The HARMONIE-AROME model configuration in the ALADIN-HIRLAM NWP system

Monthly Weather Review

Volumn 145, Issue 5, 2017, Pages 1919-1935

  Bengtsson, Lisa ^a   Andrae, Ulf ^a   Aspelien, Trygve ^b   Batrak, Yurii ^b   Calvo, Javier ^c   Rooy, Wim de ^d   Gleeson, Emily ^e   Hansen Sass, Bent ^f   Homleid, Mariken ^d   Hortal, Mariano ^c   Ivarsson, Karl Ivar ^a   Lenderink, Geert ^d   Niemelä, Sami ^g   Nielsen, Kristian Pagh ^c   Onvlee, Jeanette ^d   Rontu, Laura ^g   Samuelsson, Patrick ^a   Muñoz, Daniel Santos ^g   Subias, Alvaro ^g   Tijm, Sander ^d   Toll, Velle ^h   Yang, Xiaohua ^f   Køltzow, Morten Ødegaard ^b   more..

^a SWEDISH METEOROLOGICAL AND HYDROLOGICAL INSTITUTE   (Sweden)

^b NORWEGIAN METEOROLOGICAL INSTITUTE   (Norway)

^c Agencia Estatal de Meteorologia AEMET   (Spain)

^d ROYAL NETHERLANDS METEOROLOGICAL INSTITUTE KNMI   (Netherlands)

^e Irish Meteorological Service   (Ireland)

^f DANISH METEOROLOGICAL INSTITUTE   (Denmark)

^g FINNISH METEOROLOGICAL INSTITUTE   (Finland)

^h UNIVERSITY OF TARTU   (Estonia)

Author keywords

Mesoscale forecasting; Numerical weather prediction forecasting

Indexed keywords

FORECASTING;

ENSEMBLE PREDICTION SYSTEMS; HORIZONTAL RESOLUTION; JOINT MODELING; LATERAL BOUNDARY CONDITIONS; MESOSCALE FORECASTING; MODEL CONFIGURATION; NUMERICAL WEATHER PREDICTION MODELS; NUMERICAL WEATHER PREDICTION/FORECASTING;

WEATHER FORECASTING;

ALGORITHM; CLIMATE PREDICTION; DATA ASSIMILATION; ENSEMBLE FORECASTING; MESOSCALE METEOROLOGY; NUMERICAL METHOD; PARAMETERIZATION; WEATHER FORECASTING;

EUROPE; NORTH AFRICA;

EID: 85017109197     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-16-0417.1     Document Type: Article

References (107)

