Long-Term Spatiotemporal Investigation of Various Rainfall Intensities over Central India Using EO Datasets

Author:

Awasthi Nitesh1ORCID,Tripathi Jayant Nath1ORCID,Petropoulos George P.2ORCID,Kumar Pradeep3,Singh Abhay Kumar4ORCID,Dakhore Kailas Kamaji5,Ghosh Kripan6ORCID,Gupta Dileep Kumar4,Srivastava Prashant K.7ORCID,Kalogeropoulos Kleomenis8ORCID,Singh Sartajvir9ORCID,Singh Dhiraj Kumar10

Affiliation:

1. Department of Earth & Planetary Sciences, University of Allahabad, Prayagraj 211002, Uttar Pradesh, India

2. Department of Geography, Harokopio University of Athens, El. Venizelou St., 70, Kallithea, 17671 Athens, Greece

3. Department of Applied Sciences and Humanities, Kamla Nehru Institute of Technology, Sultanpur 228118, Uttar Pradesh, India

4. Department of Physics, Institute of Science, Banaras Hindu University, Varanasi 221005, Shivdaspur, India

5. AICRP on Agrometeorology, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani 431402, Maharashtra, India

6. India Meteorological Department, Pune 110003, Maharashtra, India

7. Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi 221005, Shivdaspur, India

8. Department of Surveying and Geoinformatics Engineering, University of West Attica, Ag. Spyridonos Str., Egaleo, 12243 Athens, Greece

9. University Institute of Engineering, Chandigarh University, Mohali 140413, Punjab, India

10. Kalpana Chawla Centre for Research in Space Science and Technology, Chandigarh University, Mohali 140413, Punjab, India

Abstract

This study involved an investigation of the long-term seasonal rainfall patterns in central India at the district level during the period from 1991 to 2020, including various aspects such as the spatiotemporal seasonal trend of rainfall patterns, rainfall variability, trends of rainy days with different intensities, decadal percentage deviation in long-term rainfall patterns, and decadal percentage deviation in rainfall events along with their respective intensities. The central region of India was meticulously divided into distinct subparts, namely, Gujarat, Daman and Diu, Maharashtra, Goa, Dadra and Nagar Haveli, Madhya Pradesh, Chhattisgarh, and Odisha. The experimental outcomes represented the disparities in rainfall distribution across different districts of central India with the spatial distribution of mean rainfall ranges during winter (2.08 mm over Dadra and Nagar Haveli with an average of 24.19 mm over Odisha), premonsoon (6.65 mm over Gujarat to 132.89 mm over Odisha), monsoon (845.46 mm over Gujarat to 3188.21 mm over Goa), and post-monsoon (30.35 mm over Gujarat to 213.87 mm over Goa), respectively. Almost all the districts of central India displayed an uneven pattern in the percentage deviation of seasonal rainfall in all three decades for all seasons, which indicates the seasonal rainfall variability over the last 30 years. A noticeable variation in the percentage deviation of seasonal rainfall patterns has been observed in the following districts: Rewa, Puri, Anuppur, Ahmadabad, Navsari, Chhindwara, Devbhumi Dwarka, Amreli, Panch Mahals, Kolhapur, Kandhamal, Ratnagiri, Porbandar, Bametara, and Sabar Kantha. In addition, a larger number of rainy days of various categories occurred in the monsoon season in comparison to other seasons. A higher contribution of trace rainfall events was found in the winter season. The highest contributions of very light, light rainfall, moderate, rather high, and high events were found in the monsoon season in central India. The percentage of various categories of rainfall events has decreased over the last two decades (2001–2020) in comparison to the third decade (1991–2000), according to the mean number of rainfall events in the last 30 years. This spatiotemporal analysis provides valuable insights into the rainfall trends in central India, which represent regional disparities and the potential challenges impacted by climate patterns. This study contributes to our understanding of the changing rainfall dynamics and offers crucial information for effective water resource management in the region.

Publisher

MDPI AG

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