Results 131 to 140 of about 50,580 (230)

Duo‐AttnOPNets: Advancing Global Operational Forecasting for Atmospheric Carbon Monoxide With AI‐Empowered 4D‐Var

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 2, February 2026.
Abstract The accuracy of global forecasting of atmospheric composition is essential for protecting public health and advancing climate research. Carbon monoxide (CO), a key pollutant with indirect greenhouse effects, requires timely and accurate prediction.
Judongyang Zhou, Fangxin Fang, Christopher C. Pain, Linfeng Li, Jie Zheng, Yanghua Wang, Ionel Michael Navon, Jiang Zhu   +7 more
wiley   +1 more source

An Effective Monitoring of Evolving Groundwater Drought via Multivariate Data Assimilation and Machine Learning

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Groundwater drought represents one of the most pervasive and difficult‐to‐monitor forms of water scarcity, threatening the reliability of freshwater supply for over 2 billion people worldwide, agricultural productivity, and ecosystem health.
Parnian Ghaneei, Hamid Moradkhani
wiley   +1 more source

Multiscale Assessment of the Water Balance Components in Arizona Simulated by the National Water Model

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 1, February 2026.
ABSTRACT Arizona, located in the Desert Southwest of the U.S., faces chronic water scarcity and has been strongly affected by the multidecadal Millennium Drought. As the state increasingly turns to water augmentation strategies, accurate, high‐resolution estimates of water balance components are essenctial.
Abdul Moiz, Giuseppe Mascaro
wiley   +1 more source

The Hydroclimate of the Ottawa River Basin Under Climate Change

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 1, February 2026.
ABSTRACT The freshwater resource of the Ottawa River basin (ORB) is vital for ecological services and economic activities in the region. With climate change impacts becoming more evident, sustainable management is imperative. As a first step, it is important to assess impacts on hydro‐climatology.
Narayan K. Shrestha, Frank Seglenieks
wiley   +1 more source

Ensemble Methods for History Matching and Uncertainty Quantification With a Watershed Model

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 1, February 2026.
ABSTRACT History matching of large hydrologic models is challenging due to data sparsity and non‐unique process combinations (and associated parameters) that can produce similar model predictions. We develop an ensemble‐based history matching (and uncertainty quantification) approach using an iterative ensemble smoother (iES) method for three cutouts ...
Michael N. Fienen, Andrew J. Long, Katherine H. Markovich, Adel E. Haj, Matthew I. Barker   +4 more
wiley   +1 more source

The NextGen Water Resources Modeling Framework: Community Innovation at the Intersection of Hydrologic, Data and Computer Sciences

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 1, February 2026.
ABSTRACT Hydrologic science lacks a comprehensive theory of stormflow generation, preventing the development of a general hydrologic model. Studies show that models focusing on dominant local processes often outperform general models that rely on parameter tuning, leading to higher confidence solutions.
Fred L. Ogden, Keith Jennings, Edward P. Clark, Ethan Coon, Brian Cosgrove, Luciana Kindl da Cunha, Matthew W. Farthing, Trey Flowers, Jonathan M. Frame, Nels J. Frazier, Jessica L. Garrett, Thomas M. Graziano, Joseph D. Hughes, J. Michael Johnson, Rachel McDaniel, J. David Moulton, Scott D. Peckham, Fernando R. Salas, Gaurav Savant, Roland Viger, Andy Wood   +20 more
wiley   +1 more source

WRF-CMake: integrating CMake support into the Advanced Research WRF (ARW) modelling system [PDF]

Journal of Open Source Software, 2019
M. Riechert, D. Meyer
openaire   +1 more source

Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 567-584, February 2026.
Abstract Animal‐worn sensors have revolutionised the study of animal behaviour and ecology. Accelerometers, which measure changes in acceleration across planes of movement, are increasingly being used in conjunction with machine learning models to classify animal behaviours across taxa and research questions.
Medha Agarwal, Kasim Rafiq, Ronak Mehta, Briana Abrahms, Zaid Harchaoui   +4 more
wiley   +1 more source

Generative High‐Resolution Ensemble Weather Forecast Supports Renewable Energy Planning and Operation

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract The planning and operation of renewable energy, especially wind power, depend crucially on accurate, timely, and high‐resolution weather information. Coarse‐grid global numerical weather forecasts are typically downscaled to meet these requirements, introducing challenges of scale inconsistency, process representation error, computation cost ...
Jingnan Wang, Jie Chao, Shangshang Yang, Congyi Nai, Kaijun Ren, Kefeng Deng, Xi Chen, Yaxin Liu, Qiuzi Han Wen, Ziniu Xiao, Lifeng Zhang, Xiaodong Wang, Jiping Guan, Baoxiang Pan   +13 more
wiley   +1 more source

Do Tropical Cyclones Have a Steady Translation Under a Uniform Steering Flow?

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Changes in tropical cyclone (TC) movement are commonly attributed to those in the steering flow, beta effect, or topographic influences. However, a series of idealized simulations suggest that significant track deflections can still occur even under a steady steering flow on an f plane.
Quanjia Zhong, Jianping Gan, Donglei Shi, Shifei Tu, Johnny C. L. Chan   +4 more
wiley   +1 more source