varunayan: Climate Data Toolkit¶
Download and process climate reanalysis and observational data from ERA5, IMD, HadEX3, and CRU TS. Compute heat stress indices (UTCI, WBGT, Heat Index, Humidex). Aggregate country-level temperature series. Built with a focus on India, but works globally wherever the underlying datasets have coverage.
Note
R users: See varunayanR, the R companion package.
Data Sources¶
Source |
Coverage |
Access |
|---|---|---|
ERA5 |
Global reanalysis, 0.25° grid, 1940-present |
CDS API (bbox, point, GeoJSON) |
IMD |
India gridded rainfall (0.25°) and temperature (1°), 1901-present |
Direct download |
HadEX3 |
Global ETCCDI climate extremes indices, 1.875° grid |
Direct download |
CRU TS |
Global monthly climate grids (0.5°), 1901-present |
Direct download |
Quick Start¶
pip install varunayan
import varunayan
# ERA5 temperature for a bounding box
varunayan.era5ify_bbox(
request_id="demo",
variables=["2m_temperature"],
start_date="2023-06-01",
end_date="2023-06-30",
north=28.7, south=28.5, east=77.3, west=77.0,
)
# IMD gridded rainfall
varunayan.imd_rainfall_bbox(
"mumbai", start_year=2020, end_year=2020,
north=19.2, south=18.9, east=72.9, west=72.8,
)
# HadEX3 climate extremes
varunayan.hadex3_bbox("TXx", start_year=2000, end_year=2018,
north=35, south=8, east=90, west=68)
# UTCI heat stress index
varunayan.utci(temp_c=35.0, rh=60.0, wind_ms=2.0, mrt_c=50.0)
CLI¶
varunayan bbox --request-id demo --variables 2m_temperature \
--start 2023-06-01 --end 2023-06-30 \
--north 28.7 --south 28.5 --east 77.3 --west 77.0
Jupyter Notebooks¶
- Jupyter Notebooks
- Varunayan Demo
- Comparison of ERA5 and IMD Monthly Rainfall Across Indian States (2000–2024)
- Visualizing Climate Change in India
- Total Precipitation and Umbrella Search Trends in India (2004–2024)
- Temperature and Sunscreen Search Trends in California (2004–2024)
- Do Rainy Months Increase Public Concern About Dengue and Malaria?
- Peak Month of Precipitation and Annual Rainfall Trends in India (2000–2024)
- Comparison of ERA5 and IMD Daily Temperature Extremes Across Maharashtra (2024)
- Working with Pressure Level Data