Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI

Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited available data. Satellite remote sensing data may be able to fill this gap, but require novel methodologies to exploit their spatio-temporal...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Hydrology and earth system sciences Ročník 21; číslo 12; s. 6235 - 6251
Hlavní autoři: Ruiz-Pérez, Guiomar, Koch, Julian, Manfreda, Salvatore, Caylor, Kelly, Francés, Félix
Médium: Journal Article
Jazyk:angličtina
Vydáno: Katlenburg-Lindau Copernicus GmbH 08.12.2017
Copernicus Publications
Témata:
Basins (Geology)
Calibration
Data
Data processing
Developing countries
Dynamics
Ecohydrology
Ecology
Ekologi
Frameworks
Hydrology
LDCs
Modelling
MODIS
Natural history
Normalized difference vegetative index
Oceanografi, hydrologi, vattenresurser
Oceanography, Hydrology, Water Resources
Orthogonal functions
Outlets
Procedures
Remote sensing
River basins
Rivers
Satellite data
Satellites
Stream flow
Temporal variations
Vegetation
Vegetation dynamics
Vegetation index
Africa
ISSN:1607-7938, 1027-5606, 1607-7938
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited available data. Satellite remote sensing data may be able to fill this gap, but require novel methodologies to exploit their spatio-temporal information that could potentially be incorporated into model calibration and validation frameworks. The present study tackles this problem by suggesting an automatic calibration procedure, based on the empirical orthogonal function, for distributed ecohydrological daily models. The procedure is tested with the support of remote sensing data in a data-scarce environment – the upper Ewaso Ngiro river basin in Kenya. In the present application, the TETIS-VEG model is calibrated using only NDVI (Normalized Difference Vegetation Index) data derived from MODIS. The results demonstrate that (1) satellite data of vegetation dynamics can be used to calibrate and validate ecohydrological models in water-controlled and data-scarce regions, (2) the model calibrated using only satellite data is able to reproduce both the spatio-temporal vegetation dynamics and the observed discharge at the outlet and (3) the proposed automatic calibration methodology works satisfactorily and it allows for a straightforward incorporation of spatio-temporal data into the calibration and validation framework of a model.
AbstractList Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited available data. Satellite remote sensing data may be able to fill this gap, but require novel methodologies to exploit their spatio-temporal information that could potentially be incorporated into model calibration and validation frameworks.The present study tackles this problem by suggesting an automatic calibration procedure, based on the empirical orthogonal function, for distributed ecohydrological daily models. The procedure is tested with the support of remote sensing data in a data-scarce environment – the upper Ewaso Ngiro river basin in Kenya. In the present application, the TETIS-VEG model is calibrated using only NDVI (Normalized Difference Vegetation Index) data derived from MODIS. The results demonstrate that (1) satellite data of vegetation dynamics can be used to calibrate and validate ecohydrological models in water-controlled and data-scarce regions, (2) the model calibrated using only satellite data is able to reproduce both the spatio-temporal vegetation dynamics and the observed discharge at the outlet and (3) the proposed automatic calibration methodology works satisfactorily and it allows for a straightforward incorporation of spatio-temporal data into the calibration and validation framework of a model.
Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited available data. Satellite remote sensing data may be able to fill this gap, but require novel methodologies to exploit their spatio-temporal information that could potentially be incorporated into model calibration and validation frameworks. The present study tackles this problem by suggesting an automatic calibration procedure, based on the empirical orthogonal function, for distributed ecohydrological daily models. The procedure is tested with the support of remote sensing data in a data-scarce environment – the upper Ewaso Ngiro river basin in Kenya. In the present application, the TETIS-VEG model is calibrated using only NDVI (Normalized Difference Vegetation Index) data derived from MODIS. The results demonstrate that (1) satellite data of vegetation dynamics can be used to calibrate and validate ecohydrological models in water-controlled and data-scarce regions, (2) the model calibrated using only satellite data is able to reproduce both the spatio-temporal vegetation dynamics and the observed discharge at the outlet and (3) the proposed automatic calibration methodology works satisfactorily and it allows for a straightforward incorporation of spatio-temporal data into the calibration and validation framework of a model.
Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited available data. Satellite remote sensing data may be able to fill this gap, but require novel methodologies to exploit their spatiotemporal information that could potentially be incorporated into model calibration and validation frameworks.The present study tackles this problem by suggesting an automatic calibration procedure, based on the empirical orthogonal function, for distributed ecohydrological daily models. The procedure is tested with the support of remote sensing data in a data-scarce environment-the upper Ewaso Ngiro river basin in Kenya. In the present application, the TETIS-VEG model is calibrated using only NDVI (Normalized Difference Vegetation Index) data derived from MODIS. The results demonstrate that (1) satellite data of vegetation dynamics can be used to calibrate and validate ecohydrological models in water-controlled and datascarce regions, (2) the model calibrated using only satellite data is able to reproduce both the spatio-temporal vegetation dynamics and the observed discharge at the outlet and (3) the proposed automatic calibration methodology works satisfactorily and it allows for a straightforward incorporation of spatio-temporal data into the calibration and validation framework of a model.
Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited available data. Satellite remote sensing data may be able to fill this gap, but require novel methodologies to exploit their spatio-temporal information that could potentially be incorporated into model calibration and validation frameworks. The present study tackles this problem by suggesting an automatic calibration procedure, based on the empirical orthogonal function, for distributed ecohydrological daily models. The procedure is tested with the support of remote sensing data in a data-scarce environment - the upper Ewaso Ngiro river basin in Kenya. In the present application, the TETIS-VEG model is calibrated using only NDVI (Normalized Difference Vegetation Index) data derived from MODIS. The results demonstrate that (1) satellite data of vegetation dynamics can be used to calibrate and validate ecohydrological models in water-controlled and data-scarce regions, (2) the model calibrated using only satellite data is able to reproduce both the spatio-temporal vegetation dynamics and the observed discharge at the outlet and (3) the proposed automatic calibration methodology works satisfactorily and it allows for a straightforward incorporation of spatio-temporal data into the calibration and validation framework of a model.
Audience Academic
Author Manfreda, Salvatore
Caylor, Kelly
Francés, Félix
Ruiz-Pérez, Guiomar
Koch, Julian
Author_xml – sequence: 1
  givenname: Guiomar
  orcidid: 0000-0002-9966-9438
  surname: Ruiz-Pérez
  fullname: Ruiz-Pérez, Guiomar
– sequence: 2
  givenname: Julian
  orcidid: 0000-0002-7732-3436
  surname: Koch
  fullname: Koch, Julian
– sequence: 3
  givenname: Salvatore
  orcidid: 0000-0002-0225-144X
  surname: Manfreda
  fullname: Manfreda, Salvatore
– sequence: 4
  givenname: Kelly
  surname: Caylor
  fullname: Caylor, Kelly
– sequence: 5
  givenname: Félix
  surname: Francés
  fullname: Francés, Félix
BackLink https://res.slu.se/id/publ/93299$$DView record from Swedish Publication Index (Sveriges lantbruksuniversitet)
