Skip to main content

Advertisement

Log in

Combined influence of atmospheric physics and soil hydrology on the simulated meteorology at the SIRTA atmospheric observatory

  • Published:
Climate Dynamics Aims and scope Submit manuscript

Abstract

The identification of the land-atmosphere interactions as one of the key source of uncertainty in climate models calls for process-level assessment of the coupled atmosphere/land continental surface system in numerical climate models. To this end, we propose a novel approach and apply it to evaluate the standard and new parametrizations of boundary layer/convection/clouds in the Earth System Model (ESM) of Institut Pierre Simon Laplace (IPSL), which differentiate the IPSL-CM5A and IPSL-CM5B climate change simulations produced for the Coupled Model Inter-comparison Project phase 5 exercise. Two different land surface hydrology parametrizations are also considered to analyze different land-atmosphere interactions. Ten-year simulations of the coupled land surface/atmospheric ESM modules are confronted to observations collected at the SIRTA (Site Instrumental de Recherche par Télédection Atmosphérique), located near Paris (France). For sounder evaluation of the physical parametrizations, the grid of the model is stretched and refined in the vicinity of the SIRTA, and the large scale component of the modeled circulation is adjusted toward ERA-Interim reanalysis outside of the zoomed area. This allows us to detect situations where the parametrizations do not perform satisfactorily and can affect climate simulations at the regional/continental scale, including in full 3D coupled runs. In particular, we show how the biases in near surface state variables simulated by the ESM are explained by (1) the sensible/latent heat partitionning at the surface, (2) the low level cloudiness and its radiative impact at the surface, (3) the parametrization of turbulent transport in the surface layer, (4) the complex interplay between these processes. We also show how the new set of parametrizations can improve these biases.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Notes

  1. The drafts of the special issue papers can be found at http://icmc.ipsl.fr/research/international-projects/cmip5/special-issue-cmip5.

  2. http://climserv.ipsl.polytechnique.fr/cfmip-obs.html.

References

  • Adler RF, Huffman G, Chang A, Ferraro R, Xie P, Janowiak J, Rudolf B, Schneider U, Curtis S, Bolvin D, Gruber A, Susskind J, Arkin P (2003) The version 2 global precipitation climatology project (gpcp) monthly precipitation analysis (1979-present). J Hydrometeor 4:1147–1167

    Article  Google Scholar 

  • Bechtold P, Krueger S, Lewellen W, van Meijgaard E, Moeng C, Randall D, van Ulden A, Wang S (1996) Modeling a stratocumulus-topped pbl: intercomparison among different one-dimensional codes and with large eddy simulation. Bull Am Meteorol Soc 77(9):2033–2042

    Google Scholar 

  • Betts A (2007) Coupling of water vapor convergence, clouds, precipitation, and land-surface processes. J Geophys Res 112(D10108). doi:10.1029/2006JD008191

  • Bony S, Emanuel KA (2001) A parameterization of the cloudiness associated with cumulus convection; evaluation using toga coare data. J Atmos Sci 58:3158–3318

    Article  Google Scholar 

  • Bosveld F, Bouten W (2001) Evaluation of transpiration models with observations over a douglas fir forest. Agric Forest Met 108:247 –264

    Article  Google Scholar 

  • Brooks ME, Hogan RJ, Illingworth AJ (2005) Parameterizing the difference in cloud fraction defined by area and by volume as observed with radar and lidar. Atmos Sci 62:2248–2260

    Article  Google Scholar 

  • Brubaker K, Dirmeyer P, Sudradjat A, Levy B, Bernal F (2001) A 36-yr climatological description of the evaporative sources of warm-season precipitation in the mississippi river basin. J Hydrometeorol 2(6):537–557

    Article  Google Scholar 

  • Carsel R, Parrish R (1988) Developing joint probability distributions of soil water retention characteristics. Water Resour Res 24(5):755–769

    Article  Google Scholar 

  • Chéruy F, Aires F (2009) Cluster analysis of cloud properties over the southern european mediterranean area in observations and a model. Mon Wea Rev 137:3161–3176

    Article  Google Scholar 

  • Choisnel EM, Jourdain SV, Jacquart CJ (1995) Climatological evaluation of some fluxes of the surface energy and soil water balances over France. Ann Geophys 13:666–674

    Article  Google Scholar 

  • Coindreau O, Hourdin F, Haeffelin M, Mathieu A, Rio C (2007) Assessment of physical parameterizations using a global climate model with stretchable grid and nudging. Mon Wea Rev 135(4):1474–1489

    Article  Google Scholar 

  • Couvreux F, Hourdin F, Rio C (2010) Resolved versus parametrized boundary-layer plumes. part i: a parametrization-oriented conditional sampling in large-eddy simulations. Boundary Layer Meteorol 134:441–458

