Data Collection, Pre-Processing, and Visualization of IMD Gridded Climate Data for Spatio-Temporal Exploratory Analysis

Chandrika M., Samitha Khaiyum

2023

Abstract

Climate data is huge and complex data structure witnessing drastic spike in volume and complexity with each passing day. Scientific community is considering this as a challenge and displaying more interest towards climate studies. This is evident with the increasing demand for more user-friendly data access. Climate change is a major concern commonly expressed in almost all the top geopolitical forums these days. Scientists are trying hard to study both natural and anthropogenic climate change. Not only climate scientists, scientists from other domains are also accessing climate data for critical decision-making as part of inter-disciplinary studies. Irrigation, health, travel & tourism, marine studies are some examples of inter-disciplinary studies which incorporates climate datasets for enhancing the decision-making capabilities. Such studies open new avenues for availability of more readily accessible climate data. However, understanding climate datasets and data pre-processing is again a challenge because of its complex data structure. In the current work, attempt has been made to simplify the methodologies adapted for downloading, understanding the data structure, pre-processing, and analysing gridded rainfall data.

Paper Citation

in Harvard Style

M. C. and Khaiyum S. (2023). Data Collection, Pre-Processing, and Visualization of IMD Gridded Climate Data for Spatio-Temporal Exploratory Analysis. In Proceedings of the 1st International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES; ISBN 978-989-758-689-7, SciTePress, pages 136-143. DOI: 10.5220/0012528900003808

in Bibtex Style

@conference{ispes23,
author={Chandrika M. and Samitha Khaiyum},
title={Data Collection, Pre-Processing, and Visualization of IMD Gridded Climate Data for Spatio-Temporal Exploratory Analysis},
booktitle={Proceedings of the 1st International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES},
year={2023},
pages={136-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012528900003808},
isbn={978-989-758-689-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES
TI - Data Collection, Pre-Processing, and Visualization of IMD Gridded Climate Data for Spatio-Temporal Exploratory Analysis
SN - 978-989-758-689-7
AU - M. C.
AU - Khaiyum S.
PY - 2023
SP - 136
EP - 143
DO - 10.5220/0012528900003808
PB - SciTePress