From: Sustainability Journal (MDPI)
(1) Supplementary environmental measurements, such as temperature and UV index, collected from an external API to improve prediction accuracy.[1] (2) Weather data, including temperature and humidity obtained from a nearby airport using the worldmet package, is prepared alongside energy consumption data as input variables for the forecasting models.[2] (3) The weather data used for the simulation were based on average, historical values and time series, which influenced the calculations for energy procurement costs, emissions, and primary energy requirements of the electricity mix.[3] (4) Weather Data encompasses various meteorological variables such as temperature, humidity, and precipitation, which were incorporated as inputs to influence and predict the behavior of the avocado market.[4] (5) Information detailing atmospheric conditions, including temperature and precipitation, which was utilized for the purpose of validating the measurements collected during the experimental period at a specific location.[5]
From: International Journal of Environmental Research and Public Health (MDPI)
(1) Weather data includes environmental measurements like air temperature and rainfall, which were systematically gathered on a weekly basis over several years for use in the modeling process.[6] (2) Weather data collected from specific locations, like St James’s Park, London, is used to analyze the impact of meteorological conditions on marathon events and runner performance.[7] (3) Weather data refers to information about meteorological conditions, and we obtained minimum and maximum daily temperature data from the Australian Government Bureau of Meteorology.[8] (4) Weather data, including humidity, temperature, rainfall, and ultraviolet radiation, were supplied by the Oman Directorate General of Meteorology for the study period.[9] (5) Information about atmospheric conditions, including temperature, which was provided by Free meteo and used in the data collection process.[10]