Deriving pedotransfer functions for soil quartz fraction in southern France from reverse modeling

Calvet, Jean‐Christophe; Fritz, N.; Berne, Christine; Piguet, Bruno; Maurel, William; Meurey, Catherine

doi:10.5194/soil-2-615-2016

Cited by 32 publications

(20 citation statements)

References 33 publications

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“…Information on soil texture (in all cases, and in some cases quartz content, see also Calvet et al, ), and organic matter (in most models) is required to calculate key parameters in the equations that describe soil thermal properties as a function of soil moisture content or relative saturation. Although these are not traditionally referred to as pedotransfer functions they can definitely be viewed as such.…”

Section: Ptfs In Earth System Sciencesmentioning

confidence: 99%

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Looy

Bouma

Herbst

et al. 2017

Reviews of Geophysics

397

297

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Soil, through its various functions, plays a vital role in the Earth's ecosystems and provides multiple ecosystem services to humanity. Pedotransfer functions (PTFs) are simple to complex knowledge rules that relate available soil information to soil properties and variables that are needed to parameterize soil processes. In this paper, we review the existing PTFs and document the new generation of PTFs developed in the different disciplines of Earth system science. To meet the methodological challenges for a successful application in Earth system modeling, we emphasize that PTF development has to go hand in hand with suitable extrapolation and upscaling techniques such that the PTFs correctly represent the spatial heterogeneity of soils. PTFs should encompass the variability of the estimated soil property or process, in such a way that the estimation of parameters allows for validation and can also confidently provide for extrapolation and upscaling purposes capturing the spatial variation in soils. Most actively pursued recent developments are related to parameterizations of solute transport, heat exchange, soil respiration, and organic carbon content, root density, and vegetation water uptake. Further challenges are to be addressed in parameterization of soil erosivity and land use change impacts at multiple scales. We argue that a comprehensive set of PTFs can be applied throughout a wide range of disciplines of Earth system science, with emphasis on land surface models. Novel sensing techniques provide a true breakthrough for this, yet further improvements are necessary for methods to deal with uncertainty and to validate applications at global scale.

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Section: Ptfs In Earth System Sciencesmentioning

confidence: 99%

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Looy

Bouma

Herbst

et al. 2017

Reviews of Geophysics

397

297

View full text Add to dashboard Cite

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“…Since severe convective events associated with the intense soil-cooling events observed in this study tend to become more and more frequent in relation to climate change (Feng et al, 2016), soil-cooling effects may play a role in the response of the Earth system to climate change. Moreover, rainwater temperature estimates from observation networks or from atmospheric model simulations could be beneficial for a number of applications such as urban heat island monitoring (e.g., Jelinkova et al, 2015), drinking water quality monitoring (e.g., Chubaka et al, 2018), the estimation of the emission rates of greenhouse gases by soils (e.g., Gagnon et al, 2018), or the quantification of soil erosion (e.g., Sachs and Sarah, 2017).…”

Section: Does Soil Cooling Matter?mentioning

confidence: 99%

Identification of soil-cooling rains in southern France from soil temperature and soil moisture observations

2019

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Abstract. In this study, the frequency and intensity of soil-cooling rains is assessed using in situ observations of atmospheric and soil profile variables in southern France. Rainfall, soil temperature, and topsoil volumetric soil moisture (VSM) observations, measured every 12 min at 21 stations of the SMOSMANIA (Soil Moisture Observing System – Meteorological Automatic Network Integrated Application) network, are analyzed over a time period of 9 years, from 2008 to 2016. The spatial and temporal statistical distribution of the observed rainfall events presenting a marked soil-cooling effect is investigated. It is observed that the soil temperature at a depth of 5 cm can decrease by as much as 6.5 ∘C in only 12 min during a soil-cooling rain. We define marked soil-cooling rains as rainfall events triggering a drop in soil temperature at a depth of 5 cm larger than 1.5 ∘C in 12 min. Under Mediterranean and Mediterranean–mountain climates, it is shown that such events occur up to nearly 3 times a year, and about once a year on average. This frequency decreases to about once every 3.5 years under semi-oceanic climate. Under oceanic climate, such pronounced soil-cooling rains are not observed over the considered period of time. Rainwater temperature is estimated for 13 cases of marked soil-cooling rains using observed changes within 12 min in soil temperature at a depth of 5 cm, together with soil thermal properties and changes in VSM. On average, the estimated rainwater temperature is generally lower than the observed ambient air temperature, wet-bulb temperature, and topsoil temperature at a depth of 5 cm, with mean differences of −5.1, −3.8, and −11.1 ∘C, respectively. The most pronounced differences are attributed to hailstorms or to hailstones melting before getting to the soil surface. Ignoring this cooling effect can introduce biases in land surface energy budget simulations.

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“…In general, the soil around the stations is covered by grass. The soil properties were measured for each station as described in Calvet et al (2016). In the SMOSMANIA network, VSM and soil temperature are measured every 12 min at four depths (5, 10, 20 and 30 cm) using ThetaProbe and PT100 sensors, respectively.…”

Section: Datamentioning

confidence: 99%

Identification of soil-cooling rains in southern France from soil temperature and soil moisture observations

Zhang¹,

Meurey²,

Calvet³

2018

Preprint

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<p><strong>Abstract.</strong> In this study, the frequency and intensity of soil-cooling rains is assessed using in situ observations of atmospheric and soil profile variables in southern France. Rainfall, soil temperature and topsoil volumetric soil moisture (VSM) observations, measured every 12 minutes at 21 stations of the SMOSMANIA (Soil Moisture Observing System &#8211; Meteorological Automatic Network Integrated Application) network, are analyzed over a time period of 9 years, from 2008 to 2016. The spatial and temporal statistical distribution of the observed rainfall events presenting a marked soil-cooling effect is investigated. It is observed that the soil temperature at a depth of 5&#8201;cm can decrease by as much as 6.5&#8201;&#186;C in only 12 minutes during a soil-cooling rain. We define marked soil-cooling rains as rainfall events triggering a drop in soil temperature at a depth of 5 cm larger than 1.5&#8201;&#176;C in 12 minutes. Under Mediterranean and Mediterranean-mountain climates, it is shown that such events occur up to nearly 3 times a year, and about once a year on average. This frequency decreases to about once every 3.5 years under semi-oceanic climate. Under oceanic climate, such pronounced soil-cooling rains are not observed over the considered period of time. Rainwater temperature is estimated for 13 cases of marked soil-cooling rains using observed changes within 12 min in soil temperature at a depth of 5 cm, together with soil thermal properties and changes in VSM. On average, the estimated rainwater temperature is generally lower than the observed ambient air temperature, wet-bulb temperature, and topsoil temperature at a depth of 5 cm, with mean differences of &#8722;5.1&#8201;&#186;C, &#8722;3.8&#8201;&#186;C, and &#8722;11.1&#8201;&#186;C, respectively. The most pronounced differences are attributed to hailstorms or to hailstones melting before getting to the soil surface. Ignoring this cooling effect can introduce biases in land surface energy budget simulations.</p>

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Deriving pedotransfer functions for soil quartz fraction in southern France from reverse modeling

Cited by 32 publications

References 33 publications

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Identification of soil-cooling rains in southern France from soil temperature and soil moisture observations

Identification of soil-cooling rains in southern France from soil temperature and soil moisture observations

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