Flood and drought hydrologic monitoring: the role of model parameter uncertainty

Land surface modeling, in conjunction with numerical weather forecasting and satellite remote sensing, is playing an increasing role in global monitoring and prediction of extreme hydrologic events (i.e., floods and droughts). However, uncertainties in the meteorological forcings, model structure, a...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Hydrology and earth system sciences Ročník 19; číslo 7; s. 3239 - 3251
Hlavní autori:	Chaney, N. W., Herman, J. D., Reed, P. M., Wood, E. F.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Katlenburg-Lindau Copernicus GmbH 24.07.2015 Copernicus Publications
Predmet:	Analysis Climate Climate models Climatic extremes Datasets Drought Drought monitoring Environmental monitoring Evaluation Flood predictions Floods Flow velocity Hydrologic cycle Hydrologic drought Hydrology Infiltration Infiltration capacity Land surface models Modelling Numerical weather forecasting Numerical weather prediction Parameter estimation Parameter identification Parameter sensitivity Parameter uncertainty Parameters Precipitation Predictions Reliability analysis Remote monitoring Remote sensing Runoff Satellite remote sensing Satellites Sensitivity analysis Uncertainty Vegetation Weather forecasting
ISSN:	1607-7938, 1027-5606, 1607-7938
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	Land surface modeling, in conjunction with numerical weather forecasting and satellite remote sensing, is playing an increasing role in global monitoring and prediction of extreme hydrologic events (i.e., floods and droughts). However, uncertainties in the meteorological forcings, model structure, and parameter identifiability limit the reliability of model predictions. This study focuses on the latter by assessing two potential weaknesses that emerge due to limitations in our global runoff observations: (1) the limits of identifying model parameters at coarser timescales than those at which the extreme events occur, and (2) the negative impacts of not properly accounting for model parameter equifinality in the predictions of extreme events. To address these challenges, petascale parallel computing is used to perform the first global-scale, 10 000 member ensemble-based evaluation of plausible model parameters using the VIC (Variable Infiltration Capacity) land surface model, aiming to characterize the impact of parameter identifiability on the uncertainty in flood and drought predictions. Additionally, VIC's global-scale parametric sensitivities are assessed at the annual, monthly, and daily timescales to determine whether coarse-timescale observations can properly constrain extreme events. Global and climate type results indicate that parameter uncertainty remains an important concern for predicting extreme events even after applying monthly and annual constraints to the ensemble, suggesting a need for improved prior distributions of the model parameters as well as improved observations. This study contributes a comprehensive evaluation of land surface modeling for global flood and drought monitoring and suggests paths forward to overcome the challenges posed by parameter uncertainty.
AbstractList	Land surface modeling, in conjunction with numerical weather forecasting and satellite remote sensing, is playing an increasing role in global monitoring and prediction of extreme hydrologic events (i.e., floods and droughts). However, uncertainties in the meteorological forcings, model structure, and parameter identifiability limit the reliability of model predictions. This study focuses on the latter by assessing two potential weaknesses that emerge due to limitations in our global runoff observations: (1) the limits of identifying model parameters at coarser timescales than those at which the extreme events occur, and (2) the negative impacts of not properly accounting for model parameter equifinality in the predictions of extreme events. To address these challenges, petascale parallel computing is used to perform the first global-scale, 10 000 member ensemble-based evaluation of plausible model parameters using the VIC (Variable Infiltration Capacity) land surface model, aiming to characterize the impact of parameter identifiability on the uncertainty in flood and drought predictions. Additionally, VIC's global-scale parametric sensitivities are assessed at the annual, monthly, and daily timescales to determine whether coarse-timescale observations can properly constrain extreme events. Global and climate type results indicate that parameter uncertainty remains an important concern for predicting extreme events even after applying monthly and annual constraints to the ensemble, suggesting a need for improved prior distributions of the model parameters as well as improved observations. This study contributes a comprehensive evaluation of land surface modeling for global flood and drought monitoring and suggests paths forward to overcome the challenges posed by parameter uncertainty.
Audience	Academic
Author	Herman, J. D. Chaney, N. W. Reed, P. M. Wood, E. F.
