Results 281 to 290 of about 7,279,413 (322)

Performance of ICP-TOF-MS for ultra-trace element analyses in ice cores.

J Anal At Spectrom
Münster TS, Jenk TM, Eichler A, Lee G, Schwikowski M.   +4 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Impact of intermediate ice concentration training data on sea ice concentration estimates from a convolutional neural network

International Journal of Remote Sensing, 2019
ABSTRACTConvolutional neural networks (CNNs) are being used increasingly for classification and regression tasks in remote sensing.
Yan Xu, K. Andrea Scott
openaire   +2 more sources

Calibration of Uncertainty in Sea Ice Concentration Retrieval With an Auxiliary Prediction Interval Estimator

IEEE Geoscience and Remote Sensing Letters, 2023
Bayesian neural networks (BNNs) have been demonstrated to be effective in accurate retrieval of sea ice concentration (SIC) from multisource data, while providing estimates of uncertainty, which are essential for downstream services. However, uncertainty
Xinwei Chen, Ray Valencia, A. Soleymani, K. A. Scott, Linlin Xu, David A Clausi   +5 more
semanticscholar   +1 more source

A data-driven deep learning model for weekly sea ice concentration prediction of the Pan-Arctic during the melting season

IEEE Transactions on Geoscience and Remote Sensing, 2022
This study proposes a purely data-driven model for the weekly prediction of daily sea ice concentration (SIC) of the Pan-Arctic (90N, 45N, 180E, 180W) during the melting season.
Yibin Ren, Xiaofeng Li, Wenhao Zhang
semanticscholar   +1 more source

Enhanced Arctic Ice Concentration Estimation Merging MODIS Ice Surface Temperature and SSM/I Sea-Ice Concentration

Atmosphere-Ocean, 2014
AbstractIce concentration data from passive microwave sensors are not reliable during the summer melt season. In this study passive microwave ice concentration estimates are improved upon through the assimilation of ice surface temperature data from the Moderate-Resolution Imaging Spectroradiometer (MODIS).
Wenxia Tan, K. Andrea Scott, Ellsworth LeDrew   +2 more
openaire   +1 more source

Retrieving Ice Concentration From SMOS

IEEE Geoscience and Remote Sensing Letters, 2011
The Soil Moisture and Ocean Salinity (SMOS) Ice project explored the potential of retrieving sea-ice information from the SMOS satellite, a polar-orbiting L-band radiometer successfully launched in November 2009. Toward this end, radiance measurements were collected over the Northern Baltic during the Pol-Ice campaign.
Peter Mills, Georg Heygster
openaire   +1 more source

Assimilation of Ice Concentration in an Ice–Ocean Model

Journal of Atmospheric and Oceanic Technology, 2006
Abstract Ice concentration is a critical parameter of the polar marine environment because of the large effect sea ice has on the surface albedo and heat exchange between the atmosphere and the ocean. Simulations of the energy exchange processes in models would benefit if the ice concentration were represented more accurately. Reanalysis
J. Zhang, R. W. Lindsay
openaire   +1 more source

Ice Particle Concentrations in Clouds

Journal of the Atmospheric Sciences, 1985
Abstract Measurements and observations have been made on the development of ice in 90 cumulus (cumulus and cumulonimbus) and 72 stratiform (altocumulus, altostratus, nimbostratus, stratocumulus, and stratus) clouds. Ice particle concentrations significantly in excess of those to be expected from ice nucleus measurements (i.e., ice enhancement) were ...
Peter V. Hobbs, Arthur L. Rangno
openaire   +1 more source

Improving short-term sea ice concentration forecasts using deep learning

The Cryosphere
. Reliable short-term sea ice forecasts are needed to support maritime operations in polar regions. While sea ice forecasts produced by physically based models still have limited accuracy, statistical post-processing techniques can be applied to reduce ...
C. Palerme, Thomas Lavergne, Jozef Rusin, Arne Melsom, Julien Brajard, Are Frode Kvanum, Atle Macdonald Sørensen, Laurent Bertino, Malte Müller   +8 more
semanticscholar   +1 more source

Estimating Sea Ice Concentration From SAR: Training Convolutional Neural Networks With Passive Microwave Data

IEEE Transactions on Geoscience and Remote Sensing, 2019
Historically, sea ice concentration (SIC) has been measured through the use of passive microwave sensors, as well as human interpretation of synthetic aperture radar (SAR). Although passive microwave data are processed automatically, it suffers from poor
Colin L. Cooke, K. A. Scott
semanticscholar   +1 more source