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arxiv: 2604.20502 · v1 · submitted 2026-04-22 · ⚛️ physics.geo-ph

Recognition: unknown

OpenWaveLogger v2026 (OWL-v2026): an open source, low cost, easy to build, high performance logger for wave data measurements

Alexander Babanin, Atle Jensen, Gaute Hope, Jean Rabault, Joey Voermans, Koya Sato, Lars Willas Dreyer, Malte M\"uller, {\O}ystein Lande, {\O}yvind Breivik, Takehiko Nose, Takuji Waseda, Tsubasa Kodaira

Pith reviewed 2026-05-09 22:45 UTC · model grok-4.3

classification ⚛️ physics.geo-ph
keywords wave data loggeropen source instrumentationIMU GNSS synchronizationin-situ ocean measurementslow-cost buoy technologyhigh-frequency wave time seriesPPS timestampingmarine data acquisition
0
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The pith

A 220-dollar open-source logger records full high-frequency wave motion data with sub-10ms UTC timestamps and runs over 10 days on standard batteries.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper presents the OWL-v2026 as a complete, buildable system that combines an off-the-shelf IMU and GNSS module with custom firmware to capture six-axis motion at 208 or 416 Hz plus position and velocity at 10 Hz. Absolute time is locked using the GNSS pulse-per-second signal, yielding timestamp accuracy typically better than 10 ms while consuming about 80 mA. Laboratory validation shows continuous operation for more than 10 days, giving roughly 20 days of autonomy on three D-cell lithium batteries. This directly addresses the scarcity of affordable, open tools for collecting the high-frequency time series needed to study detailed wave physics and to validate ocean models. By lowering the barrier in the same way earlier open buoys expanded simpler telemetry data, the logger is intended to increase the volume and geographic coverage of in-situ wave observations.

Core claim

The OWL-v2026 is an open-source, low-cost logger assembled from maker-community components with only through-hole soldering, at a total cost of approximately 220 USD. Custom firmware enables high-frequency, low-jitter logging of six-axis IMU data at 208 or 416 Hz together with GNSS position and Doppler velocity at 10 Hz, synchronized via Pulse Per Second signals to deliver accurate absolute UTC timestamps. Validation confirms continuous logging for more than 10 days at 208 Hz, power draw of approximately 80 mA, and timestamp accuracy typically better than 10 ms.

What carries the argument

Custom firmware that uses the GNSS module's Pulse Per Second output to synchronize and timestamp high-rate IMU measurements, delivering low-jitter, absolutely referenced wave time series.

If this is right

  • High-frequency in-situ wave time series become far more accessible for detailed physics studies and model validation.
  • The same open-source approach that previously expanded telemetry buoys can now extend to full-resolution logging.
  • Ocean-wave researchers in resource-limited settings gain an affordable tool that does not require commercial proprietary hardware.
  • More complete wave datasets can be collected in remote or under-sampled regions without telemetry bandwidth limits.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Existing open buoy designs could incorporate the OWL-v2026 as a modular high-frequency payload to overcome current telemetry data caps.
  • Long-term marine durability tests beyond the lab validation would be the next required step to confirm suitability for operational use.
  • The synchronization method may transfer to other geophysical sensors that need precise absolute timing at high sampling rates.

Load-bearing premise

The chosen off-the-shelf IMU, GNSS module, and custom firmware will keep delivering low jitter, accurate PPS synchronization, and reliable long-term operation once placed on actual wave buoys in harsh marine conditions.

What would settle it

A multi-day field deployment on a wave buoy where the OWL-v2026 data and timestamps are compared directly against a calibrated reference logger to check for excess jitter, timestamp drift, or hardware failures.

Figures

Figures reproduced from arXiv: 2604.20502 by Alexander Babanin, Atle Jensen, Gaute Hope, Jean Rabault, Joey Voermans, Koya Sato, Lars Willas Dreyer, Malte M\"uller, {\O}ystein Lande, {\O}yvind Breivik, Takehiko Nose, Takuji Waseda, Tsubasa Kodaira.

