Form:CSDMS annual meeting

CSDMS 2014 Annual Meeting
Uncertainty and Sensitivity in Surface Dynamics Modeling

May 20 - 22, 2014, Boulder Colorado, USA

Optional May 23^rd: Post-meeting Software Bootcamp

Registration

The online conference registration is a three step process:

Step 1: Log in	Log in (or create account for non-CSDMS members) Forgot username? Search or email:CSDMSweb@colorado.edu
Step 2: Register	Start registration
Step 3: Pay registration fee ($200) or $240 when including Post-meeting Software Bootcamp Third party website

Note 1: You only are successfully registered by fulfilling the above steps
Note 2: Do you want to make changes to you abstract?

1. Log in.
2. Select your registration record in "participants" and start making changes by clicking "Edit registration".

Objectives and general description

The CSDMS Meeting 2014 will bring Uncertainty and Sensitivity in Surface Dynamics Modeling to your attention.

The meeting includes: 1) State-of-the art keynote presentations in earth-surface dynamics and modeling; 2) Hands-on clinics related to community models, tools and approaches; 3) Transformative software products and approaches designed to be accessible, easy to use, and relevant; 4) Breakout sessions for Working, Focus Research Groups and the Initiatives ; 5) Poster Sessions; and more.

Poster Information: The poster boards are configured for 4' wide by 6' tall (portrait orientation) posters. The deadline to submit abstracts is April 1, 2014.

Invited Keynote speakers

Tom Hsu University of Delaware {{{participants}}}

Understanding wave-driven fine sediment transport through 3D turbulence resolving simulations – implications to offshore delivery of fine sediment

Tian-Jian Hsu (Tom), Associate Professor Center for Applied Coastal Research, Civil & Environmental Engineering University of Delaware, Newark, DE 19716, USA One of the most intriguing issues in fine sediment transport, including turbidity currents, current-driven transport and wave-driven transport, is that the presence of sediments may significantly attenuate flow turbulence. Depending on the level of turbulence suppression, it may lead to the formation of lutocline (a sharp negative gradient of sediment concentration) which further encourages offshore-directed gravity flow; or it may cause catastrophic collapse of turbulence and sediment deposition. Through idealized 3D turbulence-resolving simulations of fine sediment (mud) transport in wave bottom boundary layer based on a pseudo-spectral scheme, our recent studies show that the transition of these flow modes can be caused by various degree of sediment-induced stable density stratification. This effort demonstrates the success of using a turbulence-resolving simulation tool to diagnose complex fine sediment transport processes. This talk further reports our recent development of this turbulence-resolving numerical model with a goal to provide a predictive tool for more realistic fine sediment transport applications. Assuming a small Stokes number (St<0.3), which is appropriate for typical fine sediment, the Equilibrium approximation to the Eulerian two-phase flow equations is applied. The resulting simplified equations are solved with a high-accuracy hybrid spectral-compact finite difference scheme. The numerical approach extends the earlier pseudo-spectral model with a sixth-order compact finite difference scheme in the bed-normal direction. The compact finite difference scheme allows easy implementation of flow-dependent sediment properties and complex bottom boundary conditions. Hence, several new capabilities are included in the numerical simulation, such as rheological stress (enhance viscosity in high sediment concentration), hindered settling, erodible/depositional bottom boundary, and higher order inertia terms critical for fine sand fraction. In the past decade, the role of wave bottom boundary layer in delivering fine sediment offshore via wave-supported gravity current (WSGC) has been well-recognized. We hypothesize that the generation, transport and termination of WSGC is directly associated with the flow modes discussed previously. In addition to the well-known Richardson number control (i.e., associated with sediment-induced density stratification), in this talk we will discuss how enhanced viscosity via rheological stress and high erodibility of the mud bed (e.g., low critical shear stress for unconsolidated mud bed) can trigger catastrophic collapse of turbulence and sediment deposition. The significance of bed erodibility in determining the resulting flow modes motivates future study regarding the effect of sand fraction on fine sediment transport via armoring.

