Oceano & Clima: come quantificare i cambiamenti in corso?
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CNR DSSTTA ISMAR - IAS - IRBIM www.cnr.it www.dta.cnr.it www.ricercamarina.it Oceano & Clima: come quantificare i cambiamenti in corso? Rosalia Santoleri & CNR-ISMAR team CNR Istituto di Scienze Marine Istituto di direttore@ismar.cnr.it Scienze Marine rosalia.santoleri@cnr.it
CNR DSSTTA ISMAR - IAS - IRBIM www.cnr.it www.dta.cnr.it www.ricercamarina.it Climate and Ocean IPCC AR5 The ocean contains 97% of all water on Earth Where is global warming going? It traps > 90% of global warming Atmosphere 2.3% It receives > 80% of all precipitations Continents 2.1% It transports heat and freshwater over Ocean Glaciers & ice caps great distances 93.4% 0.9% > 70% Arctic sea ice It adsorbes 1/3 of all anthropogenic CO2 0.8% Greenland Ice Sheet 0.2% Antarctic Ice Sheet 0.2% Where are CO2 emissions going? 30% 40% 30% How inappropriate to call this planet Earth when it is quite clearly Ocean - Arthur C. Clarke Ocean Atmosphere Land cover
CONSIGLIO NAZIONALE DELLE RICERCHE ISTITUTO DI SCIENZE MARINE Global Ocean Observing System Osservare l’Oceano è essenziale per quantificare i cambiamenti avvenuti nel recente passato e monitorare i cambiamenti in atto e prevedere il futuro Ocean Essential Variable (EOV) includes the ECVs
CONSIGLIO NAZIONALE DELLE RICERCHE ISTITUTO DI SCIENZE MARINE Integrated system designed to meet many requirements: • Climate • Weather prediction • Global and coastal ocean prediction • Marine hazards warning • Transportation • Marine environment and • Tide gauge stations ecosystem monitoring • Drifting Buoys • Naval applications • Tropical Moored Buoys • 8 of 9 Societal Benefits • Profiling Floats • Ships of Opportunity • Ocean Reference Stations • Ocean Carbon Networks
CONSIGLIO NAZIONALE DELLE RICERCHE ISTITUTO DI SCIENZE MARINE Ocean Monitoring From Space Doppler velocity Ocean Colour Sentinel-1 A/B Sentinel-2 A/B Rugosity Sea Surface Temperature Sentinel-3 A/B Sun Glitter Sentinel-5P Surface Solar SMOS Radiation Sea Level Wind Salinity Cryosat-2 Meteosat SG Metop-C
CONSIGLIO NAZIONALE DELLE RICERCHE ISTITUTO DI SCIENZE MARINE European Copernicus Program & CNR-ISMAR Copernicus is the European Union's Earth Observation Programme, looking at our planet and its environment for the ultimate benefit of all European citizens. It offers information services based on satellite Earth Observation, in situ (non-space) data and model. Next generation CNR: EOV Product Development Satellite & production, reanalysis mission assessment & CAL/VAL activities CNR: Independent Scientific Quality assessment of ECV products (Atmosphere – Ocean – Land) , reanalysis development CNR has a leading role on Copernicus Marine and Climate Services CNR contribute to the Copernicus space and in situ components: data and products requirements , product validation and design of the next generation of satellite missions and in situ infrastructures
The Copernicus Marine CNR www.cnr.it Environment DSSTTA Monitoring www.dta.cnr.it Service ISMAR - IAS - IRBIM www.ricercamarina.it & the CNR-ISMAR role D i s s e m i n a t i o n CNR leads: Ocean Colour & SST TAC & Dissemination Service CNR is partner in: Multi- OBS(SSS, currents) & In Situ (HF radar) NRT and Multi Years Observation and forecasts covering the global ocean and the European regional Seas: Mediterranean, Black Sea, North Atlantic, Baltic and Arctic
THE CMEMS OCEAN STATE REPORT Marine … provides a state-of-the-art assessment of … draws on expert analysis Monitoring the state of the global ocean and European regional seas 100 experts Ocean Monitoring Indicator … provides • a 4-D view • a view from above • a view directly from the interior Blu Green White Ocean Ocean For ocean scientific community as well Ocean as for policy and decision makers. Published every year since 2016 in Journal of Operational Oceanography: OSR 5 (2021) just published https://marine.copernicus.eu/access-data/ocean-state-report/ocean-state-report-5
CONSIGLIO NAZIONALE DELLE RICERCHE ISTITUTO DI SCIENZE MARINE • SST is the EOV/ECV variable hisorically more measured • The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) offers surface marine data spanning 1800-present mainly based primary on ship of opportunity data (until the ‘80s) • International Data Rescue initiative are ongoing to recover data since 1662 • Data Rescue • Digitalization • Metadata creation • Homogeneization • Quality control • Uncertainty characterization These data are used to recostruct the past ocean climate during instrumental era. Global/regional gridded and gap free products are public avaliable: – statisticallly method (analysis) - model-based reconstructions (reanalysis)
