High-resolution offshore wind resource assessment at turbine hub height with Sentinel-1 synthetic aperture radar (SAR) data and machine learning [PDF]
This paper presents a method for estimating offshore extractable wind power at hub height using Sentinel-1 synthetic aperture radar (SAR) data and machine learning.
L. de Montera +5 more
doaj +1 more source
Improved global sea surface height and current maps from remote sensing and in situ observations [PDF]
We present a new gridded sea surface height and current dataset produced by combining observations from nadir altimeters and drifting buoys. This product is based on a multiscale and multivariate mapping approach that offers the possibility to improve ...
M. Ballarotta +9 more
doaj +1 more source
Influence of oceanic conditions in the energy transfer efficiency estimation of a micronekton model [PDF]
Micronekton – small marine pelagic organisms around 1–10 cm in size – are a key component of the ocean ecosystem, as they constitute the main source of forage for all larger predators.
A. Delpech +5 more
doaj +1 more source
SARAL’s Full Mission Reprocessing: Improvement with the GDR-F Standard
Seven years (2013–2019) of the French/Indian mission SARAL altimetry data have been successfully reprocessed within the SALP contract supported by CNES to produce a new data set of GDR (Geophysical Data Record) using an updated, modern set of algorithms ...
Ghita Jettou +4 more
doaj +1 more source
On the resolutions of ocean altimetry maps [PDF]
The Data Unification and Altimeter Combination System (DUACS) produces sea level global and regional maps that serve oceanographic applications, climate forecasting centers, and geophysics and biology communities.
M. Ballarotta +10 more
doaj +1 more source
It is essential to monitor accurately current sea level changes to better understand and project future sea level rise (SLR). This is the basis to support the design of adaptation strategies to climate change.
Jean-François Legeais +7 more
doaj +1 more source
KaRIn Noise Reduction Using a Convolutional Neural Network for the SWOT Ocean Products
The SWOT (Surface Water Ocean Topography) mission will provide high-resolution and two-dimensional measurements of sea surface height (SSH). However, despite its unprecedented precision, SWOT’s Ka-band Radar Interferometer (KaRIn) still exhibits a ...
Anaëlle Tréboutte +5 more
doaj +1 more source
Simultaneous estimation of ocean mesoscale and coherent internal tide sea surface height signatures from the global altimetry record [PDF]
This study proposes an approach to estimate the ocean sea surface height signature of coherent internal tides from a 25-year along-track altimetry record, with a single inversion over time, resolving both internal tide contributions and mesoscale eddy ...
C. Ubelmann +8 more
doaj +1 more source
Towards an Open Source Localisation Orchestration Framework
This paper describes the design and implementation of a novel environment for the inter-connectivity of distributed localisation components - both open source and proprietary - in response to the scarcity of relevant research in this area, as we view ...
Asanka Wasala +2 more
doaj +1 more source
Data-Driven Calibration Algorithm and Pre-Launch Performance Simulations for the SWOT Mission
The Surface Water and Ocean Topography (SWOT) mission will be affected by various sources of systematic errors, which are correlated in space and in time. Their amplitude before calibration might be as large as tens of centimeters, i.e., able to dominate
Gérald Dibarboure +9 more
doaj +1 more source

