Cloud Migration and Data Platform Enablement for Large-Scale Climate Data Services

Energy & natural resources

Government

Challenges in Deploying and Accessing Extensive Climate Datasets for Commercial Use

The organization currently maintains nearly 70 years of extensive global climate and precipitation data using research infrastructure not suited for commercial access or third-party integration. They require a scalable, secure, and accessible cloud-based system to enable market-ready climate data services, integrating complex analytics scripts and models for global risk assessment and decision-making.

About the Client

A global environmental data organization providing climate and hydrological information for risk analysis, modeling, and decision support.

Goals for Developing a Cloud-Based Climate Data and Analytics Platform

Successfully migrate large-scale, historical climate datasets and analytics models to a cloud environment to support commercial deployment.
Enable global access to highly precise climate data and analytics tools for third-party clients and end-users.
Facilitate advanced climate and hydrological modeling for risk analysis, water resource estimation, and ecohydrological applications on a global scale.
Ensure system stability, performance, and security to support large data volumes and complex computations for a diverse user base.
Provide a platform capable of supporting future data growth and analytical enhancements.

Core Functional Features and System Capabilities for Climate Data Services

Migration of large historical climate datasets to the cloud to enable scalable storage and retrieval.
Deployment of climate monitoring applications and analytics scripts for real-time and retrospective analysis.
A user-friendly interface for data access, visualization, and reporting.
Tools for complex climate and hydrological modeling, including soil moisture, evaporation, and ecohydrological simulations.
Support for third-party access and API integrations for external data consumption.

Preferred Cloud Technologies and Architectural Approaches

Cloud service provider platform (e.g., AWS) for scalable storage and computing.

Migration tools and environments optimized for large dataset transfer.

Analytics deployment using containerized or serverless architectures.

Database and storage solutions capable of handling multi-decade, high-resolution climate data.

Essential External System and Data Source Integrations

Satellite data sources and gauge datasets for data merging.
External climate and hydrological models for dynamic simulations.
APIs for third-party client access to data and analytics outputs.

Critical Non-Functional System Requirements and Performance Metrics

High scalability to accommodate increasing data and user load.
Robust security measures to protect sensitive climate data and user information.
System availability and reliability targets, e.g., 99.9% uptime.
Performance optimization for rapid data retrieval and analytics execution.
Compliance with data governance and privacy standards.

Potential Business Benefits and Project Outcomes

The cloud-enabled climate data platform is expected to facilitate a successful market launch of comprehensive climate products, enabling real-time global data access and advanced modeling capabilities. This transformation supports improved risk assessment, water resource management, and ecohydrological modeling, ultimately expanding market reach and ensuring scalable, reliable service delivery for global clients.