2026-05-25T12:11:01Zhttp://doidb.wdc-terra.org/oaip/oai

oai:doidb.wdc-terra.org:85372025-08-15T09:48:30ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.4.4.2023.002 Rafiezadeh Shahi, Kasra Kasra Rafiezadeh Shahi 0000-0003-3666-4223 GFZ German Research Centre for Geosciences, Potsdam, Germany Sairam, Nivedita Nivedita Sairam 0000-0003-4611-9894 GFZ German Research Centre for Geosciences, Potsdam, Germany Schoppa, Lukas Lukas Schoppa 0000-0002-3443-4603 GFZ German Research Centre for Geosciences, Potsdam, Germany Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany Thanh Sang, Le Le Thanh Sang Southern Institute of Social Sciences, Ho Chi Minh city, Vietnam Ly Hoai Tan, Do Do Ly Hoai Tan Southern Institute of Social Sciences, Ho Chi Minh city, Vietnam Kreibich, Heidi Heidi Kreibich 0000-0001-6274-3625 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2025 Bayesian Network flood loss estimation model EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > FLOODS EARTH SCIENCE SERVICES > MODELS Rafiezadeh Shahi, Kasra GFZ German Research Centre for Geosciences, Potsdam, Germany Model DOI of paper when available CC BY 4.0 We construct a precomputed lookup table to predict flood loss to private households based on predictor variables from a Bayesian Network model (BN-FLEMO∆). BN-FLEMO∆ is a probabilistic model that provides multinomial probability distributions of relative building loss (i.e. absolute building loss/building value) in discrete classes. More information on the development of BN-FLEMO∆ can be found in Rafiezadeh Shahi et al. (2025).

The zip folder contains the precomputed lookup table, where all possible combinations of predictor and response values are stored. The lookup table contains an ID for each unique combination of possible predictor and response (i.e., relative loss) values. The file name is coded as “2023-002_Rafiezadeh Shahi-et-al_lookup.csv”.