[
Abu-Hamdeh, N.H., Reeder, R.C., 2000. Soil thermal conductivity effects of density, moisture, salt concentration, and organic matter. Soil Sci. Soc. Am. J., 64, 4, 1285–1290.
]Search in Google Scholar
[
Acreman, M.C., Harding, R.J., Lloyd, C.R., McNeil, D.D., 2003. Evaporation characteristics of wetlands: experience from a wet grassland and a reedbed using eddy correlation measurements. Hydrol. Earth Syst. Sci., 7, 1, 11–21.
]Search in Google Scholar
[
Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56, FAO-Food and Agriculture Organization of the United Nations, Rome, Italy, 300, 9, D05109.
]Search in Google Scholar
[
Allen, R.G., Tasumi, M., Trezza, R., 2007. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)–model. Journal of Irrigation and Drainage Engineering, 133, 4, 380–394.
]Search in Google Scholar
[
Arkhangelskaya, T.A., 2020. Parameters of the thermal diffusivity vs. water content function for mineral soils of different textural classes. Euras. Soil Sci., 53, 1, 39–49.
]Search in Google Scholar
[
Bachmann, J., Horton, R., Ren, T., Van Der Ploeg, R.R., 2001. Comparison of the thermal properties of four wettable and four water‐repellent soils. Soil Science Society of America Journal, 65, 6, 1675–1679.
]Search in Google Scholar
[
Bastiaanssen, W.G., Menenti, M., Feddes, R.A., Holtslag, A.A.M., 1998. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation. Journal of Hydrology, 212, 198–212.
]Search in Google Scholar
[
Berg, A., Lintner, B.R., Findell, K.L., Malyshev, S., Loikith, P.C., Gentine, P., 2014. Impact of soil moisture–atmosphere interactions on surface temperature distribution. J. Climate, 27, 7976–7993.
]Search in Google Scholar
[
Bristow, K.L., 2002. Thermal Conductivity. Methods of Soil Analysis: Part 4. Physical Methods, 5, 1209–1226.
]Search in Google Scholar
[
Campbell, G.S., Calissendorff, C., Williams, J.H., 1991. Probe for measuring soil specific heat using a heat-pulse method. Soil Sci. Soc. Am. J., 55, 291–293.
]Search in Google Scholar
[
Cheruy, F., Dufresne, J.L., Aït Mesbah, S., Grandpeix, J.Y., Wang, F., 2017. Role of soil thermal inertia in surface temperature and soil moisture‐temperature feedback. JAMES, 9, 8, 2906–2919.
]Search in Google Scholar
[
Dirmeyer, P.A., Zeng, F.J., Ducharne, A., Morrill, J.C., Koster, R.D., 2000. The sensitivity of surface fluxes to soil water content in three land surface schemes. J. Hydrometeorol., 1, 121–134.
]Search in Google Scholar
[
Dong, Y., McCartney, J.S., Lu, N., 2015. Critical review of thermal conductivity models for unsaturated soils. Geotechnical and Geological Engineering, 33, 207–221.
]Search in Google Scholar
[
Feldman, A.F., Short Gianotti, D.J., Trigo, I.F., Salvucci, G.D., Entekhabi, D., 2020. Land-atmosphere drivers of landscape-scale plant water content loss. Geophys. Res. Lett., 47, e2020GL090331.
]Search in Google Scholar
[
Guevara-Escobar, A., Tellez, J., Gonzalez-Sosa, E., 2005. Use of digital photography for analysis of canopy closure. Agroforest. Syst. 65, 175–185.
]Search in Google Scholar
[
Haghighi, E., Short Gianotti, D.J., Akbar, R., Salvucci, G.D., Entekhabi, D., 2018. Soil and atmospheric controls on the land surface energy balance: A generalized framework for distinguishing moisture-limited and energy-limited evaporation regimes. Water Resources Res., 54, 1831–1851.
]Search in Google Scholar
[
Hanson, J.L., Edil, T.B., Yesiller, N., 2000. Thermal properties of high water content materials. ASTM Spec. Tech. Publ., 1374, 137–151.