    Article  Google Scholar 

  • De Rosnay P, Polcher J, Bruen M, Laval K (2002) Impact of a physically based soil water flow and soil-plant interaction representation for modeling large-scale land surface processes. J Geophys Res 107(D11):4118

    Article  Google Scholar 

  • Deardorff JW (1970) Convective velocity and temperature scales for the unstable planetary boundary layer and for Rayleigh convection. J Atmos Sci 27:1211–1213

    Article  Google Scholar 

  • Dirmeyer P (1995) Problems in initializing soil wetness. Bull Am Meteor Soc 76:2234–2240

    Google Scholar 

  • Dirmeyer P, Schlosser C, Brubaker K (2009) Precipitation, recycling, and land memory: an integrated analysis. J Hydrometeorol 10(1):278–288

    Article  Google Scholar 

  • d’Orgeval T, Polcher J, de Rosnay P (2008) Sensitivity of the West African hydrological cycle in ORCHIDEE to infiltration processes. Hydrol Earth Syst Sci 12:1387–1401

    Article  Google Scholar 

  • Douville H (2010) Relative contribution of soil moisture and snow mass to seasonal climate predictability: a pilot study. Clim Dyn 34:797–818

    Article  Google Scholar 

  • Ducharne A, Laval K (2000) Influence of the realistic description of soil water-holding capacity on the global water cycle in a GCM. J Clim 13:4393–4413

    Article  Google Scholar 

  • Ducoudré N, Laval K, Perrier A (1993) SECHIBA, a new set of parametrizations of the hydrologic exchanges at the land/atmosphere interface within the LMD atmospheric general circulation model. J Clim 6(2):248–273

    Article  Google Scholar 

  • Dufresne J-L, Foujols M-A, Denvil S, Caubel A, Marti O, Aumont O, Balkanski Y, Bekki S, Bellenger H, Benshila R, Bony S, Bopp L, Braconnot P, Brockmann P, Cadule P, Cheruy F, Codron F, Cozic A, Cugnet D, de Noblet N, Duvel J-P, Ethé C, Fairhead L, Fichefet T, Flavoni S, Friedlingstein P, Grandpeix J-Y, Guez L, Guilyardi E, Hauglustaine D, Hourdin F, Idelkadi A, Ghattas J, Joussaume S, Kageyama M, Krinner G, Labetoulle S, Lahellec A, Lefebvre M-P, Lefevre F, Levy C, Li ZX, Lloyd J, Lott F, Madec G, Mancip M, Marchand M, Masson S, Meurdesoif Y, Mignot J, Musat I, Parouty S, Polcher J, Rio C, Schulz M, Swingedouw D, Szopa S, Talandier C, Terray P, Viovy N (2012) Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5 (submitted)

  • Emanuel K (1991) A scheme for representing cumulus convection in large-scale models. J Atmos Sci 48:2313–2329

    Article  Google Scholar 

  • Foken T (2008) The energy balance closure problem: an overview. Ecol Appl 18:1351–1367

    Article  Google Scholar 

  • Goff JA, Gratch S (1946) Low-pressure properties of water from-160 to 212 f. Trans Am Soc Heat Vent Eng 51:125–164

    Google Scholar 

  • Grandpeix J, Lafore J (2010) A density current parameterization coupled with Emanuel’s convection scheme. Part I: the models. J Atmos Sci 67:881–897. doi:10.1175/2009JAS3044.1

    Article  Google Scholar 

  • Grandpeix J, Lafore J, Cheruy F (2010) A density current parameterization coupled with Emanuel’s convection scheme. Part II: 1D simulations. J Atmos Sci 67:898–922. doi:10.1175/2009JAS3045.1

    Article  Google Scholar 

  • Haeffelin M, Barthè s L, Bock O, Boitel C, Bony S, Bouniol D, Chepfer H, Chiriaco M, Cuesta J, Delanoë J, Drobinski P, Dufresne JL, Flamant C, Grall M, Hodzic A, Hourdin F, Lapouge F, Lemaître Y, Mathieu A, Morille Y, Naud C, Noël V, O’Hirok W, Pelon J, Pietras C, Protat A, Romand B, Scialom G, Vautard R (2005) SIRTA, a ground-based atmospheric observatory for cloud and aerosol research. Ann Geophys 23:253–275

    Article  Google Scholar 

  • Hourdin F, Musat I, Bony S, Braconnot P, Codron F, Dufresne JL, Fairhead L, Filiberti MA, Friedlingstein P, Grandpeix JY, Krinner G, Levan P, Li ZX, Lott F (2006) The LMDZ4 general circulation model: climate performance and sensitivity to parametrized physics with emphasis on tropical convection. Clim Dyn 27:787–813. doi:10.1007/s00382-006-0158-0

