Articles | Volume 25, issue 2
Hydrol. Earth Syst. Sci., 25, 685–709, 2021
https://doi.org/10.5194/hess-25-685-2021
Hydrol. Earth Syst. Sci., 25, 685–709, 2021
https://doi.org/10.5194/hess-25-685-2021

Research article 17 Feb 2021

Research article | 17 Feb 2021

The challenges of an in situ validation of a nonequilibrium model of soil heat and moisture dynamics during fires

William J. Massman

Related authors

Impacts of non-ideality and the thermodynamic pressure work term pΔv on the surface energy balance
William J. Massman
Hydrol. Earth Syst. Sci., 24, 967–975, https://doi.org/10.5194/hess-24-967-2020,https://doi.org/10.5194/hess-24-967-2020, 2020
Short summary
A Bayesian model to correct underestimated 3-D wind speeds from sonic anemometers increases turbulent components of the surface energy balance
John M. Frank, William J. Massman, and Brent E. Ewers
Atmos. Meas. Tech., 9, 5933–5953, https://doi.org/10.5194/amt-9-5933-2016,https://doi.org/10.5194/amt-9-5933-2016, 2016
Short summary
A non-equilibrium model for soil heating and moisture transport during extreme surface heating: the soil (heat–moisture–vapor) HMV-Model Version 1
W. J. Massman
Geosci. Model Dev., 8, 3659–3680, https://doi.org/10.5194/gmd-8-3659-2015,https://doi.org/10.5194/gmd-8-3659-2015, 2015

Related subject area

Subject: Vadose Zone Hydrology | Techniques and Approaches: Theory development
Anatomy of the 2018 agricultural drought in the Netherlands using in situ soil moisture and satellite vegetation indices
Joost Buitink, Anne M. Swank, Martine van der Ploeg, Naomi E. Smith, Harm-Jan F. Benninga, Frank van der Bolt, Coleen D. U. Carranza, Gerbrand Koren, Rogier van der Velde, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 24, 6021–6031, https://doi.org/10.5194/hess-24-6021-2020,https://doi.org/10.5194/hess-24-6021-2020, 2020
Short summary
Sigmoidal Water Retention Function with Improved Behavior in Dry and Wet Soils
Gerrit H. de Rooij, Juliane Mai, and Raneem Madi
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-380,https://doi.org/10.5194/hess-2020-380, 2020
Revised manuscript accepted for HESS
Short summary
Beyond Perrault's experiments: repeatability, didactics and complexity
Stefano Barontini and Matteo Settura
Hydrol. Earth Syst. Sci., 24, 1907–1926, https://doi.org/10.5194/hess-24-1907-2020,https://doi.org/10.5194/hess-24-1907-2020, 2020
Short summary
Mechanisms of consistently disjunct soil water pools over (pore) space and time
Matthias Sprenger, Pilar Llorens, Carles Cayuela, Francesc Gallart, and Jérôme Latron
Hydrol. Earth Syst. Sci., 23, 2751–2762, https://doi.org/10.5194/hess-23-2751-2019,https://doi.org/10.5194/hess-23-2751-2019, 2019
Short summary
Energy states of soil water – a thermodynamic perspective on soil water dynamics and storage-controlled streamflow generation in different landscapes
Erwin Zehe, Ralf Loritz, Conrad Jackisch, Martijn Westhoff, Axel Kleidon, Theresa Blume, Sibylle K. Hassler, and Hubert H. Savenije
Hydrol. Earth Syst. Sci., 23, 971–987, https://doi.org/10.5194/hess-23-971-2019,https://doi.org/10.5194/hess-23-971-2019, 2019

Cited articles

Abatzogloua, J. T. and Williams, A. P.: Impact of anthropogenic climate change on wildfire across western US forests, P. Natl. Acad. Sci. USA, 113, 11770–11775, https://doi.org/10.1073/pnas.1607171113, 2016. a
Arya, L. M., Leij, F. J., van Genuchten, M. T., and Shouse, P. J.: Scaling parameter to predict the soil water characteristic from particle-size distribution data, Soil Sci. Soc. Am. J., 63, 510–519, https://doi.org/10.2136/sssaj1999.03615995006300030013x, 1999. a
Assouline, S.: A model for the relative hydraulic conductivity based on the water retention curve, Water Resour. Res, 37, 265–271, https://doi.org/10.1029/2000WR900254, 2001. a
Barnett, C. R.: BFD curve: A new empirical model for fire compartment temperatures, Fire Safe. J., 37, 437–463, https://doi.org/10.1016/S0379-7112(02)00006-1, 2002. a
Bauer, T. H.: A general analytical approach toward the thermal conductivity of porous media, Int. J. Heat Mass Tran., 36, 4181–4191, https://doi.org/10.1016/0017-9310(93)90080-P, 1993. a
Download
Short summary
Increasing fire frequency and severity now poses a threat to most of the world's wildlands and forested ecosystems and their benefits. The HMV (Heat–Moisture–Vapor) model is a tool to manage fuels to help mitigate the consequences of fire and promote soil and vegetation recovery after fire. The model's performance is surprisingly good, but it also provides insights into the existence of previously unobserved feedbacks and other physical processes that occur during fire.