BookMark eNp9kstu3CAUhq0qlZqkfYDukLrqwilgsGEZpbeRolbqbYuO8fEMI9tMAaeZJ-nrFmd6m6qtWBx09P0_B_jPipPJT1gUjxm9kEyLZxuMseSsrHklS05Zc684ZTVtykZX6uS3_YPiLMYtpVypmp8WX69gcG2A5PxEfE-A7CBEN_rJ-TmSzsUUXDsn7Ahav9l3wQ9-7SwMpAM37MnoOxyIm7KygwRltBAskhZi7rV7grd2mKO7wczmOq1J2iCJu-XEMuG48yF73UBwP2d48_zT6mFxv4ch4qPv9bz4-PLFh6vX5fXbV6ury-vSSqFTyVWHIFvd6UqyWuiaoaBCC8qtrVspG26VQq5YJRVUlcRG9XVrO86kBS6wOi9WB9_Ow9bsghsh7I0HZ-4aPqwNhOTsgAag5pQ2jdDQiV4xzYC2Va9A1rTHXmev8uAVv-Bubo_c4jC3EJZiIhpdcb3wTw78LvjPM8Zktn4OU76u4YIJIZXIg_-HYroRlNGaiV_UGvKobup9CmBHF625lKzRinLGM3XxFyqvDkdnc6J6l_tHgqdHgswkvE1rmGM0q_fvjtnmwNrgYwzYG-vS3afmQ9xgGDVLVM0SVcOZWaJqlqhmJftD-ePp_q35Brn07o0
CitedBy_id crossref_primary_10_3390_w11122613
crossref_primary_10_1016_j_jenvman_2022_116532
crossref_primary_10_3390_w12051495
crossref_primary_10_1029_2019WR026153
crossref_primary_10_1016_j_heliyon_2025_e42512
crossref_primary_10_3390_rs13040756
crossref_primary_10_1016_j_scitotenv_2023_166617
crossref_primary_10_1016_j_jenvman_2025_125103
crossref_primary_10_3390_f10020196
crossref_primary_10_1016_j_jenvman_2018_10_078
crossref_primary_10_5194_hess_26_1089_2022
crossref_primary_10_1175_JHM_D_17_0235_1
crossref_primary_10_3390_land13081140
crossref_primary_10_1016_j_jhydrol_2021_126359
crossref_primary_10_24057_2071_9388_2024_3564
crossref_primary_10_3390_rs14184546
crossref_primary_10_1016_j_jhydrol_2022_127816
crossref_primary_10_1061__ASCE_HE_1943_5584_0002148
Cites_doi 10.1175/2009JHM1061.1
10.1023/A:1024716530289
10.1175/2010BAMS2819.1
10.5194/hess-12-1403-2008
10.1016/S0034-4257(02)00173-6
10.1029/2007WR006097
10.1016/j.agrformet.2012.05.011
10.1016/S0034-4257(99)00057-7
10.1016/j.rse.2004.03.010
10.1016/j.jhydrol.2016.02.018
10.1002/hyp.5022
10.1016/j.jhydrol.2015.08.011
10.1002/hyp.9811
10.1016/S0022-1694(02)00420-1
10.5194/hess-15-39-2011
10.1029/93WR03218
10.1016/j.jhydrol.2007.11.017
10.1016/0022-1694(70)90255-6
10.1080/01431169408954174
10.1016/j.jhydrol.2011.08.030
10.5194/hess-16-1-2012
10.1623/hysj.53.2.293
10.1016/S0034-4257(97)00005-9
10.1016/j.jhydrol.2013.10.006
10.1002/2013WR014516
10.1002/2014WR016607
10.1016/j.advwatres.2012.05.010
10.1016/j.agrformet.2006.12.001
10.1016/j.rse.2010.01.022
10.1016/j.jhydrol.2004.03.031
10.5194/hess-17-2947-2013
10.1016/j.rse.2007.03.027
10.1002/eco.1559
10.1029/2005WR004683
10.1016/0034-4257(95)00195-6
10.1016/j.proenv.2013.06.019
10.1016/S0309-1708(01)00006-9
10.2307/1941933
10.5194/adgeo-2-31-2005
10.1016/j.advwatres.2009.12.003
10.1029/2005WR004496
10.1016/S0378-1127(97)00026-1
10.1037/h0026256
10.1029/2009WR008203
10.1016/j.ecolmodel.2016.01.002
10.1029/2002JD003124
10.1016/j.jhydrol.2015.12.002
10.1016/S0309-1708(01)00004-5
10.1016/j.jhydrol.2007.10.049
10.1038/srep19124
10.5194/hess-16-4435-2012
10.5194/hess-16-4467-2012
10.1016/j.jhydrol.2006.06.032
10.1016/j.jhydrol.2011.08.055
10.1093/treephys/18.3.167
10.2166/nh.2011.156
10.1002/9781119960003.ch6
10.1038/nature11983
10.1007/BF00328579
10.1029/2009WR007872
10.1073/pnas.0810021105
10.1016/j.agwat.2005.03.007
10.1029/2005WR004094
10.5194/hess-12-1175-2008
10.1007/s004420050337
10.1016/S0034-4257(02)00014-7
10.5194/hess-19-857-2015
10.1002/eco.1648
10.5194/nhess-9-979-2009
10.1029/2009WR007855
10.3390/w5020819
10.1016/S0168-1923(99)00171-9
10.1016/j.jhydrol.2013.08.040
10.1002/2015JD024482
10.4995/ia.1995.2684
10.1016/j.rse.2005.01.020
10.1017/CBO9781139235761.005
ContentType Journal Article
Copyright COPYRIGHT 2017 Copernicus GmbH
Copyright Copernicus GmbH 2017
2017. This work is published under https://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 2017 Copernicus GmbH
– notice: Copyright Copernicus GmbH 2017
– notice: 2017. This work is published under https://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.