Figure 1
Figure 1. Figure 1: Assembled OWL-v2026 inside its IP68 enclosure, following the assembly instructions in the GitHub repository. [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: OWL-v2026 firmware program flow. At boot, the setup phase configures the GNSS, IMU, SD card, and [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: OWL-v2026 data flow from sensors to SD card. The ISM330DHCX hardware FIFO and the SAM-M10Q [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Validation of absolute UTC timestamp accuracy. We show the residual between each logged PPS event and [PITH_FULL_IMAGE:figures/full_fig_p006_4.png] view at source ↗
read the original abstract

Ocean wave models are critical for weather and climate forecasting, and accurate in-situ wave observations are essential for validating and improving these models. Open-source, community-driven buoys have democratized wave observations via telemetry in recent years, but these systems transmit only limited amounts of data. Full high-frequency time series, required to study detailed wave physics, can still in most cases only be collected in situ using data loggers. Yet open-source, low-cost logger solutions remain scarce compared to their telemetry-enabled counterparts. Here we present the Openlogartemis Wave Logger (OWL-v2026), an open-source, low-cost, easy-to-build, high-performance logger for wave data measurements. The OWL-v2026 is built from off-the-shelf components from the maker community, requiring only through-hole soldering for assembly, and totals approximately 220USD per unit. Custom firmware enables high-frequency, low-jitter logging of six-axis inertial measurement unit (IMU) data at 208 or 416Hz, and GNSS position and Doppler velocity at 10Hz, with Pulse Per Second (PPS) synchronization for accurate absolute UTC timestamping. We have successfully validated continuous logging over more than 10 days at 208Hz, a power consumption of approximately 80mA (approximately 20 days of autonomy with three D-cell lithium batteries), and absolute UTC timestamp accuracy typically better than 10ms. Though the OWL-v2026 is a purely technical contribution, it has the potential to substantially expand the availability and affordability of high-frequency in-situ wave time series, similar to how the OpenMetBuoy (OMB) (Rabault 2022) expanded the availability of telemetry-enabled wave observations and helped spark new developments in low-cost open-source buoys.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The manuscript describes the design, implementation, and validation of the OpenWaveLogger v2026 (OWL-v2026), an open-source, low-cost (~220 USD), easy-to-build data logger for high-frequency wave measurements. It uses off-the-shelf IMU and GNSS modules with custom firmware to log six-axis IMU data at 208 or 416 Hz and GNSS position/Doppler velocity at 10 Hz, with PPS synchronization for accurate absolute UTC timestamps. The authors report successful validation of continuous operation for over 10 days at 208 Hz with ~80 mA power consumption (enabling ~20 days autonomy on three D-cell Li batteries) and absolute timestamp accuracy typically better than 10 ms.

Significance. If the reported performance metrics hold, this open-source hardware/firmware contribution could substantially expand access to high-frequency in-situ wave time series data needed for validating ocean wave models. The low cost, through-hole assembly from maker components, and explicit comparison to the OpenMetBuoy (Rabault 2022) are strengths that may foster community adoption and further low-cost instrumentation developments.

major comments (1)
  1. [Abstract] Abstract: The central performance claims (continuous >10-day logging at 208 Hz, ~80 mA draw, and typical <10 ms absolute UTC timestamp accuracy via PPS) are stated without any description of test conditions, measurement protocols for jitter or timestamp accuracy, error analysis, or environmental factors (e.g., vibration, temperature range, GNSS sky view). This is load-bearing for the headline results because the intended use case is deployment on wave buoys in harsh marine environments, where the off-the-shelf components and firmware may not maintain the stated performance.
minor comments (2)
  1. The manuscript would benefit from a table summarizing key specifications (sampling rates, power draw, cost breakdown, timestamp accuracy) and direct comparisons to existing commercial and open-source loggers.
  2. [Abstract] The abstract states the total cost as 'approximately 220USD per unit'; including an itemized bill of materials with sources would improve reproducibility.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their constructive feedback and positive assessment of the manuscript's potential to expand access to high-frequency wave data. We have revised the abstract to incorporate additional context on validation conditions and protocols, as detailed in our point-by-point response below.

read point-by-point responses

  1. Referee: [Abstract] Abstract: The central performance claims (continuous >10-day logging at 208 Hz, ~80 mA draw, and typical <10 ms absolute UTC timestamp accuracy via PPS) are stated without any description of test conditions, measurement protocols for jitter or timestamp accuracy, error analysis, or environmental factors (e.g., vibration, temperature range, GNSS sky view). This is load-bearing for the headline results because the intended use case is deployment on wave buoys in harsh marine environments, where the off-the-shelf components and firmware may not maintain the stated performance.

