ISSUES IN HIGH-RESOLUTION ATMOSPHERIC MODELING IN COMPLEX TOPOGRAPHY --THE HiRCoT WORKSHOP

During the past years the atmospheric modeling community, both from the application and pure research perspectives, has been facing the challenge of high resolution numerical modeling in places with complex topography. In February 2012, as a result of the collaborative efforts of the Institute of Meteorology of the University of Natural Resources and Life Sciences (BOKUMet), the Arctic Region Supercomputing Center (ARSC), the Institute of Meteorology and Geophysics of the University of Innsbruck (IMG) and the enthusiasm of the scientific community, the HiRCoT workshop was held in Vienna, Austria. HiRCoT objectives were to: 1) Identify the problems encountered with numerical modeling at grid spacing lower than 1 km over complex terrain, that is, understand the key areas that are troublesome and formulate the key questions about them; 2) Map out possibilities on how to address these issues; 3) Allow the researchers to discuss the issues on a shared platform (online through a wikipage and face-to-face). This manuscript presents an overview of the topics and research priorities discussed in the workshop.

[1]  Slobodan Nickovic,et al.  An Alternative Approach to Nonhydrostatic Modeling , 2001 .

[2]  Wolfgang Wagner,et al.  Assimilation of ASCAT near-surface soil moisture into the SIM hydrological model over France , 2011 .

[3]  P. Seibert,et al.  Simulation of the meteorological conditions during a winter smog episode in the Inn Valley , 2009 .

[4]  M. Xue,et al.  High-Resolution Large-Eddy Simulations of Flow in a Steep Alpine Valley. Part I: Methodology, Verification, and Sensitivity Experiments , 2006 .

[5]  Dino Zardi,et al.  On the boundary‐layer structure over highly complex terrain: Key findings from MAP , 2007 .

[6]  J. Lundquist,et al.  An Immersed Boundary Method for the Weather Research and Forecasting Model , 2014 .

[7]  G. Zängl.  To what extent does increased model resolution improve simulated precipitation fields? A case study of two north-Alpine heavy-rainfall events , 2007 .

[8]  I. Dharssi,et al.  Operational assimilation of ASCAT surface soil wetness at the Met Office , 2011 .

[9]  Takehiko Satomura,et al.  Nonhydrostatic Atmospheric Modeling Using a Combined Cartesian Grid , 2010 .

[10]  Roni Avissar,et al.  The Ocean-Land-Atmosphere Model (OLAM). Part II: Formulation and Tests of the Nonhydrostatic Dynamic Core , 2008 .

[11]  Dieter Scherer,et al.  A Grid- and Subgrid-Scale Radiation Parameterization of Topographic Effects for Mesoscale Weather Forecast Models , 2005 .

[12]  Hiroe Yamazaki,et al.  Non‐hydrostatic atmospheric cut cell model on a block‐structured mesh , 2012 .

[13]  Jürgen Steppeler,et al.  Nonhydrostatic Atmospheric Modeling using az-Coordinate Representation , 2002 .

[14]  Chris Snyder,et al.  A Comparison between the 4DVAR and the Ensemble Kalman Filter Techniques for Radar Data Assimilation , 2005 .

[15]  Jimy Dudhia,et al.  Four-Dimensional Variational Data Assimilation for WRF : Formulation and Preliminary Results , 2009 .

[16]  S. Larsen,et al.  The Nature, Theory, and Modeling of Atmospheric Planetary Boundary Layers , 2011 .

[17]  M. Zappa,et al.  Turbulence Structure and Exchange Processes in an Alpine Valley: The Riviera Project , 2004 .

[18]  Xin Li,et al.  Spatial horizontal correlation characteristics in the land data assimilation of soil moisture , 2012 .

[19]  J. Dudhia,et al.  Improving the representation of resolved and unresolved topographic effects on surface wind in the WRF model , 2012 .

[20]  D. Koracin,et al.  Sub-kilometer dynamical downscaling of near-surface winds in complex terrain using WRF and MM5 mesoscale models , 2012 .