CorporateAuthor Sveriges lantbruksuniversitet
CorporateAuthor_xml – name: Sveriges lantbruksuniversitet
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
ADTPV
AOWAS
DOA
DOI 10.5194/hess-21-6235-2017
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 - QC
ProQuest Central
Continental Europe Database (ProQuest)
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
SwePub
SwePub Articles
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 Publicly Available Content Database
Publicly Available Content Database

CrossRef
Database_xml – sequence: 1
  dbid: DOA
  name: 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
Ecology
EISSN 1607-7938
EndPage 6251
ExternalDocumentID oai_doaj_org_article_aa62007749ad4f8191a0b3f8a560fef9
oai_slubar_slu_se_93299
A517980212
10_5194_hess_21_6235_2017
GeographicLocations Africa
GeographicLocations_xml – name: Africa
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
ADTPV
AOWAS
C1A
ID FETCH-LOGICAL-c549t-28dea5b9d935164961e4049402cc6b5572c88e281358a335e78f6bcd215ca24e3
IEDL.DBID BENPR
ISICitedReferencesCount 19
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000417474300003&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 12:52:28 EDT 2025
Tue Nov 04 16:53:24 EST 2025
Fri Jul 25 18:55:28 EDT 2025
Fri Jul 25 10:38:15 EDT 2025
Sat Nov 29 13:14:26 EST 2025
Sat Nov 29 10:11:20 EST 2025
Wed Nov 26 10:21:41 EST 2025
Tue Nov 18 19:39:34 EST 2025
Sat Nov 29 04:01:46 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 12
Language English
License https://creativecommons.org/licenses/by/3.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c549t-28dea5b9d935164961e4049402cc6b5572c88e281358a335e78f6bcd215ca24e3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0002-7732-3436
0000-0002-9966-9438
0000-0002-0225-144X
OpenAccessLink https://www.proquest.com/docview/2414458481?pq-origsite=%requestingapplication%
PQID 1974010614
PQPubID 105724
PageCount 17
ParticipantIDs doaj_primary_oai_doaj_org_article_aa62007749ad4f8191a0b3f8a560fef9
swepub_primary_oai_slubar_slu_se_93299
proquest_journals_2414458481
proquest_journals_1974010614
gale_infotracmisc_A517980212
gale_infotracacademiconefile_A517980212
gale_incontextgauss_ISR_A517980212
crossref_citationtrail_10_5194_hess_21_6235_2017
crossref_primary_10_5194_hess_21_6235_2017
PublicationCentury 2000
PublicationDate 2017-12-08
PublicationDateYYYYMMDD 2017-12-08
PublicationDate_xml – month: 12
  year: 2017
  text: 2017-12-08
  day: 08
PublicationDecade 2010
PublicationPlace Katlenburg-Lindau
PublicationPlace_xml – name: Katlenburg-Lindau
PublicationTitle Hydrology and earth system sciences
PublicationYear 2017
Publisher Copernicus GmbH
Copernicus Publications
Publisher_xml – name: Copernicus GmbH
– name: Copernicus Publications
References ref13
ref57
ref12
ref56
ref15
ref59
ref14
ref58
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
ref82
ref81
ref40
ref84
ref83
ref80
ref35
ref79
ref34
ref78
ref37
ref36
ref31
ref75
ref30
ref74
ref33
ref77
ref32
ref76
ref2
ref1
ref39
ref38
ref71
ref70
ref73
ref72
ref24
ref68
ref23
ref67
ref26
ref25
ref69
ref20
ref64
ref63
ref22
ref66
ref21
ref65
ref28
ref27
ref29
ref60
ref62
ref61
References_xml – ident: ref82
  doi: 10.1175/2009JHM1061.1
– ident: ref4
  doi: 10.1023/A:1024716530289
– ident: ref29
  doi: 10.1175/2010BAMS2819.1
– ident: ref77
  doi: 10.5194/hess-12-1403-2008
– ident: ref11
  doi: 10.1016/S0034-4257(02)00173-6
– ident: ref20
  doi: 10.1029/2007WR006097
– ident: ref79
  doi: 10.1016/j.agrformet.2012.05.011
