Results 41 to 50 of about 365 (171)
Abstract Accurate rainfall information underpins land‐surface water budgets, extreme‐weather analyses, and climate‐model evaluation. Yet in many regions, rain gauge networks are sparse, making conventional calibration of bottom up rainfall products difficult. To address this, we propose a self calibration framework that removes the need for a dedicated
Mohammad Saeedi +4 more
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
Monitoring Flood Inundation Dynamics From Space
Abstract With the increasing intensity and frequency of flood events worldwide, the need for accurate and timely inundation mapping has never been more critical. Large‐scale flood extent estimations are vital for coordinating effective disaster response, facilitating recovery, and building future resilience.
C. Campo +5 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
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
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
Cyclone Global Navigation Satellite System (CyGNSS) data are widely recognized for their sensitivity to inland water bodies. However, the detection of water bodies using single CyGNSS data is subject to uncertainties, presenting challenges for large ...
Yuhan Chen, Qingyun Yan
doaj +1 more source
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
Distribution of Plastics of Various Sizes and Densities in the Global Ocean From a 3D Eulerian Model
Abstract We study the global transport and distribution of microplastics (MPs) using a three‐dimensional Eulerian model. For the first time, the effects of both particle size and density are accounted for, influencing the vertical transport of MPs, and leading to an advanced understanding of their global distribution.
Zih‐En Tseng +5 more
wiley +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

