Showing posts sorted by relevance for query Critical Zone. Sort by date Show all posts
Showing posts sorted by relevance for query Critical Zone. Sort by date Show all posts

Friday, January 9, 2015

Critical Zone


I came to know about the Critical Zone through the Critical Zone Observatories. Poor me ! So I was looking for its definition. And here it is

The Earth’s Critical Zone (CZ) is defined as "the heterogeneous, near surface environment in which complex interactions involving rock, soil, water, air, and living organisms regulate the natural habitat and determine the availability of life-sustaining resources [1]".

It is not difficult to understand that studying it will be one of the most intriguing topics of the next years. Well beyond the actual way ecohydrology has arrived.

From Quijano and Ling, I simply copy:

"The CZ is the result of complex interactions of physical, chemical, and biological processes that have taken place over an evolutionary time scale [2]. These interactions have been driven by energy, mass, entropy, and information fluxes, and the result is heterogeneous but organized structures that regulate the flow of energy down the gradients of various kinds [2,3]. "

Do not have very much to add right know (but studying it is one of the original motivation of GEOtop, at larger scales of JGrass-NewAGE). Thermodynamics plays a fundamental role in it - see also here, which makes it even more interesting to me).

References

Lin, H. Earth’s Critical Zone and hydropedology: Concepts, characteristics, and advances. Hydrol. Earth Syst. Sci. 2010, 14, 25–45.

Quijano, J., & Lin, H,. Entropy in the Critical Zone: A Comprehensive Review. Entropy, 16(6),  2014 , 3482–3536. doi:10.3390/e16063482

Rasmussen, C.; Troch, P.A.; Chorover, J.; Brooks, P.; Pelletier, J.; Huxman, T.E. An open system framework for integrating critical zone structure and function. Biogeochemistry 2011, 102, 15–29.

Wednesday, May 25, 2016

WATER-MIX

This is a project we presented for the National Projects (PRIN 2015). The project is very good. Participants outstanding. Competition very high. I do not understand because our government does not double or triple the funding available. A little effort would have enormous effects, especially in the morale of the troops.

What is looking for doing: Vegetation effects on water partitioning and mixing across the Earth’s Critical Zone: observations and predictions under environmental changes.

The Abstract:

Earth’s Critical Zone, the thin outer layer of our planet from the top of the tree canopy to the bottom of water aquifers that supports almost all human activity, is experiencing ever-increasing pressure from growth in human population, wealth and climatic changes. Understanding, predicting and managing intensification of water use and associated economic services, while mitigating and adapting to rapid climate change and biodiversity decline, is now one of the most pressing societal challenges of the 21st century. Thus, the knowledge of how vegetation affects water storage and flow pathways is essential for a more efficient and sustainable management of water resources. In spite of past efforts to assess the role of vegetation on the water cycle, a thorough understanding of the ecohydrological mechanisms according to which vegetation stores and transpires water, interacts with runoff generation and affects flow regimes is still missing. Particularly, recent works argued the truthfulness of the widely adopted paradigm of a single ecohydrological reservoir, and suggested that two ‘water worlds', one originating groundwater and stream runoff, and one associated with the vegetation water uptake, may exist. The lack of water exchange between the two soil pools provides a fundamental challenge to current conceptualizations and analyses of water-cycle processes.

The general goal of the project is to gain new insights on the water partitioning and mixing within the Earth Critical Zone by testing hypotheses of eco-hydrological separation of vegetation water use. For this, the project will couple advanced isotopic, geophysical and micro-meteorological monitoring with detailed eco-hydrological models, and will specifically focus on the Mediterranean area. Finally, the project will develop a framework to translate the new critical zone knowledge into evidence to support policy and management decisions concerning water and land use in forested and agricultural ecosystems.

The project includes the organisation a Critical Zone Observatories Network. This includes five field sites which will provide a consistent access to different climatic, hydrological and ecological conditions which are representative of the Mediterranean and Alpine-Mediterranean environments. Each Observatory involves co-located research to be conducted by inter-disciplinary teams. By testing hypotheses of eco-hydrological separation of vegetation water use across multiple sites, the project will advance our capability to predict the effects of vegetation and climate change on water availability in space and time.

