Results 51 to 60 of about 985 (191)

Temporal-Spatial Soil Moisture Estimation from CYGNSS Using Machine Learning Regression with a Pre-Classification Approach [PDF]

, 2021
Global Navigation Satellite System-Reflectometry (GNSS-R) can retrieve Earth's surface parameters, such as soil moisture (SM) using the reflected signals from GNSS constellations with advantages of non-contact, all-weather, real-time, and continuity ...
Y. Jia, S. Jin, Y. Yuan, Q. Yan, Y. Jin, P. Savi, H. Chen   +6 more
core   +1 more source

Evaluation of the Ocean Surface Wind Speed Change following the Super Typhoon from Space-Borne GNSS-Reflectometry

Remote Sensing, 2020
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

Sensitivity of Tropical Cyclone Forecasts to the Loss of Low Earth Orbit Satellite Observations

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
Abstract Tropical cyclones are among the most destructive natural hazards, impacting millions of people worldwide each year. Accurate and timely forecasts are therefore essential for effective preparedness and risk mitigation. Forecast skill depends on both the performance of numerical weather prediction models and the observations assimilated into the
Isaac Moradi, Satya Kalluri, Vijay Tallapragada, Yanqiu Zhu   +3 more
wiley   +1 more source

Comparing ASCAT and CYGNSS Winds near Tropical Convection [PDF]

, 2019
Gradient Features identified in ASCAT (Advanced Scatterometer) data correspond well to observed CYGNSS (Cyclone Global Navigation Satellite System) wind shifts: Comparing ASCAT and CYGNSS winds near tropical convection.
Lang, Timothy, Nesbitt, Steve, Garg, Piyush, Priftis, George   +3 more
core  

Introducing Reflected GNSS TEC Data Into ANCHOR Ionospheric Data Assimilation Model

Space Weather, Volume 24, Issue 5, May 2026.
Abstract ANCHOR is a novel data assimilation (DA) algorithm developed at the U.S. Naval Research Laboratory to improve ionospheric nowcasting by increasing accuracy and decreasing computational cost. As a parameterized DA model, ANCHOR represents the ionosphere using physical parameters such as the F2 layer peak (Nm $Nm$F2), which characterizes a ...
Brenna Royersmith, Victoriya V. Forsythe, Brian Breitsch, Meghan R. Burleigh, Kate A. Zawdie, Y. Jade Morton   +5 more
wiley   +1 more source

Depth‐Aware Global Calibration of SM2RAIN‐NWF Using Growing Neural Gas‐Derived Hydroclimatic Clusters Across Heterogeneous Soils

Water Resources Research, Volume 62, Issue 4, April 2026.
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, Subin Kim, Euiyoung Choi, Hyunglok Kim, Venkataraman Lakshmi   +4 more
wiley   +1 more source

Monitoring Flood Inundation Dynamics From Space

Reviews of Geophysics, Volume 64, Issue 1, March 2026.
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, P. Tamagnone, S. Choy, T. D. Tran, G. J.‐P. Schumann, Y. Kuleshov   +5 more
wiley   +1 more source

Unlocking the potential of CYGNSS for pan-tropical inland water mapping through multi-source data and transformer

International Journal of Applied Earth Observations and Geoinformation
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

Satellite‐Based Estimation of Near‐Surface Specific Humidity During Tropical Cyclones in the Western North Pacific and North Atlantic

Geophysical Research Letters, Volume 53, Issue 4, 28 February 2026.
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

The Indian Ocean–Land–Atmosphere (IOLA)‐Coupled Mesoscale Prediction Framework for Inland Severe Weather and Coastal Hazards Forecasting

Meteorological Applications, Volume 33, Issue 1, January/February 2026.
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, Krishna K. Osuri, Dev Niyogi, Sudheer Joseph, Shyama Mohanty, Yerni Srinivas Nekkali, Sasanka Talukdar, N. D. Manikanta, Imamah Ali, Ghassan Alaka, Ananda Das, Raghu Nadimpalli, Akhil Srivastava, Srinivas Kumar Tummala, T. M. Balakrishnan Nair, M. Mohapatra, V. S. Prasad, A. Suryachandra Rao, U. C. Mohanty, R. Krishnan, Frank Marks, M. Ravichandran   +21 more
wiley   +1 more source