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Development of Hyperlocal Weather Forecasting Mobile Application with Real-Time HD Data

lizard.global

Environmental Services

Information technology

Government

Insurance

Inadequate Weather Forecast Precision for Operational Planning

Existing weather applications lack the resolution and reliability required for street-level, short-term weather planning, creating operational risks for festival organizers, emergency services, and commuters who depend on hyperlocal forecasts for preventative decision-making.

About the Client

A startup specializing in high-definition urban rainfall and storm monitoring software using advanced radar technology

Key Goals for Weather Monitoring Solution

Deliver real-time high-definition rain and storm forecasts at street-level precision
Enable multi-industry stakeholders to mitigate weather-related disruptions
Provide scalable visualization layers for both localized (Rotterdam) and national (Netherlands) coverage
Implement user-configurable data filtering for targeted weather parameters

Core System Capabilities

Advanced radar-based location tracking for sub-500m precision
60-minute hyperlocal forecast clock with configurable data layers
Multi-definition visualization system (HD for Rotterdam, SD for Netherlands)
API-driven integration of temperature, wind, pressure, and humidity data

Technology Stack Requirements

Radar data processing frameworks

Real-time analytics engines

Geospatial visualization libraries

Mobile-first responsive design architecture

External System Connections

National weather service APIs
GPS location services
Cloud-based data storage solutions
Third-party business continuity platforms

Operational Constraints

Sub-second forecast update latency
99.9% system availability during peak weather events
Multi-tenancy support for concurrent business users
GDPR-compliant data handling protocols

Expected Business Outcomes

Enables proactive weather risk management for government agencies, event organizers, and insurance providers through actionable hyperlocal forecasts, while establishing market differentiation via superior resolution and real-time analytics capabilities compared to traditional weather monitoring solutions.