Comment on egusphere-2024-1256 DOI Creative Commons
Mohammad Ali Farmani, Ali Behrangi, Aniket Gupta

et al.

Published: June 21, 2024

Abstract. Soil moisture memory (SMM), which refers to how long a perturbation in Moisture (SM) can last, is critical for understanding climatic, hydrologic, and ecosystem interactions. Most land surface models (LSMs) tend overestimate soil its persistency, sustaining unexpectedly large evaporation. In general, LSMs show an overestimation of long-term SMM underestimation short-term SMM. This study aims 1) identify key hydrological/hydraulic processes that contribute the amount persistence SM 2) improve physical representations hydrology widely-used Noah-MP LSM with optional schemes hydrology/hydraulics. We test effects different on SMM, including water retention characteristics (or hydraulics), permeability, ponding. compare SMMs computed from various configurations against derived Active Passive (SMAP) Level 3 in-situ measurements International Network (ISMN) year 2015 2019 over contiguous United States (CONUS). The results suggest hydraulics plays dominant role, Van-Genuchten hydraulic scheme reduces produced by Brooks-Corey scheme, commonly used LSMs; explicitly representing ponding improves accuracy both layer root zone; 3) enhanced permeability through macropores overall representation dynamics. combination introduced this significantly issues LSMs.

Language: Английский

Do land models miss key soil hydrological processes controlling soil moisture memory? DOI Creative Commons
Mohammad Ali Farmani, Ali Behrangi, Aniket Gupta

et al.

Hydrology and earth system sciences, Journal Year: 2025, Volume and Issue: 29(2), P. 547 - 566

Published: Jan. 29, 2025

Abstract. Soil moisture memory (SMM), which refers to how long a perturbation in soil (SM) can last, is critical for understanding climatic, hydrological, and ecosystem interactions. Most land surface models (LSMs) tend overestimate its persistency (or SMM), sustaining spuriously large evaporation during dry-down periods. We attempt answer question: do LSMs miss or misrepresent key hydrological processes controlling SMM? use version of Noah-MP with advanced hydrology that explicitly represents preferential flow ponding provides optional schemes hydraulics. test the effects these processes, are generally missed by most SMM. compare SMMs computed from various configurations against derived Moisture Active Passive (SMAP) L3 situ measurements International Network (ISMN) years 2015 2019 over contiguous United States (CONUS). The results suggest (1) hydraulics plays dominant role Van Genuchten hydraulic scheme reduces overestimation long-term SMM produced Brooks–Corey scheme, commonly used LSMs; (2) representing enhances both layer root zone; (3) improves overall representation dynamics. combination missing significantly improve short-term underestimation issues LSMs. seasonal-to-subseasonal climate prediction should, at least, adopt scheme.

Language: Английский

Citations

0
Online fatigue life prediction method of jacket structures based on proper orthogonal decomposition and rainflow counting algorithm DOI
Jiancheng Leng, Lei Zhao,

Houbin Mao

et al.

Structures, Journal Year: 2025, Volume and Issue: 74, P. 108517 - 108517

Published: Feb. 23, 2025

Language: Английский

Citations

0
Improved evapotranspiration estimation using the Penman-Monteith equation with a deep learning (DNN) model over the dry southwestern US: Comparison with ECOSTRESS, MODIS, and OpenET DOI
Muhammad Jawad, Ali Behrangi, Mohammad Ali Farmani

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133460 - 133460

Published: May 1, 2025

Language: Английский

Citations

0
What Are the Key Soil Hydrological Processes to Control Soil Moisture Memory? DOI Creative Commons
Mohammad Ali Farmani, Ali Behrangi, Aniket Gupta

et al.

Published: May 17, 2024

Abstract. Soil moisture memory (SMM), which refers to how long a perturbation in Moisture (SM) can last, is critical for understanding climatic, hydrologic, and ecosystem interactions. Most land surface models (LSMs) tend overestimate soil its persistency, sustaining unexpectedly large evaporation. In general, LSMs show an overestimation of long-term SMM underestimation short-term SMM. This study aims 1) identify key hydrological/hydraulic processes that contribute the amount persistence SM 2) improve physical representations hydrology widely-used Noah-MP LSM with optional schemes hydrology/hydraulics. We test effects different on SMM, including water retention characteristics (or hydraulics), permeability, ponding. compare SMMs computed from various configurations against derived Active Passive (SMAP) Level 3 in-situ measurements International Network (ISMN) year 2015 2019 over contiguous United States (CONUS). The results suggest hydraulics plays dominant role, Van-Genuchten hydraulic scheme reduces produced by Brooks-Corey scheme, commonly used LSMs; explicitly representing ponding improves accuracy both layer root zone; 3) enhanced permeability through macropores overall representation dynamics. combination introduced this significantly issues LSMs.

Language: Английский

Citations

1
Comment on “What Are the Key Soil Hydrological Processes to Control Soil Moisture Memory?” by Farmani et al. (2024) DOI Creative Commons
Mohammad Ali Farmani, Ali Behrangi, Aniket Gupta

et al.

Published: May 23, 2024

Abstract. Soil moisture memory (SMM), which refers to how long a perturbation in Moisture (SM) can last, is critical for understanding climatic, hydrologic, and ecosystem interactions. Most land surface models (LSMs) tend overestimate soil its persistency, sustaining unexpectedly large evaporation. In general, LSMs show an overestimation of long-term SMM underestimation short-term SMM. This study aims 1) identify key hydrological/hydraulic processes that contribute the amount persistence SM 2) improve physical representations hydrology widely-used Noah-MP LSM with optional schemes hydrology/hydraulics. We test effects different on SMM, including water retention characteristics (or hydraulics), permeability, ponding. compare SMMs computed from various configurations against derived Active Passive (SMAP) Level 3 in-situ measurements International Network (ISMN) year 2015 2019 over contiguous United States (CONUS). The results suggest hydraulics plays dominant role, Van-Genuchten hydraulic scheme reduces produced by Brooks-Corey scheme, commonly used LSMs; explicitly representing ponding improves accuracy both layer root zone; 3) enhanced permeability through macropores overall representation dynamics. combination introduced this significantly issues LSMs.

Language: Английский

Citations

0
Comment on egusphere-2024-1256 DOI Creative Commons
Mohammad Ali Farmani, Ali Behrangi, Aniket Gupta

et al.

Published: June 21, 2024

Abstract. Soil moisture memory (SMM), which refers to how long a perturbation in Moisture (SM) can last, is critical for understanding climatic, hydrologic, and ecosystem interactions. Most land surface models (LSMs) tend overestimate soil its persistency, sustaining unexpectedly large evaporation. In general, LSMs show an overestimation of long-term SMM underestimation short-term SMM. This study aims 1) identify key hydrological/hydraulic processes that contribute the amount persistence SM 2) improve physical representations hydrology widely-used Noah-MP LSM with optional schemes hydrology/hydraulics. We test effects different on SMM, including water retention characteristics (or hydraulics), permeability, ponding. compare SMMs computed from various configurations against derived Active Passive (SMAP) Level 3 in-situ measurements International Network (ISMN) year 2015 2019 over contiguous United States (CONUS). The results suggest hydraulics plays dominant role, Van-Genuchten hydraulic scheme reduces produced by Brooks-Corey scheme, commonly used LSMs; explicitly representing ponding improves accuracy both layer root zone; 3) enhanced permeability through macropores overall representation dynamics. combination introduced this significantly issues LSMs.

Language: Английский

Citations

0