Results 81 to 90 of about 13,568 (200)

MULTIVARIATE ASSIMILATION METHOD FOR WAVE DYNAMICAL DOWNSCALING

Coastal Engineering Proceedings
Good quality, long-term wave series are a key aspect for the study of coastal problems and for the design of coastal and harbor works. Recent years have seen a significant improvement in the quality of global and local wave reanalyzes. They have increased their spatial and temporal resolution, as well as reduced errors, mainly in terms of total energy ...
Sebastian Solari, Rodrigo Alonso
openaire   +1 more source

Dynamically and Statistically Downscaled Seasonal Simulations of Maximum Surface Air Temperature Over the Southeastern United States [PDF]

, 2007
Coarsely resolved surface air temperature (2 m height) seasonal integrations from the Florida State University/Center for Ocean-Atmospheric Prediction Studies Global Spectral Model (FSU/COAPS GSM) (~1.8º lon.-lat.
Barnston, Bonan, Boé, Changnon, Cocke, Cocke, Cocke, Conway, Coulibaly, Cressman, D. W. Shin, Díez, Eric P. Chassignet, Feddersen, Fennessy, Fuentes, Giorgi, Giorgi, Heidke, Hewitson, Hong, Hoyer, Huth, Huth, James J. O'Brien, Ji, Jolliffe, Juang, Justin T. Schoof, Kim, Kim, Lim, Marinucci, Misra, Murphy, Nicolini, Ogura, Oshima, Pan, Ramírez, Reusch, Robertson, Rotach, Saha, Salathé, Salathé, Schmidli, Schoof, Schubert, Shin, Shin, Steven Cocke, Sun, T. E. LaRow, Takayabu, Trigo, Widmann, Wilby, Wilby, Wilks, Wood, Xu, Young-Kwon Lim, Zhu   +63 more
core   +2 more sources

Abridged continuous data assimilation for the 2D Navier-Stokes equations utilizing measurements of only one component of the velocity field

, 2015
We introduce a continuous data assimilation (downscaling) algorithm for the two-dimensional Navier-Stokes equations employing coarse mesh measurements of only one component of the velocity field.
Farhat, Aseel, Lunasin, Evelyn, Titi, Edriss S.   +2 more
core   +1 more source

Complementing Dynamical Downscaling With Super‐Resolution Convolutional Neural Networks

Geophysical Research Letters
Despite advancements in Artificial Intelligence (AI) methods for climate downscaling, significant challenges remain for their practicality in climate research.
Deeksha Rastogi, Haoran Niu, Linsey Passarella, Salil Mahajan, Shih‐Chieh Kao, Pouya Vahmani, Andrew D. Jones   +6 more
doaj   +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 Comparison of ETKF and Downscaling in a Regional Ensemble Prediction System

Atmosphere, 2015
Based on the operational regional ensemble prediction system (REPS) in China Meteorological Administration (CMA), this paper carried out comparison of two initial condition perturbation methods: an ensemble transform Kalman filter (ETKF) and a dynamical
Hanbin Zhang, Jing Chen, Xiefei Zhi, Yanan Wang   +3 more
doaj   +1 more source

Stochastic versus Dynamical Downscaling of Ensemble Precipitation Forecasts

Journal of Hydrometeorology, 2009
Abstract The assessment of hydrometeorological risk in small basins requires the availability of skillful, high-resolution quantitative precipitation forecasts to predict the probability of occurrence of severe, localized precipitation events.
Brussolo, Elisa, von Hardenberg, Jost, Rebora, Nicola   +2 more
openaire   +3 more sources

High-resolution dynamical downscaling experiment outputs data over Reunion and Mauritius islands in the South-West Indian Ocean. [PDF]

Data Brief, 2023
Tang C, Morel B, Singh S, Graillet A, Pergaud J, Mugenga RI, Baraka L, Leroux MD, Jeanty P, Delsaut M, Cunden TSM, Beeharry GK, Lollchund R.   +12 more
europepmc   +1 more source

Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979-2100). [PDF]

Sci Data, 2021
Xu Z, Han Y, Tam CY, Yang ZL, Fu C.
europepmc   +1 more source

High time- and spatial-resolution climate scenarios of the DISTENDER project according to statistical and dynamical downscaling

Climate Services
This paper discusses statistical and dynamical methods used to produce local (grid-spacing 
Robert Monjo, Yassmin H. Essa, Carlos Prado-López, Manpreet Kaur, Darío Redolat, César Paradinas, Dominic Royé, Bodo Ahrens, Roberto San José   +8 more
doaj   +1 more source