Fiorella Vega

Fiorella Vega
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Fiorella verified their affiliation via an institutional email.
Verified
Fiorella verified their affiliation via an institutional email.
  • Master of Science
  • PhD Student at Universität Potsdam

About

11
Publications
12,692
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247
Citations
Introduction
Fiorella Vega currently works as Hydrology researcher in Servicio Nacional de Meteorología e Hidrología del Peru. Fiorella does research in Remote Sensing, Meteorology and Climatology. Their most recent publication is 'Assessing hydrological changes in a regulated river system over the last 90 years in Rimac Basin (Peru)'.
Current institution
Universität Potsdam
Current position
  • PhD Student
Additional affiliations
Universität Potsdam
Position
  • PhD Student

Publications

Publications (11)
Article
Full-text available
Hydrological changes were assessed considering possible changes in precipitation and regulation or hydraulic diversion projects developed in the basin since 1960s in terms of improving water supply of the Rimac River, which is the main source of fresh water of Peru’s capital. To achieve this objective, a trend analysis of precipitation and flow ser...
Article
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...
Article
Full-text available
Most hydrological studies rely on a model calibrated using discharge alone. However, judging the model reliability based on such calibration is problematic, as it does not guarantee the correct representation of internal hydrological processes. This study aims (a) to develop a comprehensive multi-objective calibration framework using remote sensing...
Article
A novel approach for estimating precipitation patterns is developed here and applied to generate a new hydrologically corrected daily precipitation dataset, called RAIN4PE (Rain for Peru and Ecuador), at 0.1° spatial resolution for the period 1981–2015 covering Peru and Ecuador. It is based on the application of 1) the random forest method to merge...
Article
Full-text available
In recent decades, remote sensing has become a powerful tool for continuously monitoring glacier dynamics in remote areas, enabling the identification of significant spatiotemporal changes due to its capacity to provide multitemporal information at regional and global scales. In this study, Landsat satellite images (1989–2020) were used to quantify...
Article
Full-text available
Revista de revisión por pares de ciencia e ingeniería de carácter multidisciplinar centrada en la investigación y el desarrollo de diversos ámbitos relacionados con la sostenibilidad.
Article
Full-text available
Here, we present BASD-CMIP6-PE, a high-resolution (1d, 10 km) climate dataset for Peru and Ecuador based on the bias-adjusted and statistically downscaled CMIP6 climate projections of 10 GCMs. This dataset includes both historical simulations (1850-2014) and future projections (2015-2100) for precipitation and minimum, mean, and maximum temperature...
Article
Full-text available
Study region: Vilcanota-Urubamba river basin, Southern Peru. Study focus: Hydraulic infrastructure plays a fundamental role for energy production, drinking and irrigation water storage and flood control in regions with seasonal river flow. The high-Andean Lake Sibinacocha has been regulated since 1988 to increase energy production of the Machupic...
Data
RAIN4PE is a novel daily gridded precipitation dataset obtained by merging multi-source precipitation data (satellite-based Climate Hazards Group InfraRed Precipitation, CHIRP (Funk et al. 2015), reanalysis ERA5 (Hersbach et al. 2020), and ground-based precipitation) with terrain elevation using the random forest regression method. Furthermore, RAI...

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