Results 231 to 240 of about 9,456 (253)

An improved NASA Scatterometer geophysical model function for tropical cyclones

IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174), 1998
The NASA Scatterometer (NSCAT) has been used to infer ocean surface wind vectors in tropical cyclones, but these measurements have generally under-estimated the high winds. This research provides an improved relationship, between the radar backscatter and the ocean surface wind vector, known as the geophysical model function (GMF).
W.L. Jones, null Jun-Dong Park, W.J. Donnelly, J.R. Carswell, R.E. McIntosh, J. Zec, S. Yueh   +6 more
openaire   +1 more source

Geophysical model functions for the sea state bias in satellite altimetry

Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium, 2002
The sea state bias in altimeter measurements of sea surface height have been investigated by many authors, resulting in several proposed algorithms of the form SSB=/spl epsi/H where H is the significant wave height (SWH) and /spl epsi/ is a non-dimensional function of wind and wave parameters. All known algorithms are presently rated. The most popular,
R.E. Glazman, A. Greysukh, V. Zlotnicki
openaire   +1 more source

Validation of the NSCAT-5 Geophysical Model Function for Scatsat-1 Wind Scatterometer

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Recent developments on the wind geophysical model function (GMF) of Ku-band scatterometers include a sea surface temperature (SST) dependent term. It has been found that the SST effects on the radar backscatter are wind speed dependent and more pronounced in vertical polarization (VV) than in horizontal polarisation (HH) at higher incidence angles, and
Wenming Lin, Marcos Portabella, Ad Stoffelen, Anton Verhoef, Zhixiong Wang   +4 more
openaire   +2 more sources

Study of geophysical model functions for inverse problem of sea surface scattering

2017 11th European Conference on Antennas and Propagation (EUCAP), 2017
In addition to image processing and neural network, inverting the Geophysical Model Functions (GMFs) is one of the most widely used ways to retrieve oceanic parameters, i.e. surface wind speed, temperature, salinity, etc., from Synthetic Aperture Radar (SAR) data. More exact the description of the GMFs is, more accurately the results are obtained.
Tran Vu La, Ali Khenchaf, Fabrice Comblet, Carole Nahum, Helmi Ghanmi   +4 more
openaire   +1 more source

Rain Mitigation for OSCAT Using a Rain Geophysical Model Function

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Benjamin J. Fogg, David G. Long
openaire   +2 more sources

Comparison of empirical and electromagnetic geophysical model function for near-surface wind speed retrieval

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Despite based on different approaches and objectives, it is reasonable to compare near-surface wind speed estimated by the empirical (EP) and electromagnetic (EP) geophysical model function (GMF), since both of them describe the relation between radar scattering and wind vector (directly for EP GMF and via surface roughness spectrum for EM GMF).
Tran Vu La, Ali Khenchaf, Fabrice Comblet, Carole E. Nahum   +3 more
openaire   +1 more source

New Geophysical Model Function for Ocean Emissivity at 89 GHz Over Arctic Waters

IEEE Geoscience and Remote Sensing Letters, 2019
New empirical geophysical model functions (GMFs) have been developed to interpret 89-GHz brightness temperature measurements over cold Arctic seas. Careful data screening is applied to the Advanced Microwave Scanning Radiometer 2 (AMSR2) multifrequency measurements to exclude atmospheric scattering and large absorption impacts, to estimate the 89-GHz ...
Elizaveta V. Zabolotskikh, Bertrand Chapron   +1 more
openaire   +4 more sources

Validation of the advanced scatterometer (ASCAT) high wind geophysical model function

2022
Peer ...
Soisuvarn, S., Jelenak, Zorana, Zhu, Q., Ahmad, K., Chang, Paul, Stoffelen, Ad, Verhoef, Anton, Vogelzang, Jur, Verspeek, Jeroen, Portabella, Marcos   +9 more
openaire   +1 more source

All-Weather Geophysical Model Function for Wind Speed Retrievals from AMSR2

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022
Suleiman Alsweiss, Zorana Jelenak, Paul S. Chang   +2 more
openaire   +1 more source

Ku-band Geophysical Model Functions and SST

2018
Zhixiong Wang, Stoffelen, Ad, Vogelzang, Jur   +2 more
openaire   +1 more source