Results 111 to 120 of about 358,172 (250)

Precipitation and temperature space-time variability and extremes in the Mediterranean region: evaluation of dynamical and statistical downscaling methods

, 2013
International audienceThis study evaluates how statistical and dynamical downscaling models as well as combined approach perform in retrieving the space-time variability of near-surface temperature and rainfall, as well as their extremes, over the whole ...
Mathieu Vrac, Calvet, Jean-Christophe, Philippe Drobinski, Cindy Lebeaupin Brossier, Lebeaupin-Brossier, Cindy, Borga, Marco, Flaounas, Emmanouil, Vrac, Mathieu, Emmanouil Flaounas, Sophie Bastin, Marc Stéfanon, Drobinski, Philippe, Stéfanon, Marc, Jean Christophe Calvet, Bastin, Sophie   +14 more
core   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

Land Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li, Qizhong Wu, Xueshun Chen, Jiang Yue, Jieying He, Huaqiong Cheng   +5 more
wiley   +1 more source

Trade‐Offs and Synergies in Cultivated Land Multifunctionality and Zoning Management in the Dongting Lake Region: A Multiscale Analysis

Land Degradation &Development, EarlyView.
ABSTRACT Understanding the multiscale patterns and interactions of cultivated land multifunctionality is important for conservation, governance, and agricultural spatial optimization in the Dongting Lake region. Using 2020 data, we evaluated economic production (EPF), social security (SSF), landscape‐based recreation (LRF), and ecological maintenance ...
Chaomin Li, Tingting Ma, Zixiang Sun, Bingeng Xie, Kaichun Zhou   +4 more
wiley   +1 more source

Examining the Robustness of Weakened Orographic Influence on Precipitation in Downscaled Climate Projections Over the Western US

Geophysical Research Letters
Assessing local climate change impacts often requires downscaling coarse global climate model (GCM) output to finer resolution. Two main approaches exist: dynamical downscaling using high‐resolution regional climate models, and statistical downscaling ...
Nicholas Siler, Matthew Koszuta, Stefan Rahimi, Jesse Norris, Alex Hall, Paul Ullrich   +5 more
doaj   +1 more source

Optimizing Soil Organic Matter Estimation Through Multi‐Factor Zoning and Tree‐Based Automated Learning

Land Degradation &Development, EarlyView.
ABSTRACT Soil organic matter (SOM) is a key indicator of land degradation and soil functioning. It plays an essential role in nutrient cycling, soil structure, and long‐term agroecosystem resilience. The variations of surface cover, soil moisture and soil texture heterogeneity will affect the accuracy of SOM remote sensing mapping. This study developed
Xuzhou Qu, Meiyan Shu, Huiming Song, Xiaohe Gu, Jingping Zhou, Qian Sun, Baoyuan Zhang, Menglei Dai, Chunjiang Zhao   +8 more
wiley   +1 more source

Towards more reliable interdisciplinary modelling of global human–environment dynamics driving biodiversity change

People and Nature, EarlyView.
Abstract Environmental problems are typically vast, urgent and complex. Confronted with such problems, we are often tempted to act fast by pulling together little bits and pieces from different fields and simply adding these to pre‐existing models and frameworks.
Carsten Meyer
wiley   +1 more source

DUCK‐Net: automated deep learning segmentation of ductular reactions in murine liver injury captures multicellular niche dynamics from H&E morphology

The Journal of Pathology, EarlyView.
Abstract Ductular reactions (DRs) are dynamic and complex multicellular responses that occur as a result of various hepatic injuries. Precise identification and quantification of the extent of DRs is a cornerstone of pre‐clinical modelling of liver disease, with links to inflammation, fibrosis, regeneration, and disease severity.
Nathalie Feeley, Kai Williams, Caitlin McCaffrey, Daniel Field, Kyle Davies, Hugh Warden, Luke Boulter, Steve Thorn, Tak Yung Man, Wei‐Yu Lu, Stephen J Wigmore, Ewen M Harrison, Stuart J Forbes, Ian P Tomlinson, Timothy J Kendall, Rachel V Guest   +15 more
wiley   +1 more source

Towards a Process-Informed Framework for Assessing the Credibility of Statistical and Dynamical Downscaling Methods

This study presents a process-informed framework for assessing the differential credibility of diverse downscaling methodologies, including both statistical (simple and complex) and dynamical approaches.
Seth McGinnis, Rachel R. McCrary, Melissa S. Bukovsky, Linda O. Mearns   +3 more
core   +1 more source

Possible hydrological effect of rainfall duration bias in dynamical downscaling

, 2019
Motivated by the problem of rainfall duration bias typically found in dynamical downscaling, its possible effect on hydrology was evaluated for heavy rainfall events over Kyushu, Japan, during summer.
Yamada, Tomohito J., Inatsu, Masaru, Tamaki, Yuta   +2 more
core   +1 more source

Lack of clear standards and usable comparisons of downscaled climate projections pose a roadblock for US climate discovery and adaptation

Environmental Research Letters
The release of global climate projections coupled with the demand for local-resolution climate-forced meteorology has prompted many research groups to downscale these projections using various statistical, dynamical, and current machine learning ...
Samantha H Hartke, Andrew J Newman, Ethan D Gutmann, Rachel R McCrary, Nicholas D Lybarger, Flavio Lehner, Andrew W Wood, Jeffrey R Arnold, Keith W Dixon   +8 more
doaj   +1 more source