English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

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

Authors

Aybar,  C.
External Organizations;

/persons/resource/fernandez.carlos

Fernández,  Carlos
Potsdam Institute for Climate Impact Research;

Huerta,  A.
External Organizations;

Lavado,  W.
External Organizations;

Vega,  F.
External Organizations;

Felipe-Obando,  O.
External Organizations;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PIKpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

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


Cite as: https://publications.pik-potsdam.de/pubman/item/item_23316
Abstract
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.