Publications

Ni Li, Shorouq Zahra, Mariana Brito, Clare Flynn, Olof Görnerup, Koffi Worou, Murathan Kurfali, Chanjuan Meng, Wim Thiery, Jakob Zscheischler, Gabriele Messori, und Joakim Nivre. Using LLMs to Build a Database of Climate Extreme Impacts. Proceedings of the 1st Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2024), 93–110, Association for Computational Linguistics, 2024. [PUMA: imported topic_earthenvironment] URL

Mohit Anand, Friedrich J. Bohn, Gustau Camps-Valls, Rico Fischer, Andreas Huth, Lily-belle Sweet, und Jakob Zscheischler. Identifying compound weather drivers of forest biomass loss with generative deep learning. Environmental Data Science, (3)Cambridge University Press (CUP), 2024. [PUMA: imported topic_earthenvironment] URL

Daniel Klotz, Martin Gauch, Frederik Kratzert, Grey Nearing, und 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: imported topic_earthenvironment] URL

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

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

Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, Alexander Brenning, Wantong Li, Markus Reichstein, Joachim Denzler, Wei Shangguan, Guo Yu, Feini Huang, und Jakob Zscheischler. How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences. Earth’s Future, (12)7American Geophysical Union (AGU), Juli 2024. [PUMA: imported topic_earthenvironment] 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, und 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, Oktober 2024. [PUMA: imported topic_earthenvironment] URL

Marco Hannemann, Almudena Garc\'ıa-Garc\'ıa, Rafael Poyatos, Miguel D Mahecha, und 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: imported topic_earthenvironment]

Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, und 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, Mai 2024. [PUMA: imported topic_earthenvironment] URL

Maximilian Söchting, Miguel D. Mahecha, David Montero, und 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), Januar 2024. [PUMA: imported topic_earthenvironment] 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, und J. Quaas. Biodiversity and Climate Extremes: Known Interactions and Research Gaps. Earth’s Future, (12)6American Geophysical Union (AGU), Juni 2024. [PUMA: imported topic_earthenvironment] URL

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

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

Salim Soltani, Olga Ferlian, Nico Eisenhauer, Hannes Feilhauer, und Teja Kattenborn. From simple labels to semantic image segmentation: leveraging citizen science plant photographs for tree species mapping in drone imagery. Biogeosciences, (21)11:2909–2935, Copernicus GmbH, Juni 2024. [PUMA: imported topic_earthenvironment] URL

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

Sina Mehrdad, Dörthe Handorf, Ines Höschel, Khalil Karami, Johannes Quaas, Sudhakar Dipu, und 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: imported topic_earthenvironment]

Sina Mehrdad, Dörthe Handorf, Ines Höschel, Khalil Karami, Johannes Quaas, Sudhakar Dipu, und Christoph Jacobi. Arctic climate response to European radiative forcing: a deep learning study on circulation pattern changes. Weather and Climate Dynamics, (5)4:1223-1268, Copernicus Publications, 2024. [PUMA: imported topic_earthenvironment]

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

Julien Lenhardt, Johannes Quaas, Dino Sejdinovic, und 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: imported topic_earthenvironment]

Julien Lenhardt, Johannes Quaas, und Dino Sejdinovic. Marine cloud base height retrieval from MODIS cloud properties using machine learning. Atmospheric Measurement Techniques, (17)18:5655-5677, Copernicus Publications, 2024. [PUMA: imported topic_earthenvironment]

Maria Carolina Novitasari, Johannes Quaas, und Miguel RD Rodrigues. Cloudy with a chance of precision: satellite’s autoconversion rates forecasting powered by machine learning. Environmental Data Science, (3):e23, Cambridge University Press, 2024. [PUMA: imported topic_earthenvironment]

Julien Lenhardt, Johannes Quaas, Dino Sejdinovic, und 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: imported topic_earthenvironment]

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

Louise Cavalcante, David W Walker, Sarra Kchouk, Germano Ribeiro Neto, Taís Maria Nunes Carvalho, Mariana Madruga de Brito, Wieke Pot, Art Dewulf, und 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: imported topic_earthenvironment]