Author_xml	– sequence: 1 givenname: N. W. surname: Chaney fullname: Chaney, N. W. – sequence: 2 givenname: J. D. surname: Herman fullname: Herman, J. D. – sequence: 3 givenname: P. M. surname: Reed fullname: Reed, P. M. – sequence: 4 givenname: E. F. orcidid: 0000-0001-7037-9675 surname: Wood fullname: Wood, E. F.
BookMark	eNp9Uk1r3DAUNCWFJml-QG-CnnpwIlmSLfUWQtMuBFra3MXTh71abGsrydD999F2Q5ItJeigxzAzb5DmrDqZw-yq6gPBl5xIdrV2KdVE1rShsm4w4W-qU9Liru4kFScv5nfVWUobjBsh2ua0-nE7hmARzBbZGJZhndF6V6YxDN6gKcw-h-jn4TPKa4cK7lDoC27diLYQYXLZRbTMxsUMfs6799XbHsbkLh7v8-r-9sv9zbf67vvX1c31XW04IblEYawVnIgW65Kq40z3omkplxJbho12Etq2YdJQoRuNAbDFWgPrpcG9pOfV6mBrA2zUNvoJ4k4F8OovEOKgIGZvRqeg1VI7Zo0GyzjlAM4Sp5npJBccQ_H6ePDaxvB7cSmrTVjiXNKrhhHWkbbr6GssUowY4Zx2z6wBymo_9yFHMJNPRl0zQThmWPDCuvwPqxzrJm_Kz_a-4EeCT0eCwsnuTx5gSUmtfv085pID18SQUnT90_MQrPZlUfuylNBqXxa1L0vRdP9ojM-QfVkTwY-vKB8A5PfEDw
CitedBy_id	crossref_primary_10_1029_2017WR021489 crossref_primary_10_5194_hess_25_1307_2021 crossref_primary_10_3390_w15213741 crossref_primary_10_5194_hess_26_3419_2022 crossref_primary_10_1080_02626667_2018_1499025 crossref_primary_10_1007_s40333_025_0024_8 crossref_primary_10_5194_hess_23_4561_2019 crossref_primary_10_1016_j_jhydrol_2023_129277 crossref_primary_10_5194_nhess_18_2471_2018 crossref_primary_10_1088_1748_9326_add27e crossref_primary_10_5194_hess_20_4655_2016 crossref_primary_10_1016_j_jhydrol_2025_133678 crossref_primary_10_1029_2018WR022797 crossref_primary_10_5194_hess_21_2301_2017 crossref_primary_10_1029_2019WR025230 crossref_primary_10_1029_2023WR034841 crossref_primary_10_1080_02626667_2022_2035388 crossref_primary_10_1029_2018JD030140 crossref_primary_10_1029_2022JD037634 crossref_primary_10_3390_w15183286 crossref_primary_10_1089_ees_2020_0365 crossref_primary_10_1016_j_envsoft_2016_09_012 crossref_primary_10_1002_2016JD024821 crossref_primary_10_1080_02626667_2020_1810252 crossref_primary_10_1088_1748_9326_acdae8 crossref_primary_10_1016_j_jhydrol_2017_03_022 crossref_primary_10_3390_w10121793 crossref_primary_10_1007_s11227_022_04816_6 crossref_primary_10_1016_j_envsoft_2024_106046 crossref_primary_10_1146_annurev_environ_102017_030052 crossref_primary_10_1007_s00267_018_1104_8 crossref_primary_10_1016_j_rse_2018_07_017 crossref_primary_10_1016_j_envsoft_2022_105328 crossref_primary_10_5194_hess_22_4145_2018 crossref_primary_10_1007_s12517_018_4095_0 crossref_primary_10_5194_hess_22_1775_2018 crossref_primary_10_1016_j_heliyon_2024_e32879 crossref_primary_10_1016_j_jhydrol_2024_132193 crossref_primary_10_1002_hyp_10891 crossref_primary_10_5194_hess_25_6339_2021 crossref_primary_10_1029_2022WR034263 crossref_primary_10_1175_JHM_D_16_0284_1 crossref_primary_10_1016_j_wace_2019_100240 crossref_primary_10_1029_2022MS003312 crossref_primary_10_5194_hess_20_2207_2016
