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
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]
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
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]
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]
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]
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]
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]
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]
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
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