© Crown copyright Met Office Pass the baton: Verification and the NCOF product chain Andy Saulter, Business Support and Waves.

Slides:



Advertisements
Similar presentations
Evaluating and Institutionalizing
Advertisements

Standardized Scales.
PROJECT RISK MANAGEMENT
Splinter Session – ‘Space Weather Metrics, Verification & Validation.’ Thursday 20 th Nov., 16: :00 Splinter session - Space weather metrics, verification.
Page 1© Crown copyright 2006ESWWIII, Royal Library of Belgium, Brussels, Nov 15 th 2006 Forecasting uncertainty: the ensemble solution Mike Keil, Ken Mylne,
SIPR Dundee. © Crown copyright Scottish Flood Forecasting Service Pete Buchanan – Met Office Richard Maxey – SEPA SIPR, Dundee, 21 June 2011.
Balfour Bea~y Scoring the 6 Main Standards Jim Kirk FCQI CQP.
In Europe, When you ask the VET stakeholders : What does Quality Assurance mean for VET system? You can get the following answer: Quality is not an absolute.
© Crown copyright Met Office Scottish Institute For Policing Research Alan Motion, Business Manager Government Services University of Dundee, 21 st June.
The basics of quantifying qualitative scenarios By Gerald Harris Author, The Art of Quantum Planning.
Tool: Benchmarking Purpose: provide realistic goals and direction; monitor performance; improve processes to match the best in Higher Education. Benchmarking.
Gridded OCF Probabilistic Forecasting For Australia For more information please contact © Commonwealth of Australia 2011 Shaun Cooper.
Supporting people with a learning disability Introduction to Project Management Presenter: Steve Raw FInstLM, FCMI.
Return On Investment Integrated Monitoring and Evaluation Framework.
The Power of Information: Rating and Disclosing Building Energy Performance Alexandra Sullivan US EPA, ENERGY STAR December 2, 2009.
© Crown copyright Met Office Cost benefit studies for observing systems Stuart Goldstraw, Met Office, CBS-RA3-TECO-RECO, 13 th September 2014.
OPERATIONS MANAGEMENT for MBAs Fourth Edition
IIBA Denver | may 20, 2015 | Kym Byron , MBA, CBAP, PMP, CSM, CSPO
Upstream Engineering Centre Ocean predictions and the oil and gas industry - room for improvement? Colin Grant Metocean Technical Authority.
The Strategic Role of Information in Sales Management
Key Performance Indicators - KPI’s
RSBM Business School Research in the real world: the users dilemma Dr Gill Green.
McGraw-Hill/Irwin Copyright 2006 by The McGraw-Hill Companies, Inc.
1 Introduction to Econ.. 2 What is Economics? Some definitions of economics: The social science concerned with how individuals, institutions, and society.
RESEARCH A systematic quest for undiscovered truth A way of thinking
Overall Teacher Judgements
Define the problem to be solved. Measure the current performance. M.
Performance Measurement and Analysis for Health Organizations
Chapter 10 Contemporary Project Management Kloppenborg
Risk Management - ACostE Kate Boothroyd FIRM Director, KB Risk Consulting Limited.
Exploring the use of QSR Software for understanding quality - from a research funder’s perspective Janice Fong Research Officer Strategies in Qualitative.
Business Analysis and Essential Competencies
IPA Funds Programme Management sept Bölgesel Rekabet Edebilirlik Operasyonel Programı’nın Uygulanması için Kurumsal Kapasitenin Oluşturulmasına.
UNEP Training Resource Manual Topic 11 Slide 1 Aims of EIA implementation and follow up are to: F carry out conditions of approval F ensure they work effectively.
© OECD A joint initiative of the OECD and the European Union, principally financed by the EU. Quality Assurance José Viegas Ribeiro IGF, Portugal SIGMA.
Understanding customer expectations and perceptions
2 FOR INTERNAL USE ONLY Project Chartering  Define the components of a project charter  Develop a project idea into an effective project charter  Review.
1 Unit 1 Information for management. 2 Introduction Decision-making is the primary role of the management function. The manager’s decision will depend.
Monitoring & Evaluation: The concepts and meaning Day 9 Session 1.
The Scientific Method. Steps of Scientific Method 1.Observation: notice and describe events or processes 2.Make a question 1.Relate to observation 2.Should.
Accuracy Assessment Having produced a map with classification is only 50% of the work, we need to quantify how good the map is. This step is called the.
ISO 9001 – an overview Tor Stålhane IDI / NTNU. ISO 9001 and software development ISO 9001 is a general standard – equally applicable to software development.
Programme Objectives Analyze the main components of a competency-based qualification system (e.g., Singapore Workforce Skills) Analyze the process and.
© Crown copyright Met Office Probabilistic turbulence forecasts from ensemble models and verification Philip Gill and Piers Buchanan NCAR Aviation Turbulence.
Implementation and follow up Critically important but relatively neglected stages of EIA process Surveillance, monitoring, auditing, evaluation and other.
Introducing Project Management Update December 2011.
Course summary TDT4235 Tor Stålhane IDI / NTNU. What we try to do QA – Create trust to a product or service SPI – Solve fuzzy problems by –Identifying.
Supporting NHS Wales to Deliver World Class Healthcare All Wales Stroke Services Improvement Collaborative All Nations Centre, Cardiff 4 th November 2008.
Business Analysis. Business Analysis Concepts Enterprise Analysis ► Identify business opportunities ► Understand the business strategy ► Identify Business.
We provide web based benchmarking, process diagnostics and operational performance measurement solutions to help public and private sector organisations.
We provide web based benchmarking, process diagnostics and operational performance measurement solutions to help public and private sector organisations.
© Crown copyright Met Office WAFC CAT verification Objective verification of GRIB CAT forecasts Dr Philip G Gill, WAFS Workshop on the use and visualisation.
Hydrological forecasting: application, uncertainty, estimation, data assimilation and decision making EGU – Wien, 7th april 2011 The Po flood management.
Catholic Charities Performance and Quality Improvement (PQI)
Internal Auditing Effectiveness
The FDES revision process: progress so far, state of the art, the way forward United Nations Statistics Division.
Introduction to Factory Thinking Andy Fielding, Costain.
Search Engine Optimization © HiTech Institute. All rights reserved. Slide 1 Click to edit Master title style What is Business Analysis Body of Knowledge?
REBUILD AMERICA. Why look at the bills? l Bills are the bottom line –they prove the savings!
© Crown copyright Met Office Verifying modelled currents using a threshold exceedance approach Dr Ray Mahdon An exploration of the Gerrity Skill Score.
Company LOGO. Company LOGO PE, PMP, PgMP, PME, MCT, PRINCE2 Practitioner.
Improving performance, reducing risk Dr Apostolos Noulis, Lead Assessor, Business Development Mgr Thessaloniki, 02 June 2014 ISO Energy Management.
INTRODUCTION: The objective of this lesson is to acquaint learners with the roles of the ‘STAKEHOLDERS’ in the business environment. The typical high street.
CRITICALLY APPRAISING EVIDENCE Lisa Broughton, PhD, RN, CCRN.
EC-PHORS GCW YOPP The WMO Global Cryosphere Watch (GCW) is an international mechanism for supporting all key cryospheric in-situ and remote sensing observations.
Steps towards evaluating the cost-benefit of observing systems
Resource 1. Evaluation Planning Template
Portfolio, Programme and Project
Tracie Wills Senior Commissioning Officer
Backtesting.
Presentation transcript:

© Crown copyright Met Office Pass the baton: Verification and the NCOF product chain Andy Saulter, Business Support and Waves

© Crown copyright Met Office Why verify? Why pass the baton? Two purposes to scientific verification of our product set.. 1. To prove to ourselves and our peers that the research and development that we do is scientifically valid, and an improvement on the status quo 2. To quantify the risk taken by those who use what we create in their work and decision making

© Crown copyright Met Office Why verify? Why pass the baton? 2. To quantify the risk taken by those who use what we create in their work and decision making ‘To face the sea is, to be sure, no light matter when the sea is in its grandest mood. You must the know the sea, and know that you know it, and not forget that it was made to be sailed over’ – Joshua Slocum (1 st solo circumnavigator – ) This talk will concentrate on this second use of our verification Developing and communicating the necessary metrics to fulfil this function is not always something we do well However, supplying unbiased statements of risk alongside our products should be a key element both within an NCOF product development chain and to the end user – we must clearly communicate risk when we ‘pass the baton’

© Crown copyright Met Office Risk in decision making – breakdown of an end-user decision I want to go surfing Apply cost benefit model High Benefit vs Cost Low requirement for risk information Low Benefit vs Cost Nil requirement for risk information Marginal Scenario High requirement in close analysis of forecast + risk Apply if at marginal thresholds for beach / board Need significant confidence in a positive outcome based on my forecast

© Crown copyright Met Office Risk in decision making – mitigation in the field, ‘alpha factor’ Alpha is employed by Det Norske Veritas, a major international classification firm – responsible for certifying and assuring offshore operations worldwide Alpha factors are applied to weather forecasts for defined working thresholds (often significant wave height) in order to assure that only a low percentage of forecasts would ‘miss’ an event where the threshold is exceeded

© Crown copyright Met Office Risk in decision making – mitigation in the field, ‘alpha factor’

© Crown copyright Met Office Risk in decision making – mitigation in the field, ‘alpha factor’