Jim McElwaine Durham University (UK) {{{participants}}}

The Dynamics of Granular Flows

Professor of Geohazards Department of Earth Sciences Durham University UK Granular materials are ubiquitous in the environment, in industry and in everyday life and yet are poorly understood. Modelling the behavior of a granular medium is critical to understanding problems ranging from hazardous landslides and avalanches in the Geosciences, to the design of industrial equipment. Typical granular systems contain millions of particles, but the underlying equations governing that collective motion are as yet unknown. The search for a theory of granular matter is a fundamental problems in physics and engineering and of immense practical importance for mitigating the risk of geohazards. Direct simulation of granular systems using the Discrete Element Method is a powerful tool for developing theories and modelling granular systems. I will describe the simulation technique and show its application to a diverse range of flows.

Alexey Voinov Faculty of Geo-Information Science and Earth Observation (ITC) {{{participants}}}

COMPLEX: Knowledge-based climate mitigation systems for a low carbon economy

Peter Koons University of Maine {{{participants}}}

Unifying Tectonics and Surface Processes in Geodynamics

Unifying Tectonics & Surface Processes in Geodynamics Peter Koons, Univ Maine, Earth and Climate Science Orono Maine, United States. peter.koons@maine.edu Phaedra Upton, GNS , new zealand. p.upton@gns.cri.nz Samuel Roy, U Mainel Earth and Climate Science Orono Maine, United States. sgroy27@gmail.com In formulating tectono-geomorphic models of landscape evolution, Earth is typically divided into two domains; the surface domain in which “geomorphic” processes are solved for and a tectonic domain of earth deformation driven generally by differential plate movements. Here we present a single mechanical framework, Failure Earth Response Model (FERM), that unifies the physical description of dynamics within and between the two domains. FERM is constructed on the two, basic assumptions about the three-dimensional stress state and rheological memory: I) Material displacement, whether tectonic or geomorphic in origin, at or below Earth’s surface, is driven by local forces overcoming local resistance, and II) Large displacements, whether tectonic or geomorphic in origin, irreversibly alter Earth material properties enhancing a long term strain memory mapped into the topography. In addition to the gathering of stresses arising from far field tectonic processes, topographic relief, and the inertial surface processes into a single stress state for every point, the FERM formulation allows explicit consideration of the contributions to the evolving landscape of pore pressure fluctuations, seismic accelerations, and fault damage. Incorporation of these in the FERM model significantly influences the tempo of landscape evolution and leads to highly heterogeneous and anisotropic stress and strength patterns, largely predictable from knowledge of mantle kinematics. The resulting unified description permits exploration of surface-tectonic interactions from outcrop to orogen scales and allows elucidation of the high fidelity orogenic strain and climate memory contained in topography.

Elowyn Yager Center for Ecohydraulics, University of Idaho {{{participants}}}

Predictions of bedload transport in vegetated channels: uncertainties and steps forward

Vegetation in river channels and on floodplains alters mean flow conditions, turbulence, sediment transport rates and local sedimentation patterns. Although many advances have been made to predict the impact of vegetation on flow conditions, relatively few studies have investigated how vegetation influences bedload fluxes. We first investigate how known vegetation impacts on flow turbulence can be used to better predict bedload transport and sedimentation within vegetation patches. To elucidate these mechanics we measured 2D velocity fields using PIV and bedload fluxes using high-speed video in simplified flume experiments. We used these laboratory measurements to test and develop bedload transport equations for vegetated conditions. Bedload transport equations did not accurately predict sediment fluxes unless they accounted for the spatial variability in the near-bed Reynolds stress. We then use this patch scale understanding to better predict how vegetation impacts channel morphology. Specifically, we investigate how vegetation influences point bar growth and shape through coupled laboratory experiments and 2D numerical modeling. We measured bedload fluxes, flow conditions and sedimentation rates on a point bar planted with natural vegetation at the Saint Anthony Falls Outdoor Stream Lab. We then calculated the detailed 2D flow field over the point bar throughout imposed flow hydrographs. Our results demonstrate that vegetation caused significant changes in the bar dimensions and depending on the flow level, led to the development of a side channel between the bar and the inner bank of the meander. Such a side channel could precipitate a change in channel morphology to a multi-thread channel. Accurate predictions of sedimentation caused by vegetation patches not only require an estimate of the spatial variation in shear stress (or velocity) within a patch but also how the vegetation alters the adjacent flow field and bedload sediment supply to the patch.