1. Baas, P., S. R. de Roode, and G. Lenderink, 2008: The scaling behaviour of a turbulent kinetic energy closure model for stably stratified conditions. Bound.-Layer Meteor., 127, 17-36, doi:10.1007/s10546-007-9253-y. CrossRef
2. Bechtold, P., J. Cuipers, P. Marscart, and P. Trouilet, 1995: Modeling of trade wind cumuli with a low-order turbulence model: Toward a unified description of Cu and Sc clouds in meteorological models. J. Atmos. Sci., 52, 455-463, doi:10.1175/1520-0469(1995)052<0455:MOTWCW>2.0.CO;2. Link
3. Belamari, S., 2005: Report on uncertainty estimates of an optimal bulk formulation for surface turbulent fluxes. Marine Environment and Security for the European Area-Integrated Project MERSEA IP Deliverable D4.1.2, 29 pp.
4. Bénard, P., J. Vivoda, J. Mašek, P. Smolíková, K. Yessad, C. Smith, R. Brožková, and J.-F. Geleyn, 2010: Dynamical kernel of the Aladin-NH spectral limited-area model: Revised formulation and sensitivity experiments. Quart. J. Roy. Meteor. Soc., 136, 155-169, doi:10.1002/qj.522. CrossRef
5. Bengtsson, L., S. Tijm, F. Vána, and G. Svensson, 2012: Impact of flow-dependent horizontal diffusion on resolved convection in AROME. J. Appl. Meteor. Climatol., 51, 54-67, doi:10.1175/JAMC-D-11-032.1. Link
6. Blumberg, A. F., and G. L. Mellor, 1987: A description of a three-dimensional coastal ocean circulation model. Three-Dimensional Coastal Ocean Models, N. S. Heaps, Ed., Coastal and Estuarine Sciences, Vol. 4, Amer. Geophys. Union, 1-16, doi:10.1029/CO004p0001.
7. Böing, S. J., A. P. Siebesma, J. D. Korpershoek, and H. J. J. Jonker, 2012: Detrainment in deep convection. Geophys. Res. Lett., 39, L20816, doi:10.1029/2012GL053735. CrossRef
8. Boone, A., J.-C. Calvet, and J. Noilhan, 1999: Inclusion of a third soil layer in a land surface scheme using the force-restore method. J. Appl. Meteor., 38, 1611-1630, doi:10.1175/1520-0450(1999)038<1611:IOATSL>2.0.CO;2. Link
9. Bougeault, P., 1982: Cloud-ensemble relations based on the gamma probability distributions for the higher-order models of the planetary boundary layer. Mon. Wea. Rev., 117, 1870-1888, doi:10.1175/1520-0469(1982)039<2691:CERBOT>2.0.CO;2.
10. Bouteloup, Y., Y. Seity, and E. Bazile, 2011: Description of the sedimentation scheme used operationally in all Météo-France NWP models. Tellus, 63A, 300-311, doi:10.1111/j.1600-0870.2010.00484.x. CrossRef
11. Brousseau, P., Y. Seity, D. Ricard, and J. Léger, 2016: Improvement of the forecast of convective activity from the AROME-France system. Quart. J. Roy. Meteor. Soc., 142, 2231-2243, doi:10.1002/qj.2822. CrossRef
12. Bubnova, R., G. Hello, P. Bénard, and J.-F. Geleyn, 1995: Integration of the fully elastic equations cast in the hydrostatic pressure terrain-following coordinate in the framework of the ARPEGE/ALADIN NWP system. Mon. Wea. Rev., 123, 515-535, doi:10.1175/1520-0493(1995)123<0515:IOTFEE>2.0.CO;2. Link
13. Charnock, H., 1955: Wind stress on a water surface. Quart. J. Roy. Meteor. Soc., 81, 639-640, doi:10.1002/qj.49708135027. CrossRef
14. Choulga, M., E. Kourzeneva, E. Zakharova, and A. Doganovsky, 2014: Estimation of the mean depth of boreal lakes for use in numerical weather prediction and climate modelling. Tellus, 66A, 21295, doi:10.3402/tellusa.v66.21295.
15. Coakley, J. A., Jr., and P. Chylek, 1975: The two-stream approximation in radiative transfer: Including the angle of the incident radiation. J. Atmos. Sci., 32, 409-418, doi:10.1175/1520-0469(1975)032<0409:TTSAIR>2.0.CO;2. Link
