Understanding the interaction between the land and atmosphere is paramount to our understanding of many current world problems such as leaking of geologically-sequestered carbon dioxide in soil, climate change, water and food supply, the accurate detection of landmines, and the remediation of ground water and soil. In addition, the primary exchanges of heat and water that drive global and regional meteorological conditions occur at the Earth’s surface. Many weather and climate phenomena (e.g., hurricanes, El Niño, droughts, etc.) are principally driven by processes associated with atmospheric-land surface interactions1. As more than half of the land surface on the Earth is arid or semiarid2-4, accurately describing the water cycle in these regions on the basis of heat and water exchanges between the atmospheric air and the soil surface is critical to improving our understanding of the aforementioned issues, particularly in regions vulnerable to extended drought and desertification. However, despite decades of research, there still remain many knowledge gaps in the current understanding of how the shallow subsurface and atmosphere interact5.
Transport processes involving liquid water, water vapor, and heat in soil are dynamic and strongly coupled with respect to interactions with the soil and enforced boundary conditions (i.e., temperature, relative humidity, thermal radiation). Numerical heat and mass transfer models commonly oversimplify or overlook a number of these complexities due in part to a lack of testing and refinement of existing theories resulting from a paucity of high temporal and spatial resolution data. Datasets developed for model validation are oftentimes lacking critical atmospheric or subsurface information to properly test the theories, resulting in numerical models that do not properly account for important processes or depend on the use of poorly understood parameters that are adjusted or fitted in the model. This approach is widely used due to its simplicity and ease of use and has in some applications shown much merit. However, this approach can be improved upon by better understanding the physics behind these “lumped parameterizations” by performing well controlled experiments under transient conditions that are capable of testing heat and water transfer theory6.
Careful experimentation in the laboratory allows precision datasets to be generated that can subsequently be used to validate numerical models. Data available from field sites are often incomplete and costly to obtain, and the degree of control needed to obtain a fundamental understanding of processes and to generate data for model validation could be considered inadequate in some cases. Laboratory experimentation of natural phenomena such as soil evaporation allows atmospheric conditions (i.e., temperature, relative humidity, wind speed) and soil conditions (i.e., soil type, porosity, packing configuration) to be carefully controlled. Many laboratory techniques used to study soil evaporation and soil thermal and hydraulic properties use destructive sampling7-10. Destructive sampling methods require that a soil sample be unpacked to obtain point data, preventing the measurement of transient behavior and disrupting soil physical properties; this approach introduces error and uncertainty to the data. Nondestructive measurements, like the method presented here, allow for more accurate determination and study of the interdependency of soil properties and processes11.
The goal of this work is to develop a soil tank apparatus and associated protocol for the generation of high spatial and temporal resolution data pertaining to the effects of changes in atmospheric and subsurface conditions on bare-soil evaporation. For this work, a small wind tunnel capable of maintaining a constant wind speed and temperature is interfaced with a soil tank apparatus. The wind tunnel and soil tank are instrumented with a suite of state of the art sensor technologies for autonomous and continuous data collection. Wind speed is measured using a stainless steel pitot-static tube attached to a pressure transducer. Temperature and relative humidity are monitored in the atmosphere using two types of sensors. Relative humidity and temperature are also monitored at the soil surface. Sensors in the subsurface measure soil moisture and temperature. Weight measurements of the tank apparatus are used to determine evaporation through a water mass balance. To demonstrate the applicability of this experimental apparatus and protocol, we present an example of bare-soil evaporation under varying wind speed conditions. The soil tank, packed homogeneously with a well characterized sand, was initially fully saturated and allowed to evaporate freely under carefully controlled atmospheric conditions (i.e. temperature, wind speed).