Results 111 to 120 of about 85,904 (293)
Nonlinear black-box approaches and data fusion for ocean bathymetry modeling in south Iran
The detailed knowledge of bathymetry pattern represents a key factor in the deep understanding of ocean processes, physical oceanography, biology, ecohydraulics, and marine geology. However, the accuracy of bathymetry modeling is still low from satellite
M. A. Mohammad +3 more
doaj +1 more source
The southern oceans of the world have not been well surveyed generally, in contrast with oceans of the northern hemisphere. Data from the relatively new Seasat, which is a radar altimeter flown on a satellite platform, has recently provided bathymetric estimates for the southern oceans (Nature, 304, 407, 1983).
openaire +1 more source
The relationship between the climate and societal transformation in Maya lowlands has long been debated, particularly the role of drought in shaping the civilization trajectory during the Classic Period. A high‐resolution, multi‐proxy, geochemical record from Lake Kaná, located in the underexplored Uaymil region of the Yucatán Peninsula in Mexico ...
Haydar B. Martinez‐Dyrzo +5 more
wiley +1 more source
Long-term and large-scale modeling of mega-nourishments [PDF]
The Sand Engine, ZM (Zandmotor), is a hook-shaped mega-nourishment (21.5 millions m³) located on the Dutch coast with an alongshore length of 2.4 km and an offshore extension of 1 km.
Arriaga García, Jaime Alonso +4 more
core
Understanding the course and dynamics of ancient river systems, such as the pre‐Odra, provides valuable insights into the post‐glacial evolution of landscapes and riverine processes. The northwest‐trending pre‐Odra was an important drainage system of the European mainland into the Baltic Basin during and after the Scandinavian Ice Sheet retreat ...
Maryse C. Schmidt +4 more
wiley +1 more source
Abstract The design of experiments to investigate the combined effects of multiple stressors requires exposing target organisms to multiple combinations of stressor doses. Concurrent manipulation of stressors is often infeasible with wildlife, but long‐lasting health effects allow individual health to be used as an integrator of prior stressor exposure.
Enrico Pirotta +24 more
wiley +1 more source
Band Weight-Optimized BiGRU Model for Large-Area Bathymetry Inversion Using Satellite Images
Currently, using satellite images combined with deep learning models has become an efficient approach for bathymetry inversion. However, only limited bands are usually used for bathymetry inversion in most methods, and they rarely applied for large-area ...
Xiaotao Xi, Gongju Guo, Jianxiang Gu
doaj +1 more source
Effective coastal boundary conditions for dispersive tsunami propagation [PDF]
We aim to improve the techniques to predict tsunami wave heights along the coast. The modeling of tsunamis with the shallow water equations has been very successful, but is somewhat simplistic because wave dispersion is neglected.
Bokhove, O. +2 more
core +2 more sources
Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca +23 more
wiley +1 more source
High Resolution Current & Bathymetry Determined by Nautical X-Band Radar in Shallow Waters [PDF]
The wave and current monitoring system WaMoS II is a remote sensing system based on a nautical X-Band radar generally used for navigation and ship traffic control.
Bell, Paul S., Hessner, Katrin
core

