Academic Journal
Consistency of satellite-based precipitation products in space and over time compared with gauge observations and snow- hydrological modelling in the Lake Titicaca region
| العنوان: | Consistency of satellite-based precipitation products in space and over time compared with gauge observations and snow- hydrological modelling in the Lake Titicaca region |
|---|---|
| المؤلفون: | F. Satgé, D. Ruelland, M.-P. Bonnet, J. Molina, R. Pillco |
| المصدر: | Hydrology and Earth System Sciences, Vol 23, Pp 595-619 (2019) |
| بيانات النشر: | Copernicus Publications, 2019. |
| سنة النشر: | 2019 |
| المجموعة: | LCC:Technology LCC:Environmental technology. Sanitary engineering LCC:Geography. Anthropology. Recreation LCC:Environmental sciences |
| مصطلحات موضوعية: | Technology, Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350 |
| الوصف: | This paper proposes a protocol to assess the space–time consistency of 12 satellite-based precipitation products (SPPs) according to various indicators, including (i) direct comparison of SPPs with 72 precipitation gauges; (ii) sensitivity of streamflow modelling to SPPs at the outlet of four basins; and (iii) the sensitivity of distributed snow models to SPPs using a MODIS snow product as reference in an unmonitored mountainous area. The protocol was applied successively to four different time windows (2000–2004, 2004–2008, 2008–2012 and 2000–2012) to account for the space–time variability of the SPPs and to a large dataset composed of 12 SPPs (CMORPH–RAW v.1, CMORPH–CRT v.1, CMORPH–BLD v.1, CHIRP v.2, CHIRPS v.2, GSMaP v.6, MSWEP v.2.1, PERSIANN, PERSIANN–CDR, TMPA–RT v.7, TMPA–Adj v.7 and SM2Rain–CCI v.2), an unprecedented comparison. The aim of using different space scales and timescales and indicators was to evaluate whether the efficiency of SPPs varies with the method of assessment, time window and location. Results revealed very high discrepancies between SPPs. Compared to precipitation gauge observations, some SPPs (CMORPH–RAW v.1, CMORPH–CRT v.1, GSMaP v.6, PERSIANN, and TMPA–RT v.7) are unable to estimate regional precipitation, whereas the others (CHIRP v.2, CHIRPS v.2, CMORPH–BLD v.1, MSWEP v.2.1, PERSIANN–CDR, and TMPA–Adj v.7) produce a realistic representation despite recurrent spatial limitation over regions with contrasted emissivity, temperature and orography. In 9 out of 10 of the cases studied, streamflow was more realistically simulated when SPPs were used as forcing precipitation data rather than precipitation derived from the available precipitation gauge networks, whereas the SPP's ability to reproduce the duration of MODIS-based snow cover resulted in poorer simulations than simulation using available precipitation gauges. Interestingly, the potential of the SPPs varied significantly when they were used to reproduce gauge precipitation estimates, streamflow observations or snow cover duration and depending on the time window considered. SPPs thus produce space–time errors that cannot be assessed when a single indicator and/or time window is used, underlining the importance of carefully considering their space–time consistency before using them for hydro-climatic studies. Among all the SPPs assessed, MSWEP v.2.1 showed the highest space–time accuracy and consistency in reproducing gauge precipitation estimates, streamflow and snow cover duration. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1027-5606 1607-7938 |
| Relation: | https://www.hydrol-earth-syst-sci.net/23/595/2019/hess-23-595-2019.pdf; https://doaj.org/toc/1027-5606; https://doaj.org/toc/1607-7938 |
| DOI: | 10.5194/hess-23-595-2019 |
| URL الوصول: | https://doaj.org/article/9cedbcbd86764c8b87e6f1f5662c4259 |
| رقم الانضمام: | edsdoj.9cedbcbd86764c8b87e6f1f5662c4259 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | ResultId |
1 |
|---|---|
| Header |
edsdoj Directory of Open Access Journals edsdoj.9cedbcbd86764c8b87e6f1f5662c4259 918 3 Academic Journal academicJournal 917.677612304688 |
| PLink |
https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsdoj&AN=edsdoj.9cedbcbd86764c8b87e6f1f5662c4259&custid=s6537998&authtype=sso |
| FullText |
Array
(
[Availability] => 0
)
