miur, via michele carcani, 61, roma the cnr ocean colour … · 2018. 3. 1. · presentazione...

RESEARCH AND INNOVATION INITIATIVE FOR BLUE JOBS AND GROWTH IN THE MEDITERRANEAN AREA (BLUEMED)

Fabio Fava

University of Bologna & IT Representative Horizon2020 SC2 committee ([email protected])

On behalf of the BLUEMED ad hoc working group

“BLUEMED INITIATIVE” A SOSTEGNO DELLA CRESCITA BLU NELLE REGIONI E NEL PAESE:

presentazione dell’Agenda strategica di ricerca ed innovazione

MIUR, via Michele Carcani, 61, ROMA

IOCCG-23 Meeting Rome, 6 8 March 2018

The CNR Ocean Colour Research

Rosalia Santoleri and the CNR collegues CNR-ISAC

2

OC Research @ CNR CNR OC Research involves: ISAC-GOS (Rome), ISMAR (Venice) and IREA (Milan)

The main aims are to contribute to European Operational Oceanography effort, to monitor the marine environment, to study the marine processes and coastal and inland water

Major Activities:

Development & implementation of the Satellite component of the European Copernicus Marine Environmental Monitoring Service

Development of OC new algorithms/products for European regional Seas and coastal and inland waters

Development of new products based on synergy of OC, SST, Altimeter, SSS, SAR and in situ data

Bio-optics and CAL/VAL

social drivers & operational service development marine environmental monitoring in support to marine policy coastal issues oil-spill pollution search and rescue Fishery

CNR role in CMEMS

CNR leads: Ocean Colour, SST, Dissemination Service CNR is partner in: Multi-OBS (SSS) & In Situ (HF radar)

CMEMS (April, 2018) • Regional multi-sensors L3 NRT for all CMEMS region

(except Baltic) • Regional multi-sensors & multi water type

chlorophyll L4 NRT products (ATL, ARC;MED,BS); • Redistribution of OC-CCI V3 Global REP products

(1997-2016) • Global REP consistent with Global NRT Multi-sensor • Regional REP products produced at 1 km resolution

using OC-CCI V3 processor; regional Chl algorithm consistent with NRT products (except Baltic)

• OLCI L3 & L4 NRT global products • OLCI L3 & L4 NRT regional products.

CMEMS (May, 2015) • Multi-sensor (MODIS-VIIRS) L3 for the global

ocean; • MODIS and VIIRS single sensors regional

products for the ARC, ATL, BAL, MED & BS • L4 Chlorophyll products for GLO, ATL, MED & BS • L3 European chlorophyll products • 2 target products, specific OC products for for

assimilation in Med Sea. • Redistribution of OC-CCI V1 global REP products

(1997-2012) • Regional REP produced using OC-CCI V1

reflectance at 4km resolution

OCTAC PRODUCT EVOLUTION (2015-2018) The OCTAC operates the European Ocean Colour component within the CMEMS.

Global and European regional products are higher level observational combined products

NRT VIIRS and MODIS merging for MED • Merging at common RRS wavelenghts • then CHL and Optics datasets are calculated

MULTI SENSOR DATASETS

MODIS-AQUA NPP-VIIRS Merged multi-sensor in situ measurements

NRT VIIRS and MODIS merging for MED • Merging at common RRS wavelenghts • then CHL and Optics datasets are calculated CMEMS regional NASA Standard

MULTI SENSOR DATASETS

MULTI SENSOR DATASETS: FROM L3 TO L4 MED

CNR updated the DINEOF technique developed by Beckers and Rixen (2003) to run in NRT.

Product Validation by matchup analysis

Volpe et al., New Frontiers in Operational Oceanography , 2018

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Lower availability of matching observations in winter

L3 daily Rrs comparison: OLCI (O) vs current operational multi-sensor products (X=A+V)

The median of the histogram density is represented by the back line.

A+V: R2014.0 O: IPF v2.23

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L3 daily Chl comparison: OLCI (O) vs current operational multi-sensor products (X=A+V)

Lower availability of matching observations in winter

The median of the histogram density is represented by the back line.

A+V: R2014.0 O: IPF v2.23

Ocean State Report #2 (2017): Eutrophication in the Baltic Sea

Baltic Sea summer chlorophyll-a mean field (1998-2014) and 2016 anomaly to the mean. Time series of summer subsurface and surface bloom spatiotemporal coverage (1998-2016) [summer spans 10/6 - 27/9]

OC PRODUCT EVOLUTION: (2018-2021)

• Sentinel 3A OLCI data streams in the NRT/DT/REP multi-sensor processing chains • Inclusion of Sentinel 3B OLCI & VIIRS//NOAA-20 • Evolution of the chlorophyll algorithm with a focus on optically complex waters

(particularly Baltic and Black sea) • Improvement of the L4 Chlorophyll products • Full resolution ocean colour (OLCI 300m) for European coastal areas • Phytoplankton type variables • Primary production (for Global ocean) • Long term chlorophyll trends and Ocean Monitoring Indicators


