Precipitation Diurnal Cycle Assessment of Satellite-Based Estimates over Brazil

Autor: João Maria de Sousa Afonso, Daniel Alejandro Vila, Manoel Alonso Gan, David Pareja Quispe, Naurinete de Jesus da Costa Barreto, Joao Henry Huamán Chinchay, Rayana Santos Araujo Palharini

Publikováno v: Remote Sensing, Vol 12, Iss 14, p 2339 (2020)

The main objective of this study is to assess the ability of several high-resolution satellite-based precipitation estimates to represent the Precipitation Diurnal Cycle (PDC) over Brazil during the 2014–2018 period, after the launch of the Global

Externí odkaz: https://doaj.org/article/886489c95b3542d7b69e1889c477e0f9

Inflatable aerodynamic decelerator for CubeSat reentry and recovery: Altitude effects on the flowfield structure

Autor: Diego Rioseco Olave, Nicolas Caqueo Jara, Rodrigo Cassineli Palharini, Rayana Santos Araujo Palharini, Emanuela Gaglio, Raffaele Savino

In the present investigation, numerical simulations are conducted in order to characterize the flowfield structure of Inflatable Aerodynamic Decelerators (IAD) for CubeSat reentry and recovery. IAD may inflate to its full size before the reentry proc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00c9c9237f0145fd581e0e56da410faf
https://hdl.handle.net/11588/919657

Event attribution of Parnaíba River floods in Northeastern Brazil

Autor: Conrado M. Rudorff, João Paulo Lyra Fialho Brêda, Simon F. B. Tett, Rayana Santos Araujo Palharini, Christopher Cunningham, Sarah Sparrow, Marcia R. G. Guedes, Flávia Noronha Dutra Ribeiro, Fraser C. Lott

Publikováno v: Rudorff, C, Sparrow, S, Guedes, M R G, Tett, S F B, Brêda, J P L F, Cunningham, C, Ribeiro, F N D, Palharini, R S A & Lott, F C 2021, ' Event attribution of Parnaíba River floods in Northeastern Brazil ', Climate Resilience and Sustainability . https://doi.org/10.1002/cli2.16
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

The climate modeling techniques of event attribution enable systematic assessments of the extent that anthropogenic climate change may be altering the probability or magnitude of extreme events. In the consecutive years of 2018, 2019, and 2020, rainf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f29cd0d3ada1cd802b54b449845cb80a
https://doi.org/10.1002/cli2.16

A new approach to detect extreme events: a case study using remotely-sensed precipitation time-series data

Autor: Fabio Dall Cortivo, Philipe Riskalla Leal, Rayana Santos Araujo Palharini, Milton Kampel, Ricardo José de Paula Souza e Guimarães

Publikováno v: Remote Sensing Applications: Society and Environment. 24:100618

Detecting and predicting extreme events are of major importance for socioeconomic, healthcare and ecological purposes. This study proposes an alternative model to detect extreme events based on analyses of probability distribution functionffns s ( f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c2a485374abdda55ac919973e2dc7361
https://doi.org/10.1016/j.rsase.2021.100618

Assessment of extreme rainfall estimates from satellite-based: Regional analysis

Autor: Rayana Santos Araujo Palharini, Daniele Tôrres Rodrigues, Rodrigo Cassinelli Palharini, Enrique Vieira Mattos, George Ulguim Pedra, Daniel Vila

Publikováno v: Remote Sensing Applications: Society and Environment. 23:100603

Excessive rain may cause several problems for society. Understanding the behaviour of extreme rainfall and quantifying it in an assertive manner is important for whole society. The purpose of this work is to evaluate the ability of satellite precipit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bf33ba5e39de7dc877f2d1c8814ef5c1
https://doi.org/10.1016/j.rsase.2021.100603