Reply on RC1 DOI Creative Commons

Philippe Ackerer

Опубликована: Июнь 18, 2024

Abstract. We focus on the way temporal distributions of key components water cycle are influenced by typically uncertain parameters embedded in a Land Surface Model. rest joint analysis multiple global sensitivity metrics to provide comprehensive assessment ranking relative importance factors various origins hydrological system response. The latter is rendered terms dynamics transpiration, evaporation, and groundwater recharge. NIHM (Normally Integrated Hydrological Model) modular model applied simulate realistic field conditions (in of, e.g., climate, vegetation, soil type) associated with two watersheds Vosges region (France) across one-year period. These characterized similar climatic while being differing types vegetation. Uncertain we consider comprise monthly values albedo leaf area index, vegetation-related parameters, as well related litter layer root zone. Four diverse indices used quantify impacts whole probability distribution or given statistical moments density function outputs. Our results document that strength depends moment considered. Evaporation directly energy flow through canopy top layer. As one could expect, transpiration appears mainly vegetation characteristics influences incoming radiation. Groundwater recharge only very limited number parameters. It soil-related unexpectedly not sensible any considered, except thickness intercept.

Язык: Английский

Comparative Assessment of Two Global Sensitivity Approaches Considering Model and Parameter Uncertainty DOI Creative Commons
Heng Dai, Yujiao Liu, Alberto Guadagnini

и другие.

Water Resources Research, Год журнала: 2024, Номер 60(2)

Опубликована: Фев. 1, 2024

Abstract Global Sensitivity Analysis (GSA) is key to assisting appraisal of the behavior hydrological systems through model diagnosis considering multiple sources uncertainty. Uncertainty typically comprise incomplete knowledge in (a) conceptual and mathematical formulation models (b) parameters embedded models. In this context, there need for detailed investigations aimed at a robust quantification importance parameter uncertainties rigorous multi‐model context. This study aims evaluating comparing two modern GSA methodologies. These are first approaches embedding both uncertainty encompass variance‐based framework based on Sobol indices (as derived by Dai & Ye, 2015, https://doi.org/10.1016/j.jhydrol.2015.06.034 ) moment‐based approach upon which AMA Dell'Oca et al., 2020, https://doi.org/10.1029/2019wr025754 based. We provide an assessment various aspects sensitivity joint analysis these Our work relies well‐established scenarios that synthetic setting related reactive transport across groundwater system experimentally‐based heavy metal sorption onto soil. documents use can different while complementary information assess mutual consistency enrich content provided under While being settings, our results be considered as reference future studies coping with

Язык: Английский

Процитировано

37
A two-step Bayesian network-based process sensitivity analysis for complex nitrogen reactive transport modeling DOI
Heng Dai,

Jiali Ju,

Dongwei GUI

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 632, С. 130903 - 130903

Опубликована: Фев. 15, 2024

Язык: Английский

Процитировано

22
Global sensitivity analysis of mass transfer and reaction dynamics for electrokinetic transport in porous media DOI Creative Commons
Riccardo Sprocati, Alberto Guadagnini, Laura Ceresa

и другие.

Advances in Water Resources, Год журнала: 2025, Номер unknown, С. 104887 - 104887

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
Relative Importance of Uncertain Model Parameters Driving Water Fluxes in a Land Surface Model DOI

Aronne Dell apos Oca,

David Luttenauer,

Alberto Guadagnini

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
In-silico mechanistic analysis of adsorption of Iodinated Contrast Media agents on graphene surface DOI Creative Commons

Ashfeen Ubaid Khan,

Giovanni Porta, Mònica Riva

и другие.

Ecotoxicology and Environmental Safety, Год журнала: 2024, Номер 280, С. 116506 - 116506

Опубликована: Июнь 14, 2024

The study aims at assessing the potential of graphene-based adsorbents to reduce environmental impacts Iodinated Contrast Media Agents (ICMs). We analyze an extensive collection ICMs. A modeling approach resting on molecular docking and Density Functional Theory simulations is employed examine adsorption process level. also relies a Quantitative Structure-Activity Relationship (QSAR) framework correlate properties with energy (E

Язык: Английский

Процитировано

1
Relative importance of uncertain model parameters driving water fluxes in a Land Surface Model DOI Creative Commons

David Luttenauer,

Aronne Dell’Oca, Alberto Guadagnini

и другие.

Опубликована: Апрель 4, 2024

Abstract. We focus on the way temporal distributions of key components water cycle are influenced by typically uncertain parameters embedded in a Land Surface Model. rest joint analysis multiple global sensitivity metrics to provide comprehensive assessment ranking relative importance factors various origins hydrological system response. The latter is rendered terms dynamics transpiration, evaporation, and groundwater recharge. NIHM (Normally Integrated Hydrological Model) modular model applied simulate realistic field conditions (in of, e.g., climate, vegetation, soil type) associated with two watersheds Vosges region (France) across one-year period. These characterized similar climatic while being differing types vegetation. Uncertain we consider comprise monthly values albedo leaf area index, vegetation-related parameters, as well related litter layer root zone. Four diverse indices used quantify impacts whole probability distribution or given statistical moments density function outputs. Our results document that strength depends moment considered. Evaporation directly energy flow through canopy top layer. As one could expect, transpiration appears mainly vegetation characteristics influences incoming radiation. Groundwater recharge only very limited number parameters. It soil-related unexpectedly not sensible any considered, except thickness intercept.

