CLIPC: Constructing Europe's Climate Information Portal

Project resources

Future events of interest to CLIPC partners and interested parties

Interim review presentations:

• Introduction: overview of the project
• Work Package reports (except WP8)
• Work Package 8 report
• Working group reports
• Architecture team report
• Additional material requested

Policy briefs:

• Policy brief 1: Introduction to the project
• Policy brief 2: The CLIPC portal
• Policy brief 3: CLIPC's outputs and achievements

Conference presentations and posters:

• "Enabling data-driven provenance in NetCDF, via OGCOGC
  Open Geospatial Consortium - Visit website WPSWPS
  OGC Web Processing Service operations. ClimateClimate
  Climate in a narrow sense is usually defined as the average weather, or more rigorously, as the statistical description in terms of the mean and variability of relevant quantities over a period of time ranging from months to thousands or millions of years. The classical period for averaging these variables is 30 years, as defined by the World Meteorological Organization. The relevant quantities are most often surface variables such as temperature, precipitation and wind. Climate in a wider sense is the state, including a statistical description, of the climate system Analysis services use case." Poster at AGU 2016.
• "Developing MetadataMetadata
  Information about meteorological and climatological data concerning how and when they were measured, their quality, known problems and other characteristics. Infrastructure to facilitate a Data Driven Science Gateway and to provide INSPIRE/GEMINI compliance for CLIPC" - poster at EGU 2016
• "A Climate Information Platform for Copernicus (CLIPC): managing the data flood". Poster at 4th Nordic Conference on Climate ChangeClimate Change
  Climate change refers to a change in the state of the climate that can be identified (e.g., by using statistical tests) by changes in the mean and/or the variability of its properties, and that persists for an extended period, typically decades or longer. Climate change may be due to natural internal processes or external forcings such as modulations of the solar cycles, volcanic eruptions and persistent anthropogenic changes in the composition of the atmosphere or in land use. Note that the United Nations Framework Convention on Climate Change (UNFCCC), in its Article 1, defines climate change as: 'a change of climate which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and which is in addition to natural climate variability observed over comparable time periods'. The UNFCCC thus makes a distinction between climate change attributable to human activities altering the atmospheric composition, and climate variability attributa AdaptationAdaptation
  The process of adjustment to actual or expected climate and its effects. In human systems, adaptation seeks to moderate harm or exploit beneficial opportunities. In natural systems, human intervention may facilitate adjustment to expected climate and its effects., August 2016
• "Development of climate servicesclimate services
  Climate services involve the production, translation, transfer, and use of climate knowledge and information for decision making, policy and planning. The provision of climate information (observational, forecasts or projections) in a way that is relevant to climate-sensitive users, can inform decisions and can reduce the risk of misinterpretation. platforms with users: promises and pitfalls" Presentations at 4th Nordic Conference on Climate Change Adaptation, August 2016
• "Methodology for qualitative uncertaintyuncertainty
  Lack of precision or unpredictability of the exact value at a given moment in time. It does not usually imply lack of knowledge. Often, the future state of a process may not be predictable, such as a roll with dice, but the probability of finding it in a certain state may be well known (the probability of rolling a six is 1/6, and flipping tails with a coin is 1/2). In climate science, the dice may be loaded, and we may refer to uncertainties even with perfect knowledge of the odds. Uncertainties can be modelled statistically in terms of pdfs, extreme value theory and stochastic time series models. assessment of climate impact indicators" Poster at CORDEX conference, May 2016
• "A big data approach for climate change indicators processing in the CLIP-C project" Poster at EGU 2016
• "Methodology for qualitative uncertainty assessment of climate impact indicators" Presentation at EGU 2016
