The IMPOWR (Improving the Mapping and Prediction of Offshore Wind Resources) project: Evaluation of WRF PBL Schemes Brian A. Colle and Matthew J. Sienkiewicz.

Slides:



Advertisements
Similar presentations
Intense Spring Sea Breezes Along the New York - New Jersey Coast Stanley David Gedzelman and Kwan-Yin Kong EAS Department and NOAA CREST Center City College.
Advertisements

The Persistence and Dissipation of Lake Michigan-Crossing Mesoscale Convective Systems Nicholas D. Metz* and Lance F. Bosart # * Department of Geoscience,
Evaluation of WRF PBL Schemes in the Marine Atmospheric Boundary Layer over the Coastal Waters of Southern New England Matthew J. Sienkiewicz and Brian.
PBL simulated from different PBL Schemes in WRF during DICE
A Spatial Climatology of Convection in the Northeast U.S. John Murray and Brian A. Colle National Weather Service, WFO New York NY Stony Brook University,
Jared H. Bowden Saravanan Arunachalam
Modifications to the MYNN PBL and Surface Layer Scheme for WRF-ARW Joseph Olson1,2 John M. Brown1 1NOAA-ESRL/GSD/AMB 2Cooperative Institute for Research.
Hongli Jiang 1,3, Michelle Harrold 2,3 and Jamie Wolff 2,3 1: NOAA/ESRL/CIRA, Colorado State University 2: NCAR/Research Applications Laboratory 3: Developmental.
Fire Summary The simulations presented in this study represent the meteorological conditions associated with the Warren Grove Wildfire in south-central.
The impact of mesoscale PBL parameterizations on the evolution of mixed-layer processes important for fire weather Joseph J. Charney USDA Forest Service,
Indirect Determination of Surface Heat Fluxes in the Northern Adriatic Sea via the Heat Budget R. P. Signell, A. Russo, J. W. Book, S. Carniel, J. Chiggiato,
1 Variability of sea surface temperature diurnal warming Carol Anne Clayson Florida State University Geophysical Fluid Dynamics Institute SSTST Meeting.
Lecture 7-8: Energy balance and temperature (Ch 3) the diurnal cycle in net radiation, temperature and stratification the friction layer local microclimates.
Application of Numerical Model Verification and Ensemble Techniques to Improve Operational Weather Forecasting. Northeast Regional Operational Workshop.
Validation of Storm Surge Models for the New York Bight and Long Island Regions and the Impact of Ensembles Tom Di Liberto Dr. Brian A. Colle Stony Brook.
Towards an Ensemble Forecast Air Quality System for New York State Michael Erickson 1, Brian A. Colle 1, Christian Hogrefe 2,3, Prakash Doraiswamy 3, Kenneth.
Update on the Northwest Regional Modeling System Cliff Mass, Dave Ovens, Jeff Baars, Mark Albright, Phil Regulski, Dave Carey University of Washington.
United States Coast Guard 1985 Evaluation of a Multi-Model Storm Surge Ensemble for the New York Metropolitan Region Brian A. Colle Tom Di Liberto Stony.
IS WRF REALLY IMPROVING? A COMPREHENSIVE VERIFICATION OVER THE PACIFIC NORTHWEST Cliff Mass and David Ovens University of Washington.
Ensemble Post-Processing and it’s Potential Benefits for the Operational Forecaster Michael Erickson and Brian A. Colle School of Marine and Atmospheric.
A Spatial Climatology of Convection in the Northeast U.S. John Murray and Brian A. Colle Stony Brook University Northeast Regional Operational Workshop.
Evaporative heat flux (Q e ) 51% of the heat input into the ocean is used for evaporation. Evaporation starts when the air over the ocean is unsaturated.
Coastal Meteorology and Atmospheric Prediction (COMAP) Research at Stony Brook University Michael Erickson, Brian A. Colle, Sara Ganetis, Nathan Korfe,
“1995 Sunrise Fire – Long Island” Using an Ensemble Kalman Filter to Explore Model Performance on Northeast U.S. Fire Weather Days Michael Erickson and.
Tanya L. Otte and Robert C. Gilliam NOAA Air Resources Laboratory, Research Triangle Park, NC (In partnership with U.S. EPA National Exposure Research.
Climatology and Predictability of Cool-Season High Wind Events in the New York City Metropolitan and Surrounding Area Michael Layer School of Marine and.
Validation of PBL Schemes over Southern New England Coastal Waters Using the IMPOWR Field Campaign Matthew J. Sienkiewicz and Brian A. Colle NROW 2013.
28 Jan 1815 UTC2135 UTC Clear patches due to canyon drainage/ Exchange from Utah Valley? PCAPS IOP January 2011.
Effects of Upwind Roughness Changes and Impacts on Hub-Height Winds Peter A. Taylor 1,2, Wensong Weng 1 and James R. Salmon 2 1 Centre for Research in.
Sensitivity of WRF model to simulate gravity waves
The diagnosis of mixed-layer depth above an eastern U.S. wildfire using a mesoscale numerical weather prediction model Joseph J. Charney USDA Forest Service,
Jian-Wen Bao Christopher W. Fairall Sara A. Michelson Laura Bianco NOAA/ESRL/Physical Sciences Division in collaboration with N. Surgi, Y. Kwon and V.