Array ( [0] => Array ( [Url] => https://doaj.org/article/9cedbcbd86764c8b87e6f1f5662c4259 [Name] => EDS - DOAJ [Category] => fullText [Text] => View record in DOAJ [MouseOverText] => View record in DOAJ ) [1] => Array ( [Url] => https://resolver.ebscohost.com/openurl?custid=s6537998&groupid=main&authtype=ip,guest&sid=EBSCO:edsdoj&genre=article&issn=10275606&ISBN=&volume=23&issue=&date=20190201&spage=595&pages=595-619&title=Hydrology and Earth System Sciences&atitle=Consistency%20of%20satellite-based%20precipitation%20products%20in%20space%20and%20over%20time%20compared%20with%20gauge%20observations%20and%20snow-%20hydrological%20modelling%20in%20the%20Lake%20Titicaca%20region&id=DOI:10.5194/hess-23-595-2019 [Name] => Full Text Finder (s6537998api) [Category] => fullText [Text] => Full Text Finder [Icon] => https://imageserver.ebscohost.com/branding/images/FTF.gif [MouseOverText] => Full Text Finder ) ) |
| Items |
Array
(
[Name] => Title
[Label] => Title
[Group] => Ti
[Data] => Consistency of satellite-based precipitation products in space and over time compared with gauge observations and snow- hydrological modelling in the Lake Titicaca region
)
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22F%2E+Satgé%22">F. Satgé</searchLink><br /><searchLink fieldCode="AR" term="%22D%2E+Ruelland%22">D. Ruelland</searchLink><br /><searchLink fieldCode="AR" term="%22M%2E-P%2E+Bonnet%22">M.-P. Bonnet</searchLink><br /><searchLink fieldCode="AR" term="%22J%2E+Molina%22">J. Molina</searchLink><br /><searchLink fieldCode="AR" term="%22R%2E+Pillco%22">R. Pillco</searchLink> ) Array ( [Name] => TitleSource [Label] => Source [Group] => Src [Data] => Hydrology and Earth System Sciences, Vol 23, Pp 595-619 (2019) ) Array ( [Name] => Publisher [Label] => Publisher Information [Group] => PubInfo [Data] => Copernicus Publications, 2019. ) Array ( [Name] => DatePubCY [Label] => Publication Year [Group] => Date [Data] => 2019 ) Array ( [Name] => Subset [Label] => Collection [Group] => HoldingsInfo [Data] => LCC:Technology<br />LCC:Environmental technology. Sanitary engineering<br />LCC:Geography. Anthropology. Recreation<br />LCC:Environmental sciences ) Array ( [Name] => Subject [Label] => Subject Terms [Group] => Su [Data] => <searchLink fieldCode="DE" term="%22Technology%22">Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+technology%2E+Sanitary+engineering%22">Environmental technology. Sanitary engineering</searchLink><br /><searchLink fieldCode="DE" term="%22TD1-1066%22">TD1-1066</searchLink><br /><searchLink fieldCode="DE" term="%22Geography%2E+Anthropology%2E+Recreation%22">Geography. Anthropology. Recreation</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+sciences%22">Environmental sciences</searchLink><br /><searchLink fieldCode="DE" term="%22GE1-350%22">GE1-350</searchLink> ) Array ( [Name] => Abstract [Label] => Description [Group] => Ab [Data] => This paper proposes a protocol to assess the space–time consistency of 12 satellite-based precipitation products (SPPs) according to various indicators, including (i) direct comparison of SPPs with 72 precipitation gauges; (ii) sensitivity of streamflow modelling to SPPs at the outlet of four basins; and (iii) the sensitivity of distributed snow models to SPPs using a MODIS snow product as reference in an unmonitored mountainous area. The protocol was applied successively to four different time windows (2000–2004, 2004–2008, 2008–2012 and 2000–2012) to account for the space–time variability of the SPPs and to a large dataset composed of 12 SPPs (CMORPH–RAW v.1, CMORPH–CRT v.1, CMORPH–BLD v.1, CHIRP v.2, CHIRPS v.2, GSMaP v.6, MSWEP v.2.1, PERSIANN, PERSIANN–CDR, TMPA–RT v.7, TMPA–Adj v.7 and SM2Rain–CCI v.2), an unprecedented comparison. The aim of using different space scales and timescales and indicators was to evaluate whether the efficiency of SPPs varies with the method of assessment, time window and location. Results revealed very high discrepancies between SPPs. Compared to precipitation gauge observations, some SPPs (CMORPH–RAW v.1, CMORPH–CRT v.1, GSMaP v.6, PERSIANN, and TMPA–RT v.7) are unable to estimate regional precipitation, whereas the others (CHIRP v.2, CHIRPS v.2, CMORPH–BLD v.1, MSWEP