NCMRWF · INDIAN REANALYSIS

Convert IMDAA Reanalysis to CSV

IMDAA (Indian Monsoon Data Assimilation and Analysis) is India's highest-resolution gridded reanalysis — 12 km horizontal, hourly, from 1979 to near-present. NetCDF Studio converts your IMDAA ZIP archives to analysis-ready CSV with optional FAO-56 corrections, without a single line of Python.

12 kmResolution
1979Archive Start
HourlyTimestep
FAO-56Corrections Built-in
Process Your IMDAA Archive Upload Guide
DATASET OVERVIEW

At a Glance

ProducerNCMRWF (National Centre for Medium Range Weather Forecasting), India
Resolution12.5 km horizontal, 3-hourly and hourly temporal
CoverageSouth Asian domain, 1979 to near-present
VariablesTemperature, rainfall, wind, humidity, solar radiation, soil moisture (multiple depths)
Input formatZIP archive of NetCDF files downloaded from the NCMRWF portal
PROCESSING PIPELINE

How It Works

01
Upload IMDAA ZIP

Download your IMDAA archive from the NCMRWF portal and upload the ZIP here. No need to unpack or rename files.

02
Select Variables & Corrections

Pick variables (temperature, wind, rain, soil moisture). Enable FAO-56 ET, radiation integration, unit conversions — each module is optional.

03
Download CSV

Receive a wide-format CSV — one row per grid cell per time step. Opens in Excel, QGIS, Python and R without any transformation.

FAQ

Common Questions

What is IMDAA reanalysis?
IMDAA (Indian Monsoon Data Assimilation and Analysis) is a high-resolution gridded reanalysis produced by NCMRWF. It covers the Indian subcontinent at 12 km resolution from 1979 to near-present, making it the primary dataset for Indian weather and climate research.
How do I download IMDAA data?
Download IMDAA ZIP archives from the NCMRWF portal. Upload the ZIP to NetCDF Studio, select the variables you need, and click Process to receive a CSV.
What variables are available in IMDAA?
IMDAA includes temperature (2m and pressure levels), rainfall, wind speed and direction, humidity, solar radiation, and soil moisture at multiple depths. NetCDF Studio detects available variables automatically from your uploaded file.
Can I apply FAO-56 corrections to IMDAA data?
Yes — the correction engine supports FAO-56 Penman-Monteith evapotranspiration, radiation integration from W/m² to MJ/m²/day, temperature unit conversion, vapour pressure, and rainfall erosivity. Each module is optional and fully documented.
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Supported Datasets