16. Cuxart, J., P. Bougeault, and J.-L. Redelsperger, 2000: A turbulence scheme allowing for mesoscale and large-eddy simulations. Quart. J. Roy. Meteor. Soc., 126, 1-30, doi:10.1002/qj.49712656202. CrossRef
17. Danielson, J., and D. Gesch, 2011: Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010). U.S. Geological Survey Tech. Rep. Open-File Rep. 2011-1073, 26 pp. [Available online at https://pubs.usgs.gov/of/2011/1073/pdf/of2011-1073.pdf.]
18. Davies, H. C., 1976: A lateral boundary formulation for multi-level prediction models. Quart. J. Roy. Meteor. Soc., 102, 405-418, doi:10.1002/qj.49710243210. CrossRef
19. Deardorff, J. W., 1980: Stratocumulus-capped mixed layers derived from a three-dimensional model. Bound.-Layer Meteor., 18, 495-527, doi:10.1007/BF00119502. CrossRef
20. Derbyshire, S., A. Maidens, S. Milton, R. Stratton, and M. Willett, 2011: Adaptive detrainment in a convective parameterization. Quart. J. Roy. Meteor. Soc., 137, 1856-1871, doi:10.1002/qj.875. CrossRef
21. de Roode, S. R., H. J. J. Jonker, P. G. Duynkerke, and B. Stevens, 2004: Countergradient fluxes of conserved variables in the clear convective and stratocumulus-topped boundary layer: The role of the entrainment flux. Bound.-Layer Meteor., 112, 179-196, doi:10.1023/B:BOUN.0000020167.25780.16. CrossRef
22. de Roode, S. R., A. P. Siebesma, H. J. J. Jonker, and Y. de Voogd, 2012: Parameterization of the vertical velocity equation for shallow cumulus clouds. Mon. Wea. Rev., 140, 2424-2436, doi:10.1175/MWR-D-11-00277.1. Link
23. de Rooy, W. C., 2014: The fog above sea problem: Part 1 analysis. ALADIN-HIRLAM Newsletter, No. 2, Météo-France, Centre National de Recerches Meteorologiques, Toulouse, France, 9-15. [Available online at http://hirlam.org/index.php/component/docman/doc_download/1490-aladin-hirlam-newsletter-no-2-april-2014?Itemid=218.]
24. de Rooy, W. C., and A. P. Siebesma, 2008: A simple parameterization for detrainment in shallow cumulus. Mon. Wea. Rev., 136, 560-576, doi:10.1175/2007MWR2201.1. Link
25. de Rooy, W. C., and A. P. Siebesma, 2010: Analytical expressions for entrainment and detrainment in cumulus convection. Quart. J. Roy. Meteor. Soc., 136, 1216-1227, doi:10.1002/qj.640.
26. de Rooy, W. C., and H. de Vries, 2017: Harmonie verification and evaluation. HIRLAM Tech. Rep. 70, 79 pp. [Available from HIRLAM-A Programme, c/o J. Onvlee, KNMI, P.O. Box 201, 3730 AE De Bilt, Netherlands.]
27. de Rooy, W. C., and Coauthors, 2013: Entrainment and detrainment in cumulus convection: An overview. Quart. J. Roy. Meteor. Soc., 139, 1-19, doi:10.1002/qj.1959. CrossRef
28. Douville, H., J.-F. Royer, and J.-F. Mahfouf, 1995: A new snow parameterization for the Météo-France climate model. Part I: Validation in stand-alone experiments. Climate Dyn., 12, 21-35, doi:10.1007/BF00208760. CrossRef
29. ECMWF, 2015a: Operational implementation 12 May 2015. Part III: Dynamics and numerical procedures. European Centre for Medium-Range Weather Forecasts IFS Doc. Cy41r1, 29 pp. [Available online at http://www.ecmwf.int/en/elibrary/9210-part-iii-dynamics-and-numerical-procedures.]
30. ECMWF, 2015b: Operational implementation 12 May 2015. Part IV: Physical processes. European Centre for Medium-Range Weather Forecasts IFS Doc. Cy41r1, 213 pp. [Available online at http://www.ecmwf.int/sites/default/files/elibrary/2016/16648-part-iv-physical-processes.pdf.]