1 - State of the art

Earth’s Critical Zone (CZ), the thin outer layer of our planet from the top of the tree canopy to the bottom of water aquifers that supports almost all human activity, is experiencing ever-increasing pressure from growth in human population, wealth and climatic changes. Within the next decades, global demand for food and fuel is expected to double along with a more than 50% increase in demand for clean water. Understanding, predicting and managing intensification of water use and associated economic services, while mitigating and adapting to rapid climate change and biodiversity decline, is now one of the most pressing societal challenges of the 21st century.

Although over the past 60 years numerous studies have examined soil hydrologic processes, vegetation function, and micro-climate independently, investigating the feedbacks among these core areas has only recently become a research priority. Fundamental questions on vegetation’ effect on the hydrologic cycle remain unanswered: how is the vegetation water use linked to the water flows to groundwater and streams? to what extent does transpiration affect streamflow and groundwater? how does complex terrain, soil characteristics and land use influence the feedbacks between hydrology and ecology? Answering these questions is key to assess the influence of changing vegetation cover on hydrologic ecosystem services in agroforest environments.

Current soil-vegetation-atmosphere (SVAT) models assume that groundwater, streamflow and vegetation transpiration are all sourced and mediated by the same well mixed water reservoir—the soil (Romano et al., 2013). Indeed, a main tenant of forest and irrigation hydrology is that vegetation transpires water that would otherwise form streamflow and feed groundwater within a well-mixed subsurface reservoir. This vision has been recently and fundamentally challenged by a number of studies (Brooks et al., 2010; Penna et al., 2013; Good et al., 2015), which have shown evidence of eco-hydrological separation (the “two water world hypothesis”, McDonnell et al., 2014) —meaning that the soil water that supplies vegetation transpiration is isolated from the water that recharges groundwater and replenishes streamflow. Evaristo et al. (2015) provides widespread evidence of eco-hydrological separation across different biomes by using hydrogen and oxygen isotopic data. The lack of water exchange between soil pools questions previous conceptualizations and analyses of water-cycle processes (see Jasechko et al., 2013, for example), because it implies that methods for studying water partitioning that use measurements of isotope tracers in streams may be blind to the part of the soil-water balance that involves vegetation and soil evaporation.

These first studies delineate novel research lines because suggest a well compartmentalized eco-hydrological system, and indicate that vegetation uses, at least under some conditions, more tightly bound soil water than easily mobile soil water. Given that water moves through plants via gradients of water potential, the use of more tightly bound water, energetically more difficult to obtain, remains counterintuitive (Cassiani et al., 2015). Testing this ‘two water worlds (2WW) hypothesis’ represents therefore a grand challenge in hydrology (McDonnell, 2014; Good et al., 2015; Bowen, 2015) and would advance our understanding of relevant soil-vegetation-atmosphere feedbacks which shape hydrological fluxes and water availability under the impact of environmental changes.


References

Bowen G., 2015: Hydrology: The diversified economics of soil water. Nature, 525 (7567), 43-44.

Brooks R. et al., 2010: Ecohydrologic separation of water between trees and streams in a Mediterranean climate. Nature Geoscience, 3:100–104.

Cassiani G. et al., 2015: Monitoring and modelling of soil-plant interactions: The joint use of ERT, sap flow and eddy covariance data to characterize the volume of an orange tree root zone. Hydrology and Earth System Sciences, 19 (5), 2213-2225.

Evaristo J. et al., 2015: Global separation of plant transpiration from groundwater and streamflow. Nature, 525, 91-94.

Good S.P. et al., 2015: Hydrologic connectivity constrains partitioning of global terrestrial water fluxes. Science, 349 (6244), 175-177.

Jasechko, S., Sharp, Z.D., Gibson, J.J., Birks, S.J., Yi, Y., Fawcett, P.J., 2013: Terrestrial water fluxes dominated by transpiration. Nature, 496, 347-350.

McDonnell J. J., 2014. The two water worlds hypothesis: eco-hydrological separation of water between streams and trees? WIREs Water 2014.

Penna D. et al., 2013. Tracing the water sources of trees and streams: isotopic analysis in a small pre-alpine catchment. Proc. Env. Sci., 19, 106 - 112.

Romano N. et al., 2013: Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes. Hydrology and Earth System Sciences, 15, 3877-3893.

2 - Some of the methodology

The main goal of WATER-MIX is to advance the understanding of water partitioning and mixing within the Earth Critical Zone (CZ) by testing hypotheses of eco-hydrological separation of vegetation water use. For this, WATER-MIX will couple advanced isotopic, geophysical and micro-meteorological monitoring with detailed eco-hydrological models, and will particularly focus on the implications for water flow partitioning and water availability in the Mediterranean area. The investigation will sample across a transect of climatic, vegetation and elevation gradients, including both forested and agricultural ecosystems. Finally, the proposal will develop a framework to translate novel CZ knowledge into evidence to support water/land use policy and management decisions.