]Search in Google Scholar
[
Hansson, K., Šimunek, J., Mizoguchi, M., Lundin, L.C., Van Genuchten, M.T., 2004. Water flow and heat transport in frozen soil: Numerical solution and freeze–thaw applications. Vadose Zone Journal, 3, 2, 693–704.
]Search in Google Scholar
[
Heitman, J. L., Horton, R., Sauer, T. J., Ren, T. S., Xiao, X., 2010. Latent heat in soil heat flux measurements. Agricultural and Forest Meteorology,150, 7–8, 1147–1153.
]Search in Google Scholar
[
IUSS Working Group WRB, 2022. World Reference Base for Soil Resources. 4th Ed. International Union of Soil Sciences, Vienna, 234 p.
]Search in Google Scholar
[
Ji, X.B., Chen, J.M., Zhao, W.Z., Kang, E.S., Jin, B.W., Xu, S.Q., 2017. Comparison of hourly and daily Penman-Monteith grass-and alfalfa-reference evapotranspiration equations and crop coefficients for maize under arid climatic conditions. Agric. Water Manage., 192, 1–11.
]Search in Google Scholar
[
Lang, D., Zheng, J., Shi, J., Liao, F., Ma, X., Wang, W., Chen, X., Zhang, M., 2017. A comparative study of potential evapotranspiration estimation by eight methods with FAO Penman–Monteith method in southwestern China. Water, 9, 10, 734.
]Search in Google Scholar
[
Liu, S., Lu, L., Mao, D., Jia, L., 2007. Evaluating parameterizations of aerodynamic resistance to heat transfer using field measurements. Hydrology and Earth Sys. Sci., 11, 2, 769–783.
]Search in Google Scholar
[
Mann, H.B., Whitney, D.R., 1947. On a test of whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics, 18, 50–60.
]Search in Google Scholar
[
Monteith, J.L., 1965. Evaporation and environment. In: Symposia of the Society for Experimental Biology. Cambridge University Press (CUP) Cambridge, 19, 205–234.
]Search in Google Scholar
[
Minacapilli, M., Cammalleri, C., Ciraolo, G., D'Asaro, F., Iovino, M., Maltese, A., 2012. Thermal inertia modeling for soil surface water content estimation: A laboratory experiment. Soil Science Society of America Journal, 76, 1, 92–100.
]Search in Google Scholar
[
Murray, T., Verhoef, A., 2007. Moving towards a more mechanistic approach in the determination of soil heat flux from remote measurements: I. A universal approach to calculate thermal inertia. Agric. For. Meteorol., 147, 1–2, 80–87.
]Search in Google Scholar
[
Nearing, G.S., Moran, M.S., Scott, R.L., Ponce-Campos, G., 2012. Coupling diffusion and maximum entropy models to estimate thermal inertia. Remote Sensing of Environment, 119, 222–231.
]Search in Google Scholar
[
Ni, J., Cheng, Y., Wang, Q., Ng, C.W.W., Garg, A., 2019. Effects of vegetation on soil temperature and water content: Field monitoring and numerical modelling. Journal of Hydrology, 571, 494–502.
]Search in Google Scholar
[
Nolz, R., 2016. A review on the quantification of soil water balance components as a basis for agricultural water management with a focus on weighing lysimeters and soil water sensors. J. Land Manag. Food Environ., 67, 133–144.
]Search in Google Scholar
[
Nsiah, J.J., Gyamfi, C., Anornu, G.K., Odai, S.N., 2021. Estimating the spatial distribution of evapotranspiration within the Pra River Basin of Ghana. Heliyon, 7, 4, e06828.
]Search in Google Scholar
[
Oyeyemi, K.D., Sanuade, O.A., Oladunjoye, M.A., Aizebeokhai, A.P., Olaojo, A.A., Fatoba, J.O., Olofinnade, O.M., Ayara, W.A., Oladapo, O., 2018. Data on the thermal properties of soil and its moisture content. Data in Brief, 17, 900–906.
]Search in Google Scholar
[
Onwuka, B., Mang, B., 2018. Effects of soil temperature on some soil properties and plant growth. Adv. Plants Agric. Res., 8, 1, 34–37.
