Temporal stability of soil moisture profile

Starks, Patrick J.; Heathman, Gary C.; Jackson, Thomas J.; Cosh, Michael H.

doi:10.1016/j.jhydrol.2005.09.024

Cited by 131 publications

(93 citation statements)

References 24 publications

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“…The impact of bias on standard objective metrics was a focus of temporal stability analysis (Vachaud et al, 1985;Martinez-Fernandez and Ceballos, 2005). Sites with little variation in bias yielded more robust comparisons with remote sensing data (Starks et al, 2006), which is a result that was confirmed in this study across four distinct in situ soil moisture networks and satellite products.…”

Section: Discussionsupporting

confidence: 72%

Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS

Tobin

Torres

Crow

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. This study applied the exponential filter to produce an estimate of root-zone soil moisture (RZSM). Four types of microwave-based, surface satellite soil moisture were used. The core remotely sensed data for this study came from NASA's long-lasting AMSR-E mission. Additionally, three other products were obtained from the European Space Agency Climate Change Initiative (CCI). These datasets were blended based on all available satellite observations (CCI-active, CCI-passive, and CCI-combined). All of these products were 0.25 • and taken daily. We applied the filter to produce a soil moisture index (SWI) that others have successfully used to estimate RZSM. The only unknown in this approach was the characteristic time of soil moisture variation (T ). We examined five different eras (1997-2002; 2002-2005; 2005-2008; 2008-2011; 2011-2014) that represented periods with different satellite data sensors. SWI values were compared with in situ soil moisture data from the International Soil Moisture Network at a depth ranging from 20 to 25 cm. Selected networks included the US Department of Energy Atmospheric Radiation Measurement (ARM) program (25 cm), Soil Climate Analysis Network (SCAN; 20.32 cm), SNOwpack TELemetry (SNOTEL; 20.32 cm), and the US Climate Reference Network (USCRN; 20 cm). We selected in situ stations that had reasonable completeness. These datasets were used to filter out periods with freezing temperatures and rainfall using data from the Parameter elevation Regression on Independent Slopes Model (PRISM). Additionally, we only examined sites where surface and root-zone soil moisture had a reasonably high lagged r value (r > 0.5).The unknown T value was constrained based on two approaches: optimization of root mean square error (RMSE) and calculation based on the normalized difference vegetation index (NDVI) value. Both approaches yielded comparable results; although, as to be expected, the optimization approach generally outperformed NDVI-based estimates. The best results were noted at stations that had an absolute bias within 10 %. SWI estimates were more impacted by the in situ network than the surface satellite product used to drive the exponential filter. The average Nash-Sutcliffe coefficients (NSs) for ARM ranged from −0.1 to 0.3 and were similar to the results obtained from the USCRN network (0.2-0.3). NS values from the SCAN and SNOTEL networks were slightly higher (0.1-0.5). These results indicated that this approach had some skill in providing an estimate of RZSM. In terms of RMSE (in volumetric soil moisture), ARM values actually outperformed those from other networks (0.02-0.04). SCAN and USCRN RMSE average values ranged from 0.04 to 0.06 and SNOTEL average RMSE values were higher (0.05-0.07). These values were close to 0.04, which is the baseline value for accuracy designated for many satellite soil moisture missions.

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Section: Discussionsupporting

confidence: 72%

Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS

Tobin

Torres

Crow

et al. 2017

Hydrol. Earth Syst. Sci.

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“…The analysis of Spearman's rank correlations is a different method from the analysis of SDRD or MABE, but these methods have identified similar trends of temporal stability. Increasing temporal stability with depth is mainly due to a decrease in the dependence of SWC on climatic, biological, and hydrological factors with increasing depth (Hupet and Vanclooster, 2002;Starks et al, 2006;Gao and Shao, 2012a) such as rainfall, root Fig. 6.…”

Section: Temporal Stability Of Swc At Individual Locationsmentioning

confidence: 99%

“…8a), indicating the lack of dependence on depth. Locations with an SDRD and/or MABE under 5% are considered to be temporally stable (Starks et al, 2006;Hu et al, 2010a). The number of temporally stable locations increased with depth (Fig.…”

Section: Temporal Stability Of Swc At Individual Locationsmentioning

confidence: 99%

Profile distribution of soil–water content and its temporal stability along a 1340-m long transect on the Loess Plateau, China