We define the following three key objectives for the project:
1) advancing the monitoring of water exchange and partitioning across the CZ by using integrated high-resolution isotopic, geophysical and hydro-meteorological measurements from point to catchment scale;
2) coupling the high-resolution CZ data set with eco-hydrological models at multiple scales to test hypotheses of i) eco-hydrological separation of vegetation water use , ii) residence time distribution and iii) energy partitioning across the CZ; 3) developing a framework to translate the new CZ-hydrology knowledge into evidence to support policy and management decisions concerning water and land use in forested and agricultural ecosystems.

2.2 The Critical Zone Observatories Network

The Project Critical Zone Observatories Network (CZN) includes five field sites (Fig. 1) which will provide a coherent access to different climatic, hydrological and ecological conditions which are representative of the Mediterranean and Alpine-Mediterranean environments. The CZN includes humid areas where vegetation water use and precipitation input are in phase, wet zones where seasonality of precipitation is low, and dry zones where water stress is high. Both forested and agricultural land use are represented in the CZN. Each CZ Observatory (CZO) involves co-located research to be conducted by interdisciplinary teams. The suite of measurements includes stable isotopic measurements, geophysical determination of soil water spatial distribution, land-atmosphere exchange of water, and linkages to the biosphere, surface and ground water systems. The CZOs are described in Section 3.

2.3 Structure of the work

To implement the project work, five WPs are defined and linked through a continuous exchange of information, with WP1 dedicated to the project management and dissemination of results. WP2 will develop a homogeneous protocol to integrate isotopic and geophysical observations with hydro-meteorological monitoring at various spatial scales to characterize water partitioning and balance across CZN. WP3 aims (i) at advancing isotope monitoring of vegetation and soil waters in order to help the identification of water pools and mixing processes and (ii) developing and implementing high-resolution, minimally invasive geophysical approaches to soil moisture content distributions, across the CZN. WP4 will couple the high-resolution CZN data set generated by WP2 and 3 with eco-hydrological models at multiple scales to test hypotheses of i) eco-hydrological separation of vegetation water use, ii) residence time distribution and iii) energy partitioning across the CZ. WP5 will develop a framework to translate the new CZ-hydrology knowledge into evidence to support policy and management decisions concerning water and land use in forested and agricultural ecosystems.

Thursday, June 13, 2019

The WATZON project

We had financed (small financial support indeed) a PRIN project called WATZON (WATer mixing in the critical ZONe: observations and predictions under environmental changes). It was reborn on the ashes of the Water MIX and PRECISE projects and its short description is:

"Sustainable land and water resources management is inextricably linked to a detailed knowledge of water availability in the critical zone (CZ), which is the thin outer layer of the Earth extending from the top of the tree canopy to the bottom of water aquifers, and that controls water quality and quantity, sustaining human activity. The CZ is experiencing ever-increasing pressure due to growth in human population and water demands, and changing climatic conditions. Understanding, predicting and managing intensification of water use and associated economic services in the CZ, while mitigating and adapting to rapid climate change and biodiversity decline, is now one of the most pressing societal challenges of the 21st century. Vegetation is a fundamental element of the CZ, as connects water from different storages in the subsurface zone with water in the lower atmosphere, therefore regulating water fluxes among different compartments of the CZ. Several studies in the last years have examined water mixing processes in the soil-vegetation-atmosphere system. However, because of the large spatio-temporal variability of subsurface water movement and the capability of plants to access water from both deep and shallow sources, and the resulting highly-complex feedbacks in water exchanges between vegetation and other ecohydrological compartments, fundamental scientific questions on the effect of vegetation on the hydrological cycle, especially under different climatic forcing and land-use conditions, remain unanswered.
The main objective of the project WATZON (WATer mixing in the critical ZONe: observations and predictions under environmental changes) is to advance the understanding of water mixing in the CZ by investigating ecohydrological processes of water exchange between vegetation and surface and subsurface water compartments."

There is a OSF website for the project here.

