Control of radiation and evaporation on temperature variability in a WRF regional climate simulation: comparison with colocated long term ground based observations near Paris
- 334 Downloads
The objective of this paper is to understand how large-scale processes, cloud cover and surface fluxes affect the temperature variability over the SIRTA site, near Paris, and in a regional climate simulation performed in the frame of HyMeX/Med-CORDEX programs. This site is located in a climatic transitional area where models usually show strong dispersions despite the significant influence of large scale on interannual variability due to its western location. At seasonal time scale, the temperature is mainly controlled by surface fluxes. In the model, the transition from radiation to soil moisture limited regime occurs earlier than in observations leading to an overestimate of summertime temperature. An overestimate of shortwave radiation (SW), consistent with a lack of low clouds, enhances the soil dryness. A simulation with a wet soil is used to better analyse the relationship between dry soil and clouds but while the wetter soil leads to colder temperature, the cloud cover during daytime is not increased due to the atmospheric stability. At shorter time scales, the control of surface radiation becomes higher. In the simulation, higher temperatures are associated with higher SW. A wet soil mitigates the effect of radiation due to modulation by evaporation. In observations, the variability of clouds and their effect on SW is stronger leading to a nearly constant mean SW when sorted by temperature quantile but a stronger impact of cloud cover on day-to-day temperature variability. Impact of cloud albedo effect on precipitation is also compared.
KeywordsHymex CORDEX Temperature variability SIRTA-ReOBS Surface and radiative fluxes Lidar simulator Cloud radiative effects Land surface–atmosphere interactions
This work is a contribution to the HyMeX program (HYdrological cycle in The Mediterranean EXperiment) through INSU-MISTRALS support and the MEDCORDEX program (COordinated Regional climate Downscaling EXperiment—Mediterranean region). This research has received funding from the French National Research Agency (ANR) project REMEMBER (grant ANR-12-SENV-001) and is a contribution to the EECLAT project through LEFE/INSU and TOSCA/CNES supports. It was supported by the IPSL group for regional climate and environmental studies, with granted access to the HPC resources of GENCI/IDRIS (under allocation i2011010227). The SIRTA-ReOBS effort also benefited from the support of the L-IPSL funded by ANR under the “Programme d’Investissements d’Avenir (Grant ANR-10-LABX-0018) and by the EUCLIPSE project funded by the European Commission under the Seventh Framework Program (Grant no 244067). We would like to acknowledge the SIRTA and Climserv teams at IPSL for collecting and providing data and computing ressources; Cindy Lebeaupin-Brossier and Marc Stefanon for providing simulation outputs; the CNES (Centre National d’Etudes Spatiales) for partially funded M. Chiriaco research.
- Alapaty K, Herwehe JA, Otte TL, Nolte CG, Bullock OR, Mallard MS, Kain JS, Dudhia J (2012) Introducing subgrid-scale cloud feedbacks to radiation for regional meteorological and climate modeling. Geophys Res Lett. doi: 10.1029/2012GL054031. ISSN: 0094-8276
- Betts AK (2009) Land surface atmosphere coupling in observations and models. J Adv Model Earth Syst. doi: 10.3894/JAMES.2009.1.4
- Chakroun M, Bastin S, Chiriaco M, Chepfer H (2016) Characterization of vertical cloud variability over Europe using spatial lidar observations and regional simulation. Clim Dyn. doi: 10.1007/s00382-016-3037-3
