WINDS Rollout Delays: Weather Data Gaps, Crop Insurance and Farm Advisories

What is delayed, and where is the bottleneck?

The reported implementation package assigned three private companies a combined target of 1,197 automatic weather stations (AWSs) and 49,313 automatic rain gauges (ARGs). The verified status showed 113 AWSs and 1,730 ARGs installed. These figures describe the package documented by the newspaper and should not be treated as the size of India’s entire weather-observation network.

The central constraint appears to be site readiness rather than equipment availability. Documents cited in the report identify rejected locations, duplicate sites, pending clearances and sites not yet shared with implementing partners. This makes the rollout as much a land-management and coordination problem as a technology project.

• In Uttar Pradesh, 16,478 of 27,644 identified sites were rejected.
• In Odisha, 5,666 of 7,720 sites were rejected.
• Duplicate approvals at panchayat and block levels require re-checking before installation.

Siting standards: scientific necessity and contractual uncertainty

The September 1, 2023 manual prescribed level ground with short grass or natural earth for ARGs, ideally measuring 4 × 3 metres. It also permitted installation on a single-storey building where suitable siting conditions could not be met or in flood-prone areas, without specifying a numerical rooftop ceiling.

The December 3, 2025 amendment introduced a general rooftop ceiling of 10%, requiring a State justification that suitable ground space was unavailable. For flood- or landslide-prone regions, the ceiling is 15%, subject to State recommendation and approval through the WINDS Committee.

Private implementers characterise this change as retrospective tightening after procurement had begun. IMD officials defend ground-based siting as necessary for accurate, comparable observations and consistent with World Meteorological Organization guidance. The report establishes a change in the manual, but does not establish a legal finding on retrospective contractual liability.

• Rain-gauge exposure, nearby obstructions and wind conditions can affect the representativeness of recorded rainfall.
• Ground-based installation means a suitably exposed ground site; individual instruments still require their prescribed mounting heights.
• The policy objective should be scientifically valid coverage, not installation numbers achieved through unsuitable sites.

How observation gaps affect crop insurance

Sparse observations make it harder to capture localised rainfall variation and assess weather-related crop stress. A distant gauge may not adequately represent conditions experienced by farmers in a particular locality, weakening the evidence available for insurance assessment and verification.

However, PMFBY should not be equated with a purely rainfall-index insurance scheme. Its core approach includes yield-based assessment, with claim procedures depending on the insured risk. Better weather data can support assessment and verification; it does not mean every PMFBY claim is automatically calculated from rainfall readings.

• Missing observations can weaken corroboration of the timing and location of adverse weather events.
• Where insurance uses weather indices, a mismatch between measured conditions and actual farm losses creates basis risk.
• Poorly sited sensors may generate misleading evidence even when geographical coverage appears adequate.

How observation gaps affect farm advisories

Local observations help inform agricultural guidance on sowing, irrigation, spraying and harvesting. Gaps can reduce the ability to identify local weather variation and validate forecasts, especially where rainfall and terrain vary over short distances.

Sensors alone do not produce useful advisories. Observations must pass quality checks, feed forecasting and agricultural interpretation systems, and reach farmers in a timely, understandable form. A dense network without reliable maintenance or effective extension services will deliver limited benefits.

• Rainfall information can support decisions on sowing windows and supplementary irrigation.
• Temperature and humidity observations can inform crop-stress and disease-risk assessment.
• Wind and rainfall information can help identify suitable windows for spraying and harvesting.

Institutional lesson: align authority, standards and delivery

The project divides responsibilities among the Agriculture Ministry, MNCFC, States, private implementers and IMD. Such specialisation can work only if land identification, technical approval, procurement and commissioning are sequenced together. A site approved administratively may still be unsuitable scientifically.

The source does not establish that either technical standards or private implementation alone caused the delay. The broader governance failure is the absence of sufficiently coordinated site readiness and predictable implementation conditions. Resolving this requires joint technical-administrative decisions rather than unilateral relaxation of standards.

• MNCFC should coordinate programme delivery and resolve cross-agency implementation bottlenecks.
• States need to identify accessible, suitable sites and secure the necessary permissions.
• IMD’s technical requirements should be incorporated before sites and contracts are finalised.
• Contracts should clearly allocate responsibilities for land, maintenance and changes in technical requirements.