HFR data Quality Control assessment Jupyter Notebook
Created February 26, 2026
Updated on February 26, 2026
approved
Tags:
Item URL
Basic
Abbreviation
HFR_QC_Assessment_Jupyter_Notebook
Research Infrastructure
Jerico
Resource Providers
CNR-ISMAR-SP
Marketing
Description
This Python-based Jupyter notebook focuses on providing basic routines for inspecting the HFR-derived surface current dataset produced by the operational Near Real Time (NRT) workflow of the European HFR Node. The inspection is useful for assessing the datasets and modify the processing and QC parameters, if needed.
Use Cases
Classification
Access Types
Virtual
Access mode
Free
Categories
- Training and support
- Processing and analysis
- Security and operations
Scientific Domain
Natural Sciences
Scientific Sub-Domain
- Natural Sciences. Earth & Related Environmental Sciences
- Natural Sciences. Computer & Information Sciences
Sub Category
- Training and support. Education and training
- Processing and analysis. Data analysis
- Processing and analysis. Data management
- Security and operations. Operations and infrastructure management services
Target Users
- Providers
- Research Communities
- Researchers
- Students
Availability
Geographic Availability
Worldwide
Language Availability
English (en)
Location
Resource Geographic Location
Worldwide
Contact
Helpdesk Email
lorenzopaolo.corgnati@cnr.it
Main contact
Lorenzo Paolo Corgnati
Public contact
Lorenzo Paolo Corgnati; lorenzopaolo.corgnati@cnr.it
Security Contact Email
lorenzopaolo.corgnati@cnr.it
Dependencies
Related Platforms
European and global High Frequency Radar community; European HFR Node; EuroGOOS High Frequency Radar Task Team
Related Resources
Python packages: pandas; fsspec; xarray; hvplot; os; intake; cf_xarray; panel; numpy; matplotlib; xoak
Required Resources
Internet Connection; Environment supporting Jupyter notebooks
Maturity
Change Log
Publication of the resource
Last Update
2025-05-30
Life Cycle Status
Operational
Open Source Technologies
Python packages: pandas; fsspec; xarray; hvplot; os; intake; cf_xarray; panel; numpy; matplotlib; xoak
Standards
CF-1.11; ISO8601; ACDD
Version
1.0.0
trl: Technology Readiness Level
9 - actual system proven in operational environment
attribution
Funding Body
- European Commission (EC)
- National Research Council (CNR)
Funding Programs
European Earth Observation Programme (COPERNICUS)
Management
Access Policy
Helpdesk Page
Terms of Use
Order
Order Type
Fully open
Financial
Detailed informations
Provider
CNR-ISMAR La Spezia
system:type
Service
Management Info
Author
Maintainer
Version
1
Last Updated
February 26, 2026, 12:28 (UTC)
Created
February 26, 2026, 12:28 (UTC)
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