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São Paulo (ˌsaʊ_ˈpaʊloʊ, sɐ̃w ˈpawlu; literally 'Saint Paul') is the most populous city in Brazil and the capital of the state of São Paulo. Listed by the GaWC as an alpha global city, São Paulo is the most populous city outside of Asia and the world's 4th largest city proper by population. Additionally, São Paulo is the largest Portuguese-speaking city in the world. It exerts strong international influences in commerce, finance, arts and entertainment. The city's name honors the Apostle, Saint Paul of Tarsus. The city's metropolitan area, the Greater São Paulo, ranks as the most populous in Brazil and the 12th most populous on Earth. The process of conurbation between the metropolitan areas around the Greater São Paulo (Campinas, Santos, Jundiaí, Sorocaba and São José dos Campos) created the São Paulo Macrometropolis, a megalopolis with more than 30 million inhabitants, one of the most populous urban agglomerations in the world. Having the largest economy by GDP in Latin America, the

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Big House. Du générique au spécifique (Sao Paulo, Brésil)

Stéphanie Droux

PERIPHERIE 5:30 AM ; Il est 5h je me lève, aujourd'hui je dois me rendre au centre de la ville pour mon travail. Je me dépêche, il me reste 4h de route et encore s'il n'y a pas d'embouteillages … Hop! Je prends mes clés, mon sac et mon pass pour le bus et le métro. ; CENTRE 10:15 AM ; Plus qu'un trajet, on m'a dit que l'immeuble était tout proche de la sortie du métro. ; SAO BENTO 10:45 AM ; On me bouscule, je cherche cette nouvelle construction dont tout le monde parle, elle est là, au-dessus du métro. Je monte, à l'étage une femme s'approche de moi: ; Olà, vous êtes Maria du MTST? Je m'appelle Fernanda, c'est moi qui fait la visite! Venez suivez-moi … Aujourd'hui beaucoup de parents travaillent, l'école n'a pas commencé alors les enfants sont encore là j'ai dit aux plus grands de s'amuser dans la salle de jeux, pour que je puisse m'occuper des plus petits dans la garderie, vous savez ici nous vivons tous ensemble dans une grande maison, chaque famille ou couple a sa pièce privée, mais le plus souvent nous nous retrouvons dans les espaces communs pour discuter, manger ou regarder le foot. Tout le monde participe à sa manière au bien-être et à l'entretien de notre grande maison. Ici on est proche du travail, l'école est à cinq minutes et surtout il y a des hôpitaux et des commerces, je peux voir ma famille le soir et nous faisons des économies pour pouvoir un jour, qui sait, avoir notre propre chez nous … Mais fini de parler de moi! Allons discuter autour d'un café, mes nouvelles amies ont hâte de vous parler de leur parcours.”

2014

Rainfall retrieval with commercial microwave links in Sao Paulo, Brazil

Timothy Hugh Raupach

2018

Rainfall retrieval with commercial microwave links in Sao Paulo, Brazil

Timothy Hugh Raupach

In the last decade there has been a growing interest from the hydrometeorological community regarding rainfall estimation from commercial microwave link (CML) networks. Path-averaged rainfall intensities can be retrieved from the signal attenuation between cell phone towers. Although this technique is still in development, it offers great opportunities for the retrieval of rainfall rates at high spatiotemporal resolutions very close to the Earth's surface. Rainfall measurements at high spatiotemporal resolutions are highly valued in urban hydrology, for instance, given the large impact that flash floods exert on society. Flash floods are triggered by intense rainfall events that develop over short time scales. Here, we present one of the first evaluations of this measurement technique for a humid subtropical climate. Rainfall estimation for subtropical climates is highly relevant, as many countries with few surface rainfall observations are located in such areas. The test bed of the current study is the Brazilian city of Sao Paulo. The open-source algorithm RAINLINK was applied to retrieve rainfall intensities from (power) attenuation measurements. The performance of RAINLINK estimates was evaluated for 145 of the 213 CMLs in the Sao Paulo metropolitan area for which we received data, for 81 days between October 2014 and January 2015. We evaluated the retrieved rainfall intensities and accumulations from CMLs against those from a dense automatic gauge network. Results were found to be promising and encouraging when it comes to capturing the city-average rainfall dynamics. Mixed results were obtained for individual CML estimates, which may be related to erroneous metadata.

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