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Title: A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges

Abstract

Abstract Regional climate modeling using convection‐permitting models (CPMs; horizontal grid spacing <4 km) emerges as a promising framework to provide more reliable climate information on regional to local scales compared to traditionally used large‐scale models (LSMs; horizontal grid spacing >10 km). CPMs no longer rely on convection parameterization schemes, which had been identified as a major source of errors and uncertainties in LSMs. Moreover, CPMs allow for a more accurate representation of surface and orography fields. The drawback of CPMs is the high demand on computational resources. For this reason, first CPM climate simulations only appeared a decade ago. In this study, we aim to provide a common basis for CPM climate simulations by giving a holistic review of the topic. The most important components in CPMs such as physical parameterizations and dynamical formulations are discussed critically. An overview of weaknesses and an outlook on required future developments is provided. Most importantly, this review presents the consolidated outcome of studies that addressed the added value of CPM climate simulations compared to LSMs. Improvements are evident mostly for climate statistics related to deep convection, mountainous regions, or extreme events. The climate change signals of CPM simulations suggest an increase in flash floods, changesmore » in hail storm characteristics, and reductions in the snowpack over mountains. In conclusion, CPMs are a very promising tool for future climate research. However, coordinated modeling programs are crucially needed to advance parameterizations of unresolved physics and to assess the full potential of CPMs.« less

Authors:
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [11];  [12];  [7];  [13];  [14]
  1. National Center for Atmospheric Research Boulder Colorado USA, Wegener Center for Global and Climate Change (WEGC) University of Graz Graz Austria
  2. Earth Sciences Division Lawrence Berkeley National Laboratory Berkeley California USA
  3. Météo‐France/CNRS CNRM‐GAME Toulouse France
  4. Luxembourg Institute of Science and Technology, Environmental Research and Innovation Department Environmental Resource Center Belvaux Luxembourg
  5. Institute for Atmospheric and Climate Science ETH Zurich Zurich Switzerland
  6. Meteorological Institute University of Bonn Bonn Germany, Jülich Supercomputing Centre Research Centre Jülich Jülich Germany, Centre for High‐Performance Scientific Computing in Terrestrial Systems ABC/J Geoverbund Jülich Germany
  7. Institute for Atmospheric and Climate Science ETH Zurich Zurich Switzerland, Center for Climate Systems Modeling ETH Zurich Zurich Switzerland
  8. Institute of Geography Justus‐Liebig Universität Gießen Giessen Germany
  9. Regional and Environmental Sciences, Department of Environmental Meteorology University of Trier Trier Germany
  10. Institute for Coastal Research Helmholtz‐Zentrum Geesthacht Centre for Materials and Coastal Research Geesthacht Germany
  11. Institut für Atmosphäre und Umwelt Goethe‐Universitt Frankfurt am Main Frankfurt Germany
  12. Centre for High‐Performance Scientific Computing in Terrestrial Systems ABC/J Geoverbund Jülich Germany, Agrosphere (IBG‐3) Research Centre Jülich Jülich Germany
  13. Department of Earth and Environmental Sciences KU Leuven Leuven Belgium
  14. Pacific Northwest National Laboratory Richland Washington USA
Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1295958
Alternate Identifier(s):
OSTI ID: 1203886; OSTI ID: 1295959
Report Number(s):
PNNL-SA-106077
Journal ID: ISSN 8755-1209
Grant/Contract Number:  
AC05-76RL01830; AC02-05CH11231
Resource Type:
Published Article
Journal Name:
Reviews of Geophysics (1985)
Additional Journal Information:
Journal Name: Reviews of Geophysics (1985) Journal Volume: 53 Journal Issue: 2; Journal ID: ISSN 8755-1209
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Prein, Andreas F., Langhans, Wolfgang, Fosser, Giorgia, Ferrone, Andrew, Ban, Nikolina, Goergen, Klaus, Keller, Michael, Tölle, Merja, Gutjahr, Oliver, Feser, Frauke, Brisson, Erwan, Kollet, Stefan, Schmidli, Juerg, van Lipzig, Nicole P. M., and Leung, Ruby. A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges. United States: N. p., 2015. Web. doi:10.1002/2014RG000475.
Prein, Andreas F., Langhans, Wolfgang, Fosser, Giorgia, Ferrone, Andrew, Ban, Nikolina, Goergen, Klaus, Keller, Michael, Tölle, Merja, Gutjahr, Oliver, Feser, Frauke, Brisson, Erwan, Kollet, Stefan, Schmidli, Juerg, van Lipzig, Nicole P. M., & Leung, Ruby. A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges. United States. https://doi.org/10.1002/2014RG000475
Prein, Andreas F., Langhans, Wolfgang, Fosser, Giorgia, Ferrone, Andrew, Ban, Nikolina, Goergen, Klaus, Keller, Michael, Tölle, Merja, Gutjahr, Oliver, Feser, Frauke, Brisson, Erwan, Kollet, Stefan, Schmidli, Juerg, van Lipzig, Nicole P. M., and Leung, Ruby. Wed . "A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges". United States. https://doi.org/10.1002/2014RG000475.
@article{osti_1295958,
title = {A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges},
author = {Prein, Andreas F. and Langhans, Wolfgang and Fosser, Giorgia and Ferrone, Andrew and Ban, Nikolina and Goergen, Klaus and Keller, Michael and Tölle, Merja and Gutjahr, Oliver and Feser, Frauke and Brisson, Erwan and Kollet, Stefan and Schmidli, Juerg and van Lipzig, Nicole P. M. and Leung, Ruby},
abstractNote = {Abstract Regional climate modeling using convection‐permitting models (CPMs; horizontal grid spacing <4 km) emerges as a promising framework to provide more reliable climate information on regional to local scales compared to traditionally used large‐scale models (LSMs; horizontal grid spacing >10 km). CPMs no longer rely on convection parameterization schemes, which had been identified as a major source of errors and uncertainties in LSMs. Moreover, CPMs allow for a more accurate representation of surface and orography fields. The drawback of CPMs is the high demand on computational resources. For this reason, first CPM climate simulations only appeared a decade ago. In this study, we aim to provide a common basis for CPM climate simulations by giving a holistic review of the topic. The most important components in CPMs such as physical parameterizations and dynamical formulations are discussed critically. An overview of weaknesses and an outlook on required future developments is provided. Most importantly, this review presents the consolidated outcome of studies that addressed the added value of CPM climate simulations compared to LSMs. Improvements are evident mostly for climate statistics related to deep convection, mountainous regions, or extreme events. The climate change signals of CPM simulations suggest an increase in flash floods, changes in hail storm characteristics, and reductions in the snowpack over mountains. In conclusion, CPMs are a very promising tool for future climate research. However, coordinated modeling programs are crucially needed to advance parameterizations of unresolved physics and to assess the full potential of CPMs.},
doi = {10.1002/2014RG000475},
journal = {Reviews of Geophysics (1985)},
number = 2,
volume = 53,
place = {United States},
year = {Wed May 27 00:00:00 EDT 2015},
month = {Wed May 27 00:00:00 EDT 2015}
}

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