Specifically, the project aims at:
  1. assessing the description of water mixing process across the CZ by using integrated high-resolution isotopic, geophysical and hydrometeorological measurements from point to catchment scale, under different physiographic conditions and climate forcing;
  2. testing water exchange mechanisms between subsurface reservoirs and vegetation, and to assess ecohydrological dynamics in different environments by coupling the high-resolution data set from different CZ study sites of the project consortium with advanced ecohydrological models at multiple spatial scales;
  3. developing a process-based conceptual framework of ecohydrological processes in the CZ to translate scientific knowledge into evidence to support policy and management decisions concerning water and land use in forested and agricultural ecosystems.

The project objectives will be achieved by integrating different methodological tools, such as environmental tracers (isotopes of hydrogen and oxygen), advanced geophysical measurements and detailed ecohydrological models, to develop an interdisciplinary and holistic comprehension of ecohydrological dynamics under different climatic forcing and land use conditions. 
The project will create a new network of study sites in Italy (Critical Zone study sites) representative for different climatic, physiographic and vegetation conditions in the Mediterranean area, including grassland, forested and agricultural ecosystems. High-resolution and detailed experimental data and observations will be collected in a consistent way across all study sites in order to identify water pools potentially involved in ecohydrological water exchanges and fine-study root water uptake dynamics. The high-quality data collected in the field and the experimental results will serve as a basis to implement and apply new-generation, robust, reliable and realistic ecohydrological models aiming at assessing water mixing and exchange mechanisms between subsurface reservoirs, vegetation and atmosphere at the root-plant scale and the stand and catchment scale. Models will be used also to develop scenario-based projections for assessing the impact of land-use change on ecosystem services under different climatic and environmental conditions. 
In addition to the foreseen significant advancement of scientific research on water mixing processes in the CZ, the other main impact of WATZON will regard the communication with stakeholders and interaction with the civil society. Involvement of the most relevant stakeholders (e.g., water agencies, river basin authorities, reclamation and irrigation districts, government agencies for forest management and protection, national parks, municipalities and regional councils) will allow to translate the acquired scientific knowledge into practices to support effective and sustainable land and water resources management across a variety of climate and physiographic settings.

Our specific efforts, in which I will work with Giacomo Bertoldi (GS) and Giuseppe Formetta will be using the Mastch-Mazia Valley measurements made by EURAC and improve its dataset and, at the same time, lead WP3 of the project: Testing water mixing mechanisms through ecohydrological modelling 

WP3 will use data and experimental results provided by the activities  to test, implement and apply robust, reliable and realistic (R3) ecohydrological models aiming at assessing water mixing and exchange mechanisms between surface, subsurface reservoirs, vegetation and atmosphere within the CROSSes. Particularly, the models will be applied at three main scales: i) the scale of the roots-stems-leaves apparatus, to analyse vegetation water uptake dynamics and their possible switches over time; ii) the stand and iii) catchment scale, to examine how plant water use affects streamflow generation within different ecohydrological regimes. The starting set of models for the project is composed by GEOtop-dv, JGrass-NewAge (JN), now called GEOframe.

Task 3.1.This task will model ecohydrological processes. Soil water flow will be modelled through 3D Richards equation, with improved parameterizations of soil water retention curves, hydraulic conductivity and treatments of hydraulic conductivity. Interaction between water and roots will be implemented. New schemes of plants hydraulics will be implemented to obtain the partition between evaporation and transpiration. Energy and the carbon budget will be modeled to properly constraint the transpiration production. Tools for accounting for water age, and tracers concentration, will be coupled to the new modules of GEOtop and GEOframe. New gridding and numerics will be devised to mimic the experiments and measurements domains.

Task 3.2. This task will couple field data and ecohydrological models at the root-stem-plant volume scale. Along with the 3D simulations, 1D models will be used. Fluxes will be analysed both in time domain and estimating residence and travel time to cope with tracers at integrated soil-plant scale. These results will be compared with those identified by isotope data and geophysical measurements in project's catchments.

Task 3.3. This task will couple field data and ecohydrological models at the stand and catchment scale. New models of plants communities functioning based on plant functional traits and optimality principles will be introduced, along with the more mechanistic ones. The model results will be compared in CRitical zOne Study Sites –(CROSSes) 2, 4, 5 and 6 against isotope data.

WP3 provide the following deliverables.
  • Deliverable 3.1: New improved components of the models GEOtop and GEOframe and their documentation at the end of each project’s year (version +1,+2,+3).
  • Deliverable 3.2: Case studies will be provided for all the experimental sites, using the various versions of the model components. All the material for the simulation will be provided to the research community online by Open Science Framework.

