contextualizing the visualization of climate data

Contextualizing the Visualization of Climate Data:

The CHARMe Project

Raquel Alegre

European Geosciences Union General Assembly 27th April – 2nd May 2014

Iryna Rozum Jon Blower Frank Kratzenstein Uni. of Reading ECMWF Uni. of Reading DWD

• Introduction to the CHARMe project

• Use of Open Annotation in CHARMe

• CHARMe system • CHARMe’s basic use case

• CHARMe’s advanced tools

Summary

Introduction to CHARMe

Introduction to CHARMe

Post-fact annotations

Introduction to CHARMe

Post-fact annotations

External events

Introduction to CHARMe

Post-fact annotations

External events

Data Provenance

Introduction to CHARMe

Post-fact annotations

External events

Data Provenance

User feedback

Introduction to CHARMe

Post-fact annotations

External events

Data Provenance

User feedback

Data policy

Introduction to CHARMe

Post-fact annotations

External events

Data Provenance

User feedback

Data policy

Results of assessments

Post-fact annotations

External events

Data Provenance

User feedback

Data policy

Results of assessments

CHARMe

Introduction to CHARMe

Post-fact annotations

External events

Data Provenance

User feedback

Data policy

Results of assessments

Sharing knowledge about Climate Data to help users judge fitness-for-purpose

CHARMe

Introduction to CHARMe

CHARMe plug-in

CHARMe plug-in

CHARMe plug-in

CHARMe plug-in

CHARMe node

CHARMe node

CHARMe node

3rd party system

Data provider website

• CHARMe will create connected repositories of commentary information

• Annotations will be stored as RDF triples in “CHARMe nodes”

The CHARMe system

CHARMe node

CHARMe node

CHARMe node

3rd party system

Data provider website

• Information can be read and entered through websites or web services.

• Advanced tools can be developed that interact with the CHARMe nodes.

The CHARMe system

CHARMe

Annotation

Metadata

Climate

Dataset

Overlapping volcanic eruption

I recently published a paper about this

dataset

CHARMe and W3C Open Annotation

Does anyone know about other related

datasets? http://www.someURL.com/dataset

CHARMe

Annotation

Metadata

Climate

Dataset

Overlapping volcanic eruption

I recently published a paper about this

dataset

CHARMe and W3C Open Annotation

Does anyone know about other related

datasets? http://www.someURL.com/dataset

W3C Open Annotation is a natural fit for CHARMe…

CHARMe

Annotation

Metadata

Climate

Dataset

Overlapping volcanic eruption

I recently published a paper about this

dataset

CHARMe and W3C Open Annotation

Does anyone know about other related

datasets? http://www.someURL.com/dataset

W3C Open Annotation is a natural fit for CHARMe… …plus it lets us record motivation, tags, author, time, have multiple targets.

What's a Climate Dataset?

What's a Climate Dataset?

jpl.nasa.gov

What's a Climate Dataset?

jpl.nasa.gov

jpl.nasa.gov

What's a Climate Dataset?

jpl.nasa.gov

esa.int

What's a Climate Dataset?

esa.int

jpl.nasa.gov jpl.nasa.gov

What’s a Climate Dataset?

Climate data often comes in 2D, 3D and 4D formats.

The targets of the annotation can also be subsets of these.

Some advanced use cases...

Climate data users discuss about data:

PML-SOLAS

Some advanced use cases...

Climate data users discuss about data: - Intercompare datasets

- Research on events timing

- Focus on specific areas of the world

PML-SOLAS

Significant Events Viewer

• Fully interactive web based tool

• Under development at ECMWF.

• Help to assess uncertainties in climate products to determine whether the climate signals represented by the product are real.

Significant Events Viewer

• Fully interactive web based tool

• Under development at ECMWF.

• Help to assess uncertainties in climate products to determine whether the climate signals represented by the product are real.

• Allows: • Visualization of relevant information about the data product

(source, limitations, error estimates, etc.) • Search for alternative climate products. • Study of possible causes of variability, shifts and drifts

apparent in the climate product.