]Search in Google Scholar
[
Seneviratne, S.I., Corti, T., Davin, E.L., Hirschi, M., Jaeger, E.B., Lehner, I., Orlowsky, B., Teuling A.J., 2010. Investigating soil moisture–climate interactions in a changing climate: A review. Earth-Science Reviews, 99, 125–161.
]Search in Google Scholar
[
Shapiro, S.S., Wilk, M.B., 1965. An analysis of variance test for normality (complete samples). Biometrika, 52, 3/4, 591–611.
]Search in Google Scholar
[
Soil survey laboratory methods manual. Soil survey investigations report No. 42, version 3.0, January 1996. US Department of Agriculture, Natural Resources Conservation Service, National Soil Survey Center, Washington, 693 p.
]Search in Google Scholar
[
Su, Z., 2002. The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrol. Earth Sys. Sci., 6, 1, 85–100.
]Search in Google Scholar
[
Sun, X., Zou, C.B., Wilcox, B., Stebler, E., 2019. Effect of vegetation on the energy balance and evapotranspiration in tallgrass prairie: A paired study using the eddy-covariance method. Boundary-Layer Meteorology, 170, 1, 127–160.
]Search in Google Scholar
[
Talebmorad, H., Ahmadnejad, A., Eslamian, S., Ostad-Ali-Askari, K., Singh, V.P., 2020. Evaluation of uncertainty in evapotranspiration values by FAO56-Penman-Monteith and Hargreaves-Samani methods. Int. J. Hydrology Science and Technology, 10, 2, 135–147.
]Search in Google Scholar
[
Usowicz, B., Lipiec, J., Łukowski, M., Marczewski, W., Usowicz, J., 2016. The effect of biochar application on thermal properties and albedo of loess soil under grassland and fallow. Soil Till. Res., 164, 45–51.
]Search in Google Scholar
[
Verheijen, F.G., Jeffery, S., van der Velde, M., Penížek, V., Beland, M., Bastos, A.C., Keizer, J.J., 2013. Reductions in soil surface albedo as a function of biochar application rate: implications for global radiative forcing. Environ. Res. Lett., 8, 4, 044008.
]Search in Google Scholar
[
Verhoef, A., 2004. Remote estimation of thermal inertia and soil heat flux for bare soil. Agricultural and Forest Meteorology, 123, 3–4, 221–236.
]Search in Google Scholar
[
Wang, R., Gentine, P., Yin, J., Chen, L., Chen, J., Li, L., 2021. Long-term relative decline in evapotranspiration with increasing runoff on fractional land surfaces. Hydrology and Earth System Sciences, 25, 7, 3805–3818.
]Search in Google Scholar
[
Xiao, X., Heitman, J.L., Sauer, T.J., Ren, T., Horton, R., 2014. Sensible heat balance measurements of soil water evaporation beneath a maize canopy. Soil Sci. Soc. Am. J., 78, 2, 361–368.
]Search in Google Scholar
[
Yang, F., Zhou, G., 2011. Characteristics and modeling of evapotranspiration over a temperate desert steppe in Inner Mongolia, China. J. Hydrol., 396, 1–2, 139–147.
]Search in Google Scholar
[
Zhang, R., Tian, J., Mi, S., Su, H., He, H., Li, Z., Liu, K., 2016. The effect of vegetation on the remotely sensed soil thermal inertia and a two-source normalized soil thermal inertia model for vegetated surfaces. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 4, 1725–1735.
]Search in Google Scholar
[
Zhang, M., Lu, Y., Heitman, J., Horton, R., Ren, T., 2017. Temporal changes of soil water retention behavior as affected by wetting and drying following tillage. Soil Science Society of America Journal, 81, 6, 1288–1295.
]Search in Google Scholar
[
Zhao, J., Ren, T., Zhang, Q., Du, Z., Wang, Y., 2016. Effects of biochar amendment on soil thermal properties in the North China Plain. Soil Science Society of America Journal, 80, 5, 1157–1166.
]Search in Google Scholar