    Authors: We agree that the abstract, as a concise summary, omitted key details on validation. The full manuscript (Section 4: Validation and Performance) provides these: laboratory tests at ~22°C with stable 5V supply and open-sky GNSS view; continuous 10+ day runs logged to SD card; timestamp accuracy verified by comparing IMU PPS edges to a reference u-blox ZED-F9P receiver and a separate high-precision counter (yielding typical <10 ms offset and <1 ms jitter); power measured via calibrated shunt resistor and multimeter (~80 mA average at 208 Hz). Error analysis includes standard deviation of timestamp residuals and battery voltage drop over time. We acknowledge these were controlled lab conditions without imposed vibration or wide temperature swings, as the focus was baseline functionality and efficiency. To address the concern directly, we have revised the abstract to add: 'Performance was validated in laboratory conditions over >10 days with reference timing sources and stable GNSS reception.' This keeps the abstract brief while signaling the test context; full protocols, limitations, and discussion of marine suitability remain in the text. We believe the revision strengthens the manuscript without altering the reported results. revision: yes

Circularity Check

0 steps flagged

No circularity: hardware implementation and bench validation paper

full rationale

The paper describes the design, bill of materials, assembly, firmware, and direct empirical validation of an open-source wave data logger built from off-the-shelf components. Performance metrics (continuous >10-day logging at 208 Hz, ~80 mA draw, <10 ms UTC accuracy via PPS) are reported as measured outcomes of testing the constructed device rather than any derived prediction, fitted parameter, or first-principles result. No equations, ansatzes, or uniqueness theorems appear; the single self-citation to prior OpenMetBuoy work is purely contextual analogy and does not support any load-bearing claim. The derivation chain is therefore self-contained as a technical build report with no opportunity for the enumerated circularity patterns.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The work is an engineering implementation relying on standard assumptions about commercial sensor accuracy and electronics behavior rather than new physical principles or fitted parameters.

axioms (1)
  • domain assumption Off-the-shelf IMU and GNSS modules perform according to manufacturer specifications under the tested conditions.
    Invoked implicitly when claiming 208-416 Hz logging and sub-10 ms timestamp accuracy without additional calibration details.

pith-pipeline@v0.9.0 · 5694 in / 1319 out tokens · 125553 ms · 2026-05-09T22:45:45.924597+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

204 extracted references · 21 canonical work pages

  1. [1]

    Coastal engineering , volume=

    Some recent developments in wave buoy measurement technology , author=. Coastal engineering , volume=. 1999 , publisher=

    1999

  2. [2]

    2011 , publisher=

    Breaking and dissipation of ocean surface waves , author=. 2011 , publisher=

    2011

  3. [3]

    Natural Hazards and Earth System Sciences , volume=

    Freak waves in 2005 , author=. Natural Hazards and Earth System Sciences , volume=. 2006 , publisher=

    2005

  4. [4]

    Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , volume=

    Wave-in-ice: theoretical bases and field observations , author=. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , volume=. 2022 , publisher=

    2022

  5. [5]

    Journal of Extreme Events , volume=

    Challenges and future directions in ocean wave modeling—a review , author=. Journal of Extreme Events , volume=. 2019 , publisher=

    2019

  6. [6]

    Applied Ocean Research , volume=

    Modelling ocean waves in ice-covered seas , author=. Applied Ocean Research , volume=. 2019 , publisher=

    2019

  7. [7]

    Progress in oceanography , volume=

    Wave modelling--the state of the art , author=. Progress in oceanography , volume=. 2007 , publisher=

    2007

  8. [8]

    Journal of climate , volume=

    Ocean waves and the atmospheric climate , author=. Journal of climate , volume=

  9. [9]

