exploratory data analysis of meteorological parameters with python
Highlights
- Maximum daily temperature varies from 5.2 to 46.6 C with a mean value of 29.8 C while daily ETo varies from 0.58 to 10.44 mm with a mean of 3.7 mm.
- The highest absolute co-relation of ETo is with Tmax while the lowest is with n/N.
- Tmax most important parameter to estimate ETo using machine learning techniques followed by Rns, VPD, and wind speed.
- For ETo, the monthly average trend for May, September, November, and December is found to be positive while no trend for other months.
- There is no trend for the monthly average temperature.
- In annual average values of parameters, ETo has decreasing trend.
- The Dendrogram of cluster maps illustrates the similarity between different years’ values.
Meteorological and climate parameters play a crucial role in agriculture and water management. Understanding the patterns and trends of these parameters can help farmers make informed decisions about when to plant and harvest crops and how much water to use for irrigation. Researchers have long been studying the impact of weather and climate on agriculture and water resources, and their findings have important implications for the future of food security and water sustainability.
In recent years, the effects of climate change have become increasingly apparent, making it even more critical to monitor meteorological and climate parameters in agriculture and water management. Extreme weather events, such as droughts, floods, and heat waves, have become more frequent and intense, leading to significant crop losses and water shortages. By studying these parameters and their impacts on agricultural productivity and water resources, researchers can develop strategies to mitigate the effects of climate change and improve food security and water availability for future generations. Overall, understanding meteorological and climate parameters is essential for sustainable agriculture and water management and can have significant implications for global food security and environmental sustainability.
This notebook deals with exploratory data analysis (EDA) of various meteorological parameters viz temperature, relative humidity, wind speed, sunshine hours, and solar radiation along with estimated reference evapotranspiration for 27 years from 1995-2021 for Ludhiana, India.