Cites_doi	10.1029/2009JD012035 10.1016/j.ress.2006.04.015 10.5194/hess-17-5109-2013 10.1029/2005WR004362 10.1007/s11004-014-9530-5 10.1002/joc.3711 10.1080/02626667.2013.803183 10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2 10.1175/JCLI3790.1 10.1029/2012JD017521 10.1175/1520-0442(2001)014<3307:PTDOGR>2.0.CO;2 10.1007/s00477-005-0006-5 10.1002/hyp.10391 10.1016/j.ejor.2012.11.047 10.1016/B978-0-444-89831-9.50016-8 10.1029/2007WR006513 10.1016/0921-8181(95)00046-1 10.1016/j.jhydrol.2005.07.007 10.1029/2011JD016051 10.1175/JHM560.1 10.1080/00401706.1979.10489755 10.1029/2005GL025604 10.1029/2006JD008288 10.1029/2010JD015139 10.1098/rstb.2005.1754 10.1016/j.jhydrol.2013.12.050 10.1109/36.649788 10.1029/2008EO100001 10.1175/1520-0477-83.8.1181 10.1175/1520-0442(2000)013<2217:RTCSTC>2.0.CO;2 10.1046/j.1365-2486.2000.00296.x 10.1016/S0022-1694(03)00168-9 10.1029/2006JD007534 10.5194/hess-13-999-2009 10.5194/hess-17-4577-2013 10.1029/2010WR010090 10.1016/S0022-1694(02)00283-4 10.1016/0043-1354(80)90040-8 10.1029/2010WR009946 10.1016/j.jhydrol.2009.06.005 10.1002/hyp.6989 10.1016/j.jhydrol.2014.05.014 10.1002/hyp.7568 10.1029/1999GB001254 10.1175/BAMS-D-12-00124.1 10.1127/0941-2948/2006/0130 10.1109/GEOSS.2011.5948940 10.1029/2005WR004820 10.1201/b16500 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2 10.1126/science.289.5487.2068
ContentType	Journal Article
Copyright	COPYRIGHT 2015 Copernicus GmbH Copyright Copernicus GmbH 2015 2015. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml	– notice: COPYRIGHT 2015 Copernicus GmbH – notice: Copyright Copernicus GmbH 2015 – notice: 2015. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID	AAYXX CITATION ISR 7QH 7TG 7UA 8FD 8FE 8FG ABJCF ABUWG AEUYN AFKRA ATCPS AZQEC BENPR BFMQW BGLVJ BHPHI BKSAR C1K CCPQU DWQXO F1W FR3 GNUQQ H96 HCIFZ KL. KR7 L.G L6V M7S PATMY PCBAR PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS PYCSY DOA
DOI	10.5194/hess-19-3239-2015
DatabaseName	CrossRef Gale In Context: Science Aqualine Meteorological & Geoastrophysical Abstracts Water Resources Abstracts Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Agricultural & Environmental Science Collection ProQuest Central Essentials ProQuest Central Continental Europe Database ProQuest Technology Collection Natural Science Collection Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One ProQuest Central Korea ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database ProQuest Central Student Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources SciTech Premium Collection Meteorological & Geoastrophysical Abstracts - Academic Civil Engineering Abstracts Aquatic Science & Fisheries Abstracts (ASFA) Professional ProQuest Engineering Collection Engineering Database Environmental Science Database Earth, Atmospheric & Aquatic Science Database Proquest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection Environmental Science Collection DOAJ Directory of Open Access Journals
DatabaseTitle	CrossRef Publicly Available Content Database Aquatic Science & Fisheries Abstracts (ASFA) Professional ProQuest Central Student Technology Collection Technology Research Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China Water Resources Abstracts Environmental Sciences and Pollution Management Earth, Atmospheric & Aquatic Science Collection ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Engineering Collection Meteorological & Geoastrophysical Abstracts Natural Science