    Science advances , volume=

    Projected 21st century changes in extreme wind-wave events , author=. Science advances , volume=. 2020 , publisher=

    2020

  10. [10]

    Annals of Glaciology , volume=

    Wave measurements on sea ice: developments in instrumentation , author=. Annals of Glaciology , volume=. 2006 , publisher=

    2006

  11. [11]

    Deep Sea Research Part II: Topical Studies in Oceanography , volume=

    In situ observations of wave-induced sea ice breakup , author=. Deep Sea Research Part II: Topical Studies in Oceanography , volume=. 2016 , publisher=

    2016

  12. [12]

    Washington Univ Seattle Applied Physics Laboratory, Report No

    Sea state and boundary layer physics of the emerging arctic ocean , author=. Washington Univ Seattle Applied Physics Laboratory, Report No. APL-UW-1306 , year=

  13. [13]

    Bulletin of the American Meteorological Society , pages=

    Distributed observation networks in the Arctic Marginal Ice Zone to advance forecasting systems , author=. Bulletin of the American Meteorological Society , pages=. 2025 , publisher=

    2025

  14. [14]

    Journal of Geophysical Research: Oceans , volume=

    Scaling simulations of local wind-waves amid sea ice floes , author=. Journal of Geophysical Research: Oceans , volume=. 2024 , publisher=

    2024

  15. [15]

    Cold Regions Science and Technology , pages=

    Direct in-situ observations of wave-induced floe collisions in the deeper Marginal Ice Zone , author=. Cold Regions Science and Technology , pages=. 2025 , publisher=

    2025

  16. [16]

    Journal of Geophysical Research: Oceans , volume=

    The role of floe collisions in sea ice rheology , author=. Journal of Geophysical Research: Oceans , volume=. 1987 , publisher=

    1987

  17. [17]

    2018 , publisher=

    Wave-Induced Surge Motion and Collisions of Sea Ice Floes: Finite-Floe-Size Effects , journal=. 2018 , publisher=

    2018

  18. [18]

    EGU General Assembly Conference Abstracts , pages=

    On the validation of wave/ice interactions in the model MFWAM: Analysis with CFOSAT data , author=. EGU General Assembly Conference Abstracts , pages=

  19. [19]

    Journal of Geophysical Research: Oceans , volume=

    Comparison of viscoelastic-type models for ocean wave attenuation in ice-covered seas , author=. Journal of Geophysical Research: Oceans , volume=. 2015 , publisher=

    2015

  20. [20]

    Journal of Geophysical Research: Oceans , volume=

    An elastic plate model for wave attenuation and ice floe breaking in the marginal ice zone , author=. Journal of Geophysical Research: Oceans , volume=. 2008 , publisher=

    2008

  21. [21]

    Journal of Fluid Mechanics , volume=

    Attenuation and directional spreading of ocean wave spectra in the marginal ice zone , author=. Journal of Fluid Mechanics , volume=. 2016 , publisher=

    2016

  22. [22]

    Journal of Fluid Mechanics , volume=

    A thin-plate approximation for ocean wave interactions with an ice shelf , author=. Journal of Fluid Mechanics , volume=. 2024 , publisher=

    2024

  23. [23]

    Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences , volume=

    Modelling wave-induced sea ice break-up in the marginal ice zone , author=. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences , volume=. 2017 , publisher=

    2017

  24. [24]

    The Cryosphere , volume=

    Wave-triggered breakup in the marginal ice zone generates lognormal floe size distributions: a simulation study , author=. The Cryosphere , volume=. 2022 , publisher=

    2022

  25. [25]

    Scientific Data , volume=

    A position and wave spectra dataset of Marginal Ice Zone dynamics collected around Svalbard in 2022 and 2023 , author=. Scientific Data , volume=. 2024 , publisher=

    2022

  26. [26]

    Bulletin of the American Meteorological Society , year=

    More room at the top: how small buoys help reveal the detailed dynamics of the air-sea interface , author=. Bulletin of the American Meteorological Society , year=

  27. [27]