The Rapid Evolution of Convection Approaching the New York City Metropolitan Region Brian A. Colle and Michael Charles Institute for Terrestrial and Planetary.
Simulation of Summertime Wind Speed at Turbine Hub Height: Model Sensitivities to Speed and Shear Characteristics Shannon L. Rabideau, Daniel A. Rajewski,
João Paulo Martins (IPMA/IDL) & Rita Cardoso Pedro M. M. Soares Isabel Trigo Margarida Belo Pereira Nuno Moreira Ricardo Tomé The diurnal cycle of coastal.
WRF Problems: Some Solutions, Some Mysteries Cliff Mass and David Ovens University of Washington.
Sensitivity of Air Quality Model Predictions to Various Parameterizations of Vertical Eddy Diffusivity Zhiwei Han and Meigen Zhang Institute of Atmospheric.
Evaluating forecasts of the evolution of the cloudy boundary layer using radar and lidar observations Andrew Barrett, Robin Hogan and Ewan O’Connor Submitted.
The “Ambrose” (New York Bight) Jet: Climatology and Simulations of Coastally Enhanced Winds Brian A. Colle School of Marine and Atmospheric Sciences, Stony.
Insights from CMC BAMS, June Short Range The SPC Short-Range Ensemble Forecast (SREF) is constructed by post-processing all 21 members of the NCEP.
Barry Baker 1, Rick Saylor 1, Pius Lee 2 1 National Oceanic and Atmospheric Administration Air Resources Laboratory Atmospheric Turbulence and Diffusion.
A comparison of WRF model simulations with SAR wind data in case studies of orographic lee waves over the Eastern Mediterranean Sea M. M. Miglietta1,2,
Hurricane Karl’s landfall as seen by high-resolution radar data and WRF Jennifer DeHart and Robert Houze Cyclone Workshop NASA grants: NNX13AG71G.
 one-way nested Western Atlantic-Gulf of Mexico-Caribbean Sea regional domain (with data assimilation of SSH and SST prior to hurricane simulations) 
An Investigation of the Mesoscale Predictability over the Northeast U.S.        Brian A. Colle, Matthew Jones, and Joseph Olson Institute for Terrestrial.
Evaluation of the Real-Time Ocean Forecast System in Florida Atlantic Coastal Waters June 3 to 8, 2007 Matthew D. Grossi Department of Marine & Environmental.
Sea Breeze, Coastal Upwelling Modeling to Support Offshore Wind Energy Planning and Operations Greg Seroka 1, Erick Fredj 2, Travis Miles 1, Rich Dunk.
Modeling and Evaluation of Antarctic Boundary Layer
Observed Structure of the Atmospheric Boundary Layer
Effect of the Gulf Stream on Winter Extratropical Cyclones Jill Nelson* and Ruoying He Marine, Earth, and Atmospheric Sciences, North Carolina State University,
Meteorology for modeling AP Marti Blad PhD PE. Meteorology Study of Earth’s atmosphere Weather science Climatology and study of weather patterns Study.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Component testing of the COSMO model’s turbulent diffusion.
11 Implementing a New Shallow Convection Scheme into WRF Aijun Deng and Brian Gaudet Penn State University Jimy Dudhia National Center for Atmospheric.
The Arctic boundary layer: Characteristics and properties Steven Cavallo June 1, 2006 Boundary layer meteorology.
Diurnal Variations in Southern Great Plain during IHOP -- data and NCAR/CAM Junhong (June) Wang Dave Parsons, Julie Caron and Jim Hack NCAR ATD and CGD.
An Investigation of Model-Simulated Band Placement and Evolution in the 25 December 2002 Northeast U.S. Banded Snowstorm David Novak NOAA/ NWS Eastern.
A Case Study of Decoupling in Stratocumulus Xue Zheng MPO, RSMAS 03/26/2008.
Jonathan Pleim NOAA/ARL* RTP, NC A NEW COMBINED LOCAL AND NON-LOCAL PBL MODEL FOR METEOROLOGY AND AIR QUALITY MODELING * In Partnership with the U.S. Environmental.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Analyzing the TKE budget of the COSMO model for the LITFASS-2003.
National Weather Service Houston/Galveston Lance Wood Science and Operations Officer Assessing the Impact of MODIS SST Utilizing a local WRF.
Testing of the Zeng and Beljaars scheme in the TWP Michael Brunke and Xubin Zeng Department of Atmospheric Sciences The University of Arizona Tucson, Arizona.
OKX The OKX sounding at 1200 UTC has 153 J kg -1 CIN extending upwards to 800 hPa and < 500 J kg -1 CAPE. There was 41.8 mm of precipitable water. By 1400.
Challenges in Convective Storm Prediction for the Coastal-Urban New York City-Long Island Brian A. Colle 1, Kelly Lombardo 2, John Murray 3, and Harrison.
Matt Vaughan Class Project ATM 621
LA-UR The Effect of Boundary-Layer Scheme on WRF model simulations of the Joint Urban 2003 Field Campaign Matthew A. Nelson1, M. J. Brown1, S.
The ability for the ocean to absorb and store energy from the sun is due to… The transparency of the water that allows the sun’s ray to penetrate deep.
Analysis of WRF Model Ensemble Forecast Skill for 80 m over Iowa
Mark A. Bourassa and Qi Shi
Cliff Mass University of Washington
NRL POST Stratocumulus Cloud Modeling Efforts
Presentation transcript:

