Results 11 to 20 of about 2,888 (290)

Is Bias Correction in Dynamical Downscaling Defensible?

Geophysical Research Letters
AbstractLocalized projections of 21st‐century hydroclimate variables obtained from downscaling Global Climate Model (GCM) output are central to informing regional impact assessments and infrastructure planning. Regional GCM biases can be significant and, for dynamical downscaling, can be addressed either before (a priori) or after (a posteriori ...
Mark D. Risser, Stefan Rahimi, Naomi Goldenson, Alex Hall, Zachary J. Lebo, Daniel R. Feldman   +5 more
core   +3 more sources

Dynamical and Statistical Downscaling of Precipitation and Temperature in a Mediterranean Area [PDF]

Italian 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-eastern Italy, for current (1961-1990) and future (2071-2100) climate.
Pizzigalli C, Palatella L, Zampieri M, Lionello P, Miglietta M, Paradisi P   +5 more
core   +9 more sources

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

Hydrology and Earth System Sciences, 2017
Abstract. 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. Despite the well-known advantages of dynamical downscaling for producing quality high-resolution data, the added value of dynamically downscaling to O(1 km ...
Edmund P. Meredith, Henning W. Rust, Uwe Ulbrich   +2 more
core   +6 more sources

Application of Dynamical and Statistical Downscaling to East Asian Summer Precipitation for Finely Resolved Datasets [PDF]

Advances in Meteorology, 2017
Various downscaling approaches have been developed to overcome the limitation of the coarse spatial resolution of general circulation models (GCMs). Such techniques can be grouped into two approaches of dynamical and statistical downscaling.
Il-Won Jung, Yoo-Bin Yhang, Soo-Jin Sohn
core   +2 more sources

Comparison of Analysis and Spectral Nudging Techniques for Dynamical Downscaling with the WRF Model over China [PDF]

Advances in Meteorology, 2016
To overcome the problem that the horizontal resolution of global climate models may be too low to resolve features which are important at the regional or local scales, dynamical downscaling has been extensively used.
Xiao Long, Yi Yang, Yuanyuan Ma, Xiaoping Mai, Chongjian Qiu, Chenghai Wang   +5 more
core   +2 more sources

Comparison between statistical and dynamical downscaling of rainfall over the Gwadar‐Ormara basin, Pakistan [PDF]

Meteorological Applications, 2023
This paper evaluated and compared the performance of a statistical downscaling method and a dynamical downscaling method to simulate the spatial–temporal rainfall distribution.
Tom Rientjes, Rientjes, Tom, Raazia Attique, Booij, Martijn; id_orcid, Attique, Raazia, Martijn Booij   +5 more
core   +2 more sources

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.
Haoran Niu, Linsey Passarella, Shih‐Chieh Kao, Deeksha Rastogi, Pouya Vahmani, Salil Mahajan, Andrew D. Jones   +6 more
core   +2 more sources

Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study [PDF]

Progress in Earth and Planetary Science, 2018
In this study, we provide a perspective on dynamical downscaling that includes a comprehensive view of multiple downscaling methods and a strategy for achieving better assessment of future regional climates.
Seiya Nishizawa, Adachi, Sachiho A., Ryuji Yoshida, Yoshida, Ryuji, Nishizawa, Seiya, Yamaura, Tsuyoshi, Yoshiyuki Kajikawa, Kajikawa, Yoshiyuki, Yashiro, Hisashi, Hirofumi Tomita, Sachiho A. Adachi, Kazuto Ando, Hisashi Yashiro, Tsuyoshi Yamaura, Tomita, Hirofumi, Ando, Kazuto   +15 more
core   +3 more sources

Chasing parts in quadrillion: applications of dynamical downscaling in atmospheric pollutant transport modelling during field campaigns [PDF]

Progress in Earth and Planetary Science
Atmospheric transport and dispersion models (ATDMs) are widely used to study and forecast pollution events. In the frame of the “Effect of Megacities on the transport and transformation of pollutants on the regional to global scales” (EMeRGe) project ...
Alexandros Panagiotis Poulidis, Seemann, Sarah-Lena, Hans Schlager, Schlager, Hans, Poulidis, Alexandros Panagiotis, Vrekoussis, Mihalis, Sarah-Lena Seemann, Mihalis Vrekoussis   +7 more
core   +2 more sources

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

Sci Rep
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.
Reder A, Fedele G, Manco I, Mercogliano P.   +3 more
europepmc   +2 more sources