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, und 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: imported topic_earthenvironment]

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

Taís Maria Nunes Carvalho, und 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: imported topic_earthenvironment]

Thaís Antero de Oliveira, Francisco de Assis de Souza Filho, Gabriela de Azevedo Reis, und 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: imported topic_earthenvironment]

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

Taís Maria Nunes Carvalho, und 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: imported topic_earthenvironment]

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

Taís Maria Nunes Carvalho. Machine Learning for Water Resources Management. 2023. [PUMA: imported topic_earthenvironment]

Tais Maria Nunes Carvalho, Francisco De Assis de Souza Filho, und Marcos Abilio Medeiros de Saboia. Performance of rainwater tanks for runoff reduction under climate change scenarios: a case study in Brazil. Urban Water Journal, (17)10:912-922, Taylor & Francis, 2020. [PUMA: imported topic_earthenvironment]

Ticiana Marinho Carvalho Studart, Eduardo Sávio Passos Rodrigues Martins, Sérgio Rodrigues Ayrimoraes, Carlos Alberto Perdigão Pessoa, Larissa Zaira Rafael Rolim, Luiz Martins Araujo Junior, Samiria Maria Oliveira Silva, Taís Maria Nunes Carvalho, und 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, 2023. [PUMA: imported topic_earthenvironment]

LZR Rolim, FA Souza Filho, RV Rocha, GA Reis, und TMN Carvalho. Exploring the relationship between climate indices and hydrological time series using a machine learning approach. 2019. [PUMA: imported topic_earthenvironment]

Francisco W Ribeiro, Samiria MO da Silva, Francisco de A de Souza Filho, Taís MN Carvalho, und Tereza MX de M. Lopes. Diversification of urban water supply: An assessment of social costs and water production costs. Water Policy, (24)6:980-997, IWA Publishing, 2022. [PUMA: imported topic_earthenvironment]

Taís Maria Nunes Carvalho, Francisco de Assis de Souza Filho, und Tereza Margarida Xavier de Melo Lopes. Detecção de secas e visualização de padrões climáticos com aprendizado de máquina. ABRHidro-Associação Brasileira de Recursos Hidrícos, http://www. abrhidro. org. br/xxivsbrh, 2021. [PUMA: imported topic_earthenvironment]

Lívia de Oliveira Lima, Lucas Daniel de Carvalho Santos, Taís Maria Nunes Carvalho, und Francisco de Assis Souza Filho. Análise do desempenho de valas de infiltração para controle pluvial em cenários de mudanças climáticas: estudo de caso Fortaleza (CE). Revista DAE, (72)245:01-12, 2024. [PUMA: imported topic_earthenvironment]

Louise Caroline Peixoto Xavier, Samiria Maria Oliveira da Silva, Taís Maria Nunes Carvalho, João Dehon Pontes Filho, und Francisco de Assis de Souza Filho. Use of Machine Learning in Evaluation of Drought Perception in Irrigated Agriculture: The Case of an Irrigated Perimeter in Brazil. Water, (12)6:1546, Multidisciplinary Digital Publishing Institute, 2020. [PUMA: imported topic_earthenvironment]

Tereza Margarida Xavier de Melo Lopes, Samiria Maria Oliveira da Silva, Renata Locarno Frota, und Taís Maria Nunes Carvalho. Mapeamento da produção científica internacional sobre previsão da demanda hídrica urbana. ABRHidro-Associação Brasileira de Recursos Hidrícos, http://www. abrhidro. org. br/xxivsbrh, 2021. [PUMA: imported topic_earthenvironment]

GA Reis, FA Souza Filho, TA Oliveira, LZR Rolim, und TMN Carvalho. Identification of correlation between residential demand and average income using pool regression model. 2019. [PUMA: imported topic_earthenvironment]

Brenda Lara Duarte Souza Carneiro, Francisco de Assis de Souza Filho, Taís Maria Nunes Carvalho, und João Batista Sousa Raulino. Hydrological risk of dam failure under climate change. RBRH, (27):e19, Associação Brasileira de Recursos Hídricos, 2022. [PUMA: imported topic_earthenvironment]

