Editor(s): Vitor Silva, Caroline M. Gevaert, David Lallemant, Sabine Loos, and Philip Ward
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12 May 2023
Reduced-order digital twin and latent data assimilation for global wildfire prediction
Nat. Hazards Earth Syst. Sci., 23, 1755–1768,
2023 03 May 2023
Probabilistic and machine learning methods for uncertainty quantification in power outage prediction due to extreme events
Nat. Hazards Earth Syst. Sci., 23, 1665–1683,
2023 22 Mar 2023
Development of a seismic loss prediction model for residential buildings using machine learning – Ōtautahi / Christchurch, New Zealand
Nat. Hazards Earth Syst. Sci., 23, 1207–1226,
2023 01 Dec 2022
Comparison of machine learning techniques for reservoir outflow forecasting
Nat. Hazards Earth Syst. Sci., 22, 3859–3874,
2022 22 Nov 2022
Landsifier v1.0: a Python library to estimate likely triggers of mapped landslides
Nat. Hazards Earth Syst. Sci., 22, 3751–3764,
2022 28 Oct 2022
Review article: Current State of Deep Learning Application to Water-related Disaster Management in Developing Countries
Nat. Hazards Earth Syst. Sci. Discuss.,
2022Preprint under review for NHESS (discussion: open, 2 comments)
24 Oct 2022
What weather variables are important for wet and slab avalanches under a changing climate in a low-altitude mountain range in Czechia?
Nat. Hazards Earth Syst. Sci., 22, 3501–3525,
2022 04 Oct 2022
Machine learning nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy
EGUsphere,
2022Revised manuscript under review for NHESS (discussion: final response, 5 comments)
16 Sep 2022
Machine learning models to predict myocardial infarctions from past climatic and environmental conditions
Nat. Hazards Earth Syst. Sci., 22, 3015–3039,
2022 20 Jul 2022
Using machine learning algorithms to identify predictors of social vulnerability in the event of an earthquake: Istanbul case study
Nat. Hazards Earth Syst. Sci. Discuss.,
2022Revised manuscript accepted for NHESS (discussion: closed, 4 comments)