Evaluation of Global Water Resources Reanalysis Runoff Products for Local Water Resources Applications: Case Study-Upper Blue Nile Basin of Ethiopia
The increasing availability of global observation datasets, both from in situ and remote sensors, and advancements in earth system models and data assimilation algorithms have generated a number of water resources reanalysis products that are available at global scale and high spatial and temporal r...
Gespeichert in:
Veröffentlicht in: | Water resources management 2020-05, Vol.34 (7), p.2157-2177 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2177 |
---|---|
container_issue | 7 |
container_start_page | 2157 |
container_title | Water resources management |
container_volume | 34 |
creator | Lakew, Haileyesus Belay Moges, Semu Ayalew Anagnostou, Emmanouil N. Nikolopoulos, Efthymios I. Asfaw, Dereje Hailu |
description | The increasing availability of global observation datasets, both from in situ and remote sensors, and advancements in earth system models and data assimilation algorithms have generated a number of water resources reanalysis products that are available at global scale and high spatial and temporal resolutions. These products hold great potential for water resources applications, but their levels of uncertainty need to be evaluated at local scale. In this work, we evaluate the runoff product from two multi-model global water resources reanalyses (WRRs), available at 0.5° (WRR1) and 0.25° (WRR2) grid resolutions, which were produced within the framework of a European Union project (eartH2Observe) in the upper Blue Nile basin. Analysis indicates that the recently released WRR2 UniK product exhibits consistently better performance statistics than the earlier coarser-resolution WRR1 and the rest of the WRR2 products at all ranges of temporal and spatial scale evaluated. Streamflow simulations based on gauged rainfall forcing and the locally set hydrological model CREST outperforms all the other products, including UniK. Global hydrological products can be a data source for various water resources planning and management applications in data-scarce areas of Africa. This study cautions against using available global hydrological products without prior uncertainty evaluation. |
doi_str_mv | 10.1007/s11269-019-2190-y |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2174069921</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2174069921</sourcerecordid><originalsourceid>FETCH-LOGICAL-c359t-a0c7aec3c815e93b3c0137152ec9dc1cafe36a6220fb82407e352fdabdfdfb1e3</originalsourceid><addsrcrecordid>eNp1kM1OwzAQhC0EEqXwANwscTbs2k1Sc4Oq_EgVIH7E0XIcG4JCHewEKe_BA-O2SFzgtHOYb3Z3CDlEOEaA4iQi8lwyQMk4SmDDFhlhVgiGeQbbZASSA5sUE9wlezG-ASRKwoh8zT910-uu9kvqHb1sfKkb-qw7G-i9jb4Pxsak9FI3Q6yT7JfeOXoXfNWbLlLnA1148wd01rZNbdbR8ZTOdLT0oeurgT21bTKeN72lN3Vj6bmO9Xr7vHutfVvrfbLjdBPtwc8ck6eL-ePsii1uL69nZwtmRCY7psEU2hphpphZKUphAEWBGbdGVgaNdlbkOuccXDnlEyisyLirdFm5ypVoxZgcbXLb4D96Gzv1lm5Pn0bFsZhALiXH5MKNywQfY7BOtaF-12FQCGpVvtqUr1L5alW-GhLDN0xM3uWLDb_J_0PfJ-mKsA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2174069921</pqid></control><display><type>article</type><title>Evaluation of Global Water Resources Reanalysis Runoff Products for Local Water Resources Applications: Case Study-Upper Blue Nile Basin of Ethiopia</title><source>SpringerNature Journals</source><creator>Lakew, Haileyesus Belay ; Moges, Semu Ayalew ; Anagnostou, Emmanouil N. ; Nikolopoulos, Efthymios I. ; Asfaw, Dereje Hailu</creator><creatorcontrib>Lakew, Haileyesus Belay ; Moges, Semu Ayalew ; Anagnostou, Emmanouil N. ; Nikolopoulos, Efthymios I. ; Asfaw, Dereje Hailu</creatorcontrib><description>The increasing availability of global observation datasets, both from in situ and remote sensors, and advancements in earth system models and data assimilation algorithms have generated a number of water resources reanalysis products that are available at global scale and high spatial and temporal resolutions. These products hold great potential for water resources applications, but their levels of uncertainty need to be evaluated at local scale. In this work, we evaluate the runoff product from two multi-model global water resources reanalyses (WRRs), available at 0.5° (WRR1) and 0.25° (WRR2) grid resolutions, which were produced within the framework of a European Union project (eartH2Observe) in the upper Blue Nile basin. Analysis indicates that the recently released WRR2 UniK product exhibits consistently better performance statistics than the earlier coarser-resolution WRR1 and the rest of the WRR2 products at all ranges of temporal and spatial scale evaluated. Streamflow simulations based on gauged rainfall forcing and the locally set hydrological model CREST outperforms all the other products, including UniK. Global hydrological products can be a data source for various water resources planning and management applications in data-scarce areas of Africa. This study cautions against using available global hydrological products without prior uncertainty evaluation.