Investigating low-level jet wind profiles using two different lidars
|
|
|
- Aubrey Hood
- 5 years ago
- Views:
Transcription
1 Investigating low-level jet wind profiles using two different lidars B.J. Vanderwende 1 J.K. Lundquist 1,2 1. Atmospheric and Oceanic Sciences University of Colorado Boulder, CO USA 2. National Renewable Energy Laboratory Golden, CO USA We would also like to acknowledge collaborators at the University of Colorado, Iowa State University, and Los Alamos National Laboratory Tuesday, 10 June st Symposium on Boundary Layers and Turbulence
2 Relevant results of past Great Plains nocturnal low-level jet (NLLJ) studies Summer Great Plains nocturnal jet typically centered over OK/NE Produced by inertial oscillation and baroclinicity from sloping terrain Bonner
3 Relevant results of past Great Plains nocturnal low-level jet (NLLJ) studies Summer Great Plains nocturnal jet typically centered over OK/NE Produced by inertial oscillation and baroclinicity from sloping terrain NLLJ connected to precipitation and severe weather Jiang et al
4 We examine LLJs in central Iowa during the 2013 Crop Wind Energy Experiment 05 Aug 10 Aug Data Availability Leosphere/NRG: V1 profiling lidar 200S scanning lidar 14 Aug Range: Output: 40 up to 220 m 3D wind vector 100 up to 5000 m Line-of-sight wind 20 Aug 28 Aug 05 Sep 5
5 Two different retrieval techniques are used to obtain profiles from the lidars V1 lidar (Doppler beam swinging) 4 radial wind components System of equations gives 3D vector 200S lidar (velocity azimuth display) Use least-squares fit of radial winds Parameters related to U,W,θ Figures from Weitkamp
6 Strong agreement in lidar overlap region provided confidence in VAD retrievals Sampling times vary between lidars V1: 4 Hz 200S: 3 minutes Sampling volumes increase with height above ground level (AGL) Night (20-06 LT) Day (06-20 LT) Sampling volume average diameter Height AGL V1 Lidar 200S Lidar 40 m 21 m N/A 200 m 105 m 54 m 2000 m N/A 536 m 7
7 Individual 200S profiles are used to detect NLLJs through a 1900 m layer Wind Speed Profile 1900 m LLJ V crit V crit V max > V crit V max > V crit We used Whiteman et al. (1997) jet detection scheme, with Song et al. (2006) max height AGL modification 8
8 Strongest jets mostly coincide with southwesterly mean flow LLJ V crit V crit
9 NLLJ winds exhibit dependence on time and height of jet observation Most jets experience inertial oscillation veering throughout the night Larger jet wind speeds generally occur at higher altitudes 10
10 Rising motion seen in strong jets as anticipated by Midwest nocturnal precipitation theories August median Layer with positive upward velocity similar to that of wind speed acceleration 11
11 V1 lidar shows strong NLLJs cause increased wind veer with height below the jet max August median Result has implications for wind turbine power production and fatigue 12
12 We also performed a August case study using the WRF model 05 Aug 10 Aug 14 Aug Data Availability Leosphere/NRG: V1 profiling lidar 200S scanning lidar WRF case study Range: Output: 40 up to 220 m 3D wind vector 100 up to 5000 m Line-of-sight wind 20 Aug 28 Aug WRF V domains 1-way nesting 1.1 km horizontal resolution (finest) 05 Sep [m] 13
13 WRF case study indicates simulated NLLJ sensitivity to input data Input data (boundary and initial conditions) WRF captures overall recurring NLLJ pattern Planetary Boundary Layer (PBL) scheme LLJ V crit V crit Less variation among PBL schemes 14
14 Summary: new generation of profiling lidars a powerful tool for LLJ analysis Observed NLLJs in Iowa exhibit similarities to Great Plains LLJ SW wind direction dominant Mostly occur below 1000 m Stronger NLLJs tend to be higher WRF jets sensitive to input data May impact storm forecasts in Iowa 17
15 More from CWEX 2013 at BLT Wednesday, 11 June in Palm Court Poster - Coupling a Mesoscale NWP model with Large-Eddy- Simulation CFD for realistic wind-plant aerodynamics simulations (67) Thursday, 12 June in Queens Ballroom 1:30 PM - Lidar observations of the variation of wind turbine wakes with inflow conditions in an onshore wind farm (16A.1) 1:45 PM - Could crop roughness impact the wind resource at agriculturally productive wind farm sites? (16A.2) Thank you for your attention! Any questions? 18
Nesting large-eddy simulations within mesoscale simulations in WRF for wind energy applications
Performance Measures x.x, x.x, and x.x Nesting large-eddy simulations within mesoscale simulations in WRF for wind energy applications Julie K. Lundquist Jeff Mirocha, Branko Kosović 9 WRF User s Workshop,
Measurements and Simulations of Wakes in Onshore Wind Farms Julie K. Lundquist 1,2
Measurements and Simulations of Wakes in Onshore Wind Farms Julie K. Lundquist 1,2 1 University of Colorado Boulder, 2 National Renewable Energy Laboratory NORCOWE 2016, 14 16 Sept 2016, Bergen, Norway
The Boundary Layer and Related Phenomena
The Boundary Layer and Related Phenomena Jeremy A. Gibbs University of Oklahoma gibbz@ou.edu February 19, 2015 1 / 49 Overview Nocturnal Low-Level Jets Introduction Climatology of LLJs Meteorological Importance
DOPPLER LIDAR IN THE WIND FORECAST IMPROVEMENT PROJECTS
EPJ Web of Conferences 11911, 10001 (2016) DOPPLER LIDAR IN THE WIND FORECAST IMPROVEMENT PROJECTS Yelena Pichugina 1, 2*, Robert Banta 2, Alan Brewer 2, Aditya Choukulkar 1, 2, Melinda Marquis 2, Joe
Warm weather s a comin!
