Results 1 to 10 of about 1,282 (215)

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

Scientific 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, Giusy Fedele, Ilenia Manco, Paola Mercogliano   +3 more
doaj   +2 more sources

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

GeoHealth
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, Simon Camponuri, Lisa Couper, Jennifer R. Head, Alexandra Heaney, Stefan Rahimi, Justin V. Remais, Miriam E. Marlier   +7 more
doaj   +2 more sources

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

Climate 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 ...
Rodrigo Manzanas, Jesus Fernández, Erik van Meijgaard   +2 more
exaly   +3 more sources

Hybrid precipitation downscaling over coastal watersheds in Japan using WRF and CNN

Journal of Hydrology: Regional Studies, 2021
Study region: Kuma River Watershed in Japan. Study focus: High-quality precipitation information is desirable in hydrological modeling and water resources management.
Tongbi Tu, Kei Ishida, Ali Ercan, Masato Kiyama, Motoki Amagasaki, Tongtiegang Zhao   +5 more
doaj   +1 more source

How May the Choice of Downscaling Techniques and Meteorological Reference Observations Affect Future Hydroclimate Projections?

Earth's Future, 2022
We present an intercomparison of a suite of high‐resolution downscaled climate projections based on a six‐member General Circulation Model (GCM) ensemble from Coupled Models Intercomparison Project (CMIP6).
Deeksha Rastogi, Shih‐Chieh Kao, Moetasim Ashfaq   +2 more
doaj   +1 more source

Projected heat wave increasing trends over China based on combined dynamical and multiple statistical downscaling methods

Advances in Climate Change Research, 2023
Extensive investigations on the projection of heat waves (HWs) were conducted on the basis of coarse-resolution global climate models (GCMs). However, these investigations still fail to characterise the future changes in HWs regionally over China. PRECIS
Ming Zhang, Zhong-Yang Guo, Guang-Tao Dong, Jian-Guo Tan   +3 more
doaj   +1 more source

A Comparison between Analog Ensemble and Convolutional Neural Network Empirical-Statistical Downscaling Techniques for Reconstructing High-Resolution Near-Surface Wind

Energies, 2022
Empirical-statistical downscaling (ESD) can be a computationally advantageous alternative to dynamical downscaling in representing a high-resolution regional climate. Two distinct strategies of ESD are employed here to reconstruct near-surface winds in a
Christopher M. Rozoff, Stefano Alessandrini   +1 more
doaj   +1 more source

Flood forecasting by means of dynamical downscaling of global NWPs coupling with a hydrologic model at Nong Son-Thanh My River basins

Journal of Water and Climate Change, 2023
Almost every year, Vietnam suffers floods resulting in the loss of many lives and considerable costs for damaged and lost properties. This study proposes a forecasting system that couples the dynamical downscaling technique with hydrologic models to ...
Toan Trinh, N. Do, L. Trinh, K. Carr
doaj   +1 more source

Evaluation of dynamical downscaling prediction of BCC second-generation model system product to precipitation over Chongqing during the flood season of 2016

暴雨灾害, 2019
To evaluate the dynamical downscaling prediction skill on the averaged precipitation in flood season over Chongqing, using WRF model based on Beijing Climate Center (BCC) second-generation seasonal prediction model system (BCCv2) product, we have ...
Haonan ZHU, Xiaoran LIU, Yao WU, Xinning DONG, Hongyu TANG, Bingyan CHENG   +5 more
doaj   +1 more source

Coupling dynamical and statistical downscaling for high-resolution rainfall forecasting: case study of the Red River Delta, Vietnam

Progress in Earth and Planetary Science, 2018
The hybrid dynamical-statistical downscaling approach is an effort to combine the ability of dynamical downscaling to resolve fine-scale climate changes with the low computational cost of statistical downscaling.
Quan Tran Anh, Kenji Taniguchi
doaj   +1 more source