Results 211 to 220 of about 1,993,303 (277)

Multilayer Fusion Recurrent Neural Network for Sea Surface Height Anomaly Field Prediction

IEEE Transactions on Geoscience and Remote Sensing, 2022
Sea surface height anomaly (SSHA) is vitally important for climate and marine ecosystems. This paper develops a multi-layer fusion recurrent neural network (MLFrnn) to achieve an accurate and holistic prediction of the SSHA field, given only as a series of past SSHA observations.
Yuan Zhou, Chang Lu, Keran Chen, Xiaofeng Li   +3 more
openaire   +2 more sources

A numerical investigation on height anomaly prediction in mountainous areas

Bulletin Géodésique, 1995
This paper provides numerical examples for the prediction of height anomalies by the solution of Molodensky's boundary value problem. Computations are done within two areas in the Canadian Rockies. The data used are on a grid with various grid spacings from 100 m to 5 arc-minutes.
Ye Cai Li, Michael G. Sideris, Klaus-Peter Schwarz   +2 more
openaire   +2 more sources

Deformation and height anomaly of soft surfaces studied with an AFM

Nanotechnology, 1993
The authors have measured the force-versus-indentation curves of different elastomers (polyurethane), rubber, cartilage, and living cells and deduced a parabolic tip shape from these curves. They have also calculated the radius of curvature of the AFM tip to be 50-100 nm. The calculated ranges of the local Young's moduli E are 0.6-2.4 MPa for rubber, 0.
Weisenhorn, A., Khorsandi, M., Kasas, S., Gotzos, V., Butt, H.   +4 more
openaire   +3 more sources

Dynamic height anomaly from Argo profiles and sea-level anomaly from satellite altimetry: a comparative study in the Indian Ocean

International Journal of Remote Sensing, 2011
Altimeter-derived sea-level anomaly SLA has been compared with Argo-derived dynamic height anomaly DHA in the Indian Ocean. The anomalies have been found to agree quite well in the region above 10°S. The agreement is improved when climatological salinity is replaced by Argo salinity.
George, S., Sharma, R., Agarwal, N., Basu, S., Sarkar, A.   +4 more
openaire   +3 more sources

The determination of height anomaly by satellitic methodes

Geodesy and Cartography, 2016
V.N. Balandin, I.V. Menchikov, Yu.G. Firsov, A.I. Efanov   +3 more
openaire   +2 more sources

The most sensitive initial error of sea surface height anomaly forecasts and its implication for target observations of mesoscale eddies

Journal of Physical Oceanography, 2022
We used the conditional nonlinear optimal perturbation (CNOP) approach to investigate the most sensitive initial error of sea surface height anomaly (SSHA) forecasts by using a two-layer quasigeostrophic model and revealed the importance of mesoscale ...
Lin Jiang, W. Duan, Hailong LIUa
semanticscholar   +1 more source

HEIGHT ANOMALIES DETERMINED BY THREE DIFFERENT GOCO MODELS

SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings, 2019
This paperwork is dedicated to the research of the quality of height anomalies derived from the Global Geopotential Models GOCO over the Serbia territory. Three different types of approaches for the same model were considered: time wise, space wise and direct approach.
Joksimović, Danilo, Stanković, Marko, Marković, Miloš, Petković, Dušan, Odalović, Oleg   +4 more
openaire   +3 more sources

Mid-Term Simultaneous Spatiotemporal Prediction of Sea Surface Height Anomaly and Sea Surface Temperature Using Satellite Data in the South China Sea

IEEE Geoscience and Remote Sensing Letters, 2020
Marine forecasting techniques based on data-driven method generally treat each variable as independent and analyze the time series of a single and specific variable, while the real marine environment is the result of the interaction of multiple variables.
Qidong Shao, Wei Li, Guangchao Hou, G. Han, Xiaobo Wu   +4 more
semanticscholar   +1 more source

Anomaly of the height-height correlation functions in self-flattening surface growth

Physical Review E, 2003
By Monte Carlo simulations and scaling theories, we consider the height-height correlation function G(r,t;L) of the one-dimensional equilibrium self-flattening surface growths, where the deposition (evaporation) attempt only at the globally highest (lowest) site is suppressed.
H-C, Jeong, J M, Kim, H, Choi, Yup, Kim
openaire   +2 more sources