Rayana Santos Araújo Palharini

ORCID: 0000-0001-5503-8450
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About
Contact & Profiles
Research Areas
  • Precipitation Measurement and Analysis
  • Meteorological Phenomena and Simulations
  • Climate variability and models
  • Gas Dynamics and Kinetic Theory
  • Soil Moisture and Remote Sensing
  • Spacecraft Dynamics and Control
  • Space Satellite Systems and Control
  • Spacecraft Design and Technology
  • Environmental and biological studies
  • Hydrology and Drought Analysis
  • Atmospheric aerosols and clouds
  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Geography and Environmental Studies
  • Fecal contamination and water quality
  • Salmonella and Campylobacter epidemiology
  • Vibrio bacteria research studies

Metropolitan University of Technology
2023-2025

National Institute for Space Research
2013-2022

Pontificia Universidad Católica de Chile
2021-2022

Millennium Initiative for Collaborative Research on Bacterial Resistance
2021-2022

Research Center for Integrated Disaster Risk Management
2021-2022

In developing countries, accurate rainfall estimation with adequate spatial distribution is limited due to sparse rain gauge networks. One way solve this problem the use of satellite-based precipitation products. These satellite products have significant coverage estimates and it fundamental importance investigate their performance across space–time scales factors that affect uncertainties. open literature, some studies already analyzed ability estimate average values. investigations found...

10.3390/rs12132085 article EN cc-by Remote Sensing 2020-06-29

This study aims to analyze the climatological classification of precipitating clouds in Northeast Brazil using radar on board Tropical Rainfall Measuring Mission (TRMM) satellite. Thus, for this research a time series 15 years satellite data (period 1998–2012) was analyzed order identify what types produce precipitation estimated by Precipitation Radar (PR) and how often these occur. From results work it possible estimate average relative frequency each type cloud present weather systems...

10.1155/2017/5916150 article EN cc-by Advances in Meteorology 2017-01-01

The São Francisco River basin is one of the largest in Brazilian territory. This has enormous economic, social and cultural importance for country. Its water used human animal supply, irrigation energy production. located an area with different climatic characteristics (humid semiarid) studies related to precipitation are very important this region. In scenario, objective investigation present assessment rainfall estimated through Integrated Multi-SatellitE Retrievals Global Precipitation...

10.3390/w13192714 article EN Water 2021-10-01

The number of natural disasters triggered by extreme events is increasing worldwide and significantly impacts modern society. Extreme rainfall one the most important factors contributing to these events. A better understanding physical process that causes can allow rapid responses from decision-makers lessen impact on local population. Satellite monitoring widely used for this purpose essential regions where terrestrial observations are limited or non-existent. primary study describe...

10.3390/atmos13101680 article EN cc-by Atmosphere 2022-10-14

The main objective of this study is to assess the ability several high-resolution satellite-based precipitation estimates represent Precipitation Diurnal Cycle (PDC) over Brazil during 2014–2018 period, after launch Global Measurement satellite (GPM). selected algorithms are Satellite Mapping (GSMaP), Integrated Multi-satellitE Retrievals for GPM (IMERG) and Climate Prediction Center (CPC) MORPHing technique (CMORPH). Hourly rain gauge data from different national regional networks were used...

10.3390/rs12142339 article EN cc-by Remote Sensing 2020-07-21

Abstract The climate modeling techniques of event attribution enable systematic assessments the extent that anthropogenic change may be altering probability or magnitude extreme events. In consecutive years 2018, 2019, and 2020, rainfalls caused repeated flooding impacts in lower Parnaíba River Northeastern Brazil. We studied effect alterations precipitation resulting from human influences on had likelihood using two ensembles HadGEM3‐GA6 atmospheric model: one driven by both natural...

10.1002/cli2.16 article EN Climate Resilience and Sustainability 2021-08-23

A estação chuvosa nas regiões Sudeste e Centro-Oeste do Brasil é o objeto de estudo da presente pesquisa, que incide sobre a caracterização das condições atmosféricas umidade fluxos calor (latente sensível) nos momentos precedem início chuvas nessas para período 2000-2010. Dados reanálise água precipitável Climate Forcast Reanalysis System (CFSR) foram utilizados identificar chuvosa, usando metodologia proposta por Zeng Lu (2004). Esta utiliza Índice Normalizado Água Precipitável (NPWI),...

10.5902/2179460x11602 article PT cc-by-nc-sa Ciência e Natura 2013-11-13
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