</description><identifier>ISSN: 0920-4741</identifier><identifier>EISSN: 1573-1650</identifier><identifier>DOI: 10.1007/s11269-019-2190-y</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Atmospheric Sciences ; Case studies ; Civil Engineering ; Computer simulation ; Data ; Data collection ; Earth ; Earth and Environmental Science ; Earth Sciences ; Environment ; Evaluation ; Frameworks ; Geotechnical Engineering & Applied Earth Sciences ; Hydrogeology ; Hydrologic models ; Hydrology ; Hydrology/Water Resources ; Products ; Rain ; Rainfall ; Remote observing ; Remote sensors ; Resource management ; Runoff ; Statistical analysis ; Statistical methods ; Stream discharge ; Stream flow ; Uncertainty ; Water resources</subject><ispartof>Water resources management, 2020-05, Vol.34 (7), p.2157-2177</ispartof><rights>Springer Nature B.V. 2019</rights><rights>Springer Nature B.V. 2019.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-a0c7aec3c815e93b3c0137152ec9dc1cafe36a6220fb82407e352fdabdfdfb1e3</citedby><cites>FETCH-LOGICAL-c359t-a0c7aec3c815e93b3c0137152ec9dc1cafe36a6220fb82407e352fdabdfdfb1e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11269-019-2190-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11269-019-2190-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Lakew, Haileyesus Belay</creatorcontrib><creatorcontrib>Moges, Semu Ayalew</creatorcontrib><creatorcontrib>Anagnostou, Emmanouil N.</creatorcontrib><creatorcontrib>Nikolopoulos, Efthymios I.</creatorcontrib><creatorcontrib>Asfaw, Dereje Hailu</creatorcontrib><title>Evaluation of Global Water Resources Reanalysis Runoff Products for Local Water Resources Applications: Case Study-Upper Blue Nile Basin of Ethiopia</title><title>Water resources management</title><addtitle>Water Resour Manage</addtitle><description>The increasing availability of global observation datasets, both from in situ and remote sensors, and advancements in earth system models and data assimilation algorithms have generated a number of water resources reanalysis products that are available at global scale and high spatial and temporal resolutions. These products hold great potential for water resources applications, but their levels of uncertainty need to be evaluated at local scale. In this work, we evaluate the runoff product from two multi-model global water resources reanalyses (WRRs), available at 0.5° (WRR1) and 0.25° (WRR2) grid resolutions, which were produced within the framework of a European Union project (eartH2Observe) in the upper Blue Nile basin. Analysis indicates that the recently released WRR2 UniK product exhibits consistently better performance statistics than the earlier coarser-resolution WRR1 and the rest of the WRR2 products at all ranges of temporal and spatial scale evaluated. Streamflow simulations based on gauged rainfall forcing and the locally set hydrological model CREST outperforms all the other products, including UniK. Global hydrological products can be a data source for various water resources planning and management applications in data-scarce areas of Africa. This study cautions against using available global hydrological products without prior uncertainty evaluation.</description><subject>Atmospheric Sciences</subject><subject>Case studies</subject><subject>Civil Engineering</subject><subject>Computer simulation</subject><subject>Data</subject><subject>Data collection</subject><subject>Earth</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environment</subject><subject>Evaluation</subject><subject>Frameworks</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydrogeology</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Hydrology/Water Resources</subject><subject>Products</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Remote observing</subject><subject>Remote sensors</subject><subject>Resource management</subject><subject>Runoff</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Uncertainty</subject><subject>Water resources</subject><issn>0920-4741</issn><issn>1573-1650</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kM1OwzAQhC0EEqXwANwscTbs2k1Sc4Oq_EgVIH7E0XIcG4JCHewEKe_BA-O2SFzgtHOYb3Z3CDlEOEaA4iQi8lwyQMk4SmDDFhlhVgiGeQbbZASSA5sUE9wlezG-ASRKwoh8zT910-uu9kvqHb1sfKkb-qw7G-i9jb4Pxsak9FI3Q6yT7JfeOXoXfNWbLlLnA1148wd01rZNbdbR8ZTOdLT0oeurgT21bTKeN72lN3Vj6bmO9Xr7vHutfVvrfbLjdBPtwc8ck6eL-ePsii1uL69nZwtmRCY7psEU2hphpphZKUphAEWBGbdGVgaNdlbkOuccXDnlEyisyLirdFm5ypVoxZgcbXLb4D96Gzv1lm5Pn0bFsZhALiXH5MKNywQfY7BOtaF-12FQCGpVvtqUr1L5alW-GhLDN0xM3uWLDb_J_0PfJ-mKsA</recordid><startdate>20200501</startdate><enddate>20200501</enddate><creator>Lakew, Haileyesus Belay</creator><creator>Moges, Semu Ayalew</creator><creator>Anagnostou, Emmanouil N.</creator><creator>Nikolopoulos, Efthymios I.