Temporal integrity
Timestamp continuity, logger reboots, daylight-saving transitions, and clock drift against UTC.
Met Mast Data Analysis
Turn raw logger files into bankable input.
Met mast data quality decides whether a wind assessment is defensible. This service cleans the record, fills gaps carefully, applies long-term reference data, and produces a data set that can be trusted by an energy yield model anywhere in the world.
78-point QCMEASNET-aligned
2 weekstypical turnaround
Gap-fillingcleaned time series
What is checked
Sensor validity
Anemometer stall thresholds, vane deadband, temperature and pressure range checks, and humidity saturation excursions.
Reference correlation
ERA5, MERRA-2, NIWE, or IMD reference checks to anchor the long-term correction.
Deliverables
- Cleaned CSV or Excel output with exclusions and gap fills marked.
- QC memo explaining what failed, what was corrected, and what remains uncertain.
- Long-term-corrected climatology at the heights of interest.
Typical data problems
Cyclone-related data loss
Bay of Bengal and Arabian Sea landfalls can create long gaps that get silently interpolated if not checked.
Sand abrasion and sensor drift
Rajasthan and Kutch masts often show speed bias against redundant sensors after long exposure.
OEM boom shadow
Developer masts commissioned by OEMs often need sector exclusions validated against the mast drawing, not assumed.
Single mast
$3k-$6k
- One mast or one data set
- QC and gap handling
- Concise QC memo
Multi-mast / long record
$6k-$12k
- 2-3 masts or long record
- Long-term correction support
- Spreadsheet-ready export
LiDAR integration
$10k-$18k+
- Mast + LiDAR cross-check
- Calibration support
- Higher-complexity sites
Need the data cleaned before the model is built?
Book a scoping call and the logger format, data window, and turnaround can be confirmed quickly.