v.2.1, PERSIANN–CDR, and TMPA–Adj v.7) produce a realistic representation despite recurrent spatial limitation over regions with contrasted emissivity, temperature and orography. In 9 out of 10 of the cases studied, streamflow was more realistically simulated when SPPs were used as forcing precipitation data rather than precipitation derived from the available precipitation gauge networks, whereas the SPP's ability to reproduce the duration of MODIS-based snow cover resulted in poorer simulations than simulation using available precipitation gauges. Interestingly, the potential of the SPPs varied significantly when they were used to reproduce gauge precipitation estimates, streamflow observations or snow cover duration and depending on the time window considered. SPPs thus produce space–time errors that cannot be assessed when a single indicator and/or time window is used, underlining the importance of carefully considering their space–time consistency before using them for hydro-climatic studies. Among all the SPPs assessed, MSWEP v.2.1 showed the highest space–time accuracy and consistency in reproducing gauge precipitation estimates, streamflow and snow cover duration. ) Array ( [Name] => TypeDocument [Label] => Document Type [Group] => TypDoc [Data] => article ) Array ( [Name] => Format [Label] => File Description [Group] => SrcInfo [Data] => electronic resource ) Array ( [Name] => Language [Label] => Language [Group] => Lang [Data] => English ) Array ( [Name] => ISSN [Label] => ISSN [Group] => ISSN [Data] => 1027-5606<br />1607-7938 ) Array ( [Name] => NoteTitleSource [Label] => Relation [Group] => SrcInfo [Data] => https://www.hydrol-earth-syst-sci.net/23/595/2019/hess-23-595-2019.pdf; https://doaj.org/toc/1027-5606; https://doaj.org/toc/1607-7938 ) Array ( [Name] => DOI [Label] => DOI [Group] => ID [Data] => 10.5194/hess-23-595-2019 ) Array ( [Name] => URL [Label] => Access URL [Group] => URL [Data] => <link linkTarget="URL" linkTerm="https://doaj.org/article/9cedbcbd86764c8b87e6f1f5662c4259" linkWindow="_blank">https://doaj.org/article/9cedbcbd86764c8b87e6f1f5662c4259</link> ) Array ( [Name] => AN [Label] => Accession Number [Group] => ID [Data] => edsdoj.9cedbcbd86764c8b87e6f1f5662c4259 ) |
| RecordInfo |
Array
(
[BibEntity] => Array
(
[Identifiers] => Array
(
[0] => Array
(
[Type] => doi
[Value] => 10.5194/hess-23-595-2019
)
)
[Languages] => Array
(
[0] => Array
(
[Text] => English
)
)
[PhysicalDescription] => Array
(
[Pagination] => Array
(
[PageCount] => 25
[StartPage] => 595
)
)
[Subjects] => Array
(
[0] => Array
(
[SubjectFull] => Technology
[Type] => general
)
[1] => Array
(
[SubjectFull] => Environmental technology. Sanitary engineering
[Type] => general
)
[2] => Array
(
[SubjectFull] => TD1-1066
[Type] => general
)
[3] => Array
(
[SubjectFull] => Geography. Anthropology. Recreation
[Type] => general
)
[4] => Array
(
[SubjectFull] => Environmental sciences
[Type] => general
)
[5] => Array
(
[SubjectFull] => GE1-350
[Type] => general
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Consistency of satellite-based precipitation products in space and over time compared with gauge observations and snow- hydrological modelling in the Lake Titicaca region
[Type] => main
)
)
)
[BibRelationships] => Array
(
[HasContributorRelationships] => Array
(
[0] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => F. Satgé
)
)
)
[1] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => D. Ruelland
)
)
)
[2] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => M.-P. Bonnet
)
)
)
[3] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => J. Molina
)
)
)
[4] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => R. Pillco
)
)
)
)
[IsPartOfRelationships] => Array
(
[0] => Array
(
[BibEntity] => Array
(
[Dates] => Array
(
[0] => Array
(
[D] => 01
[M] => 02
[Type] => published
[Y] => 2019
)
)
[Identifiers] => Array
(
[0] => Array
(
[Type] => issn-print
[Value] => 10275606
)
[1] => Array
(
[Type] => issn-print
[Value] => 16077938
)
)
[Numbering] => Array
(
[0] => Array
(
[Type] => volume
[Value] => 23
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Hydrology and Earth System Sciences
[Type] => main
)
)
)
)
)
)
)
|
| IllustrationInfo |