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THE EFFECT OF THE SURFACE CHARACTERISTICS ON THE DICE RESULTS SEEN BY THE MESONH MODEL M. A. Jiménez, P. Le Moigne and J. Cuxart. DICE workshop, 14-16 October 2013, Exeter (UK). DIurnal land/atmosphere Coupling Experiment (DICE) CASES – 99 experiment: 23-26 October 1999
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THE EFFECT OF THE SURFACE CHARACTERISTICS ON THE DICE RESULTS SEEN BY THE MESONH MODEL M. A. Jiménez, P. Le Moigne and J. Cuxart DICE workshop, 14-16 October 2013, Exeter (UK)
DIurnal land/atmosphere Coupling Experiment (DICE) CASES – 99 experiment: 23-26 October 1999 released May 2013, preliminary results October 2013 Photograph taken at the CASES-99 experiment (Southern Great Plains, USA)
Stage 1a Atmosphere- SCM Surface - prescribed H, LE, RN, LST Stage 1b Atmosphere - prescribed T,wind,q at 55m T,wind,q at 10m Surface - SURFEX ISBA (3 layers) Stage 2 Stage 3 Atmosphere- SCM Surface - SURFEX As Stages 1a and 1b but prescribing 12 different forcings (SCM and SURFEX) SCM + SURFEX (coupling)
INITIAL CONDITIONS WIND LSM - INITIAL CONDITIONS (evolution of T, q and wind during the simulated period) T Q SCM - INITIAL PROFILES (sounding at 12 LT, 1900 UTC) wind speed (m/s) potential temperature (K) specific humidity (g/kg)
SCM: MesoNH model (Lafore et al., 1998) Turbulence (Cuxart et al., 2000), length scale (Bougeault and Lacarrere 1989) Radiation (ECMWF code called every time-step) Kessler microphysical scheme (vapor, cloud water and rain) Time step (300s for SCM and 20s for coupled runs) Vertical grid (Cuxart et al., 2007): 85 levels (3m resolution at lower levels, gradual stretching) LSM: SURFEX (Masson et al., 2013) ISBA 3 layers Land use: Ecoclimap at 1km resolution (Masson et al., 2003) 50% great plains crops and 50% rockies grassland total vegetation fraction over the pixel = 0.73 root depth = 1.5m and total depth = 2m leaf area index = 1.46 CLAY=0.24, SAND=0.38 from Harmonized World Soil Database (HWSD) at 1km resolution
SURFACE ENERGY BUDGET (W/m2) H LE INT INT TURB RAD Steeneveld et al 2006 RN G
TIME SERIES observations in green * the wind speed is well captured * differences in T of 4-5K during day/night but CPL match better to the observations * CPL run too humid → large LE T2m (K) M10m (m/s) Q2m (kg/kg)
SCM – STAGE 1B SCM + SURFACE – STAGE 2 LLJ well captured-> large-scale advection CPL run too humid
SCM – STAGE 1B SCM + SURFACE – STAGE 2 H smaller LE larger T colder (lower levels) H larger LE smaller T warmer (lower levels)
RN (W/m2) TESTING THE SURFACE SCHEME observations in red, equivalent to SCM SENSIBLE HEAT FLUX (W/m2) LATENT HEAT FLUX (W/m2) SCM = root depth SCM = bare soil
TESTING THE SCM model LE SCM results (1b) agree with SURFEX results (1a) SCM = bare soil RN H SCM = root depth
TESTING THE SCM model * no impact on the wind speed * impact on the T and q * q(bare ground) similar to obs. observations in blue 2m temperature (K) 10m wind speed (m/s) 2m specific humidity (kg/kg)
SENSITIVITY TESTS vertical resolution (SCM, Stage 1b only) default: 85 levels (3m at lower levels) test: 60 levels (10m at lower levels)
SENSITIVITY TESTS vertical resolution 60 levels 85 levels (DICE) potential temperature (K) wind speed (m/s) 1-2 K difference
Stage 3a results (SCM) 12 forcings as stage 1b RN H LE hight & low values hight & low values
Preliminary resultsStage 1b (near surface evolution) 20m 55m
SUMMARY 1) SCM vs CPL * CPL is giving larger LE and smaller H than SCM * CPL has more specific humidity than SCM 2) reducing the percentage of vegetation * Improve LE and H become closer to observations * As a test case, bare ground soil is taken but this is far from the reality... 3) reducing the root depths to a more realistic values * Improve H and LE is closer to observations * more realistic case, by default the root depth is too high 4) vertical grid mesh * importance to properly reproduce the surface layer characteristics
DICE site EASY CASE! surface and tower observations (model validation) clear-skies, flat, homogeneous, … SURFACE CHARACTERISTICS in the model covered by dry vegetation But still difficult for models … (introduce the concept of died vegetation)
ACKNOWLEDGEMENTS RESEARCH PROJECT CGL2012-37416-C04-01 JAE-DOC contract