Shao

Jia

et al. 2016

CATENA

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Information on the profile characteristics of soil-water content (SWC) and its temporal stability is essential for an accurate understanding of hydrological processes. This study investigated changes of spatial variation and temporal stability of SWC in soil profiles and estimated mean SWC based on direct and indirect methods. SWCs were measured at 20-cm intervals in the soil profiles to a depth of 3 m using neutron probes at 135 locations along a 1340-m long transect on 18 sampling dates from 2012 to 2013 on the Loess Plateau in China. The coefficient of variation over space (CV S ) of SWC first decreased and then increased vertically. The coefficient of variation over time (CV T ) of SWC decreased along the soil profiles. The spatial patterns of SWC strongly persisted vertically and temporally. Mean Spearman's rank correlation coefficients decreased from a depth of 10 to a depth of 20 cm, fluctuated from 20 to 180 cm, and then increased below 200 cm. Temporal stability increased along the soil profiles based on the standard deviation of mean relative difference (SDRD) and the mean absolute bias error (MABE). The number of locations with an SDRD and/or MABE b 5% increased along the soil profile, and the number of locations with a mean relative difference within ±5% and/or representative locations were variably dependent on depth. Both direct and indirect methods could accurately estimate the mean SWC for each depth based on the mean absolute relative errors and root mean square errors. The driest and wettest locations tended to remain representative for more depths than did locations with mean-moistures. The driest locations were more likely to be the most temporally stable. These findings should improve our understanding of soil-water dynamics in soil profiles.

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“…Apesar de vários autores utilizarem a técnica de estabilidade temporal, sua comparação não é adequada devido à diversidade das condições das regiões analisadas, como a extensão da área, o plano de amostragem, a profundidade monitorada e o período de monitoramento (Fernandez & Ceballos, 2003;Tallon & Si, 2003;Thierdefelder et al, 2003;Cosh et al, 2004;Fernandez & Ceballos, 2005;Pachepsky et al, 2005;Bosch et al, 2006;Starks et al, 2006;Teuling et al, 2006). Além disso, a persistência temporal do padrão do conteúdo de água no solo pode ser influenciada pela vegetação, pelas propriedades do solo, pelas condições climáticas e pela topografia (Schneider et al, 2008).…”

Section: Introductionunclassified

Estabilidade temporal do conteúdo de água em três condições de uso do solo, em uma bacia hidrográfica da região da Serra da Mantiqueira, MG

Ávila

Mello²,

Silva³

2010

Rev. Bras. Ciênc. Solo

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RESUMOA descrição de processos hidrológicos é relativamente complexa, principalmente da variação do conteúdo de água no solo, devido à influência de fatores edáficos, topográficos, climáticos e de vegetação. Em condições de campo, a estimativa do conteúdo de água no solo requer um plano de amostragem adequado, considerando as variações no tempo e no espaço. Visando representar adequadamente o conteúdo de água no solo com reduzido esforço amostral e custo, o conceito de estabilidade temporal tem sido muitas vezes empregado. Este estudo foi realizado com o objetivo de analisar a estabilidade temporal do conteúdo de água na camada superficial do solo (0-0,20 m de profundidade), sob diferentes usos do solo, em uma bacia hidrográfica experimental da região da Serra da Mantiqueira, Minas Gerais, nos períodos de estiagem e chuvoso, estimando os pontos mais representativos para essa determinação. Houve maior estabilidade temporal do conteúdo de água no solo na área de vegetação de várzea, menor na área ocupada por Mata Atlântica e intermediária na área de pastagem. Ocorreram, também, variações significativas da diferença relativa média entre os períodos de medição, concluindo-se que as características de cada área devem ser consideradas particularmente para escolha dos pontos. Na área de pastagem, foi possível identificar apenas um ponto para monitoramento tanto para o período chuvoso como para o de estiagem. Por outro lado, nas áreas de Mata Atlântica e vegetação de várzea foram identificados dois pontos, sendo um especificamente para o período chuvoso e outro para o período de estiagem, sendo recomendada uma análise individual específica para cada estação.Termos de indexação: variabilidade temporal, monitoramento de bacias hidrográficas, diferença relativa.(1) Recebido para publicação em maio de 2009 e aprovado em setembro de 2010.

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Temporal stability of soil moisture profile

Cited by 131 publications

References 24 publications

Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS

Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS

Profile distribution of soil–water content and its temporal stability along a 1340-m long transect on the Loess Plateau, China

Estabilidade temporal do conteúdo de água em três condições de uso do solo, em uma bacia hidrográfica da região da Serra da Mantiqueira, MG

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