The IMPOWR (Improving the Mapping and Prediction of Offshore Wind Resources) project: Evaluation of WRF PBL Schemes Brian A. Colle and Matthew J. Sienkiewicz School of Marine and Atmospheric Sciences, Stony Brook University Cristina Archer and Dana Veron College of Earth, Ocean, and Environment, University of Delaware NAWEA, 2015

Motivation Extraordinary offshore wind resource with seasonal variability; Current offshore wind maps were constructed using limited/no observations at turbine hub height; No information on the uncertainty of offshore wind maps is available; GOAL: Provide a comprehensive Planetary Boundary Layer (PBL) verification over southern New England coastal waters, as well as some possible improvements to the PBL parameterizations using ensemble modeling. Winter Spring Summer Fall Modeled seasonal daytime offshore wind resource at 90 m as capacity factor of 5MW REpower (Dvorak et al. 2012)

Research Questions What are the systematic errors (biases) of the WRF Planetary Boundary Layer (PBL) schemes in wind speed and temperature in the region, and how do these biases vary diurnally and seasonally? What is the climatology of the observed low-level stability (around 20-m) diurnally and seasonally? How well does WRF simulate low-level jet and stability structures observed using field data over coastal southern New England?

Historical observational datasets: Conventional data 11 NDBC Moored Buoys 3 NDBC C-MAN Stations 14 NWS ASOS Stations Point out CW and 44020 (how close they are, but 44020 was installed in 2009)

Historical observational datasets: Cape Wind (CW) tower Multi-level wind and temperature; Nine years of data (2003 – 2011, but only 2003 - 2007 complete). 60 meters 55 meters Temperature, Pressure 41 meters Wind speed, direction 20 meters 10 meters

Historical observational datasets: Cape Wind (CW) tower issues Original plan to instrument upper arms of tower with new instruments was not safe; IMPOWR instruments only added on platform (10 m); Lots of data quality issues.

WRF ensemble modeling: Six PBL schemes Turbulence Closure Order Surface Layer Scheme Summary YSU 1.0 MM5 Non-local-K scheme with explicit entrainment layer and parabolic K profile in unstable mixed layer ACM2 Asymmetric Convective Model with non-local upward mixing and local downward mixing BouLac 1.5 Designed for use with BEP (Building Environment Parameterization) urban model MYJ One-dimensional prognostic turbulent kinetic energy scheme with local vertical mixing QNSE A TKE-prediction option that uses a new theory for stably stratified regions MYNN2.5 Predicts sub-grid TKE terms

WRF ensemble modeling: Setup WRF v. 3.4.1; 30-hour simulations; 38 vertical levels; NARR analyses as IC/BCs; 0.5 RTG SST; Verification used 4-km domain; First 6 forecast hours discarded as model spin-up time.

WRF simulation approach for historical study 2003 – 2011 90 model simulation dates randomly and uniformly distributed between 2003 – 2011: Equally divided between warm season (April – September) and cool season (October – March); Equally divided between 0000 UTC and 1200 UTC model initialization times; Verification divided into seasons (warm and cool) as well as diurnal periods: Day (1200 – 2300 UTC); Night (0000 – 1100 UTC).

Cape Wind tower mean error: Wind speed – Warm season MYNN2 and QNSE schemes show smallest ME; Generally negative ME that decrease in magnitude with height; BouLac scheme shows largest ME at 60 m; Note: MAE values for all schemes represent 21 – 22% of wind speed magnitude; Larger errors at night. Error bars represent bootstrap 95% confidence intervals.

