Advances in Meteorology

Storm-Scale Radar Data Assimilation and High Resolution NWP


Publishing date
27 Sep 2013
Status
Published
Submission deadline
10 May 2013

Lead Editor

1National Severe Storms Laboratory/NOAA and Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, 120 David L. Boren Boulevard, Norman, OK 73072, USA

2National Severe Storms Laboratory/NOAA, 120 David L. Boren Boulevard, Norman, OK 73072, USA

3School of Meteorology and Center for Analysis and Prediction of Storms, University of Oklahoma, 120 David L. Boren Boulevard, Norman, OK 73072, USA

4Key Laboratory of Mesoscale Severe Weather/MOE, School of Atmospheric Sciences, Nanjing University, 22 Hankou Road, Nanjing 210093, China


Storm-Scale Radar Data Assimilation and High Resolution NWP

Description

With the steady increase in computing power, operational centers throughout the world are planning to run their numerical models with resolutions that begin to resolve the convective scale. This opens the opportunity and increases the demand for using radar data in convective-scale data assimilation. The potential for successfully assimilating radar data into convective-scale NWP models is predicated on the solution of several key challenges, including data quality control, proper estimation of the background error statistics, and, most notably, the estimation of atmospheric state variables that are not directly observed by radar. The main focus of this special issue will be on progress in some of these important areas.

We are particularly interested in manuscripts that report the problem and solution of radar data quality control and convective-scale radar data assimilation, with an emphasis on radar data to provide information on the storm structure, for the purpose of explicit convective storm prediction and quantitative precipitation forecasting. Additionally, we are also interested in the impact of new data types, such as differential reflectivity from polarimetric radars, on convective-scale NWP. This is also an important, timely, and interesting research topic since in the United States all the WSR-88D radars will be upgraded to have polarimetric capability by the end of 2013. Main topics include, but are not limited to:

  • Radar data quality control
  • Methods for radar data assimilation (3DVAR, EnKF, etc.)
  • Forward operators for reflectivity and radial velocity
  • Assimilation of radar data into high resolution NWP models for prediction of severe convective weather events using radar data as major observations
  • Studies of the high societal impacts of severe weather events

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/amet/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/amet/srhr/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 213579
  • - Editorial

Storm-Scale Radar Data Assimilation and High Resolution NWP

Jidong Gao | David J. Stensrud | ... | Kun Zhao
  • Special Issue
  • - Volume 2013
  • - Article ID 281695
  • - Research Article

Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS Model

Edward Natenberg | Jidong Gao | ... | Frederick H. Carr
  • Special Issue
  • - Volume 2013
  • - Article ID 259052
  • - Research Article

Prediction of Convective Storms at Convection-Resolving 1 km Resolution over Continental United States with Radar Data Assimilation: An Example Case of 26 May 2008 and Precipitation Forecasts from Spring 2009

Ming Xue | Fanyou Kong | ... | Kelvin K. Droegemeier
  • Special Issue
  • - Volume 2013
  • - Article ID 947874
  • - Research Article

Impact of a Diagnostic Pressure Equation Constraint on Tornadic Supercell Thunderstorm Forecasts Initialized Using 3DVAR Radar Data Assimilation

Guoqing Ge | Jidong Gao | Ming Xue
  • Special Issue
  • - Volume 2013
  • - Article ID 512656
  • - Research Article

The Development of a Hybrid EnKF-3DVAR Algorithm for Storm-Scale Data Assimilation

Jidong Gao | Ming Xue | David J. Stensrud
  • Special Issue
  • - Volume 2013
  • - Article ID 792631
  • - Research Article

Retrieving 3D Wind Field from Phased Array Radar Rapid Scans

Xiaobin Qiu | Qin Xu | ... | Pengfei Zhang
  • Special Issue
  • - Volume 2013
  • - Article ID 818394
  • - Research Article

Low-Level Polarimetric Radar Signatures in EnKF Analyses and Forecasts of the May 8, 2003 Oklahoma City Tornadic Supercell: Impact of Multimoment Microphysics and Comparisons with Observation

Daniel T. Dawson II | Louis J. Wicker | ... | Ming Xue
  • Special Issue
  • - Volume 2013
  • - Article ID 731647
  • - Research Article

The Impact of Mesoscale Environmental Uncertainty on the Prediction of a Tornadic Supercell Storm Using Ensemble Data Assimilation Approach

Nusrat Yussouf | Jidong Gao | ... | Guoqing Ge
  • Special Issue
  • - Volume 2013
  • - Article ID 624931
  • - Research Article

Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses

Corey K. Potvin | Louis J. Wicker
  • Special Issue
  • - Volume 2013
  • - Article ID 562386
  • - Research Article

Improved Doppler Velocity Dealiasing for Radar Data Assimilation and Storm-Scale Vortex Detection

Qin Xu | Kang Nai | ... | Qingyun Zhao
Advances in Meteorology
 Journal metrics
Acceptance rate37%
Submission to final decision118 days
Acceptance to publication49 days
CiteScore2.600
Impact Factor1.491
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