EUROSEA TASK 6.3 MULTIPURPOSE INTEGRATION OF BOOS & HELCOM NETWORKS - URMAS LIPS, OLIVER SAMLAS, STELLA-THERESA STOICESCU (TALTECH) JUN SHE (DMI) ...
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EuroSea Task 6.3 Multipurpose
integration of BOOS & HELCOM
networks
Urmas Lips, Oliver Samlas, Stella-Theresa Stoicescu (TalTech)
Jun She (DMI)
HELCOM State & Conservation 14-2021, 06.05.2021
HELCOM Recommendation 10/1: ABNORMAL SITUATIONS IN THE MARINE ENVIRONMENT It recommends that the Contracting Parties to the Helsinki Convention should: a) utilize the early warning system established according to HELCOM Recommendation 6/14 also for early warning of abnormal environmental situations; b) use appropriate methods for detecting and monitoring algal blooms; …
Copernicus marine service The Copernicus Marine Environment Monitoring Service (CMEMS; http://marine.copernicus.eu/) provides regular and systematic core reference information on the physical state of the oceans and regional seas. The services are based on remote sensing, in-situ observations with near real-time data delivery and operational models. The observations and forecasts produced by the service support all marine applications.
List of potential products (CMEMS/EuroSea)
Factsheets on abnormal events, trends and extremes (in hydrography/hydrology)
Task 6.3 Name of product Extended description
Baltic Sea extremes Extremes in sea level, surface waves, ice, etc.
Sea surface temperature (SST) SST yearly, seasonal and monthly averages and variability,
including heat waves, upwelling intensity, etc.
Stratification Upper mixed layer (UML) characteristics (depth), deep layer
salinity (salt water inflows) and vertical stratification
Near-bottom hypoxia and anoxia The area and volume of hypoxic and anoxic waters in the Baltic
Sea
Available fact sheets on
HELCOM web site:
SST, heat waves and upwelling intensity
Task 6.3 Extended description Comments
Name of product Sea surface temperature (SST), trends, extremes, heat
waves and upwelling intensity
Spatial extent Baltic Sea area
Spatial resolution 2 km
Temporal extent 1993 to Present
Temporal resolution Daily data; quarterly update of reports (web products)
Usability HELCOM environmental fact sheets on hydrography
Input observational or model BALTICSEA_REANALYSIS_PHY_003_011
sources
Input observational or model BALTICSEA_ANALYSISFORECAST_PHY_003_006
sources
Input observational or model SST_BAL_SST_L4_NRT_OBSERVATIONS _010_007_B
sources
Input observational or model SST_BAL_SST_L4_REP_OBSERVATIONS_010_016
sources
Input observational or model INSITU_BAL_NRT_OBSERVATIONS_013_032
sources
Algorithm/model used BAL MFC PDAF-NEMO-ERGOM model complex Available as demo
Algorithms developed within the project versions in autumn 2021
SST anomaly (available CMEMS products)
Heat waves
Climatology of SST is calculated for each grid cell
(1993-2019)
Heat wave is defined if SST exceeds the
climatological mean more than a threshold for at
least 5 days
The occurrence and intensity of heat waves will be
estimated (seasonal and yearly values)
Maps of heat waves (both parameters) are created
and presented as the products
Hobday, A. J. et al. (2016), A hierarchical approach to defining marine
heatwaves, Prog. Ocean., 141, pp. 227-238,
10.1016/j.pocean.2015.12.014
Upwelling intensity
SST deviation from the transect mean (from shore to
shore) in each grid cell is calculated daily
Upwelling is defined if SST deviation exceeds a
threshold
Occurrence and intensity of upwellings will be
calculated for the summer season and the maps will
presented
Lehmann A, Myrberg K, Höflich K (2012) A statistical approach
to coastal upwelling in the Baltic Sea based on the analysis of
satellite data for 1990-2009. Oceanologia 54(3):369–393
Kikas V, Lips U (2016) Upwelling characteristics in the Gulf of
Finland (Baltic Sea) as revealed by Ferrybox measurements in
2007–2013, Ocean Science, 12: 843-859.