31. FAO, 2006: World reference base for soil resources 2006: A framework for international classification, correlation and communication. World Soil Resources Rep. 103, Food and Agriculture Organization of the United Nations, 128 pp. [Available online at http://www.fao.org/3/a-a0510e.pdf.]
32. Faroux, S., A. T. Kaptué Tchuenté, J.-L. Roujean, V. Masson, E. Martin, and P. Le Moigne, 2013: 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., 6, 563-582, doi:10.5194/gmd-6-563-2013. CrossRef
33. Fouquart, Y., and B. Bonnel, 1980: Computations of solar heating of the earth's atmosphere-A new parameterization. Beitr. Phys. Atmos., 53, 35-62.
34. Fu, Q., 1996: An accurate parameterization of the solar radiative properties of cirrus clouds for climate models. J. Climate, 9, 2058-2082, doi:10.1175/1520-0442(1996)009<2058:AAPOTS>2.0.CO;2. Link
35. Fu, Q., P. Yang, and W. B. Sun, 1998: An accurate parameterization of the infrared radiative properties of cirrus clouds for climate models. J. Climate, 11, 2223-2237, doi:10.1175/1520-0442(1998)011<2223:AAPOTI>2.0.CO;2. Link
36. Geleyn, J., J. J. Mašek, R. Brožková, P. Kuma, D. Degrauwe, G. Hello, and N. Pristov, 2017: Single interval longwave radiation scheme based on the net exchanged rate decomposition with bracketing. Quart. J. Roy. Meteor. Soc., doi:10.1002/qj.3006, in press. CrossRef
37. Gleeson, E., K. Nielsen, V. Toll, and L. Rontu, 2015: Shortwave Radiation Experiments in HARMONIE. Tests of the cloud inhomogeneity factor and a new cloud liquid optical property scheme compared to observations. ALADIN-HIRLAM Newsletter, No. 5, Météo-France, Centre National de Recerches Meteorologiques, Toulouse, France, 92-106. [Available online at http://www.umr-cnrm.fr/aladin/IMG/pdf/nl5.pdf.]
38. Gleeson, E., V. Toll, K. P. Nielsen, L. Rontu, and J. Mašek, 2016: Effects of aerosols on clear-sky solar radiation in the ALADIN-HIRLAM NWP system. Atmos. Chem. Phys., 16, 5933-5948, doi:10.5194/acp-16-5933-2016. CrossRef
39. Grant, A., 2001: Cloud-base fluxes in the cumulus-capped boundary layer. Quart. J. Roy. Meteor. Soc., 127, 407-422, doi:10.1002/qj.49712757209. CrossRef
40. Hess, M., P. Köpke, and I. Schult, 1998: Optical properties of aerosols and clouds: The software package OPAC. Bull. Amer. Meteor. Soc., 79, 831-844, doi:10.1175/1520-0477(1998)079<0831:OPOAAC>2.0.CO;2. Link
41. Honnert, R., V. Masson, and F. Couvreux, 2011: A new diagnostic for evaluating the representation of turbulence in atmospheric models at the kilometric scale. J. Atmos. Sci., 68, 3112-3131, doi:10.1175/JAS-D-11-061.1. Link
42. Hortal, M., 2002: The development and testing of a new two-time-level semi-Lagrangian scheme (SETTLS) in the ECMWF forecast model. Quart. J. Roy. Meteor. Soc., 128, 1671-1687, doi:10.1002/qj.200212858314. CrossRef
43. Illingworth, A. J., and Coauthors, 2007: Cloudnet-Continuous evaluation of cloud profiles in seven operational models using ground-based observations. Bull. Amer. Meteor. Soc., 88, 883-898, doi:10.1175/BAMS-88-6-883. Link
44. Inness, A., and Coauthors, 2013: The MACC reanalysis: An 8 yr data set of atmospheric composition. Atmos. Chem. Phys., 13, 4073-4109, doi:10.5194/acp-13-4073-2013. CrossRef
45. Jonker, H., R. Verzijlbergh, T. Heus, and A. Siebesma, 2006: The influence of the sub-cloud moisture field on cloud size distributions and the consequences for entrainment. 17th Symp. on Boundary Layers and Turbulence, San Diego, CA, Amer. Meteor. Soc., 2.4. [Available online at https://ams.confex.com/ams/BLTAgFBioA/techprogram/paper_111021.htm.]