David Pyles Chevron Center of Research Excellence, Colorado School of Mines {{{participants}}}

Testing the efficacy and uncertainty of outcrop- and model-based studies through collaboration: A field geologist’s perspective

David R. Pyles Chevron Center of Research Excellence Department of Geology and Geological Engineering Colorado School of Mines Golden, Colorado Recent technological advances in data collection techniques have yielded opportunities to better quantify stratigraphic stacking patterns, flow processes and sedimentation from outcrops of ancient sediment transport systems. These advancements created opportunities for field geologists to reduce uncertainty in the interpretation of the stratigraphic record and have likewise created data sets from which the efficacy of numerical models and physical experiments can be evaluated. The goals of this presentation are to (1) review some combined outcrop-model based studies, (2) discuss how these integrated studies test model and field-based uncertainty, and (3) share a vision for how field geologists and modelers can leverage from each other’s perspectives. Five examples of studies that bridged the gap between outcrop stratigraphy and experimental and/or numerical models include: (1) documentation of how mineralogy varies spatially in submarine fans, (2) relating flow processes to sedimentation in sinuous submarine channels, (3) evaluating compensational stacking in deltas and submarine fans, (4) relating stratigraphic architecture of deltas to inherited water depth and seafloor gradient, and (5) testing how shelf-edge deltas pipe coarse-grained sediment to submarine fans. These and similarly focused studies are important because they used common workflows and quantitative methods to evaluate similarities and differences between modeled and natural systems, resulting in a more complete view of the processes and products being studied. Whereas common workflows can provide a means to test the efficacy of physical and numerical modeling, it is critical to consider how modeling sheds insight into how one interprets the stratigraphic record from outcrop and subsurface data sets.

Eric Larour JPL {{{participants}}}

Towards better quantifications of the uncertainty in polar ice-sheet projections using the open source framework ISSM

Eric Larour, Jet Propulsion Laboratory Pasadena California, United States Helene Seroussi, Jet Propulsion Laboratory Pasadena California, United States. Mathieu Morlighem, University of California at Irvine Irvine California, United States. Eric Rignot, University of California at Irvine Irvine California, United States. Nicole Schlegel, Jet Propulsion Laboratory Pasadena California, United States Understanding and modeling the evolution of continental ice sheets such as Antarctica and Greenland can be a difficult task because a lot of the inputs used in transient ice flow models, either inferred from satellite or in-situ observations, carry large measurement errors that will propagate forward and impact projection assessments. Here, we aim at comprehensively quantifying error margins on model diagnostics such as mass outflux at the grounding line, maximum surface velocity and overall ice-sheet volume, applied to major outlet glaciers in Antarctica and Greenland. Our analysis relies on uncertainty quantification methods implemented in the Ice Sheet System Model (ISSM), developed at the Jet Propulsion Laboratory in collaboration with the University of California at Irvine. We focus in particular on sensitivity analysis to try and understand the local influence of specific inputs on model results, and sampling analysis to quantify error margins on model diagnostics. Our results demonstrate the expected influence of measurement errors in surface altimetry, bedrock position and basal friction

Mick van der Wegen UNESCO-IHE {{{participants}}}

How to quantify uncertainty in morphodynamics model predictions

Rebecca Caldwell Indiana University {{{participants}}}

A numerical modeling study of the effects of sediment properties on deltaic processes and morphology