List of products
Eutrophication indicators which could be calculated based on CMEMS model products
Task 6.3 Name of product Extended description
Dissolved inorganic nitrogen (DIN) Winter concentrations of dissolved inorganic nitrogen (DIN) in the
surface layer
Dissolved inorganic phosphorus (DIP) Winter concentrations of dissolved inorganic phosphorus (DIP) in
the surface layer
Chlorophyll-a (Chl-a) Summer concentrations of chlorophyll-a (Chl-a) in the surface
layer
Oxygen debt Oxygen debt in the deep layer
Dissolved inorganic phosphorus (DIP)
Task 6.3 Extended description Comments
Name of product Dissolved inorganic phosphorus (DIP)
Spatial extent Baltic Sea area
Spatial resolution 1 nm, assessment results derived for the HELCOM sub-basins
Temporal extent 1993-2019 During the project will
be extended to Present
Temporal resolution Yearly, average winter values (December-February)
Usability HELCOM eutrophication assessments
Input observational or BALTICSEA_REANALYSIS_BIO_003_012
model sources
Input observational or BALTICSEA_ANALYSISFORECAST_BGC_003_007
model sources
Input observational or HELCOM monitoring data
model sources
Algorithm/model used BAL MFC PDAF-NEMO-ERGOM model complex
HELCOM core indicator “Dissolved inorganic nitrogen (DIN)”Examples of indicator assessments based on CMEMS products DIP in the surface layer in winters 2013-2019 Eastern Gotland Basin Based on CMEMS re-analysis product Year Mean [µmol/l] ER 2012_2013 0.73360 2.52967 2013_2014 0.75399 2.59998 2014_2015 0.79517 2.74198 2015_2016 0.82445 2.84294 2016_2017 0.76725 2.64569 2017_2018 0.73053 2.51906 2018_2019 0.70879 2.44410
Examples of indicator assessments based on CMEMS products DIP in the surface layer in winters 2013-2018 Gulf of Finland Based on CMEMS re-analysis product Year Mean (µmol/l) ER 2012/2013 1.4112 2.3919 2013/2014 1.2090 2.0492 2014/2015 1.0558 1.7895 2015/2016 1.0394 1.7617 2016/2017 0.9758 1.6539 2017/2018 0.8932 1.5140
Challenges and plans
Modelling
• Quality of BGC model products is not good enough for assessment
• Quality of BGC reanalysis is better than model-only products, but data for assimilation for the reanalysis are
available with a time lag of about one year
Planned improvements during the
project:
CTD data (including DO profiles)
delivered and used for assimilation
(PDAF)
HELCOM data when available used
for assimilation (PDAF)List of potential products (EuroSea/CMEMS)
Fact sheets on abnormal events, trends and extremes (in hydrography/hydrology)
Task 6.3 Name of product Extended description
Baltic Sea extremes Extremes in sea level, surface waves, ice, etc.
Sea surface temperature (SST) SST yearly, seasonal and monthly averages and variability,
including heat waves, upwelling intensity, etc.
Stratification Upper mixed layer (UML) characteristics (depth), deep layer
salinity (salt water inflows) and vertical stratification
Near-bottom hypoxia and anoxia The area and volume of hypoxic and anoxic waters in the Baltic
Sea
Questions to S&C contacts still valid:
• What are the events to be included in the service?
• How often the reports should be made available?
• Should the reports be available as HELCOM factsheets?
• Who should be informed?Thank you!
Drafts of products will be presented in autumn 2021
Contacts: Urmas Lips (urmas.lips@taltech.ee)
Oliver Samlas (oliver.samlas@taltech.ee) HELCOM State & Conservation 14-2021, 06.05.2021You can also read
