Show simple item record

contributor authorPetheram, Cuan
contributor authorRustomji, Paul
contributor authorMcVicar, Tim R.
contributor authorCai, WenJu
contributor authorChiew, Francis H. S.
contributor authorVleeshouwer, Jamie
contributor authorVan Niel, Thomas G.
contributor authorLi, LingTao
contributor authorCresswell, Richard G.
contributor authorDonohue, Randall J.
contributor authorTeng, Jin
contributor authorPerraud, Jean-Michel
date accessioned2017-06-09T17:14:42Z
date available2017-06-09T17:14:42Z
date copyright2012/04/01
date issued2011
identifier issn1525-755X
identifier otherams-81740.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4224776
description abstracthe majority of the world?s population growth to 2050 is projected to occur in the tropics. Hence, there is a serious need for robust methods for undertaking water resource assessments to underpin the sustainable management of water in tropical regions. This paper describes the largest and most comprehensive assessment of the future impacts of runoff undertaken in a tropical region using conceptual rainfall?runoff models (RRMs). Five conceptual RRMs were calibrated using data from 115 streamflow gauging stations, and model parameters were regionalized using a combination of spatial proximity and catchment similarity. Future rainfall and evapotranspiration projections (denoted here as GCMES) were transformed to catchment-scale variables by empirically scaling (ES) the historical climate series, informed by 15 global climate models (GCMs), to reflect a 1°C increase in global average surface air temperature. Using the best-performing RRM ensemble, approximately half the GCMES used resulted in a spatially averaged increase in mean annual runoff (by up to 29%) and half resulted in a decrease (by up to 26%). However, ~70% of the GCMES resulted in a difference of within ±5% of the historical rainfall (1930?2007). The range in modeled impact on runoff, as estimated by five RRMs (for individual GCMES), was compared to the range in modeled runoff using 15 GCMES (for individual RRMs). For mid- to high runoff metrics, better predictions will come from improved GCMES projections. A new finding of this study is that in the wet?dry tropics, for extremely large runoff events and low flows, improvements are needed in both GCMES and rainfall?runoff modeling.
publisherAmerican Meteorological Society
titleEstimating the Impact of Projected Climate Change on Runoff across the Tropical Savannas and Semiarid Rangelands of Northern Australia
typeJournal Paper
journal volume13
journal issue2
journal titleJournal of Hydrometeorology
identifier doi10.1175/JHM-D-11-062.1
journal fristpage483
journal lastpage503
treeJournal of Hydrometeorology:;2011:;Volume( 013 ):;issue: 002
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record