Results 91 to 100 of about 6,035 (266)

Spatial‐statistical downscaling with uncertainty quantification in biodiversity modelling

Methods in Ecology and Evolution
Accurate downscaling with uncertainty quantification and its inclusion in fitting biodiversity models to data are essential for accurate, valid inferences and predictions.
Xiaotian Zheng, Noel Cressie, David A. Clarke, Melodie A. McGeoch, Andrew Zammit‐Mangion   +4 more
doaj   +1 more source

Disposition Model for Permafrost Degradation in Mountainous Regions

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT Permafrost is a widespread thermal phenomenon in Arctic and high mountain regions that, in combination with steep terrain, exerts a key control on slope stability. Its degradation in response to climatic warming can modify the likelihood and timing of rockfall, debris flow and related mass movements. Robust information on the current state and
Peter Mani, Simon Allen, Mathias Bavay, Nils Hählen, Markus Stoffel   +4 more
wiley   +1 more source

Future Changes in Regional Tropical Cyclone Wind, Precipitation, and Flooding Using Event‐Based Downscaling

Earth's Future
Understanding changes in the hazard component of climate risk is important to inform societal resilience planning in a changing climate. Here, we examine local changes in wind speed, rainfall, and flooding related to tropical cyclones (TCs) and compare ...
Alexander Michalek, James M. Done, Gabriele Villarini   +2 more
doaj   +1 more source

CSDownscale: an R package for statistical downscaling

, 2022
Downscaling is any procedure to infer highresolution information from low-resolution variables. Many of these techniques have been defined and applied to climate predictions, which suffer from important biases due to the coarse global grids in which they are delivered.
Ramón, Jaume, Lledó, Llorenç, Palma, Lluís, Delgado-Torres, Carlos, Marcos, Raül   +4 more
openaire   +1 more source

Implementing potential climate‐smart practices through diverse partnerships

PLANTS, PEOPLE, PLANET, EarlyView.
Climate change is one of the greatest threats to society, negatively impacting agriculture and crop yields. Globally, agriculture is also one of the largest greenhouse gas (GHG) emitting sectors. Climate‐smart practices that are developed through diverse partnerships with scientists and practitioners are needed to decrease GHG emissions. We implemented
Kristina J. Bartowitz, Justin M. Mathias, Eric S. Walsh, Laurel M. Lynch, Chloe Arthaud, Stefanie Krantz, Tara W. Hudiburg   +6 more
wiley   +1 more source

Breeding for multi‐stress resilience in crops: Myth or possibility?

PLANTS, PEOPLE, PLANET, EarlyView.
Climate change threatens millions of farmers worldwide by exposing crops to multiple concurrent or sequential environmental stresses such as drought, heat, waterlogging, and diseases. Although crops have long been selected under naturally occurring multi‐stress conditions, breeding pipelines largely focus on optimal or single‐stress environments ...
Hamid Khazaei, Ian C. Dodd, Rodomiro Ortiz   +2 more
wiley   +1 more source

Exploiting Aeolus winds in a regional numerical weather prediction model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aeolus measured winds have proven to be beneficial for global models. However, demonstrating positive impact for limited‐area models has been a challenge so far. For the first time, we have demonstrated a statistically significant positive impact of Aeolus winds in a limited‐area model by using the 4DVar data assimilation technique and the most recent ...
Gert‐Jan Marseille, Roohollah Azad, Martin Ridal, Susanna Hagelin   +3 more
wiley   +1 more source

Diffusion model-based probabilistic downscaling for 180-year East Asian climate reconstruction

npj Climate and Atmospheric Science
As our planet is entering into the “global boiling” era, understanding regional climate change becomes imperative. Effective downscaling methods that provide localized insights are crucial for this target.
Fenghua Ling, Zeyu Lu, Jing-Jia Luo, Lei Bai, Swadhin K. Behera, Dachao Jin, Baoxiang Pan, Huidong Jiang, Toshio Yamagata   +8 more
doaj   +1 more source

A framework to evaluate and identify development requirements for land‐surface models at km‐scale resolution: Application to a semi‐arid and mountainous region

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This article provides a first evaluation of land‐surface models at the km‐scale resolutions at which they are used in weather and Earth‐system models. At these resolutions, the lateral transfers of water that organize landscapes play an important role in predicting evaporation correctly. Riparian processes and human water management for irrigation need
Jan Polcher, Julie Collignan, Juan Pablo Sierra Perez, Gabriele Arduini, Sophie Bastin, Martin Best, Aaron Boone, Manel Bravo, Francesca Covella, Jasper M. C. Denissen, Cenlin He, Simon Munier, Marc Prange, Elena Shevliakova   +13 more
wiley   +1 more source

The evaluation of boundary‐layer turbulence in high‐resolution numerical weather prediction simulations using Doppler lidar

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A new method compares both kilometer and sub‐kilometre weather model simulations with Doppler lidar observations to assess the representation of boundary‐layer turbulence. While bulk boundary‐layer properties are well represented, vertical velocity variance is strongly underestimated in both simulations.
Natalie J. Harvey, Helen F. Dacre, Kirsty E. Hanley, Humphrey W. Lean, Christopher J. Walden, Michael Baidu, Steven Boeing, Andrew N. Ross   +7 more
wiley   +1 more source