Panel Discussion for the DTC Verification System 23 Feb 2007.

Slides:

Advertisements

Similar presentations

Chapter 13 The Data Warehouse

Advertisements

BEGIN!.  A. Counting of money A. Counting of money  B. Act of recording, classifying and recording data B. Act of recording, classifying and recording.

Modeling and simulation of systems Slovak University of Technology Faculty of Material Science and Technology in Trnava.

Designing a DTC Verification System Jennifer Mahoney NOAA/ESRL 21 Feb 2007.

AIR POLLUTION. ATMOSPHERIC CHEMICAL TRANSPORT MODELS Why models? incomplete information (knowledge) spatial inference = prediction temporal inference.

DataInformationKnowledgeAction  Data – a collection of facts made up of text, numbers and dates: Murray /18/86  Information - the meaning given.

4 - 1 Introduction to Data Processing Introduction l This chapter presents the four stages of the data processing cycle. 1Data input 2Data storage.

Designing the data warehouse / data marts Part 2.

1 Data & Database Development. 2 Data File Bit Byte Field Record File Database Entity Attribute Key field Key file management concepts include:

©2003 Prentice Hall Business Publishing, Accounting Information Systems, 9/e, Romney/Steinbart 18-1 Accounting Information Systems 9 th Edition Marshall.

1 ACCTG 6910 Building Enterprise & Business Intelligence Systems (e.bis) The Data Warehouse Lifecycle Olivia R. Liu Sheng, Ph.D. Emma Eccles Jones Presidential.

RESEARCH METHODS Lecture 19

GIS Definition & Key Elements 1 Geographic Information System [GIS] Continuum E. Atlas Thematic Mapper--CAC GIS.

ICPCA 2008 Research of architecture for digital campus LBS in Pervasive Computing Environment 1.

GTECH 201 Lecture 03 Data measurements Data errors.

GIS DATA AND SOURCES. Building Topography Land use Utility Soil Type Roads District Land Parcels Nature of Geography Objects.

Introduction to the course January 9, Points to Cover  What is GIS?  GIS and Geographic Information Science  Components of GIS Spatial data.

1 CONCENTRXSept 2000 Our Perspective “Integration without an architecture is like doing a jigsaw puzzle on your lap “ – R Tessier We look at the big picture.

Create Forms Lesson 5. Software Orientation Creating Forms A form is a database object –enter, edit, or display data from a table or query Providing.

The CRM Data Warehouse. I. Introduction to data warehouse II. Data warehouse architecture III. Data and process models.

Szekesfehervar 2012 Korkyt Ata Kyzylorda State University Korkyt Ata Kyzylorda State University Application of GIS for processing of soil data Yeleuova.

1 Introduction An organization's survival relies on decisions made by management An organization's survival relies on decisions made by management To make.

Barbara Brown 1, Ed Tollerud 2, and Tara Jensen 1 1 NCAR/RAL, Boulder, CO and DTC 2 NOAA/GSD, Boulder, CO and DTC DET: Testing and Evaluation Plan Wally.

Spatial Forecast Verification Methods Intercomparison Project: Forecast Quality Index Sukanta Basu Texas Tech University & Efi Foufoula-Georgiou University.

Data Warehouse Fundamentals Rabie A. Ramadan, PhD 2.

McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 5 Data Resource Management.

1 Categories of data Operational and very short-term decision making data Current, short-term decision making, related to financial transactions, detailed.

5 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.

1 Topics about Data Warehouses What is a data warehouse? How does a data warehouse differ from a transaction processing database? What are the characteristics.

6.1 © 2010 by Prentice Hall 6 Chapter Foundations of Business Intelligence: Databases and Information Management.

1 Categories of data Operational and very short-term decision making data Current, short-term decision making, related to financial transactions, detailed.

Leverage the data characteristics of applications and computing to reduce the communication cost in WSNs. Design advanced algorithms and mechanisms to.

UFCEKS-20-2Multimedia Authoring Times Table Quiz.

By Phileo Don - Okhuofu. DATA COLLECTION  Data can be collected by the use of questionnaires or data collection forms.  These could be printed out and.

UNIT 5 SHOW ME WHAT YOU KNOW!

Foundations of Business Intelligence: Databases and Information Management.

1 Categories of data Operational and very short-term decision making data Current, short-term decision making, related to financial transactions, detailed.

Efficient OLAP Operations in Spatial Data Warehouses Dimitris Papadias, Panos Kalnis, Jun Zhang and Yufei Tao Department of Computer Science Hong Kong.

Expert Systems. Learning Objectives: By the end of this topic you should be able to: explain what is meant by an expert system describe the components.

Data Resource Management Agenda What types of data are stored by organizations? How are different types of data stored? What are the potential problems.

Diagnostic verification and extremes: 1 st Breakout Discussed the need for toolkit to build beyond current capabilities (e.g., NCEP) Identified (and began.

BIT 3193 MULTIMEDIA DATABASE CHAPTER 5 : MULTIMEDIA DATABASE MANAGEMENT SYSTEM ARCHITECTURE.

The WRF Verification Toolkit Lacey Holland, Tressa Fowler, and Barbara Brown Research Applications Laboratory NCAR Lacey Holland, Tressa Fowler, and Barbara.

SQL SERVER AUDITING. Jean Joseph DBA/Consultant Contact Info: Blog:

The Need for Data Analysis 2 Managers track daily transactions to evaluate how the business is performing Strategies should be developed to meet organizational.

Verification of C&V Forecasts Jennifer Mahoney and Barbara Brown 19 April 2001.

DO YOU TRUST YOUR DATA? KNOW THE ANSWER WITH EIM! Jose Hernandez Director, Business Intelligence Dunn Solutions Group.

Configuration Control (Aliases: change control, change management )

Christoph F. Eick: Final Words COSC Topics Covered in COSC 3480  Data models (ER, Relational, XML)  Using data models; learning how to store real.

HIC Meeting, 02/25/2010 NWS Hydrologic Forecast Verification Team: Status and Discussion Julie Demargne OHD/HSMB Hydrologic Ensemble Prediction (HEP) group.

IT 210 Week 6 CheckPoint Algorithm Verification To purchase this material link CheckPoint-Algorithm-Verification.

ITEC 3220A Using and Designing Database Systems

Chapter 13 The Data Warehouse

Spatial Verification Intercomparison Meeting, 20 February 2007, NCAR

Data Warehouse.

مستودعات البيانات.

Characteristics of research

Topics Covered in COSC 6340 Data models (ER, Relational, XML (short))

Chapter 5 Data Resource Management.

برنامه‌ريزي منابع انساني

סדר דין פלילי – חקיקה ומהות ההליך הפלילי

Designing spatial and temporal data warehouses

RESEARCH METHODS Lecture 19

Verification of Tropical Cyclone Forecasts

You must show all steps of your working out.

CAATs Design, Implementation and Documentation

Presentation transcript:

Panel Discussion for the DTC Verification System 23 Feb 2007

Main Goal Begin to identify functional requirements for the DTC verification system

From the DTC System point of view: Characteristics of (You) the user –Type of activities you will use the system for Questions want to answer Types of forecasts want to use (F) Types of observations want to use (O) Granularity of F-O-M (spatial and temporal) –Data warehouse; derived data marts System response time Types of evaluations –Audit trail –Intercomparison of forecast products, model fields etc. –Other???

Verification Mechanics (FOM) Forecasts Observations Displays Verification System Components Finest Granularity Verification Elements (FOM) Apply storage Optimization Strategy Query interrogation to compute score Based on type of ‘user’ Questions asked