Results 171 to 180 of about 16,215 (263)

Integrating Ice Analyses and Varying Floe Size Parameterization Into Great Lakes Ice Prediction

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract Accurate prediction of Great Lakes ice cover is critical for regional weather, navigation support, and safety. Current operational models often exhibit biases, such as over‐prediction of ice concentration and delayed spring melt, potentially due to simplified parameterizations.
Kaitlin Pereira, Eric J. Anderson, James Kessler, Ayumi Fujisaki‐Manome   +3 more
wiley   +1 more source

Exploring ocean data: comprehensive approaches to data collection and the role of public databases in facilitating the interconnection between ocean and human health. [PDF]

Front Public Health
Muratore A, Notargiacomo L, Mattei G, Ferrara F.   +3 more
europepmc   +1 more source

Streamflow Calibration in Ungauged Basins Using SWOT Discharge and SMAP Surface Soil Moisture Products

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract Significant advances have been made in using terrestrial remote sensing to reduce random errors in land surface models (LSMs). However, less progress has been made in dealing with systematic LSM errors that are instead correlated with true system states.
Wade T. Crow, Michael Durand, Steve Coss, Rolf H. Reichle   +3 more
wiley   +1 more source

World Ocean Database 2023: A Foundational Data Resource for and by the Global Ocean and Coastal Communities. [PDF]

Sci Data
Garcia H, Boyer T, Levitus S, Reagan J, Mishonov A, Jiang LQ, Wang Z, Paver C, Nyadjro E, Cross S, Bouchard C, Hogan P, Baranova O, Locarnini R.   +13 more
europepmc   +1 more source

Advancing High‐Resolution Lake Bathymetry Reconstruction Through Geomorphologically Informed Deep Learning in High Mountain Asia

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract Accurate three‐dimensional (3D) lake bathymetry reconstruction is critical for water resources assessment and hydrological modeling yet remains constrained by data scarcity and oversimplified geometric assumptions. To address these challenges, we propose the Geomorphologically informed deep learning (GIDL) framework for high‐resolution 3D lake
Minglei Hou, Jiamu Chen, Jiahua Wei, Yang Shi, Wenqian Zhang, Shengling Hou, Zhen Qiao, Jianshi Zhao   +7 more
wiley   +1 more source

Oceanic upper crustal accretion by melt sill and lava flow interaction at Axial volcano. [PDF]

Nat Commun
Wu H, Xie W, Singh SC, Carton H, Kent GM, Arnulf AF, Harding AJ.   +6 more
europepmc   +1 more source

Soil Moisture Impact on Convective Initiation

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract The influence of soil moisture on convective storm initiation remains an open question, with previous studies showing conflicting results regarding whether storms preferentially form over wet or dry soils. Here, we analyze the soil moisture‐convection relationship using satellite observations across North America, Africa, and Australia from ...
Faisal AlNasser, Daniel Gianotti, Dara Entekhabi   +2 more
wiley   +1 more source

Deep learning reveals enhanced ENSO predictability under historical anthropogenic forcing. [PDF]

Sci Adv
Lin Z, Jin Y, He C, Zhang S, McPhaden MJ, Lin X.   +5 more
europepmc   +1 more source

Streamflow Spatial Correlation Length Increases During Storms and Its Application in Data Assimilation Improves Streamflow Predictions

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract The spatial correlation of streamflow in a river network captures how flows at different locations relate to one another and influence the downstream response. In this study, we analyze the spatial correlation of streamflow and rainfall during storm events in three Texas watersheds: San Antonio (2015 and 2016 storms), Guadalupe (2018 storm ...
Sujana Timilsina, Paola Passalacqua
wiley   +1 more source

Urea use drives niche separation between dominant marine ammonia oxidizing archaea. [PDF]

Nat Commun
Stuehrenberg J, Kitzinger K, von Arx JN, Graf JS, Lavik G, Littmann S, Milucka J, Orsi WD, Schorn S, Speth DR, Vuillemin A, Wu S, Marchant HK, Kuypers MMM.   +13 more
europepmc   +1 more source