– ident: ref72
  doi: 10.1016/S0034-4257(99)00057-7
– ident: ref78
  doi: 10.1016/j.rse.2004.03.010
– ident: ref39
  doi: 10.1016/j.jhydrol.2016.02.018
– ident: ref5
  doi: 10.1002/hyp.5022
– ident: ref16
  doi: 10.1016/j.jhydrol.2015.08.011
– ident: ref71
  doi: 10.1002/hyp.9811
– ident: ref55
  doi: 10.1016/S0022-1694(02)00420-1
– ident: ref73
  doi: 10.5194/hess-15-39-2011
– ident: ref52
  doi: 10.1029/93WR03218
– ident: ref33
  doi: 10.1016/j.jhydrol.2007.11.017
– ident: ref54
  doi: 10.1016/0022-1694(70)90255-6
– ident: ref24
  doi: 10.1080/01431169408954174
– ident: ref70
  doi: 10.1016/j.jhydrol.2011.08.030
– ident: ref74
  doi: 10.5194/hess-16-1-2012
– ident: ref2
– ident: ref17
  doi: 10.1623/hysj.53.2.293
– ident: ref23
  doi: 10.1016/S0034-4257(97)00005-9
– ident: ref62
  doi: 10.1016/j.jhydrol.2013.10.006
– ident: ref30
  doi: 10.1002/2013WR014516
– ident: ref36
  doi: 10.1002/2014WR016607
– ident: ref59
  doi: 10.1016/j.advwatres.2012.05.010
– ident: ref80
  doi: 10.1016/j.agrformet.2006.12.001
– ident: ref81
  doi: 10.1016/j.rse.2010.01.022
– ident: ref63
  doi: 10.1016/j.jhydrol.2004.03.031
– ident: ref13
  doi: 10.5194/hess-17-2947-2013
– ident: ref49
  doi: 10.1016/j.rse.2007.03.027
– ident: ref57
  doi: 10.1002/eco.1559
– ident: ref7
  doi: 10.1029/2005WR004683
– ident: ref9
  doi: 10.1016/0034-4257(95)00195-6
– ident: ref47
  doi: 10.1016/j.proenv.2013.06.019
– ident: ref58
  doi: 10.1016/S0309-1708(01)00006-9
– ident: ref41
  doi: 10.2307/1941933
– ident: ref3
– ident: ref48
  doi: 10.5194/adgeo-2-31-2005
– ident: ref22
  doi: 10.1016/j.advwatres.2009.12.003
– ident: ref83
– ident: ref15
  doi: 10.1029/2005WR004496
– ident: ref40
  doi: 10.1016/S0378-1127(97)00026-1
– ident: ref12
  doi: 10.1037/h0026256
– ident: ref32
  doi: 10.1029/2009WR008203
– ident: ref65
  doi: 10.1016/j.ecolmodel.2016.01.002
– ident: ref43
  doi: 10.1029/2002JD003124
– ident: ref60
– ident: ref37
  doi: 10.1016/j.jhydrol.2015.12.002
– ident: ref64
  doi: 10.1016/S0309-1708(01)00004-5
– ident: ref31
  doi: 10.1016/j.jhydrol.2007.10.049
– ident: ref84
  doi: 10.1038/srep19124
– ident: ref10
  doi: 10.5194/hess-16-4435-2012
– ident: ref14
  doi: 10.5194/hess-16-4467-2012
– ident: ref19
  doi: 10.1016/j.jhydrol.2006.06.032
– ident: ref68
  doi: 10.1016/j.jhydrol.2011.08.055
– ident: ref50
  doi: 10.1093/treephys/18.3.167
– ident: ref66
  doi: 10.2166/nh.2011.156
– ident: ref6
  doi: 10.1002/9781119960003.ch6
– ident: ref34
  doi: 10.1038/nature11983
– ident: ref42
  doi: 10.1007/BF00328579
– ident: ref51
  doi: 10.1029/2009WR007872
– ident: ref56
  doi: 10.1073/pnas.0810021105
– ident: ref28
– ident: ref1
  doi: 10.1016/j.agwat.2005.03.007
– ident: ref53
  doi: 10.1029/2005WR004094
– ident: ref61
  doi: 10.5194/hess-12-1175-2008
– ident: ref21
– ident: ref25
  doi: 10.1007/s004420050337
– ident: ref35
  doi: 10.1016/S0034-4257(02)00014-7
– ident: ref76
  doi: 10.5194/hess-19-857-2015
– ident: ref26
  doi: 10.1002/eco.1648
– ident: ref27
  doi: 10.5194/nhess-9-979-2009
– ident: ref44
  doi: 10.1029/2009WR007855
– ident: ref46
  doi: 10.3390/w5020819
– ident: ref8
– ident: ref45
  doi: 10.1016/S0168-1923(99)00171-9
– ident: ref69
  doi: 10.1016/j.jhydrol.2013.08.040
– ident: ref38
  doi: 10.1002/2015JD024482
– ident: ref18
  doi: 10.4995/ia.1995.2684
– ident: ref67
  doi: 10.1016/j.rse.2005.01.020
– ident: ref75
  doi: 10.1017/CBO9781139235761.005
SSID ssj0028862
Score 2.3270888
Snippet Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited...