Warm weather s a comin! Performance Dependence on Closure Constants of the MYNN PBL Scheme for Wind Ramp Events in a Stable Boundary Layer David E. Jahn IGERT Wind Energy Science Engineering and Policy
* Corresponding author address: Yelena L. Pichugina, CSD / NOAA, 325 Broadway, Boulder, CO 80305;
5.6 ANALYSIS OF THE SOUTHERN COLORADO LOW-LEVEL JET BY HIGH RESOLUTION DOPPLER LIDAR DATA. COMPARISON TO THE GREAT PLAINS LLJ CLIMATOLOGIES. Yelena L. Pichugina* 1, R. M. Banta 2, N. D. Kelley 3 1 Cooperative
Wind Flow Modeling The Basis for Resource Assessment and Wind Power Forecasting
Wind Flow Modeling The Basis for Resource Assessment and Wind Power Forecasting Detlev Heinemann ForWind Center for Wind Energy Research Energy Meteorology Unit, Oldenburg University Contents Model Physics
Wind conditions based on coupling between a mesoscale and microscale model
Wind conditions based on coupling between a mesoscale and microscale model José Laginha Palma and Carlos Veiga Rodrigues CEsA Centre for Wind Energy and Atmospheric Flows Faculty of Engineering, University
Overview of Maryland s Upper Air Profilers
Overview of Maryland s Upper Air Profilers Dave Krask, Manager MDE Air Monitoring Program EPA/NACAA Monitoring Meeting January 10, 2013 Martin O Malley, Governor Anthony G. Brown, Lt. Governor Robert M.
Wind Assessment & Forecasting
Wind Assessment & Forecasting GCEP Energy Workshop Stanford University April 26, 2004 Mark Ahlstrom CEO, WindLogics Inc. mark@windlogics.com WindLogics Background Founders from supercomputing industry
Jasna Bogunović Jakobsen a a
Jasna Bogunović Jakobsen a a University of Stavanger Etienne Cheynet a, Jonas Snæbjörnsson a,b, Torben Mikkelsen c, Mikael Sjöholm c, Nikolas Angelou c, Per Hansen c, Jakob Mann c, Benny Svardal d, Valerie
Simulating the Vertical Structure of the Wind with the WRF Model
Simulating the Vertical Structure of the Wind with the WRF Model Andrea N Hahmann, Caroline Draxl, Alfredo Peña, Jake Badger, Xiaoli Lársen, and Joakim R. Nielsen Wind Energy Division Risø National Laboratory
LECTURE 28. The Planetary Boundary Layer
LECTURE 28 The Planetary Boundary Layer The planetary boundary layer (PBL) [also known as atmospheric boundary layer (ABL)] is the lower part of the atmosphere in which the flow is strongly influenced
Wind Ramp Events at Turbine Height Spatial Consistency and Causes at two Iowa Wind Farms
Wind Ramp Events at Turbine Height Spatial Consistency and Causes at two Iowa Wind Farms Renee A. Walton, William A. Gallus, Jr., and E.S. Takle Department of Geological and Atmospheric Sciences, Iowa
Wind and turbulence structure in the boundary layer around an isolated mountain: airborne measurements during the MATERHORN field study
Wind and turbulence structure in the boundary layer around an isolated mountain: airborne measurements during the MATERHORN field study Stephan F.J. De Wekker 1, G.D. Emmitt 2, S. Greco 2, K. Godwin 2,
Air Pollution Meteorology
Air Pollution Meteorology Government Pilots Utilities Public Farmers Severe Weather Storm / Hurricane Frost / Freeze Significant Weather Fog / Haze / Cloud Precipitation High Resolution Weather & Dispersion
Steven Greco* and George D. Emmitt Simpson Weather Associates, Charlottesville, VA. 2. Experiments
3.3 INVESTIGATION OF FLOWS WITHIN COMPLEX TERRAIN AND ALONG COASTLINES USING AN AIRBORNE DOPPLER WIND LIDAR: OBSERVATIONS AND MODEL COMPARISONS Steven Greco* and George D. Emmitt Simpson Weather Associates,
Wind Power Forecasting Using Non-Linear ARMAX Models and Neural Networks
Wind Power Forecasting Using Non-Linear ARMAX Models and Neural Networks Frede Aakmann Tøgersen & Kim Emil Andersen Wind & Site Competence Centre Technology R & D Vestas Wind Systems A/S Agenda Introducing
Remote Wind Measurements Offshore Using Scanning LiDAR Systems
OWA Report Remote Wind Measurements Offshore Using Scanning LiDAR Systems Offshore Wind Accelerator Wakes 2014 Remote Wind Measurements Offshore Using Scanning LiDAR Systems Lee Cameron lee.cameron@res-group.com
