ICM/UTM - CSIC Hymex activities Joaquim Ballabrera Jordi Font Jordi Salat Marta Umbert.
ICM/UTM - CSIC Hymex activities
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Transcript of 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 Tair > Twater
• Effect on evaporation/precipitation
• New approach for latent heat exchange
Warming trendsAir Temperature anomaly
dT=0.0541·(year-1971)-0.807
-4
-2
0
2
4
1971
1974
1977
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
Sea Surface Temperature anomaly dT= 0.0356·(year-1974)-0.462
-3-2-10123
1974
1977
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
Sea Temperature anomaly @ 80 m dT= 0.0228·(year-1974)-0.305
-3-2-10123
1974
1977
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
Seasonal shifts
days when T@20m>17°C
1st.day = -0,77·(year-1974)+176,3 last.day = 0,67·(year-1974)+297,8
120160200240280320360
1974 1978 1982 1986 1990 1994 1998 2002 2006
Ju
lia
n d
ay
Trends on period of Tair > Twater
days when Tair>Tsup
1st.day = -1,43·(year-1974)+132,3 last.day = 0,64·(year-1974)+224,1
60
100
140
180
220
260
300
1974 1978 1982 1986 1990 1994 1998 2002 2006
Ju
lian
day
WMDW formation
• Evolution of WMDW
• Western Mediterranean transient
• Effects on the hydrological cycle
• Control of Gibraltar inflow/outflow
• How can we monitor inflow?
Deep Water Formation (DWF) area
Rhone
G. of Lions
Catalan coast
G. of GenovaCarcassonne
SM
PC
Western Mediterranean Transient
(°C)
S
(kg.m-3)
~12.89
~ 38.49
> 29.12
2007 2008
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
Shifts in DWF
Gibraltar input/output
Tem
per
atu
reSalin
ity
80 m
80 m
270 m
270 m
270 m
270 m
Input: zoom scale
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.
Objective: Determining the turbulent coefficients that affect the E-P balance of the model.
Standard deviation of E-P from areference 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
lat a E E a su aQ L C U q q
Same order of magnitude
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
Sea Surface Salinity
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
http://www.smos-bec.icm.csic.es
Retrieved SSS along an orbit(SMOS L2OS Operational Processor)
(N. Reul, IFREMER, Brest)
(M. Talone, SMOS-BEC, Barcelona)
Soil MoistureObjective: 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 4Data Processing Centrehttp://www.cp34-smos.icm.csic.es/
CESBIO/CNES, Toulouse: preliminary soil moisture m3 water / m3 soil