Tereza Margarida Xavier de Melo Lopes, Samiria Maria Oliveira da Silva, Lais Marques de Oliveira, Taís Maria Nunes Carvalho, Brenda Arielly Mendonça Rodrigues, und Renata Locarno Frota. Modelagem dinâmica espacial aplicada à previsão da demanda hídrica. ABRHidro-Associação Brasileira de Recursos Hidrícos, http://www. abrhidro. org. br/xxivsbrh, 2021. [PUMA: imported topic_earthenvironment]

Taís Maria Nunes Carvalho, Jakob Zscheischler, Christian Kuhlicke, und Mariana Madruga de Brito. A global database of natural hazards impacts reported in the scientific literature. EGU General Assembly Conference Abstracts, 19940, 2024. [PUMA: imported topic_earthenvironment]

Taís Maria Carvalho, Samíria Maria Oliveira da Silva, Carla Beatriz Araújo, Renata Frota, Louise Caroline Xavier, Bárbara Bezerra, Eduarda Almeida, und Francisco de Assis de Souza Filho. Vulnerability index to COVID-19: Fortaleza, Brazil study case. Engenharia Sanitaria e Ambiental, (26):731-739, Associação Brasileira de Engenharia Sanitária e Ambiental-ABES, 2021. [PUMA: imported topic_earthenvironment]

Taís Maria Nunes Carvalho, Iran Eduardo Lima Neto, und Francisco de Assis Souza Filho. Uncovering the influence of hydrological and climate variables in chlorophyll-A concentration in tropical reservoirs with machine learning. Environmental Science and Pollution Research, (29)49:74967-74982, Springer Berlin Heidelberg, 2022. [PUMA: imported topic_earthenvironment]

TMN Carvalho, FA Souza Filho, VC Porto, GA Reis, und LZR Rolim. Integrated model of capacity expansion and operation of water supply systems including non-conventional water sources. 2019. [PUMA: imported topic_earthenvironment]

Taís Maria Nunes Carvalho, Carla Beatriz Costa de Araújo, Walter Jhameson Xavier Pereira, und Francisco de Assis de Souza Filho. Avaliação do uso de cisternas como medida compensatória para atenuação de picos de cheia na Bacia do Pajeú utilizando o SWMM. 2017. [PUMA: imported topic_earthenvironment]

Taís Maria Nunes Carvalho, Jakob Zscheischler, Christian Kuhlicke, und Mariana Madruga de Brito. A global database of natural hazards impacts reported in the scientific literature. EGU24-19940Copernicus Meetings, 2024. [PUMA: imported topic_earthenvironment]

Taís Maria Nunes Carvalho. Water demand modeling using machine learning techniques. 2019. [PUMA: imported topic_earthenvironment]

VC Porto, FA Souza Filho, TMN Carvalho, RV Rocha, und RL Frota. Application of stochastic dual dynamic programming in operation optimization of the Jaguaribe-Metropolitano reservoirs system. 2019. [PUMA: imported topic_earthenvironment]

Taís Maria Nunes Carvalho, Francisco de Assis de Souza Filho, und Mariana Madruga de Brito. Unveiling water allocation dynamics: a text analysis of 25 years of stakeholder meetings. Environmental Research Letters, (19)4:044066, IOP Publishing, 2024. [PUMA: imported topic_earthenvironment]

Taís Maria Nunes Carvalho, Francisco de Assis de Souza Filho, und Victor Costa Porto. Urban Water Demand Modeling Using Machine Learning Techniques: Case Study of Fortaleza, Brazil. Journal of Water Resources Planning and Management, (147)1:05020026, American Society of Civil Engineers, 2021. [PUMA: imported topic_earthenvironment]

Federico Sala, Carlotta Ficorella, Rebeca Martinez Vazquez, Hannah Marie Eichholz, Josef A Käs, und Roberto Osellame. Rapid prototyping of 3D biochips for cell motility studies using two-photon polymerization. Frontiers in bioengineering and biotechnology, (9):664094, Frontiers Media SA, 2021. [PUMA: imported topic_earthenvironment]

