Advances in Meteorology

Advanced Data Assimilation and Predictability Studies on High-Impact Weather and Climate


Publishing date
01 Jul 2010
Status
Published
Submission deadline
01 Jan 2010

Lead Editor

1Department of Atmospheric Sciences, University of Utah, Salt Lake City, UT 84112, USA

2Department of Atmospheric Sciences, Yonsei University, Seoul 120-749, South Korea

3Institute of Arid Meteorology, Chinese Meteorological Administration, Lanzhou 730020, Gansu, China

4Global Climate and Weather Modeling Branch, Environmental Modeling Center, NOAA, MD 20746, USA


Advanced Data Assimilation and Predictability Studies on High-Impact Weather and Climate

Description

High-impact weather and climate systems refer to those events that have significant social, ecological, and economic impacts (such as tropical cyclones, winter storms, floods, droughts). Accurate forecasts of these systems much rely on our understanding of the systems and better representation of them in numerical models. Over the last decade, significant progress has been made in data assimilation, model development, and model diagnostics to enhance the predictability of these high-impact weather and climate systems.

We invite authors to present original and review articles that will stimulate the continuing efforts in advanced data assimilation techniques and numerical modeling developments to enhance the predictability of high-impact weather and climate systems. The topics to be covered include, but are not limited to:

  • Advanced data assimilation techniques, including variational methods and ensemble-based Kalman filters and their applications to high-impact weather and climate studies
  • Ensemble techniques and predictability
  • Development and validation of model physics parameterization schemes
  • Tropical cyclone formation and intensity forecasting
  • Winter storm predictability
  • Numerical simulations and predictability of floods
  • Regional climate modeling
  • Diagnoses and predictability of droughts
  • Social and economic impacts of high-impact weather and climate prediction

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/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2010
  • - Article ID 121763
  • - Editorial

Advanced Data Assimilation and Predictability Studies on High-Impact Weather and Climate

Zhaoxia Pu | Song-You Hong | ... | Hann-Ming Henry Juang
  • Special Issue
  • - Volume 2010
  • - Article ID 619478
  • - Research Article

Numerical Modeling of the Severe Cold Weather Event over Central Europe (January 2006)

D. Hari Prasad | Joanna Wibig | Marcin Rzepa
  • Special Issue
  • - Volume 2010
  • - Article ID 167436
  • - Research Article

Sensitivity Study of Four Land Surface Schemes in the WRF Model

Jiming Jin | Norman L. Miller | Nicole Schlegel
  • Special Issue
  • - Volume 2010
  • - Article ID 756071
  • - Research Article

Impacts of Oceanic Preexisting Conditions on Predictions of Typhoon Hai-Tang in 2005

Akiyoshi Wada | Norihisa Usui
  • Special Issue
  • - Volume 2010
  • - Article ID 915303
  • - Research Article

Towards Direct Simulation of Future Tropical Cyclone Statistics in a High-Resolution Global Atmospheric Model

Michael F. Wehner | G. Bala | ... | Raquel Romano
  • Special Issue
  • - Volume 2010
  • - Article ID 432160
  • - Review Article

Beating the Uncertainties: Ensemble Forecasting and Ensemble-Based Data Assimilation in Modern Numerical Weather Prediction

Hailing Zhang | Zhaoxia Pu
  • Special Issue
  • - Volume 2010
  • - Article ID 346516
  • - Research Article

Reconstruct the Mesoscale Information of Typhoon with BDA Method Combined with AMSU-A Data Assimilation Method

Yunfeng Wang | Haiyang Zhang | ... | Xiaoping Cheng
  • Special Issue
  • - Volume 2010
  • - Article ID 797265
  • - Research Article

A 3.5-Dimensional Variational Method for Doppler Radar Data Assimilation and Its Application to Phased-Array Radar Observations

Qin Xu | Li Wei | ... | Qingyun Zhao
  • Special Issue
  • - Volume 2010
  • - Article ID 837480
  • - Research Article

Impact of Land Use Change on the Local Climate over the Tibetan Plateau

Jiming Jin | Shihua Lu | ... | Norman L. Miller
  • Special Issue
  • - Volume 2010
  • - Article ID 707253
  • - Research Article

Evaluation of the WRF Double-Moment 6-Class Microphysics Scheme for Precipitating Convection

Song-You Hong | Kyo-Sun Sunny Lim | ... | Jimy Dudhia
Advances in Meteorology
 Journal metrics
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Acceptance rate14%
Submission to final decision121 days
Acceptance to publication18 days
CiteScore4.600
Journal Citation Indicator0.490
Impact Factor2.9
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