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Journal of Water and Soil https://jsw.um.ac.irResearch Article Vol. 37, No. 4, Sep.Oct. 2023, p. 621641SpatialTemporal Analysis of Cloudiness Across the Iran A. Gholami Received: 17062023 Revised:
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Collect the data on cloud cover at different time points and spatial locations.
02
Determine the variables to be analyzed such as average cloud cover, cloud cover trends, etc.
03
Use a spatial-temporal analysis tool or software to input the data and analyze the cloudiness patterns.
04
Interpret the results and visualize the spatial-temporal variations in cloudiness.

Who needs spatial-temporal analysis cloudiness in?

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Meteorologists studying weather patterns
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Astronomers studying sky conditions for observations
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Environmental scientists monitoring climate change effects
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Spatial-temporal analysis cloudiness refers to the assessment of cloud cover and its variations over time and space, often using satellite imagery and other remote sensing technologies to analyze patterns and impacts on weather, climate, or environmental studies.
Organizations and researchers involved in meteorological studies, environmental assessments, or any entity that analyzes atmospheric data may be required to file spatial-temporal analysis cloudiness reports.
To fill out a spatial-temporal analysis cloudiness report, one needs to collect relevant cloud data, select the appropriate templates, and accurately input the analyzed information, including spatial coordinates, time intervals, and cloud coverage percentages.
The purpose of spatial-temporal analysis cloudiness is to monitor and evaluate cloud patterns, assess their effects on climate and weather, and support scientific research and policy-making in environmental management.
The report must include data such as the date and time of observations, geographical locations, types of cloud coverage, percentage of cloud cover, and any relevant weather conditions.
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