© Crown copyright Met Office Risk in decision making – mitigation in the field, ‘alpha factor’ Alpha is employed by Det Norske Veritas, a major international classification firm – responsible for certifying and assuring offshore operations worldwide Alpha factors are applied to weather forecasts for defined working thresholds (often significant wave height) in order to assure that only a low percentage of forecasts would ‘miss’ an event where the threshold is exceeded The ‘cost’ of a conservative alpha are excessive numbers of false alarms and increased deployment times for construction vessels – often these ships and rigs are hired at rates of £10ks per day

© Crown copyright Met Office Verification and the NCOF product chain PROCESS MODEL CASE STUDIES OPERATIONAL MODEL (TESTING) OPERATIONAL MODEL PRODUCTS END USER

© Crown copyright Met Office Verification and the NCOF product chain PROCESS MODEL CASE STUDIES OPERATIONAL MODEL (TESTING) OPERATIONAL MODEL PRODUCTS END USER Potential knock on effects for wider model Everyday scenarios may not be covered; domain/run time compromises Performance in new scenarios – how does test period relate to wider climatology? Performance changes versus existing system; under forecast forcing? Aligning performance measure(s) to decision risk

© Crown copyright Met Office Verification and the NCOF product chain Some ground rules for ‘passing the baton’.. Assume that familiarity with the science will decrease through the product chain – but that an interested end-user will expect a complete ‘audit trail’ Verification metadata must be clear through all stages Know your ‘customer’ (immediate next step in the chain) and provide information on potential negatives as well as positives Geo-referencing verification information is vital Regions for area based verification must be appropriate

© Crown copyright Met Office Geo-referencing verification information ‘Whole domain metrics’ are not very often the most appropriate for real world applications

© Crown copyright Met Office Verification and the NCOF product chain Questions to ask ourselves.. What happens next with my work? What are the key issues, parameters, time and space scales that interest the next stage? Do my verification metrics assess risk for (any or all of) these? Are the metrics and their outcomes explained clearly? Are gaps identified?

© Crown copyright Met Office Theory into practise – proposed verification for Met Office operational wave forecasting Metrics have an identified purpose

© Crown copyright Met Office Theory into practise – proposed verification for Met Office operational wave forecasting Metrics have an identified purpose General Model Performance Statistics Key performance indicators that define the model’s overall performance for broadscale domains and provide a simple baseline for measuring improvement. Model Intercomparison Statistics Agreed indicators from data exchanges that allow headline comparison of different centre’s models Process Study Statistics Indicators of specific model performance characteristics (e.g. swell arrival time, wind- sea growth) Model vs Remote Sensing vs In-Situ Statistics 3-way comparison to test a) model and remote sensing errors vs an in-situ benchmark, b) allow estimates or model error with global coverage. These analyses should provide a pre-cursor to the introduction of global post processing or data assimilation methodologies. Forecaster Guidance Statistics Regional analyses aimed at providing forecasters with ‘rules of thumb’ in interpreting wave model performance for given locations. Customer Focused Verification Regional or site based analyses providing customers with an easily interpreted guide to forecast performance and assessment of risk associated with taking forecast data. These statistics should also provide a comparison between model and human intervened forecast performance.

© Crown copyright Met Office Theory into practise – proposed verification for Met Office operational wave forecasting Metrics have an identified purpose Customer focused verification should be provided covering a number of key strategic areas for wave forecasting (e.g. 4 or 5 regions covering the North Sea)

© Crown copyright Met Office DNV Alpha metrics – study locations

© Crown copyright Met Office Theory into practise – proposed verification for Met Office operational wave forecasting Metrics have an identified purpose Customer focused verification should be provided covering a number of key strategic areas for wave forecasting (e.g. 4 or 5 regions covering the North Sea) A regular update cycle and method of publication must exist in order to communicate the results to those needing the information

© Crown copyright Met Office Theory into practise – referencing skill assessment to customer questions Output CategoryUsageCustomer Question Qualitative Climatological Indicates climatological process differences in area, could be used to plan a monitoring programme [Planning] Where should I monitor in order to understand / warn for my area of interest? Quantitative Climatological Provides broadscale quantification of climate variations over an area [Planning] How do regions of my area compare in terms of operability or resource? Qualitative ForecastIndicates events in the broadscale; could be used to describe how events relate to a reference climatology [Response] Should I monitor developments in a certain region of my area more closely in the future? Quantitative ForecastWarns of broadscale events and allows quantification of risk relative to an operating threshold [Response] Can I quantify risks / opportunities for my operations in regions of my area in future? Area based information

© Crown copyright Met Office Thank you for listening You are here because you are driving NCOF product development Have a beer, have a chat, get someone else’s perspective.. Think about how best to pass the baton…