Cape Wind tower mean error: Wind speed – Cool season Generally negative wind speed ME; Increase in magnitude with height (opposite of warm season); Largest for BouLac scheme; Larger errors during day (opposite of warm season).

Buoy 44020 5-m mean temperature error Surface cool bias during the warm season; Surface warm bias during the cool season; Possible explanations: surface heat fluxes are too large in the WRF (not likely, explained later); SST issue (testing undergoing); What about atmospheric stability?

Research Questions What are the systematic errors (biases) of the WRF Planetary Boundary Layer (PBL) schemes in wind speed and temperature in the region, and how do these biases vary diurnally and seasonally? What is the climatology of the observed low-level stability (around 20-m) diurnally and seasonally? How well does WRF simulate low-level jet and stability structures observed using field data over coastal southern New England?

Stability analysis based on historical CW sonic anemometers: unstable conditions dominate Need to compare with WRF calculated L during the selected episodes

IMPOWR sonics consistent with CW sonics: unstable conditions dominate IMPOWR sonics are up only 6 hours/day in winter

Non-log profiles occur ~40% of the time at CW V60>V41>V20 All other 8 cases

Non-log profiles are associated with unstable conditions

Research Questions What are the systematic errors (biases) of the WRF Planetary Boundary Layer (PBL) schemes in wind speed and temperature in the region, and how do these biases vary diurnally and seasonally? What is the climatology of the observed low-level stability (around 20-m) diurnally and seasonally? How well does WRF simulate low-level jet and stability structures observed using field data over coastal southern New England?

IMPOWR Experiment: Fall 2012 to present

IMPOWR Flights (2012-2014) AIMMS-20 AIMMS-20 Instrument Up to 40 Hz measurements of 3D winds, temperature, pressure and RH

Observations at 1800 UTC 21 June 2013 General SW surface flow around high pressure offshore of New England Inland surface temps 26-27C, while 20-21C over water Coastally enhanced 40-50 m winds (20-25 kts) towards Nantucket Island Surface Analysis Flight-level winds (kts) 40-50 m ASL

South-North Cross Section Around 1800 UTC 21 June 2013 Flight-level obs Observed low-level jet to 25 kts below 400 m 1.33-km WRF (YSU PBL) too weak, even a few hours later after more daytime heating. WRF marine layer is too shallow near coast. 1.33-km WRF (YSU PBL) at 1800 UTC (18-h forecast using RAP IC/BCs) 1.33-km WRF (YSU PBL) at 2100 UTC

Flight: 1600 – 1900 UTC 21 June 2013 Spiral Around Cape Wind Tower 1925 UTC ACM2 shows largest MABL depth 14 m s-1 All schemes exhibit shallower / cooler (1 – 2 °C) MABL than observations Lower wind maximum in models (100 m vs. 190 m) Schemes underestimate 5-m winds at 44020 (1 – 2 m s-1)

New York Bight Jet 1400-1700 UTC and 2000-2200 UTC 23 July 2014 Observed mid-late AM winds 20-25 kts at 100-225 m Jet increases to 35-40 kts by 4-6 PM EDT 1.33 WRF (YSU PBL) are 5-10 kts too weak for the jet There were two motivations to keep from my end...: it provided more evidence that the WRF is underpredicting these jets (rather than just the June case), and it highlights unique obs of the NY Bight jet and its surprisingly strong magnitude (tropical storm force winds at 150 m). The lower left WRF plot is at 180 m at 2100 UTC... It is the same plot as Fig 6 in the BAMS paper, which is there to show the WRF winds are around 30kts, but the obs are around 40kts.

Conclusions WRF PBL parameterizations consistently underpredict wind speeds at Cape Wind tower at all levels; WRF near surface temperature at Nantucket Sound buoy is too warm during the cool season and too cool during the warm season. This suggests SST bias in Sound (currently testing) or too large surface fluxes (inconsistent with next findings); Atmospheric stability at Cape Wind is predominantly unstable based on Monin-Obukhov length from sonic anemometer at 20 m (thus strong mixing and little shear); IMPOWR observations suggest that: WRF diurnally-forced low-level jets are too weak during the warm season. WRF too cool near surface; PBL is too shallow near coast (e.g., not enough mixing); Location too complex to verify PBL parameterizations. One could summarize with some concerns how representative this CW location is for PBL understanding/verification over the shelf region given the large diurnal SSTs, lack of waves in the Bay, and potential island wake effects (CW is very complex!!). We need more obs over the shelf itself.. perhaps that Chesapeake tower site will help, but that region has a different climo than southern New England coastal areas…

CW temperature sensors are suspicious: 1) Inconsistent T errors in cool season

CW temperature sensors are suspicious: 2) Unrealistic stable conditions dominate in cool season (and all year)

CW temperature sensors are suspicious: 3) Wrong link between stability and shear ←?→