WRF Simulations of the 20–22 January 2007 Snow Events over Eastern Canada: Comparison with In Situ and Satellite Observations

Author:

Shi J. J.12,Tao W-K.1,Matsui T.12,Cifelli R.3,Hou A.4,Lang S.15,Tokay A.16,Wang N-Y.7,Peters-Lidard C.8,Skofronick-Jackson G.1,Rutledge S.3,Petersen W.9

Affiliation:

1. Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland

2. Goddard Earth Sciences and Technology Center, University of Maryland, Baltimore County, Baltimore, Maryland

3. Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado

4. Goddard Modeling Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland

5. Science Systems and Applications, Inc., Greenbelt, Maryland

6. Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, Maryland

7. Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, Maryland

8. Laboratory for Hydrospheric Processes, NASA Goddard Space Flight Center, Greenbelt, Maryland

9. Earth Sciences Office, NASA Marshall Space Flight Center, Huntsville, Alabama

Abstract

Abstract One of the grand challenges of the Global Precipitation Measurement (GPM) mission is to improve cold-season precipitation measurements in mid- and high latitudes through the use of high-frequency passive microwave radiometry. For this purpose, the Weather Research and Forecasting model (WRF) with the Goddard microphysics scheme is coupled with a Satellite Data Simulation Unit (WRF–SDSU) to facilitate snowfall retrieval algorithms over land by providing a virtual cloud library and corresponding microwave brightness temperature measurements consistent with the GPM Microwave Imager (GMI). When this study was initiated, there were no prior published results using WRF at cloud-resolving resolution (1 km or finer) for high-latitude snow events. This study tested the Goddard cloud microphysics scheme in WRF for two different snowstorm events (a lake-effect event and a synoptic event between 20 and 22 January 2007) that took place over the Canadian CloudSat/Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Validation Project (C3VP) site in Ontario, Canada. The 24-h-accumulated snowfall predicted by WRF with the Goddard microphysics was comparable to that observed by the ground-based radar for both events. The model correctly predicted the onset and termination of both snow events at the Centre for Atmospheric Research Experiments site. The WRF simulations captured the basic cloud patterns as seen by the ground-based radar and satellite [i.e., CloudSat and Advanced Microwave Sounding Unit B (AMSU-B)] observations, including the snowband featured in the lake event. The results reveal that WRF was able to capture the cloud macrostructure reasonably well. Sensitivity tests utilizing both the “2ICE” (ice and snow) and “3ICE” (ice, snow, and graupel) options in the Goddard microphysical scheme were also conducted. The domain- and time-averaged cloud species profiles from the WRF simulations with both microphysical options show identical results (due to weak vertical velocities and therefore the absence of large precipitating liquid or high-density ice particles like graupel). Both microphysics options produced an appreciable amount of liquid water, and the model cloud liquid water profiles compared well to the in situ C3VP aircraft measurements when only grid points in the vicinity of the flight paths were considered. However, statistical comparisons between observed and simulated radar echoes show that the model tended to have a high bias of several reflectivity decibels (dBZ), which shows that additional research is needed to improve the current cloud microphysics scheme for the extremely cold environment in high latitudes, despite the fact that the simulated ice/liquid water contents may have been reasonable for both events. Future aircraft observations are also needed to verify the existence of graupel in high-latitude continental snow events.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference59 articles.

1. Mesoscale model simulation of the 4–5 January 1995 lake-effect snowstorm.;Ballentine;Wea. Forecasting,1998

2. A climatology of snow-to-liquid ratio for the contiguous United States.;Baxter;Wea. Forecasting,2005

3. A methodology to derive radar reflectivity–liquid equivalent snow rate relations using C-band radar and a 2D video disdrometer.;Bringi,2008

4. On the inflection point instability of a stratified Ekman boundary layer.;Brown;J. Atmos. Sci.,1972

5. Validation of a cirrus parameterization with Meteosat Second Generation observations.;Chaboureau;Geophys. Res. Lett.,2006

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3