| Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response MS Bartlett, AJ Parolari, JJ McDonnell, A Porporato Water Resources Research 52 (6), 4608-4627, 2016 | 97 | 2016 |
| Unified representation of the C3, C4, and CAM photosynthetic pathways with the Photo3 model S Hartzell, MS Bartlett, A Porporato Ecological Modelling 384, 173-187, 2018 | 49 | 2018 |
| Coupled carbon and water fluxes in CAM photosynthesis: modeling quantification of water use efficiency and productivity MS Bartlett, G Vico, A Porporato Plant and Soil 383, 111-138, 2014 | 47 | 2014 |
| The role of plant water storage and hydraulic strategies in relation to soil moisture availability S Hartzell, MS Bartlett, A Porporato Plant and Soil 419, 503-521, 2017 | 36 | 2017 |
| Nonlinear dynamics of the CAM circadian rhythm in response to environmental forcing S Hartzell, MS Bartlett, L Virgin, A Porporato Journal of theoretical biology 368, 83-94, 2015 | 32 | 2015 |
| A Class of Exact Solutions of the Boussinesq Equation for Horizontal and Sloping Aquifers MS Bartlett, A Porporato Water Resources Research 54 (2), 767-778, 2018 | 31 | 2018 |
| Stochastic rainfall-runoff model with explicit soil moisture dynamics MS Bartlett, E Daly, JJ McDonnell, AJ Parolari, A Porporato Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015 | 26 | 2015 |
| Stochastic water balance dynamics of passive and controlled stormwater basins AJ Parolari, S Pelrine, MS Bartlett Advances in water resources 122, 328-339, 2018 | 24 | 2018 |
| Framework for event‐based semidistributed modeling that unifies the SCS‐CN method, VIC, PDM, and TOPMODEL MS Bartlett, AJ Parolari, JJ McDonnell, A Porporato Water Resources Research 52 (9), 7036-7052, 2016 | 22 | 2016 |
| The competitive advantage of a constitutive CAM species over a C4 grass species under drought and CO2 enrichment K Yu, P D'Odorico, SL Collins, D Carr, A Porporato, WRL Anderegg, ... Ecosphere 10 (5), e02721, 2019 | 19 | 2019 |
| Modelling nonlinear dynamics of Crassulacean acid metabolism productivity and water use for global predictions S Hartzell, MS Bartlett, P Inglese, S Consoli, J Yin, A Porporato Plant, Cell & Environment 44 (1), 34-48, 2021 | 10 | 2021 |
| State-dependent jump processes: Itô-Stratonovich interpretations, potential, and transient solutions MS Bartlett, A Porporato Physical Review E 98 (5), 052132, 2018 | 8 | 2018 |
| Reply to comment by Fred L. Ogden et al. on “Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response” MS Bartlett, AJ Parolari, JJ McDonnell, A Porporato Water Resources Research 53 (7), 6351-6354, 2017 | 5 | 2017 |
| Elliptically symmetric distributions of elevation gradients and the distribution of topographic aspect MS Bartlett, G Vico, A Porporato Mathematical Geosciences 45, 819-835, 2013 | 4 | 2013 |
| Jump processes with deterministic and stochastic controls MS Bartlett, A Porporato, L Rondoni Physical Review E 100 (4), 042133, 2019 | 2 | 2019 |
| Similarities in the evolution of plants and cars S Hartzell, M Bartlett, J Yin, A Porporato Plos one 13 (6), e0198044, 2018 | 2 | 2018 |
| Pi theorem formulation of flood mapping MS Bartlett, J Van Blitterswyk, M Farella, J Li, C Smith, A Mrad arXiv preprint arXiv:2211.00636, 2022 | 1 | 2022 |
| A mean field approach to the watershed response under stochastic seasonal forcing MS Bartlett Jr, I Rodriguez-Iturbe, AM Porporato AGU Fall Meeting Abstracts 2016, H52A-06, 2016 | 1 | 2016 |
| Application of machine learning at wastewater treatment facilities: a review of the science, challenges and barriers by level of implementation S Imen, HC Croll, NL McLellan, M Bartlett, G Lehman, JG Jacangelo Environmental Technology Reviews 12 (1), 493-516, 2023 | | 2023 |
| Large-scale flood inundation mapping powered by deep learning: operational framework and validation M Farella, J Van Blitterswyk, C Smith, J Li, MS Bartlett, A Mrad AGU23, 2023 | | 2023 |
Amilcare PorporatoPrinceton UniversityVerified email at princeton.edu
