Assessment of Multi-Satellite Precipitation Products over the Himalayan Mountains of Pakistan, South Asia

Simple item page
dc.date.accessioned2022-08-22T12:40:58Z
dc.date.available2022-08-22T12:40:58Z
dc.date.issued2022-07-11
dc.description.sponsorshipGefördert durch den Publikationsfonds der Universität Kasselger
dc.identifierdoi:10.17170/kobra-202208226715
dc.identifier.urihttp://hdl.handle.net/123456789/14087
dc.language.isoeng
dc.relation.doidoi:10.3390/su14148490
dc.rightsNamensnennung 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectPERSIANN familyeng
dc.subjectsatelliteeng
dc.subjectprecipitationeng
dc.subjectassessmenteng
dc.subjectHimalayan Mountainseng
dc.subjectSouth Asiaeng
dc.subject.ddc630
dc.subject.ddc620
dc.subject.swdPakistanger
dc.subject.swdHimalayager
dc.subject.swdNiederschlagsmengeger
dc.subject.swdMeteorologische Stationger
dc.subject.swdKlimager
dc.subject.swdMessgerätger
dc.titleAssessment of Multi-Satellite Precipitation Products over the Himalayan Mountains of Pakistan, South Asiaeng
dc.typeAufsatz
dc.type.versionpublishedVersion
dcterms.abstractPerformance assessment of satellite-based precipitation products (SPPs) is critical for their application and development. This study assessed the accuracies of four satellite-based precipitation products (PERSIANN-CDR, PERSIANN-CCS, PERSIANN-DIR, and PERSIANN) using data of in situ weather stations installed over the Himalayan Mountains of Pakistan. All SPPs were evaluated on annual, seasonal, monthly, and daily bases from 2010 to 2017, over the whole spatial domain and at point-to-pixel scale. The assessment was conducted using widely used evaluation indices (root mean square error (RMSE), correlation coefficient (CC), bias, and relative bias (rBias)) along with categorical indices (false alarm ratio (FAR), probability of detection (POD), success ratio (SR), and critical success index (CSI)). Results showed: (1) PERSIANN and PERSIANN-DIR products efficiently traced the spatio-temporal distribution of precipitation over the Himalayan Mountains. (2) On monthly scale, the estimates of all SPPs were more consistent with the reference data than on the daily scale. (3) On seasonal scale, PERSIANN and PERSIANN-DIR showed better performances than the PERSIANN-CDR and PERSIANN-CCS products. (4) All SPPs were less accurate in sensing daily light to medium intensity precipitation events. Subsequently, for future hydro-meteorological investigations in the Himalayan range, we advocate the use of monthly PERSIANN and PERSIANN-DIR products.eng
dcterms.accessRightsopen access
dcterms.creatorNadeem, Muhammad Umer
dcterms.creatorAnjum, Muhammad Naveed
dcterms.creatorAfzal, Arslan
dcterms.creatorAzam, Muhammad
dcterms.creatorHussain, Fiaz
dcterms.creatorUsman, Muhammad
dcterms.creatorJavaid, Muhammad Mashood
dcterms.creatorMukhtar, Muhammad Ahsan
dcterms.creatorMajeed, Faizan
dcterms.source.articlenumber8490
dcterms.source.identifiereissn:2071-1050
dcterms.source.issueIssue 14
dcterms.source.journalSustainabilityeng
dcterms.source.volumeVolume 14
kup.iskupfalse

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
sustainability_14_08490.pdf
Size:
10.73 MB
Format:
Adobe Portable Document Format
Description:
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.03 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Artikel