Sunday, March 10, 2019

If you want to study the Critical Zone of hillslopes, start from here

Recently a paper by Fan et al,  Hillslope Hydrology in Global Change Research and Earth System Modeling,  was published on  Water Resources Research, 85(3), 319–36. At the beginning I was thinking: "Hey, here it is another of those review papers which do not add anyhing to the existing literature".  This is not actually the case. The paper  is a very good introduction to many issues related to the Critical zone and its modelling and a source of relevant literature, of which I give an excerpt below.  The paper is open access and therefore you do not need any subscription to get it.


References


Sunday, January 24, 2016

Fifty Years of Water Resources Research

Water Resources Research has fifty years. Incredibly I spent half of its life with it, finding in this journal a constant source of quality and information. They celebrated the fifty years with a special issue where many protagonists of these years produced their views on the field. All was introduced by Alberto Montanari and the Editors of the Journal who I cited verbatim below (in italics).

The collection of contributions dedicated to the fiftieth Anniversary of Water Resources Research is organized in three chapters:

1. The legacy of hydrological sciences, which includes 12 papers.
2. Water processes interpretation and modeling, including 21 contributions.
3. Water resources, society, and water threats, including 23 papers.
Contributions are also indexed according to a classification of their main subject. The following subject areas were identified:
1. Critical zone and ecohydrology (6 papers).
2. Fluvial systems and hyporheic zone (10 papers).
3. Global hydrology, change and human impact (7 papers).
4. Groundwater flow and contaminant transport (5 papers).
5. Groundwater resources (6 papers).
6. Overarching principles, theories, and methods (12 papers).
7. Vadose zone hydrology (2 papers).
8. Water resources and risk management (8 papers).

Clearly all of this, besides summarizing the past are strong endorsement on the future way the discipline of hydrology can evolve.

Finally the Papers (unfortunately not of them open access):