Collection ProQuest Central Korea Agricultural & Environmental Science Collection ProQuest Central (New) Engineering Collection Civil Engineering Abstracts Engineering Database ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database ProQuest Technology Collection Continental Europe Database ProQuest SciTech Collection Aqualine Environmental Science Collection Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources ProQuest One Academic UKI Edition ASFA: Aquatic Sciences and Fisheries Abstracts Materials Science & Engineering Collection Environmental Science Database Engineering Research Database ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New)
DatabaseTitleList	CrossRef Publicly Available Content Database Publicly Available Content Database
Database_xml	– sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Geography
EISSN	1607-7938
EndPage	3251
ExternalDocumentID	oai_doaj_org_article_a6b9be4dcbad4535aaed1eb4c795850a A481504085 10_5194_hess_19_3239_2015
GroupedDBID	29I 2WC 5GY 5VS 7XC 8CJ 8FE 8FG 8FH 8R4 8R5 AAFWJ AAYXX ABJCF ABUWG ACGFO ACIWK ADBBV AENEX AEUYN AFFHD AFKRA AFPKN AFRAH AHGZY AIAGR ALMA_UNASSIGNED_HOLDINGS ATCPS BANNL BCNDV BENPR BFMQW BGLVJ BHPHI BKSAR BPHCQ CCPQU CITATION D1J D1K E3Z EBS ECGQY EDH EJD GROUPED_DOAJ GX1 H13 HCIFZ IAO IEA IEP IGS IPNFZ ISR ITC K6- KQ8 L6V L8X LK5 M7R M7S OK1 OVT P2P PATMY PCBAR PHGZM PHGZT PIMPY PQGLB PQQKQ PROAC PTHSS PYCSY Q2X RIG RKB RNS TR2 XSB ~02 ~KM 7QH 7TG 7UA 8FD AZQEC C1K DWQXO F1W FR3 GNUQQ H96 KL. KR7 L.G PKEHL PQEST PQUKI PRINS
ID	FETCH-LOGICAL-c511t-79446851860b938754bf82635990d40cbe9a66249c38b2b0aa0d0bba4f9c0f93
IEDL.DBID	RKB
ISICitedReferencesCount	52
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000358918200015&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1607-7938 1027-5606
IngestDate	Fri Oct 03 12:36:42 EDT 2025 Fri Jul 25 10:46:59 EDT 2025 Fri Jul 25 10:44:14 EDT 2025 Sat Nov 29 13:12:40 EST 2025 Sun Nov 23 09:04:52 EST 2025 Wed Nov 26 08:54:05 EST 2025 Sat Nov 29 04:01:36 EST 2025 Tue Nov 18 21:26:07 EST 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	7
Language	English
License	https://creativecommons.org/licenses/by/3.0
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c511t-79446851860b938754bf82635990d40cbe9a66249c38b2b0aa0d0bba4f9c0f93
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0001-7037-9675
OpenAccessLink	https://doaj.org/article/a6b9be4dcbad4535aaed1eb4c795850a
PQID	1958415537
PQPubID	105724
PageCount	13
ParticipantIDs	doaj_primary_oai_doaj_org_article_a6b9be4dcbad4535aaed1eb4c795850a proquest_journals_2414716773 proquest_journals_1958415537 gale_infotracmisc_A481504085 gale_infotracacademiconefile_A481504085 gale_incontextgauss_ISR_A481504085 crossref_primary_10_5194_hess_19_3239_2015 crossref_citationtrail_10_5194_hess_19_3239_2015
PublicationCentury	2000
PublicationDate	2015-07-24
PublicationDateYYYYMMDD	2015-07-24
PublicationDate_xml	– month: 07 year: 2015 text: 2015-07-24 day: 24
PublicationDecade	2010
PublicationPlace	Katlenburg-Lindau
PublicationPlace_xml	– name: Katlenburg-Lindau
PublicationTitle	Hydrology and earth system sciences
