Sensitivity Analysis of the Maximum Entropy Production Method to Model Evaporation in Boreal and Temperate Forests

Isabelle, Pierre‐Érik; Viens, L.; Nadeau, Daniel F.; Anctil, François; Wang, J.; Maheu, Audrey

doi:10.1029/2020gl091919

Cited by 10 publications

(5 citation statements)

References 62 publications

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“…Rn has been identified as the most sensitive input variable (Isabelle et al, 2021;Xu et al, 2019). The strong correlation between ET and temperature in Figure S10a in Supporting Information S1 stems from the fact that the increase of near-surface temperature is proportional to the increase in Rn: the two are related through a physical theory and results confirm their strong inter-relationship (Figure S11 in Supporting Information S1).…”

Section: Change Of Et At Continental Scale and Attributionsmentioning

confidence: 76%

“…The increased temperature is not the direct cause for the increase of ET in the future. When one considers the MEP model as a prognostic tool with flux and state inputs (i.e., Rn, T s , q s , θ , see Text S2 in Supporting Information ), Rn has been identified as the most sensitive input variable (Isabelle et al., 2021; Xu et al., 2019). The strong correlation between ET and temperature in Figure S10a in Supporting Information stems from the fact that the increase of near‐surface temperature is proportional to the increase in Rn: the two are related through a physical theory and results confirm their strong inter‐relationship (Figure S11 in Supporting Information ).…”

Section: Resultsmentioning

confidence: 99%

“…MEP model formulates energy dissipation partitioning of land‐surface net radiative energy into latent, sensible, and ground heat ﬂuxes. The model requires fewer inputs than classical ET algorithms, avoiding typical parameterization uncertainties (Text S2 in Supporting Information ), and it has demonstrated a well‐proven accuracy for a variety of land‐cover conditions (Huang et al., 2017; Isabelle et al., 2021; Nearing et al., 2012; Shanafield et al., 2015; Sun et al., 2022; Wang et al., 2014; Xu et al., 2019), offering the potential to elucidate mechanisms controlling future ET changes.…”

Section: Introductionmentioning

confidence: 99%

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Energy Surplus and an Atmosphere‐Land‐Surface “Tug of War” Control Future Evapotranspiration

Ivanov

Agee

et al. 2023

Geophysical Research Letters

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The 21st century evapotranspiration (ET) trends over the continental U.S. are assessed using innovative, energy‐based principles. Annual ET is projected to increase with high confidence at the rate of 20 mm for every 1℃ of rise in near‐surface air temperature, or 0.45 or 0.98 mm/year/year, depending on the emission scenario. The ET trajectory is dominated (58%) by the increase of land‐surface net radiative energy. An enhancement of the fraction of energy taken up by ET becomes a more important controller (53%) in late 21st century, under the high emission scenario. This increase is explained by the “tug of war” between atmospheric vapor demand and land‐surface ability to supply water. An assessment of future water availability (precipitation minus ET) shows no significant changes at the continental scale. This outcome nevertheless hides strong spatial variability, emphasizing the role of ET in shaping the distribution of water availability among human populations.

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Section: Change Of Et At Continental Scale and Attributionsmentioning

confidence: 76%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Energy Surplus and an Atmosphere‐Land‐Surface “Tug of War” Control Future Evapotranspiration

Ivanov

Agee

et al. 2023

Geophysical Research Letters

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“…This prototype of the MEP models paved the way for developing a non‐gradient model of latent, sensible and ground heat flux over the land surface (Wang & Bras, 2011), which has been extended to all surface types including water, snow, and ice (Wang et al., 2014). The MEP model has been extensively validated and widely applied (e.g., El Sharif et al., 2019; Hajji et al., 2018, 2021; Isabelle et al., 2021; Jia et al., 2023; Jing & Wang, 2023; Nearing et al., 2012; Shanafield et al., 2015; Tang et al., 2021; Wang et al., 2017; Wang, Liu, & Shen, 2023; Xu et al., 2019, 2023; Yang et al., 2022; Yang & Wang, 2014).…”

Section: Methodsmentioning

confidence: 99%

A Theory of Maximum Entropy Production and Its Application to Microwave Remote Sensing—Simultaneous Retrieval of Soil Moisture and Vegetation Water Content

