Proceedings ArticleDOI
A Hybrid Neural Network/Analog Model for Climate Downscaling
Alex J. Cannon
- pp 4595-4600
Reads0
Chats0
TLDR
A hybrid method for multi-site downscaling that combines an artificial neural network and an analog, i.e., k-nearest neighbor, model is presented that can resolve complicated synoptic-to local-scale relationships while preserving spatial relationships between sites.Abstract:
Synoptic downscaling models are used in climatology to model local-scale climate variables from synoptic-scale atmospheric circulation variables. This paper presents a hybrid method for multi-site downscaling that combines an artificial neural network and an analog, i.e., k-nearest neighbor, model. The method can resolve complicated synoptic-to local-scale relationships while preserving spatial relationships between sites. Performance on both synthetic and real-world datasets indicates that the hybrid model is capable of outperforming other forms of analog models used in synoptic downscaling.read more
Citations
More filters
References
More filters
Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Journal ArticleDOI
The Elements of Statistical Learning
TL;DR: Chapter 11 includes more case studies in other areas, ranging from manufacturing to marketing research, and a detailed comparison with other diagnostic tools, such as logistic regression and tree-based methods.
Journal ArticleDOI
NCEP–DOE AMIP-II Reanalysis (R-2)
Masao Kanamitsu,Wesley Ebisuzaki,John S. Woollen,Shi-Keng Yang,J. J. Hnilo,M. Fiorino,Gerald L. Potter +6 more
TL;DR: The NCEP-DOE Atmospheric Model Intercomparison Project (AMIP-II) reanalysis is a follow-on project to the "50-year" (1948-present) N CEP-NCAR Reanalysis Project.
Journal ArticleDOI
North american regional reanalysis
Fedor Mesinger,Geoff DiMego,Eugenia Kalnay,Kenneth E. Mitchell,Perry Shafran,Wesley Ebisuzaki,Dusan Jovic,John S. Woollen,Eric Rogers,Ernesto Hugo Berbery,Michael Ek,Yun Fan,Robert Grumbine,Wayne Higgins,Hong Li,Ying Lin,Geoff Manikin,David F. Parrish,Wei Shi +18 more
TL;DR: The North American Regional Reanalysis (NARR) project as mentioned in this paper uses the NCEP Eta model and its Data Assimilation System (at 32-km-45-layer resolution with 3-hourly output) to capture regional hydrological cycle, the diurnal cycle and other important features of weather and climate variability.
Related Papers (5)
Temporal neural networks for downscaling climate variability and extremes
Yonas Dibike,Paulin Coulibaly +1 more
2006 Special issue: Temporal neural networks for downscaling climate variability and extremes
Yonas Dibike,Paulin Coulibaly +1 more