Results 61 to 70 of about 1,188 (159)

Advances in hydrologic ensemble prediction experiment

Shui kexue jinzhan, 2012
As a method for probabilistic forecasting,the hydrologic ensemble prediction provides deterministic forecast as well as uncertain information.The Hydrologic Ensemble Prediction Experiment(HEPEX) is an international initiative to advance probabilistic ...
LU Gui-hua, WU Juan, WU Zhi-yong
doaj   +1 more source

Future climate projections for South Aegean and Salzburg region based on statistical and dynamical downscaling - similarities and discrepancies

Environmental Research Communications
As climate change is advancing at a quickened pace, the need for a better understanding of local climate change impacts is increasing, especially since the new generation of general circulation models (CMIP6) displays a (statistically nonsignificant ...
Marianne Bügelmayer-Blaschek, Kristofer Hasel, Darío Redolat, César Paradinas, Robert Monjo   +4 more
doaj   +1 more source

Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis Data and Application to Ukraine

Energies
With a potentially increasing share of the electricity grid relying on wind to provide generating capacity and energy, there is an expanding global need for historically accurate, spatiotemporally continuous, high-resolution wind data.
Brandon N. Benton, Grant Buster, Pavlo Pinchuk, Andrew Glaws, Ryan N. King, Galen Maclaurin, Ilya Chernyakhovskiy   +6 more
doaj   +1 more source

Hybrid downscaling of wind climates over the eastern USA

Environmental Research Letters, 2014
Weibull distribution parameters (scale and shape) of wind speeds at 85 stations over the eastern USA are downscaled from distribution parameters of large-scale climate variables drawn from both global and regional models.
S C Pryor, R J Barthelmie
doaj   +1 more source

Chasing parts in quadrillion: applications of dynamical downscaling in atmospheric pollutant transport modelling during field campaigns

Progress in Earth and Planetary Science
Atmospheric transport and dispersion models (ATDMs) are widely used to study and forecast pollution events. In the frame of the “Effect of Megacities on the transport and transformation of pollutants on the regional to global scales” (EMeRGe) project ...
Alexandros Panagiotis Poulidis, Sarah-Lena Seemann, Hans Schlager, Mihalis Vrekoussis   +3 more
doaj   +1 more source

Dynamic downscaling by RCA

, 2012
Seminario técnico de las becas de formación de posgraduados de Aemet celebrado el 21 de febrero de 2012. Proyecto: Formación en generación de escenarios regionalizados de cambio climático mediante modelos regionales de ...
openaire   +1 more source

CORDEX-CMIP6 Archiving Specifications for Dynamical Downscaling

This document provides Data Reference Syntax (DRS) elements necessary for post-processing CORDEX-CMIP6 simulations and publishing them on the Earth System Grid Federation (ESGF). The document includes file and directory naming conventions, global attributes and ESGF Search Facets Mapping.
N, G, B, L
openaire   +5 more sources

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

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

HiT_DS: A Modular and Physics-Informed Hierarchical Transformer Framework for Spatial Downscaling of Sea Surface Temperature and Height

Remote Sensing
Recent advances in satellite observations have expanded the use of Sea Surface Temperature (SST) and Sea Surface Height (SSH) data in climate and oceanography, yet their low spatial resolution limits fine-scale analyses.
Min Wang, Weixuan Liu, Rong Chu, Xidong Wang, Shouxian Zhu, Guanghong Liao   +5 more
doaj   +1 more source