Significant Events Viewer

• Significant Events are external events that can affect the results when recording or processing climate data:

Significant Events Viewer

• Significant Events are external events that can affect the results when recording or processing climate data:

• Climate events: • Hurricanes • Volcanic eruptions • El-Niño index

Significant Events Viewer

• Significant Events are external events that can affect the results when recording or processing climate data:

• Climate events: • Hurricanes • Volcanic eruptions • El-Niño index

• Software events: • Software cycle updates

Significant Events Viewer

• Significant Events are external events that can affect the results when recording or processing climate data:

• Climate events: • Hurricanes • Volcanic eruptions • El-Niño index

• Software events: • Software cycle updates

• Operational events: • Satellite or instrument failure • Operational changes to satellite orbit calculations

Significant Events Viewer

• Significant Events are external events that can affect the results when recording or processing climate data:

• Climate events: • Hurricanes • Volcanic eruptions • El-Niño index

• Software events: • Software cycle updates

• Operational events: • Satellite or instrument failure • Operational changes to satellite orbit calculations

• Data/Observing system events: • How the data was obtained

Significant Events Viewer

The user selects datasets and events to plot alongside the data.

Significant Events Viewer

Data is plotted and displayed with an event timeline underneath.

Significant Events Viewer

Each flag represents an event. Further event’s info can be displayed.

Significant Events Viewer

Matching of events that can help explain data peaks.

CHARMe Maps

• Interactive web map application • Based on previous efforts:

• Godiva • ncWMS

• Under development at DWD and Uni. of Reading • Will allow:

• Visualization of 3D and 4D climate data (netCDF, HDF, OPeNDAP, …).

• Visualization and insertion of fine-grained commentary metadata.

• Visual intercomparison of data.

Record a comment about…

CHARMe Maps: some use cases

Record a comment about…

… the entire SST field within a multi-variable gridded dataset.

CHARMe Maps: some use cases

Record a comment about…

… the entire SST field within a multi-variable gridded dataset.

… all SST data from 2006 from within a long gridded time series covering a given area.

CHARMe Maps: some use cases

Record a comment about…

… the entire SST field within a multi-variable gridded dataset.

… all SST data from 2006 from within a long gridded time series covering a given area.

… a particular pixel corresponding to the position of an in situ station

CHARMe Maps: some use cases

Record a comment about…

… the entire SST field within a multi-variable gridded dataset.

… all SST data from 2006 from within a long gridded time series covering a given area.

… a particular pixel corresponding to the position of an in situ station … a transect navigated by a scientific cruise who wants to start a conversation about their findings comparing their data with EO SST data

CHARMe Maps: some use cases

Record a comment about…

… the entire SST field within a multi-variable gridded dataset.

… all SST data from 2006 from within a long gridded time series covering a given area.

… a particular pixel corresponding to the position of an in situ station … a transect navigated by a scientific cruise who wants to start a conversation about their findings comparing their data with EO SST data …. a vertical section from a pixel of interest in an SST dataset to compare with buoy measurements.

CHARMe Maps: some use cases

Record a comment about…

… the entire SST field within a multi-variable gridded dataset.

… all SST data from 2006 from within a long gridded time series covering a given area.

… a particular pixel corresponding to the position of an in situ station … a transect navigated by a scientific cruise who wants to start a conversation about their findings comparing their data with EO SST data …. a vertical section from a pixel of interest in an SST dataset to compare with buoy measurements. … the particular differences found in an area or interest between CCI SST and CCI Cloud data.

CHARMe Maps: some use cases

CHARMe Maps

CHARMe Maps

• Mockup showing how to enter comments

CHARMe Maps

Fine-Grained Commentary Tool

• Mockup showing visual intercomparison

CHARMe will provide a framework for the users to discover, understand and exploit climate data they need through commentary metadata and tools.

Conclusions

CHARMe will provide a framework for the users to discover, understand and exploit climate data they need through commentary metadata and tools. It focuses on Climate Data, but its principles can be applied in many other fields.

Conclusions

CHARMe will provide a framework for the users to discover, understand and exploit climate data they need through commentary metadata and tools. It focuses on Climate Data, but its principles can be applied in many other fields. CHARMe advanced tools are prototypes under development to demonstrate CHARMe usability.

Conclusions