AN OVERVIEW OF THE TVA METEOROLOGICAL DATA MANAGEMENT PROGRAM

NUMUG June 30, 2005

Wayne Hambergerlwhamber@tva.gov

(865) 632-4222

Background and Recent Information

TVA meteorological data management program last year went through a self assessment (audit) and findings are being implemented this summer. Findings involve training more folks in data management, dedicating a server to share information from different locations, converting paper records to electronic, improving data flags. Updated data management procedure last month with flowcharts describing process. I will point out recent changes throughout the presentation.

TVA METEOROLOGICAL DATA MANAGEMENT OUTLINE

Meteorological instruments Data collection and processing Data reviewData validation and processing Data archival and retrieval

Meteorological Instrumentation

Wind Direction and SpeedAir TemperatureDew Point TemperatureSolar RadiationPrecipitation

Watts Bar Meteorological Tower

Meteorological InstrumentationWind Direction and Speed

• 91, 46, & 10 Meters• Ultrasonic wind

sensor• WD & WS calculated

from speed of sound differences along 3 axes

• Measured every 5 seconds

Meteorological InstrumentationAir Temperature

• 91, 46, and 10 meters− ∆T for 91-10, 91-46, and

46-10 layers

• Platinum resistance thermometer (RTD)– Resistance is a function

of temperature

• Mounted in motor aspirated shield

• Measured every minute

Meteorological InstrumentationDewpoint Temperature

• 10 meters – On separate tower

• Platinum resistance thermometer (RTD)

• Chilled mirror with air pump in EDS

• Measured every minute

Meteorological InstrumentationSolar Radiation

13

• 1 meter (surface)• Pyranometer• Differential

thermocouple with alternating black and white surfaces

• Measured every 15 seconds

TVA METEOROLOGICAL DATA MANAGEMENT OUTLINE

Meteorological instruments Data collection and processingData reviewData validation and processing Data archival and retrieval

Weather-relateddesign input

Rainfall Data forNPDES Permit

ClimatologicalReviews

General Use

Cooling TowerOperations

Operational &River Studies

ValidatedData

EmergencyPreparedness

General UseJFDs for Dose

Assessment

FSAR input

RiverScheduling

nuclear plantIntegratedComputer

System(ICS)

EnvironmentalTechnologies

TVANuclear

DataUsers

15-minute & 1-hourData Summaries

5-second, 15-second,1-minute, & 15-minute

Raw Data Signals

15-minute & 1-hourData Summaries

1-minute, 15-minute,& 1-hour Data Summaries

RemoteAccess

Computer

EDSComputer

AccidentDose

Estimates

CECCComputer

Scan & Copyto Server

(as needed)

TransferRecords Files(as needed)

1 or both

SERVER

LOCALPC

LOCALPC

RemoteAccess

Computer(RAC)

Muscle ShoalsPC

Meteorological Data Calibration and Maintenance Records

Manualtransfers

performedby clerical

staff.Automatictransfers.

Manualtransfers.

Manualtransfers

performed bymeteorologists.

KnoxvillePC

EDSData

Computers

Meteorological Data- Hourly- 15-minute

Meteorological Data- Hourly- 15-minute

EPFS CentralLabs

Data Transmission

The following data and units are transmitted:• Resultant Wind Direction (degrees) - direction blowing from• Resultant Wind Speed (miles/hour)• Average Wind Speed (miles/hour)• Sigma Theta (degrees) - standard deviation of wind direction• Air Temperature (degrees F)• Dew Point Temperature (degrees F)• Solar Radiation (langleys/minute)• Rainfall (inches)

TVA METEOROLOGICAL DATA MANAGEMENT OUTLINE

Meteorological instruments Data collection and processing Daily Data reviewData validation and processing Data archival and retrieval

Meteorological Hourly Data printoutFlagged Hourly Data printout

Air Temperature/Dewpoint Hourly Data printoutAir Temperature 15-minute Data plot

Air Temperature/Dewpoint Hourly Data plot

wm*.xls wm*.prn wm*.raw wt*.rawsm*.xls sm*.prn sm*.raw st*.rawbm*.xls bm*.prm bm*.raw bt*.raw

flagmet.xls dpt.xls mettemp2.xls

Meteorological Data- Hourly- 15-minute

Start

Determine ifproblemsolving

is needed

Performinitial datascreening

Copyto

Server

Preparedata

summaries

Missing oranomalous

data?