46. Joseph, J. H., W. J. Wiscombe, and J. A. Weinman, 1976: The delta-Eddington approximation for radiative flux transfer. J. Atmos. Sci., 33, 2452-2459, doi:10.1175/1520-0469(1976)033<2452:TDEAFR>2.0.CO;2. Link
47. Kain, J. S., 2004: The Kain-Fritsch convective parameterization: An update. J. Appl. Meteor., 43, 170-180, doi:10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2. Link
48. Kain, J. S., and J. M. Fritsch, 1990: A one-dimensional entraining/detraining plume model and its applications in convective parametrization. J. Atmos. Sci., 47, 2784-2801, doi:10.1175/1520-0469(1990)047<2784:AODEPM>2.0.CO;2. Link
49. Kessler, E., 1969: On the Distribution and Continuity of Water Substance in Atmospheric Circulation. Meteor. Monogr., No. 32, Amer. Meteor. Soc., 84 pp.
50. Khairoutdinov, M., and Y. Kogan, 2000: A new cloud physics parameterization in a large-eddy simulation model of marine stratocumulus. Mon. Wea. Rev., 128, 229-243, doi:10.1175/1520-0493(2000)128<0229:ANCPPI>2.0.CO;2. Link
51. Kourzeneva, E., E. Martin, Y. Batrak, and P. Le Moigne, 2012: Climate data for parameterisation of lakes in Numerical Weather Prediction models. Tellus, 64A, 17226, doi:10.3402/tellusa.v64i0.17226. CrossRef
52. Lamer, K., P. Kollias, and L. Nuijens, 2015: Observations of the variability of shallow trade wind cumulus cloudiness and mass flux. J. Geophys. Res. Atmos., 120, 6161-6178, doi:10.1002/2014JD022950. CrossRef
53. Laprise, R., 1992: The Euler equations of motion with hydrostatic pressure as an independent variable. Mon. Wea. Rev., 120, 197-207, doi:10.1175/1520-0493(1992)120<0197:TEEOMW>2.0.CO;2. Link
54. Lascaux, F., E. Richard, and J.-P. Pinty, 2006: Numerical simulations of three different MAP IOPs and the associated microphysical processes. Quart. J. Roy. Meteor. Soc., 132, 1907-1926, doi:10.1256/qj.05.197. CrossRef
55. Lenderink, G., and E. van Meijgaard, 2001: Impacts of cloud and turbulence schemes on integrated water vapor: Comparison between model predictions and GPS measurements. Meteor. Atmos. Phys., 77, 131-144, doi:10.1007/s007030170022. CrossRef
56. Lenderink, G., and A. A. Holtslag, 2004: An updated length-scale formulation for turbulent mixing in clear and cloudy boundary layers. Quart. J. Roy. Meteor. Soc., 130, 3405-3427, doi:10.1256/qj.03.117. CrossRef
57. Lenderink, G., and Coauthors, 2004: The diurnal cycle of shallow cumulus clouds over land: A single-column model intercomparison study. Quart. J. Roy. Meteor. Soc., 130, 3339-3364, doi:10.1256/qj.03.122. CrossRef
58. Licer, M., and Coauthors, 2016: Modeling the ocean and atmosphere during an extreme bora event in northern Adriatic using one-way and two-way atmosphere-ocean coupling. Ocean Sci., 12, 71-86, doi:10.5194/os-12-71-2016. CrossRef
59. Lind, P., D. Lindstedt, E. Kjellström, and C. Jones, 2016: Spatial and temporal characteristics of summer precipitation over central Europe in a suite of high-resolution climate models. J. Climate, 29, 3501-3518, doi:10.1175/JCLI-D-15-0463.1. Link
60. Lock, S.-J., N. Wood, and H. Weller, 2014: Numerical analyses of Runge-Kutta implicit-explicit schemes for horizontally explicit, vertically implicit solutions of atmospheric models. Quart. J. Roy. Meteor. Soc., 140, 1654-1669, doi:10.1002/qj.2246. CrossRef
61. Madec, G., and Coauthors, 2015: NEMO ocean engine. Note du Pôle de Modélisation de l'Institut Pierre-Simon Laplace 27, 391 pp. [Available online at http://epic.awi.de/39698/1/NEMO_book_v6039.pdf.]
