Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day

Aybar, C., Fernández, C., Huerta, A., Lavado, W., Vega, F., Felipe-Obando, O. (2020): Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day. - Hydrological Sciences Journal, 65, 5, 770-785.
https://doi.org/10.1080/02626667.2019.1649411

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
8590.pdf (Verlagsversion), 4MB
 
Datei-Permalink:
-
Name:
8590.pdf
Beschreibung:
-
Sichtbarkeit:
Privat
MIME-Typ / Prüfsumme:
application/pdf
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Aybar, C.1, Autor
Fernández, Carlos2, Autor              
Huerta, A.1, Autor
Lavado, W.1, Autor
Vega, F.1, Autor
Felipe-Obando, O.1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: A new gridded rainfall dataset available for Peru is introduced, called PISCOp V2.1 (Peruvian Interpolated data of SENAMHI’s Climatological and Hydrological Observations). PISCOp has been developed for the period 1981 to the present, with an average latency of eight weeks at 0.1° spatial resolution. The merging algorithm is based on geostatistical and deterministic interpolation methods including three different rainfall sources: (i) the national quality-controlled and infilled raingauge dataset, (ii) radar-gauge merged precipitation climatologies and (iii) the Climate Hazards Group Infrared Precipitation (CHIRP) estimates. The validation results suggest that precipitation estimates are acceptable showing the highest performance for the Pacific coast and the western flank of the Andes. Furthermore, a meticulous quality-control and gap-infilling procedure allowed us to reduce the formation of inhomogeneities (non-climatic breaks). The dataset is publicly available at https://piscoprec.github.io/ and is intended to support hydrological studies and water management practices.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2019-07-292020
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1080/02626667.2019.1649411
PIKDOMAIN: RD2 - Climate Resilience
eDoc: 8590
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Hydrological Sciences Journal
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 65 (5) Artikelnummer: - Start- / Endseite: 770 - 785 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals206
Publisher: Taylor & Francis