Stephen A. Vigeant: Shaw E&I Carl A. Mazzola: Shaw E&I H. Wesley Nance: Washington TRU Solutions Consideration of Micrometeorological Trends Consideration.

Slides:



Advertisements
Similar presentations
21M062007D The Shaw Group Inc. ® An Analytical Screening Technique to Estimate the Effect of Cooling Ponds on Meteorological Measurements – A Case Study.
Advertisements

SOME POSSIBLE USES OF CLIMATE INFORMATION
CURRENT METEOROLOGICAL HAPPENINGS THE SITING AND ACCIDENT CONSEQUENCES BRANCH DIVISION OF SITE AND ENVIRONMENTAL REVIEWS OFFICE OF NEW REACTORS Brad Harvey,
Determining a Backup Source of Meteorological Data for Dispersion Characteristics (Wind and Stability) Mark T. Carroll Heather A. McDonald Andrew J. Lotz.
1 Alberta Agriculture and Food (AF) Surface Meteorological Stations and Data Quality Control Procedures.
Session 11: Modeling Dispersion of Chemical Hazards, using ALOHA 1 Modeling Dispersion of Chemical Hazards, using ALOHA Prepared by Dr. Erno Sajo, Associate.
1 ANSI/ANS American National Standard for Determining Meteorological Information at Nuclear Facilities R. Brad Harvey, CCM Physical Scientist.
U.S. DOE Preparation for Shipping of Transuranic Radioactive Waste Cross Country – The Waste Isolation Pilot Plant (WIPP) O.W. “Lynn” Eaton, Manager External.
Temporal Comparison of Atmospheric Stability Classification Methods
Meteorological Data Issues for Class II Increment Analysis.
Weather and X/Q 1 Impact Of Weather Changes On TVA Nuclear Plant Chi/Q (  /Q) Kenneth G. Wastrack Doyle E. Pittman Jennifer M. Call Tennessee Valley Authority.
Unit 8.
Sonic vs. Cup/Vane Data Comparison at the Cooper Nuclear Station Jim Holian SAIC Jim Holian SAIC NUMUG Meeting St. Louis, MO October 2006 NUMUG Meeting.
Satellite and Tower Data Reveal Unique Climate Over the Southern Sierra Nevada Eric Waller Department of Environmental Science, Policy, and Management.
WMO/TECO Functional Testing of Surface Weather Instruments and Systems - Rodica Nitu Meteorological Service of Canada.
1 AirWare : R elease R5.3 beta AERMOD/AERMET DDr. Kurt Fedra Environmental Software & Services GmbH A-2352 Gumpoldskirchen AUSTRIA
Weather Unit How does weather impact us? Team Members.
Introduction to Air Pollution John Atkinson and Dr. Mark Rood Environmental Engineering and Science Program Department of Civil and Environmental Engineering.
Weather & Road Condition Product Improvements Enabled by Vehicle Infrastructure Integration (VII) William P, Mahoney Kevin R. Petty Richard R. Wagoner.
Air Quality and Pollution The challenge to manage our atmospheric resources well.
The Earth and its Atmosphere This chapter discusses: 1.Gases in Earth's atmosphere 2.Vertical structure of atmospheric pressure & temperature 3.Types of.
SODAR: Uses and Acceptance Laura Tabor Wind Engineering Intern EAPC Wind Energy Services August 7, 2009.
European Metrology Research Program (EMRP) MeteoMet Project (October 2011) WP3. Traceable measurements methods and protocols for ground based meteorological.
Tower SystemsJanuary AMS Short Course on Instrumentation 1 Installation and Use of Meteorological Tower Systems Melanie A. Wetzel Desert Research.
Evaporation Slides prepared by Daene C. McKinney and Venkatesh Merwade
Air Pollution Potential and Fire Weather Forecasting Anthony R. Lupo Atms Sci 4310 / 7310 Lab 9.
H.R The Government Waste Isolation Pilot Plant Extension Act of 2011.
Analysis of extreme precipitation in different time intervals using moving precipitation totals Tiina Tammets 1, Jaak Jaagus 2 1 Estonian Meteorological.
Basics of Prediction Meteorology 415 Fall Basics of Prediction Remember the importance of the diurnal cycle Remember the importance of the diurnal.
