Development and Testing of Polar WRF *

Similar documents
Development and Validation of Polar WRF

Benchmarking Polar WRF in the Antarctic *

Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio

Arctic System Reanalysis *

A Synthesis of Arctic Climate Change *

Polar WRF. Polar Meteorology Group Byrd Polar and Climate Research Center The Ohio State University Columbus Ohio

Jordan G. Powers Kevin W. Manning. Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, CO

Arctic System Reanalysis

Development and Testing of Polar Weather Research and Forecasting (WRF) Model. Part I: Greenland Ice Sheet Meteorology*

Arctic System Reanalysis Provides Highresolution Accuracy for Arctic Studies

Polar Weather Prediction

Jordan G. Powers Kevin W. Manning. Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, Colorado, USA

Polar COAWST. Coupled Atmosphere (Land) Ocean Sea Ice Wave Sediment Transport Modeling System for Polar Regions

Development and testing of Polar Weather Research and Forecasting model: 2. Arctic Ocean

EVALUATION OF ANTARCTIC MESOSCALE PREDICTION SYSTEM (AMPS) FORECASTS FOR DIFFERENT SYNOPTIC WEATHER PATTERNS

Arctic System Reanalysis Depiction of Arctic Atmospheric Circulation

IMPACT OF ASSIMILATING COSMIC FORECASTS OF SYNOPTIC-SCALE CYCLONES OVER WEST ANTARCTICA

Sea Ice Enhancements to Polar WRF*

Shu-Ya Chen 1, Tae-Kwon Wee 1, Ying-Hwa Kuo 1,2, and David H. Bromwich 3. University Corporation for Atmospheric Research, Boulder, Colorado 2

Towards the Fourth GEWEX Atmospheric Boundary Layer Model Inter-Comparison Study (GABLS4)

Simulation studies for Lake Taihu effect on local meteorological environment. Ren Xia

CAPS Storm-Scale Ensemble Forecasting (SSEF) System

Development and Testing of Polar WRF. Part III: Arctic Land*

Contributions to The State of Climate 2004 Recent Greenland climate variability and consequences to ice sheet mass balance

WRF-RTFDDA Optimization and Wind Farm Data Assimilation

P1.2 SENSITIVITY OF WRF MODEL FORECASTS TO DIFFERENT PHYSICAL PARAMETERIZATIONS IN THE BEAUFORT SEA REGION

Assessment of the Noah LSM with Multi-parameterization Options (Noah-MP) within WRF

Testing and Improving Pacific NW PBL forecasts

Sea Ice Update. Marika Holland and David Bailey. National Center for Atmospheric Research. CESM Workshop. University of Toronto

The Arctic System Reanalysis:

Uncertainties in planetary boundary layer schemes and current status of urban boundary layer simulations at OU

Air Quality Screening Modeling

Comprehensive evaluation of polar weather research and forecasting model performance in the Antarctic

GEWEX Atmospheric Boundary Layer Model

YOPP-SH Implementation Plan of KOPRI

AMPS Update June 2017

Solar irradiance modelling over Belgium using WRF-ARW :

MOTIVATION. New view of Arctic cyclone activity from the Arctic System Reanalysis

CAPS Storm-Scale Ensemble Forecast for the NOAA Hazardous Weather Testbed (HWT) Spring Experiment

Extremely cold weather events caused by arctic air mass and its synoptic situation in Finland from the year 1950 onwards

New Development in CAPS Storm-Scale Ensemble Forecasting System for NOAA 2012 HWT Spring Experiment

Downscaling and Probability

Lightning Data Assimilation using an Ensemble Kalman Filter

D.Carvalho, A, Rocha, at 2014 Applied Energy. Report person:zhang Jiarong. Date:

Comprehensive Analysis of Annual 2005/2008 Simulation of WRF/CMAQ over Southeast of England

Improved rainfall and cloud-radiation interaction with Betts-Miller-Janjic cumulus scheme in the tropics

UNIVERSITY OF CALIFORNIA

An analysis of Wintertime Cold-Air Pool in Armenia Using Climatological Observations and WRF Model Data

Improving the representation of the Greater Arctic with ASRv2. D. H. Bromwich and many collaborators