Hannah Marie Eichholz, Alissa Cornelis, Benjamin Wolf, Hanna Grubitzsch, Philip Friedrich, Ahmad Makky, Bahriye Aktas, Josef Alfons Käs, und Holger Stepan. Anatomy of the fetal membranes: Insights from spinning disk confocal microscopy. Archives of Gynecology and Obstetrics, (309)5:1919-1923, Springer Berlin Heidelberg, 2024. [PUMA: imported topic_earthenvironment]

Carlotta Ficorella, Hannah Marie Eichholz, Federico Sala, Rebeca Martínez Vázquez, Roberto Osellame, und Josef A Käs. Intermediate filaments ensure resiliency of single carcinoma cells, while active contractility of the actin cortex determines their invasive potential. New Journal of Physics, (23)8:083028, IOP Publishing, 2021. [PUMA: imported topic_earthenvironment]

HM Scholz-Marggraf, S Fritzsche, VG Serbo, A Afanasev, und A Surzhykov. Absorption of twisted light by hydrogenlike atoms. Physical Review A, (90)1:013425, American Physical Society, 2014. [PUMA: imported topic_earthenvironment]

Jonathan Wider, Jakob Kruse, Nils Weitzel, Janica C Bühler, Ullrich Köthe, und Kira Rehfeld. Towards learned emulation of interannual water isotopologue variations in General Circulation Models. Environmental Data Science, (2):e35, Cambridge University Press, 2023. [PUMA: imported topic_earthenvironment]

Kira Rehfeld, Jonathan Wider, Nadine Theisen, Martin Werner, Ullrich Köthe, und Nils Weitzel. The potential of machine learning for modeling spatio-temporal properties of water isotopologue distributions in precipitation. EGU General Assembly Conference Abstracts, EGU21-2979, 2021. [PUMA: imported topic_earthenvironment]

Olivier C Pasche, Jonathan Wider, Zhongwei Zhang, Jakob Zscheischler, und Sebastian Engelke. Validating Deep-Learning Weather Forecast Models on Recent High-Impact Extreme Events. arXiv preprint arXiv:2404.17652, 2024. [PUMA: imported topic_earthenvironment]

Chris Rackauckas, Maja Gwozdz, Anand Jain, Yingbo Ma, Francesco Martinuzzi, Utkarsh Rajput, Elliot Saba, Viral B Shah, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Avik Pal, und Chris Laughman. Composing modeling and simulation with machine learning in Julia. 1-17, IEEE, 2022. [PUMA: imported topic_earthenvironment]

Tom Eivind Glover, Ruben Jahren, Francesco Martinuzzi, Pedro Gonçalves Lind, und Stefano Nichele. A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Homogeneous Random Boolean Networks. arXiv e-prints, arXiv: 2407.18017, 2024. [PUMA: imported topic_earthenvironment]

Francesco Martinuzzi, Miguel D Mahecha, David Montero, Lazaro Alonso, und Karin Mora. SpectralIndices. jl: Streamlining spectral indices access and computation for Earth system research. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (48):89-95, Copernicus GmbH, 2024. [PUMA: imported topic_earthenvironment]

Francesco Martinuzzi, Miguel D Mahecha, Gustau Camps-Valls, David Montero, Tristan Williams, und Karin Mora. Learning extreme vegetation response to climate drivers with recurrent neural networks. Nonlinear Processes in Geophysics, (31)4:535-557, Copernicus Publications, 2024. [PUMA: imported topic_earthenvironment]

David Montero, Miguel D Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Jesús Anaya, und Sebastian Wieneke. Recurrent Neural Networks for Modelling Gross Primary Production. 4214-4217, IEEE, 2024. [PUMA: imported topic_earthenvironment]

Ranjan Anantharaman, Anas Abdelrehim, Francesco Martinuzzi, Sharan Yalburgi, Elliot Saba, Keno Fischer, Glen Hertz, Pepijn de Vos, Chris Laughman, Yingbo Ma, Viral Shah, Alan Edelman, und Chris Rackauckas. Composable and reusable neural surrogates to predict system response of causal model components. 2021. [PUMA: imported topic_earthenvironment]

Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel Mahecha, Oana-Iuliana Popescu, Oscar J Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, und Tristan Williams. AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. 2024. [PUMA: imported topic_earthenvironment]

Francesco Martinuzzi, Miguel D Mahecha, Gustau Camps-Valls, David Montero, Tristan Williams, und Karin Mora. Impact Predictability: Exploring Extremes in Biosphere Dynamics with Recurrent Neural Networks. EGU24-9569Copernicus Meetings, 2024. [PUMA: imported topic_earthenvironment]

D Montero, G Kraemer, A Anghelea, CA Camacho, G Brandt, G Camps-Valls, F Cremer, I Flik, F Gans, S Habershon, C Ji, T Kattenborn, L Martínez-Ferrer, F Martinuzzi, M Reinhardt, M Söchting, K Teber, und M Mahecha. Data cubes for earth system research: Challenges ahead. EarthArXiv (California Digital Library), 2023. [PUMA: imported topic_earthenvironment]

David Montero, César Aybar, Miguel D Mahecha, Francesco Martinuzzi, Maximilian Söchting, und Sebastian Wieneke. A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research. Scientific Data, (10)1:1-20, Nature Publishing Group, 2023. [PUMA: imported topic_earthenvironment]

David Montero, Miguel D Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Jesús Anaya, und Sebastian Wieneke. Estimating Gross Primary Production via Recurrent Neural Networks: A comparative analysis. EGU24-6773Copernicus Meetings, 2024. [PUMA: imported topic_earthenvironment]

Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D Mahecha, und Karin Mora. ReservoirComputing. jl: An efficient and modular library for reservoir computing models. Journal of Machine Learning Research, (23)288:1-8, 2022. [PUMA: imported topic_earthenvironment]

Tristan Williams, Francesco Martinuzzi, Gustau Camps-Valls, und Miguel D Mahecha. Evaluating Forest Resilience in Europe with Deep Learning Persistence Analysis. EGU24-20805Copernicus Meetings, 2024. [PUMA: imported topic_earthenvironment]

Tom Eivind Glover, Ruben Jahren, Francesco Martinuzzi, Pedro Gonçalves Lind, und Stefano Nichele. A sensitivity analysis of cellular automata and heterogeneous topology networks: partially-local cellular automata and homogeneous homogeneous random boolean networks. International Journal of Parallel, Emergent and Distributed Systems, 1-41, Taylor & Francis, 2024. [PUMA: imported topic_earthenvironment]

David Montero, Guido Kraemer, Anca Anghelea, César Aybar, Gunnar Brandt, Gustau Camps-Valls, Felix Cremer, Ida Flik, Fabian Gans, Sarah Habershon, Chaonan Ji, Teja Kattenborn, Laura Martínez-Ferrer, Francesco Martinuzzi, Martin Reinhardt, Maximilian Söchting, Khalil Teber, und Miguel D Mahecha. Earth System Data Cubes: Avenues for advancing Earth system research. arXiv preprint arXiv:2408.02348, 2024. [PUMA: imported topic_earthenvironment]

Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Angel Fernandez-Torres, Fabian Gans, Guido Kraemer, Francesco Martinuzzi, David Montero, Karin Mora, Oscar J Pellicer-Valero, Claire Robin, Maximilian Soechting, Melanie Weynants, und Miguel D Mahecha. DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes. arXiv preprint arXiv:2406.18179, 2024. [PUMA: imported topic_earthenvironment]

Melanie Brandmeier, und Eya Cherif. Taking the pulse of the Amazon rainforest by fusing multitemporal Sentinel 1 and 2 data for advanced deep-learning. EGU General Assembly Conference Abstracts, EGU21-3749, 2021. [PUMA: imported topic_earthenvironment]

Eya Cherif, Hannes Feilhauer, Katja Berger, Michael Ewald, Tobias B Hank, Kyle R Kovach, Philip A Townsend, Zhihui Wang, und Teja Kattenborn. From spectra to functional plant traits: Transferable multi-trait models from heterogeneous and sparse data. EGU General Assembly Conference Abstracts, EGU-10901, 2023. [PUMA: imported topic_earthenvironment]