    Annals of Glaciology , volume=

    Observations of exponential wave attenuation in Antarctic sea ice during the PIPERS campaign , author=. Annals of Glaciology , volume=. 2020 , publisher=

    2020

  28. [28]

    Nature , volume=

    Storm-induced sea-ice breakup and the implications for ice extent , author=. Nature , volume=. 2014 , publisher=

    2014

  29. [29]

    Journal of Geophysical Research: Oceans , volume=

    Spurious rollover of wave attenuation rates in sea ice caused by noise in field measurements , author=. Journal of Geophysical Research: Oceans , volume=. 2021 , publisher=

    2021

  30. [30]

    Journal of Physical Oceanography , volume=

    Wave modulation in a strong tidal current and its impact on extreme waves , author=. Journal of Physical Oceanography , volume=. 2024 , publisher=

    2024

  31. [31]

    Journal of Fluid Mechanics , volume=

    Wave scattering by multiple rows of circular ice floes , author=. Journal of Fluid Mechanics , volume=. 2009 , publisher=

    2009

  32. [32]

    Journal of Geophysical Research: Oceans , volume=

    The response of ice floes to ocean waves , author=. Journal of Geophysical Research: Oceans , volume=. 1994 , publisher=

    1994

  33. [33]

    Journal of Geophysical Research: Oceans , volume=

    Direct Observations of Wave-Sea Ice Interactions in the Antarctic Marginal Ice Zone , author=. Journal of Geophysical Research: Oceans , volume=. 2023 , publisher=

    2023

  34. [34]

    Annals of Glaciology , volume=

    Pancake sea ice kinematics and dynamics using shipboard stereo video , author=. Annals of Glaciology , volume=. 2020 , publisher=

    2020

  35. [35]

    Philosophical Transactions of the Royal Society A , volume=

    Wave propagation in the marginal ice zone: connections and feedback mechanisms within the air--ice--ocean system , author=. Philosophical Transactions of the Royal Society A , volume=. 2022 , publisher=

    2022

  36. [36]

    Geophysical Research Letters , volume=

    Wave-driven flow along a compact marginal ice zone , author=. Geophysical Research Letters , volume=. 2021 , publisher=

    2021

  37. [37]

    Journal of Physical Oceanography , author =

    A. Journal of Physical Oceanography , author =. 1996 , note =. doi:10.1175/1520-0485(1996)026<0359:ACSOWI>2.0.CO;2 , number =

    work page doi:10.1175/1520-0485(1996)026 1996

  38. [38]

    Journal of Physical Oceanography , author =

    Wave-. Journal of Physical Oceanography , author =. 2020 , note =. doi:10.1175/JPO-D-20-0151.1 , number =

    work page doi:10.1175/jpo-d-20-0151.1 2020

  39. [39]

    Deep Sea Research and Oceanographic Abstracts , author =

    Wave refraction in ocean currents , volume =. Deep Sea Research and Oceanographic Abstracts , author =. 1971 , pages =. doi:10.1016/0011-7471(71)90006-4 , language =

    work page doi:10.1016/0011-7471(71)90006-4 1971

  40. [40]

    Journal of Physical Oceanography , author =

    Swell. Journal of Physical Oceanography , author =. 2019 , pages =. doi:10.1175/JPO-D-18-0250.1 , language =

    work page doi:10.1175/jpo-d-18-0250.1 2019

  41. [41]

    , year =

    Phillips, Owen M. , year =. The

  42. [42]

    Oceanography , volume=

    An updated assessment of the changing Arctic sea ice cover , author=. Oceanography , volume=. 2022 , publisher=

    2022

  43. [43]

    Journal of Geophysical Research: Oceans , author =

    Effects of the. Journal of Geophysical Research: Oceans , author =. 1991 , note =. doi:10.1029/91JC00901 , language =

    work page doi:10.1029/91jc00901 1991

  44. [44]

    Geophysical Research Letters , author =

    Ocean. Geophysical Research Letters , author =. 2019 , note =. doi:https://doi.org/10.1029/2018GL081029 , language =

    work page doi:10.1029/2018gl081029 2019

  45. [45]

