Reduction of the uncertainties in the hydrological projections in Korean river basins using dynamically downscaled climate projections
Abstract How the value of higher-resolution climate variables dynamically downscaled can affect the hydrological impact assessment has been a long standing issue. This study investigates the potential benefit of high-resolution climate data locally tailored over South Korea in terms o...
Main Authors: | Qiu, Liying, Kim, Jeong-Bae, Kim, Seon-Ho, Choi, Yeon-Woo, Im, Eun-Soon, Bae, Deg-Hyo |
---|---|
Other Authors: | Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology) |
Format: | Article |
Language: | English |
Published: |
Springer Berlin Heidelberg
2022
|
Online Access: | https://hdl.handle.net/1721.1/145349 |
Similar Items
-
Uncertainty in future projections of precipitation decline over Mesopotamia
by: Choi, Yeon-Woo, et al.
Published: (2023) -
Uncertainty quantification framework for combined statistical spatial downscaling and temporal disaggregation for climate change impact studies on hydrology
by: Rajendran Queen Suraajini
Published: (2017) -
Evaluation of machine learning tools as a statistical downscaling tool : temperatures projections for multi-stations for Thames River Basin, Canada
by: Burn, Donald H., et al.
Published: (2013) -
Uncertainty analysis of extreme hydrological events in the semi-arid Zayanderood Basin, central Iran
by: Mirzaei, Majid
Published: (2012) -
Simulation of hydrological processes and effects of engineering projects on the Karkheh River Basin and its wetland using SWAT2009
by: Ghobadi, Yasser, et al.
Published: (2015)