Rebecca L. Caldwell and Douglas A. Edmonds, Department of Geological Sciences, Indiana University, Bloomington, Indiana, USA. We use numerical modeling to explain how deltaic processes and morphology are controlled by properties of the sediment input to the delta apex. We conducted 36 numerical experiments of delta formation varying the following sediment properties: median grain size, grain-size distribution shape, and percent cohesive sediment. As the dominant grain size increases deltas undergo a morphological transition from elongate with few channels to semi-circular with many channels. This transition occurs because the critical shear stress for erosion and the settling velocity of grains in transport set both the number of channel mouths on the delta and the dominant delta-building process. Together, the number of channel mouths and dominant process – channel avulsion, mouth bar growth, or levee growth – set the delta morphology. Coarse-grained, non-cohesive deltas have many channels that are dominated by avulsion, creating semi-circular planforms with relatively smooth delta fronts. Intermediate-grained deltas have many channels that are dominated by mouth bar growth, creating semi-circular planforms with bifurcated channel networks and rugose delta fronts. Fine-grained, cohesive deltas have a few channels, the majority of which are dominated by levee growth, creating elongate planforms with smooth delta fronts. The process-based model presented here provides a previously lacking mechanistic understanding of the effects of sediment properties on delta channel network and planform morphology.

Mariela Perignon University of Colorado {{{participants}}}

Coupling vegetation to the ANUGA flow model

Attila Lazar University of Southampton {{{participants}}}

Coupling terrestrial and marine biophysical processes with livelihood dynamics for analysis of poverty alleviation in Bangladesh

A.N. Lazar, R. J. Nicholls, C. Hutton, H. Adams, M.M. Rahman, M. Salehin, D. Clarke, A.R. Akanda, J. A. Dearing, Judith Wolf5, P.K. Streatfield 1 Faculty of Engineering and Environment, University of Southampton, University Road, Southampton, Hampshire, United Kingdom, SO17 1BJ. a.lazar@soton.ac.uk 2 College of Life and Environmental Sciences, University of Exeter, Prince of Wales Road, Exeter,Devon United Kingdom, EX4 4SB 3 Bangladesh University of Engineering & Technology, Dhaka-1000, Bangladesh 4 Bangladesh Agriculture Research Institute, Joydebpur, Gazipur-1701, Bangladesh 5 National Oceanography Centre, Brownlow Street, Liverpool, L3 5DA, United Kingdom 6 International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka-1000, Bangladesh Summary Food security and poverty in Bangladesh are very dependent on natural resources, which fluctuate with a changing environment. The ecosystem services supporting the rural population are affected by several factors including climate change, upstream river flow modifications, commercial fish catches in the Bay of Bengal, and governance interventions. The ESPA Deltas project aims to holistically describe the interaction between the interlinked bio-physical environment and the livelihoods of the rural poorest in coastal Bangladesh, who are highly dependent on natural resources and live generally on less than US$1.50 per day. Here we describe a new integrated model that allows a long-term analysis of the possible changes in this system by linking projected changes in physical processes (e.g. river flows, nutrients), with productivity (e.g. fish, rice), social processes (e.g. access, property rights, migration) and governance (e.g. fisheries, agriculture, water and land use management). Bayesian Networks and Bayesian Processes allow multidisciplinary integration and exploration of specific scenarios. This integrated approach is designed to provide Bangladeshi policy makers with science-based evidence of possible development trajectories. This includes the likely robustness of different governance options on natural resource conservation and poverty levels. Early results highlight the far reaching implications of sustainable resource use and international cooperation to secure livelihoods and ensure a sustainable environment in coastal Bangladesh.