Boundary-layer Decoupling Affects on Tornadoes
Boundary-layer Decoupling Affects on Tornadoes Chris Karstens ABSTRACT The North American low-level jet is known to have substantial impacts on the climatology of central and eastern regions of the United
PROJECT PROPOSAL RESPONSE OF THE GREAT PLAINS NOCTURNAL LOW-LEVEL JET (NLLJ) TO VARIOUS WIND ENERGY SCENARIOS AS SIMULATED IN WRF.
PROJECT PROPOSAL RESPONSE OF THE GREAT PLAINS NOCTURNAL LOW-LEVEL JET (NLLJ) TO VARIOUS WIND ENERGY SCENARIOS AS SIMULATED IN WRF Daniel Gilbert Department of Geography and Earth Sciences University of
Stability and turbulence in the atmospheric boundary layer: A comparison of remote sensing and tower observations
GEOPHYSICAL RESEARCH LETTERS, VOL. 39,, doi:10.1029/2011gl050413, 2012 Stability and turbulence in the atmospheric boundary layer: A comparison of remote sensing and tower observations Katja Friedrich,
Validation of annual wind energy production estimates using the WRF model at 50 wind farms
Validation of annual wind energy production estimates using the WRF model at 50 wind farms Mark Žagar, Sven-Jesper Knudsen Vestas Wind Systems A/S, Aarhus, Denmark ICEM2015, June 23, 2015 Estimating future
Frequency and evolution of Low Level Jet events over the Southern North Sea analysed from WRF simulations and LiDAR measurements
Frequency and evolution of Low Level Jet events over the Southern North Sea analysed from WRF simulations and LiDAR measurements David Wagner1, Gerald Steinfeld1, Björn Witha1, Hauke Wurps1, Joachim Reuder2
The broadest definition of a low-level jet (LLJ) is simply any lower-tropospheric maximum in the vertical profile of the horizontal winds.
2.4.3. Low-level (especially nocturnal) Jet The broadest definition of a low-level jet (LLJ) is simply any lower-tropospheric maximum in the vertical profile of the horizontal winds. A LLJ can occur under
Improved Tropical Cyclone Boundary Layer Wind Retrievals. From Airborne Doppler Radar
Improved Tropical Cyclone Boundary Layer Wind Retrievals From Airborne Doppler Radar Shannon L. McElhinney and Michael M. Bell University of Hawaii at Manoa Recent studies have highlighted the importance
Diagnosing the Climatology and Interannual Variability of North American Summer Climate with the Regional Atmospheric Modeling System (RAMS)
Diagnosing the Climatology and Interannual Variability of North American Summer Climate with the Regional Atmospheric Modeling System (RAMS) Christopher L. Castro and Roger A. Pielke, Sr. Department of
DIFFICULTIES WITH CLASSIFYING AND ANALYZING THE LOW LEVEL JET IN A CONVECTION ALLOWING ENSEMBLE
DIFFICULTIES WITH CLASSIFYING AND ANALYZING THE LOW LEVEL JET IN A CONVECTION ALLOWING ENSEMBLE Emily N. Tinney 1 and James Correia Jr. 2,3 1 National Weather Center Research Experiences for Undergraduates
Effect of Wind Turbine Wakes on the Performance of a Real Case WRF-LES Simulation
Effect of Wind Turbine Wakes on the Performance of a Real Case WRF-LES Simulation Paula Doubrawa 1, A. Montornès 2, R. J. Barthelmie 1, S. C. Pryor 1, G. Giroux 3, P. Casso 2 1 Cornell University, Ithaca,
Lecture 20. Wind Lidar (2) Vector Wind Determination
Lecture 20. Wind Lidar (2) Vector Wind Determination Vector wind determination Ideal vector wind measurement VAD and DBS technique for vector wind Coherent versus incoherent Detection Doppler wind lidar
Appendix G-5: The Low Level Jet in Maryland: Profiler Observations and Preliminary Climatology
Appendix G-5: The Low Level Jet in Maryland: Profiler Observations and Preliminary Climatology 1 The Low Level Jet in Maryland: Profiler Observations and Preliminary Climatology Report Prepared for the
Logistics. Goof up P? R? Can you log in? Requests for: Teragrid yes? NCSA no? Anders Colberg Syrowski Curtis Rastogi Yang Chiu