Yes

A5

A3

A4

A2

Downloaddata

from RAC

A1

D1

No

Proceed toData Validation

B

A

Proceed toProblem Solving

SERVER

LOCALPC

10 M TEMP VS 10 M DPTSQN/WBN

4042444648505254565860626466687072747678

100

200

300

400

500

600

700

800

900

1000

1100

1200

1300

1400

1500

1600

1700

1800

1900

2000

2100

2200

2300

2400

HOURS

DEG

REE

S 052805 SQN AT052805 SQN DPT052805 WBN AT052805 WBN DPT

66

68

70

72

74

76

78

80

82

0 44 129

214

259

344

429

514

559

644

729

814

859

944

1029

1114

1159

1244

1329

1414

1459

1544

1629

1714

1759

1844

1929

2014

2059

2144

2229

2314

TIME

DEG

REES

F

060305 10M AIR T 060305 46M AIR T 060305 91M AIR T

Sequence of Events to Resolve 10 Meter Air Temperature Problem

• Any maintenance activity contributing to spike and drop?• Field SIMs troubleshoot on ground and at 10 meters and

found no problems but tighten connections. • Abnormal spiking and dropping returns 3 days later.• Computer group obtains 1 minute readings from plant

computer. Erroneous data are few, but bad data has large errors and skew 15 minute averages.

• Consulting with field SIM, computer, and program leads points to a bad RTD. Field SIMs arrange for climber to exchange set of RTDs.

• Erroneous readings become more frequent until climber exchanges RTDs.

• New set of RTDs eliminate erroneous data. RTDs sent to instrumentation lab for ‘as found’ calibration.

• Problem Evaluation Report (PER) documents problem and corrective action for trending purposes.

TVA METEOROLOGICAL DATA MANAGEMENT OUTLINE

Meteorological instruments Data collection and processing Daily Data reviewData validation and processing Data archival and retrieval

DataValidation

Log

Problemresolved

?

Problemresolved

?

TVANPER

Required?

Problemresolved

?

Reviewrecords

ContactEPFS

NotifyTVAN

Consult withCLS, CEG,EnvTech,

TVAN, etc.

Initiatediscussionsfor recurring

problems

Documentactionstaken

A6

A11

D2

A7 A10

D3

D5

D4A8 A9

Yes

Yes

Yes

Yes

FromData Validation

No

No

No

No

DA

FromInitial Analysis

Proceed toData Validation

C

SERVER

Assemblenecessarymaterials

Performsupplemental

dataprocessing

Datacorrectionnecessary

?

Sensorexchange

?

Additionalproblems

?

Reviewinformation

Verify datacorrectionwith EPFS

Examinerecords for

sensortraceability

Documentactions &

information

Reviewdigitaldata

Create“marked-up”

data file

Recover/adjustdata

(as needed)

Verify dataagrees withmeteorologyconditions

Yes

Yes

Yes

No

NoNo

Daily digital hourly data files or printouts.15-minute data files or printouts of daily air temperature graphs.Flagged hourly data.EPFS records associated with sensors or equipment.CLS records associated with sensors or equipment.Data Validation Log (DVL).

Daily Weather Maps.Problem Evaluation notification and other Correspondence.Weather Observations and/or images from Internet.Close interval data or plots of observations requested from CEG.

Factors in the judgment of questionable valuesConcurrent synoptic situation.

Topographical influences.Concurrent data from nearby sites.

Continuity.Site climatology.Seasonal trends.

Collection system characteristics.JFDs of meteorological data.

Data before and after a sensor exchange.

D

E

Proceed toProblem Solving

Upd

ated

Data

Files

Data

Valid

ation

Info

rmat

ion

Proceed toData

Processing

A12

A13

D6

A14

D7

A15

A16

A17

A20

A21

A18 A19

D8

FromProblemSolving

C B

FromInitial

Analysis

DataValidation

Log(DVL)

SERVER

LOCALPC

Makechanges to

data file

Reformatfiles for

Mainframe

Perform filemaintenance

Periodicallysend files toMainframe

Generateand distribute

reports

OtherReports

(as needed)

DataRecoverability

Report(Quarterly)

CD-ROM’s ofraw andvalidated

data

Stop

A26

A22

A23

A24

A25

E

FromData

Validation

SERVER

ArchiveFiles

(validateddata)

Conclusion

Using EXCEL and macros to collect and process data, edit and plot data, and create file to be archived is quick, efficient, and convenient for others in TVA to use. Recently changed process so personnel from Muscle Shoals can perform data review.Data validation manual will be written to document details so different personnel can implement data management function. Use more climatology and close interval data plots to improve flagging data during daily review.Acknowledgements Any questions??