imdlib 0.1.19

A tool for handling and downloading IMD gridded data

imdlib

This is a python package to download and handle binary grided data from Indian Meterological department (IMD).

Installation

pip install imdlib

or

conda install -c iamsaswata imdlib

or

pip install git+https://github.com/iamsaswata/imdlib.git

Documentation

Tutorial Tutorial

Video Tutorial

License

imdlib is available under the MIT license.

Citation

If you are using imdlib and would like to cite it in academic publication, we would certainly appreciate it. We recommend to use the zenodo DOI for this purpose:

Nandi, S., Patel, P., and Swain, S. (2022). IMDLIB: A python library for IMD gridded data. Zenodo. https://doi.org/10.5281/zenodo.7205414

Publications using IMDLIB

Sardar, P., and Samadder, S. R. (2023).  Long-term ecological vulnerability assessment of indian sundarban region under present and future climatic conditions under CMIP6 model. Ecological Informatics. [DOI]

Roy, P. K., Ghosh, A., Basak, S. K., Mohinuddin, S., & Roy M. B. (2023).  Analysing the Role of AHP Model to Identify Flood Hazard Zonation in a Coastal Island, India. Journal of the Indian Society of Remote Sensing Article, 1-15. [DOI]

Kundu, M., Zafor, A., & Maiti, R. (2023). Assessing the nature of potential groundwater zones through machine learning (ML) algorithm in tropical plateau region, West Bengal, India. Acta Geophysica, 1-16. [DOI]

Venkatesh, S., Kirubakaran, T., Ayaz, R. M., Umar, S. M., & Parimalarenganayaki, S. (2023). Non-parametric Approaches to Identify Rainfall Pattern in Semi-Arid Regions: Ranipet, Vellore, and Tirupathur Districts, Tamil Nadu, India. In River Dynamics and Flood Hazards (pp. 507-525). Springer, Singapore. [DOI]

Swain, S., Mishra, S. K., Pandey, A., & Dayal, D. (2022). Assessment of drought trends and variabilities over the agriculture-dominated Marathwada Region, India. Environmental Monitoring and Assessment, 194(12), 1-18. [DOI]

Swain, S., Mishra, S. K., Pandey, A., Dayal, D., & Srivastava, P. K. (2022). Appraisal of historical trends in maximum and minimum temperature using multiple non-parametric techniques over the agriculture-dominated Narmada Basin, India. Environmental Monitoring and Assessment, 194(12), 1-23. [DOI]