university of rome “tor vergata” xxv doctoral program a study of the tiber river dynamics and...
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UNIVERSITY of ROME “TOR VERGATA”XXV Doctoral Program
A study of the Tiber River dynamics and coastal primary production with satellite data,
circulation and primary production models
Institute of Atmospheric Sciences and Climate of the Italian National Research Council (ISAC-CNR).
Cinzia Pizzi
TIBER PLUME
Motivation
NASA MODIS - Sediment plume from the Tiber River, Italy (http://modis.gsfc.nasa.gov/)
The algal biomass activity is modified from rivers’ load:
POSITIVE EFFECT NEGATIVE EFFECT
TYRRHENIAN SEA
ROME
Rome
Motivation
POSITIVE EFFECT
NUTRIENTS INCREASE
ALGAL PRODUCTIVITY
SUPPORTS
MARINE FOOD WEB
Motivation
NEGATIVE EFFECT
POLLUTANTS(heavy metal, hydrocarb., etc.)
NUTRIENTS SURPLUS
HARMFUL ALGAL BLOOMS
DANGEROUS
• MARINE ECOSYSTEM• TOURISM• FISHING
(www.centroricerchemarine.it)
RED TIDE BLOOM
OBJECTIVES
Development of aCOASTAL MONITORING
TOOLfor the Tyrrhenian Sea
(Tiber river)
• TIBER PLUME DYNAMICS
• TIBER PLUME EFFECT
COASTAL & OFFSHORE AREAS MORE EXPOSED TO THE TIBER LOAD
MODULATION ON PRIMARY PRODUCTION
Rome
Analyzed periods
WINTER CASE STUDY
SUMMER CASE STUDY
DECEMBER 2008
NOVEMBER 2010
TypicalTiber River discharge
(860 m3/s)
Exceptional Tiber River discharge (1660 m3/s) since 1965
Typical Tiber River discharge
(210 m3/s) JULY 2010
Dataset 1) SATELLITE DATASET (MODIS/AQUA)
1. Surface Chlorophyll-a (chl - mg m-3)
2. Diffuse light attenuation coefficient at 490 nm (K490; m-1)
3. Turbid water flag (L2flag – CASE 1 or open sea water & CASE 2 or coastal water)
(December 2008, July and November 2010)
Dataset 2) MODEL DATASET (Dr. Inghilesi, ISPRA runs)
output
output
Lagrangian diffusion particles POM salinity/current fields
1) POM (Princeton Ocean Model) current, temperature, salinity fields
2) Lagrangian model (nested in POM) Trajectory/distribution of synthetic particles released at Tiber estuary
LAM (Limited Area Model) wind to force POM circulation
(December 2008, July and November 2010)
Dataset 3) Wind data
LAM WIND MODEL DATA(POM FORCING)
ASCAT WIND SATELLITE DATA(LAM WIND VALIDATION)
Wind Speed dataset
Interc. Slope MBE(m/s)
RMSE(m/s)
CorrC N. of pair
ASCAT-LAM 2.25 0.78 -0.59 2.48 0.77 41363
Results 1) LAM WIND VALIDATION WITH ASCAT
(December 2008, July and November 2010)
Dataset 4) Primary Production (PP) from VGPNN model (Vertically Generalized Production Neural Network; Scardi, 2001)
Data output:
Primary Production (PP - g C m2 day-1) for the Tyrrhenian Sea
Data input:
SATELLITE DATA (MYOCEAN products):
• Surface chlorophyll (chl - mg m-3)
• Sea Surface Temperature (SST – C°)
• Photosynthetically Available Radiation (PAR - E m-2 day-1)
MODEL DATA (Circulation POM)
• Mixed Layer Depth (MLD)
(December 2008, July and November 2010)
5 Dec.
5 Dec. 30 Dec.
Current & particle distribution (DECEMBER 2008)
Results 2) River plume dynamics
30 Dec.
Sea Surface Temperature (DECEMBER 2008)