Язык: Английский

Процитировано

0
Comment on hess-2024-73 DOI Creative Commons

David Luttenauer,

Aronne Dell’Oca, Alberto Guadagnini

и другие.

Опубликована: Май 8, 2024

Abstract. We focus on the way temporal distributions of key components water cycle are influenced by typically uncertain parameters embedded in a Land Surface Model. rest joint analysis multiple global sensitivity metrics to provide comprehensive assessment ranking relative importance factors various origins hydrological system response. The latter is rendered terms dynamics transpiration, evaporation, and groundwater recharge. NIHM (Normally Integrated Hydrological Model) modular model applied simulate realistic field conditions (in of, e.g., climate, vegetation, soil type) associated with two watersheds Vosges region (France) across one-year period. These characterized similar climatic while being differing types vegetation. Uncertain we consider comprise monthly values albedo leaf area index, vegetation-related parameters, as well related litter layer root zone. Four diverse indices used quantify impacts whole probability distribution or given statistical moments density function outputs. Our results document that strength depends moment considered. Evaporation directly energy flow through canopy top layer. As one could expect, transpiration appears mainly vegetation characteristics influences incoming radiation. Groundwater recharge only very limited number parameters. It soil-related unexpectedly not sensible any considered, except thickness intercept.

Язык: Английский

Процитировано

0
Comment on hess-2024-73 DOI Creative Commons

David Luttenauer,

Aronne Dell’Oca, Alberto Guadagnini

и другие.

Опубликована: Май 10, 2024

Abstract. We focus on the way temporal distributions of key components water cycle are influenced by typically uncertain parameters embedded in a Land Surface Model. rest joint analysis multiple global sensitivity metrics to provide comprehensive assessment ranking relative importance factors various origins hydrological system response. The latter is rendered terms dynamics transpiration, evaporation, and groundwater recharge. NIHM (Normally Integrated Hydrological Model) modular model applied simulate realistic field conditions (in of, e.g., climate, vegetation, soil type) associated with two watersheds Vosges region (France) across one-year period. These characterized similar climatic while being differing types vegetation. Uncertain we consider comprise monthly values albedo leaf area index, vegetation-related parameters, as well related litter layer root zone. Four diverse indices used quantify impacts whole probability distribution or given statistical moments density function outputs. Our results document that strength depends moment considered. Evaporation directly energy flow through canopy top layer. As one could expect, transpiration appears mainly vegetation characteristics influences incoming radiation. Groundwater recharge only very limited number parameters. It soil-related unexpectedly not sensible any considered, except thickness intercept.

Язык: Английский

Процитировано

0
Reply on RC2 DOI Creative Commons

Philippe Ackerer

Опубликована: Июнь 18, 2024

Abstract. We focus on the way temporal distributions of key components water cycle are influenced by typically uncertain parameters embedded in a Land Surface Model. rest joint analysis multiple global sensitivity metrics to provide comprehensive assessment ranking relative importance factors various origins hydrological system response. The latter is rendered terms dynamics transpiration, evaporation, and groundwater recharge. NIHM (Normally Integrated Hydrological Model) modular model applied simulate realistic field conditions (in of, e.g., climate, vegetation, soil type) associated with two watersheds Vosges region (France) across one-year period. These characterized similar climatic while being differing types vegetation. Uncertain we consider comprise monthly values albedo leaf area index, vegetation-related parameters, as well related litter layer root zone. Four diverse indices used quantify impacts whole probability distribution or given statistical moments density function outputs. Our results document that strength depends moment considered. Evaporation directly energy flow through canopy top layer. As one could expect, transpiration appears mainly vegetation characteristics influences incoming radiation. Groundwater recharge only very limited number parameters. It soil-related unexpectedly not sensible any considered, except thickness intercept.

Язык: Английский

Процитировано

0
Reply on RC1 DOI Creative Commons

Philippe Ackerer

Опубликована: Июнь 18, 2024

Abstract. We focus on the way temporal distributions of key components water cycle are influenced by typically uncertain parameters embedded in a Land Surface Model. rest joint analysis multiple global sensitivity metrics to provide comprehensive assessment ranking relative importance factors various origins hydrological system response. The latter is rendered terms dynamics transpiration, evaporation, and groundwater recharge. NIHM (Normally Integrated Hydrological Model) modular model applied simulate realistic field conditions (in of, e.g., climate, vegetation, soil type) associated with two watersheds Vosges region (France) across one-year period. These characterized similar climatic while being differing types vegetation. Uncertain we consider comprise monthly values albedo leaf area index, vegetation-related parameters, as well related litter layer root zone. Four diverse indices used quantify impacts whole probability distribution or given statistical moments density function outputs. Our results document that strength depends moment considered. Evaporation directly energy flow through canopy top layer. As one could expect, transpiration appears mainly vegetation characteristics influences incoming radiation. Groundwater recharge only very limited number parameters. It soil-related unexpectedly not sensible any considered, except thickness intercept.

Язык: Английский

Процитировано

0