Publications

Sina Mehrdad, Dörthe Handorf, Ines Höschel, Khalil Karami, Johannes Quaas, Sudhakar Dipu, and Christoph Jacobi. Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach. EGUsphere, (2024):1-55, Copernicus Publications, 2024. [PUMA: Yaff 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]

Julien Lenhardt, Johannes Quaas, Dino Sejdinovic, and Daniel Klocke. Leveraging surface observations and passive satellite retrievals of cloud properties: Applications to cloud type classification and cloud base height retrieval. EGU24-18214Copernicus Meetings, 2024. [PUMA: yaff]

Julien Lenhardt, Johannes Quaas, Dino Sejdinovic, and Daniel Klocke. CloudViT: classifying cloud types in global satellite data and in kilometre-resolution simulations using vision transformers. EGUsphere, (2024):1-31, Copernicus Publications, 2024. [PUMA: yaff]

Maria C Novitasari, Johannes Quaas, and Miguel Rodrigues. ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data. 3358-3366, PMLR, 2024. [PUMA: Yaff]

Sina Mehrdad, Dörthe Handorf, Ines Höschel, Khalil Karami, Johannes Quaas, Sudhakar Dipu, and Christoph Jacobi. A Physics-informed Deep Learning Based Clustering to Investigate the Impact of Regional European Radiative Forcing on Arctic Climate and Upper Atmospheric Dynamics. EGU24-16391Copernicus Meetings, 2024. [PUMA: yaff]

Karin Mora, Michael Rzanny, Jana Wäldchen, Hannes Feilhauer, Teja Kattenborn, Guido Kraemer, Patrick Mäder, Daria Svidzinska, Sophie Wolf, and Miguel D. Mahecha. Macrophenological dynamics from citizen science plant occurrence data. Methods in Ecology and Evolution, (15)8:1422–1437, Wiley, July 2024. [PUMA: Yaff] URL