Results 41 to 50 of about 562,555 (164)

Coastal altimetry

, 2011
Table of contents Preface.- Chapter 1: Altimetry Missions: past, present and future.- Chapter 2: From Research to Operations: The USDA Global Reservoir and Lake Monitor.- Chapter 3: User requirements in the coastal ocean for satellite altimetry ...

core   +6 more sources

Can satellite altimetry observe coastally trapped waves on sub-monthly timescales? [PDF]

Ocean Science
Coastally trapped waves (CTWs) are a major cause of sub-seasonal coastal sea level variability. While they have mostly been studied using numerical models, observational evidence is limited due to the sparse spatial coverage of the tide gauge network and
M. Passaro
doaj   +1 more source

The downward legacy of a phytoplankton bloom in the oligotrophic North Pacific Subtropical Gyre

Limnology and Oceanography, Volume 71, Issue 10, October 2026.
Abstract Ocean particles are a heterogeneous collection, including living and dead cells, feces, mucus‐rich aggregates, and mineral shells and frustules. In the well‐lit upper ocean, phototrophic processes fuel production of particulate matter; however, only a relatively small percentage (< 10% per day) of this material (mostly detrital) escapes the ...
Angelicque E. White, Matthew J. Church, Hanna Anderson, Benedetto Barone, Karin M. Björkman, David A. Caron, Edward F. DeLong, Sonya T. Dyhrman, Rhea Foreman, Catherine Garcia, Eric Grabowski, Sheean T. Haley, Fernanda Henderikx Freitas, Andrew J. Hirzel, Reece James, Isha Kalra, Fuyan Li, Lauren Manck, Daniel Muratore, John C. Tracey, Kendra Turk‐Kubo, David M. Karl   +21 more
wiley   +1 more source

Controls on ERS altimeter measurements over ice sheets: Footprint-scale topography, backscatter fluctuations, and the dependence of microwave penetration depth on satellite orientation [PDF]

, 2001
We consider the reliability of radar altimeter measurements of ice sheet elevation and snowpack properties in the presence of surface undulations. We demonstrate that over ice sheets the common practice of averaging echoes by aligning the first return ...
Wingham, DJ, Arthern, RJ, Ridout, AL
core  

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, Volume 43, Issue 7, Page 4382-4401, October 2026.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source

A Regional Intercomparison of Ice Sheet Mass Balance Estimates of the Northwest Greenland Ice Sheet

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 10, October 2026.
Abstract Changes in ice sheet mass manifest as changes in ice flow, ice thickness, and gravitational attraction. These parameters can be measured from space and used to track Greenland's contribution to sea level rise independently from each other. While an excellent level of agreement between these satellite techniques has been demonstrated at the ice
Inès N. Otosaka, Andrew Shepherd, Andreas Groh, Thorben Döhne, Xavier Fettweis, Brice Noël   +5 more
wiley   +1 more source

Use of the 3D radon transform to examine the properties of oceanic Rossby waves [PDF]

, 2001
One of the most successful applications of satellite-borne radar altimeter data over the oceans in recent years has been the extraction of information about long-wavelength baroclinic Rossby (or planetary) waves, which play a significant role in ocean ...
Delahaye, Jean-Yves, Lachaud, Guy, O'Brien, Todd, Stoffelen, Ad, A. C. McMillan, Gould, W.J., Makkonen, Lasse, Luce, Hubert, Hines, A., Durry, Georges, Quartly, G.D., Costa, Daniel P., Eymard, Laurence, Lehtonen, Pertti, Lemmin, Ulrich, Fukao, S., Lyard, F, Killworth, P.D., Hurther, David, Dupuis, Hélène, Levitus, Syd, Rey, Laurent, Cipollini, P., Yamamoto, M., Sidi, Claude, Boehlert, George W., Guérin, Christine, Le Boeuf, Burney J., Branger, Hubert, Challenor, P.G., Hauser, Danièle, McMillan, A.C., Weill, Alain, S. Crewell, Centurioni, L.R., Le Prevost, C, Crewell, S., Macke, Andreas, Vinson, Jean-Paul, Lavergnat, Jacques, Portabella, Marcos, Srokosz, M.A., Crocker, Daniel E., A. Macke, Ponchaut, F, Pouchet, Ivan, U. Löhnert, Green, Phaedra, Soussi, Elbatoul, Thouvenot, Eric, G. D. Quartly, Helle, Lauri, M. A. Srokosz, Dalaudier, Francis, C. Simmer, Cromwell, D., Bacon, S., Simmer, C., Löhnert, U., Knuteson, R. O, Cornillon, Peter C., Reetz, T., Dhanak, Manhar R, Kottmeier, C., Minnett, P. J, Watts, D. Randolph, Van Leer, John, Kalthoff, N., Shay, Lynn K, Best, F. A, Hanafin, J. A, Ruppert, P., Wieser, A., Osborne, B. J, Corsmeier, U., Fiedler, F., Tracey, Karen L., Junkermann, W., Smith, Samuel, Willemsen, Jorge F, Brown, O. B, Qian, Xiaoshu, Alfultis, Michael A., An, Edgar   +83 more
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Determination of Earth's Static Gravity Field Using Quantum Gravity Satellites at Very Low Earth Orbit

Earth and Space Science, Volume 13, Issue 10, October 2026.
Abstract Very Low Earth Orbit (VLEO) satellite platforms and quantum‐optical sensing technologies may provide new observation approaches for improving Earth's static gravity field models. This study conceptually assesses their potential contribution through a two‐tier closed‐loop simulation framework.
Wenming Chen, Hao Zhou, Yanbin Zhao, Zhu Zhu, Shuyun Zheng, Zhicai Luo, Zebing Zhou   +6 more
wiley   +1 more source

Satellite Altimetry for Earth Sciences [PDF]

, 2019
Satellite altimetry is a radar technique for measuring the topography of the Earth’s surface. It was initially designed for measuring the ocean’s topography, with reference to an ellipsoid, and for the determination of the marine geoid.
Lebedev, Sergey, Andersen, Ole, Frappart, Frédéric, Ramillien, Guillaume   +3 more
core   +1 more source

Enhancing Significant Wave Height Simulations Using Distribution‐Aware Deep Learning and Environmental Predictors

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Numerical wave models are widely used for wave forecasting and hindcast data set construction; however, their outputs frequently exhibit systematic biases stemming from uncertainties in wind forcing, physical parameterizations, and bathymetry. To address this issue, a deep learning–based bias correction approach is applied to significant wave ...
Jiageng Han, Shuiqing Li, Delei Li, Yong Fang, Zongyu Li, Jialin Liu, Po Hu   +6 more
wiley   +1 more source