Logistics Goof up P? R? Can you log in? Teragrid yes? NCSA no? Requests for: Anders Colberg Syrowski Curtis Rastogi Yang Chiu Introduction to Numerical Weather Prediction Thanks: Tom Warner, NCAR A bit
A Framework for the Reliability Analysis of Wind Turbines against Windstorms and Non-Standard Inflow Definitions
47th AIAA Aerospace Sciences Meeting Including The New Horizons Forum and Aerospace Exposition 5-8 January 29, Orlando, Florida AIAA 29-143 A Framework for the Reliability Analysis of Wind Turbines against
THE INFLUENCE OF THE GREAT LAKES ON NORTHWEST SNOWFALL IN THE SOUTHERN APPALACHIANS
P2.18 THE INFLUENCE OF THE GREAT LAKES ON NORTHWEST SNOWFALL IN THE SOUTHERN APPALACHIANS Robbie Munroe* and Doug K. Miller University of North Carolina at Asheville, Asheville, North Carolina B. Holloway
Preliminary Results from the ATHENA-OAWL Venture Tech Airborne Mission
Preliminary Results from the ATHENA-OAWL Venture Tech Airborne Mission Sunil Baidar (a, b), Sara Tucker (c), Mike Hardesty (a, b) (a) Cooperative Institute for Research in Environmental Sciences, University
Ian J. Camerlin, William A. Gallus, Jr., and Eugene S. Takle Iowa State University, Ames, Iowa
Meteorological Phenomena Impacting Spatial Consistency of Ramp Events in Wind Farms Ian J. Camerlin, William A. Gallus, Jr., and Eugene S. Takle Iowa State University, Ames, Iowa 1. Introduction Wind energy
WRF/Chem forecasting of boundary layer meteorology and O 3. Xiaoming 湖南气象局 Nov. 22 th 2013
WRF/Chem forecasting of boundary layer meteorology and O 3 Xiaoming Hu @ 湖南气象局 Nov. 22 th 2013 Importance of O 3, Aerosols Have adverse effects on human health and environments Reduce visibility Play an
3.20 BOUNDARY-LAYER STRUCTURE UPWIND AND DOWNWIND OF OKLAHOMA CITY DURING THE JOINT URBAN 2003 FIELD STUDY
23-27 August 24, Vancouver, B.C., Canada 3.2 BOUNDARY-LAYER STRUCTURE UPWIND AND DOWNWIND OF OKLAHOMA CITY DURING THE OINT URBAN 23 FIELD STUDY Stephan F.. De Wekker*, Larry K. Berg, K. erry Allwine,.
Climate Change or Climate Variability?
Climate Change or Climate Variability? Key Concepts: Greenhouse Gas Climate Climate change Climate variability Climate zones Precipitation Temperature Water cycle Weather WHAT YOU WILL LEARN 1. You will
3.23 IMPROVING VERY-SHORT-TERM STORM PREDICTIONS BY ASSIMILATING RADAR AND SATELLITE DATA INTO A MESOSCALE NWP MODEL
3.23 IMPROVING VERY-SHORT-TERM STORM PREDICTIONS BY ASSIMILATING RADAR AND SATELLITE DATA INTO A MESOSCALE NWP MODEL Q. Zhao 1*, J. Cook 1, Q. Xu 2, and P. Harasti 3 1 Naval Research Laboratory, Monterey,
Carbon Trust Offshore Wind Accelerator (OWA) Designing an Offshore Wind Measurement Campaign to Promote the Development of Wake Effects Models
Carbon Trust Offshore Wind Accelerator (OWA) Designing an Offshore Wind Measurement Campaign to Promote the Development of Wake Effects Models Brian Gribben and Breanne Gellatly 13 June 2012, London 1
Reprint 850. Within the Eye of Typhoon Nuri in Hong Kong in C.P. Wong & P.W. Chan
Reprint 850 Remote Sensing Observations of the Subsidence Zone Within the Eye of Typhoon Nuri in Hong Kong in 2008 C.P. Wong & P.W. Chan 8 th International Symposium on Tropospheric Profiling: Integration
Forecasting of Optical Turbulence in Support of Realtime Optical Imaging and Communication Systems
Forecasting of Optical Turbulence in Support of Realtime Optical Imaging and Communication Systems Randall J. Alliss and Billy Felton Northrop Grumman Corporation, 15010 Conference Center Drive, Chantilly,
Boundary Layer Science Challenges in the Context of Wind Energy
Boundary Layer Science Challenges in the Context of Wind Energy WILLIAM J. SHAW 1 Pacific Northwest National Laboratory National Academies of Sciences, Engineering, and Medicine Workshop on the Future
P4.11 SINGLE-DOPPLER RADAR WIND-FIELD RETRIEVAL EXPERIMENT ON A QUALIFIED VELOCITY-AZIMUTH PROCESSING TECHNIQUE
P4.11 SINGLE-DOPPLER RADAR WIND-FIELD RETRIEVAL EXPERIMENT ON A QUALIFIED VELOCITY-AZIMUTH PROCESSING TECHNIQUE Yongmei Zhou and Roland Stull University of British Columbia, Vancouver, BC, Canada Robert