SourceID doaj
swepub
proquest
gale
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Enrichment Source
Index Database
StartPage 6235
SubjectTerms Basins (Geology)
Calibration
Data
Data processing
Developing countries
Dynamics
Ecohydrology
Ecology
Ekologi
Frameworks
Hydrology
LDCs
Modelling
MODIS
Natural history
Normalized difference vegetative index
Oceanografi, hydrologi, vattenresurser
Oceanography, Hydrology, Water Resources
Orthogonal functions
Outlets
Procedures
Remote sensing
River basins
Rivers
Satellite data
Satellites
Stream flow
Temporal variations
Vegetation
Vegetation dynamics
Vegetation index
SummonAdditionalLinks – databaseName: Copernicus Publications
  dbid: RKB
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1ba9RAFB6kCPqi1gtGaxlEFIShm2SSzDzWS2lBFqla-jbMtbsQsmWzW9xf4t_1nMns6lrRB30KJGdIMt_JuWTOfIeQFxa8Vs1HgtXCBsZrJ5gG6JkRHiyys3yozTn70IzH4vxcfvyp1RfWhA30wMPEHWhd4--0hkvtYCCkF3pkyiA0uOrgA27dAzXET_IUe7ilVEuIeljnLBoGgvWwngnRCj-YgAVhRc7A71egI7FT2Q-PFIn7r5vnX4hEo_M5uvsPj32P3EkRJz0chuySG767T26l5ueT1QPyDfdnmUET6CxQTS8h2wUMO6yPpQ6pdbErlncUctXJys3XBpM6PW1XNHbTodMORmLBKestbqCk4CDhnFlR_9W2SyyTB1mss7-gEHXSPtZys8SN1dIryNo3zzB-d3bykHw5ev_57TFL_RqYhSxzwQrhvK6MdLKsIAuTde450s-MCmtrU1VNYYXwhcjLSuiyrHwjQm2sg6jD6oL78hHZ6Wadf0yoLH0FgQ0XBgI6E6w0kPfIEERhAwSNJiOjNWbKJjJz7KnRKkhqEGaFMKsiVwizQpgz8noz5HJg8viT8BuEdCOIJNzxBGCsEsbqbxhn5DmqkUKajQ7reC70Eu5z8ulUHUaiOKTXz8irJBRm8AZWp20RMA_IzLUlubclCXbAbl9ea6tKdqhXucSOi5j1__YyhG8cF8pFnpGXg4JvvXLfLo2e40H1XkGoL-WT_zEzT8ltnOVYFiT2yM5ivvTPyE17tZj28_34KX8HIwJLeg
  priority: 102
  providerName: Copernicus Gesellschaft
– databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1ZixQxEA6yCPointjrrgQRBSFs3508rsfiggzisexbyLkz0PQs0zOL80v8u1uVZEZHRV98auiu0N1V1an6OpWvCHluIGq1dc5Zy41ndWs5U2B6prmDGdmaOtbmnH3oJhN-fi4-_tTqC2vCIj1wVNyRUi3-TutqoSwMBHihcl15riBUe-fD1r28ExswlaAW521c5yw7BoJtXM-EbKU-msIMwsqCQdxvwEdCp7IfESkQ9_8-Pf9CJBqCz8ldcidljfQ4Pu09csMN98mt1MB8un5AvuMeKx2tSeeeKnoJiBXsMGCNK7VIj4udrZylgDena7vYTHrUqlm_pqEjDp0NMBKLRtlocBMkhSAH5_Saum-mX2GpO8hirfwFhcyRjqEemyV-q55eAfLePsPk7dnpQ_L15N2XN-9Z6rnADCDFJSu5darRwoqqASQl2sLVSCGTl8a0umm60nDuSl5UDVdV1biO-1YbC5mDUWXtqkdkb5gP7jGhonINJCc115CUaW-EBuwivOel8ZD46YzkG71LkwjJsS9GLwGYoKkkmkqWhURTSTRVRl5th1xGNo6_Cb9GY24FkUg7nAD3ksm95L_cKyPP0BUkUmUMWItzoVZwn9PPn-RxIHtDivyMvExCfg5vYFTa2gB6QHatHcmDHUn4ls3u5Y3HyTSXjLIQ2DURkfsfL0MKVuNiNy8y8iI66c4rj_1KqwUe5OgkpOtC7P8PzTwht1HLobSHH5C95WLlDslNc7WcjYun4XO8BrkBOUY
