Quality Management in Climate Data and Monitoring

Transcription

1 WMO Quality Management in Climate Data and Monitoring Peer Hechler, Omar Baddour WMO; Data Management Applications Division

2 Introduction Challenge/opportunity: WMO Translate QM principles as per - WMO Technical Regulations, Volume IV, Quality Management - WMO Guide to the Implementation of a QMS for NMHSs - (WMO Guidelines for Implementing QMS in Hydrology) - etc. into topic-specific, practical guidance.

3 Introduction WMO In doing so, consider the essence of QM: -> Well-ordered processes with defined responsibilities and consistent and exhaustive documentation: Say what you do Do what you say Check that you are doing what you say Evaluate and improve.

4 Introduction Practical QM aspects (pragmatic view, not exhaustive): WMO User requirements Feedback mechanism (User fora) Documentation updates Accessibility of information Performance indicators Meeting reports and action lists Documented processes Product catalogue and product descriptions Contact persons Reference documents Back-up processes Training requirements and opportunities; defined competencies

5 Climate data and monitoring: Practical QM aspects Examples of WMO data-related standards and guidelines: Guidelines on Analysis of Extremes in a Changing Climate in Support of Informed Decisions for Adaptation, Guide to Climatological Practices, Manual on the GDPFS, Guidelines on Climate Data Management, Technical Regulations, Guidelines on Climate Data Rescue, Manual on Codes, Guidelines on Climate Metadata and Homogenization, Guidance on the Development of Long-term Daily Adjusted Temperature Datasets, Guidelines on the Submission of World Weather Records, The Role of Climatological Normals in a Changing Climate, Guidelines for Managing Changes in Climate Observation Programmes, Calculation of Monthly and Annual 30-Year Standard Normals, Guide to Meteorological Instruments and Methods of Observation, WMO Climate Data Management System Specifications

6 Climate data and monitoring: Practical QM aspects Are these documents known by NMHSs and users? WMO Are these documents easily detectable? Are these documents easily accessible? Are these documents consistent? Are these documents updated? Do these documents facilitate process-oriented QM approaches? Are focal points for these documents known? Is there any formalised feedback process implemented? Are the user requirements for these documents known? Are the user requirements for these documents documented? Are relevant training needs and opportunities known?

7 Climate data and monitoring: Practical QM aspects Examples of WMO data and monitoring-related products: National, regional, global datasets: various parameter, station data or gridded data, spatial fields and time-series data, various data set construction methodologies, various QC/QA approaches etc. National, regional, global climate monitoring products: various parameter or indices, various temporal and spatial resolutions, various methodologies to generate monitoring products, various QC/QA approaches, various underlying data sets, various underlying reference periods, various ways of vizualisation etc.

8 Climate data and monitoring: Practical QM aspects Are these data and products known by NMHSs and users? WMO Are these data and products easily detectable and accessible? Are these data and products consistent and up-to-date? Have these data and products been produced following processoriented QM approaches? Are quality levels documented and accessible? Are methodologies to produce data and products documented and accessible? Are focal points for these data and products known? Is there any formalised feedback process implemented? Are the user requirements for these data and products known and documented? Are relevant training needs and opportunities known?

9 Climate data and monitoring: Practical QM aspects Overall initial position: Many QM-relevant elements are in place already, including ETs/TTs with ToRs, membership, meeting reports and action lists; Standards, guidelines and best practices; CCl QM WebSite etc. Specific shortcomings comprise: Information accessibility, documentation updates, user dialogue, process definition, product catalogues and descriptions incl. contact persons etc. Full analysis needed!!

10 Climate data and monitoring: Practical QM aspects Suggested priority actions: Complete the above analysis; put existing pieces together and identify gaps Consolidate key technical documents and references by introducing relevant (generic) standard processes (identify target set of documents, update/upgrade existing documents accordingly or develop new ones where needed) Draft a very short and concise guideline (1 to 4 pages) for NMHS on pragmatic practical QM aspects (cf. slide 4 above) and implement these aspects at WMO Centres Further enliven the existing WebSite Quality management for Climatology (qmc.mgm.gov.tr)

11 Climate data and monitoring: QM-relevant developments Identified challenge Potential solution Members run a variety of CDMSs which offer different functionalities, underpinned by heterogeneous calculation methods Members use different methods to calculate Climatological Standard Normals Members apply different, if any, methods for preserving climate data Members apply different methods for formatting, storing and preserving climate-relevant remotely-sensed and model data Definition of WMO CDMS Specifications Updated definition of Standard Climatological Normals International DARE portal including provision of best-practice guidance and tools Development of climate data management requirements and procedures for remote-sensing and model data

12 Climate data and monitoring: QM-relevant developments -> Evolution of a High-Quality Global Data Management Framework for Climate (HQ GDMFC) to ensure that high quality, timely and accessible climate data from all possible sources (land, upper-air, and marine data; including in-situ, remotely-sensed and model data) are available to support robust climate change monitoring and climate services. HQ-GDMFC endeavor will review and consolidate much of existing data management practices; to be accompanied by QM expert!?

13 Climate data and monitoring: QM-relevant developments Definition of standard climate monitoring products (TT NCMP) Definition of extreme weather and climate events (TT DEWCE) Implementation of I-DARE (ET DARE) CCl statement on observational requirements (TT SOGON) Guidance on homogenisation (TT HOM) Guidance on the use of remote sensing data (TT URSDCM) Update of the Guide to Climatological Practices (TT GCP) Further develop WMO CDMS Specifications (ET CDMS) Rather then trying to implement QM exhaustively immediately, ensure that ongoing and future developments (i) will in line with QM and (ii) will support the implementation of QM in climatology!!

14 Thank you for your attention