CONSIGLIO NAZIONALE DELLE RICERCHE ISTITUTO DI SCIENZE MARINE Global SST climatology from 2003-2020 Climate Change At Global scale ISMAR Global Ocean and climate dynamics coordinates the Copernicus Climate Change Chunxue Yang Service (C3S) ISMAR, Roma project to assess climate datasets of the Climate Data Store (CDS) for the study of climatic signals in different ECV global SST analysis (atmosphere, ocean, intercomparison cryosphere and land Yang et al. (2021) J. Climate (https://doi.org/10.1175/JCLI-D-20-0793.1)
CONSIGLIO NAZIONALE DELLE RICERCHE Global monthly ISTITUTO DI mean SST SCIENZE MARINE Climate Change Yang et al. (2021) J. Climate (https://doi.org/10.1175/JCLI-D-20-0793.1) Global Ocean and climate dynamics Chunxue Yang ISMAR, Roma Satellite Era
CONSIGLIO NAZIONALE DELLE RICERCHE SST trend 2003-2018 ISTITUTO DI SCIENZE MARINE Climate Change Global Ocean and climate dynamics Chunxue Yang ISMAR, Roma Yang et al. (2021) J. Climate
CONSIGLIO NAZIONALE DELLE RICERCHE ISTITUTO DI SCIENZE MARINE Tasso di Crescita della livello del mare 2003-2018 Climate Change Global Ocean and climate dynamics Chunxue Yang ISMAR, Roma Causes of Sea Level Rise Cosa provoca l’aumento del livello del mare ? addition of heat addition of freshwater Total sea level rise Coastal ecosystems are already impacted by the combination of SLR + =
CONSIGLIO NAZIONALE DELLE RICERCHE Copertura dei ghiacci ISTITUTO DI SCIENZE MARINE marini (2002-2017 ) Climate Change Tasso del cambiamento della concentrazione del ghiaccio marino per decennio, nel periodo 2002-2017 Estesione dei ghiacci emisfero nord Global Ocean and climate dynamics Chunxue Yang ISMAR, Roma Massonnet et al., Sea Ice MPQB
The dual importance of the Arctic sea-ice decline The sea-ice decline causes and consequences Ice-albedo feedbacks Thermohaline circulation Changes in the global ocean and atmospheric Increased ocean heat exchanges Meridional heat redistribution circulation and heat redistribution Heavier winter storms [...] Amplification of the climate change The Arctic as a system Sea-ice decline Climate Change The sea-ice decline as global warming proxy One of the shades of climate change, which is Increased longwave radiation easy to measure accurately from the satellite era (from Change of circulation patterns Warmer air masses 1979 onwards) Meridional heat redistribution Decrease in snowfall Increase in variability The importance in the media: advertising the Intrusion of warm waters “global warming” [...] Perception and sensitivity depends on the proxy
Ocean Heat Content Ocean Heat Content is a fundamental proxy of the climate change, as the oceans store ~90% of the SST excess energy caused by the increase of OHC concentration of heat-trapping GHGs (~0.6 W m-2 from 1990s in the top 2000m) Due to the scarcity of in-situ observations before the Argo float era, it is not easy to estimate accurately the variations of OHC on multi-decadal scales, and disentangling the effect of internal versus external forcing on the OHC variability, and the natural high- frequency variability dominated e.g. by ENSO, etc. Surface datasets (e.g. SST), while more accurate, Recent acceleration visible in OHC cannot sketch the integrated effect of the global and not SST (e.g. Cheng et al., 2018) climate change CNR www.cnr.it
historical data Yang et al. (2017) CNR DSSTTA ISMAR - IAS - IRBIM Meyssignac et al. (2019) www.cnr.it www.dta.cnr.it www.ricercamarina.it
Ocean Heat Content (Garcia-Soto et al., 2021) CNR DSSTTA ISMAR - IAS - IRBIM www.cnr.it www.dta.cnr.it www.ricercamarina.it
Global and basin-scale warming from ensemble reanalyses • OHCT is unprecedented since 1998 Basin Volume • The Indian Ocean accumulates heat more significantly than its volume contribution. The Atlantic Ocean less. • The Pacific Ocean is the largest (in absolute) heat accumulator Basin warming • Contributions from polar regions are not significant • Four periods of anomalous Notable volcanic eruptions Significant signal (w.r.t. spread) warming are identified: 1929-1935, • Only occasional short periods with negative OHCT 1954-1964, 1968-1980, 1993- CNR DSSTTA ISMAR - IAS - IRBIM (Storto et al., 2021) www.cnr.it www.dta.cnr.it www.ricercamarina.it
