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Cloud-Native Weather Forecasting Platform Enhancement & Expansion

altoroslabs.com

Agriculture

Environmental Services

Energy & natural resources

Outdated Infrastructure & Scalability Limitations

AgriWeather Solutions' existing web application, used for analyzing meteorological data and generating forecasts, is built on outdated technology. This impacts performance, maintainability, and scalability, hindering the company's ability to expand into new markets and integrate additional data sources. The current system struggles to handle the increasing volume and variety of data from diverse sources, including a growing network of weather stations and global datasets.

About the Client

AgriWeather Solutions S.A. is a leading weather modification solutions provider, specializing in hail suppression and precipitation enhancement for the agricultural sector. Founded in 1976, the company aims to improve crop yields and mitigate weather-related risks for farmers.

Project Objectives

Develop a scalable and resilient cloud-native platform for meteorological data analysis and forecasting.
Enhance forecast accuracy to exceed 97% precision.
Improve data processing efficiency through an optimized ETL pipeline.
Enable visualization of meteorological data on synoptic charts.
Facilitate seamless integration of new data sources and expansion into the European market.

Functional Requirements

Data ingestion from diverse sources (weather stations, satellites, radiosondes, lightning detectors, etc.).
Unstructured data transformation and standardization (JSON format).
Real-time data updates from aggregation servers.
Advanced weather forecasting algorithms with high precision (97%).
Synoptic chart visualization (rainfall, wind, temperature, etc.).
User-friendly interface for accessing forecasts and data visualizations.
Alerting system for critical weather events.

Preferred Technologies

Amazon Web Services (AWS)

Microservices Architecture

Elastic Beanstalk

JSON

Cloud-based ETL pipeline

Integrations Required

Customer's existing aggregation server
Potential future data providers (e.g., international meteorological agencies)

Key Non-Functional Requirements

Scalability to handle increasing data volume and user traffic.
High performance and low latency for real-time data analysis.
Data security and privacy compliance.
High availability and disaster recovery capabilities.
Maintainability through a microservices architecture.

Estimated Business Impact

This project will enable AgriWeather Solutions to significantly enhance its forecasting capabilities, expand its market reach, and improve its service offerings to customers. The increased accuracy and reliability of forecasts will lead to better decision-making for farmers, resulting in reduced crop losses and increased profitability. The scalable platform will support future growth and innovation, solidifying AgriWeather Solutions' position as a leader in weather modification solutions.