• Current models underestimate future irrigated areas 

      Saltelli, Andrea; Puy, Arnald; Lo Piano, Samuele (Journal article; Peer reviewed, 2020)
      Predictions of global irrigated areas are widely used to guide strategies that aim to secure environmental welfare and manage climate change. Here we show that these predictions, which range between 240 and 450 million ...
    • The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support 

      Razavi, Saman; Jakeman, Anthony; Saltelli, Andrea; Prieur, Clémentine; Iooss, Bertrand; Borgonovo, Emanuele; Plischke, Elmar; Lo Piano, Samuele; Iwanaga, Takuya; Becker, William; Tarantola, Stefano; Guillaume, Joseph H.A.; Jakeman, John; Gupta, Hoshin; Melillo, Nicola; Rabitti, Giovanni; Chabridon, Vincent; Duan, Qingyun; Sun, Xifu; Smith, Stefán; Sheikholeslami, Razi; Hosseini, Nasim; Asadzadeh, Masoud; Puy, Arnald; Kucherenko, Sergei; Maier, Holger R. (Journal article; Peer reviewed, 2021)
      Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling. The tremendous potential benefits of SA are, however, yet to be fully realized, both for advancing mechanistic and data-driven ...
    • A sensitivity analysis of the PAWN sensitivity index 

      Puy, Arnald; Lo Piano, Samuele; Saltelli, Andrea (Journal article; Peer reviewed, 2020)
      The PAWN index is gaining traction among the modelling community as a sensitivity measure. However, the robustness to its design parameters has not yet been scrutinized: the size (𝑁) and sampling (𝜀) of the model output, ...