NDLI: A Novel Spatiotemporal Statistical Downscaling Method for Hourly Rainfall

Content Provider	Springer Nature Link
Author	Lin, Gwo Fong Chang, Ming Jui Wang, Chian Fu
Copyright Year	2017
Abstract	Finer spatiotemporal resolution rainfall data is essential for assessing hydrological impacts of climate change on medium and small basins. However, existing methods pay less attention to the inter-day correlation and diurnal cycle, which can strongly influence the hydrological cycle. To address this problem, we present a spatiotemporal downscaling method that is capable of reproducing the inter-day correlation, the diurnal cycle, and rainfall statistics on daily and hourly scales. The large-scale datasets, which we obtained from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis dataset (NNR) and general circulation model (GCM) outputs, and local rainfall data are analyzed to assess the impacts of climate change on rainfall. Our proposed method consists of two steps: spatial downscaling and temporal downscaling. We apply spatial downscaling first to obtain the relationship between large-scale datasets and daily rainfall at a site scale using a k-nearest neighbor method (KNN). Then, we conduct an hourly downscaling of daily rainfall in the second step using a genetic algorithm-based KNN (GAKNN) with the inter-day correlation and the diurnal cycle. Furthermore, we analyzed changes in rainfall statistics for the periods 2046–2065 and 2081–2100 under the A2, A1B, and B1 scenarios of the third generation Coupled Global Climate Model (CGCM3.1) and Bergen Climate Model version 2 (BCM2.0). An application of our proposed method to the Shihmen Reservoir basin (Taiwan) has shown that it could accurately reproduce local rainfall and its statistics on daily and hourly scales. Overall, the results demonstrated that the proposed spatiotemporal method is a powerful tool for downscaling hourly rainfall data from a large-scale dataset. The understanding of future changes of rainfall characteristics through our proposed method is also expected to assist the planning and management of water resources systems.
Starting Page	3465
Ending Page	3489
Page Count	25
File Format	PDF
ISSN	09204741
Journal	Water Resources Management
Volume Number	31
Issue Number	11
e-ISSN	15731650
Language	English
Publisher	Springer Netherlands
Publisher Date	2017-04-26
Publisher Institution	European Water Resources Association (EWRA)
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Climate change Rainfall Statistical downscaling K-nearest neighbor method Genetic algorithm Hydrogeology Hydrology/Water Resources Geotechnical Engineering & Applied Earth Sciences Atmospheric Sciences Civil Engineering Environment
Content Type	Text
Resource Type	Article
Subject	Water Science and Technology Civil and Structural Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Downscaling Monsoon Rainfall over River Godavari Basin under Different Climate-Change Scenarios

A Hybrid Statistical Downscaling Method Based on the Classification of Rainfall Patterns

Statistical Downscaling Using Local Polynomial Regression for Rainfall Predictions – A Case Study

Potential Impact of Climate Change on Rainfall Intensity-Duration-Frequency Curves in Roorkee, India

Equidistance Quantile Matching Method for Updating IDFCurves under Climate Change

The Application of a Statistical Downscaling Process to Derive 21st Century River Flow Predictions Using a Global Climate Simulation

Uncertainty Modeling of Statistical Downscaling to Assess Climate Change Impacts on Temperature and Precipitation

Development of a Nonparametric Model for Multivariate Hydrological Monthly Series Simulation Considering Climate Change Impacts

Basin Scale Water Resources Systems Modeling Under Cascading Uncertainties

A Novel Spatiotemporal Statistical Downscaling Method for Hourly Rainfall

Similar Documents

Downscaling Monsoon Rainfall over River Godavari Basin under Different Climate-Change Scenarios

A Hybrid Statistical Downscaling Method Based on the Classification of Rainfall Patterns

Statistical Downscaling Using Local Polynomial Regression for Rainfall Predictions – A Case Study

Potential Impact of Climate Change on Rainfall Intensity-Duration-Frequency Curves in Roorkee, India

Equidistance Quantile Matching Method for Updating IDFCurves under Climate Change

The Application of a Statistical Downscaling Process to Derive 21st Century River Flow Predictions Using a Global Climate Simulation

Uncertainty Modeling of Statistical Downscaling to Assess Climate Change Impacts on Temperature and Precipitation

Development of a Nonparametric Model for Multivariate Hydrological Monthly Series Simulation Considering Climate Change Impacts

Basin Scale Water Resources Systems Modeling Under Cascading Uncertainties

A Novel Spatiotemporal Statistical Downscaling Method for Hourly Rainfall