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• Meeting:Abstract 2013 CSDMS meeting-024  + (When we build models we create worlds that … When we build models we create worlds that we hope will inform us about the world in which we live. We hope models will help us understand processes, causes and effects; avoid difficulties; benefit human endeavors; and accommodate and nurture the ecology which has its own beauty and importance, and upon which human existence and our economy depend. Here we discuss how models can be used to achieve these goals by considering the importance of transparency (revealed importance) and refutability (tested hypotheses). We consider models with substantial execution times (for our example one model run requires 20 minutes) and transparency and refutability available using computationally frugal methods. Challenges of using these methods include model nonlinearity; non-Gaussian errors and uncertainties in observations, parameters, and predictions; and integrating information from multiple data types and expert judgment. A synthetic test case illustrates the importance of transparency and refutability in model development. The test case represents transport of an environmental tracer (cfc) and contaminant (pce) in a groundwater system with large-scale heterogeneities. Transparency is served by identifying important and unimportant parameters and observations. The frugal methods identified consistently important and unimportant parameters for three sets parameters for which sum of squared weighted residuals (SOSWR; dimensionless; constructed with error-based weighting) varies between 5606 and 92. Observations important to the parameter values are largely consistent, but the order varies for results using different parameter values because of model nonlinearity. For each set of parameters these results required 17 model runs. Refutability is served by estimating parameter values that minimize SOSWR and evaluating resulting model fit and parameter values. The computationally frugal parameter-estimation method reduced SOSWR from 5606 to 92, displayed no evidence of local minima, and required about 100 model runs each of the 10 times it was executed. The similar important parameters and observations for different parameter sets and performance of parameter estimation suggest the utility of the computationally frugal methods even for models as nonlinear as the one considered here. The value of the kinds of insights gained in this work is highlighted by the 10,000s to 1,000,000s of model runs being conducted in many studies to obtain them. conducted in many studies to obtain them.)
• Meeting:Abstract 2013 CSDMS meeting-071  + (While many researchers have mapped and tra … While many researchers have mapped and tracked coastal erosion in the Yellow River Delta, determining its cause has proven nearly impossible, because myriad natural and anthropogenic processes are simultaneously affecting the delta. These processes include reduced sediment supply, reduced river discharge, changing tide and current patterns, new seawalls, groundwater withdrawal, substrate compaction, oil extraction, burgeoning urban centers, and rising sea level. Here, we use Interferometric Synthetic Aperture Radar (InSAR) to map surface deformation in the delta between the years 2007 and 2011. We find that rapid, localized subsidence of up to 22 cm/y is occurring along the coast, apparently related to groundwater extraction at aquaculture facilities. This finding has important consequences for the sustainability of the local aquaculture industry. Similar subsidence may also be occurring in deltas like the Mekong, though these signals may be difficult or impossible to measure.may be difficult or impossible to measure.)
• 2025 CSDMS meeting-101  + (While the findability, accessibility, inte … While the findability, accessibility, interoperability, and reusability (FAIR) principles have been well-established for data, their application to research software (RS) remains inconsistent across disciplines. Research software is essential to advancing our understanding of Earth systems, however without agreement and consistent application of FAIR principles, sharing, reproducing, or expanding on scientific results is challenging. Aligning research software with FAIR principles enhances their impact and ensures long-term usability. Numerous frameworks exist (e.g. FAIR4RS, FAIRShare, Howfairis, FAIRSoft Evaluator) and leverage a wide range of approaches, ranging from questionnaires to semi-automated workflows. Each of these efforts has systematic gaps that hinder practical implementation, and due to the fragmentation of these efforts and lack of adoption of standards, it is challenging to combine them into a more complete solution. Our work addresses this by first evaluating these existing frameworks, identifying strengths and limitations, and developing methodologies to improve the assessment and adoption of FAIR principles in hydrology-specific research software. In doing so, we aim to address three key questions: 1) How can domain-specific knowledge shape community adoption of FAIR4RS principles? 2) What are the critical metadata components needed to enhance FAIR4RS compliance in the hydrologic sciences? 3) How can automated tools and technologies facilitate FAIR4RS assessments and provide actionable recommendations for improving FAIR4RS compliance? In this work, we establish a methodology for representing FAIR principles in community-adopted, structured, metadata representations such as Schema.Org and CodeMeta that builds on the aforementioned efforts. We evaluate our approach on community model repositories using a lightweight Python framework that quantifies the FAIR alignment of community-developed research software within the water science community. This enables automated assessment of FAIR principles and generates a quality compliance report that helps identify gaps in metadata representation. By aligning our work with ongoing efforts from the Open Modeling Foundation, community metadata standards groups, and academic research, we offer methods for aligning and evaluating the FAIRness of research software in an extensible manner that can be adopted across multiple science domains.e adopted across multiple science domains.)