ANNUAL WRF SIMULATIONS FOR THE UTAH BUREAU OF LAND MANAGEMENT S AIR RESOURCE MANAGEMENT STRATEGY (ARMS) AIR QUALITY MODELING

Evaluation of nonlocal and local planetary boundary layer schemes in the WRF model

THE ARCTIC SYSTEM REANALYSIS D. H. Bromwich et al. Presented by: J. Inoue

Observational Needs for Polar Atmospheric Science

High-Resolution Regional Climate Simulations over Iceland Using Polar MM5*

A Study of Convective Initiation Failure on 22 Oct 2004

The New Thompson Microphysical Scheme in WRF

Evaluation of the WRF model based on observations made by controlled meteorological balloons in the atmospheric boundary layer of Svalbard

PSU HFIP 2010 Summary: Performance of the ARW-EnKF Real-time Cloud-resolving TC Ensemble Analysis and Forecasting System.

A Cycled GSI+EnKF and Storm-Scale Ensemble Forecasting (SSEF) Experiment

Di Wu, Xiquan Dong, Baike Xi, Zhe Feng, Aaron Kennedy, and Gretchen Mullendore. University of North Dakota

Modeling the Arctic Climate System

Impact of vegetation cover estimates on regional climate forecasts

Arctic Boundary Layer

COSMIC GPS Radio Occultation and

Creating Meteorology for CMAQ

Cities & Storms: How Land Use, Settlement Patterns, and the Shapes of Cities Influence Severe Weather

Pseudo-Global warming approach using 4KM WRF model

Stable and transitional (and cloudy) boundary layers in WRF. Wayne M. Angevine CIRES, University of Colorado, and NOAA ESRL

Chris Lennard. Downscaling seasonal forecasts over South Africa

WRF Model Simulated Proxy Datasets Used for GOES-R Research Activities

The Developmental Testbed Center (DTC) Steve Koch, NOAA/FSL

Weather Research and Forecasting Model. Melissa Goering Glen Sampson ATMO 595E November 18, 2004

The WRF Microphysics and a Snow Event in Chicago

Wind conditions based on coupling between a mesoscale and microscale model

The Global Weather Research and Forecasting (GWRF) Model: Model Evaluation, Sensitivity Study, and Future Year Simulation

2012 AHW Stream 1.5 Retrospective Results

Consortium October 4, 2012

Real case simulations using spectral bin cloud microphysics: Remarks on precedence research and future activity

Dynamic Ensemble Model Evaluation of Elevated Thunderstorms sampled by PRECIP

RIME: IMPROVING MULTISCALE FORECASTING OF ANTARCTIC METEOROLOGY

New Insights into the January 2016 West Antarctic Melt Event from the AWARE Campaign and Climate Model Simulations

Incorporation of 3D Shortwave Radiative Effects within the Weather Research and Forecasting Model

Modeling Challenges At High Latitudes. Judith Curry Georgia Institute of Technology

Supplementary Material

Application and Evaluation of the Global Weather Research and Forecasting (GWRF) Model

Comparison of Typhoon Track Forecast using Dynamical Initialization Schemeinstalled

ATOC OUR CHANGING ENVIRONMENT Class 19 (Chp 6) Objectives of Today s Class: The Cryosphere [1] Components, time scales; [2] Seasonal snow

Influences of PBL Parameterizations on Warm-Season Convection-Permitting Regional Climate Simulations

A GCM Reconstruction of the Last Glacial Inception

Key Laboratory of Mesoscale Severe Weather, Ministry of Education, School of Atmospheric Sciences, Nanjing University

M. Mielke et al. C5816

Sensitivity of precipitation forecasts to cumulus parameterizations in Catalonia (NE Spain)

Analysis and accuracy of the Weather Research and Forecasting Model (WRF) for Climate Change Prediction in Thailand

14.3 ENHANCEMENT OF POLAR WRF ATMOSPHERIC AND SURFACE PROCESSES: A CONTRIBUTION TO ARCTIC SYSTEM REANALYSIS AND PUBLIC AWARENESS*