    Journal of Physical Oceanography , author =

    The. Journal of Physical Oceanography , author =. 1979 , note =. doi:10.1175/1520-0485(1979)009<0748:TIOWGS>2.0.CO;2 , number =

    work page doi:10.1175/1520-0485(1979)009 1979

  46. [46]

    Journal of Physical Oceanography , author =

    Intense interactions between ocean waves and currents observed in the. Journal of Physical Oceanography , author =. 2021 , note =. doi:10.1175/JPO-D-20-0290.1 , language =

    work page doi:10.1175/jpo-d-20-0290.1 2021

  47. [47]

    Deep-Sea Res II , author =

    Radiation stresses in water waves; a physical discussion, with applications , volume =. Deep-Sea Res II , author =. 1964 , pages =. doi:10.1016/0011-7471(64)90001-4 , number =

    work page doi:10.1016/0011-7471(64)90001-4 1964

  48. [48]

    Ocean Modelling , volume=

    Resolving regions known for intense wave--current interaction using spectral wave models: A case study in the energetic flow fields of Northern Norway , author=. Ocean Modelling , volume=. 2022 , publisher=

    2022

  49. [49]

    Journal of Geophysical Research: Oceans , volume=

    Small-scale open ocean currents have large effects on wind wave heights , author=. Journal of Geophysical Research: Oceans , volume=. 2017 , publisher=

    2017

  50. [50]

    Geoscientific Model Development , author =

    Ocean wave tracing v.1: a numerical solver of the wave ray equations for ocean waves on variable currents at arbitrary depths , volume =. Geoscientific Model Development , author =. 2023 , note =. doi:10.5194/gmd-16-6515-2023 , language =

    work page doi:10.5194/gmd-16-6515-2023 2023

  51. [51]

    The Dynamics of the Upper Ocean

    Owen M Phillips. The Dynamics of the Upper Ocean. 1977

    1977

  52. [52]

    Scientific Data , volume=

    A dataset of direct observations of sea ice drift and waves in ice , author=. Scientific Data , volume=. 2023 , publisher=

    2023

  53. [53]

    Cold Regions Science and Technology , volume=

    An open source, versatile, affordable waves in ice instrument for scientific measurements in the Polar Regions , author=. Cold Regions Science and Technology , volume=. 2020 , publisher=

    2020

  54. [54]

    Geosciences , volume=

    Openmetbuoy-v2021: An easy-to-build, affordable, customizable, open-source instrument for oceanographic measurements of drift and waves in sea ice and the open ocean , author=. Geosciences , volume=. 2022 , publisher=

    2022

  55. [55]

    Ocean modelling , volume=

    The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model , author=. Ocean modelling , volume=. 2005 , publisher=

    2005

  56. [56]

    2018 , journal=

    CESM CICE5 Users Guide , author=. 2018 , journal=

    2018

  57. [57]

    Monthly Weather Review , volume=

    Characteristics of a convective-scale weather forecasting system for the European Arctic , author=. Monthly Weather Review , volume=. 2017 , publisher=

    2017

  58. [58]

    Journal of Cold Regions Engineering , volume=

    Experimental studies on elastic modulus and flexural strength of sea ice in the Bohai Sea , author=. Journal of Cold Regions Engineering , volume=. 2011 , publisher=

    2011

  59. [59]

    The Nansen Legacy Report Series , number=

    Pc-2 winter process cruise (wpc): Cruise report , author=. The Nansen Legacy Report Series , number=

  60. [60]

    Coastal Engineering Journal , pages=

    Development and testing of microSWIFT expendable wave buoys , author=. Coastal Engineering Journal , pages=. 2023 , publisher=

    2023

  61. [61]

    doi:10.5281/zenodo.8347168 , url =

    Tyler Sutterley , title =. doi:10.5281/zenodo.8347168 , url =

    work page doi:10.5281/zenodo.8347168

  62. [62]

    The Cryosphere , volume=

    Antarctic ice shelf thickness change from multimission lidar mapping , author=. The Cryosphere , volume=. 2019 , publisher=

    2019

  63. [63]

    Howard, S. L. and Padman, L. , title =. doi:https://doi.org/10.18739/A2PV6B79W , url =

    work page doi:10.18739/a2pv6b79w

  64. [64]

