Results 91 to 100 of about 2,229 (199)

Assessing Cloud and Precipitation Properties on Temporal Scales Using LASSO Simulations Over the ARM Eastern North Atlantic (ENA) Site

Earth and Space Science, Volume 13, Issue 8, August 2026.
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, Daniel T. McCoy, William I. Gustafson Jr., Scott E. Giangrande, Satoshi Endo, John Rausch, Jennifer D. Small Griswold   +6 more
wiley   +1 more source

Utilizing NASA's Operation IceBridge Airborne SWE and Precipitation Products to Assess Surface Snow Over Alaskan Glaciers

Earth and Space Science, Volume 13, Issue 8, August 2026.
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

High-Resolution Mapping of Freeze/Thaw Status in China via Fusion of MODIS and AMSR2 Data

Remote Sensing, 2017
Transition of freeze/thaw (F/T) affects land-atmospheric interactions and other biospheric dynamics. Global F/T statuses are normally monitored using microwave remote sensing, but at coarse resolutions (e.g., 25 km).
Tongxi Hu, Tianjie Zhao, Jiancheng Shi, Shengli Wu, Dan Liu, Haiming Qin, Kaiguang Zhao   +6 more
doaj   +1 more source

MAUSAM: An Observations‐Focused Assessment of Global AI Weather Prediction Models During the South Asian Monsoon

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
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

Disentangling Internal Tides From Balanced Motions With Deep Learning and Surface Field Synergy

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
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, Jeffrey Uncu, Kaushik Srinivasan, Nicolas Grisouard   +3 more
wiley   +1 more source

Enhanced Retrieval of Spring Snow Depth Over Pan‐Arctic Sea Ice From AMSR2 Observations for 2013–2023 Using Multi‐Model Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Snow on sea ice modulates the Earth's radiation budget and sea ice mass balance, yet satellite retrievals of Arctic snow depth remain subject to substantial algorithmic uncertainty. We develop a multi‐model machine learning (ML) framework for retrieving spring snow depth over Arctic sea ice from Advanced Microwave Scanning Radiometer 2 (AMSR2).
Yi Zhou, Chentong Zhang, Alek Petty, Xianwei Wang, Ruibo Lei, Wenxuan Liu, Yu Zhang   +6 more
wiley   +1 more source

Postfrontal Deep Convection Over the Southern Ocean and Orographic Precipitation Enhancement Over Tasmania

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 14, 28 July 2026.
Abstract The orographic precipitation enhancement (OPE) generated within wintertime post‐frontal air masses is a prominent climate feature of Tasmania. This study investigates a passage of a cold sector of a mid‐latitude cyclone over the Southern Ocean (SO) and Western Tasmania (WTAS) observed from 2100 UTC 11 July to 0300 UTC 13 July.
Artur Gevorgyan, Steven Siems, Yi Huang, Luis Ackermann, T. Alinejadtabrizi   +4 more
wiley   +1 more source

Spatiotemporal Heterogeneity in Greenland Firn From the Synthesis of Satellite Radar Altimetry and Passive Microwave Measurements

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The spatiotemporal properties of the Greenland Ice Sheet firn layer are an important factor when assessing overall ice sheet mass balance and internal meltwater storage capacity.
Kirk M. Scanlan, Anja Rutishauser, Sebastian B. Simonsen   +2 more
doaj   +1 more source

Mesonet‐Based Ground Validation of IMERG‐V07 and GSMaP‐V08 Over a Semi‐Arid Dryland Ecosystem in West Texas

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 14, 28 July 2026.
Abstract Climate change has caused highly uncertain precipitation regimes and associated hydrometeorological hazards over global drylands. Accurate precipitation measurements are vital for monitoring dryland ecohydrology. Satellite precipitation products (SPPs), including the Integrated Multi‐satellitE Retrievals for GPM (Global Precipitation ...
Diya Das, Sandip Pal, Eric C. Bruning, Brian Hirth   +3 more
wiley   +1 more source

Distinct El Niño Flavors and SAM Variability Modulate Surface Melt Over the Ross Ice Shelf

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 14, 28 July 2026.
Abstract Our study investigates how different flavors of El Niño, centered on the Eastern Pacific (EP) and Central Pacific (CP), and their interaction with the Southern Annular Mode (SAM) modulate surface melt events over the Ross Ice Shelf (RIS). Using satellite‐based melt observations, ERA5 reanalysis, high‐resolution regional model simulations, and ...
Sanjiban Dutta, Pranab Deb, Ruth Mottram, Nicolaj Hansen   +3 more
wiley   +1 more source