Results 1 to 10 of about 1,188 (159)

Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling [PDF]

open access: yesScientific Reports
The increasing availability of coarse-scale climate simulations and the need for ready-to-use high-resolution variables drive the climate community to the challenge of reducing computational resources and time for downscaling purposes.
Alfredo Reder   +3 more
doaj   +2 more sources

Choice of Downscaled Climate Product Matters: Projections of Valley Fever Seasonality in a Warming Climate [PDF]

open access: yesGeoHealth
Downscaled climate projections provide valuable information needed to better understand the impacts of climate change on health outcomes and to inform adaptation and mitigation strategies at local to regional scales.
Claire L. Schollaert   +7 more
doaj   +2 more sources

Evaluating the utility of dynamical downscaling in agricultural impacts projections. [PDF]

open access: yesProc Natl Acad Sci U S A, 2014
Significance One of the largest concerns about future climate change is its potential effect on food supply. Crop yield projections require climate inputs at higher resolution than typical for global climate models, and the computationally expensive technique of dynamical downscaling is widely used for this translation.
Glotter M   +5 more
europepmc   +5 more sources

Dynamical-generative downscaling of climate model ensembles. [PDF]

open access: yesProc Natl Acad Sci U S A
Regional high-resolution climate projections are crucial for many applications, such as agriculture, hydrology, and natural hazard risk assessment. Dynamical downscaling, the state-of-the-art method to produce localized future climate information, involves running a regional climate model (RCM) driven by an Earth System Model (ESM), but it is too ...
Lopez-Gomez I   +5 more
europepmc   +4 more sources

Dynamical and statistical downscaling of seasonal temperature forecasts in Europe: Added value for user applications

open access: yesClimate Services, 2018
This work describes the results of a comprehensive intercomparison experiment of dynamical and statistical downscaling methods performed in the framework of the SPECS (http://www.specs-fp7.eu) and EUPORIAS (http://www.euporias.eu) projects for seasonal ...
R. Manzanas   +7 more
doaj   +3 more sources

Regional Dynamical Downscaling and the CORDEX Initiative [PDF]

open access: yesAnnual Review of Environment and Resources, 2015
We review the challenges and future perspectives of regional climate model (RCM), or dynamical downscaling, activities. Among the main technical issues in need of better understanding are those of selection and sensitivity to the model domain and resolution, techniques for providing lateral boundary conditions, and RCM internal variability.
William Gutowski, Filippo Giorgi
exaly   +3 more sources

Is Bias Correction in Dynamical Downscaling Defensible?

open access: yesGeophysical Research Letters
Localized projections of 21st‐century hydroclimate variables obtained from downscaling Global Climate Model (GCM) output are central to informing regional impact assessments and infrastructure planning.
Mark D. Risser   +5 more
doaj   +2 more sources

Dynamical downscaling of GloSea5 over Ethiopia

open access: yesClimate Services, 2018
We have implemented dynamical downscaling of the Met Office GloSea5 global seasonal forecasting system and analysed its ability to generate skilful forecasts of characteristics of the June-September rainy season in Ethiopia that are of societal relevance.
S. Tucker   +4 more
doaj   +2 more sources

Dynamical and statistical downscaling of precipitation and temperature in a Mediterranean area

open access: yesItalian Journal of Agronomy, 2012
In this paper we present and discuss a comparison between statistical and regional climate modeling techniques for downscaling GCM prediction . The comparison is carried out over the “Capitanata” region, an area of agricultural interest in south ...
Claudia Pizzigalli   +5 more
doaj   +7 more sources

A classification algorithm for selective dynamical downscaling of precipitation extremes [PDF]

open access: yesHydrology and Earth System Sciences, 2018
High-resolution climate data O(1 km) at the catchment scale can be of great value to both hydrological modellers and end users, in particular for the study of extreme precipitation.
E. P. Meredith, H. W. Rust, U. Ulbrich
doaj   +4 more sources

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