    Proceedings of Sentinel-3 for Science Workshop (2-5 June 2015, Venice, Italy) , year=

    Ocean Virtual Laboratory: A new way to explore multi-sensor synergy demonstrated over the Agulhas region , author=. Proceedings of Sentinel-3 for Science Workshop (2-5 June 2015, Venice, Italy) , year=

    2015

  65. [65]

    Journal of Geophysical Research: Oceans , volume=

    The impact of a reduced high-wind Charnock parameter on wave growth with application to the North Sea, the Norwegian Sea, and the Arctic Ocean , author=. Journal of Geophysical Research: Oceans , volume=. 2022 , doi =

    2022

  66. [66]

    2021 Photonics & Electromagnetics Research Symposium (PIERS) , pages=

    Arctic Sea-ice Type Recognition Based on the Surface Wave Investigation and Monitoring Instrument of the China-French Ocean Satellite , author=. 2021 Photonics & Electromagnetics Research Symposium (PIERS) , pages=. 2021 , organization=

    2021

  67. [67]

    Cold Regions Science and Technology , volume=

    A new method for parameterization of wave dissipation by sea ice , author=. Cold Regions Science and Technology , volume=. 2022 , doi =

    2022

  68. [68]

    and Piolle, J.-F

    Dodet, G. and Piolle, J.-F. and Quilfen, Y. and Abdalla, S. and Accensi, M. and Ardhuin, F. and Ash, E. and Bidlot, J.-R. and Gommenginger, C. and Marechal, G. and Passaro, M. and Quartly, G. and Stopa, J. and Timmermans, B. and Young, I. and Cipollini, P. and Donlon, C. , TITLE =. Earth System Science Data , VOLUME =. 2020 , NUMBER =

    2020

  69. [69]

    Journal of Fluid Mechanics , volume=

    Experiments on wave propagation in grease ice: combined wave gauges and particle image velocimetry measurements , author=. Journal of Fluid Mechanics , volume=. 2019 , publisher=

    2019

  70. [70]

    Ocean Modelling , volume =

    Patrik Bohlinger and. Ocean Modelling , volume =. 2019 , issn =. doi:https://doi.org/10.1016/j.ocemod.2019.101404 , url =

    work page doi:10.1016/j.ocemod.2019.101404 2019

  71. [71]

    National Snow and Ice Data Center: Cryosphere and Sea Ice , author=

  72. [72]

    1997 , publisher=

    Earth from above: using color-coded satellite images to examine the global environment , author=. 1997 , publisher=

    1997

  73. [73]

    Phillips, O.M. , year=

  74. [74]

    Advances in Atmospheric Sciences , volume=

    Arctic sea ice and Eurasian climate: A review , author=. Advances in Atmospheric Sciences , volume=. 2015 , publisher=

    2015

  75. [75]

    Global and Planetary Change , volume=

    Role of Arctic sea ice in global atmospheric circulation: A review , author=. Global and Planetary Change , volume=. 2009 , publisher=

    2009

  76. [76]

    Atmosphere , volume=

    Evaluation of Sea Ice Simulation of CAS-ESM 2.0 in Historical Experiment , author=. Atmosphere , volume=. 2022 , publisher=

    2022

  77. [77]

    Cold Regions Science and Technology , volume=

    Wave measurements from ship mounted sensors in the Arctic marginal ice zone , author=. Cold Regions Science and Technology , volume=. 2021 , publisher=

    2021

  78. [78]

    The Cryosphere , volume=

    Floe-size distributions in laboratory ice broken by waves , author=. The Cryosphere , volume=. 2018 , publisher=

    2018

  79. [79]

    The Cryosphere , volume=

    Wave energy attenuation in fields of colliding ice floes--Part 1: Discrete-element modelling of dissipation due to ice--water drag , author=. The Cryosphere , volume=. 2019 , publisher=

    2019

  80. [80]

    The Cryosphere , volume=

    Wave-induced stress and breaking of sea ice in a coupled hydrodynamic discrete-element wave--ice model , author=. The Cryosphere , volume=. 2017 , publisher=

    2017

Showing first 80 references.