CNR DSSTTA ISMAR - IAS - IRBIM www.cnr.it www.dta.cnr.it www.ricercamarina.it Mediterranean Region: a climate change hotspot Mediterranean region: one of the most responsive to climate change Global from Medecc AR1 Mediterranean ΔT vs pre-industrial levels = 1.4 °C (0.5 °C more than global average) Future projections: a global ΔT=2°C implies a ΔTMED=3°C 2100 → 2-6 °C T increase and 5-25% P decrease from IPCC AR4 Mediterranean Sea: a miniature ocean ▪ Intense winter atmospheric forcings Laboratory for: ▪ Dense water formation ✓ document changes ▪ Thermohaline circulation ✓ understand role of ▪ Short turnover timescales key processes involved in climate change ▪ Concentration basin
CONSIGLIO NAZIONALE DELLE RICERCHE ISTITUTO DI SCIENZE MARINE CAMBIAMENTI CLIMATICI NEL MEDITERRANEO La regione mediterranea si riscalda attualmente il 20% più velocemente del globo La temperatura media annuale è ora di 1,4°C al di sopra dei tempi preindustriali
CONSIGLIO NAZIONALE DELLE RICERCHE ISTITUTO DI SCIENZE MARINE SST trend map (C/year) covering the 1982–2018 period Spectrum Analysis based on Singular Trends reconstruction trend di riscaldamento quasi continuo della SST ad un tasso di 0,041 ± 0,006 °C/anno. Rappresenta un La SST del Mediterraneo è aumentata di 1,0-1,5 °C mentre nel box atlantico dopo l'aumento di 0,8 °C del 1982-1998 la SST è rimasta aumento totale della SST di circa 1,5 °C dal 1982 al costante. Le SST del Mediterraneo e del Box Atlantico si biforcano 2018 intorno al 2008. [Pisano et al.Remote Sensing 2020]
CNR DSSTTA ISMAR - IAS - IRBIM www.cnr.it www.dta.cnr.it www.ricercamarina.it Measuring the Ocean : the CNR Observing System Oceanographic tower IAS Moorings ISP Oceanographic Buoys or cabled systems Repeated transects and stations Glider line Radars Datasets → international repositories Upgrade of the ISMAR observing system
CNR DSSTTA ISMAR - IAS - IRBIM www.cnr.it www.dta.cnr.it www.ricercamarina.it Rising temperature and salinity at depth Schroeder et al., 2017, ISMAR VE, SP, TS Sardinia Channel, 1900 m, 2003-2019 T ➢ 28 years @400 m: ΔT=0.68°C and ΔS=0.20 ➢ Mediterranean «signal» S Adapted from Medecc AR1 and data collected by ISMAR VE, SP, TS data
Extreme Events: Marine Heat Waves in the observed in the last 40 years Leonelli et 2021 in preparation
Climate change: the global picture from OSR 2020 The Earth system as a closed system and the role of the heat-trapping greenhose gases Looking at the energy budget, its distribution, its rate of change and acceleration from von Schuckmann et al. (2020)
Earth System Models Earth system models (ESMs) are numerical representation of the physical processes occurring on the Earth, and are based on spatio-temporal discretization of the equations governing such processes ⚫ ESMs are fundamental tools for scientists to understand the processes underlying the climate change ⚫ ESMs are affected by both systematic and random Atmospheric error, caused by the discretization itself, the model approximations contained of parametrizations, and our limited knowledge of the physical processes and Land limited computational power model Data Assimilation is the technique that statistically combines Wave (weighs) models and observations accounting for their respective errors and balances, to recover from ESM errors model Ocean model Data Assimilation is used Biogeochemical model for predictions and climate Sea-ice model reconstructions
The predictability problem Importance of ESMs are tools now shared by any scale of Importance of the observations prediction the scenarios Deterministic Probabilistic predictions predictions Sketch extracted from the World Climate Research Program (WCRP) website
CNR DSSTTA ISMAR - IAS - IRBIM www.cnr.it www.dta.cnr.it www.ricercamarina.it Key messages ➢ Understanding of climatic processes occurring in the oceans requires regular and long-term observations and advanced numerical tools → enable us to separate real long-term trends in environmental drivers from the natural variability of the system or high-frequency processes → most of the GHG-induced excess energy is stored in the sub-surface ocean, requiring proper measurement and analysis ➢ Mediterranean amplification of the climatic signals stand out when compared with global average trends ➢ The sea-ice decline is a notable example of complex feedback mechanisms occurring in the Earth’s climate katrin.schroeder@ismar.cnr.it Grazie per l’attenzione.