Eya Cherif, Maximilian Hell, und Melanie Brandmeier. DeepForest: Novel deep learning models for land use and land cover classification using multi-temporal and-modal sentinel data of the amazon basin. Remote Sensing, (14)19:5000, MDPI, 2022. [PUMA: imported topic_earthenvironment]

Melanie Brandmeier, Maximilian Hell, Eya Cherif, und Andreas Nüchter. Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land Use/Land Cover Mapping. EGU General Assembly Conference Abstracts, EGU22-4300, 2022. [PUMA: imported topic_earthenvironment]

Eya Cherif, Hannes Feilhauer, Katja Berger, Phuong D Dao, Michael Ewald, Tobias B Hank, Yuhong He, Kyle R Kovach, Bing Lu, Philip A Townsend, und Teja Kattenborn. From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data. Remote Sensing of Environment, (292):113580, Elsevier, 2023. [PUMA: imported topic_earthenvironment]

Clemens Mosig, Randy Bush, Cristel Pelsser, Thomas C Schmidt, und Matthias Wählisch. Revisiting Recommended BGP Route Flap Damping Configurations. (5):22, 2021. [PUMA: imported topic_earthenvironment]

Teja Kattenborn, Clemens Mosig, Kc Pratima, Julian Frey, Oscar Perez-Priego, Felix Schiefer, Yan Cheng, Alastair Potts, Janusch Jehle, Mirko Mälicke, und Miguel Mahecha. deadtrees.earth - an open, dynamic database for accessing, contributing, analyzing, and visualizing remote sensing-based tree mortality data. EGU24-155022024. [PUMA: imported topic_earthenvironment]

Yan Cheng, Stefan Oehmcke, Clemens Mosig, Beloiu Mirela, Teja Kattenborn, Christin Abel, Dimitri Gominski, Thomas Nord-Larsen, Rasmus Fensholt, und Stephanie Horion. High-resolution mapping of tree mortality in European forests. EGU24-20213Copernicus Meetings, 2024. [PUMA: imported topic_earthenvironment]

Jakobus Möhring, Clemens Mosig, Yan Cheng, Miguel Mahecha, Oscar Perez Priego, Mirela Beloiu, Michele Volpi, Stéphanie Horion, Hooman Latifi, Elham Shafeian, Fabian Fassnacht, David Montero, Katarzyna Zielewska-Büttner, Etienne Laliberté, Myriam Cloutier, Marie-Therese Schmehl, Annett Frick, Helene Müller-Landau, KC Cushman, Joseph Hupy, Qin Ma, Yanjun Su, Pratima Khatri-Chhetri, Stefan Kruse, Julian Frey, Felix Schiefer, Samuli Junttila, Alastair Potts, Andreas Uhl, Christian Rossi, und Teja Kattenborn. Delineating Standing Deadwood in High-Resolution RGB Drone Imagery. EGU24-190252024. [PUMA: imported topic_earthenvironment]

Martin Reinhardt, Karin Mora, Gunnar Brandt, Tejas Morbagal Harish, David Montero, Chaonan Ji, Teja Kattenborn, Francesco Martinuzzi, Clemens Mosig, und Miguel D Mahecha. DeepFeatures: Remote sensing beyond spectral indices. EGU General Assembly Conference Abstracts, 18852, 2024. [PUMA: imported topic_earthenvironment]