8.2 EVALUATING THE BENEFITS OF TAMDAR DATA IN CONVECTIVE FORECASTING. Cyrena-Marie Druse 1 AirDat LLC. Evergreen, CO
8.2 EVALUATING THE BENEFITS OF TAMDAR DATA IN CONVECTIVE FORECASTING Cyrena-Marie Druse 1 AirDat LLC. Evergreen, CO 1. INTRODUCTION 1 The TAMDAR (Tropospheric Airborne Meteorological Data Reporting) Sensor
Examination #3 Wednesday, 28 November 2001
Name & Signature Dr. Droegemeier Student ID Meteorology 1004 Introduction to Meteorology Fall, 2001 Examination #3 Wednesday, 28 November 2001 BEFORE YOU BEGIN!! Please be sure to read each question CAREFULLY
Enhancing information transfer from observations to unobserved state variables for mesoscale radar data assimilation
Enhancing information transfer from observations to unobserved state variables for mesoscale radar data assimilation Weiguang Chang and Isztar Zawadzki Department of Atmospheric and Oceanic Sciences Faculty
Comparison of Radiosonde and Profiler Data with ACARS Data for Describing the Great Plains Low-Level Jet
Comparison of Radiosonde and Profiler Data with ACARS Data for Describing the Great Plains Low-Level Jet ROSS W. BRADSHAW Meteorology Program, Department of Geological and Atmospheric Sciences, Iowa State
Threats to the Power System
Threats to the Power System Energy Risk and Critical Infrastructure Workshop National Conference of State Legislatures William P. Mahoney III Deputy Director, Research Applications Laboratory National
Identification of Predictors for Nowcasting Heavy Rainfall In Taiwan --------------------- Part II: Storm Characteristics and Nowcasting Applications Challenges in Developing Nowcasting Applications for
National Center for Atmospheric Research Research Applications Laboratory Renewable Energy
National Center for Atmospheric Research Research Applications Laboratory Renewable Energy Dr. Sue Ellen Haupt, Director & Dr. Branko Kosovic, Program Manager Weather Systems & Assessment Program Research
Speedwell High Resolution WRF Forecasts. Application
Speedwell High Resolution WRF Forecasts Speedwell weather are providers of high quality weather data and forecasts for many markets. Historically we have provided forecasts which use a statistical bias
Offshore wind energy is just starting in the United
Meteorology for Coastal/Offshore Wind Energy in the United States Recommendations and Research Needs for the Next 10 Years by Cristina L. Archer, Brian A. Colle, Luca Delle Monache, Michael J. Dvorak,
Comparison of a Mesoscale Model with FINO Measurements in the German Bight and the Baltic Sea
Comparison of a Mesoscale Model with FINO Measurements in the German Bight and the Baltic Sea F. Durante; DEWI Italy A. Westerhellweg; DEWI GmbH, Wilhelmshaven B. Jimenez; DEWI GmbH Oldenburg F. Durante
Inflow and Outflow through the Sea-to-Sky Corridor in February 2010: Lessons Learned from SNOW-V10 *
Inflow and Outflow through the Sea-to-Sky Corridor in February 2010: Lessons Learned from SNOW-V10 * Ruping Mo National Laboratory for Coastal and Mountain Meteorology, Environment Canada, Vancouver, BC,
Validation n 1 of the Wind Data Generator (WDG) software performance. Comparison with measured mast data - Complex site in Southern France
Validation n 1 of the Wind Data Generator (WDG) software performance Comparison with measured mast data - Complex site in Southern France Mr. Tristan Fabre* La Compagnie du Vent, GDF-SUEZ, Montpellier,
Assessing WRF PBL Schemes for Wind Energy Applications
Assessing WRF PBL Schemes for Wind Energy Applications Branko Kosović, Yubao Liu, Youwei Liu, Will Cheng NCAR Workshop May 12, 21 NATIONAL CENTER FOR ATMOSPHERIC RESEARCH In the Past PBL Parameterizations
A Simple Analytical Model of the Nocturnal Low-Level Jet over the Great Plains of the United States
3674 J O U R N A L O F T H E A T M O S P H E R I C S C I E N C E S VOLUME 71 A Simple Analytical Model of the Nocturnal Low-Level Jet over the Great Plains of the United States YU DU Laboratory for Climate