• "Forecasting European cold waves based on subsampling strategies of CMIP5CMIP5
  Fifth Coupled Model Intercomparison Project ensembles" Presentation at EGU 2016
• The use of Copernicus services in environmental monitoring at the EEA. CLIPC - Climate Information Portal for Copernicus (CLIPC).  European Space Solutions, 30 May - 03 June, 2016, The Hague, The Netherlands
• Presentation at ConfidenceConfidence
  The validity of a finding based on the type, amount, quality, and consistency of evidence (e.g., mechanistic understanding, theory, data, models, expert judgment) and on the degree of agreement. Confidence is expressed qualitatively (Mastrandrea et al., 2010). in Climate Services - Presenting Uncertainty with Confidence Workshop, Hamburg, February 2016
• "Assessment of high-‐resolution climate extreme indices over Europe based on daily precipitation and temperature data (Raw and Bias-­‐Adjusted) as issued from an ensemble of Euro-‐CORDEX simulations" Presentation at AMS 2016, January 2016
• "Scientific data analytics workflows at large scale with the Ophidia big data stack" Presentation at Earth Observation Open Science 2.0, October 2015
• CLIPC overview, May 2015, ECCA, Copenhagen
• Uncertainty assessment tools for climate change impact indicators, May 2015, ECCA, Copenhagen
• "Selecting regional climate scenarios for impact modelling studies" Presentation at EGU 2015
• The role of data standards in climate services, Reading, June 2015
• "Uncertainty assessment tool for climate change impact indicators" Poster at EGU 2015
• "CLIPC User Expectations" Presentation at Copernicus Climate Change Service Climate Data Store Workshop, March 2015
• "Ophidia: a big data analytics framework for eScience" Presentation at 2014 ESGF and UV-CDAT F2F Meeting, December 2014.
• "Climate change signal in an ensemble of bias-corrected regional climate scenariosscenarios
  Scenarios can be thought of as stories of possible futures. They allow the description of factors that are difficult to quantify. In the context of climate change scenarios are used for the future development of factors such as governance, social structures, future population growth, technical development and agriculture. These descriptions are essential to model the future climate. for Europe" Presentation at 14th EMS & 10th ECAC, October 2014
• "Selecting an optimum subset of climate models for climate impact studies" Presentation at 14th EMS & 10th ECAC, October 2014
• "A new high-resolution European region reanalysis dataset for RCMRCM
  A limitation of global climate models (GCMs) is their fairly coarse horizontal resolution. For most impact studies, such as evaluation of the future risks of floods or some types of landslides, droughts etc., the society requests information at a much more detailed local scale than provided by GCMs. Simply increasing the resolution is often not feasible because of constraints in available computer resources. A viable alternative is to embed a regional climate model (RCM) of higher resolution in relevant part of the GCM domain. RCM are complementary to GCM by adding further details to global climate projections, or to study climate processes in more detail than global models allow. evaluation and calibrationcalibration
  in climate predictions this is the procedure to make the forecasts reliable. This oftern comes at the cost of the accuracy and the skill of the forecasts. – first tests and comparison to other datasets" Poster at RCM2014
• Reducing model ensemble size - a sensitivitysensitivity
  The degree to which a system or species is affected, either adversely or beneficially, by climate variability or change. The effect may be direct (e.g., a change in crop yield in response to a change in the mean, range or variability of temperature) or indirect (e.g., damages caused by an increase in the frequency of coastal flooding due to sea-level rise). study Poster at RCM2014
• Introduction to CLIPC Presentation ar Adaptation Frontiers, March 2014
• "Whither climate scenarios for Europe?" Presentation at (Re)Thinking National Climate Scenarios workshop, December 2013

Administrative documents

• Feedback from Interim Review meeting (October 8th, 2014)
• CLIPC RP1 Reporting Schedule
  

Draft documents

• Poster: CLIPC presentation for ECCA 2015
  

Resources and links for project partners

• Partner resources and links

Logos:

CLIPC logo - please right clicl on the image below and select "save as" for a hi-res version.

  

User requirements for the ESA Climate Change Initiative (a position paper).