CNR DSSTTA ISMAR - IAS - IRBIM www.cnr.it www.dta.cnr.it www.ricercamarina.it References Marullo S., B. Buongiorno Nardelli, M. Guarracino, and R. Santoleri (2006). Observing The Mediterranean Sea from Space: 21 years of Pathfinder-AVHRR Sea Surface Temperatures (1985 to 2005). Re-analysis and validation. Ocean Science, 3, 299-310, 2007. Marullo, S. V. Artale, R. Santoleri (2011). The SST multi-decadal variability in the Atlantic-Mediterranean region and its relation to AMO. J. of Climate, Volume 24, Issue 16 (August 2011) pp. 4385-4401, doi: 10.1175/2011JCLI3884.1. Minnett, P.J., Alvera-Azcárate, A., Chin, T.M., Corlett, G.K., Gentemann, C.L., Karagali, I., Li, X., Marsouin, A., Marullo, S., Maturi, E. and Santoleri, R., 2019. Half a century of satellite remote sensing of sea-surface temperature. Remote Sensing of Environment, 233, p.111366. Meyssignac B, et al. (2019) Measuring Global Ocean Heat Content to Estimate the Earth Energy Imbalance. Front. Mar. Sci. 6:432. doi: 10.3389/fmars.2019.00432 Pisano, A., Marullo, S., Artale, V., Falcini, F., Yang, C., Leonelli, F. E., ... & Buongiorno Nardelli, B. (2020). New evidence of mediterranean climate change and variability from sea surface temperature observations. Remote Sensing, 12(1), 132 . Rosalia Santoleri Istituto di direttore@ismar.cnr.it Direttore ISMAR Scienze Marine rosalia.santoleri@cnr.it
CNR DSSTTA ISMAR - IAS - IRBIM www.cnr.it www.dta.cnr.it www.ricercamarina.it References Schroeder, K., Chiggiato, J., Josey, S. A., Borghini, M., Aracri, S., & Sparnocchia, S. (2017). Rapid response to climate change in a marginal sea. Scientific Reports, 7(1), 1-7 Storto, A., Balmaseda, M. A., de Boisseson, E., Giese, B. S., Masina, S., & Yang, C. (2021). The 20th century global warming signature on the ocean at global and basin scales as depicted from historical reanalyses. International Journal of Climatology, 1– 21. https://doi.org/10.1002/joc.7163 von Schuckmann et al. (2021) Copernicus Marine Service Ocean State Report, Issue 5, Journal of Operational Oceanography, 14:sup1, 1-185, DOI: 10.1080/1755876X.2021.1946240 von Schuckmann, et al..: Heat stored in the Earth system: where does the energy go?, Earth Syst. Sci. Data, 12, 2013–2041, https://doi.org/10.5194/essd-12-2013-2020, 2020. Yang, C., Masina, S. and Storto, A. (2017), Historical ocean reanalyses (1900–2010) using different data assimilation strategies. Q.J.R. Meteorol. Soc., 143: 479-493. https://doi.org/10.1002/qj.2936 Yang, C., Leonelli, F. E., Marullo, S., Artale, V., Beggs, H., Nardelli, B. B., Chin, T. M., De Toma, V., Good, S., Huang, B., Merchant, C. J., Sakurai, T., Santoleri, R., Vazquez-Cuervo, J., Zhang, H., & Pisano, A. (2021). Sea Surface Temperature Intercomparison in the Framework of the Copernicus Climate Change Service (C3S), Journal of Climate, 34(13), 5257-5283 Rosalia Santoleri Istituto di direttore@ismar.cnr.it Direttore ISMAR Scienze Marine rosalia.santoleri@cnr.it
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