  • Binley, A., S. S. Hubbard, J. A. Huisman, A. Revil, D. A. Robinson, K. Singha, and L. D. Slater (2015), The emergence of hydrogeophysics for improved understanding of subsurface processes over multiple scales, Water Resour. Res., 51, 3837–3866, doi:10.1002/2015WR017016.
  • Birdsell, D. T., H. Rajaram, D. Dempsey, and H. Viswanathan (2015), Hydraulic fracturing fluid migration in the subsurface: A review and modeling results, Water Resour. Res., 51, doi:10.1002/2015WR017810.
  • Bras, R. L. (2015), Complexity and organization in hydrology: A personal view, Water Resour. Res., 51,6532–6548, doi:10.1002/2015WR016958.
  • Brooks, P. D., J. Chorover, Y. Fan, S. E. Godsey, R. M. Maxwell, J. P. McNamara, and C. Tague (2015),Hydrological partitioning in the critical zone: Recent advances and opportunities for developing transferrable understanding of water cycle dynamics, Water Resour. Res., 51, doi:10.1002/2015WR017039.
  • Brown, C. M., J. R. Lund, X. Cai, P. M. Reed, E. A. Zagona, A. Ostfeld, J. Hall, G. W. Characklis, W. Yu, and L. Brekke (2015), The future of water resources systems analysis: Toward a scientific framework for sustainable water management, Water Resour. Res., 51, 6110–6124, doi:10.1002/2015WR017114.
  • Burt, T. P., and J. J. McDonnell (2015), Whither field hydrology? The need for discovery science and outrageous hydrological hypotheses, Water Resour. Res., 51, 5919–5928, doi:10.1002/2014WR016839.
  • Celia, M. A., S. Bachu, J. M. Nordbotten, and K. W. Bandilla (2015), Status of CO2 storage in deep saline aquifers with emphasis on modeling approaches and practical simulations, Water Resour. Res., 51, doi:10.1002/2015WR017609.
  • Ceola, S., F. Laio, and A. Montanari (2015), Human-impacted waters: New perspectives from global high resolution monitoring, Water Resour. Res., 51, doi:10.1002/2015WR017482.
  • Clark, M. P., et al. (2015), Improving the representation of hydrologic processes in Earth System Models,Water Resour. Res., 51, 5929–5956, doi:10.1002/2015WR017096.
  • Condon, L. E., and R. M. Maxwell (2015), Evaluating the relationship between topography and groundwater using outputs from a continental-scale integrated hydrology model, Water Resour. Res., 51,6602–6621, doi:10.1002/2014WR016774.
  • Doyle, M. W., J. Singh, R. Lave, and M. M. Robertson (2015), The morphology of streams restored for market and nonmarket purposes: Insights from a mixed natural-social science approach, Water Resour. Res., 51, 5603–5622, doi:10.1002/2015WR017030.
  • Fiori, A., A. Bellin, V. Cvetkovic, F. P. J. de Barros, and G. Dagan (2015), Stochastic modeling of solute transport in aquifers: From heterogeneity characterization to risk analysis, Water Resour. Res., 51,6622–6648, doi:10.1002/2015WR017388.
  • Foufoula-Georgiou, E., Z. Takbiri, J. A. Czuba, and J. Schwenk (2015), The change of nature and the nature of change in agricultural landscapes: Hydrologic regime shifts modulate ecological transitions, Water Resour. Res., 51, 6649–6671, doi:10.1002/2015WR017637.
  • Harvey, J., and M. Gooseff (2015), River corridor science: Hydrologic exchange and ecological consequences from bed forms to basins, Water Resour. Res., 51, doi:10.1002/2015WR017617.
  • Hipsey, M. R., D. P. Hamilton, P. C. Hanson, C. C. Carey, J. Z. Coletti, J. S. Read, B. W. Ibelings, F. Valesini, and J. D. Brookes (2015), Predicting the resilience and recovery of aquatic systems: A framework for model evolution within environmental observatories, Water Resour. Res., 51, doi:10.1002/2015WR017175.
  • Lettenmaier D. P., D. Alsdorf, J. Dozier, G. J. Huffman, M. Pan, and E. F. Wood (2015), Inroads of remote sensing into hydrologic science during the WRR era, Water Resour. Res., 51, doi:10.1002/2015WR017616.
  • Mande, T., N. C. Ceperley, G. G. Katul, S. W. Tyler, H. Yacouba, and M. B. Parlange (2015), Suppressed convective rainfall by agricultural expansion in southeastern Burkina Faso, Water Resour. Res., 51,5521–5530, doi:10.1002/2015WR017144.
  • McKnight, D. M., K. Cozzetto, J. D. S. Cullis, M. N. Gooseff, C. Jaros, J. C. Koch, W. B. Lyons, R. Neupauer, and A. Wlostowski (2015), Potential for real-time understanding of coupled hydrologic and biogeochemical processes in stream ecosystems: Future integration of telemetered data with process models for glacial meltwater streams, Water Resour. Res., 51, 6725–6738, doi:10.1002/2015WR017618.
  • Molnar, I. L., W. P. Johnson, J. I. Gerhard, C. S. Willson, and D. M. O'Carroll (2015), Predicting colloid transport through saturated porous media: A critical review, Water Resour. Res., 51, doi:10.1002/2015WR017318.
  • Rajaram, H., J. Bahr, G. Blöschl, X. Cai, D. S. Mackay, A. M. Michalak, A. Montanari, X. Sanchez-Villa, and G. Sander (2015), A reflection on the first 50 years of Water Resources Research, Water Resour. Res., 51, doi:10.1002/2015WR018089.
  • Runkel, R. L. (2015), On the use of rhodamine WT for the characterization of stream hydrodynamics and transient storage, Water Resour. Res., 51, 6125–6142, doi:10.1002/2015WR017201.
  • Troch, P. A., T. Lahmers, A. Meira, R. Mukherjee, J. W. Pedersen, T. Roy, and R. Valdés-Pineda (2015),Catchment coevolution: A useful framework for improving predictions of hydrological change?, Water Resour. Res., 51, 4903–4922, doi:10.1002/2015WR017032.
  • Vereecken, H., J. A. Huisman, H. J. Hendricks Franssen, N. Brüggemann, H. R. Bogena, S. Kollet, M. Javaux,J. van der Kruk, and J. Vanderborght (2015), Soil hydrology: Recent methodological advances, challenges, and perspectives, Water Resour. Res., 51, 2616–2633, doi:10.1002/2014WR016852.

