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1. pypi.org › project › imdlibimdlib · PyPI

   pypi.org › project › imdlib

   • Αποθηκευμένο αντίγραφο

   24 Φεβ 2024 · imdlib. This is a python package to download and handle binary grided data from Indian Meterological department (IMD).

2. github.com › iamsaswata › imdlibDownload and process binary IMD meteorological data in Python

   github.com › iamsaswata › imdlib

   • Αποθηκευμένο αντίγραφο

   Download and process binary IMD meteorological data in Python - iamsaswata/imdlib.

3. mappingaround.in › download-imd-weather-data-using-google-colabDownload & Convert IMD Weather Data Using Google Colab

   mappingaround.in › download-imd-weather-data-using-google-colab

   • Αποθηκευμένο αντίγραφο

   Learn how to download IMD Weather Data using python or QGIS. Simply copy and paste these codes and get the desired data from the IMD servers.

4. imdlib.readthedocs.io › en › latestIMDLIB - a Python library for IMD gridded data

   imdlib.readthedocs.io › en › latest

   • Αποθηκευμένο αντίγραφο

   IMDLIB is a python package to download and handle binary gridded data from the India Meteorological Department (IMD). For more information about the IMD datasets, the link of IMD Pune may be referred. It heavily employs the xarray for processing the datasets.

5. imdlib.readthedocs.io › en › latestDownloading — IMDLIB documentation - Read the Docs

   imdlib.readthedocs.io › en › latest

   • Αποθηκευμένο αντίγραφο

   Downloading IMDLIB is capable of downloading gridded rainfall and temperature (minimum and maximum) data. Here is an example of downloading rainfall data from 2010 to 2018:

6. openweathermap.org › historyHistorical weather API - OpenWeatherMap

   openweathermap.org › history

   • Αποθηκευμένο αντίγραφο

   Access hourly historical weather data for any global location with OpenWeather's History API. Available in JSON or CSV formats, tailored to your subscription type.

7. imdweb.lwcc.inDownloading and processing options

   imdweb.lwcc.in

   Downloading and processing options. Use this area to download and/or process IMD datasets. Step 2: Select variable to download i.e., rainfall, maximum, and minimum temperature. Step 3: Select type of download i.e., point, polygon, geojson file.