Wang,

Cho,

Negron‐Juarez

et al. 2024

Earth and Space Science

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A theory of maximum entropy production (MEP) for electromagnetic wave propagation in dielectric materials is proposed and applied to simultaneously retrieving soil moisture (SM) and vegetation water content (VWC) from L‐band microwave brightness temperature (TB). One representation of the MEP principle states that a non‐equilibrium system corresponds to such a configuration of energy fluxes that minimizes a dissipation function under the constraint of energy conservation. The dissipation function for radiative transfer is formulated as an analogy of that for heat transfer. A new physical parameter, radiative inertia as an analogy of thermal inertia, is introduced to characterize radiative attenuation in dielectric media. The radiative inertia is parameterized in terms of the penetration depth of electromagnetic waves as a function of the complex dielectric constant. The MEP based retrieval algorithm predicts SM and VWC by minimizing the dissipation function under the constraint of the conservation of radiative energy. The retrievals of SM and VWC based on the MEP theory were validated against field observations in tropical and temperate forested regions of the Amazon and North America. The proof‐of‐concept analysis demonstrates the capability of the MEP algorithm for simultaneous retrievals of SM and VWC even for dense canopy (e.g., VWC > 5 kg m−2). The MEP method is a new theoretical framework for developing innovative remote sensing algorithms of the Earth system not limited to microwave observations.

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“…It does not explicitly depend on temperature/humidity gradients, wind speed and surface roughness. The MEP model has been extensively validated and widely applied for example, (Chen et al., 2017; El Sharif et al., 2019; Hajji et al., 2018, 2021; Isabelle et al., 2021; Nearing et al., 2012; Shanafield et al., 2015; Tang et al., 2021; H. Wang et al., 2017; Yang et al., 2017; Yang & Wang, 2014) either reproducing or outperforming the bulk flux formula. The MEP parameterization of Q has been used in the FRM of soil surface temperature (Huang et al., 2017).…”

Section: Parameterization Of Surface Heat Fluxmentioning

confidence: 99%

A Dynamics of Surface Temperature Forced by Solar Radiation

Jing

Wang

2023

Geophysical Research Letters

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Surface temperature of the earth plays a uniquely important role in solar radiation energy entering the Earth system through the surface energy balance, that is, the partition of solar radiation into long-wave radiation and turbulent and conductive heat fluxes into the atmosphere and the earth. A fundamental physical principle governing the dynamics of surface temperature is the conservation of energy represented by the energy balance equation linking radiation and conductive/turbulent heat fluxes at the earth-atmosphere interface (Huang et al., 2017). Surface temperature and heat fluxes are commonly related through the temperature gradient-flux relationships that couple the surface temperature and fluxes to the temperature and heat fluxes of the interior atmosphere and earth. Prediction and simulation of surface temperature by solving partial differential equations describing the earth-atmosphere interaction processes are mathematically challenging and computationally costly in addition to the long-standing difficulty in physical parameterization of the turbulence of the atmospheric and oceanic boundary layer.Previous studies have revealed other fundamental physical principles underlying the dynamics of surface temperature than the conservation law. For example, surface temperature (and soil wetness) evolves in such a way that evapotranspiration (ET) over the land surface is maximized under the constraint of radiation energy supply (J. Wang et al., , 2007. The maximum principles of ET lay a theoretical foundation for a new dynamics of surface temperature (and the associated surface heat fluxes) without explicitly referring to the atmospheric and below-ground temperature distribution. The non-parametric expression of the maximum principles of ET opens the possibility of a general dynamic equation of surface temperature without specifying the parameterization of conductive and turbulent heat fluxes. The non-gradient formula of heat fluxes (

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Sensitivity Analysis of the Maximum Entropy Production Method to Model Evaporation in Boreal and Temperate Forests

Cited by 10 publications

References 62 publications

Energy Surplus and an Atmosphere‐Land‐Surface “Tug of War” Control Future Evapotranspiration

Energy Surplus and an Atmosphere‐Land‐Surface “Tug of War” Control Future Evapotranspiration

A Theory of Maximum Entropy Production and Its Application to Microwave Remote Sensing—Simultaneous Retrieval of Soil Moisture and Vegetation Water Content

A Dynamics of Surface Temperature Forced by Solar Radiation

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