Thursday, August 28, 2025

STRADIVARI Project II: Atmospheric Boundary Layer (ABL) Dynamics

Back to index <----

The equations modeling the ABL are extensively covered under various aspects (Stull, 1988; Yin and Porporato, 2022, Honnert at al., 2020; Canché-Cab et al., 2024) and implemented in various software. However, the interaction between soil moisture, land surface fluxes, and convection initiation, leading to rainfall, remains challenging (Dirmeyer et al., 2006; Koster et al., 2004; Santanello et al., 2007). This stems from the complexity of the Soil-Plant-Atmosphere Continuum interactions across multiple spatial and temporal scales. The ABL, influenced by mechanical and thermal turbulence, links surface processes with synoptic phenomena, while plant physiology regulates sensible and latent heat fluxes. These fluxes affect the energy needed for convection and ABL growth, as well as the transfer of water vapor from the root zone to the atmosphere and determine the Lifting Condensation Level (LCL) (Siqueira et al., 2009; Cuxart et al., 2020), and its intersection with the ABL, critical for rainfall initiation. The height of this crossing, visible as cloud base, highlights the soil-plant system's control over hydrological self-regulation, which implies that drier soils may increase sensible heat flux, enhancing convection and raising ABL depths, thus elevating the likelihood of ABL-LCL crossing and rainfall, an example of negative feedback. Conversely, reduced latent heat flux can lower ABL water vapor concentration, raising the LCL above the ABL, leading to sustained dry conditions, exemplifying positive feedback.

Stradivari's Hellier

Beyond the conceptual framework, a critical implementation challenge emerges from the fundamental mismatch between hydrological and atmospheric process scales and their characteristic timescales. Figure below illustrates the multi-scale coupling mechanisms central to STRADIVARI, adapted from Miralles et al. (2025). 

Vegetation controls surface energy, water, and carbon fluxes at local scales through processes governed by soil moisture dynamics and groundwater table fluctuations. These surface controls propagate to the atmosphere via turbulent fluxes, driving convective and mechanical instability that alters the diurnal evolution of the atmospheric boundary layer (ABL). The ABL growth dynamics regulate moisture and heat entrainment processes, determining the lifting condensation level (LCL) and subsequent convective cloud formation—the critical link between local surface processes and regional precipitation patterns. While contemporary atmospheric models can resolve these multi-scale interactions, their representation of surface phenomena remains heavily parameterized, obscuring the mechanistic coupling that STRADIVARI seeks to capture. 

Critical Gap: Current Land Surface Models rely predominantly on bulk aerodynamic formulations and Monin-Obukhov Similarity Theory parameterizations that treat the ABL as a prescribed boundary condition rather than solving governing transport equations (Santanello et al., 2018). PLUMBER-2 analysis shows systematic LSM failures in water-limited regions where soil-plant coupling becomes critical, while TRENDY simulations reveal persistent discrepancies in vegetation-atmosphere CO2 exchange (Friedlingstein et al., 2023). These failures stem from models using parameters as "garbage collectors" (sensu Beven, 2006) rather than physically meaningful quantities corresponding to independently measurable soil, plant, and atmospheric properties. The most widespread conceptual framework in treating these issues reduces the SPAC complexity to an electrical circuit analogy (Monson & Baldocchi, 2015; Bonan, 2019), conflating aerodynamic transport, physiological regulation, and soil physics into parameterized "resistances" that obscure actual mechanisms at play. While full resolution of precipitation recycling mechanisms remains beyond current capabilities, the hydrological modeling community lacks tools to explore even minimal surface-atmosphere processes complexity.

STRADIVARI innovation: Rather than claiming to resolve precipitation recycling, STRADIVARI deconstructs the resistance framework by resolving atmospheric turbulence through governing equations rather than parameterizations. This allows temperature, wind velocity, and humidity profiles to emerge naturally from ABL physics, creating boundary conditions at leaf and soil surfaces that couple directly with plant hydraulic solutions while isolating plant conductance as a purely physiological phenomenon rather than a catch-all for system-level behaviors we fail to resolve mechanistically. The approach bridges the gap between hydrological and micrometeorological communities, providing tools for collaborative investigation of coupled processes at scales where both communities can contribute observational constraints and process understanding. STRADIVARI addresses this challenge by starting the implementation of hierarchical ABL modeling framework with four levels of increasing complexity: The framework implements a hierarchical ABL approach: (1) Wood (2000) statistical-dynamical corrections for basic terrain effects, (2) spectral methods for turbulent scalar transport following Katul et al. (2011) and Poggi et al. (2004), (3) multi-scale atmospheric boundary layer modeling incorporating canopy-atmosphere interactions (Finnigan et al., 2009; Brunet & Irvine, 2000), and (4) machine learning-enhanced parameterizations for complex terrain effects (Cheng et al., 2021; Rasp et al., 2018). Validation against Alpine meteorological stations determines minimum complexity required for meaningful surface-atmosphere coupling.

