How to Download & Convert IMD Gridded Binary Weather Data Using Google Colab

Step 1: Go to Google Colab

Open Google Colab

Step 2: Connect to Google Drive

from google.colab import drive
drive.mount('/content/drive')

Step 3: Install the Library

pip install imdlib

Step 4 (a): Download and Convert to .csv (Single coordinate)

This code will save the year-wise .csv file separately after conversion

import imdlib as imd
import os

path = "/content/drive/MyDrive/Colab Notebooks"

start_yr = 1951
end_yr = 2021
variable = 'tmin' # other options are ('tmin'/ 'tmax')

imd.get_data(variable, start_yr, end_yr, fn_format='yearwise', file_dir=path)

for year in range(start_yr, end_yr+1):
    data = imd.open_data(variable, year, year, 'yearwise', path)
    ds = data.get_xarray()
    print(ds)
    lat = 27.25 #lattitude of point
    lon = 78.0 #longitude of point
    filename = f'{path}/{variable}_{year}.csv'
    if not os.path.exists(os.path.dirname(filename)):
        os.makedirs(os.path.dirname(filename))
    data.to_csv(filename, lat, lon)
    print(f'{year} {variable} data saved to {filename}')

Step 4(b): Download and Convert to .csv (Multiple coordinates saved in separate .csv files year-wise)

import imdlib as imd
import xarray as xr
import os

path = "/content/drive/MyDrive/Colab Notebooks"

start_yr = 1959
end_yr = 1962

variable = 'tmin' # other options are ('tmin'/ 'tmax')

imd.get_data(variable, start_yr, end_yr, fn_format='yearwise', file_dir=path)

for year in range(start_yr, end_yr+1):
    data = imd.open_data(variable, year, year, 'yearwise', path)
    ds = data.get_xarray()
    print(ds)

    latLong = [[27.25,78.00],[27.0,78.0],[27.0,78.25],[27.0,77.75],[27.5,78.5]]

    for points in latLong:
        lat = points[0]
        lon = points[1]
        df = ds.sel(lat=lat, lon=lon, method='nearest').to_dataframe()

        filename = f'{path}/{variable}_{year}_{lat}_{lon}.csv'
        if not os.path.exists(os.path.dirname(filename)):
            os.makedirs(os.path.dirname(filename))
        df.to_csv(filename)
        print(f'{year} {variable} data saved to {filename}')

If you want to save multiple years to the same .csv file then use the below codes

Step 5 (a): Download and Convert to .csv (Single coordinate, Single File)

import imdlib as imd

path = "/content/drive/MyDrive/Colab Notebooks"

start_yr = 1951
end_yr = 2020
variable = 'rain' # other options are ('tmin'/ 'tmax')

imd.get_data(variable, start_yr, end_yr, fn_format='yearwise', file_dir=path)
data = imd.open_data(variable, start_yr, end_yr,'yearwise', path)
ds = data.get_xarray()
print(ds)



lat = 20.03 #lattitude of point
lon = 77.23 #longitude of point
data.to_csv('data.csv', lat, lon, path)

Step 4(b): Download and Convert to .csv (Multiple coordinates, Multiple .csv Files)

import imdlib as imd

path = "/content/drive/MyDrive/Colab Notebooks"

start_yr = 1951
end_yr = 2021
variable = 'tmax' # other options are ('tmin'/ 'tmax')

imd.get_data(variable, start_yr, end_yr, fn_format='yearwise', file_dir=path)
data = imd.open_data(variable, start_yr, end_yr,'yearwise', path)
ds = data.get_xarray()
print(ds)

latLong = [[27.25,78.00],[27.0,78.0],[27.0,78.25],[27.0,77.75],[27.5,78.5]]

for points in latLong:
    lat = points[0]
    lon = points[1]

    filename = f'{path}/{variable}_{lat}_{lon}.csv'
    data.to_csv(filename, lat, lon)
    print (f"data saved for {points} to {filename}")

How to Download and Convert IMD Gridded Binary Weather Data Using Python/QGIS