Clemens Mosig, Janusch Vajna-Jehle, Miguel D Mahecha, Yan Cheng, Henrik Hartmann, David Montero, Samuli Junttila, Stephanie Horion, Mirela Beloiu Schwenke, Stephen Adu-Bredu, Djamil Al-Halbouni, Matthew Allen, Jan Altman, Claudia Angiolini, Rasmus Astrup, Caterina Barrasso, Harm Bartholomeus, Benjamin Brede, Allan Buras, Erik Carrieri, Gherardo Chirici, Myriam Cloutier, KC Cushman, James W Dalling, Jan Dempewolf, Martin Denter, Simon Ecke, Jana Eichel, Anette Eltner, Maximilian Fabi, Fabian Fassnacht, Matheus Pinheiro Feirreira, Julian Frey, Annett Frick, Selina Ganz, Matteo Garbarino, Milton Garcia, Matthias Gassilloud, Marziye Ghasemi, Francesca Giannetti, Roy Gonzalez, Carl Gosper, Konrad Greinwald, Stuart Grieve, Jesus Aguirre Gutierrez, Anna Goeritz, Peter Hajek, David Hedding, Jan Hempel, Melvin Hernandez, Marco Heurich, Eija Honkavaara, Tommaso Jucker, Jesse M Kalwij, Pratima Khatri-Chhetri, Hans-Joachim Klemmt, Niko Koivumaeki, Kirill Korznikov, Stefan Kruse, Robert Krueger, Etienne Laliberte, Liam Langan, Hooman Latifi, Jan Lehmann, Linyuan Li, Emily Lines, Javier Lopatin, Arko Lucieer, Marvin Ludwig, Antonia Ludwig, Paeivi Lyytikaeinen-Saarenmaa, Qin Ma, Giovanni Marino, Michael Maroschek, Fabio Meloni, Annette Menzel, Hanna Meyer, Mojdeh Miraki, Daniel Moreno-Fernandez, Helene C Muller-Landau, Mirko Maelicke, Jakobus Moehring, Jana Muellerova, Paul Neumeier, Roope Naesi, Lars Oppgenoorth, Melanie Palmer, Thomas Paul, Alastair Potts, Suzanne Prober, Stefano Puliti, Oscar Perez-Priego, Chris Reudenbach, Christian Rossi, Nadine Katrin Ruehr, Paloma Ruiz-Benito, Christian Mestre Runge, Michael Scherer-Lorenzen, Felix Schiefer, Jacob Schladebach, Marie-Therese Schmehl, Selina Schwarz, Rupert Seidl, Elham Shafeian, Leopoldo de Simone, Hormoz Sohrabi, Laura Sotomayor, Ben Sparrow, Benjamin SC Steer, Matt Stenson, Benjamin Stoeckigt, Yanjun Su, Juha Suomalainen, Michele Torresani, Josefine Umlauft, Nicolas Vargas-Ramirez, Michele Volpi, Vicente Vasquez, Ben Weinstein, Tagle Casapia Ximena, Katherine Zdunic, Katarzyna Zielewska-Buettner, Raquel Alves de Oliveira, Liz van Wagtendonk, Vincent von Dosky, und Teja Kattenborn. deadtrees. earth-An Open-Access and Interactive Database for Centimeter-Scale Aerial Imagery to Uncover Global Tree Mortality Dynamics. bioRxiv, 2024.10. 18.619094, Cold Spring Harbor Laboratory, 2024. [PUMA: imported topic_earthenvironment]

Caitlin Gray, Clemens Mosig, Randy Bush, Cristel Pelsser, Matthew Roughan, Thomas C Schmidt, und Matthias Wahlisch. BGP Beacons, Network Tomography, and Bayesian Computation to Locate Route Flap Damping. 492-505, 2020. [PUMA: imported topic_earthenvironment]

Clemens Mosig, Miguel Mahecha, David Montero, Yan Cheng, Oscar Perez Priego, Mirela Beloiu, Michele Volpi, Stéphanie Horion, Hooman Latifi, Elham Shafeian, Fabian Fassnacht, Selina Ganz, Katarzyna Zielewska-Büttner, Etienne Laliberté, Myriam Cloutier, Marie-Therese Schmehl, Annett Frick, Helene Müller-Landau, KC Cushman, Joseph Hupy, Qin Ma, Yanjun Su, Pratima Khatri-Chhetri, Stefan Kruse, Julian Frey, Felix Schiefer, Samuli Junttila, Alastair Potts, Andreas Uhl, Christian Rossi, und Tej Kattenborn. Mapping Tree Mortality at Global Scale Using Sentinel-2. EGU24-182302024. [PUMA: imported topic_earthenvironment]

