A tool for handling and downloading IMD gridded data
Project description
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
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
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]
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]
Project details
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