UU Unitah Basin WRF Model Configuration (same as DEQ) See Alcott and Steenburgh 2013 for further details on most aspects of this numerical configuration:

Slides:

Advertisements

Similar presentations

Meteorologisches Institut der Universität München

Advertisements

Advancing Numerical Weather Prediction of Great Salt Lake-Effect Precipitation John D McMillen.

An intraseasonal moisture nudging experiment in a tropical channel version of the WRF model: The model biases and the moisture nudging scale dependencies.

Comparison of the CAM and RRTMG Radiation Schemes in WRF and coupled WRF-CMAQ models Aijun Xiu, Zac Adelman, Frank Binkowski, Adel Hanna, Limei Ran Center.

WRF Physics Options Jimy Dudhia. diff_opt=1 2 nd order diffusion on model levels Constant coefficients (khdif and kvdif) km_opt ignored.

Jared H. Bowden Saravanan Arunachalam

Assessing the impact of soil moisture on the diurnal evolution of the PBL and on orographic cumulus development over the Santa Catalina Mountains during.

Fire Summary The simulations presented in this study represent the meteorological conditions associated with the Warren Grove Wildfire in south-central.

Recent performance statistics for AMPS real-time forecasts Kevin W. Manning – National Center for Atmospheric Research NCAR Earth System Laboratory Mesoscale.

A WRF Simulation of the Genesis of Tropical Storm Eugene (2005) Associated With the ITCZ Breakdowns The UMD/NASA-GSFC Users' and Developers' Workshop,

John J. Cassano - University of Colorado Wieslaw Maslowski -Naval Postgraduate School William Gutowski - Iowa State University Dennis Lettenmaier – University.

LAKE EFFECT SNOW SIMULATION John D McMillen. LAKE BONNEVILLE EFFECT SNOW.

 Z NO x Snow Cover VOCs O3O3 Fig. 1.1 Simplified schematic of typical situation leading to high ozone concentrations. Red line represent potential temperature.

Summary of Current and Ongoing Cold Pool Modeling Research University of Utah/DAQ CAP John Horel, Erik Crosman, Erik Neemann University of Utah Department.

OAQPS Air Quality Modeling Group Fine-scale Meteorological Simulation of Cold Pools in Salt Lake City Chris Misenis, Kirk Baker, Pat Dolwick October 29,

Improving Cloud Simulation in Weather Research and Forecasting (WRF) Through Assimilation of GOES Satellite Observations Andrew White Advisor: Dr. Arastoo.

Uintah Basin WRF Testing Erik Neemann 20 Sep 2013.

Assessment of the vertical exchange of heat, moisture, and momentum above a wildland fire using observations and mesoscale simulations Joseph J. Charney.

The National Environmental Agency of Georgia L. Megrelidze, N. Kutaladze, Kh. Kokosadze NWP Local Area Models’ Failure in Simulation of Eastern Invasion.

Mesoscale Modeling Review the tutorial at: –In class.

Jerold Herwehe 1, Kiran Alapaty 1, Chris Nolte 1, Russ Bullock 1, Tanya Otte 1, Megan Mallard 1, Jimy Dudhia 2, and Jack Kain 3 1 Atmospheric Modeling.

Toward Improved Numerical Forecasting of Wintertime Stable Boundary Layers Erik Crosman 1, John Horel 1, Chris Foster 1, Erik Neemann 1, Brian Blaylock.

November 1, 2013 Bart Brashers, ENVIRON Jared Heath Bowden, UNC 3SAQS WRF Modeling Recommendations.

Atmospheric Modeling in an Arctic System Model John J. Cassano Cooperative Institute for Research in Environmental Sciences and Department of Atmospheric.

Russ Bullock 11 th Annual CMAS Conference October 17, 2012 Development of Methodology to Downscale Global Climate Fields to 12km Resolution.

