Show simple item record

dc.contributor.authorKhaki, M.
dc.contributor.authorAwange, Joseph
dc.date.accessioned2021-11-25T02:39:01Z
dc.date.available2021-11-25T02:39:01Z
dc.date.issued2020
dc.identifier.citationKhaki, M. and Awange, J. 2020. Altimetry-derived surface water data assimilation over the Nile Basin. Science of the Total Environment. 735: ARTN 139008.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/86609
dc.identifier.doi10.1016/j.scitotenv.2020.139008
dc.description.abstract

Global hydrological models facilitate studying of water resources and their variations over time. The accuracies of these models are enhanced when combined with ever-increasing satellite remotely sensed data. Traditionally, these combinations are done via data assimilation approach, which permits the use of improved hydrological outputs to study regions with limited in-situ measurements such as the Nile Basin. This study aims at using the state-of-art satellite radar altimetry data to enhance a land-based hydrological model for studying water storage changes over the Nile Basin. Altimetry-derived surface water storage, for the first time, is assimilated into the model using the ensemble Kalman filter (EnKF) for the period of 2003 to 2016. Multiple datasets from ground measurements, as well as space observations, are used to evaluate the performance of the assimilated satellite altimetry data. Results indicate that the assimilation successfully improves model outputs, especially the surface water component. The process increases the correlation between surface water storage changes and water level variations from satellite radar altimetry by 0.44 and reduces the surface water discharge root-mean-square errors (RMSE) by approximately 33%.

dc.languageEnglish
dc.publisherELSEVIER
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectEnvironmental Sciences
dc.subjectEnvironmental Sciences & Ecology
dc.subjectSATELLITE RADAR ALTIMETRY
dc.subjectSEQUENTIAL DATA ASSIMILATION
dc.subjectWAVE-FORM RETRACKING
dc.subjectSTORAGE CHANGES
dc.subjectMODEL
dc.subjectGRACE
dc.subjectEVAPOTRANSPIRATION
dc.subjectPREDICTABILITY
dc.subjectTEMPERATURE
dc.subjectLIMITATIONS
dc.titleAltimetry-derived surface water data assimilation over the Nile Basin
dc.typeJournal Article
dcterms.source.volume735
dcterms.source.issn0048-9697
dcterms.source.titleScience of the Total Environment
dc.date.updated2021-11-25T02:39:01Z
curtin.departmentSchool of Earth and Planetary Sciences (EPS)
curtin.accessStatusIn process
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidAwange, Joseph [0000-0003-3533-613X]
curtin.contributor.researcheridAwange, Joseph [A-3998-2008]
curtin.identifier.article-numberARTN 139008
dcterms.source.eissn1879-1026
curtin.contributor.scopusauthoridAwange, Joseph [6603092635]


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record