</creator><creator>Asfaw, Dereje Hailu</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L.G</scope><scope>L6V</scope><scope>LK8</scope><scope>M0C</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20200501</creationdate><title>Evaluation of Global Water Resources Reanalysis Runoff Products for Local Water Resources Applications: Case Study-Upper Blue Nile Basin of Ethiopia</title><author>Lakew, Haileyesus Belay ; Moges, Semu Ayalew ; Anagnostou, Emmanouil N. ; Nikolopoulos, Efthymios I. ; Asfaw, Dereje Hailu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-a0c7aec3c815e93b3c0137152ec9dc1cafe36a6220fb82407e352fdabdfdfb1e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Atmospheric Sciences</topic><topic>Case studies</topic><topic>Civil Engineering</topic><topic>Computer simulation</topic><topic>Data</topic><topic>Data collection</topic><topic>Earth</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environment</topic><topic>Evaluation</topic><topic>Frameworks</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydrogeology</topic><topic>Hydrologic models</topic><topic>Hydrology</topic><topic>Hydrology/Water Resources</topic><topic>Products</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Remote observing</topic><topic>Remote sensors</topic><topic>Resource management</topic><topic>Runoff</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Stream discharge</topic><topic>Stream flow</topic><topic>Uncertainty</topic><topic>Water resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lakew, Haileyesus Belay</creatorcontrib><creatorcontrib>Moges, Semu Ayalew</creatorcontrib><creatorcontrib>Anagnostou, Emmanouil N.</creatorcontrib><creatorcontrib>Nikolopoulos, Efthymios I.</creatorcontrib><creatorcontrib>Asfaw, Dereje Hailu</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>ABI/INFORM Global</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Water resources management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lakew, Haileyesus Belay</au><au>Moges, Semu Ayalew</au><au>Anagnostou, Emmanouil N.</au><au>Nikolopoulos, Efthymios I.</au><au>Asfaw, Dereje Hailu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of Global Water Resources Reanalysis Runoff Products for Local Water Resources Applications: Case Study-Upper Blue Nile Basin of Ethiopia</atitle><jtitle>Water resources management</jtitle><stitle>Water Resour Manage</stitle><date>2020-05-01</date><risdate>2020</risdate><volume>34</volume><issue>7</issue><spage>2157</spage><epage>2177</epage><pages>2157-2177</pages><issn>0920-4741</issn><eissn>1573-1650</eissn><abstract>The increasing availability of global observation datasets, both from in situ and remote sensors, and advancements in earth system models and data assimilation algorithms have generated a number of water resources reanalysis products that are available at global scale and high spatial and temporal resolutions. These products hold great potential for water resources applications, but their levels of uncertainty need to be evaluated at local scale. In this work, we evaluate the runoff product from two multi-model global water resources reanalyses (WRRs), available at 0.5° (WRR1) and 0.25° (WRR2) grid resolutions, which were produced within the framework of a European Union project (eartH2Observe) in the upper Blue Nile basin. Analysis indicates that the recently released WRR2 UniK product exhibits consistently better performance statistics than the earlier coarser-resolution WRR1 and the rest of the WRR2 products at all ranges of temporal and spatial scale evaluated. Streamflow simulations based on gauged rainfall forcing and the locally set hydrological model CREST outperforms all the other products, including UniK. Global hydrological products can be a data source for various water resources planning and management applications in data-scarce areas of Africa. This study cautions against using available global hydrological products without prior uncertainty evaluation.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11269-019-2190-y</doi><tpages>21</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0920-4741 |
ispartof | Water resources management, 2020-05, Vol.34 (7), p.2157-2177 |
issn | 0920-4741 1573-1650 |
language | eng |
recordid | cdi_proquest_journals_2174069921 |
source | SpringerNature Journals |
subjects | Atmospheric Sciences Case studies Civil Engineering Computer simulation Data Data collection Earth Earth and Environmental Science Earth Sciences Environment Evaluation Frameworks Geotechnical Engineering & Applied Earth Sciences Hydrogeology Hydrologic models Hydrology Hydrology/Water Resources Products Rain Rainfall Remote observing Remote sensors Resource management Runoff Statistical analysis Statistical methods Stream discharge Stream flow Uncertainty Water resources |
title | Evaluation of Global Water Resources Reanalysis Runoff Products for Local Water Resources Applications: Case Study-Upper Blue Nile Basin of Ethiopia |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T13%3A05%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluation%20of%20Global%20Water%20Resources%20Reanalysis%20Runoff%20Products%20for%20Local%20Water%20Resources%20Applications:%20Case%20Study-Upper%20Blue%20Nile%20Basin%20of%20Ethiopia&rft.jtitle=Water%20resources%20management&rft.au=Lakew,%20Haileyesus%20Belay&rft.date=2020-05-01&rft.volume=34&rft.issue=7&rft.spage=2157&rft.epage=2177&rft.pages=2157-2177&rft.issn=0920-4741&rft.eissn=1573-1650&rft_id=info:doi/10.1007/s11269-019-2190-y&rft_dat=%3Cproquest_cross%3E2174069921%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2174069921&rft_id=info:pmid/&rfr_iscdi=true |