David Montero, Miguel D Mahecha, César Aybar, Clemens Mosig, und Sebastian Wieneke. Facilitating advanced Sentinel-2 analysis through a simplified computation of Nadir BRDF Adjusted Reflectance. arXiv preprint arXiv:2404.15812, 2024. [PUMA: imported topic_earthenvironment]

Nico Eisenhauer, Karin Frank, Alexandra Weigelt, Bartosz Bartkowski, Rémy Beugnon, Katja Liebal, Miguel Mahecha, Martin Quaas, Djamil Al-Halbouni, Ana Bastos, und others. A belowground perspective on the nexus between biodiversity change, climate change, and human well-being. Journal of Sustainable Agriculture and Environment, (3)2:e212108, 2024. [PUMA: imported topic_earthenvironment]

Jana Roth, Karin Mora, Djamil Al-Halbouni, Ronny Richter, Teja Kattenborn, Sebastian Johannes Wieneke, Ana Bastos, Alexandra Weigelt, Christian Wirth, und Josefine Umlauft. How trees sway and what it tells us about their overall vitality. 2024. [PUMA: imported topic_earthenvironment]

Julia Peters, Anja Neumann, Marco Jaeger, Lukas Gienapp, und Josefine Umlauft. ml4xcube: Machine Learning Toolkits for Earth System Data Cubes. EarthArXiv, 2024. [PUMA: imported topic_earthenvironment]

Hans von Suchodoletz, Christoph Zielhofer, Silvan Hoth, Josefine Umlauft, Birgit Schneider, Christian Zeeden, Lasha Sukhishvili, und Dominik Faust. North Atlantic influence on Holocene flooding in the southern Greater Caucasus. The Holocene, (28)4:609--620, SAGE Publications Sage UK: London, England, 2018. [PUMA: imported topic_earthenvironment]

Robert Bussert, Horst Kämpf, Christina Flechsig, Katja Hesse, Tobias Nickschick, Qi Liu, Josefine Umlauft, Tomás Vylita, Dirk Wagner, Thomas Wonik, und others. Drilling into an active mofette: pilot-hole study of the impact of CO 2-rich mantle-derived fluids on the geo--bio interaction in the western Eger Rift (Czech Republic). Scientific Drilling, (23):13--27, Copernicus Publications Göttingen, Germany, 2017. [PUMA: imported topic_earthenvironment]

J Umlauft, und M Korn. 3-D fluid channel location from noise tremors using matched field processing. Geophysical Journal International, (219)3:1550--1561, Oxford University Press, 2019. [PUMA: imported topic_earthenvironment]

Josefine Umlauft, Philippe Roux, Albanne Lecointre, Florent Gimbert, Ugo Nanni, Andrea Walpersdorf, Bertrand Rouet-LeDuc, Claudia Hulbert, Daniel Trugman, und Paul Johnson. Mapping Glacier Basal Sliding with Beamforming and Artificial Intelligence. EGU General Assembly Conference Abstracts, EGU22--6948, 2022. [PUMA: imported topic_earthenvironment]

Johanna Zitt, Patrick Paitz, Fabian Walter, und Josefine Umlauft. Self-Supervised Coherence-Based Denoising on Cryoseismological Distributed Acoustic Sensing Data. Authorea Preprints, Authorea, 2024. [PUMA: imported topic_earthenvironment]

Johanna Zitt, Patrick Paitz, Fabian Walter, und Josefine Umlauft. Uncovering Stick-Slip Events: Denoising Cryoseismological Distributed Acoustic Sensing Data with an Autoencoder. 2024. [PUMA: imported topic_earthenvironment]

Josefine Umlauft, Christopher W Johnson, Philippe Roux, Daniel Taylor Trugman, Albanne Lecointre, Andrea Walpersdorf, Ugo Nanni, Florent Gimbert, Bertrand Rouet-Leduc, Claudia Hulbert, und others. Mapping glacier basal sliding with machine learning. EarthArXiv, 2023. [PUMA: imported topic_earthenvironment]