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ICM/UTM - CSIC Hymex activities

ICM/UTM - CSIC Hymex activities. L’Estartit time series (1974-2010) Western Mediterranean Deep water formation E-P estimation in Ocean Models assimilation SMOS mission. L’Estartit time series. Trends of air and sea warming Seasonal shifts Trends on period where T air > T water

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ICM/UTM - CSIC Hymex activities

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  1. ICM/UTM - CSIC Hymex activities • L’Estartit time series (1974-2010) • Western Mediterranean Deep water formation • E-P estimation in Ocean Models assimilation • SMOS mission

  2. L’Estartit time series • Trends of air and sea warming • Seasonal shifts • Trends on period where Tair > Twater • Effect on evaporation/precipitation • New approach for latent heat exchange

  3. Warming trends

  4. Seasonal shifts days when T@20m>17°C 1st.day = -0,77·(year-1974)+176,3 last.day = 0,67·(year-1974)+297,8 360 320 Julian day 280 240 200 160 120 1974 1978 1982 1986 1990 1994 1998 2002 2006

  5. Trends on period of Tair > Twater

  6. WMDW formation • Evolution of WMDW • Western Mediterranean transient • Effects on the hydrological cycle • Control of Gibraltar inflow/outflow • How can we monitor inflow?

  7. Rhone G. of Genova Carcassonne G. of Lions P C M S Catalan coast Deep Water Formation (DWF) area

  8. Western Mediterranean Transient

  9. Temperature and near-bottom current speed at the point C From: Puig et al., 2009 Temperature, Salinity and density at the point M From: Fuda et al., 2009 q (°C) ~12.89 S ~ 38.49 sq (kg.m-3) > 29.12 2007 2008 Shifts in DWF

  10. Temperature 80 m 270 m 270 m 270 m Salinity 270 m 80 m Gibraltar input/output Input: zoom scale

  11. E-P estimates in ocean models The amplitude of the water cycle over the oceans is given by E-P. In numerical models, Evaporation is calculated with empirical formulae using a fixed set of parameters. Our work aims to identify which parameters, of these empirical formulae, have the largest impact of the E-P fluxes in an ocean model (NEMO-OPA). Our objective is to infer the appropriate value of these parameters using Data Assimilation techniques.

  12. Objective: Determining the turbulent coefficients that affect the E-P • balance of the model. • Standard deviation of E-P from a • reference simulation of the model: CE,orig • Difference between S+ and S-. S+ = simulation CE = 1.25 * CE,orig • S- = simulation CE = 0.75 * CE,orig Same order of magnitude

  13. SMOS • Soil Moisture and Ocean Salinity, an Earth Explorer Opportunity Mission from the European Space Agency • Pioneer technology for earth observation (microwave interferometric radiometer) • Spain leading role (science, technology, industry, processing, Valencia validation site) • Launched November 2, 2009. In operations phase since May 2010 I. Corbella, UPC: SMOS brightness temperature

  14. Sea Surface Salinity http://www.smos-bec.icm.csic.es Retrieved SSS along an orbit (SMOS L2OS Operational Processor) (M. Talone, SMOS-BEC, Barcelona) • Objective: Determining sea surface salinity with an accuracy of the order of 0.1 practical salinity units, 100 – 200 km spatial resolution and 10 – 30 days temporal resolution (N. Reul, IFREMER, Brest)

  15. Soil Moisture • Objective: Determining soil moisture with a 4% accuracy, plus vegetation water content, with a spatial resolution of 50 km and a revisiting time of at least 3 days • Spanish SMOS level 3 and 4 • Data Processing Centre • http://www.cp34-smos.icm.csic.es/ • CESBIO/CNES, Toulouse: preliminary • soil moisture m3 water / m3 soil

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