- Cheruy F, Campoy A, Dupont J-C, Ducharne A, Hourdin F, Haeffelin M, Chiriaco M, Idelkadi A (2013) Combined influence of atmospheric physics and soil hydrology on the simulated meteorology at the SIRTA atmospheric observatory. Clim Dyn 40:2251–2269. doi: 10.1007/s00382-012-1469-y CrossRefGoogle Scholar
- Chiriaco M, Vautard R, Chepfer H, Haeffelin M, Dudhia J, Wanherdrick Y, Morille Y, Protat A (2006) The ability of MM5 to simulate ice clouds: systematic comparison between simulated and measured fluxes and lidar/radar profiles at the SIRTA atmospheric observatory. Am Meteorol Soc 134:897–918Google Scholar
- Drobinski P, Ducrocq V, Alpert P, Anagnostou E, Béranger K, Borga M, Braud I, Chanzy A, Davolio S, Delrieu G, Estournel C, Filali Boubrahmi N, Font J, Grubišić V, Gualdi S, Homar V, Ivančan-Picek B, Kottmeier C, Kotroni V, Lagouvardos K, Lionello P, Llasat MC, Ludwig W, Lutoff C, Mariotti A, Richard E, Romero R, Rotunno R, Roussot O, Ruin I, Somot S, Taupier-Letage I, Tintore J, Uijlenhoet R, Wernli H (2014) HyMeX: A 10-year multidisciplinary program on the Mediterranean water cycle. Bull Am Meteorol Soc 95:1063–1082. doi: 10.1175/BAMS-D-12-00242.1 CrossRefGoogle Scholar
- Fischer EM, Rajczak J, Schär C (2012) Changes in European summer temperature variability revisited. Geophys Res Lett 39:L19702Google Scholar
- Gentine P, Holtslag AAM, D’Andrea F, Ek M (2013) Surface and atmospheric controls on the onset of moist convection over land. J Hydrometeorol. doi:10.1175/JHM-D-12-0137.1Google Scholar
- Giorgi F, Jones C, Asrar RG (2009) Addressing climate information needs at the regional level: the CORDEX framework. WMO Bull 58(3):183Google Scholar
- Haeffelin M, Barthes L, Bock O, Boitel C, Bony S, Bouniol D, Chepfer H, Chiriaco M, Cuesta J, Delanӧe J, Drobinski P, Dufresne J-L, Flamant C, Grall M, Hodzic A, Hourdin F, Lapouge F, Lemaitre Y, Mathieu A, Morille Y, Naud C, Nӧel V, OHirok B, Pelon J, Pietras C, Protat A, Romand B, Scialom G, Vautard R (2005) SIRTA, a ground-based atmospheric observatory for cloud and aerosol research. Annales Geophysicae 23:253–275CrossRefGoogle Scholar
- Hawkins E, Stutton R (2009) The potential to narrow uncertainty in regional climate predictions. Am Meteorol Soc 90:1095–1107Google Scholar
- Ionita M, Boroneant C, Chelcea S (2015) Seasonal modes of dryness and wetness variability over Europe and their connections with large-scale atmospheric circulation and global sea surface temperature. Clim Dyn. doi: 10.1007/s00382-015-2508-2
- Jousse A, Hall A, Sun F, Teixeira J (2015) Causes of WRF surface energy fluxes biases in a stratocumuls region. Clim Dyn. doi: 10.1007/s00382-015-2599-9
- Monin AS, Obukhov AM (1954) Basic laws of turbulent mixing in the surface layer of the atmosphere. Tr Akad Nauk SSSR Geophiz Inst 24(151):163–187Google Scholar
- Ruti P, Somot S, et al (2016) Med-CORDEX initiative for Mediterranean climate studies. Bul Amer Met Soc. doi: 10.1175/BAMS-D-14-00176.1
- Simmons AJ, Uppala SM, Dee DP, Kobayashi S (2007) ERA-Interim: New ECMWF reanalysis products from 1989 onwards. ECMWF Newsletter 110:25–35Google Scholar
- Vautard R, Moran MD, Solazzo E, Gilliam RC, Matthias V, Bianconi R, Chemel C, Ferreira J, Geyer B, Hansen AB, Jericevic A, Prank M, Segers A, Silver JD, Werhahn J, Wolke R, Rao ST, Galmarini S (2012) Evaluation of the meteorological forcing used for the air quality model evaluation international initiative (AQMEII) air quality simulations. Atmos Environ. doi: 10.1016/j.atmosenv.2011.10.065.
- Vautard R, Gobiet A, Jacob D, Belda M, Colette A, Déqué M, Fernández J, García-Díez M, Goergen K, Güttler I, Halenka T, Karakostas T, Katragkou E, Keuler K, Kotlarski S, Mayer S, van Meijgaard E, Nikulin G, Patarčić M, Scinocca J, Sobolowski S, Suklitsch M, Teichmann C, Warrach-Sagi K, Wulfmeyer V, Yiou P (2012b) The simulation of European heat waves from an ensemble of 1 regional climate models within the EURO-CORDEX project. Clim Dyn 41:2555–2575CrossRefGoogle Scholar