Results 51 to 60 of about 1,430 (223)
Abstract The near‐surface specific humidity is critical for accurately estimating the enthalpy flux from the ocean, which plays an important role in tropical cyclone intensification. However, under the severe oceanic and atmospheric conditions of these storms, even spaceborne microwave radiometers struggle to retrieve reliable humidity data.
Hiroyuki Tomita, Akiyoshi Wada
wiley +1 more source
Ocean surface wind speed is an essential parameter for typhoon monitoring and forecasting. However, traditional satellite and buoy observations are difficult to monitor the typhoon due to high cost and low temporal-spatial resolution.
Hongsu Liu, Shuanggen Jin, Qingyun Yan
doaj +1 more source
Evaluating Impact of Rain Attenuation on Space-borne GNSS Reflectometry Wind Speeds [PDF]
The novel space-borne Global Navigation Satellite System Reflectometry (GNSS-R) technique has recently shown promise in monitoring the ocean state and surface wind speed with high spatial coverage and unprecedented sampling rate.
Asgarimehr, Milad +2 more
core +1 more source
For seamless prediction of severe weather across scales, we developed the Indian Ocean–Land–Atmosphere (IOLA) Coupled Regional Prediction System. Extensive testing demonstrates that IOLA significantly improves predictions, particularly for monsoon‐driven heavy rainfall and coastal hazards.
Sundararaman Gopalakrishnan +21 more
wiley +1 more source
Wind Speed Estimation From CYGNSS Using Artificial Neural Networks
In this article, a retrieval algorithm based on the use of an artificial neural network (ANN) is proposed for wind speed estimations from cyclone global navigation satellite system (CYGNSS).
Jennifer Reynolds +2 more
doaj +1 more source
The NASA CYGNSS SmallSat Constellation
The NASA Cyclone Global Navigation Satellite System (CYGNSS) is a constellation of eight microsatellites in low earth orbit at ~525 km altitude and 35 deg inclination. CYGNSS was launched in December 2016 for a planned 2 year mission and 7 of the 8 spacecraft continue to operatue nominally as of May 2023.
Ruf, Christopher +4 more
openaire +1 more source
Evaluation of Spaceborne GNSS-R Retrieved Ocean Surface Wind Speed with Multiple Datasets
Spaceborne Global Navigation Satellite Systems-Reflectometry (GNSS-R) can estimate the geophysical parameters by receiving Earth’s surface reflected signals. The CYclone Global Navigation Satellite System (CYGNSS) mission with eight microsatellites
Zhounan Dong, Shuanggen Jin
doaj +1 more source
Sea target detection using spaceborne GNSS-R delay-doppler maps: theory and experimental proof of concept using TDS-1 data [PDF]
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Camps Carmona, Adriano José +3 more
core +2 more sources
Abstract Flooding events are a major contributor to natural disasters across the global tropics. However, reliable flood data are sparse, which limits our ability to understand flood dynamics across spatial and temporal scales. Here, data from the CYGNSS SmallSat constellation are utilized to identify small‐ to regional‐scale flooding events in Sumatra.
Zofia Baldysz +4 more
wiley +1 more source
First Evaluation of Topography on GNSS-R: An Empirical Study Based on a Digital Elevation Model
Understanding the effects of Earth’s surface topography on Global Navigation Satellite Systems Reflectometry (GNSS-R) space-borne data is important to calibrate experimental measurements, so as to provide accurate soil moisture content (SMC ...
Hugo Carreno-Luengo +2 more
doaj +1 more source

