Evaluation of statistical downscaling model's performance in projecting future climate change scenarios
Statistical downscaling (SD) is preferable to dynamic downscaling to derive local-scale climate change information from large-scale datasets. Many statistical downscaling models are available these days, but comparison of their performance is still inadequately addressed for choosing a reliable SD m...
Main Authors: | Rituraj Shukla, Deepak Khare, Anuj Kumar Dwivedi, Ramesh Pal Rudra, Santosh S. Palmate, C. S. P. Ojha, Vijay P. Singh |
---|---|
Format: | Article |
Language: | English |
Published: |
IWA Publishing
2023-10-01
|
Series: | Journal of Water and Climate Change |
Subjects: | |
Online Access: | http://jwcc.iwaponline.com/content/14/10/3559 |
Similar Items
-
Climate change assessment under greenhouse gases emission scenarios: Urmia Lake Basin
by: Maryam Mirdashtvan, et al.
Published: (2017-03-01) -
Statistical downscaling of global circulation models to assess future climate changes in the Black Volta basin of Ghana
by: Ebenezer K. Siabi, et al.
Published: (2021-12-01) -
Butterflies of Gosekhurd region of Godavari basin across Wainganga River, Central India
by: Kishor G. Patil, et al.
Published: (2019-09-01) -
Comparison of Artificial Neural Network and SDSM Methods in the Downscaling of Annual Rainfall in the HadCM3 Modelling
(Case study: Kerman, Ravar and Rabor)
by: M. Rezaee, et al.
Published: (2015-04-01) -
The prediction of the climate change effect on the temperature parameter by the General Circulation Models HadCM3: a case study of Kerman and Bam
by: Ali Neshat, et al.
Published: (2017-01-01)