28 Jan 1815 UTC2135 UTC Clear patches due to canyon drainage/ Exchange from Utah Valley? PCAPS IOP January 2011.

Introduction Background Elevated PM 2.5 in Salt Lake Valley Large population, high vehicle emissions Elevated O 3 in Uintah Basin Significant industrial.

winter RADIATION FOGS at CIBA (Spain): Observations compared to WRF simulations using different PBL parameterizations Carlos Román-Cascón

Fig. 1.1: Simplified schematic of typical situation leading to high wintertime ozone concentrations. Red line represent potential temperature profile with.

Jonathan Pleim 1, Robert Gilliam 1, and Aijun Xiu 2 1 Atmospheric Sciences Modeling Division, NOAA, Research Triangle Park, NC (In partnership with the.

Numerical Simulations of Persistent Cold-Air Pools in the Uintah Basin, Utah Erik M. Neemann, University of Utah Erik T. Crosman, University of Utah John.

Non-hydrostatic Numerical Model Study on Tropical Mesoscale System During SCOUT DARWIN Campaign Wuhu Feng 1 and M.P. Chipperfield 1 IAS, School of Earth.

Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 Regional Modeling using MODIS SST composites Prepared.

Seasonal Modeling (NOAA) Jian-Wen Bao Sara Michelson Jim Wilczak Curtis Fleming Emily Piencziak.

Erik Crosman 1, John Horel 1, Chris Foster 1, Erik Neemann 1 1 University of Utah Department of Atmospheric Sciences Toward Improved NWP Simulations of.

Problems modeling CAPs Clouds Type (ice or liquid) Extent Duration Winds Too strong in surface layer Over- dispersive, end CAP too soon Proposed possible.

Figure sec mean topography (m, shaded following scale at upper left) of the Intermountain West and adjoining regions,

Project: Improving Air Quality Modeling for the Wasatch Front/Cache Valley Winter Air Pollution Episodes Erik Crosman 1, John Horel 1, Lance Avey 2, Chris.

WRF Four-Dimensional Data Assimilation (FDDA) Jimy Dudhia.

WRF Problems: Some Solutions, Some Mysteries Cliff Mass and David Ovens University of Washington.

Are Numerical Weather Prediction Models Getting Better? Cliff Mass, David Ovens, and Jeff Baars University of Washington.

Research on the HWRF Model: Intensification and Uncertainties in Model Physics Research on the HWRF Model: Intensification and Uncertainties in Model Physics.

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,

Figure 1. Schematic of factors contributing to high ozone concentrations. Potential temperature profile (red line) with stable layer trapping ozone precursors.

Progress Update of Numerical Simulation for OSSE Project Yongzuo Li 11/18/2008.

An Examination Of Interesting Properties Regarding A Physics Ensemble 2012 WRF Users’ Workshop Nick P. Bassill June 28 th, 2012.

Modeling and Evaluation of Antarctic Boundary Layer

Evaluation of regional climate simulations with WRF model in conditions of central Europe Jan Karlický, Tomáš Halenka, Michal Belda, (Charles University.

Page 1© Crown copyright Modelling the stable boundary layer and the role of land surface heterogeneity Anne McCabe, Bob Beare, Andy Brown EMS 2005.

Module 6 MM5: Overview William J. Gutowski, Jr. Iowa State University.

Test Cases for the WRF Height Coordinate Model

Reasoning for Microphysics Modifications -Several modification were made to Thompson microphysics schemes: -Changes to homogeneous freezing temperature.

Uintah Basin WRF Testing Erik Neemann 20 Sep 2013.

Implementation of an improved horizontal diffusion scheme into the Méso-NH Günther Zängl Laboratoire d’Aérologie / University of Munich 7 March 2005.

WRF-based rapid updating cycling system of BMB(BJ-RUC) and its performance during the Olympic Games 2008 Min Chen, Shui-yong Fan, Jiqin Zhong Institute.

Erik Crosman 1, John Horel 1, Chris Foster 1, Erik Neemann 1 1 University of Utah Department of Atmospheric Sciences Toward Improved NWP Simulations of.

Matt Vaughan Class Project ATM 621

Does nudging squelch the extremes in regional climate modeling?

