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It allows us to observe weather patterns, and how clouds form. It also allows us to understand any incosistincies in weather development so that we can fix any errors in our database of facts about weather.
Data is the information collected during an experiment
Data attrition refers to refers to the interruption of already collected data by removing some data. Data attrition can also refer to the destruction of data.
It gives them the information to predict the movements of the earthquake by the location it was in the time it hit and the damage it done so that data collected can help the data collectors predict where a future earthquake can and possibly hit.
Depends on the content. I would assume you are referring to weather data used in programs such as EnergyPlus and eQuest. In this case, weather data refers to the data recorded of weather over time, such as dry bulb and wet bulb data, referring to specific regions of the country, like cities. This data is typically either in hourly, daily, or tmy data formats.
a meteorologist
Meteorologic images too show weather in the future.
once a day
station model
Some examples of uses of data logging are collecting things data such as weather data (e.g. wind speed, amount of rain, temperature).The data is collected electornically, sometimes by sensors instead of having a person there to doit all the time. This means data can be more exact and can be collected much oftener than a person could and more data can be collected on the same time.
The evapotranspiration can be calculated from meteorological data through climatological and physical parameters. Weather stations directly measure some data. The meteorological data are expressed in various units. The data is collected from different weather stations through the computer by the meteorological offices. It is then collated and made into weather maps, weather reports and synoptic charts.
Any kind of data can be collected.
Weather observers whether being on land, sea or sky can send their collected data to the most common organization, the Met Office. This is just one of the most common ones.
The data collected does not have to be measurable.
Data that is collected may have been collected previously for some reason, or it might have been collected recently. Data is usually collected to show statistics or information about something specific.
It allows us to observe weather patterns, and how clouds form. It also allows us to understand any incosistincies in weather development so that we can fix any errors in our database of facts about weather.
The collected data is organized in a fashion so you can determine if the hypothesis is supported.