Dr. Marcos Benso

This week I started a new chapter in my academic career as a professor of Data Science for Biosystems Engineering at @ESALQMidias USP/Esalq.

We used an explainable machine learning analysis to identify key climate indices affecting maize and soybean yields in Brazil. Results reveal the temporal sensitivity of these indices and critical yield loss thresholds, informing policy and adaptation strategies.

It's a pleasure to share my recent publish paper entitles A data-driven framework for assessing climatic impact drivers in the context of food security doi.org/10.5194/nhess-… at @EGU_NHESS

Are you in for an exciting and diverse space for discussing flood risk? I'm all in for the next icfm10.com that will take place in London/Ontario - Canada. The call for abstracts is getting to an end next week. The deadline is on December 15th.

💧🌧️ Improving the Accuracy of #Flood Susceptibility #Prediction by Combining #MachineLearning Models and the Expanded Flood Inventory Data ✍️ Han Yu et al. 🔗 mdpi.com/2072-4292/15/1…

@GescilamUchoa @IOPPublishing @SBallarinAndre Excellent paper!!

Excited to share our latest publication, 'Escalating threat of human-perceived heatwaves in Brazil,' in Environmental Research Communications (@IOPPublishing), led by Dr. André Ballarin (@SBallarinAndre). Check it out: dx.doi.org/10.1088/2515-7… #ClimateChange #Heatwaves #Brazil

Sabe aquela estória de que o papel dos nervos do estômago durante uma refeição é só informar ao cérebro sobre a chegada de comida, e saciar a fome? Acabou de ser enterrada por um neurocientista brasileiro. Ivan de Araujo está de volta com outro trabalho igualmente complicado e elegantérrimo, desta vez atacando a conexão intestino-cérebro, aquela que tem dado o que falar desde que virou moda estudar o microbioma: as bactérias “boas” que habitam nossas entranhas. Que as bichinhas mudam nosso metabolismo e afetam até nosso estado de espírito, isso já é ponto pacífico. A questão que permanece é: como? Minhas colunas da Folha agora estão disponíveis gratuitamente no meu site. Corre lá! suzanaherculanohouzel.com/pt/brasileiro-…

@euzebrasil Nice, I also think that this workflow is suited for hydro-enforcing a DEM. But I have some concerns about it and I blame this paper onlinelibrary.wiley.com/doi/abs/10.100…

@mr_benso I would create a raster of the drainage line with the corrected DEM and I would use the burn function of the GIS software using the original DEM as reference. The step-by-step would be: Vector with the pathway -> merge with the drainage line DEM -> burn it to the original DEM

How do you perform hydro-enforcing in DEM data?

1. What is YHS? The @YoungHydrology is an international society of scientific hydrologists aiming to foster interaction and active participation among young hydrologists in the hydrological community.

What is the purpose of YHS - BR? Hydrology in Brazil is diverse and complex, encompassing everything from the world's largest river basin, the Amazon, to significant basins like the Paraná, São Francisco, and Tocantins-Araguaia. Source: Getty images

@UrbanDemog @BrunoHMioto Thank you.. I'm actually a big fan of geobr.. in my case, hidrobR is under development, so I hope in the future make it a well-rounded package and publish it on Cran..

@mr_benso nice! @BrunoHMioto and I tought of including this type of data in #geobr but we never had the chance to do so github.com/ipeaGIT/geobr/…. It's such a big topic with so many data sets that I'm happy to see a package dedicated to it.

@Gsoyer_ Thank you ☺️

I just published on my website a revised version of the ebook "A travel through time to explore past and future megadroughts", albertomontanari.it/ebookdroughts - Some minor revisions and a new section on megadroughts during the Common Era. Let me know if you have any comment. Thanks! 🙂

We are hosting many visitors this week. Mr Shengyu Kang from Wuhan Univ introduced his very recent work on GPU-usage possibility in CaMa-Flood, and we learned a lot. It seems drastic speed-up by GPU is feasible!!! Super exciting!

@sumantach26 Yes, this package was designed to facilitate the download of data from the Brazilian hydrological network. However, in the future we can include other web services.

@mr_benso Is it only available for Brazil?

Using the package hidrobR, I could quickly check Rio Madeira historical streamflow time series from 1980 to 2024

New research article: Hyper-resolution flood hazard mapping at the national scale doi.org/10.5194/nhess-…

New opinion article: HESS Opinions: The sword of Damocles of the impossible flood doi.org/10.5194/hess-2…