Bahadurgarh Lab · NABL TC-7710 · On-site AWS across India

Meteorological Monitoring for EIA & Dispersion Modelling

Borrowed or non-site-specific weather data is one of the quickest ways to get an EIA report sent back by the appraisal committee. Auriga Research provides NABL-accredited meteorological monitoring for EIA baseline data collection and air dispersion modelling, using automatic weather stations (AWS) installed at your site to log wind, temperature, humidity, pressure, rainfall, and solar radiation per IMD and CPCB conventions.

Site-specific meteorological data is a mandatory component of the baseline data collection under the MoEFCC EIA Notification 2006 (amended 2020) — required for both Category A and Category B projects seeking environment clearance. The baseline is collected over one season minimum (typically 3 months, excluding monsoon), with all-four-season coverage where the Terms of Reference require it. Our data supports AERMOD and ISCST3 models, generating wind roses and Pasquill-Gifford stability classifications for the clearance application.

Monitoring is run from our Bahadurgarh Environmental & Industrial Monitoring Laboratory (NABL TC-7710), time-aligned with the ambient air-quality baseline so the modelling inputs are internally consistent. Backed by the Arbro Group's analytical heritage — Arbro Lab since 1990, Auriga Research since 2007 — with NABL ISO/IEC 17025 accreditation, our reports are accepted by MoEFCC, SEIAA / SEAC, and EIA consultants.

AWS commissioning 3–5 days | Monitoring 1 season+ | Final report 10–15 days after completion

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Meteorological Parameters

Each parameter is mapped to its sensor or derived output so EIA consultants and modelling teams can match scope to the dispersion-modelling inputs at a glance.

Anemometer

Wind Speed

Cup anemometer at 10 m mast height — the primary input for air dispersion modelling.

Wind Vane

Wind Direction

Wind vane with 360° resolution — feeds the predominant-wind wind rose.

PT100

Ambient Temperature

Shielded platinum-resistance (PT100) temperature sensor.

RH Sensor

Relative Humidity

Capacitive relative-humidity sensor.

Rain Gauge

Rainfall

Tipping-bucket rain gauge for precipitation logging.

Barometer

Barometric Pressure

Digital barometric pressure measurement.

Pyranometer

Solar Radiation

Pyranometer for global solar radiation — supports mixing-height estimation.

Wind Rose

Wind / Pollution Rose

Wind rose and pollution rose diagram generation from continuous data.

Pasquill

Stability Class

Pasquill-Gifford atmospheric stability class determination for dispersion modelling.

AERMOD

Dispersion Model Input

Met dataset formatted as input for AERMOD / ISCST3 air dispersion models.

How It Works

Get a Quote & Site Plan

Share your project location, category (A / B), the EIA Terms of Reference, and the monitoring duration required (one season or multi-season). Your dedicated SPOC confirms the AWS specification, the 10 m mast siting per IMD / CPCB criteria, and whether the campaign is bundled with the ambient air-quality baseline before mobilisation.

AWS Installation & Monitoring

Auriga's field team installs and commissions the automatic weather station at your site and logs wind, temperature, humidity, pressure, rainfall, and solar radiation continuously (typically hourly) for the required period. Monthly data summaries are provided during monitoring, and all records are registered in YLIMS.

Data Processing & QA Review

The continuous dataset is processed at the Bahadurgarh lab (NABL TC-7710) — wind roses and pollution roses generated, Pasquill-Gifford stability classes derived, and the dataset formatted for AERMOD / ISCST3. Every dataset passes a formal internal QA review and sign-off before the report is generated.

Receive Your NABL Report

Your NABL-accredited meteorological report is delivered digitally within the committed turnaround time after monitoring completes. Reports carry Auriga's NABL accreditation under ISO/IEC 17025:2017, include wind roses, stability analysis, and model-ready datasets, and are accepted by MoEFCC, SEIAA / SEAC, and EIA consultants. Track status in real time through YLIMS.

Turnaround Time

Service	Standard TAT	Express
AWS installation & commissioning	3–5 days	Scheduling priority
Baseline monitoring (one season)	~3 months (per ToR)	— fixed by EIA scope
Multi-season monitoring	Per Terms of Reference	On request
Monthly data summaries (during monitoring)	Monthly	Included
Final report (wind rose + stability + model dataset)	10–15 business days after completion	On request

Who Needs Meteorological Monitoring

Industries and infrastructure projects undergoing EIA for environment clearance under the EIA Notification 2006 (amended 2020).
Power plants, refineries, and cement units needing site-specific data for air dispersion modelling.
EIA consultants requiring time-aligned met + air-quality baseline data for MoEFCC / SEIAA submissions.
Developers and project proponents conducting environmental audits and post-clearance compliance monitoring.
Mining and quarrying projects characterising local wind and dust-dispersion patterns.
Highway, port, airport, and large real-estate / township projects building the EIA baseline.
Chemical and process industries modelling fugitive and stack-emission dispersion to receptors.
Wind energy developers assessing site wind resource and profiling.
Industrial estates and SEZs running campus-wide baseline and compliance meteorology.
Consultants re-running dispersion models after an SEAC / EAC query on borrowed met data.