PublicationYear	2015
Publisher	Copernicus GmbH Copernicus Publications
Publisher_xml	– name: Copernicus GmbH – name: Copernicus Publications
References	ref13 ref12 ref56 ref15 ref14 ref53 ref52 ref11 ref55 ref10 ref54 ref17 ref16 ref19 ref18 ref51 ref50 ref46 ref45 ref48 ref47 ref42 ref41 ref44 ref43 ref49 ref8 ref7 ref9 ref4 ref3 ref6 ref5 ref40 ref35 ref34 ref37 ref36 ref31 ref30 ref33 ref32 ref2 ref1 ref39 ref38 ref24 ref23 ref26 ref25 ref20 ref22 ref21 ref28 ref27 ref29
References_xml	– ident: ref43 doi: 10.1029/2009JD012035 – ident: ref6 doi: 10.1016/j.ress.2006.04.015 – ident: ref21 doi: 10.5194/hess-17-5109-2013 – ident: ref26 doi: 10.1029/2005WR004362 – ident: ref17 doi: 10.1007/s11004-014-9530-5 – ident: ref20 doi: 10.1002/joc.3711 – ident: ref23 doi: 10.1080/02626667.2013.803183 – ident: ref1 doi: 10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2 – ident: ref45 doi: 10.1175/JCLI3790.1 – ident: ref22 doi: 10.1029/2012JD017521 – ident: ref36 doi: 10.1175/1520-0442(2001)014<3307:PTDOGR>2.0.CO;2 – ident: ref54 doi: 10.1007/s00477-005-0006-5 – ident: ref5 doi: 10.1002/hyp.10391 – ident: ref40 doi: 10.1016/j.ejor.2012.11.047 – ident: ref13 doi: 10.1016/B978-0-444-89831-9.50016-8 – ident: ref51 doi: 10.1029/2007WR006513 – ident: ref30 doi: 10.1016/0921-8181(95)00046-1 – ident: ref4 doi: 10.1016/j.jhydrol.2005.07.007 – ident: ref56 doi: 10.1029/2011JD016051 – ident: ref24 doi: 10.1175/JHM560.1 – ident: ref32 doi: 10.1080/00401706.1979.10489755 – ident: ref8 doi: 10.1029/2005GL025604 – ident: ref44 doi: 10.1029/2006JD008288 – ident: ref47 – ident: ref37 doi: 10.1029/2010JD015139 – ident: ref52 doi: 10.1098/rstb.2005.1754 – ident: ref14 doi: 10.1016/j.jhydrol.2013.12.050 – ident: ref34 doi: 10.1109/36.649788 – ident: ref33 – ident: ref3 – ident: ref28 doi: 10.1029/2008EO100001 – ident: ref50 doi: 10.1175/1520-0477-83.8.1181 – ident: ref35 doi: 10.1175/1520-0442(2000)013<2217:RTCSTC>2.0.CO;2 – ident: ref10 doi: 10.1046/j.1365-2486.2000.00296.x – ident: ref29 doi: 10.1016/S0022-1694(03)00168-9 – ident: ref11 doi: 10.1029/2006JD007534 – ident: ref42 doi: 10.5194/hess-13-999-2009 – ident: ref38 doi: 10.5194/hess-17-4577-2013 – ident: ref55 doi: 10.1029/2010WR010090 – ident: ref12 doi: 10.1016/S0022-1694(02)00283-4 – ident: ref48 doi: 10.1016/0043-1354(80)90040-8 – ident: ref41 doi: 10.1029/2010WR009946 – ident: ref9 doi: 10.1016/j.jhydrol.2009.06.005 – ident: ref18 doi: 10.1002/hyp.6989 – ident: ref19 doi: 10.1016/j.jhydrol.2014.05.014 – ident: ref7 doi: 10.1002/hyp.7568 – ident: ref16 doi: 10.1029/1999GB001254 – ident: ref49 – ident: ref46 doi: 10.1175/BAMS-D-12-00124.1 – ident: ref27 doi: 10.1127/0941-2948/2006/0130 – ident: ref53 doi: 10.1109/GEOSS.2011.5948940 – ident: ref39 doi: 10.1029/2005WR004820 – ident: ref2 doi: 10.1201/b16500 – ident: ref25 doi: 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2 – ident: ref15 doi: 10.1126/science.289.5487.2068 – ident: ref31
SSID	ssj0028862
Score	2.353355
Snippet	Land surface modeling, in conjunction with numerical weather forecasting and satellite remote sensing, is playing an increasing role in global monitoring and...