Fabio Fava






Bio-optics and CAL/VAL

AC-S & VSF-3 inherent optical properties

LIDAR

SATLANTIC optical profiler

CNR Effort on bio-optics & cal/val

CTD Conductivity Temperature

profiler

Since 1997 Annual bio-optical cruises

Flow-through system for IOP measurements

8 matchups from cast measurements 843 matchups from FT measurements

The Station for Climate Observations of Lampedusa is an integrated atmosphere-ocean observatory, with a ground-based laboratory (from 1997) and an open ocean buoy (collaboration ENEA and CNR, from August 2015)

35.5°N 12.6°E

Lampedusa Oceanic Buoy

Reflectances from radiometric profiles nearby the buoy 2-3 June 2017

Instruments at the buoy o Meteorological station o Sonic anemometer o Pyranometers (↑↓) o vis-near IR spectrometer (↑↓)

〰〰〰〰〰〰〰〰〰 o CTD with O2 o SST sensors at 2 depths o Hydrophone o 7-bands radiometers at two depths

(upwelling and downwelling radiance and irradiance)


Fabio Fava






Development of OC new products for

European Seas

PSC & PFT Algorithms for the Mediterranean Sea

Step 1. Regional Diagnostic Pigment Analysis:

New Mediterranean in-situ coefficients

Phytoplankton abundance approach

Step 2. In-situ PSC & PFT algorithm calibration & validation:

Mediterranean PFT & PSC functions

Annual climatological maps (1998-2015) of PSCs & PFTs: contribution of each group to the TChla (fractions in % - left panel, concentration in mg m-3 - right panel)

3D Chlorophyll Field Reconstruction From Surface Observations IN

PUT

Surface observations N

EURA

L N

ETW

ORK

AP

PRO

ACH

Multi-Layer-Perceptron

OU

TPU

T

Vertical Chl Profile

Cal/Val of the Artificial Neural Network

20 Oceanographic cruises 2710 stations (1998-2015)

In situ data

Method development

Application


Fabio Fava






Use OC data for monitoring the

marine environmental the coastal and inland

waters

A snapshot of coastal waters

Submerged vegetation fractional cover (%)

HICO

Landsat-8

Sentinel-2

• Calibration validation activities

• Monitoring of water quality for multiple users

• Submersed benthic habitat mapping

A snapshot of inland waters

MERIS & Sentinel-3

• Cal/Val • Monitoring of water quality for multiple users • Ecological assessments and HABs

02468

101214161820

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

chl-a

(mg/m

3)

MERIS Landsat In situ

Sentinel-2 & Landsat

APEX

PRISMA (sim)

River plume structure variability • For Po River prodelta, Landsat 8 scenes from two paths:

Revisit time is 7-9 days, instead of the standard 16 days. • Turbidity patterns in the Po river prodelta as function of river

discharge, wind and wave to describe fine scale processes at 30m

Braga et al, 2017 ECSS; Manzo et al 2018, JAG

Correlation of Turdibity vs Discharge

High correlation values provide an envelope of plume persistence and extension

Key ingredients:

•Coastal Suspended Sediment Load

•Coastal Current

Toward an operative Coastal Morphodynamic monitoring and diagnosis

Shoreline evolution depends on along shore gradients of sediment

flux Qs

Positive flux divergence in absence of river discharge indicates areas subject to erosion processes

Use of OC data for sustainable fishery

Ichthyoplanktonic data: position, time, number of eggs and larvae, larvae length and otolith increments (proxy of age).

Going back to “age zero”: lagrangian back-trajectories to reconstruct connections between

spawning and recruitment areas

Chl (r) encountered by the larvae in their backward travel: Only those individuals that travel within Chlorophyll-rich waters have a significant survival probability.

Chl-weighted reconstructed Spawning areas

Objectives : Simulate anchovy eggs and larvae backward evolution to reconstruct location and inter-annual variability of spawning areas

Spawning pdf

Falcini et al

What can we expect using the CMEMS/CNR L4 surface CHL?

(FUTURE WORKS) Improvement of the Altimeter derived currents using

CMEMS/CNR L4 remotely sensed SST

Improvement of the CMEMS L4 altimeter-derived currents via OPTIMAL MERGING with remotely-sensed surface oceanic tracers

Input data Altimetry: DUACS L4 gridded products SST: L4 OI maps (MW & IR) 1 year of global ocean data & Med regional data For validation (independent data): Drifting buoy velocities Chlorophyll L4 map

Gulf Stream, 7/08/ 2015 Alimeter velocity & SST MW

Significant Improvement of the velocity field for the meridional velocity (up to 20-30% in presence of strong SST gradient ),

Thanks for your attention

miur, via michele carcani, 61, roma the cnr ocean colour … · 2018. 3. 1. · presentazione...

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