WRF Four-Dimensional Data Assimilation (FDDA)

WRF model runs of 2 and 3 August

Simulation of the Arctic Mixed-Phase Clouds

IMPROVING HURRICANE INTENSITY FORECASTS IN A MESOSCALE MODEL VIA MICROPHYSICAL PARAMETERIZATION METHODS By Cerese Albers & Dr. TN Krishnamurti- FSU Dept.

Meteorological Simulations of Utah Basin Cold-Air Pools

Erik M. Neemann, University of Utah

Robert Conrick, Qi Zhong, and Cliff Mass

Schumacher, R., S., and J. M. Peters, 2017

Convective and orographically-induced precipitation study

Idealized snow cover in Uintah Basin and mountains

WRAP 2014 Regional Modeling

Peter M.K. Yau and Badrinath Nagarajan McGill University

Presentation transcript:

UU Unitah Basin WRF Model Configuration (same as DEQ) See Alcott and Steenburgh 2013 for further details on most aspects of this numerical configuration: Namelist used for real.exe is located at: Namelist used for wrf.exe is located at: Overview summary of WRF Namelist options map_proj= 1: Lambert Conformal NAM analyses provide initial cold start and land-surface conditions, and lateral boundary. Idealized snowcover as function of height input to replace poor NOHRSC snow 3 Domains (see next slide) Number of vertical levels = 41 Time step = 45 seconds (15, 5 s for inner 2 grids) Microphysics: Thompson scheme Radiation: RRTM longwave, RRTMG shortwave Surface layer: Monin-Obukov NOAH land-surface option MYJ PBL Scheme Kain-Fritsch cumulus scheme in outer coarse 12 km grid Slope effects for radiation, topo shading turned on 2 nd order diffusion on coordinate surfaces Horizontal Smagorinsky first-order closure for eddy coefficient

WRF Domains 1 - Outer (12 km)2 - Middle (4 km)3 - Inner (1.333 km) 3 one-way nested domains

00Z 1 Feb 2013 Domain 3 Modified Snow Cover 00Z 1 Feb 2013 NAM Analysis Snow Cover 12 cm 17 cm 22 to 28 cm (overestimation inside Uintah Basin) Idealized Snow Cover and Gradient

WRF Performance – 2m Temperatures Average warm bias for 2 m temperatures of 3.4 C within Uintah Basin Larger errors for interior, low level location Better performance at higher elevations in the basin Larger errors overnight due to overproduction of cloud cover Elevation 1570 m Elevation 1630 m Average error = 1.7 C Average error = 3.6 C

WRF Performance - Vertical Structure Temperature and depth of PBL is over-predicted Temperature, Moisture, and winds, well-represented outside of the PBL and above 750 mb WRF SoundingObserved Sounding 18Z 4 Feb 2013 Potential Temperature (K) Wind Speed (m/s) Height (m) WRF Observed

Westerly Wind Intrusion 18Z 1 Feb 06Z 5 Feb12Z 3 Feb 06Z 6 Feb 775 hPa winds (2.3km MSL) Large variation in 775 hPa winds during the 1-7 Feb period Driven by synoptic scale conditions and flow patterns

Westerly Wind Intrusion 1 Feb 2013 Horsepool Red Wash Horsepool vs. Red Wash wind profile comparison 12Z on 1 Feb: 2 m/s at Horsepool 3 m/s at Red Wash Similar wind profiles on 6 Feb, particularly the weak jet around 2.3 km at 06Z & 12Z 6 Feb Feb 2013

Evolution of Boundary-Layer Height 1.6 km 15Z 1 Feb 2.0 km 15Z 4 Feb 12Z 6 Feb 1.7 km From 1-7 February, boundary layer depth undergoes several changes in depth Starts shallow 1-2 Feb Steadily grows into 4 Feb Fluctuates 4-5 Feb Lowers 5-6 Feb

Evolution of Boundary-Layer Depth 4 Feb5 Feb6 Feb Ouray Red Wash 550m 350m 175m 300m 150m 0m

Future Work Detailed case study analysis of temporal evolution and spatial variability in PCAP boundary-layer thermodynamic structure and winds Effect of snow spatial variability on modeled thermally-driven flows Snow-No Snow differences in synoptic/boundary-layer interactions SnowNo Snow