Presentation is loading. Please wait.

Presentation is loading. Please wait.

KIT – University of the State of Baden-Wuerttemberg and National Research Center of the Helmholtz Association INSTITUTE OF METEOROLOGY AND CLIMATE RESEARCH,

Published byFrank French Modified over 9 years ago

Similar presentations

Presentation on theme: "KIT – University of the State of Baden-Wuerttemberg and National Research Center of the Helmholtz Association INSTITUTE OF METEOROLOGY AND CLIMATE RESEARCH,"— Presentation transcript:

1 KIT – University of the State of Baden-Wuerttemberg and National Research Center of the Helmholtz Association INSTITUTE OF METEOROLOGY AND CLIMATE RESEARCH, Atmospheric Environmental Research www.kit.edu Verbesserungen von Windfeldmodellen (z.B. WRF) Richard Foreman, Stefan Emeis stefan.emeis@kit.edu

2 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 2Prof. Dr. Stefan Emeis – Verbesserungen von Windfeldmodellen 07.04..2011 Weather Research and Forecast (WRF) model (http://www.mmm.ucar.edu/wrf/users/) Mellor-Yamada-Janjic (MYJ) planetary boundary layer scheme: Turbulence closure of the atmospheric boundary layer equations (one equation model) Specification of the length scale, l Differential equation for TKE: ½ q 2 = ½ (u′ 2 + v′ 2 + w′ 2 ) Exchange coefficients solved algebraically Typical example for TKE and eddy viscosity (K m ) will be shown below

3 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 3Prof. Dr. Stefan Emeis – Verbesserungen von Windfeldmodellen 07.04..2011 Weather Research and Forecast (WRF) model (http://www.mmm.ucar.edu/wrf/users/)

4 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 4Prof. Dr. Stefan Emeis – Verbesserungen von Windfeldmodellen 07.04..2011

5 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 5Prof. Dr. Stefan Emeis – Verbesserungen von Windfeldmodellen 07.04..2011 WRF with original MYJ scheme (simulation for January 2005 compared to FINO1 data)

6 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 6Prof. Dr. Stefan Emeis – Verbesserungen von Windfeldmodellen 07.04..2011 Mellor-Yamada (1982) closure constants determined from laboratory data between 1950-1975 Have these data been obtained for sufficiently high Reynolds numbers? Have these data been obtained by sufficiently small sensors close to the wall? Hutchins et al., 2009. J Fluid Mech 635, 103-136. Marusic et al., 2010. Int J Heat & Fluid Flow 31, 418-428.

7 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 7Prof. Dr. Stefan Emeis – Verbesserungen von Windfeldmodellen 07.04..2011 Length scale l dependent on stability according to Nakanishi (2001)

8 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 8Prof. Dr. Stefan Emeis – Verbesserungen von Windfeldmodellen 07.04..2011 WRF with modified MYJ scheme (simulation for January 2005 compared to FINO1 data)

9 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 9Prof. Dr. Stefan Emeis – Verbesserungen von Windfeldmodellen 07.04..2011 WRF with modified MYJ scheme (simulation for November 2005 compared to FINO1 data)

10 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 10Prof. Dr. Stefan Emeis – Verbesserungen von Windfeldmodellen 07.04..2011 WRF with modified MYJ scheme (simulation for January 2005 compared to FINO1 and Hamburg data) Ti as function of wind speed

11 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 11Prof. Dr. Stefan Emeis – Verbesserungen von Windfeldmodellen 07.04..2011 WRF with modified MYJ scheme (simulation for February 2005 compared to FINO1 and Høvsøre data) Ti as function of wind speed

12 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 12Prof. Dr. Stefan Emeis – Verbesserungen von Windfeldmodellen 07.04..2011 Conclusions: Updates to MYJ scheme include: - modified model constants - modified specification of length scale Better simulation of turbulence intensity (offshore and onshore) Mean wind speed simulation nearly unchanged Updated model is suited for the simulation of turbulence intensity Further updates possible: - parametrization of marine drag coefficient - influence of moisture fluxes on stability in the MABL

13 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 13Prof. Dr. Stefan Emeis – Verbesserungen von Windfeldmodellen 07.04..2011 Acknowledgements: Work is funded by the German Ministry of the Environment via Projektträger Jülich (PTJ) under grant # 032 50 60 (project VERITAS) VERITAS has become part (AP 5) of project OWEA led by Prof. Kühn, Oldenburg, funded as above under grant # 032 76 96 Hamburg weather mast data have been kindly provided by Ingo Lange and Burghard Brümmer, University of Hamburg, Centre for Marine and Atmospheric Sciences (ZMAW)

14 Institute for Meteorology and Climate Research – Atmospheric Environmental Research 14 Thank you for your attention

Download ppt "KIT – University of the State of Baden-Wuerttemberg and National Research Center of the Helmholtz Association INSTITUTE OF METEOROLOGY AND CLIMATE RESEARCH,"

Similar presentations

Parametrization of PBL outer layer Martin Köhler Overview of models Bulk models local K-closure K-profile closure TKE closure.

