Cargando…
Locally Downscaled and Spatially Customizable Climate Data for Historical and Future Periods for North America
Large volumes of gridded climate data have become available in recent years including interpolated historical data from weather stations and future predictions from general circulation models. These datasets, however, are at various spatial resolutions that need to be converted to scales meaningful...
Autores principales: | Wang, Tongli, Hamann, Andreas, Spittlehouse, Dave, Carroll, Carlos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898765/ https://www.ncbi.nlm.nih.gov/pubmed/27275583 http://dx.doi.org/10.1371/journal.pone.0156720 |
Ejemplares similares
-
ClimateEU, scale-free climate normals, historical time series, and future projections for Europe
por: Marchi, Maurizio, et al.
Publicado: (2020) -
Downscaled and debiased climate simulations for North America from 21,000 years ago to 2100AD
por: Lorenz, David J., et al.
Publicado: (2016) -
Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979–2100)
por: Xu, Zhongfeng, et al.
Publicado: (2021) -
A 10-km CMIP6 downscaled dataset of temperature and precipitation for historical and future Vietnam climate
por: Tran-Anh, Quan, et al.
Publicado: (2023) -
Downscaling Climate Models: Sharpening the Focus on Local-Level Changes
por: Cooney, Catherine M.
Publicado: (2012)