WIND CLIMATE ESTIMATION USING WRF MODEL OUTPUT: MODEL SENSITIVITIES

An Assessment of Contemporary Global Reanalyses in the Polar Regions

ANALYSIS OF THE MPAS CONVECTIVE-PERMITTING PHYSICS SUITE IN THE TROPICS WITH DIFFERENT PARAMETERIZATIONS OF CONVECTION REMARKS AND MOTIVATIONS

Advanced Hurricane WRF (AHW) Physics

Developing a High-Resolution Texas Water and Climate Prediction Model

Francis O. 1, David H. Bromwich 1,2

Transcription:

Development and Testing of Polar WRF * David H. Bromwich, Keith M. Hines and Le-Sheng Bai Polar Meteorology Group Byrd Polar Research Center The Ohio State University Columbus, Ohio *Supported by NSF, NOAA, and NASA

Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio Outline Polar Modeling Lessons from Polar MM5 work WRF development simulations for Greenland Test vs. AWS and Polar MM5 December 2002 (winter) June 2001 (summer) WRF development in the Arctic SHEBA 1997/98

1. Begin with Greenland Testing Work with Polar MM5 2. MM5 was also adapted for polar applications (1) Real-time forecasting/operational uses - AMPS (2) Synoptic studies (3) Regional Climate studies (4) Paleoclimate studies 3. Polar Optimizations to MM5 physics (1) Revised cloud / radiation interaction (2) Modified explicit ice phase microphysics (3) Optimized turbulence (boundary layer) parameterization (4) Implementation of a sea ice surface type (5) Improved treatment of heat transfer through snow/ice surfaces (6) Improved upper boundary treatment

Greenland as a Microcosm for Antarctica North Atlantic Grids for Greenland Polar WRF Simulations 110 x 100 40 km spacing 28 levels 97 x 139 24 km spacing 28 levels

Polar MM5 Correlation 0.93 Bias -2.6 RMSE 3.7 Polar WRF (Noah LSM + Eta PBL + WSM5 Microphys) Correlation 0.92 Bias -0.1 RMSE 3.1 Polar MM5 Correlation 0.75 Bias 4.4 RMSE 5.5 Polar WRF Correlation 0.92 Bias 1.2 RMSE 2.8

Polar MM5 (Summit) Correlation 0.84 Bias -2.3 RMSE 5.6 Polar WRF (Summit) Noah + MYJ + WSM5 Correlation 0.80 Bias 3.0 RMSE 6.0 Polar MM5 (Summit) Correlation 0.87 Bias 2.5 RMSE 3.1 Polar WRF (Summit) Correlation 0.85 Bias 1.5 RMSE 2.4

Summary of Greenland Simulations Following the path of development for Polar MM5, WRF is being optimized for polar applications beginning with Greenland domains. Best results for WRF are achieved with the Noah LSM, the MYJ PBL, and the WRF-single moment 5-class microphysics. Polar WRF is at least as successful as Polar MM5 for simulations of the Greenland winter surface layer. Polar WRF simulations of the Greenland summer surface layer are comparable to those of Polar MM5 when verified with AWS observations, and surface energy balance for Polar WRF is better.

Noah LSM + YSU PBL + Thompson et al. microphysics Western Arctic Domain for Comparison with SHEBA observations 141 x 111 25 km spacing 28 levels

Correlation 0.87/0.86 Bias -0.33/0.01 Correlation 0.88 Bias 0.67

Good Results for January 1998

Needs for Polar WRF Test for Arctic land surfaces Test fractional sea ice treatment More tests needed for cloud microphysics Testing and improvements of subsurface treatment for soil and ice More testing with AMPS Antarctic forecasts

Summer Greenland Case: June 2001 97 x 139 grid 24 km spacing Run Correlation Bias RMSE Polar WRF - Swiss Camp 0.87-0.6 1.8 Polar MM5 Swiss Camp 0.86-0.7 1.9 Polar WRF - Summit 0.76 2.6 4.8 Polar MM5 Summit 0.79-0.1 3.8

Summer Greenland Case: June 2001 97 x 139 grid 24 km spacing Run Correlation Bias RMSE Polar WRF - Swiss Camp 0.77-0.3 2.0 Polar MM5 Swiss Camp 0.83 1.0 2.1 Polar WRF - Summit 0.75-0.3 1.5 Polar MM5 Summit 0.72-0.1 1.6