Results 31 to 40 of about 2,888 (290)

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

Replication data for: Simulations of the Holocene Climate in Europe Using Dynamical Downscaling within the iLOVECLIM model (version 1.1)

, 2022
DATASET MIGRATED FROM FIGSHARE: AbstractThis study presents the application of dynamical downscaling in Europe using iLOVECLIM (a model of intermediate complexity), increasing its resolution from 5.56° to 0.25° latitude-longitude.
Fyfe Ralph, Arthur Frank, Roche Didier, Quiquet Aurélien, Renssen Hans   +4 more
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Projected Changes in Temperature and Precipitation over Kashafrood Basin Based on Statistical and Dynamical Downscaling Methods [PDF]

مخاطرات محیط طبیعی, 2021
It is well-known that climate is changing continuously under the intricate influences of natural and artificial factors at global and regional scales. The global Coupled Model Intercomparison Project (CMIP) already provides multi model data resources in ...
Hooshmand Ataei, Mansoureh Kouhi, Rahele Modirian, Bahare Bazrafshan   +3 more
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A Hybrid Statistical-Dynamical Downscaling of Air Temperature over Scandinavia Using the WRF Model [PDF]

, 2020
An accurate simulation of air temperature at local scales is crucial for the vast majority of weather and climate applications. In this work, a hybrid statistical–dynamical downscaling method and a high-resolution dynamical-only downscaling method are ...
Fonseca, Ricardo,, Rutledge, Kendall, Fonseca, Ricardo M.,, Yu, Jun,, Martín-Torres, F. J., Fonseca, Ricardo M., Martin-Torres, Javier,, Yu, Jun, Wang, Jianfeng,, Wang, Jianfeng, Rutledge, Kendall,   +10 more
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Study on the Construction of Initial Condition Perturbations for the Regional Ensemble Prediction System of North China

Atmosphere, 2019
The regional ensemble prediction system (REPS) of North China is currently under development at the Institute of Urban Meteorology, China Meteorological Administration, with initial condition perturbations provided by global ensemble dynamical ...
Hanbin Zhang, Min Chen, Shuiyong Fan
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Temperature Changes In Poland In 21st Century – Results Of Global Simulation And Regional Downscaling

Quaestiones Geographicae, 2015
The main source of information about future climate changes are the results of numerical simulations performed in scientific institutions around the world.
Pilarski Michał
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Technical descriptions of the experimental dynamical downscaling simulations over North America by the CAM5.4-MPAS4.0 variable-resolution model

, 2023
Comprehensive assessment of climate datasets is important for communicating to stakeholders model projections and associated uncertainties. Uncertainties can arise not only from assumptions and biases within the model but also from external factors such ...
Gettelman, Andrew, Zhao, Chun, Harrop, Bryce E., Leak, Stephen, Jang, Jihyeon, Leung, L. Ruby, Zarzycki, Colin M., Mearns, Linda, McGinnis, Seth, Gutowski, William, Sakaguchi, Koichi, Skamarock, William C.   +11 more
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Predicción estacional del clima en Centroamérica mediante la reducción de escala dinámica. Parte II: aplicación del modelo MM5V3

Revista 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
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Technical descriptions of the experimental dynamical downscaling simulations over North America by the CAM–MPAS variable-resolution model

, 2023
Comprehensive assessment of climate datasets is important for communicating model projections and associated uncertainties to stakeholders. Uncertainties can arise not only from assumptions and biases within the model but also from external factors such ...
Gettelman, Andrew, Zhao, Chun, Harrop, Bryce E., Leak, Stephen, Jang, Jihyeon, Leung, L. Ruby, Zarzycki, Colin M., Mearns, Linda, McGinnis, Seth, Gutowski, William, Sakaguchi, Koichi, Skamarock, William C.   +11 more
core  

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

Atmospheric 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, R. Phani Murali Krishna, Susmitha Joseph, Avijit Dey, Raju Mandal, Rajib Chattopadhyay, Atul Kumar Sahai, Parthasarathi Mukhopadhyay, Sukumarapillai Abhilash   +8 more
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