  priority: 102
  providerName: Directory of Open Access Journals
Title Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI
URI https://www.proquest.com/docview/1974010614
https://www.proquest.com/docview/2414458481
https://res.slu.se/id/publ/93299
https://doaj.org/article/aa62007749ad4f8191a0b3f8a560fef9
Volume 21
WOSCitedRecordID wos000417474300003&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: 1027-5606
  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: Directory of Open Access Journals
  customDbUrl:
  eissn: 1607-7938
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0028862
  issn: 1027-5606
  databaseCode: DOA
  dateStart: 19970101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVPQU
  databaseName: Continental Europe Database (ProQuest)
  customDbUrl:
  eissn: 1607-7938
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0028862
  issn: 1027-5606
  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: 1027-5606
  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: 1027-5606
  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: 1027-5606
  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: 1027-5606
  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: 1027-5606
  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/eLvHCXMwpV3daxNBEF9sK-iL38VoDYuIgrA095ndJ0m0xaANIa2lPi37mQTCJeaSYv4S_11n7jYpUemLTwt7c8nezdx87exvCHljwGrlaYuznBvP0txypoD1THMHGtmatK7Nufza7vf51ZUYhIRbGcoqNzqxUtR2ZjBHfgyWJsU9PR59mP9g2DUKd1dDC409coBIZSDnB92T_mC4Dbk4z-v9zrjNwLbn9b4meC3p8Rg0CYsjBvY_A1mpOpbdWKYKwP9vNf0HoGhlhE4f_u_yH5EHwf2knVpeHpM7rnhC7oVO6OP1U_ILD2vpWizozFNF5xD6AkMLLJalFnF2sUWWsxQC1_HaLjbak1o1ma5p1VqHTgq4E6tPWWnwNCUFawlzek3dTzNdYc080GLR_YiCC0rLqrCbBaCsKb2GEH67hv6ny94z8u305OLjZxaaNzADIeeSxdw6lWlhRZJBSCbyyKWIRdOKjcl1lrVjw7mLeZRkXCVJ5trc59pYcEGMilOXHJL9Yla454SKxGXg5aRcg3envREagiDhPY-NBw9SN0hrwzhpArI5NtiYSohwkNcSeS3jSCKvJfK6Qd5vb5nXsB63EXdRGraEiMhdTcwWIxk-cKlUjmlfWJiyIOAQBquWTjxXIHbeedEgr1GWJGJuFFjUM1Ir-J_e-VB2KtQ4xNpvkHeByM_gCYwKZyTgPSBM1w7l0Q4lKAWze3kjhjIopVJGAtsvYgrgn5dvRLRB3tZSvvPI5XSl1QIHWToJfr8QL27_nZfkPr6_qvqHH5H95WLlXpG75no5KRfN8K02qzRIE4tuz2Fu0Lk4-45j72wA497wS_c3ymlO2Q