Rudy Slingerland Penn State {{{participants}}}

The FESD Delta Dynamics Modeling Collaboratory: A Progress Report

Andrew Nicholas University of Exeter {{{participants}}}

Modelling the evolution of large river floodplains

Ajay Limaye California Institute of Technology {{{participants}}}

A vector-based method for bank-material tracking in coupled models of meandering and landscape evolution

Sinuous channels commonly migrate laterally and interact with banks of different strengths—an interplay that links geomorphology and life, and shapes diverse landscapes from the seafloor to planetary surfaces. To investigate feedbacks between meandering rivers and landscapes over geomorphic timescales, numerical models typically represent bank properties using structured or unstructured grids. Grid-based models, however, implicitly include unintended thresholds for bank migration that can control simulated landscape evolution. I will present a vector-based approach to land surface- and subsurface-material tracking that overcomes the resolution-dependence inherent in grid-based techniques by allowing high-fidelity representation of bank-material properties for curvilinear banks and low channel lateral migration rates. The vector-based technique is flexible for tracking evolving topography and stratigraphy to different environments, including aggrading floodplains and mixed bedrock-alluvial river valleys. Because of its geometric flexibility, the vector-based material tracking approach provides new opportunities for exploring the co-evolution of meandering rivers and surrounding landscapes over geologic timescales.

Clinic Invitees

Fotis Sotiropoulos University of Minnesota {{{participants}}}

The SAFL Virtual StreamLab (VSL3D): High Resolution Simulation of Turbulent Flow, Sediment Transport, and Morphodynamics in Waterways

Ali Khosronejad and Fotis Sotiropoulos St, Anthony Falls Laboratory and Department of Civil Engineering University of Minnesota Minneapolis, MN fotis@umn.edu The St. Anthony Falls Laboratory Virtual StreamLab (VSL3D) is a powerful multi-resolution and multi-physics Computational Fluid Dynamics (CFD) model for simulating 3D, unsteady, turbulent flows and sediment transport processes in real-life streams and rivers with arbitrarily complex structures, such as man-made hydraulic structures, woody debris, and even hydrokinetic turbine arrays. The code can handle arbitrarily complex geometry of waterways and embedded structures using novel immersed boundary strategies. Turbulence can be handled either via Reynolds-averaged Navier-Stokes (RANS) turbulence models or via large-eddy simulation (LES) coupled with wall models. Free-surface effects are simulated using a level-set, two-phase flow approach, which can capture complex free-surface phenomena, including hydraulic jumps, over arbitrarily complex bathymetry. A fully-coupled hydro-morphodynamic module has also been developed for simulating bedload and suspended load sediment transport in meandering rivers. A novel dual time-stepping quasi-synchronized approach has been developed to decouple the flow and sediment transport time scales, enabling efficient simulations of morphodynamic phenomena with long time scales, such as dune migration in rivers. The code is parallelized using MPI. This clinic will present a comphrehensive overview of the VSL3D, report extensive grid sensivity and validation studies with experimental data, and present a series of applications, including: 1) LES and unsteady RANS of turbulent flow and scalar transport in natural meandering streams; 2) LES of sand wave growth and evolution in a laboratory scale flume; 2) unsteady RANS of dune formation and migration in large scale meandering rivers with in stream rock structures (rock vanes, j-hooks, w-weirs, etc.); 3) LES of free-surface flows in natural and enginnered open channels; and 4) LES of gravity currents. Representative references about the VSL3D code 1. Khosronejad, A., Hill, C., Kang, S., and Sotiropoulos, F., “Computational and Experimental Investigation of Scour Past Laboratory Models of Stream Restoration Rock Structures,” Advances in Water Resources, Volume 54, Pages 191–207, 2013. 2. Kang, S., and Sotiropoulos, F., “Assessing the predictive capabilities of isotropic, eddy-viscosity Reynolds-averaged turbulence models in a natural-like meandering channel,” Water Resources Research, Volume: 48, Article Number: W06505, DOI: 10.1029/2011WR011375, 2012. 3. Kang, S., Khosronejad, A., and Sotiropoulos, F., “Numerical simulation of turbulent flow and sediment transport processes in arbitrarily complex waterways,” Environmental Fluid Mechanics, Memorial Volume in Honor of Prof. Gerhard H. Jirka, Eds. W. Rodi & M Uhlmann, CRC Press (Taylor and Francis group), pp. 123-151, 2012. 4. Kang, S., and Sotiropoulos, F., “Numerical modeling of 3D turbulent free surface flow in natural waterways,” Advances in Water Resources, Volume: 40, Pages: 23-36, DOI: 10.1016/j.advwatres.2012.01.012, 2012. 5. Kang, S., and Sotiropoulos, F., “Flow phenomena and mechanisms in a field-scale experimental meandering channel with a pool-riffle sequence: Insights gained via numerical simulation,” Journal of Geophysical Research – Earth Surface, Volume: 116, Article Number: F03011 DOI: 10.1029/2010JF001814 Published: AUG 20 2011. 6. Khosronejad, A., Kang, S., Borazjani, I., and Sotiropoulos, F., “Curvilinear Immersed Boundary Method For Simulating Coupled Flow and Bed Morphodynamic Interactions due to Sediment Transport Phenomena,” Advances in Water Resources, Volume: 34, Issue: 7, Pages: 829-843 DOI: 10.1016/j.advwatres.2011.02.017, Published: JUL 2011. 7. Kang, S., Lightbody, A., Hill, C., and Sotiropoulos, F., “High-resolution numerical simulation of turbulence in natural waterways,” Advances in Water Resources, Volume 34, Issue 1, January 2011, Pages 98-113.