References - Atmospheric Boundary Layer

  • Anderson, M. C., et al. 2003. "A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales." Remote Sensing of Environment 90(4): 521-531.
  • Best, M. J., et al. 2015. "The Plumbing of Land Surface Models: Benchmarking Model Performance." Journal of Hydrometeorology 16(3): 1425-42.
  • Beven, Keith. 2006. "A Manifesto for the Equifinality Thesis." Journal of Hydrology 320(1-2): 18-36.
  • Bonan, Gordon. 2019. Climate Change and Terrestrial Ecosystem Modeling. Cambridge University Press.
  • Brunet, Y., and M. R. Irvine. 2000. "The Control of Coherent Eddies in Vegetation Canopies." Boundary-Layer Meteorology 94(1): 139-63.
  • Canché-Cab, Linda, et al. 2024. "The Atmospheric Boundary Layer: A Review of Current Challenges and a New Generation of Machine Learning Techniques." Artificial Intelligence Review 57(12).
  • Cheng, Y. 2021. "Machine Learning Methods Turbulence Modeling Atmospheric Boundary Layer Flows." Physics Fluids 33.
  • Cuxart, Joan, et al. 2020. "Current Challenges in Evapotranspiration Determination, GEWEX News."
  • Dirmeyer, Paul A., et al. 2006. "GSWP-2: Multimodel Analysis and Implications for Our Perception of the Land Surface." Bulletin of the American Meteorological Society 87(10): 1381-98.
  • Finnigan, John J., Roger H. Shaw, and Edward G. Patton. 2009. "Turbulence Structure above a Vegetation Canopy." Journal of Fluid Mechanics 637: 387-424.
  • Foken, Thomas. 2006. "50 Years of the Monin–Obukhov Similarity Theory." Boundary-Layer Meteorology 119(3): 431-47.
  • Friedlingstein, Pierre, et al. 2023. "Global Carbon Budget 2023."
  • Honnert, Rachel, et al. 2020. "The Atmospheric Boundary Layer and the 'Gray Zone' of Turbulence: A Critical Review." Journal of Geophysical Research Atmospheres 125(13).
  • Jiménez, Pedro A., et al. 2012. "A Revised Scheme for the WRF Surface Layer Formulation." Monthly Weather Review 140(3): 898-918.
  • Katul, Gabriel G., et al. 2011. "A mixing-layer theory for flow resistance in shallow streams." Water Resources Research 47(11).
  • Koster, Randal D., et al. 2004. "Regions of Strong Coupling between Soil Moisture and Precipitation." Science 305(5687): 1138-40.
  • Lawrence, David M., et al. 2019. "The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty." Journal of Advances in Modeling Earth Systems 11(12): 4245-87.
  • Miralles, Diego G., et al. 2025. "Vegetation-Climate Feedbacks across Scales." Annals of the New York Academy of Sciences 1544(1): 27-41.
  • Monson, Russell, and Dennis Baldocchi. 2015. Terrestrial Biosphere-Atmosphere Fluxes. Cambridge University Press.
  • Poggi, D., G. G. Katul, and J. D. Albertson. 2004. "A Note on the Contribution of Dispersive Fluxes to Momentum Transfer within Canopies." Boundary-Layer Meteorology 111(3): 615-21.
  • Rasp, Stephan, Michael S. Pritchard, and Pierre Gentine. 2018. "Deep Learning to Represent Subgrid Processes in Climate Models." Proceedings of the National Academy of Sciences 115(39): 9684-89.
  • Santanello, Joseph A., et al. 2018. "Land–Atmosphere Interactions: The LoCo Perspective." Bulletin of the American Meteorological Society 99(6): 1253-72.
  • Siqueira, Mario, Gabriel Katul, and Amilcare Porporato. 2009. "Soil Moisture Feedbacks on Convection Triggers." Journal of Hydrometeorology 10(1): 96-112.
  • Stull, R. B. 1988. An Introduction to Boundary Layer Meteorology. Kluwer Academic Publishers.
  • Wood, Eric F., et al. 2011. "Hyperresolution Global Land Surface Modeling: Meeting a Grand Challenge for Monitoring Earth's Terrestrial Water." Water Resources Research 47(5).
  • Yin, Jin, and Amilcare Porporato. 2022. Ecohydrology: Dynamics of Life and Water in the Critical Zone. Cambridge University Press.