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Zb9NAEF6VFKm8cCMCBVaIQ0JaNV4fWT8gVChVo6ZRBKVqn5a9nESKnGAnBf8S_gW_kRkfqQKob33gKZI9duz1t3PszsxHyAsDVisKOoJFwiQsiKxgCj4908KBRrYmqHJzTvrdwUCcnsbDDfKrqYXBtMpGJ5aK2s4MrpHvgKUJcE9PeO_m3xiyRuHuakOhUcHi0BXfIWTL3_b24Pu-5Hz_4_GHA1azCjADsdCCcWGdCnVsYz-EWCGOPBdgk5QONybSYdjlRgjHheeHQvl-6LoiibSxYBuN4oHz4b7XyGYAYO-0yOawdzQ8W4V4QkTV_irvMvAlomofFbykYGcMmotxj4G_EQI2S4a0C0tYEgb8bRb-aGBaGr39W__bcN0mN2v3mu5W8-EO2XDpXbJVM72Pi3vkJxaj6Qr2dJZQRecQ2gNgU0wGphb7CCMFmLMUAvNxYbPGOlCrJtOCltRBdJLClZhdy3KD1aIUvAE4pgvqfpjpEmsCQBaLCkYUXGyal4nrrG4ENqXnKpusnmGwd9K7T75cybg8IK10lrqHhMa-C8GLC4QG71UnJtYQ5MVJIrhJwEPWbdJpgCJN3bkdCUSmEiI4xJZEbEnuScSWRGy1yZvVJfOqbcllwu8RfStB7DheHphlI1krMKlUhMva8GDKwgSGMF91tJ8IBTBPXBK3yXPErsSeIikmLY3UEv6n9_mT3C274iGXQJu8roWSGbyBUXUNCIwDtiFbk9xekwSlZ9ZPN7CXtdLNpRcjvSQucfzz9MWUaJNX1axae-V8utQqwx-ZOwlxTRw_uvw-z8jWwfFRX_Z7g8PH5AaOZZnpJLZJa5Et3RNy3ZwvJnn2tNYTlHy96rn2GxGwo0c
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFLZGh2Av3NEKAyzERZpktXEudR4Q2ugqqk1VNWDam7Edu61UpSVpB_0l_Bd-Hefk0qmA9rYHniolJ2nifOdmH5-PkFcGvFYUtAWLhHEsiBLBFHx6poUFi5yYoKzNOTvpDAbi_DwebpFf9V4YLKusbWJhqJOZwTnyFniaANf0hNdyVVnEsNt7P__GkEEKV1prOo0SIsd29R3St_xdvwvf-jXnvaPPHz6yimGAGciLFoyLxKpQx0nsh5A3xJFnA2yY0ubGRDoMO9wIYbnw_FAo3w9tR7hImwT8pFE8sD7c9wbZ7viQ9DTI9uHRYHi6TveEiMq1Vt5hEFdE5ZoqRExBawxWjHGPQewRAk4LtrRLr1iQB_ztIv5oZlo4wN7d_3no7pE7VdhND0o9uU-2bPqA3K4Y4Merh-QnblLTpTrQmaOKziHlByCnWCRME-wvjNRgNqGQsI9XSVZ7DZqoyXRFC0ohOknhSqy6ZbnBXaQUogQ4plfU_jDTJe4VAFncbDCiEHrTvChoZ1WDsCm9UNlk_QyD7ln_EflyLePymDTSWWp3CY19G0J0FwgNUa12JtaQ_MXOCW4cRM66Sdo1aKSpOrojschUQmaHOJOIM8k9iTiTiLMm2V9fMi_bmVwlfIhIXAtiJ_LiwCwbycqwSaUinO6GB1MJKDak_6qtfScUQN5ZFzfJS8SxxF4jKUJvpJbwP_1Pp_Kg6JaHHANN8rYScjN4A6OqvSEwDtiebENyb0MSjKHZPF2rgKyMcS69GGkncerjn6cv1aNJ3pQatvHK-XSpVYY_MrcS8p04fnL1fV6QW6Bg8qQ_OH5KdnAoiwIosUcai2xpn5Gb5mIxybPnlcmg5Ot1q9pvK9ar4Q
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=Calibration+of+a+parsimonious+distributed+ecohydrological+daily+model+in+a+data-scarce+basin+by+exclusively+using+the+spatio-temporal+variation+of+NDVI&rft.jtitle=Hydrology+and+earth+system+sciences&rft.au=Ruiz-P%C3%A9rez%2C+Guiomar&rft.au=Koch%2C+Julian&rft.au=Manfreda%2C+Salvatore&rft.au=Caylor%2C+Kelly&rft.date=2017-12-08&rft.pub=Copernicus+GmbH&rft.issn=1027-5606&rft.eissn=1607-7938&rft.volume=21&rft.issue=12&rft.spage=6235&rft.epage=6251&rft_id=info:doi/10.5194%2Fhess-21-6235-2017&rft.externalDBID=HAS_PDF_LINK
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