SourceID	doaj proquest gale crossref
SourceType	Open Website Aggregation Database Enrichment Source Index Database
StartPage	3239
SubjectTerms	Analysis Climate Climate models Climatic extremes Datasets Drought Drought monitoring Environmental monitoring Evaluation Flood predictions Floods Flow velocity Hydrologic cycle Hydrologic drought Hydrology Infiltration Infiltration capacity Land surface models Modelling Numerical weather forecasting Numerical weather prediction Parameter estimation Parameter identification Parameter sensitivity Parameter uncertainty Parameters Precipitation Predictions Reliability analysis Remote monitoring Remote sensing Runoff Satellite remote sensing Satellites Sensitivity analysis Uncertainty Vegetation Weather forecasting
SummonAdditionalLinks	– databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3faxQxEA5SBH0RrYqnVYIIghCa3c1lE9-qeFSQUrQPfQuZ_PAEu1fqVrj_3plsrvRA2xffjtu5u823M5lvdue-YeyNjD5ECyAC5i4sUJpG2M5rMUdqamWSmCLKlf7SHx2Z01N7fG3UF_WETfLAE3D7XoOFpGIAH9W8m3ufYpNAhd7i18lCjWRvN8VULbWM0dNzzrYXmNP19DwT2YraX-IOIhoruraz6CM0D_daRirC_f_ankvOWTxkDypZ5AfTST5id9Kwy-7VueXL9WN2vKC-c-6HyGOZtzPy5RpflQ2Nn5V4pRt37znyPE6dhHyVeZl-w0n0-4yaYTimtqkxYFw_YSeLTycfD0WdkSACUqVRYDgpjazJaAm2w-JDQTYkMINZJioZIFmvNdZYoTPQgvReRgngVbZBZts9ZTvDakjPGM9ohNUeZnyTVZ8yyGwgglGN9RZ8O2NyA5MLVT-cxlj8dFhHELKOkHWNdYSsI2Rn7N3VR84n8YybjD8Q9leGpHtd3kBvcNUb3G3eMGOv6co5UrYYqHXmu7_E3_n87as7IFkaSYJuM_a2GuUVriD4-k8ExIHEsLYs97YsMfTC9uGNg7ga-rQm5HQ0jan_62FkTMgHdN93z__Hgl-w-wQe3W1u1R7bGS8u00t2N_wef_y6eFWC4g_mKQ8C priority: 102 providerName: Directory of Open Access Journals – databaseName: Engineering Database dbid: M7S link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1baxQxFA5aBX2x3kpXqwQRBCE0M5PNJL5IKy4KUortQ99Crl3BztTtVNh_7zmZ7OqC9sW3ZXOW3cm5J2e_j5DXPFgftHPMQ-6CBqWqmG6sZFMoTTWPHFJE1vSX9uhInZ3p43LgdlXGKlcxMQfq0Hs8I9-HTANxVLZt8_7yB0PWKLxdLRQat8kdREmo8ujeybrhUkqOt511yyCzy_FWE2oWsT-HOMIqzZq60WApyIr7R17K8P3_CtI588y2__c3PyQPSs1JD0YjeURuxe4xuVfoz-fLJ-R4huPr1HaBhkzbM9D5El7luEgvstvj-d87CuUixYFE2ieaSXQoYodf4EwNhQw5zhcMy6fkdPbx9MMnVqgWmIeKa2DglUJC8aUkd7qBHka4pBCnBpJVENy7qK2U0Kr5RrnacWt54M5ZkbTnSTc7ZKvru7hLaAIhaBqhcFBJtDE5npQLTolKW-1sPSF8tc_GFxhyZMP4bqAdQdUYVI2ptEHVGFTNhLxdf-RyxOC4SfgQlbcWRPjs_Ea_ODfFG42VTrsognc2iGkztTaGKjrhWw02yu2EvELVGwTI6HAC59xew_d8PvlqDhDdhiMu3IS8KUKphyfwtvyhAfYBMbU2JPc2JMGD_ebyynxMiSD4TFAaIqlT-9fl36b17Obl5-Q-bgseR9dij2wNi-v4gtz1P4dvV4uX2V9-ARQ4GzE priority: 102 providerName: ProQuest
Title	Flood and drought hydrologic monitoring: the role of model parameter uncertainty
URI	https://www.proquest.com/docview/1958415537 https://www.proquest.com/docview/2414716773 https://doaj.org/article/a6b9be4dcbad4535aaed1eb4c795850a