Greg Tucker CIRES {{{participants}}}

Landlab

Eunseo Choi University of Memphis {{{participants}}}

SNAC: A 3D parallel explicit finite element code for long-term lithospheric deformation modeling

Eunseo Choi echoi2@memphis.edu Center for Earthquake Research and Information, University of Memphis SNAC (StGermaiN Analysis of Continua) is a 3D parallel explicit finite element code for modeling long-term deformations of lithosphere. It is an open source being distributed through Computational Infrastructure for Geodynamics (http://geodynamics.org/cig/software/snac/) as well as through CSDMS web site (http://csdms.colorado.edu/wiki/Model:SNAC). This clinic will provide an overview of SNAC and lead participants through a typical work procedure for producing a 3D lithospheric deformation model on a high performance cluster. Specifically, participants will take the following steps: 0) acquiring an account on the CSDMS HPC (to be done before the clinic); 1) checking out the source code through a version control system; 2) building SNAC on the cluster; 3) getting familiar with SNAC by running a cookbook example in parallel and visualizing outputs; 4) modifying the source codes to customize a model.

Courtney Harris VIMS {{{participants}}}

Regional Ocean Modeling System (ROMS)

Chris Jenkins INSTAAR {{{participants}}}

Carbonate Models Clinic - carbo* suite

Chris Jenkins, Peter Burgess, Donald Potts The carbo* set of modules use Lotka-Volterra population ecology, hydrodynamics, mesoscale simulators, an organism knowledge base (OKB), and habitat suitability indexes to model benthic carbonate production. The modeling covers coral reef, Halimeda and maerl, oyster, deep-water coral and bryozoan facies but can be extended to other types using the OKB. Recently the creation of rubble bioclasts has been addressed by modeling bioerosion, skeleton breakage, water column turbulence statistics, and clast ballistic trajectories in extreme weather. Model runs are initiated for modern situations by automatically gathering data from global database and remote sensed resources such as MODIS AQUA, World Ocean Atlas, WaveWatch, GEBCO. Idealized scenarios – from paleogeography - can also be constructed and submitted for modeling. Time spans of up to 10,000 years have been run, using a burst technique with annual time-stepping. Seasonal stepping for shorter time span is also possible. The model outputs include profiles of organism biofacies, accumulation geometries, (1m3) ‘block of rock’ fabric & porosity models for generated materials, and 3D and animated mappings of the sediment facies. The clinic will go through a typical setup and run, with some variations within the group. One of the modeled areas will be Molokai, Hawaii. Participants on the day will receive a copy of the software. Images of recent outputs are shown at http://instaar.colorado.edu/~jenkinsc/carboClinic2014/carboClinicImages2014.htm. Future developments will be discussed, particularly integration with terrigenous sediment and suspendate models, and nutrient loadings.