The use of the Mesonet in Oklahoma agriculture Clint Dotson Precision Ag April 16, 2007.
A NEW STANDARD IN METEOROLOGICAL MONITORING SYSTEMS INSTALLED AT THE PERRY NUCLEAR POWER PLANT Jim Holian (SAIC) and Jamie Balstad (First Energy Corp)
Documentation of surface observation. Classification for siting and performance characteristics Michel Leroy, Météo-France.
13 th Nuclear Utility Meteorological Data Users Group Meeting Lessons Learned From Establishing Design- and Operating-Basis Regional Meteorological Conditions.
Xin Xi Aspects of the early morning atmospheric thermodynamic structure which affect the surface fluxes and BL growth through convection:
Hastings, Nebraska National Weather Service Considerations for TAF Composition UNK Aviation Department October 12, 2006.
© TAFE MECAT 2008 Chapter 6(b) Where & how we take measurements.
Climate, Air Quality and Noise Graham Latonas Gartner Lee Limited RWDI Air Inc.
Large-Eddy Simulations of the Nocturnal Low-Level Jet M.A. Jiménez Universitat de les Illes Balears 4th Meso-NH user’s meeting, Toulouse April 2007.
Comparison of HIRLAM data with Sodankylä soundings – tools and results Evgeny Atlaskin Russina State Hydrometeorological University Saint-Petersburg.
Weather 101 Brainstorm Why do we study the weather? Create a concept map with as many words you know about weather.
Unique Quality Control Issues Derek S. Arndt Oklahoma Climatological Survey June 25, 2002.
Chronic Atmospheric Releases Using GENII V.2 EXAMPLE Dose Calculation for Chronic Atmospheric Releases Using GENII V.2 FRAMES-2.0 Workshop U.S. Nuclear.
Jericho Project Air Quality Assessment. TOPICS METHODOLOGY EMISSION SOURCES RESULTS AND ASSESSMENT MITIGATION AND MONITORING CONCLUSION.
Meteorology for modeling AP Marti Blad PhD PE. Meteorology Study of Earth’s atmosphere Weather science Climatology and study of weather patterns Study.
Introduction to Sensors and Calibration Factors. Choosing a suitable recording range on a data logger Logger will have several range options: e.g. -10.
Shear statistics in the lower troposphere and impacts on DWL data interpretation G. D. Emmitt and S. Greco Simpson Weather Associates WG on Space-Based.
Corn Yield Comparison Between EPIC-View Simulated Yield And Observed Yield Monitor Data by Chad M. Boshart Oklahoma State University.
Evaporation What is evaporation? How is evaporation measured? How is evaporation estimated? Reading for today: Applied Hydrology Sections 3.5 and 3.6 Reading.
Consulting and Technology Technical Excellence | Pragmatic Solutions | Proven Delivery Calibration Test Sites Selection and Characterisation WP 240 Equipment.
Hydrologic Losses - Evaporation Learning Objectives Be able to calculate Evaporation from a lake or reservoir using the following methods – Energy Balance.
Hydrologic Losses - Evaporation
Weather.
NAM in D-INSITU Slovenia.
Environmental Effects on Radon Concentrations
The Turbulent Structure of the Urban Boundary Layer
Meteorology Tools 5.02 Evaluate meteorological observing, analysis, and prediction: Worldwide observing systems. Meteorological data depiction Analyze.
Air Pollution and Control (Elective- I)
Weather Forecasts.
Land surface analysis over India using High Resolution Land Data Assimilation System (HRLDAS) H P Nayak and M Mandal Centre for Oceans, Rivers, Atmosphere.
Regression Statistics Regression Statistics
Predicting the Weather
Handbook on Meteorological Observations
Weather Forecasts.
Brief Synopsis of Air Quality and Local/Regional Meteorology
Weather Forecasts.
Predicting the Weather
Weather.
Predicting the Weather
PM10 trends in Switzerland using random forest models
Meteorological Measurements for Improved Air Quality Modeling
Presentation transcript:

Stephen A. Vigeant: Shaw E&I Carl A. Mazzola: Shaw E&I H. Wesley Nance: Washington TRU Solutions Consideration of Micrometeorological Trends Consideration of Micrometeorological Trends Associated with WIPP Meteorological Data October 9, 2003

OutlineOutline F WIPP facility and mission F Description of meteorological monitoring program program F Meteorological data validation process F Effect of micrometeorological trends on data validation and use validation and use F Conclusions

WIPP Facility and Mission F WIPP – Waste Isolation Pilot Plant F Underground disposal of Transuranic (TRU) waste and mixed TRU waste (TRU) waste and mixed TRU waste F Research and production of nuclear weapons and other defense related activities and other defense related activities F Safe, permanent and environmentally sound F 37,000 shipments over next 35 years

WIPP Location

WIPP Facility

WIPP Meteorological Monitoring Program F 50-meter tower F Instrumentation at 2, 10, and 50 meters F Wind speed, wind direction, temperature F Ground level pressure, relative humidity, precipitation, solar radiation precipitation, solar radiation F Data logger

WIPP Meteorological Monitoring Program

Data Validation Process F Parameter screening criteria F Manual scan of data F Calibration and surveillance notes F Review of surface maps F Professional judgement

Parameter Screening Criteria ParameterDescriptionFlag Wind SpeedValue < 0.3 m/sBelow threshold speed Value > 22 m/sAbove climatology No change in 4 hrsCheck Bearing 10-m > 50-mUnusual occurrence > 4 m/s changeAbrupt change Wind DirectionValue < 0 o Out of range Value > 360 o Out of range > 50 o change, WS > 4 m/sUnusual occurrence meter > 25 o difference, Unusual occurrence WS > 4 m/s

Parameter Screening Criteria ParameterDescriptionFlag TemperatureValue < -25 o CBelow climatology Value > 45 o C Above climatology > 6 o C change in 2 hrs Unusual occurrence > 11 o C change in 3 hrs Unusual occurrence < 0.5 o C change in 12 hrs Unusual occurrence

Parameter Screening Criteria ParameterDescriptionFlag TemperatureValue > 1.5 o C/100 mUnusual occurrence Temperature Value > 1.5 o C/100 mUnusual occurrence DifferenceValue < -1.5 o C/100 nightUnusual occurrence Value > 6.25 o C/100 m, Unusual  T-wind 2-m WS > 4 m/s Value < o C/100 m, Unusual  T-wind 2-m WS > 4 m/s Value > -0.4 and -0.4 and <0.4 o C, Unusual  T-wind 10-m WS < 1 m/s > 2 o C change in 15 minAbrupt change Value > 15 o C/100 m Unusual inversion Value < 3.4 o C/100 m Autoconvective lapse

Meteorological Data Applications F Database development for dispersion modeling F Annual site environmental report preparation F Support of emergency response actions F Support of ambient radon concentration predictions predictions F Determination of safe conditions for crane/raised platform work platform work

Micrometeorological Trends F 10-m wind speeds > 50-m wind speeds F > 25 deg difference in 10- and 50-m wind directions directions F Occurrences of autoconvective lapse rates F Occurrences of extreme inversions F Inversions persisting into mid morning

Micrometeorological Trends F Semi-arid desert climate  Large vertical variations F Nocturnal boundary layer F Decoupling of surface layer F Low-level jet

10-m > 50-m Wind Speeds

> 25 o Difference in Wind Directions

Effects on Data Applications  Data recovery F Atmospheric dispersion calculations F Emergency response F Ambient radon predictions  Data recovery F Atmospheric dispersion calculations F Emergency response F Ambient radon predictions

Conclusions  Awareness of micrometeorological trends F Unusual meteorological regime F Avoid invalidating good data F Data recovery F Impacts on applications  Awareness of micrometeorological trends F Unusual meteorological regime F Avoid invalidating good data F Data recovery F Impacts on applications