Why Auriga for Meteorological Monitoring

Bahadurgarh Environmental Lab — NABL TC-7710

Auriga's primary environmental monitoring facility runs the AWS campaign and data processing under one NABL accreditation — reports accepted by MoEFCC, SEIAA / SEAC, and EIA consultants.

Met + air-quality baseline, time-aligned

Meteorology and the ambient air-quality baseline are run together so the dispersion-model inputs are internally consistent — eliminating the common reviewer query when met and emission data come from different sources or periods.

Model-ready datasets (AERMOD / ISCST3)

We deliver the hourly dataset, wind roses, pollution roses, and Pasquill-Gifford stability classes pre-formatted as dispersion-model input — not just raw logger files.

IMD / CPCB-aligned siting & sensors

10 m mast, calibrated anemometer, wind vane, PT100, RH sensor, tipping-bucket gauge, barometer, and pyranometer installed per IMD and CPCB siting conventions.

Scoped to your Terms of Reference

Monitoring duration matched to the EIA ToR — one season or multi-season — so the dataset satisfies the appraisal committee the first time.

Arbro Group analytical heritage

Established analytical heritage through the Arbro Group (Arbro Lab since 1990, Auriga Research since 2007), with NABL ISO/IEC 17025 accreditation — the audit trail EIA consultants and project proponents look for in a monitoring partner.

Related Services

Frequently Asked Questions

Why is meteorological data required for an EIA?

Site-specific meteorological data is a mandatory part of the baseline data collection for an Environmental Impact Assessment under the MoEFCC EIA Notification 2006 (amended 2020). It is essential for air quality dispersion modelling (AERMOD, ISCST3) that predicts pollutant concentration at receptor locations — wind speed and direction determine how stack and fugitive emissions disperse, while atmospheric stability class and mixing height govern vertical dispersion. Without site-specific met data, the air-quality predictions in an EIA report are unreliable and the appraisal committee will query them.

How long must meteorological monitoring continue for an EIA?

Under the EIA Notification 2006 (amended 2020), baseline meteorological data is collected concurrently with the air-quality baseline — a minimum of one season (typically 3 months, excluding the monsoon) for the standard baseline, with all-four-season coverage where the Terms of Reference (ToR) issued by the appraisal committee require it. Category A and Category B projects both need site-specific data; larger or sensitive projects often attract a longer or multi-season ToR. Our automatic weather stations log data continuously (typically hourly) to produce the dataset required for dispersion modelling and the clearance submission.

Which Auriga lab and team conduct meteorological monitoring?

Meteorological monitoring is run by our Bahadurgarh Environmental & Industrial Monitoring Laboratory (NABL TC-7710), Auriga's primary environmental monitoring facility, alongside the ambient air-quality baseline so the two datasets are time-aligned for dispersion modelling. Field teams install and commission the automatic weather station (AWS) at your site, the data is processed at the Bahadurgarh lab, and the report is issued under the lab's NABL accreditation.

What parameters are recorded in meteorological monitoring?

Meteorological monitoring records wind speed (cup anemometer at 10 m), wind direction (wind vane), ambient temperature (PT100), relative humidity, rainfall (tipping-bucket gauge), barometric pressure, and solar radiation (pyranometer). From the continuous record we generate wind rose and pollution rose diagrams and determine the Pasquill-Gifford atmospheric stability classes, and we format the dataset as input for AERMOD / ISCST3 dispersion models — all per IMD and CPCB siting and measurement conventions.

How does meteorological data support air dispersion modelling?

Dispersion models such as AERMOD and ISCST3 require a site-representative hourly meteorological dataset — wind speed, wind direction, temperature, and a derived stability class / mixing height. The model combines this with stack-emission data to predict ground-level pollutant concentrations at sensitive receptors, which the EIA uses to demonstrate compliance with NAAQS 2009. Auriga runs the meteorological and stack / ambient air-quality monitoring together so the modelling inputs are internally consistent — a common reviewer query when met and emission data come from different sources or periods.

What is the consequence of inadequate meteorological data in an EIA submission?

Incomplete or non-site-specific meteorological data is a frequent EIA deficiency. The State / Expert Appraisal Committee (SEAC / EAC) can return the EIA report for the dispersion modelling to be re-run with proper site data, adding a full appraisal cycle (often several months) to the environment-clearance timeline. Using met data borrowed from a distant IMD station instead of an on-site AWS, or a monitoring period that does not match the ToR, are common reasons for this. A correctly scoped on-site campaign avoids the re-submission.

Are Auriga meteorological reports accepted for MoEFCC / SEIAA environment clearance?

Yes. Because monitoring is performed under the Bahadurgarh lab's NABL TC-7710 accreditation using IMD / CPCB-aligned methods, the reports and the derived wind roses, stability analysis, and model-ready datasets are accepted by MoEFCC, SEIAA / SEAC, and EIA consultants as part of the baseline environmental data for environment clearance. Reports are formatted for direct inclusion in the EIA / EMP document with the accreditation reference included.

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