VERIFICATION OF HIGH RESOLUTION WRF-RTFDDA SURFACE FORECASTS OVER MOUNTAINS AND PLAINS
VERIFICATION OF HIGH RESOLUTION WRF-RTFDDA SURFACE FORECASTS OVER MOUNTAINS AND PLAINS Gregory Roux, Yubao Liu, Luca Delle Monache, Rong-Shyang Sheu and Thomas T. Warner NCAR/Research Application Laboratory,
THE INFLUENCE OF SYNOPTIC CONDITIONS ON FLOW BETWEEN MOUNTAIN BASINS. Keeley R. Costigan*
8.4 THE IFLUECE OF SYOPTIC CODITIOS O FLOW BETWEE MOUTAI BASIS Keeley R. Costigan* Atmospheric, Climate, and Environmental Dynamics Group Los Alamos ational Laboratory Los Alamos, ew Mexico 874 1. ITRODUCTIO
A tail strike event of an aircraft due to terrain-induced wind shear at the Hong Kong International Airport
METEOROLOGICAL APPLICATIONS Meteorol. Appl. 21: 504 511 (2014) Published online 14 March 2012 in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/met.1303 A tail strike event of an aircraft due
Summary of ABL group discussions: IHOP Planning meeting National Center for Atmospheric Research Boulder, CO April, 2001
Summary of ABL group discussions: IHOP Planning meeting National Center for Atmospheric Research Boulder, CO 24-25 April, 2001 Scientific objectives: Summary list: It was agreed that the majority of the
Sensitivity of cold air pool evolution in hilly terrain regions
Sensitivity of cold air pool evolution in hilly terrain regions BRADLEY JEMMETT-SMITH 1, ANDREW ROSS 1, PETER SHERIDAN 2, JOHN HUGHES 1 21 st Symposium on Boundary Layers and Turbulence Leeds, UK 9 June
6.10 CHARACTERIZATION OF NOCTURNAL JETS OVER PHILADELPHIA DURING AIR-POLLUTION EPISODES
6.10 CHARACTERIZATION OF NOCTURNAL JETS OVER PHILADELPHIA DURING AIR-POLLUTION EPISODES Sachin J. Verghese*, Sriram N. Kizhakkemadam, Adam Willitsford, Jason P. Collier, Sameer Unni and C. Russell Philbrick
Linking mesocale modelling to site conditions
VindKraftNet Mesoscale Workshop 3 March 2010, Vestas Technology HQ, Århus, Denmark Linking mesocale modelling to site conditions Jake Badger, Andrea Hahmann, Xiaoli Guo Larsen, Claire Vincent, Caroline
US Drought Status. Droughts 1/17/2013. Percent land area affected by Drought across US ( ) Dev Niyogi Associate Professor Dept of Agronomy
Droughts US Drought Status Dev Niyogi Associate Professor Dept of Agronomy Deptof Earth Atmospheric Planetary Sciences Indiana State Climatologist Purdue University LANDSURFACE.ORG iclimate.org climate@purdue.edu
7.6 SMALL SCALE TURBULENCE MODULATION BY DUCTED GRAVITY WAVES ABOVE THE NOCTURNAL BOUNDARY LAYER
7.6 SMALL SCALE TURBULENCE MODULATION BY DUCTED GRAVITY WAVES ABOVE THE NOCTURNAL BOUNDARY LAYER Yannick. Meillier *, Rod G. Frehlich, R. Michael Jones, Ben B. Balsley University of Colorado, Boulder,
A COMPARISON OF VERY SHORT-TERM QPF S FOR SUMMER CONVECTION OVER COMPLEX TERRAIN AREAS, WITH THE NCAR/ATEC WRF AND MM5-BASED RTFDDA SYSTEMS
A COMPARISON OF VERY SHORT-TERM QPF S FOR SUMMER CONVECTION OVER COMPLEX TERRAIN AREAS, WITH THE NCAR/ATEC WRF AND MM5-BASED RTFDDA SYSTEMS Wei Yu, Yubao Liu, Tom Warner, Randy Bullock, Barbara Brown and
Atmospheric composition modeling over the Arabian Peninsula for Solar Energy applications
Atmospheric composition modeling over the Arabian Peninsula for Solar Energy applications S Naseema Beegum, Imen Gherboudj, Naira Chaouch, and Hosni Ghedira Research Center for Renewable Energy Mapping
Boundary-Layer Study at FINO1
Martin Flügge (CMR), Benny Svardal (CMR), Mostafa Bakhoday Paskyabi (UoB), Ilker Fer (UoB), Stian Stavland (CMR), Joachim Reuder (UoB), Stephan Kral (UoB) and Valerie-Marie Kumer (UoB) Boundary-Layer Study
Numerical Modelling for Optimization of Wind Farm Turbine Performance
Numerical Modelling for Optimization of Wind Farm Turbine Performance M. O. Mughal, M.Lynch, F.Yu, B. McGann, F. Jeanneret & J.Sutton Curtin University, Perth, Western Australia 19/05/2015 COOPERATIVE
