Results 131 to 140 of about 6,256 (242)
Abstract The planetary boundary layer (PBL) is the portion of the troposphere that is directly influenced by the presence of the Earth's surface. The thermodynamic structure of this layer exhibits a wide variety of characteristics across the globe. In 2018 the National Academies of Sciences, Engineering, and Medicine Space Studies Board recommended ...
M. L. Loveless +3 more
wiley +1 more source
Abstract The representation of low clouds and precipitation remains a major source of uncertainty in Earth System Models (ESMs), particularly due to challenges in representing their sub‐grid variability and scale‐dependent sampling. This study evaluates the performance of preliminary simulations from the Large‐Eddy Simulation (LES) Atmospheric ...
Jiakun Liang +6 more
wiley +1 more source
A Detachable Integrated 183 GHz Terahertz Low-Noise Amplifying and Mixing Frontend. [PDF]
Zheng Q, Meng J, Wang L, Wang Z.
europepmc +1 more source
Abstract Accurately estimating Snow Water Equivalent (SWE) in glacierized regions is critical for glacier modeling and mass balance analysis yet remains challenging due to sparse observations and uncertainties in precipitation products. The objectives are twofold: (a) assess how well three widely used precipitation datasets—Stage IV (a radar–gauge ...
Yang Song, Ali Behrangi
wiley +1 more source
Hybrid Intelligent Nonlinear Optimization for FDA-MIMO Passive Microwave Arrays Radar on Static Platforms. [PDF]
Zhang Y, Li W, Yang B, Zhu C, Dong K.
europepmc +1 more source
Abstract Past evaluation of artificial intelligence (AI) weather prediction has primarily relied on reanalyses, which can obscure important deficiencies due to prevailing biases in reanalyses themselves. Here, we present MAUSAM (Measuring AI Uncertainty during South Asian Monsoon), an evaluation of seven leading AI‐based prediction systems—FourCastNet,
Aman Gupta, Aditi Sheshadri, Dhruv Suri
wiley +1 more source
Combined Use of Microwave Sensing Technologies and Artificial Intelligence for Biomedical Monitoring and Imaging. [PDF]
Martínez-Lozano A +4 more
europepmc +1 more source
Disentangling Internal Tides From Balanced Motions With Deep Learning and Surface Field Synergy
Abstract A fundamental challenge in ocean dynamics is disentangling balanced motions and internal waves. Extracting internal tidal (IT) imprints from surface data is a central part of this challenge. Traditional harmonic analysis fails under strong incoherence and poor temporal sampling, as in global satellite observations.
Han Wang +3 more
wiley +1 more source
Research Progress and Trends in Remote-Sensing Retrieval of Water-Quality Parameters: A Knowledge Graph Analysis. [PDF]
Li H, Chen X, Liu S, Tao C, Chen Q.
europepmc +1 more source
Atmospheric Constituent Data Assimilation in NASA's Goddard Earth Observing System
Abstract Many of today's most significant and urgent scientific questions, including those about the impact of human activity on air quality and radiative forcing, require the synthesis of observations of atmospheric constituents and scientific theory.
B. Weir +11 more
wiley +1 more source