62. Malardel, S., and D. Ricard, 2015: An alternative cell-averaged departure point reconstruction for pointwise semi-Lagrangian transport schemes. Quart. J. Roy. Meteor. Soc., 141, 2114-2126, doi:10.1002/qj.2509. CrossRef
63. Malcorps, H., and M. Ågren, 2005: HIRLAM-ALADIN agreement. HIRLAM, 8 pp. [Available online at http://www.hirlam.org/index.php/component/docman/doc_view/24-aladin-hirlam-a-cooperation-agreement?Itemid=70.]
64. Martin, G. M., D. W. Johnson, and A. Spice, 1994: The measurement and parameterization of effective radius of droplets in warm stratocumulus clouds. J. Atmos. Sci., 51, 1823-1842, doi:10.1175/1520-0469(1994)051<1823:TMAPOE>2.0.CO;2. Link
65. Mascart, P. J., and P. Bougeault, 2011: The Meso-NH atmospheric simulation system: Scientific documentation. Part III: Physics. Météo-France Tech. Rep., 153 pp. [Available online at http://mesonh.aero.obs-mip.fr/mesonh/dir_doc/book1_m48_19jan2009/scidoc_p3.pdf.]
66. Masek, J., J.-F. Geleyn, R. Brozková, O. Giot, H. O. Achom, and P. Kuma, 2016: Single interval shortwave radiation scheme with parameterized optical saturation and spectral overlaps. Quart. J. Roy. Meteor. Soc., 142, 304-326, doi:10.1002/qj.2653. CrossRef
67. Masson, V., 2000: A physically-based scheme for the urban energy budget in atmospheric models. Bound.-Layer Meteor., 94, 357-397, doi:10.1023/A:1002463829265. CrossRef
68. Masson, V., and Y. Seity, 2009: Including atmospheric layers in vegetation and urban offline surface schemes. J. Appl. Meteor. Climatol., 48, 1377-1397, doi:10.1175/2009JAMC1866.1. Link
69. Masson, V., and Coauthors, 2013: The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes. Geosci. Model Dev., 6, 929-960, doi:10.5194/gmd-6-929-2013. CrossRef
70. Mironov, D., E. Heise, E. Kourzeneva, B. Ritter, N. Schneider, and A. Terzhevik, 2010: Implementation of the lake parameterisation scheme FLake into the numerical weather prediction model COSMO. Boreal Environ. Res., 15, 218-230.
71. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough, 1997: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J. Geophys. Res., 102, 16 663-16 682, doi:10.1029/97JD00237. CrossRef
72. Müller, M., and Coauthors, 2017: AROME-MetCoOp: A Nordic convective-scale operational weather prediction model. Wea. Forecasting, 32, 609-627, doi:10.1175/WAF-D-16-0099.1. Link
73. Nachtergaele, F., H. van Velthuizen, L. Verelst, and D. Wiberg, 2012: Harmonized World Soil Database, version 1.2. Accessed 23 August 2016. [Available online at http://www.iiasa.ac.at/Research/LUC/External-World-soil-database/HTML/.]
74. Neggers, R. A., M. Köhler, and A. C. Beljaars, 2009: A dual mass flux framework for boundary layer convection. Part I: Transport. J. Atmos. Sci., 66, 1465-1487, doi:10.1175/2008JAS2635.1. Link
75. Nielsen, K. P., E. Gleeson, and L. Rontu, 2014: Radiation sensitivity tests of the HARMONIE 37h1 NWP model. Geosci. Model Dev., 7, 1433-1449, doi:10.5194/gmd-7-1433-2014. CrossRef
76. Pergaud, J., V. Masson, S. Malardel, and F. Couvreux, 2009: A parameterization of dry thermals and shallow cumuli for mesoscale numerical weather prediction. Bound.-Layer Meteor., 132, 83-106, doi:10.1007/s10546-009-9388-0. CrossRef
77. Pinty, J.-P., and P. Jabouille, 1998: A mixed-phase cloud parameterization for use in a mesoscale non-hydrostatic model: Simulations of a squall line and of orographic precipitation. Preprints, Conf. on Cloud Physics, Everett, WA, Amer. Meteor. Soc., 217-220.
