Articles | Volume 18, issue 6
https://doi.org/10.5194/npg-18-1013-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-18-1013-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 Dec 2011
Research article |
| 22 Dec 2011
An artificial neural network technique for downscaling GCM outputs to RCM spatial scale
R. Chadwick
Department of Meteorology, University of Reading, UK
now at: Met Office Hadley Centre, Fitzroy rd, Exeter, UK
E. Coppola
The Abdus Salaam International Centre for Theoretical Physics, Trieste, Italy
F. Giorgi
The Abdus Salaam International Centre for Theoretical Physics, Trieste, Italy
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- Prediction of rainfall time series using modular soft computingmethods C. Wu & K. Chau 10.1016/j.engappai.2012.05.023
- Application of multi-scale wavelet entropy and multi-resolution Volterra models for climatic downscaling V. Sehgal et al. 10.1016/j.jhydrol.2016.10.048
- Many-Objective Multi-Scenario Algorithm for Optimal Reservoir Operation Under Future Uncertainties F. Karami & A. Dariane 10.1007/s11269-018-2025-2
- Artificial Neural Network Technique for Statistical Downscaling of Global Climate Model R. Laddimath & N. Patil 10.1007/s12647-018-00299-0
- Seasonal prediction of high‐resolution temperature at 2‐m height over Mongolia during boreal winter using both coupled general circulation model and artificial neural network G. Bayasgalan & J. Ahn 10.1002/joc.5848
- Downscaling and projection of precipitation from general circulation model predictors in an equatorial climate region by the automated regression-based statistical method M. Amin et al. 10.1007/s00704-013-1062-2
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- Forecasting the human and climate impacts on groundwater resources in the irrigated agricultural region of North China Plain H. Chen et al. 10.1002/hyp.14853
- Filling the matrix: an ANOVA-based method to emulate regional climate model simulations for equally-weighted properties of ensembles of opportunity O. Christensen & E. Kjellström 10.1007/s00382-021-06010-5
- Observed and model simulated twenty-first century hydro-climatic change of Northern Ethiopia S. Tesfaye et al. 10.1016/j.ejrh.2019.100595
- Spatio-temporal variations of future wave climate-driven longshore sediment transport in the Gulf of Guinea A. Dahunsi et al. 10.1080/21664250.2023.2290316
- Comparison of Statistical and Dynamic Downscaling Techniques in Generating High-Resolution Temperatures in China from CMIP5 GCMs L. Zhang et al. 10.1175/JAMC-D-19-0048.1
- Evaluation of agricultural water demand under future climate change scenarios in the Loess Plateau of Northern Shaanxi, China S. Sun et al. 10.1016/j.ecolind.2017.09.048
- Climate change impacts on the streamflow of Zarrineh River, Iran F. Yazdandoost & S. Moradian 10.1007/s40333-021-0091-4
- Efficacy of hybrid neural networks in statistical downscaling of precipitation of the Bagmati River basin K. Kumar et al. 10.2166/wcc.2019.259
- A PCA spatial pattern based artificial neural network downscaling model for urban flood hazard assessment J. Carreau & V. Guinot 10.1016/j.advwatres.2020.103821
- Assessment of the FIO-CPS v2.0 in predicting 2-meter air temperature over China Q. Fu et al. 10.1016/j.dynatmoce.2023.101391
- Applying big data beyond small problems in climate research B. Knüsel et al. 10.1038/s41558-019-0404-1
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- Statistical Applications to Downscale GRACE-Derived Terrestrial Water Storage Data and to Fill Temporal Gaps H. Sahour et al. 10.3390/rs12030533
- Wavelet-based predictor screening for statistical downscaling of precipitation and temperature using the artificial neural network method A. Hosseini Baghanam et al. 10.2166/nh.2022.094
- Use of neural networks to predict vault values after implantable collamer lens surgery K. Xu et al. 10.1007/s00417-021-05294-x
- Evaluation of statistical downscaling methods for climate change projections over Spain: Present conditions with perfect predictors A. Hernanz et al. 10.1002/joc.7271
- Application of Wavelet Transform for Bias Correction and Predictor Screening of Climate Data A. Hosseini Baghanam et al. 10.3390/su152115209
- ANN-based statistical downscaling of climatic parameters using decision tree predictor screening method V. Nourani et al. 10.1007/s00704-018-2686-z
- A non-linear and non-stationary perspective for downscaling mean monthly temperature: a wavelet coupled second order Volterra model A. Lakhanpal et al. 10.1007/s00477-017-1444-6
- Evaluation of statistical downscaling methods for climate change projections over Spain: Present conditions with imperfect predictors (global climate model experiment) A. Hernanz et al. 10.1002/joc.7611
- Improved methods for estimating local terrestrial water dynamics from GRACE in the Northern High Plains W. Seyoum & A. Milewski 10.1016/j.advwatres.2017.10.021
- Genetic Programming for the Downscaling of Extreme Rainfall Events on the East Coast of Peninsular Malaysia S. Pour et al. 10.3390/atmos5040914
- The History of Ideas of Downscaling—From Synoptic Dynamics and Spatial Interpolation H. von Storch & E. Zorita 10.3389/fenvs.2019.00021
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- Changes in the design and operational wind due to climate change at the Indian offshore sites S. Kulkarni et al. 10.1016/j.marstruc.2014.02.005
- Conjunction of wavelet-entropy and SOM clustering for multi-GCM statistical downscaling A. Baghanam et al. 10.2166/nh.2018.169
- Application of artificial neural network and predictor screening method for downscaling climatic parameters N. Rouzegari et al. 10.1088/1755-1315/491/1/012002
- The skill of statistical downscaling in future climate with high-resolution climate models as pseudo-reality S. Mendoza Paz & P. Willems 10.1016/j.ejrh.2023.101477
- Data-driven ensemble model to statistically downscale rainfall using nonlinear predictor screening approach V. Nourani et al. 10.1016/j.jhydrol.2018.08.049
- Downscaling rainfall using deep learning long short‐term memory and feedforward neural network D. Tran Anh et al. 10.1002/joc.6066
- Evaluation and projection of daily temperature percentiles from statistical and dynamical downscaling methods A. Casanueva et al. 10.5194/nhess-13-2089-2013
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