Summary

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Climate Overview

This dashboard presents a focused summary of climate conditions from 2020 to 2024 using monthly aggregated values. The analysis emphasizes atmospheric conditions, moisture patterns, radiation, and environmental quality indicators to provide a broader view of climate variability across the study period. Missing data was imputed usign the monthly averages of the various parameters

By organizing the data by month, recurring seasonal behavior becomes easier to detect. This approach supports clearer interpretation of short-term variability, broader environmental trends, and interactions among key climate-related factors.

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Average Humidity

67.8 %

Average Wind Speed

1895.2 m/s

Average Solar Irradiance

171.4 W/m2

Average Cloud Cover

54.3 %

Average Particulate Matter

1915.4 ug/m3

Average Precipitation

1992.9 mm

Temperature Trends

###Seasonal Distribution of Average Temperature

This plot illustrates how average temperatures varies throughout the years. It highlights clear seasonal patterns Such that the warm conditions are seen toward the end of the year and cooler temperatures early to middle of the year.

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Rainfall and Moisture

Humidity vs. Precipitation

This plot highlights the relationship between humidity and precipitation, showing that higher atmospheric moisture is generally linked to increased rainfall after removing outliers.

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Atmospheric Indicators

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Solar Irradiance vs. Cloud Cover

These plots illustrate temporal trends in solar irradiance and its inverse relationship with cloud cover. Together, they highlight how atmospheric conditions influence the availability of solar energy between 2020 and 2024.

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Air Quality Analysis

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Distribution of Particulate Matter by Month

This violin plot shows monthly variations in particulate matter, highlighting seasonal air quality patterns.

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Ocean and Climate Signals

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ENSO Index vs. Precipitation

This scatter plot shows the relationship between the ENSO Index and precipitation. After filtering, the plot provides a clearer view of how climate changes may influence rainfall patterns.

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Land and Urbanization

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Urbanization and Vegetation Patterns

This scatter plot shows the relationship between urbanization and vegetation cover. The plot helps show whether increasing urban development is associated with lower vegetation levels.

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Correlation Analysis

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Correlation Heatmap of Climate Variables

This heatmap illustrates the relationships among key climate variables. Strong positive and negative correlations highlight interactions between temperature, precipitation, atmospheric conditions, ocean indicators, and environmental factors.