Journal ArticleDOI
2006 Special issue: Temporal neural networks for downscaling climate variability and extremes
Yonas Dibike,Paulin Coulibaly +1 more
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The issues of downscaling the outputs of GCMs using a temporal neural network (TNN) approach are presented and it is suggested that the TNN is an efficient method for down scaling both daily precipitation as well as daily temperature series.About:
This article is published in Neural Networks.The article was published on 2006-03-01. It has received 158 citations till now. The article focuses on the topics: Downscaling.read more
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Impacts of climate change on water erosion: A review
Zhiying Li,Haiyan Fang +1 more
TL;DR: In this article, the authors reviewed the achievements regarding the impacts of climate change such as changed rainfall, vegetation cover, and land management on water erosion and pointed out the critical research needs to better understand and predict the responses of soil erosion to a changing climate in the future.
Journal ArticleDOI
Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting
Robert J. Abrahart,François Anctil,Paulin Coulibaly,Christian W. Dawson,Nick J. Mount,Linda See,Asaad Y. Shamseldin,Dimitri Solomatine,Elena Toth,Robert L. Wilby +9 more
TL;DR: The field is now firmly established and the research community involved has much to offer hydrological science, but it will be necessary to converge on more objective and consistent protocols for selecting and treating inputs prior to model development; extracting physically meaningful insights from each proposed solution; and improving transparency in the benchmarking and reporting of experimental case studies.
Journal ArticleDOI
Downscaling precipitation to river basin in India for IPCC SRES scenarios using support vector machine
TL;DR: In this paper, the authors presented a methodology to downscale monthly precipitation to river basin scale in Indian context for special report of emission scenarios (SRES) using Support Vector Machine (SVM).
Journal ArticleDOI
Statistical downscaling of daily precipitation using support vector machines and multivariate analysis
TL;DR: Wang et al. as mentioned in this paper proposed a two-step statistical downscaling method for projection of daily precipitation, where the first step is classification to determine whether the day is dry or wet, and the second is regression to estimate the amount of precipitation conditional on the occurrence of a wet day.
Journal ArticleDOI
Analysis of drought severity-area-frequency curves using a general circulation model and scenario uncertainty
Ashok K. Mishra,Vijay P. Singh +1 more
TL;DR: In this article, the authors investigated the impact of climate change on severity-area-frequency (SAF) curves for annual droughts in the Kansabati River basin, India.
References
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Climate change 2001: the scientific basis
John Theodore Houghton,Y. Ding,David John Griggs,M. Noguer,P. J. van der Linden,X. Dai,K. Maskell,C. A. Johnson +7 more
TL;DR: In this article, the authors present an overview of the climate system and its dynamics, including observed climate variability and change, the carbon cycle, atmospheric chemistry and greenhouse gases, and their direct and indirect effects.
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The NCEP–NCAR 50-Year Reanalysis: Monthly Means CD-ROM and Documentation
Robert Kistler,Eugenia Kalnay,William D. Collins,Suranjana Saha,Glenn H. White,John S. Woollen,Muthuvel Chelliah,Wesley Ebisuzaki,Masao Kanamitsu,Vernon E. Kousky,Huug van den Dool,Roy L. Jenne,M. Fiorino +12 more
TL;DR: The National Centers for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR) have cooperated in a project to produce a retroactive record of more than 50 years of global analyses of atmospheric fields in support of the needs of the research and climate monitoring communities as mentioned in this paper.
Journal ArticleDOI
sdsm — a decision support tool for the assessment of regional climate change impacts
TL;DR: Statistical DownScaling Model (sdsm) facilitates the rapid development of multiple, low-cost, single-site scenarios of daily surface weather variables under current and future regional climate forcing.
Book
Neural and adaptive systems : fundamentals through simulations
TL;DR: Data Fitting with Linear Models, Designing and Training MLPs, and Function Approximation withMLPs, Radial Basis Functions, and Support Vector Machines.
Journal ArticleDOI
Hydrologic impact of climate change in the Saguenay watershed: comparison of downscaling methods and hydrologic models
Yonas Dibike,Paulin Coulibaly +1 more
TL;DR: In this article, the authors applied two types of statistical (a stochastic and a regression based) downscaling techniques to generate the possible future values of local meteorological variables such as precipitation and temperature in the Chute-du-Diable sub-basin of the Saguenay watershed in northern Quebec, Canada.
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