Publications

Victor Costa Porto, Francisco de Assis de Souza Filho, Taís Maria Nunes Carvalho, Ticiana Marinho de Carvalho Studart, and Maria Manuela Portela. A GLM copula approach for multisite annual streamflow generation. Journal of Hydrology, (598):126226, Elsevier, 2021. [PUMA: zno]

Taís Maria Nunes Carvalho, and Francisco de Assis de Souza Filho. A data-driven model to evaluate the medium-term effect of contingent pricing policies on residential water demand. Environmental Challenges, (3):100033, Elsevier, 2021. [PUMA: zno]

GA Reis, FA Souza Filho, RL Frota, LZR Rolim, and TMN Carvalho. Quantifying sensitivity to drought: Study case in São Paulo and Ceará, Brazil. 2019. [PUMA: zno]

Peter F Stadler, and Jörg Fallmann. Deutsches Netzwerk für Bioinformatik Infrastruktur, de. NBI, RNA Bioinformatics Center-Leipzig. Professur für Bioinformatik, Institut für Informatik, Universität Leipzig, 2022. [PUMA: Bioinformatics Bioinformatik Infrastruktur Netzwerk RNA nopdf zno]

Taís Maria Nunes Carvalho, Francisco de Assis de Souza Filho, and Mariana Madruga de Brito. Water management assessment with text mining. EGU General Assembly Conference Abstracts, EGU-8349, 2023. [PUMA: Zno topic_earthenvironment]

Thaís Antero de Oliveira, Francisco de Assis de Souza Filho, Gabriela de Azevedo Reis, and Taís Maria Nunes Carvalho. Identification of correlation between residential water demand and average income using the pool regression model: Study case in Fortaleza-Brazil. Water Utility Journal, 2020. [PUMA: zno]

Taís Maria Nunes Carvalho, and Francisco de Assis de Souza Filho. Variational Mode Decomposition Hybridized With Gradient Boost Regression for Seasonal Forecast of Residential Water Demand. Water Resources Management, (35)10:3431-3445, Springer Netherlands, 2021. [PUMA: zno]

Francisco Assis Souza Filho, Ticiana Marinho Carvalho Studart, Joao Dehon Pontes Filho, Eduardo Sávio Passos Rodrigues Martins, Sergio Rodrigues Ayrimoraes, Carlos Alberto Perdigão Pessoa, Larissa Zaira Rafael Rolim, Luiz Martins Araujo Junior, Samiria Maria Oliveira Silva, Taís Maria Nunes Carvalho, and Sandra Helena Silva Aquino. Integrated proactive drought management in hydrosystems and cities: building a nine-step participatory planning methodology. Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, (115)3:2179-2204, Springer & International Society for the Prevention and Mitigation of Natural Hazards, 2023. [PUMA: zno]

Louise Cavalcante, David W Walker, Sarra Kchouk, Germano Ribeiro Neto, Taís Maria Nunes Carvalho, Mariana Madruga de Brito, Wieke Pot, Art Dewulf, and Pieter van Oel. From insufficient rainfall to livelihoods: understanding the cascade of drought impacts and policy implications. EGUsphere, (2024):1-20, Copernicus Publications, 2024. [PUMA: zno]

David Montero, César Aybar, Chaonan Ji, Guido Kraemer, Maximilian Söchting, Khalil Teber, and Miguel D. Mahecha. On-Demand Earth System Data Cubes. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 7529–7532, IEEE, July 2024. [PUMA: zno] URL

Sophie Wolf, Miguel D. Mahecha, Francesco Maria Sabatini, Christian Wirth, Helge Bruelheide, Jens Kattge, Álvaro Moreno Martínez, Karin Mora, and Teja Kattenborn. Citizen science plant observations encode global trait patterns. Nature Ecology & Evolution, (6)12:1850–1859, Springer Science and Business Media LLC, October 2022. [PUMA: zno] URL

