Results 141 to 150 of about 14,346 (297)

Climate‐driven niche filtering limits post‐dispersal establishment and genomic introgression in a riverine shrub

Journal of Integrative Plant Biology, EarlyView.
Integrated biogeographic analysis and macroecological insights reveal that habitat differences drive genetic differentiation Debregeasia orientalis C. J. Chen, a dominant riparian shrub distributed across multiple biodiversity hotspots, and different lineages vary greatly in adaptability to future climate.
Zeng‐Yuan Wu, Mark A. Chapman, Richard I. Milne, Jie Liu, Ya‐Huang Luo, Peng‐Zhen Fan, Guang‐Fu Zhu, Jason T. Weir, Richard T. Corlett, Xiao‐Gang Fu, Toby P. N. Tsang, Marc W. Cadotte, De‐Zhu Li   +12 more
wiley   +1 more source

Projection of Future Climatic Variables based on CMIP5 and CMIP6 Models in the Gedarchay Catchment (West Azarbaijan) [PDF]

پژوهشنامه مدیریت حوزه آبخیز
Extended Abstract Background: The primary issue facing the Earth in this century is the increase in global temperatures and changes in climate variables due to industrialization and rising greenhouse gas emissions. Therefore, it is crucial to investigate
Sanaz Azimi-Habashi, Mirhassan Miryaghoubzadeh, Mahdi Erfanian, Khadijeh Javan   +3 more
doaj  

Climate Change, Demand Uncertainty, and Firms' Investments: Evidence from Planned Power Plants

The Journal of Finance, EarlyView.
ABSTRACT How does demand uncertainty affect firms' investment decisions? We examine this question in the context of electricity‐producing firms' planned investments in new power plants. We measure uncertainty about future electricity demand using plausibly exogenous variation in temperature projections across scientific climate models. The results show
CHEN LIN, THOMAS SCHMID, MICHAEL S. WEISBACH   +2 more
wiley   +1 more source

Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach

Mathematical Finance, EarlyView.
ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović, Pavel V. Shevchenko, Tomoko Matsui, Daisuke Murakami, Tor A. Myrvoll   +4 more
wiley   +1 more source

Simulating Agroecology Policy Options for the Resilience of Smallholder Food Security to Climate Shocks

Climate Resilience and Sustainability, Volume 5, Issue 2, December 2026.
Climate shocks and the agroecology–resilience nexus of smallholders. Summary of key findings: Agroecology increases smallholder resilience capacity by 8.7% in the short term under a decreased rainfall scenario, a projected 11% decline in precipitation reduces resilience by 5.6% and 14.2% in the short and long terms, respectively, and a policy‐induced ...
Gilbert Dagunga, Michael Ayamga, Wolfram Laube, Isaac Gershon Kodwo Ansah, Joseph A. Awuni, Bekele Hundie Kotu, Francis Muthoni, Gideon Danso‐Abbeam, Abiodun A. Ogundeji   +8 more
wiley   +1 more source

PMIP4 contribution to CMIP6 [PDF]

Past Global Changes Magazine, 2017
Qiong Zhang, JC Hargreaves, P Braconnot, M Kageyama   +3 more
openaire   +1 more source

CMIP6.HighResMIP.CNRM-CERFACS.CNRM-CM6-1-HR

, 2019
Coupled Model Intercomparison Project Phase 6 (CMIP6) data sets.
Voldoire, Aurore
core   +1 more source

Uncertainty Quantification and Attribution for Resilient Infrastructure Systems

Climate Resilience and Sustainability, Volume 5, Issue 2, December 2026.
Infrastructure resilience is critical for maintaining the delivery of essential services to society. However, although computational modelling is integral to infrastructure management, infrastructure model outputs are conditional on a range of uncertain assumptions, both in the present day and under future climate change.
Saskia Salwey, Anna Murgatroyd, Hannah Bloomfield, Gemma Coxon, Francesca Pianosi   +4 more
wiley   +1 more source

CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR

, 2019
Coupled Model Intercomparison Project Phase 6 (CMIP6) data sets.
Lohmann, Katja, Putrasahan, Dian, von Storch, Jin-Song, Gutjahr, Oliver, Jungclaus, Johann   +4 more
core   +1 more source

AI‐Based Regional Emulation for Kilometer‐Scale Dynamical Downscaling

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract An AI‐based Limited‐Area Model (LAM) is developed for dynamical downscaling over the Southern Great Plains and the southeastern United States, with strong generalization abilities under diverse boundary conditions. The model is trained using 0.25° ${}^{\circ}$, 3‐hourly ERA5 as forcings and CONUS404 as targets in 1980–2019, producing 4‐km ...
Yingkai Sha, Tracy Hertneky, Ethan D. Gutmann, Seth McGinnis, Rachel McCrary, Lulin Xue, David John Gagne II, Kathryn Newman, Andrew Newman   +8 more
wiley   +1 more source