Parametrization of PBL outer layer Martin Köhler Overview of models Bulk models local K-closure K-profile closure TKE closure.
Section 2: The Planetary Boundary Layer

Section 2: The Planetary Boundary Layer
Wind Flow Over Forested Hills: Mean Flow and Turbulence Characteristics CEsA - Centre for Wind Energy and Atmospheric Flows, Portugal J. Lopes da Costa,

Wind Flow Over Forested Hills: Mean Flow and Turbulence Characteristics CEsA - Centre for Wind Energy and Atmospheric Flows, Portugal J. Lopes da Costa,
Training course: boundary layer IV Parametrization above the surface layer (layout) Overview of models Slab (integral) models K-closure model K-profile.

Training course: boundary layer IV Parametrization above the surface layer (layout) Overview of models Slab (integral) models K-closure model K-profile.
Non-Universal Turbulence in Planetary Boundary Layers

Non-Universal Turbulence in Planetary Boundary Layers
A drag parameterization for extreme wind speeds that leads to improved hurricane simulations Gerrit Burgers Niels Zweers Vladimir Makin Hans de Vries EMS.

A drag parameterization for extreme wind speeds that leads to improved hurricane simulations Gerrit Burgers Niels Zweers Vladimir Makin Hans de Vries EMS.
Hurricanes Innovative Grid-Enable Multiple-scale Hurricane modeling system Konstantinos Menelaou International Hurricane Research Center Department of.

Hurricanes Innovative Grid-Enable Multiple-scale Hurricane modeling system Konstantinos Menelaou International Hurricane Research Center Department of.
International Conference on Environmental Observations, Modeling and Information Systems ENVIROMIS-2004 17-25 July 2004, Tomsk, Russia International Conference.

International Conference on Environmental Observations, Modeling and Information Systems ENVIROMIS July 2004, Tomsk, Russia International Conference.
The Atmospheric Boundary Layer (ABL) over Mesoscale Surface Heterogeneity 25 June 2009 Song-Lak Kang Research Review.

The Atmospheric Boundary Layer (ABL) over Mesoscale Surface Heterogeneity 25 June 2009 Song-Lak Kang Research Review.
PBL simulated from different PBL Schemes in WRF during DICE

PBL simulated from different PBL Schemes in WRF during DICE
UNIVERSITY OF SOUTH CAROLINA Erosion rate formulation and modeling of turbidity current Ao Yi and Jasim Imran Department of Civil and Environmental Engineering.

UNIVERSITY OF SOUTH CAROLINA Erosion rate formulation and modeling of turbidity current Ao Yi and Jasim Imran Department of Civil and Environmental Engineering.
Skyler Goldman, Meteorology, DMES RELATIONSHIP BETWEEN ROUGHNESS LENGTH, STATIC STABILITY, AND DRAG COEFFICIENT IN A DUNE ENVIRONMENT.

Skyler Goldman, Meteorology, DMES RELATIONSHIP BETWEEN ROUGHNESS LENGTH, STATIC STABILITY, AND DRAG COEFFICIENT IN A DUNE ENVIRONMENT.
The impact of mesoscale PBL parameterizations on the evolution of mixed-layer processes important for fire weather Joseph J. Charney USDA Forest Service,

The impact of mesoscale PBL parameterizations on the evolution of mixed-layer processes important for fire weather Joseph J. Charney USDA Forest Service,
Evan Greer, Mentor: Dr. Marcelo Kobayashi, HARP REU Program August 2, 2012 Contact: globalwindgroup.com.

Evan Greer, Mentor: Dr. Marcelo Kobayashi, HARP REU Program August 2, 2012 Contact: globalwindgroup.com.
0.1m 10 m 1 km Roughness Layer Surface Layer Planetary Boundary Layer Troposphere Stratosphere height The Atmospheric (or Planetary) Boundary Layer is.

0.1m 10 m 1 km Roughness Layer Surface Layer Planetary Boundary Layer Troposphere Stratosphere height The Atmospheric (or Planetary) Boundary Layer is.
Introduction to surface ocean modelling SOPRAN GOTM School Warnemünde: 10.-11.09.07 Hans Burchard Baltic Sea Research Institute Warnemünde, Germany.

Introduction to surface ocean modelling SOPRAN GOTM School Warnemünde: Hans Burchard Baltic Sea Research Institute Warnemünde, Germany.
Implementation of the quasi-normal scale elimination (QNSE) theory of turbulence in a weather prediction model HIRLAM Veniamin Perov¹, Boris Galperin².

Implementation of the quasi-normal scale elimination (QNSE) theory of turbulence in a weather prediction model HIRLAM Veniamin Perov¹, Boris Galperin².
Comparison of Eddy Covariance Results By Wendy Couch, Rob Aves and Larissa Reames.

Comparison of Eddy Covariance Results By Wendy Couch, Rob Aves and Larissa Reames.
NATO ADVANCED STUDY INSTITUTE, Kyiv, May 2004 Detailed numerical modeling of local atmospheric dispersion in an idealized urban area M. Milliez, S. Panzarella,

NATO ADVANCED STUDY INSTITUTE, Kyiv, May 2004 Detailed numerical modeling of local atmospheric dispersion in an idealized urban area M. Milliez, S. Panzarella,
The effect of ship shape and anemometer location on wind speed measurements obtained from ships B I Moat 1, M J Yelland 1, A F Molland 2 and R W Pascal.

The effect of ship shape and anemometer location on wind speed measurements obtained from ships B I Moat 1, M J Yelland 1, A F Molland 2 and R W Pascal.

Similar presentations

Ads by Google