Laura Swiler Sandia National Laboratories {{{participants}}}

DAKOTA

Mark Piper & Irina Overeem CSDMS {{{participants}}}

WMT: The CSDMS Web Modeling Tool

Mark Piper, Eric Hutton and Irina Overeem, CSDMS Integration Facility Boulder Colorado, United States (mark.piper@colorado.edu) The CSDMS Web Modeling Tool (WMT) is the web-based successor to the desktop Component Modeling Tool (CMT). WMT presents a drag-and-drop interface that allows users to build and run coupled surface dynamics models from a web browser on a desktop, laptop or tablet computer. With WMT, a user can: • Design a coupled model from a list of available components • Edit the parameters of the model components • Save the coupled model to a server, where it can be accessed from any computer • Set run parameters, including the computer/cluster on which to run the model • Share saved modeling projects with others in the community • Submit jobs to the high-performance computing system Although WMT is web-based, the building and configuration of a model can be done offline. The user can then reconnect to save a model and submit it for a run. In this clinic we present an overview of WMT, including an explanation of the user interface, a listing of the currently available models and a discussion of how models can be run in operational mode or in reduced-input mode for teaching. We cap the clinic with a live demonstration of setting up, saving and running a coupled model on the CSDMS supercomputer system.

Scott Peckham University of Colorado {{{participants}}}

Introduction to the Basic Model Interface and CSDMS Standard Names

In order to simplify conversion of an existing model to a reusable, plug-and-play model component, CSDMS has developed a simple interface called the Basic Model Interface or BMI that model developers are asked to implement. In this context, an interface is a named set of functions with prescribed function names, argument types and return types. By design, the BMI functions are straightforward to implement in any of the languages supported by CSDMS, which include C, C++, Fortran (all years), Java and Python. Also by design, the BMI functions are noninvasive. A BMI-compliant model does not make any calls to CSDMS components or tools and is not modified to use CSDMS data structures. BMI therefore introduces no dependencies into a model and the model can still be used in a "stand-alone" manner. Any model that provides the BMI functions can be easily converted to a CSDMS plug-and-play component that has a CSDMS Component Model Interface or CMI. Once a BMI-enabled model has been wrapped by CSDMS staff to become a CSDMS component, it automatically gains many new capabilities. This includes the ability to be coupled to other models even if their (1) programming language, (2) variable names, (3) variable units, (4) time-stepping scheme or (5) computational grid is different. It also gains (1) the ability to write output variables to standardized NetCDF files, (2) a "tabbed-dialog" graphical user interface (GUI), (3) a standardized HTML help page and (4) the ability to run within the CSDMS Modeling Tool (CMT). This clinic will explain the key concepts of BMI, with step-by-step examples. It will also include an overview of the new CSDMS Standard Names, which provide a standard way to map input and output variable names between component models as part of BMI implementation. Participants are encouraged to read the associated CSDMS wiki pages in advance and bring model code with specific questions. See 1) BMI Page: BMI_Description 2) Standard Names Page: CSDMS_Standard_Names

Monte Lunacek University of Colorado {{{participants}}}

Interactive Data Analysis with Python

Recent additions to Python have made it an increasingly popular language for data analysis. In particular, the pandas library provides an R-like data-fame in Python, which is data structure that resembles a spreadsheet. This provides an efficient way to load, slice, reshape, query, summarize, and visualize your data. Combining this with numpy, maplotlib, and scikit-learn creates a powerful set of tools for data analysis. In this hands-on tutorial, we will cover the basics of numpy, matplotlib, pandas, and introduce scikit-learn.

Post-meeting Software Bootcamp

• 
• 
• 
•