Results 111 to 120 of about 27,633 (255)

“Caterpillar” ULF Waves in the Dusk Side Sub‐Auroral Region: Conjugate Observations With SuperDARN, Arase and Ground Magnetometers

Journal of Geophysical Research: Space Physics, Volume 131, Issue 5, May 2026.
Abstract On 23 November 2022, during exceptionally quiet geomagnetic conditions, a distinct ultra‐low frequency (ULF) wave in the Pc5 band (∼2.4 mHz) was observed in the duskside sub‐auroral region by two Canadian SuperDARN (Super Dual Auroral Radar Network) radars.
N. Nishitani, K. Hosokawa, T. Hori, M. Teramoto, P. V. Ponomarenko, A. Shinbori, Y. Obana, A. S. Yukimatu, G. Hussey, Y. Miyoshi, A. Matsuoka, A. Kumamoto, F. Tsuchiya, S. Matsuda, Y. Kasahara, S. Nakamura, I. Shinohara, Y. Zhang, L. Paxton   +18 more
wiley   +1 more source

Characterization of Mass Wasting Events on Lunar Maria Using Mini‐RF Radar Observations

Journal of Geophysical Research: Planets, Volume 131, Issue 5, May 2026.
Abstract Evidence of mass wasting has been observed on the Moon since at least the Apollo era. Surface features indicative of mass wasting processes are traditionally characterized geomorphologically using visible images. In this study, we aim to better understand mass wasting features via their radar properties, which can provide insights into the ...
S. L. Pérez‐Cortés, A. M. Bramson, E. G. Rivera‐Valentín, C. A. Nypaver, G. W. Patterson, A. K. Virkki, P. A. Taylor, R. Melikyan   +7 more
wiley   +1 more source

Estimating Stem Water Content From Tower-Based L-Band Tomographic Radar Using a Single-Scattering Model of a Uniform Layer: A First in Situ Experiment

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Spaceborne synthetic aperture radar missions have the potential to estimate forest vegetation water content (VWC), but understanding the underlying scattering processes and their link to VWC is still limited.
Theresa Leistner, Albert R. Monteith, Jose Gutierrez Lopez, Lars M. H. Ulander   +3 more
doaj   +1 more source

Signal processor architecture for backscatter radars [PDF]

, 1983
Real time signal processing for backscatter radars which requires computational throughput and I/O rates is discussed. The operations that are usually performed in real time are highly repetitive simple accumulations of samples or of products of samples.
Johnston, P., Swartz, W. E.
core   +1 more source

Tracking Water Dynamics of a Temperate Forest Under Drought and Non‐Drought Conditions Using Active and Passive Microwave and Optical Remote Sensing

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 5, May 2026.
Abstract Water status, water dynamics, and ecohydrological resilience of a protected German beech forest during the 2018–2020 multi‐year drought are assessed using over six years of multi‐frequency remote sensing data, integrating active, passive, and optical sensors with varying canopy penetration depths, highlighting the importance of monitoring ...
Florian M. Hellwig, Anke Fluhrer, Clémence Dubois, Konstantin Schellenberg, David Chaparro, Markus Zehner, Anne Klosterhalfen, María Piles, Christiane Schmullius, Harald Kunstmann, Thomas Jagdhuber   +10 more
wiley   +1 more source

Radar backscatter and forest biomass [PDF]

Nature Climate Change, 2012
S. Englhart, V. Keuck, F. Siegert
openaire   +1 more source

Enhancing Regional Ensemble‐Variational Data Assimilation for Convection‐Permitting Prediction With Combination of the Dual‐Localization and Scales Blending of Global and Regional Ensembles

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract This study proposes a new scheme combining ensemble blending and dual‐localization of ensemble error covariance in an ensemble‐variational (EnVar) framework to better account for both the multi‐scale characteristics of the background and background error covariance for high‐resolution data assimilation and forecasting.
Yuanbing Wang, Xinyao Qian, Yaodeng Chen, Xin Li, Jinzhong Min, Yaxin Deng   +5 more
wiley   +1 more source

Soil moisture estimation underneath crop cover using high incidence angle C-band Sentinel-1 SAR data

Kuwait Journal of Science
SAR's return signal sensitivity to dielectric constant and penetration through vegetation makes it ideal for large-scale soil moisture studies. High incidence angle SAR data is especially useful for understanding crop characteristics.
Hari Shanker Srivastava, Thota Sivasankar, Madhuri Dilip Gavali, Parul Patel   +3 more
doaj   +1 more source

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

From Rainfall to Rumors: Interpreting the 2024 Bangladesh Floods Through Numbers, Narratives, and Information Gaps

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract When severe floods struck southeastern Bangladesh in August 2024, competing explanations emerged. Meteorological analysis revealed that extreme precipitation was exacerbated by the Madden‐Julian Oscillation and jet stream dynamics. However, alternative narratives proliferated on social media, particularly claims that India deliberately ...
P. Das, A. R. Ganguly, N. Rabb, K. Smith, S. Islam   +4 more
wiley   +1 more source