Blar i Bergen Open Research Archive på forfatter "Maeso, Arnald Puy"
-
The Challenge of Quantification: An Interdisciplinary Reading
Di Fiore, Monica; Kuc-Czarnecka, Marta; Lo Piano, Samuele; Maeso, Arnald Puy; Saltelli, Andrea (Journal article; Peer reviewed, 2022)The present work looks at what we call “the multiverse of quantification”, where visible and invisible numbers permeate all aspects and venues of life. We review the contributions of different authors who focus on the roles ... -
Improving the reliability of cohesion policy databases
Piano, Samuele Lo; Borgonovo, Emanuele; Maeso, Arnald Puy; Saltelli, Andrea; Walsh, John; Vidoni, Daniele (Journal article; Peer reviewed, 2022)In this contribution, we present an innovative data-driven model to reconstruct a reliable temporal pattern for time-lagged statistical monetary figures. Our research cuts across several domains regarding the production ... -
Irrigated areas drive irrigation water withdrawals
Maeso, Arnald Puy; Borgonovo, Emanuele; Lo Piano, Samuele; Levin, Simon A.; Saltelli, Andrea (Journal article; Peer reviewed, 2021)A sustainable management of global freshwater resources requires reliable estimates of the water demanded by irrigated agriculture. This has been attempted by the Food and Agriculture Organization (FAO) through country ... -
Is VARS more intuitive and efficient than Sobol’ indices?
Maeso, Arnald Puy; Lo Piano, Samuele; Saltelli, Andrea (Journal article; Peer reviewed, 2021)The Variogram Analysis of Response Surfaces (VARS) has been proposed by Razavi and Gupta as a new comprehensive framework in sensitivity analysis. According to these authors, VARS provides a more intuitive notion of ... -
Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies
Maeso, Arnald Puy; Lankford, Bruce; Meier, Jonas; Van Der Kooij, Saskia; Saltelli, Andrea (Journal article; Peer reviewed, 2022)An assessment of the human impact on the global water cycle requires estimating the volume of water withdrawn for irrigated agriculture. A key parameter in this calculation is the irrigation efficiency, which corrects for ... -
Models with higher effective dimensions tend to produce more uncertain estimates
Maeso, Arnald Puy; Beneventano, Pierfrancesco; Levin, Simon A.; Lo Piano, Samuele; Portaluri, Tommaso; Saltelli, Andrea (Journal article; Peer reviewed, 2022)Mathematical models are getting increasingly detailed to better predict phenomena or gain more accurate insights into the dynamics of a system of interest, even when there are no validation or training data available. Here, ... -
Unpacking the modelling process via sensitivity auditing
Lo Piano, Samuele; Sheikholeslami, Razi; Maeso, Arnald Puy; Saltelli, Andrea (Journal article; Peer reviewed, 2022)Acknowledging the conditionality of model-based evidence facilitates the dialogue between model developers and model users, especially when models are used to guide decisions at the science-policy interface. In general, ...