M. D. Mahecha, A. Bastos, F. J. Bohn, N. Eisenhauer, H. Feilhauer, T. Hickler, H. Kalesse‐Los, M. Migliavacca, F. E. L. Otto, J. Peng, S. Sippel, I. Tegen, A. Weigelt, M. Wendisch, C. Wirth, D. Al‐Halbouni, H. Deneke, D. Doktor, S. Dunker, G. Duveiller, A. Ehrlich, A. Foth, A. García‐García, C. A. Guerra, C. Guimarães‐Steinicke, H. Hartmann, S. Henning, H. Herrmann, P. Hu, C. Ji, T. Kattenborn, N. Kolleck, M. Kretschmer, I. Kühn, M. L. Luttkus, M. Maahn, M. Mönks, K. Mora, M. Pöhlker, M. Reichstein, N. Rüger, B. Sánchez‐Parra, M. Schäfer, F. Stratmann, M. Tesche, B. Wehner, S. Wieneke, A. J. Winkler, S. Wolf, S. Zaehle, J. Zscheischler, and J. Quaas. Biodiversity and Climate Extremes: Known Interactions and Research Gaps. Earth’s Future, (12)6American Geophysical Union (AGU), June 2024. [PUMA: zno] URL

Maximilian Söchting, Miguel D. Mahecha, David Montero, and Gerik Scheuermann. Lexcube: Interactive Visualization of Large Earth System Data Cubes. IEEE Computer Graphics and Applications, (44)1:25–37, Institute of Electrical and Electronics Engineers (IEEE), January 2024. [PUMA: zno] URL

Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito. Text mining uncovers the unique dynamics of socio-economic impacts of the 2018–2022 multi-year drought in Germany. Natural Hazards and Earth System Sciences, (24)5:1757–1777, Copernicus GmbH, May 2024. [PUMA: Zno] URL

Marco Hannemann, Almudena Garc\'ıa-Garc\'ıa, Rafael Poyatos, Miguel D Mahecha, and Jian Peng. Estimating transpiration globally by integrating the Priestley-Taylor model with neural networks. Environ. Res. Lett., (19)11:114089, IOP Publishing, November 2024. [PUMA: zno]

Oscar J. Pellicer-Valero, Miguel-Ángel Fernández-Torres, Chaonan Ji, Miguel D. Mahecha, and Gustau Camps-Valls. Explainable Earth Surface Forecasting under Extreme Events. arXiv, 2024. [PUMA: zno] URL

Teja Kattenborn, Sebastian Wieneke, David Montero, Miguel D. Mahecha, Ronny Richter, Claudia Guimarães-Steinicke, Christian Wirth, Olga Ferlian, Hannes Feilhauer, Lena Sachsenmaier, Nico Eisenhauer, and Benjamin Dechant. Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations. Communications Earth & Environment, (5)1Springer Science and Business Media LLC, October 2024. [PUMA: zno] URL

Brian Groenke, Kristoffer Aalstad, Norbert Pirk, Sebastian Westermann, Jakob Zscheischler, Guillermo Gallego, and Julia Boike. Simulation-based inference as a paradigm for scientific machine learning in the cryosphere and beyond. Copernicus GmbH, March 2024. [PUMA: zno] URL

Ni Li, Wim Thiery, Jakob Zscheischler, Gabriele Messori, Liane Guillou, Joakim Nivre, Olof Görnerup, Seppe Lampe, Clare Flynn, Mariana Madruga de Brito, and Aglae Jezequel. A new climate impact database using generative AI. Copernicus GmbH, November 2024. [PUMA: zno] URL

Daniel Klotz, Martin Gauch, Frederik Kratzert, Grey Nearing, and Jakob Zscheischler. Technical Note: The divide and measure nonconformity – how metrics can mislead when we evaluate on different data partitions. Hydrology and Earth System Sciences, (28)15:3665–3673, Copernicus GmbH, August 2024. [PUMA: zno] URL