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Data Assimilation Education Forum Part II: Education Capabilities Panel Developing the Data Assimilation Skills to Meet Research, Development and Operational Needs January 21, 2008  presented by Richard D. Clark Chair , Department of Earth Sciences Professor of Meteorology Millersville University , Millersville, P A

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Data Assimilation Education ForumPart II: Education Capabilities Panel

Developing the Data Assimilation Skills to Meet Research,Development and Operational Needs

January 21, 2008 

 presented by 

Richard D. Clark Chair, Department of Earth Sciences

Professor of Meteorology 

Millersville University, Millersville, PA

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Data Assimilation: What·s the problem?

The potential advantages of data assimilation sciencecannot be attained because currently there is aserious scarcity of young professionals and scientists

with understanding and experience in dataassimilation. (Vukicevic et al., 2004)² The lack of formal education in the field typically results in

significant time spent learning on the job, both in researchand operations

² Students spend 70% of the time learning the DAS and themodel and 30% using it to address the research question

² How can we excite students about the 70%, which is oftenseen as drudgery?

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How is data assimilation being taught in university meteorologyprograms and should a separate course be designed?

Several graduate schools offer courses from thosethat directly target DA, to those with a spatteringof DA topics (e.g. objective analysis). The current

practice is typically not going to entice studentstoward DA research ² it·s a path toward another end

At undergraduate level, many schools offer courses inNWP with a DA component. Some schools connectcourses in measurement and observing systems with

NWP/DA ² this is where the excitement must begin! COMET® Program has developed a module specifically

to address DA

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In the future, will there be an adequate supply of trained dataassimilation scientists in both a national and an international

arena?

«we can instill in students/research mentors that research inDA systems has intrinsic merit because it is vitally importantfor optimally determining the state of the atmos/ocean, andever more so as increasing types and volumes of data from new

satellite platforms (e.g. COSMIC), ACARS, phased-array radarsand CI architectures become available.

«we can entrain students from a wide range of disciplines toengage in this research ² doubtful that atmospheric sciencesalone will be successful in achieving the disciplinary diversity

«we captivate the undergraduate atmospheric sciences majorwho is earning a second degree in mathematics and a minor incomputer science ² a combination that is more common today

«it emerges out a national DA education program or a lessformal effort driven by need to address this looming problem

NO! Unless«

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In terms of data availability, is the data you require forproviding teaching tools easily available?

Data is available via Unidata IDD/LDM: Surface; upper air;radar level II, satellite, ACARS, COSMIC, and variousmesonets upon request

Many schools are running WRF operationally and forresearch

CI/Meteorology research (e.g. LEAD) is creating serviceoriented architectures and user-driven workflows wherestudents can select from data types, DAS, models, and

other configuration elements Future DAS will have to handle streaming observations andsteerable observing systems (e.g. CASA), and data miningservices acting on observations and model output

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 NEXRAD, TDWR, NEXRAD, TDWR,FAA, NETRAD RadarsFAA, NETRAD Radars

High-Resolution,

Physically Consistent

Gridded Fields of all

Meteorological

Variables

Detection Algorithms Applied

to Gridded Fields

Features and Relationships

Data Assimilation

System

Alternative Approach: Data Assimilation

Other ObservationsOther Observations

ForecastForecast

Model OutputModel Output

ForecastModels

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Action is Needed

The emphasis on DA should be commensurate with theresources given to the operational and research DAenterprise

Internships/fellowships/post-docs can be tailored toresearch in DAS

Expand educational resources for DA using authenticinstances as case studies

Propose a curriculum grounded in: optimal control theory

from applied mathematics and statistics programs;observing technology used in the atmospheric, ocean, andland system state assessment; and modeling principles ofthe Earth systems, as recommended by Vukicevic et al.