Large-eddy simulations of the internal boundary layer and wake flow within large wind farms
Large-eddy simulations of the internal boundary layer and wake flow within large wind farms Björn Witha G. Steinfeld, D. Heinemann ForWind Center for Wind Energy Research Research Group Energy Meteorology
Characteristics of Nocturnal Low-Level Jets Observed in the North Florida Area
AUGUST 2009 K A R I P O T E T A L. 2605 Characteristics of Nocturnal Low-Level Jets Observed in the North Florida Area ANANDAKUMAR KARIPOT, MONIQUE Y. LECLERC, AND GENGSHENG ZHANG Laboratory for Environmental
Detecting wind turbine wakes with nacelle lidars
Detecting wind turbine wakes with nacelle lidars Dominique Philipp Held 1,2 Jakob Mann 1 Antoine Larvol 2 1 Department of Wind Energy, Technical University of Denmark (DTU) Frederiksborgvej 399 4000 Roskilde,
Computing urban wind fields
Combining mesoscale, nowcast, and CFD model output in near real-time for protecting urban areas and buildings from releases of hazardous airborne materials S. Swerdlin, T. Warner, J. Copeland, D. Hahn,
Lecture 11: Doppler wind lidar
Lecture 11: Doppler wind lidar Why do we study winds? v Winds are the most important variable studying dynamics and transport in the atmosphere. v Wind measurements are critical to improvement of numerical
P1.17 Super-high-resolution Numerical Simulation of Atmospheric Turbulence in an Area of Complex Terrain
P1.17 Super-high-resolution Numerical Simulation of Atmospheric Turbulence in an Area of Complex Terrain P.W. Chan * Hong Kong Observatory, Hong Kong, China 1. INTRODUCTION Turbulent airflow occurs at
Analysis of three-dimensional wind fields from two operational doppler radars
Proceedings of ERAD (4): 35 4 c Copernicus GmbH 4 ERAD 4 Analysis of three-dimensional wind fields from two operational doppler radars Y. K. Goh and A. R. Holt Department of Mathematical Sciences, University
Improving Surface Flux Parameterizations in the NRL Coupled Ocean/Atmosphere Mesoscale Prediction System
Improving Surface Flux Parameterizations in the NRL Coupled Ocean/Atmosphere Mesoscale Prediction System LONG-TERM GOAL Shouping Wang Naval Research Laboratory Monterey, CA 93943 Phone: (831) 656-4719
Winds on Horizontal Scans from Doppler Lidar during T-REX
Winds on Horizontal Scans from Doppler Lidar during T-REX Aditya Choukulkar 1*, Ronald Calhoun 1, Brian Billings 2, and James Doyle 3 1 Environmental Remote Sensing Group, Arizona State University, Tempe,
Rapid Prototyping of Cutting-Edge Meteorological Technology: The ATEC 4DWX System
Rapid Prototyping of Cutting-Edge Meteorological Technology: The ATEC 4DWX System James F. Bowers U.S. Army Dugway Proving Ground Dugway, Utah 84022-5000 Scott P. Swerdlin and Thomas T. Warner National
Review of Wind Energy Forecasting Methods for Modeling Ramping Events
LLNL-TR-476934 Review of Wind Energy Forecasting Methods for Modeling Ramping Events S. Wharton, J. K. Lundquist, N. Marjanovic, J. L. Williams, M. Rhodes, T. K. Chow, R. Maxwell March 29, 2011 Disclaimer
The Deep Propagating Gravity Wave Experiment (DEEPWAVE) Science Overview and Approach
The Deep Propagating Gravity Wave Experiment (DEEPWAVE) Science Overview and Approach U.S. PIs: Dave Fritts 1, Ron Smith 2, Mike Taylor 3, Jim Doyle 4, Steve Eckermann 5, and Steve Smith 6 1 GATS, Boulder,
SURF Progresses Contents
SURF Progresses Contents 1 5th Workshop: June 21-23, 2017 2 SURF-2016 Summer Experiment 3 Preliminary results 4 Future plan (1) 5 th Workshop: June 21-23, 2017 SURF WS-5: Structure I. New Science Reports
Simulating atmosphere flow for wind energy applications with WRF
Simulating atmosphere flow for wind energy applications with WRF J. K. Lundquist 1, J. D. Mirocha 1, F. K. Chow 2, K. A. Lundquist 1,2, B. Kosovic 1, S. Chin 1 jkl@llnl.gov 1 2 University of California
Air Quality Screening Modeling
Air Quality Screening Modeling 2007 Meteorology Simulation with WRF OTC Modeling Committee Meeting September 16, 2010 Baltimore, MD Presentation is based upon the following technical reports available
