Cloud-based environmental data integration

Knowledge graph centered on Cloud-based environmental data integration with 14 nodes and 29 connections. Top connected: Atriplex canescens, snow cover duration, snow water equivalent, Automated Cloud Based Long Short-Term Memory Neura, model performance evaluation.

Method synopsis

Automated system for retrieving, normalizing, and processing heterogeneous environmental data using ODM2 datamodel with web interface and API access for real-time predictions.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure as described in the canonical source

Steps below were extracted from the paper that introduces this protocol — Automated Cloud Based Long Short-Term Memory Neural Network Based SWE Prediction (2020), Frontiers in Water. Implementations in other papers (listed below) may differ.

1. Data preprocessing and normalization
   Raw data was normalized with variable names, units, and timestamps standardized. Data was stored in project-specific relational databases using the ODM2 datamodel. Quality control and gap-filling strategies were applied, with data from early 2000s having some continuity issues excluded from noise elimination
   Quantities: Data from five stations processed, typically more than 10,000 data points per stationDuration: Not specifiedConditions: Cloud-based data processing environment
   Equipment: Cloud-based data management system, ODM2 datamodel
2. Web interface and API implementation
   A cloud-based web interface was developed providing data visualization, model parameter selection, and prediction capabilities. The system includes APIs for programmatic access and exposes both training and prediction capabilities through graphical and programmatic interfaces
   Quantities: Single web interface covering all five SNOTEL stations with API accessDuration: Real-time operational systemConditions: Cloud-based deployment with web accessibility
   Equipment: Web interface development tools, API framework, Cloud hosting platform

Typical Equipment

• Cloud-based data management system
• ODM2 datamodel
• Web interface development tools
• API framework

Output Measurements

• normalized environmental datasets
• real-time predictions
• web visualizations

Papers Using This Protocol (1)

Species Studied With This Protocol