Volume	19
WOSCitedRecordID	wos000358918200015&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAGF databaseName: Copernicus Publications customDbUrl: eissn: 1607-7938 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0028862 issn: 1607-7938 databaseCode: RKB dateStart: 19970101 isFulltext: true titleUrlDefault: http://publications.copernicus.org/open-access_journals/open_access_journals_a_z.html providerName: Copernicus Gesellschaft – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1607-7938 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0028862 issn: 1607-7938 databaseCode: DOA dateStart: 19970101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVPQU databaseName: Continental Europe Database customDbUrl: eissn: 1607-7938 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0028862 issn: 1607-7938 databaseCode: BFMQW dateStart: 20090601 isFulltext: true titleUrlDefault: https://search.proquest.com/conteurope providerName: ProQuest – providerCode: PRVPQU databaseName: Earth, Atmospheric & Aquatic Science Database customDbUrl: eissn: 1607-7938 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0028862 issn: 1607-7938 databaseCode: PCBAR dateStart: 20090601 isFulltext: true titleUrlDefault: https://search.proquest.com/eaasdb providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 1607-7938 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0028862 issn: 1607-7938 databaseCode: M7S dateStart: 20090601 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: Environmental Science Database customDbUrl: eissn: 1607-7938 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0028862 issn: 1607-7938 databaseCode: PATMY dateStart: 20090601 isFulltext: true titleUrlDefault: http://search.proquest.com/environmentalscience providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1607-7938 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0028862 issn: 1607-7938 databaseCode: BENPR dateStart: 20090601 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1607-7938 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0028862 issn: 1607-7938 databaseCode: PIMPY dateStart: 20090601 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1ba9swFBajG2wv3Z1l64IYg8FAVLYVWdpbOhpWWINJ89A9Cd3cDFZntO4g_37nyGppYJeH7cnBPo4jfZLOd-ST7xDylgfrg3aOefBdEKAUBdOVlWwC1FTzyMFFJKQ_1_O5Oj3Vza1SX5gTNsgDDx23b6XTLorgnQ1iUk2sjaGITvhaw9dxpEYwDHFKLrCGWw61lJLDe86yZuDT5fA-E9iK2F_BCsIKzaqy0jBGsB7uLY-UhPt_tzwnnzN7-A-_9hHZzUSTTodbHpM7sXtC7uea56vNU9LMMGed2i7QkGr19HS1gU9pMaTnaa7jpt8HChyRYhYiXbc0Vc6hKBh-jok0FNzikFTQb56R5exw-fETy_UVmAea1TOYikIC41KSO11B4CJcq1CcBjxUENy7qK2UEJ_5SrnScWt54M5Z0WrPW109JzvduosvCG3BCCJFYAuqFXVsHW-VC06JQlvtbDki_LqLjc_a41gC45uBGARRMYiKKbRBVAyiMiLvb275Pghv_Mn4AKG4MUTN7HQCsDEZG_M3bEbkDaJuUBWjw7SbM3sFzzk6WZgpStpwFIMbkXfZqF1DC7zN_2KAfkAhrS3LvS1LmLZ--_L14DJ52cA2AR_ESk71Ly8D2wIuIeu6evk_GvyKPMDOw53qUuyRnf7iKr4m9_yP_uvlxZjcPTicN4tx2qUYY07sCZxrpsvjL3g8Om7giJPuJ4MHKQU
