Real-Time Applications of the Variational Version of the Local Analysis and Prediction System (vLAPS)

Author:

Jiang Hongli1,Albers Steve1,Xie Yuanfu2,Toth Zoltan2,Jankov Isidora1,Scotten Michael3,Picca Joseph4,Stumpf Greg5,Kingfield Darrel5,Birkenheuer Daniel2,Motta Brian6

Affiliation:

1. Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, and NOAA/ESRL/Global Systems Division, Boulder, Colorado

2. Global Systems Division, NOAA/OAR/ESRL, Boulder, Colorado

3. NOAA/NWS, Norman, Oklahoma

4. NOAA/NWS, Upton, New York

5. Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma and NOAA/NSSL, Norman, Oklahoma

6. Training Division, NOAA/NWS, Boulder, Colorado

Abstract

Abstract The accurate and timely depiction of the state of the atmosphere on multiple scales is critical to enhance forecaster situational awareness and to initialize very short-range numerical forecasts in support of nowcasting activities. The Local Analysis and Prediction System (LAPS) of the Earth System Research Laboratory (ESRL)/Global Systems Division (GSD) is a numerical data assimilation and forecast system designed to serve such very finescale applications. LAPS is used operationally by more than 20 national and international agencies, including the NWS, where it has been operational in the Advanced Weather Interactive Processing System (AWIPS) since 1995. Using computationally efficient and scientifically advanced methods such as a multigrid technique that adds observational information on progressively finer scales in successive iterations, GSD recently introduced a new, variational version of LAPS (vLAPS). Surface and 3D analyses generated by vLAPS were tested in the Hazardous Weather Testbed (HWT) to gauge their utility in both situational awareness and nowcasting applications. On a number of occasions, forecasters found that the vLAPS analyses and ensuing very short-range forecasts provided useful guidance for the development of severe weather events, including tornadic storms, while in some other cases the guidance was less sufficient.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference19 articles.

1. The Local Analysis and Prediction System (LAPS): Analyses of clouds, precipitation, and temperature;Albers;Wea. Forecasting,1996

2. An overview of the 2010 Hazardous Weather Testbed Experimental Forecast Program Spring Experiment;Clark;Bull. Amer. Meteor. Soc.,2012

3. The effect of using AWIPS LAPS to locally initialize the workstation ETA;Etherton;Natl. Wea. Dig.,2006

4. Comparing Local Analysis and Prediction System (LAPS) assimilations with independent observations;Hiemstra;Wea. Forecasting,2006

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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