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Abstract Deep-ocean observing is essential for informing policy making in the arenas of climate, biodiversity, fisheries, energy and minerals extraction, pollution, hazards, and genetic resources. The Deep Ocean Observing Strategy (DOOS), a UN Ocean Decade endorsed programme, is meeting with representatives from relevant international bodies and agreements to strengthen their interface with the deep-ocean science community, ensure that deep observing is responsive to societal needs, identify points of entry for science in policy making, and to develop relevant products for broad use. DOOS collaboration with the Environmental Systems Research Institute (Esri) facilitates this co-design. A DOOS policy liaison team is being formed to link the contacts, voices, and messaging of multiple deep-ocean networks and organizations in reaching international policy makers. The UN Ocean Decade will help to gain the ear of target communities, scale communication channels appropriately, minimize duplicative efforts, maximize limited resources, and organize inclusive and equitable public and private partners in deep-ocean science and policy. 

Abstract. We investigate a case of ocean waves through a pack icecover captured by Sentinel-1A synthetic aperture radar (SAR) on 12 October 2015 in the Beaufort Sea. The study domain is 400 km by 300 km, adjacent to amarginal ice zone (MIZ). The wave spectra in this domain were reported in aprevious study (Stopa et al., 2018b). In that study, the authors divided thedomain into two regions delineated by the first appearance of leads (FAL)and reported a clear change of wave attenuation of the total energy betweenthe two regions. In the present study, we use the same dataset to study thespectral attenuation in the domain. According to the quality of SAR-retrieved wave spectrum, we focus on a range of wave numbers corresponding to9–15 s waves from the open-water dispersion relation. Wefirst determine the apparent attenuation rates of each wave number by pairingthe wave spectra from different locations. These attenuation rates slightlyincrease with increasing wave number before the FAL and become lower and moreuniform against wave number in thicker ice after the FAL. The spectralattenuation due to the ice effect is then extracted from the measuredapparent attenuation and used to calibrate two viscoelastic wave-in-icemodels. For the Wang and Shen (2010b) model, the calibrated equivalent shearmodulus and viscosity of the pack ice are roughly 1 order of magnitudegreater than that in grease and pancake ice reported in Cheng et al. (2017).These parameters obtained for the extended Fox and Squire model are muchgreater, as found in Mosig et al. (2015) using data from the Antarctic MIZ.This study shows a promising way of using remote-sensing data with largespatial coverage to conduct model calibration for various types of icecover.Highlights. Three key points: The spatial distribution of wave number and spectral attenuation in pack iceare analyzed from SAR-retrieved surface wave spectra. The spectral attenuation rate of 9–15 s waves varies around10−5 m2 s−1, with lower values in thicker semicontinuous ice fieldswith leads. The calibrated viscoelastic parameters are greater than those found inpancake ice. 

Abstract The Deep Ocean Observing Strategy (DOOS) is an international, community-driven initiative that facilitates collaboration across disciplines and fields, elevates a diverse cohort of early career researchers into future leaders, and connects scientific advancements to societal needs. DOOS represents a global network of deep-ocean observing, mapping, and modeling experts, focusing community efforts in the support of strong science, policy, and planning for sustainable oceans. Its initiatives work to propose deep-sea Essential Ocean Variables; assess technology development; develop shared best practices, standards, and cross-calibration procedures; and transfer knowledge to policy makers and deep-ocean stakeholders. Several of these efforts align with the vision of the UN Ocean Decade to generate the science we need to create the deep ocean we want. DOOS works toward (1) a healthy and resilient deep ocean by informing science-based conservation actions, including optimizing data delivery, creating habitat and ecological maps of critical areas, and developing regional demonstration projects; (2) a predicted deep ocean by strengthening collaborations within the modeling community, determining needs for interdisciplinary modeling and observing system assessment in the deep ocean; (3) an accessible deep ocean by enhancing open access to innovative low-cost sensors and open-source plans, making deep-ocean data Findable, Accessible, Interoperable, and Reusable, and focusing on capacity development in developing countries; and finally (4) an inspiring and engaging deep ocean by translating science to stakeholders/end users and informing policy and management decisions, including in international waters.