linkProvider	Copernicus Gesellschaft
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1baxNBFD6UVKgv3qWpVQdRBGHp7O5kd0cQqZfQ0DQEzUN9Gua2jdDu1nSr5Ef5Hz1nL9GA9q0PvoXMCWFnvvnOd2bOngPwnDttnTQmsOi7MEAJw0DGOgkGKE0l9xxdRL3S43QyyY6P5XQDfnbvwlBaZceJNVG70tIZ-R56GuTRJE3jt-ffAuoaRberXQuNBhaHfvkDQ7aLN6MPuL4vomj4cfb-IGi7CgQWxUUVIABFgjojS7iRMcp1YfKMSrIgLzvBrfFSJwlGJTbOTGS41txxY7TIpeU51V5Cxt8UhPUebE5HR9Mvqwgvy5LmejVKA5QSSXONiiJJ7M2RuIJQBnEUS4QmteH9wxHW_QL-5RVqVze8_Z9N0h241Wpqtt9sgruw4Yt7sNW2d58v78N0SOn5TBeOubotUcXmS_xU8z47q2mNzjdfM5TDjBIuWZmzukkQo9roZ5QzxFABNPkT1fIBzK7jeR5CrygLvw0sRyMMilEYZblIfW54nhlnMhFKLY2O-sC7ZVW2LbNO3T5OFYZbhARFSFChVIQERUjow6vVT86bGiNXGb8jrKwMqTx4_UW5OFEt2yidGGm8cNZoJwbxQGvvQm-ETSXuQa778IyQpqgASEEZRif6Ev9n9PmT2qfqPZzq3vXhZWuUl_gEVrcvbOA8UM2wNcvdNUtkKLs-3KFVtQxJz4TSl5pWpX8d_o3knauHn8LWwexorMajyeEjuElTREfvkdiFXrW49I_hhv1efb1YPGk3KwN1zcj_BQSLdoA
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1baxNBFB5KKuqLdzFadRBFEJbM7k5mZwSR1roYWkPUgn0b5raNYHdrulXy0_x3nrOXaED71gffQuaEsDPffOc7M2fPIeQp88Z5ZW3kwHdBgBLHkUqNiMYgTRULDFxEs9L72XQqDw_VbIP87N-FwbTKnhMbovaVwzPyEXga4FGRZemo6NIiZrv565NvEXaQwpvWvp1GC5G9sPwB4dvpq8kurPWzJMnfHrx5F3UdBiIHQqOOAIxcgOaQglmVgnTntpBYngU42nPmbFBGCIhQXCptYpkxzDNrDS-UYwXWYQL235RCSDYgmzv5-w-fV9GelKK9ak2yCGSFaK9UQTDx0RxILIpVlCapAphiS94_nGLTO-BfHqJxe_n1_3jCbpBrndam2-3muEk2QnmLXOnavs-Xt8ksx7R9akpPfdOuqKbzJXxq_AE9bugOzz1fUpDJFBMxaVXQpnkQxZrpx5hLREEZtHkV9fIOObiI57lLBmVVhnuEFmAEwTIIJlnwLBSWFdJ6K3msjLImGRLWL7F2Xfl17ALyVUMYhqjQiAodK42o0IiKIXmx-slJW3vkPOMdxM3KEMuGN19UiyPdsZA2wiobuHfWeD5Ox8YEHwfLXaZgbzIzJE8QdRoLg5SImCNzBv8z-fRRb2NVH4b18IbkeWdUVPAEznQvcsA8YC2xNcutNUtgLrc-3CNXd8yJzwSSGJtZZX8d_o3q--cPPyaXAe56fzLde0Cu4gzhiXzCt8igXpyFh-SS-15_OV086vYtJfqCgf8L2TZ_IA
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Flood+and+drought+hydrologic+monitoring%3A+the+role+of+model+parameter+uncertainty&rft.jtitle=Hydrology+and+earth+system+sciences&rft.au=N.+W.+Chaney&rft.au=J.+D.+Herman&rft.au=P.+M.+Reed&rft.au=E.+F.+Wood&rft.date=2015-07-24&rft.pub=Copernicus+Publications&rft.issn=1027-5606&rft.eissn=1607-7938&rft.volume=19&rft.issue=7&rft.spage=3239&rft.epage=3251&rft_id=info:doi/10.5194%2Fhess-19-3239-2015&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_a6b9be4dcbad4535aaed1eb4c795850a
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1607-7938&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1607-7938&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1607-7938&client=summon