Physics of the Convective Boundary Layer based on Radar/Lidar Profiler measurements and simulation
Physics of the Convective Boundary Layer based on Radar/Lidar Profiler measurements and simulation D. Vanhoenacker Janvier (1), A. Graziani (1), D. Kovalev (1), C. Pereira (1), M. Duponcheel (2), R. Wilson
P1.6 Simulation of the impact of new aircraft and satellite-based ocean surface wind measurements on H*Wind analyses
P1.6 Simulation of the impact of new aircraft and satellite-based ocean surface wind measurements on H*Wind analyses Timothy L. Miller 1, R. Atlas 2, P. G. Black 3, J. L. Case 4, S. S. Chen 5, R. E. Hood
The Forcing of Wind Turbine Rotors by True Weather Events as a Function of Atmospheric Stability State*
NAWEA 2015 Symposium 11 June 2015 Virginia Tech, Blacksburg, VA The Forcing of Wind Turbine Rotors by True Weather Events as a Function of Atmospheric Stability State* Balaji Jayaraman 1 and James G. Brasseur
Thunderstorm-Scale EnKF Analyses Verified with Dual-Polarization, Dual-Doppler Radar Data
Thunderstorm-Scale EnKF Analyses Verified with Dual-Polarization, Dual-Doppler Radar Data David Dowell and Wiebke Deierling National Center for Atmospheric Research, Boulder, CO Ensemble Data Assimilation
MET Lecture 29 Tornadoes IV
MET 4300 Lecture 29 Tornadoes IV Outline Definition, life cycle, & climatology of tornadoes Tornado formation within supercells Tornado formation within nonsupercell thunderstorms Fujita scale Tornado
Importance of Numerical Weather Prediction in Variable Renewable Energy Forecast
Importance of Numerical Weather Prediction in Variable Renewable Energy Forecast Dr. Abhijit Basu (Integrated Research & Action for Development) Arideep Halder (Thinkthrough Consulting Pvt. Ltd.) September
Windcube TM Pulsed lidar wind profiler Overview of more than 2 years of field experience J.P.Cariou, R. Parmentier, M. Boquet, L.
Windcube TM Pulsed lidar wind profiler Overview of more than 2 years of field experience J.P.Cariou, R. Parmentier, M. Boquet, L.Sauvage 15 th Coherent Laser Radar Conference Toulouse, France 25/06/2009
Low-Level Jets over the Mid-Atlantic States: Warm-Season Climatology and a Case Study
194 J O U R N A L O F A P P L I E D M E T E O R O L O G Y A N D C L I M A T O L O G Y VOLUME 45 Low-Level Jets over the Mid-Atlantic States: Warm-Season Climatology and a Case Study DA-LIN ZHANG, SHUNLI
Multi Time Scale Wind Energy Forecasting Model based on Meteorological Simulation and Onsite Measurement
Multi Time Scale Wind Energy Forecasting Model based on Meteorological Simulation and Onsite Measurement Kota ENOKI, Takeshi ISHIHARA, Atsushi YAMAGUCHI, Yukinari FUKUMOTO, The University of Tokyo Tokyo
Forecasting wind ramps: can long-range lidar increase accuracy?
Journal of Physics: Conference Series PAPER OPEN ACCESS Forecasting wind ramps: can long-range lidar increase accuracy? To cite this article: I Würth et al 2018 J. Phys.: Conf. Ser. 1102 012013 View the
Investigation of the Air-Wave-Sea Interaction Modes Using an Airborne Doppler Wind Lidar: Analyses of the HRDL data taken during DYNAMO
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Investigation of the Air-Wave-Sea Interaction Modes Using an Airborne Doppler Wind Lidar: Analyses of the HRDL data taken
A Comparative Study of virtual and operational met mast data
Journal of Physics: Conference Series OPEN ACCESS A Comparative Study of virtual and operational met mast data To cite this article: Dr Ö Emre Orhan and Gökhan Ahmet 2014 J. Phys.: Conf. Ser. 524 012120
Reducing Uncertainty of Near-shore wind resource Estimates (RUNE) using wind lidars and mesoscale models
Downloaded from orbit.dtu.dk on: Dec 16, 2018 Reducing Uncertainty of Near-shore wind resource Estimates (RUNE) using wind lidars and mesoscale models Floors, Rogier Ralph; Vasiljevic, Nikola; Lea, Guillaume;