78. Rainaud, R., 2015: Modélisation couplée océan-atmosphère pour létude des évènements météorologiques intenses en Méditerranée. Ph.D. thesis, University Paul Sabatier-Toulouse III, 208 pp.
79. Rio, C., and F. Hourdin, 2008: A thermal plume model for the convective boundary layer: Representation of cumulus clouds. J. Atmos. Sci., 65, 407-424, doi:10.1175/2007JAS2256.1. Link
80. Rontu, L., C. Wastl, and S. Niemelä, 2016: Influence of the details of topography on weather forecast-Evaluation of HARMONIE experiments in the Sochi Olympics domain over the Caucasian Mountains. Front. Earth Sci., 4, 13, doi:10.3389/feart.2016.00013. CrossRef
81. Savijärvi, H., 1990: Fast radiation parameterization schemes for mesoscale and short-range forecast models. J. Appl. Meteor., 29, 437-447, doi:10.1175/1520-0450(1990)029<0437:FRPSFM>2.0.CO;2. Link
82. Seity, Y., P. Brousseu, S. Malardel, G. Hello, P. Benard, F. Bouttier, C. Lac, and V. Masson, 2011: The AROME-France convective-scale operational model. Mon. Wea. Rev., 139, 976-991, doi:10.1175/2010MWR3425.1. Link
83. Senkova, A., L. Rontu, and H. Savijärvi, 2007: Parametrization of orographic effects on surface radiation in HIRLAM. Tellus, 59A, 279-291, doi:10.1111/j.1600-0870.2007.00235.x. CrossRef
84. Siebesma, A. P., and J. Teixeira, 2000: An advection-diffusion scheme for the convective boundary layer: Description and 1D-results. 14th Symp. on Boundary Layers and Turbulence, Aspen, CO, Amer. Meteor. Soc., 4.16. [Available online at https://ams.confex.com/ams/AugAspen/techprogram/paper_14840.htm.]
85. Siebesma, A. P., and Coauthors, 2003: A large eddy simulation intercomparison study of shallow cumulus convection. J. Atmos. Sci., 60, 1201-1219, doi:10.1175/1520-0469(2003)60<1201:ALESIS>2.0.CO;2. Link
86. Siebesma, A. P., P. M. Soares, and J. Teixeira, 2007: A combined eddy-diffusivity mass-flux approach for the convective boundary layer. J. Atmos. Sci., 64, 1230-1248, doi:10.1175/JAS3888.1. Link
87. Simmons, A., and D. M. Burridge, 1981: An energy and angular-momentum conserving vertical finite-difference scheme and hybrid vertical coordinates. Mon. Wea. Rev., 109, 758-766, doi:10.1175/1520-0493(1981)109<0758:AEAAMC>2.0.CO;2. Link
88. Simpson, J., and V. Wiggert, 1969: Models of precipitating cumulus towers. Mon. Wea. Rev., 97, 471-489, doi:10.1175/1520-0493(1969)097<0471:MOPCT>2.3.CO;2. Link
89. Smith, E. A., and L. Shi, 1992: Surface forcing of the infrared cooling profile over the Tibetan Plateau. Part I: Influence of relative longwave radiative heating at high altitude. J. Atmos. Sci., 49, 805-822, doi:10.1175/1520-0469(1992)049<0805:SFOTIC>2.0.CO;2. Link
90. Soares, P., P. Miranda, A. Siebesma, and J. Teixeira, 2004: An eddy-diffusivity/mass-flux parametrization for dry and shallow cumulus convection. Quart. J. Roy. Meteor. Soc., 130, 3365-3383, doi:10.1256/qj.03.223. CrossRef
91. Stamnes, K., S.-C. Tsay, W. Wiscombe, and K. Jayaweera, 1988: Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media. Appl. Opt., 27, 2502-2509, doi:10.1364/AO.27.002502. CrossRef
92. Stamnes, K., S.-C. Tsay, and I. Laszlo, 2000: DISORT: A general-purpose Fortran program for discrete-ordinate-method radiative transfer in scattering and emitting layered media: Documentation and methodology. Tech. Rep., Stevens Insitute of Technology, Hoboken, NJ.
93. Subias, A., 2015: B-splines as a tool to solve constraints in non-hydrostatic forecast model. arXiv.org, 14 pp. [Available online at https://arxiv.org/abs/1601.03446.]
