Results 41 to 50 of about 13,568 (200)

Predicción estacional del clima en Centroamérica mediante la reducción de escala dinámica. Parte II: aplicación del modelo MM5V3

open access: yesRevista de Matemática: Teoría y Aplicaciones, 2009
In the first part of this work it was determined that general circulation model (GCM) ECHAM4.5 shows more ability than CCM3.6 to simulate key climate features of Central America.
Erick R. Rivera, Jorge A. Amador
doaj   +1 more source

Nearshore wave forecasting and hindcasting by dynamical and statistical downscaling

open access: yes, 2012
A high-resolution nested WAM/SWAN wave model suite aimed at rapidly establishing nearshore wave forecasts as well as a climatology and return values of the local wave conditions with Rapid Enviromental Assessment (REA) in mind is described. The system is
Birgitte R. Furevik   +25 more
core   +1 more source

Precipitation regime change in Western North America: The role of Atmospheric Rivers. [PDF]

open access: yes, 2019
Daily precipitation in California has been projected to become less frequent even as precipitation extremes intensify, leading to uncertainty in the overall response to climate warming.
Cayan, Daniel R   +10 more
core   +2 more sources

Dynamical downscaling of a multimodel ensemble prediction system: Application to tropical cyclones

open access: yesAtmospheric Science Letters, 2020
This study attempts dynamical downscaling to improve north Indian ocean (NIO) tropical cyclone prediction from a global multimodel ensemble prediction system using weather research and forecasting (WRF) model.
Manpreet Kaur   +8 more
doaj   +1 more source

A wind field downscaling strategy based on domain segmentation and transfer functions [PDF]

open access: yes, 2018
This paper presents a novel methodology for mesoscale‐to‐microscale downscaling of near‐surface wind fields. The model chain consists on the Weather Research and Forecast mesoscale model and the Alya‐CFDWind microscale model (assuming neutral stability).
Avila, Matias   +2 more
core   +2 more sources

Verification of statistical-dynamical downscaling in the Alpine region [PDF]

open access: yesClimate Research, 1996
A statistical-dynamical downscaling procedure for global climate sirnulations is verified for the greater Alpine region. This procedure links global and regional model simulations using frequencies of large-scale weather types in order to derive the regional climate corresponding to a given global climate. The results from multi-year global simulations
Fuentes, U., Heimann, D.
openaire   +2 more sources

A spatial analysis of multivariate output from regional climate models [PDF]

open access: yes, 2011
Climate models have become an important tool in the study of climate and climate change, and ensemble experiments consisting of multiple climate-model runs are used in studying and quantifying the uncertainty in climate-model output.
Cressie, Noel   +2 more
core   +3 more sources

Stochastic Lagrangian method for downscaling problems in computational fluid dynamics [PDF]

open access: yesESAIM: Mathematical Modelling and Numerical Analysis, 2010
Summary: This work aims at introducing modelling, theoretical and numerical studies related to a new downscaling technique applied to computational fluid dynamics. Our method consists in building a local model, forced by large scale information computed thanks to a classical numerical weather predictor.
Bernardin, Frédéric   +4 more
openaire   +5 more sources

The match between climate services demands and Earth System Models supplies [PDF]

open access: yes, 2018
Earth System Models (ESM) are key ingredients of many of the climate services that are currently being developed and delivered. However, ESMs have more applications than the provision of climate services, and similarly many climate services use more ...
Bessembinder, Janette   +5 more
core   +2 more sources

Improving Precipitation Estimation Using Convolutional Neural Network [PDF]

open access: yes, 2019
Precipitation process is generally considered to be poorly represented in numerical weather/climate models. Statistical downscaling (SD) methods, which relate precipitation with model resolved dynamics, often provide more accurate precipitation estimates
AghaKouchak, A   +3 more
core  

Home - About - Disclaimer - Privacy