    Article  Google Scholar 

  • Hourdin F, Foujols M-A, Codron F, Guemas V, Dufresne J-L, Bony S, Denvil S, Guez L, Lott F, Ghattas J, Braconnot P, Marti O, Meurdesoif Y, Bopp L (2012a) Impact of the LMDZ atmospheric grid configuration on the climate and sensitivity of the IPSL-CM5A coupled model. Clim Dyn. doi:10.1007/s00382-012-1411-3

  • Hourdin F, Grandpeix J-Y, Rio C, Bony S, Jam A, Cheruy F, Rochetin N, Fairhead L, Idelkadi A, Musat I, Dufresne J-L, Lahellec A, Lefebvre M-P, Roehrig R (2012b) LMDZ5B: the atmospheric component of the IPSL climate model with revisited parameterizations for clouds and convection. Clim Dyn. doi:10.1007/s00382-012-1343-y

  • Jam A, Hourdin F, Rio C, Couvreux F (2012) Resolved versus parametrized boundary-layer plumes. part iii: a diagnostic boundary-layer cloud parameterization derived from large eddy simulations (submitted to BLM)

  • Jeuken A, Siegmund P, Heijboer L, Feichter J, Bengtsson L (1996) On the potential of assimilating meteorological analyses in a global climate model for the purpose of model validation. J Geophys Res 101:16939–16950

    Article  Google Scholar 

  • Jones PD, New M, Parker DE, Martin S, Rigor IG (1999) Surface air temperature and its changes over the past 150 years. Rev Geophys 37(2):173–199

    Article  Google Scholar 

  • Koster R, Dirmeyer P, Guo Z, Bonan G, Chan E, Cox P, Gordon C, Kanae S, Kowalczyk E, Lawrence D et al (2004) Regions of strong coupling between soil moisture and precipitation. Science 305(5687):1138

    Article  Google Scholar 

  • Koster R, Suarez M, Liu P, Jambor U, Berg A, Kistler M, Reichle R, Rodell M, Famiglietti J (2004) Realistic initialization of land surface states: impacts on subseasonal forecast skill. J Hydrometeor 5:1049–1063

    Article  Google Scholar 

  • Koster RD, Milly PCD (1997) The interplay between transpiration and runoff formulations in land schemes used with atmospheric models. J Clim 10:1578–1591

    Article  Google Scholar 

  • Krinner G, Viovy N, de Noblet-Ducoudré N, Ogée J, Polcher J, Friedlingstein P, Ciais P, Sitch S, Prentice IC (2005) A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system. Global Biogeochem Cycles 19(1):GB1015. doi:10.1029/2003GB002199

  • Laval K, Sadourny R, Serafini Y (1981) Land surface processes in a simplified general circulation model. Geophys Astrophys Fluid Dyn 17:129–150

    Article  Google Scholar 

  • Long C, Ackerman T (2000) Identification of clear skies from broadband pyranometer measurements and calculation of downwelling shortwave cloud effects. J Geophys Res 105(D12):15,609–15,615

    Article  Google Scholar 

  • Long C, Turner D (2008) A method for continuous estimation of clear-sky downwelling longwave radiative flux developed using arm surface measurements. J Geophys Res 113:D18206

    Article  Google Scholar 

  • Long CN, Ackerman T, Gaustad K, Cole JNS (2006) Estimation of fractional sky cover from broadband shortwave radiometer measurements. J Geophys Res 111:D11204

    Google Scholar 

  • Louis JF (1979) A parametric model of vertical eddy fluxes in the atmosphere. Boundary Layer Meteorol 17:187–202

    Article  Google Scholar 

  • Manabe S (1969) Climate and the ocean circulation i. The atmospheric circulation and the hydrology of the earth’s surface. Mon Wea Rev 97(11):739–774

    Article  Google Scholar 

  • Morille Y, Haeffelin M, Drobinski P, Pelon J (2007) Strat:an automated algorithm to retrieve the vertical structure of the atmosphere from single-channel lidar data. J Atmos Ocean Technol 24(5):761–775

    Article  Google Scholar 

  • Mualem Y (1976) A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resour Res 12(3):513–522

    Article  Google Scholar 

  • Neggers RAJ, Heus T, Siebesma AP (2011a) Overlap statistics of cumuliform boundary-layer clouds in large-eddy simulations. J Geophys Res 116:D21202. doi:10.1029/2011JD015650

  • Neggers RAJ, Siebesma AP, Heus T (2011b) Continuous single-column model evaluation at a permanent meteorological supersite. BAMS Submitted

