AROME-MetCoOp: A Nordic Convective-Scale Operational Weather Prediction Model

Malte Müller; Mariken Homleid; Karl-Ivar Ivarsson; Morten A. Ø. Køltzow; Magnus Lindskog; Knut Helge Midtbø; Ulf Andrae; Trygve Aspelien; Lars Berggren; Dag Bjørge; Per Dahlgren; Jørn Kristiansen; Roger Randriamampianina; Martin Ridal; Ole Vignes

doi:10.1175/waf-d-16-0099.1

journal article Mar 15, 2017

AROME-MetCoOp: A Nordic Convective-Scale Operational Weather Prediction Model

Malte Müller Mariken Homleid Karl-Ivar Ivarsson Morten A. Ø. Køltzow Magnus Lindskog Knut Helge Midtbø Ulf Andrae Trygve Aspelien Lars Berggren Dag Bjørge Per Dahlgren Jørn Kristiansen Roger Randriamampianina Martin Ridal Ole Vignes

Weather and Forecasting Vol. 32 No. 2 pp. 609-627 · American Meteorological Society

View at Publisher Save 10.1175/waf-d-16-0099.1

Abstract

Abstract
Since October 2013 a convective-scale weather prediction model has been used operationally to provide short-term forecasts covering large parts of the Nordic region. The model is now operated by a bilateral cooperative effort [Meteorological Cooperation on Operational Numerical Weather Prediction (MetCoOp)] between the Norwegian Meteorological Institute and the Swedish Meteorological and Hydrological Institute. The core of the model is based on the convection-permitting Applications of Research to Operations at Mesoscale (AROME) model developed by Météo-France. In this paper the specific modifications and updates that have been made to suit advanced high-resolution weather forecasts over the Nordic regions are described. This includes modifications in the surface drag description, microphysics, snow assimilation, as well as an update of the ecosystem and surface parameter description. Novel observation types are introduced in the operational runs, including ground-based Global Navigation Satellite System (GNSS) observations and radar reflectivity data from the Norwegian and Swedish radar networks. After almost two years’ worth of experience with the AROME-MetCoOp model, the model’s sensitivities to the use of specific parameterization settings are characterized and the forecast skills demonstrating the benefit as compared with the global European Centre for Medium-Range Weather Forecasts’ Integrated Forecasting System (ECMWF-IFS) are evaluated. Furthermore, case studies are provided to demonstrate the ability of the model to capture extreme precipitation and wind events.

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References

33

[1]

Bauer (2013)

[2]

Berre "Estimation of synoptic and mesoscale forecast error covariances in a limited-area model" Mon. Wea. Rev. (2000) 10.1175/1520-0493(2000)128<0644:eosamf>2.0.co;2

[3]

Brossier "Two-way one-dimensional high-resolution air–sea coupled modelling applied to Mediterranean heavy rain events" Quart. J. Roy. Meteor. Soc. (2009) 10.1002/qj.338

[4]

Brousseau "Flow-dependent background-error covariances for a convective-scale data assimilation system" Quart. J. Roy. Meteor. Soc. (2012) 10.1002/qj.920

[5]

Caumont "1D+3DVar assimilation of radar reflectivity data: A proof of concept" Tellus (2010) 10.1111/j.1600-0870.2009.00430.x

[6]

Chang "Radar data assimilation in the Canadian high-resolution ensemble Kalman filter system: Performance and verification with real summer cases" Mon. Wea. Rev. (2014) 10.1175/mwr-d-13-00291.1

[7]

Dahlgren (2013)

[8]

Dahlgren "Assimilating host model information into a limited area model" Tellus (2012) 10.3402/tellusa.v64i0.15836

[9]

Davies "A lateral boundary formulation for multi-level prediction models" Quart. J. Roy. Meteor. Soc. (1976) 10.1002/qj.49710243210

[10]

Dee "Bias and data assimilation" Quart. J. Roy. Meteor. Soc. (2005) 10.1256/qj.05.137

[11]

Donier (2012)

[12]

Donlon "The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system" Remote Sens. Environ. (2012) 10.1016/j.rse.2010.10.017

[13]

Ebert "Fuzzy verification of high-resolution gridded forecasts: A review and proposed framework" Meteor. Appl. (2008) 10.1002/met.25

[14]

Faroux "ECOCLIMAP-II/Europe: A twofold database of ecosystems and surface parameters at 1 km resolution based on satellite information for use in land surface, meteorological and climate models" Geosci. Model Dev. (2013) 10.5194/gmd-6-563-2013

[15]

Guidard "Introducing the coupling information in a limited-area variational assimilation" Quart. J. Roy. Meteor. Soc. (2008) 10.1002/qj.215

[16]

Homleid (2013)

[17]

Kristiansen "High-resolution ensemble prediction of a polar low development" Tellus (2011) 10.1111/j.1600-0870.2010.00498.x

[18]

Masson "A global database of land surface parameters at 1-km resolution in meteorological and climate models" J. Climate (2003) 10.1175/1520-0442-16.9.1261

[19]

Masson "The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes" Geosci. Model Dev. (2013) 10.5194/gmd-6-929-2013

[20]

Montmerle "Diagnosis and formulation of heterogeneous background-error covariances at the mesoscale" Quart. J. Roy. Meteor. Soc. (2010) 10.1002/qj.655

[21]

Pinty (1998)

[22]

Randriamampianina "Impact of high resolution observations in the ALADIN/HU model" Idojaras (2006)

[23]

Randriamampianina "Exploring the assimilation of IASI radiances in forecasting polar lows" Quart. J. Roy. Meteor. Soc. (2011) 10.1002/qj.838

[24]

Roberts "Scale-selective verification of rainfall accumulations from high-resolution forecasts of convective events" Mon. Wea. Rev. (2008) 10.1175/2007mwr2123.1

[25]

Sánchez Arriola "Variational bias correction of GNSS ZTD in the HARMONIE modeling system" J. Appl. Meteor. Climatol. (2016) 10.1175/jamc-d-15-0137.1

[26]

Schwartz "A real-time convection-allowing ensemble prediction system initialized by mesoscale ensemble Kalman filter analyses" Wea. Forecasting (2015) 10.1175/waf-d-15-0013.1

[27]

Seity "The AROME-France convective-scale operational model" Mon. Wea. Rev. (2011) 10.1175/2010mwr3425.1

[28]

Simmons "An energy and angular-momentum conserving vertical finite-difference scheme and hybrid vertical coordinates" Mon. Wea. Rev. (1981) 10.1175/1520-0493(1981)109<0758:aeaamc>2.0.co;2

[29]

Sun "Convective-scale assimilation of radar data: progress and challenges" Quart. J. Roy. Meteor. Soc. (2005) 10.1256/qj.05.149

[30]

Taillefer (2002)

[31]

Valkonen "Assimilating Advanced Scatterometer winds in a high-resolution limited area model over northern Europe" IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. (2016) 10.1109/jstars.2016.2602889

[32]

Von Storch "A spectral nudging technique for dynamical downscaling purposes" Mon. Wea. Rev. (2000) 10.1175/1520-0493(2000)128<3664:asntfd>2.0.co;2

[33]

Wattrelot "Operational implementation of the 1D+3D-Var assimilation method of radar reflectivity data in the AROME model" Mon. Wea. Rev. (2014) 10.1175/mwr-d-13-00230.1

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Details

Published: Mar 15, 2017
Vol/Issue: 32(2)
Pages: 609-627
License: View

Authors

M

Malte Müller