94. Süld, J. K., A. Rasheed, J. Kristiansen, Ø. Sætra, A. Carrasco, and T. Kvamsdal, 2015: Mesoscale numerical modelling of met-ocean interactions. Energy Procedia, 80, 433-441, doi:10.1016/j.egypro.2015.11.447. CrossRef
95. Sun, Z., 2001: Reply to comments by Greg M. McFarquhar on 'Parametrization of effective sizes of cirrus-cloud particles and its verification against observations.' Quart. J. Roy. Meteor. Soc., 127, 267-271, doi:10.1002/qj.49712757116. CrossRef
96. Sun, Z., and L. Rikus, 1999: Parametrization of effective sizes of cirrus-cloud particles and its verification against observations. Quart. J. Roy. Meteor. Soc., 125, 3037-3055, doi:10.1002/qj.49712556012. CrossRef
97. Tanré, D., J.-F. Geleyn, and J. Slingo, 1984: First results of the introduction of an advanced aerosol-radiation interaction in the ECMWF low resolution global model. Aerosols and Their Climatic Effects, H. E. Gerber and A. Deepak, Eds., A. Deepak Publishing, 133-177.
98. Tegen, I., P. Hollrig, M. Chin, I. Fung, D. Jacob, and J. Penner, 1997: Contribution of different aerosol species to the global aerosol extinction optical thickness: Estimates from model results. J. Geophys. Res., 102, 23 895-23 915, doi:10.1029/97JD01864. CrossRef
99. Toll, V., E. Gleeson, K. Nielsen, A. Mnnik, J. Masek, L. Rontu, and P. Post, 2016: Importance of the direct radiative effect of aerosols in numerical weather prediction for the European region. Atmos. Res., 172-173, 163-173, doi:10.1016/j.atmosres.2016.01.003. CrossRef
100. Unden, P., 2002: HIRLAM-5 scientific documentation. HIRLAM-5 Project Rep. SMHI, 143 pp. [Available online at http://www.hirlam.org/.]
101. Untch, A., and M. Hortal, 2004: A finite-element scheme for the vertical discretization of the semi-Lagrangian version of the ECMWF forecast model. Quart. J. Roy. Meteor. Soc., 130, 1505-1530, doi:10.1256/qj.03.173. CrossRef
102. Valcke, S., 2013: The OASIS3 coupler: A European climate modelling community software. Geosci. Model Dev., 6, 373-388, doi:10.5194/gmd-6-373-2013. CrossRef
103. van Meijgaard, E., L. van Ulft, G. Lenderink, S. De Roode, E. L. Wipfler, R. Boers, and R. van Timmermans, 2012: Refinement and application of a regional atmospheric model for climate scenario calculations of Western Europe. KVR Research Rep. 054/12, 44 pp. [Available online at http://library.wur.nl/WebQuery/wurpubs/fulltext/312258.]
104. Vána, F., P. Bénard, J. F. Geleyn, A. Simon, and Y. Seity, 2008: Semi-Lagrangian advection scheme with controlled damping: An alternative to nonlinear horizontal diffusion in a numerical weather prediction model. Quart. J. Roy. Meteor. Soc., 134, 523-537, doi:10.1002/qj.220. CrossRef
105. Vié, B., J.-P. Pinty, S. Berthet, and M. Leriche, 2016: LIMA (v1. 0): A quasi two-moment microphysical scheme driven by a multimodal population of cloud condensation and ice freezing nuclei. Geosci. Model Dev., 9, 567-586, doi:10.5194/gmd-9-567-2016. CrossRef
106. Vivoda, J., and P. Smolíková, 2013: Finite elements used in the vertical discretization of the fully compressible forecast model ALADIN-NH. ALADIN-HIRLAM Newsletter, No. 1, Météo-France, Centre National de Recerches Meteorologiques, Toulouse, France, 31-46. [Available online at http://www.umr-cnrm.fr/aladin/IMG/pdf/aladin_hirlam_newsletter_1_september2013.pdf.]
107. Wyser, K., L. Rontu, and H. Savijärvi, 1999: Introducing the effective radius into a fast radiation scheme of a mesoscale model. Contrib. Atmos. Phys., 72, 205-218.