19 Dec.
Wind & particle concentration (DECEMBER 2008)
90°
45°
Ekman
Ekm
an
wind
DECEMBER 2008
• Coastal - offshore interaction dynamics IMPORTANT
• Coastal circulation driven by offshore oceanographic features, NOT by wind
• Tiber plume moves northwestwards
25 Nov.5 Nov.
5 Nov. 25 Nov.
Sea Surface Temperature (NOVEMBER 2010)
Current & Particle distribution (NOVEMBER 2010)
Wind & particle concentration (NOVEMBER 2010)
90°
45°
Ekm
an E
kman
wind
Results 2) River plume dynamics
12 Nov.
NOVEMBER 2010
• Coastal - offshore dynamics is• partly coupled to Tyrrhenian Sea
cyclonic eddy (e.g. Nov 25)• partly wind driven (e.g. Nov 5)
• THEREFORE: Tiber plume moves both northwestwards & southeastwards
Current & particle distribution (JULY 2010)
14 Jul. 30 Jul.
Sea Surface Temperature (JULY 2010)
14 Jul. 30 Jul.
Wind & particle concentration (JULY 2010)
24 Jul.
Results 2) River plume dynamics
90°
45°
Ekman
Ekm
an
wind
JULY 2010
• The cold cyclonic gyre is absent
• Wind driven circulation
• Tiber plume moves northwestwards, southeastwards & offshore
• Plume is more mobile because the summer MLD is shallower i.e. plume is thinner.
20 Dec. 20 Dec.20 Dec.
Results 2) River plume dynamics
ModelTiber plume
CHL K490 (water transparency) Tw (coastal and offshore water)
SatelliteTiber plume
20 Dec.
Model/plume circulation well reproduces reality as seen from satellite data
Results 3) Plume effects on primary production
Comparison between Primary production and daily Tiber discharge
S. Marinella – Anzio
PP R T-st. P
Discharge
t- 7 0.72 2.02 0.07
t- 8 0.74 2.03 0.06
time lag=8 days
Results 3) Plume effects on primary production
Algal biomass seems to be favoured by
Tiber river discharge
Results 2) Plume effects on primary production
Particle concentration (Cp) model output
satellite chl (mg m-3)
P. Production PP (g C m-2 day-1)
December 2008
High PP at gyre edge:favored by submesoscale
dynamics (Lévy et al., 2001)
PP R T-st. P
Discharge
t- 3 0.67 2.340 0.04
t- 10 0.57 2.0 0.06
Results 3) Plume effects on primary production
1) Nutrients are not limiting in the control box
Hypotheses on observed summer PP variability
2) Nutrients are limiting in the control box:
NUTRIENTS SUPPLY FROM:
COASTAL UPWELLING
ZOOPLANKTON GRAZING
(TOP - DOWN CONTROL)
SUMMER AGRICULTURALFERTILIZING
Conclusions
WINTER: plume is heavily influenced by offshore structures (Tyrrhenian eddy) basin - wide dynamics important for coastal monitoring
SUMMER: plume is wind mesoscale driven (absence of organized offshore dynamic structures impact in the coast)
Model/plume circulation reasonably well reproduces reality as seen from satellite validation
PRIMARY PRODUCTION: seems more directly connected to winter peak Tiber discharge; summer correlation not likely (to be verified)
FUTURE WORK • Extension to multi-year satellite/model datasets
• Integration with in situ data (ISAC-CNR Tyrrhenian sea 2010- 2013 cruises)
THIS WORK: PROTOTYPE TOOL FOR COASTAL MONITORING
APPLICATIONS: WFD (Water Framework Directive) MFSD (Marine Framework Strategy Directive)
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Fong, D. A. and W. R. Geyer (2002). “The Alongshore Transport of Freshwater in a Surface-Trapped River Plume”. Journal of Physical Oceanography, 32: 957-972
Lévy, M., Klein, P. and A. M. Treguier (2001). "Impacts of sub-mesoscale physics on phytoplankton production and subduction“. Journal Marine Research, 59: 535-565
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