• 2025 CSDMS meeting-037  + (Wildfires occur across diverse terrestrial … Wildfires occur across diverse terrestrial landscapes and are widely studied for their socio-economic consequences. However, their role in triggering erosion and controlling sediment dynamics is less well understood. Wildfires reduce canopy and ground cover, disrupting soil infiltration capacity, thus increasing erosion by runoff and channel incision. Wildfire-induced erosion can change soil depth, possibly exposing less weathered material and increasing soil production rates. Despite extensive research into the effects of fire on hydrological and geomorphic processes, studies examining how wildfire-induced changes in soil production rates influence catchment-wide sediment fluxes are still lacking. Here, we propose to use the Landlab modeling framework to explore how wildfire regimes and soil production interact to control sediment mobilization in a landscape. Pulses of sediment can be triggered after a single fire, however, in areas with frequent wildfires, sediment supply may be limited by soil production, controlling the transition from soil-mantled to bedrock landscapes. We investigate how different wildfire regimes influence sediment production and transport over decadal to millennial timescales. We expect our modeling results to help quantify how soil production rates respond to different wildfire regimes, shaping sediment dynamics and ultimately controlling overall soil thickness.mately controlling overall soil thickness.)

• 2023 CSDMS meeting-041  + (Will be sent before April 01, 2023)

• 2018 CSDMS meeting-069  + (Wind-swept snow self-organizes into bedfor … Wind-swept snow self-organizes into bedforms. These bedforms affect local and global energy fluxes, but have not been incorporated into Earth system models because the conditions governing their development are not well understood. We created statistical classifiers, drawn from 736 hours of time-lapse footage in the Colorado Front Range, that predict bedform presence as a function of windspeed and time since snowfall. These classifiers provide the first quantitative predictions of bedform and sastrugi presence in varying weather conditions.<br>The flat snow surfaces we saw were all short-lived. The probability that a surface remained flat, rather than bedform-covered, decreased with time and with the average shear stress exerted on the surface by the wind.<br>The most persistent snow features were an erosional bedform known as sastrugi. The likelihood that a surface was covered by sastrugi increased with time and with the highest wind speeds experienced by the surface.<br>These results identify the weather variables which have the strongest effect on snow surfaces. We expect that these variables will inform and feature in future process-based models of bedform growth. Our observations therefore represent a first step towards understanding a self-organized process that ornaments 8% of the surface of the Earth.nized process that ornaments 8% of the surface of the Earth.)
• Annualmeeting:2017 CSDMS meeting-019  + (Woody Plant Encroachment (WPE), an increas … Woody Plant Encroachment (WPE), an increase in density, cover and biomass of trees or shrubs in native grasslands, has been observed to be a major cause for dramatic changes in arid and semiarid grasslands of southwestern US over the last 150 years. Driven by overgrazing, reduced fire frequency, and climate change, WPE is considered as a major form of desertification. In Landlab, ecohydrologic plant dynamics, wildland fires, grazing, and resource distribution (erosion/deposition) are represented in separate components. Landlab has two existing cellular automata Ecohydrology models, built using these components, to study the impacts of WPE on the evolution of vegetation patterns. In the first model, physically based vegetation dynamics model is used to simulate biomass production based on local soil moisture and potential evapotranspiration driven by daily simulated weather, coupled with a cellular automata plant establishment and mortality rules. In this model, spatial dynamics of disturbance propagation (e.g., fire spread and intensity) is not explicitly modeled. In the second model, a simple stochastic cellular automata model with two state variables, vegetation cover and soil resource storage, are used to model resultant vegetation patterns based on probabilistic establishment-mortality interplay, mediated by post-disturbance resource redistribution, while explicit roles of climate are neglected. In this work, we coupled these two models to investigate the role of disturbances (fire and grazing) in a climate driven dynamic ecohydrologic context. In this coupled model, daily- weather driven physically based vegetation dynamics model is coupled with cellular automata plant establishment model that explicitly simulates spatial disturbance dynamics. The effects of encroachment factors and model complexity on resultant vegetation patterns are studied.resultant vegetation patterns are studied.)
• 2020 CSDMS meeting-046  + (tbd)