  • Olson D, Dinerstein E, Wikramanayake E, Burgess N, Powell G, Underwood E, D’amico J, Itoua I, Strand H, Morrison J et al (2001) Terrestrial ecoregions of the world: a new map of life on earth. BioScience 51(11):933–938

    Article  Google Scholar 

  • Philips TJ et al (2004) Evaluating parameterizations in general circulation models: climate simulation meets weather prediction. Bull Am Meteor Soc 85:1903–1915

    Google Scholar 

  • Randall D, Xu K, Somerville R, Lacobellis S (1996) Single-column models and cloud ensemble models as links between observations and climate models. J Clim 9(8):1683–1697

    Article  Google Scholar 

  • Reichler T, Kim J (2008) How well do coupled models simulate today’s climate. Bull Am Meteorol Soc 89(3):303–311

    Article  Google Scholar 

  • Reynolds C, Jackson T, Rawls W (2000) Estimating soil water-holding capacities by linking the food and agriculture organization soil map of the world with global pedon databases and continuous pedotransfer functions. Water Resour Res 36(12):3653–3662

    Article  Google Scholar 

  • Rio C, Hourdin F (2008) A thermal plume model for the convective boundary layer: representation of cumulus clouds. J Atmos Sci 65(2):407–425. doi:10.1175/2007JAS2256.1

    Article  Google Scholar 

  • Rio C, Hourdin F, Grandpeix JY, Lafore JP (2009) Shifting the diurnal cycle of parameterized deep convection over land. Geophys Res Lett 36:L07809. doi:10.1029/2008GL036779

  • Rio C, Hourdin F, Couvreux F, Jam A (2010) Resolved versus parametrized boundary-layer plumes. Part II: continuous formulations of mixing rates for mass-flux schemes. Boundary Layer Meteorol 135:469–483. doi:10.1007/s10546-010-9478-z

    Article  Google Scholar 

  • Rio C, Grandpeix J-Y, Hourdin F, Guichard F, Couvreux F, Lafore J-P, Fridlind A, Mrowiec A, Bony S, Rochetin N, Roehrig R, Idelkadi A, Lefebvre M-P, Musat I (2012) Control of deep convection by sub-cloud lifting processes: the ALP closure in the LMDZ5B general circulation model. Clim Dyn (submitted)

  • Schär C, Lüthi D, Beyerle U, Heise E (1999) The soil-precipitation feedback: a process study with a regional climate model. J Clim 12(3):722–741

    Article  Google Scholar 

  • Seneviratne D, SIand Lüthi, Litschi M, Schär C (2006) Land-atmosphere coupling and climate change in europe. Nature 443:205–209

    Article  Google Scholar 

  • Seneviratne SI, Corti T, Davin EL, Hirschi M, Jaeger EB, Lehner I, Orlowsky B, Teuling AJ (2010) Investigating soil moistureclimate interactions in a changing climate: a review. Earth Sci Rev 99(3–4):125–161. doi:10.1016/j.earscirev.2010.02.004

    Article  Google Scholar 

  • Thiessen A (1911) precipitation averages for large areas. Mon Wea Rev 39:1082–1084

    Google Scholar 

  • van Genuchten M (1980) A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44(5):892–898

    Article  Google Scholar 

  • Yamada T (1983) Simulations of nocturnal drainage flows by a q 2 l turbulence closure model. J Atmos Sci 40:91–106

    Article  Google Scholar 

Download references

Acknowledgments

The Météo-France station data collected in the vicinity of the SIRTA site have been made available to us thanks to the DEPHY/Insu/LEFE french project. The research leading to these results has received funding from the European Union, Seventh Framework Programme (FP7/2007–2013) under grant agreement n 244067, EUCLIPSE. Aurélien Campoy was supported by a grant from Région Ile-de-France. We extend our acknowledgments to the technical and computer staff (particularly to Ludmila Klenov) of SIRTA observatory for taking the observations and compile them in the SCTD data set. The authors acknowledge ECMWF for providing the data and the ClimServ team from the ESPRI/IPSL data center for their help in accessing and formating the data.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to F. Cheruy.

Additional information

This paper is a contribution to the special issue on the IPSL and CNRM global climate and Earth System Models, both developed in France and contributing to the 5th coupled model intercomparison project.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cheruy, F., Campoy, A., Dupont, JC. et al. Combined influence of atmospheric physics and soil hydrology on the simulated meteorology at the SIRTA atmospheric observatory. Clim Dyn 40, 2251–2269 (2013). https://doi.org/10.1007/s00382-012-1469-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00382-012-1469-y

Keywords

Navigation