Geoprocesses, geohazards - CSDMS 2018


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Natural hazards impact thousands of people every year; floods, droughts, extreme storms, landslides, wildfires, permafrost erosion all change the Earth's surface and inflict tremendous damage to human infrastructure. Most often, humans respond to disasters "after the fact" and a paradigm shift is needed to a strategy of resilience that would provide a way to reduce vulnerability to disasters and their impacts before they occur. Numerical models of earth surface processes are one tool to simulate natural hazards and provide quantitative pre-event risk assessment. Yet, such assessments are only appropriate if the models capture all important physical processes, when the models are tested and well-vetted, when they are useable and proven accurate. This workshop aims to identify what are critical missing components in our ability to provide better assessment of earth surface change in face of natural hazards. The meeting will bring together experts in earth surface process modeling in a three-day hands-on workshop to identify shortcomings in our current natural hazard process understanding, both fundamentally in the earth surface processes as well as in the modeling approaches and technology. The workshop aims to improve natural hazard modeling for risk assessment, with a special focus on building a next-generation cyberinfrastructure and a community of modern modeling and data analysis practice, including high performance computing techniques.

We are pleased to announce that this year's meeting is co-sponsored by the Sediment Experimentalist Network (SEN).

Objectives and general description

Numerical models of earth surface processes are one tool to simulate natural hazards and provide quantitative pre-event risk assessment. Such assessments are only appropriate if the models capture all important physical processes, when the models are tested and well-vetted, when they are useable and proven accurate. The Geoprocesses, geohazards - CSDMS 2018 workshop aims to:

  1. Identify new frontiers in fundamental process understanding in earth surface and natural hazards modeling. New algorithms, cyberinfrastructure development and new model couplings appear paramount to explore important process dynamics and linkages.
  2. Identify needs and develop strategies for model testing, model validation and model benchmarking against natural disasters as they happen, and rapidly afterwards. Massive high-resolution topographic data acquisition allows for more rigorous model to real-world data testing, but what are the obstacles and needs for improved use of disasters as opportunities for improving process models?
  3. Identify what are critical missing components in our ability to provide better assessment of earth surface change in face of natural hazards. How do we design scenario modeling, how do we communicate the uncertainty in model outcomes?
  4. Built researcher-to-researcher connections. Better connect earth surface process modelers with modelers of primary and secondary forcings, as well as social sciences and engineers to allow exploration of the human dimensions of natural disasters.

As in past meetings, keynote speakers are by invitation only, and poster presentations are the general media. The meeting will include:

  • State-of-the art keynote presentations in earth-surface dynamics and modeling of natural hazards
  • Hands-on clinics related to community models, tools and approaches
  • Transformative software products and approaches designed to be accessible, easy to use, and relevant
  • Breakout sessions discussing:
    • Fundamentals of earth surface processes and hazard modeling; missing links and model coupling.
    • Disasters are opportunities; challenges and needs for validation and benchmarking of process models against extreme events?
    • Towards measures of risk: how to include human dimensions of natural disasters in numerical models?
    • Hazard assessment: strategies and technological needs for modeling of scenarios of extreme events with future change to improve hazard prevention.
  • Poster Sessions
  • Consider signing up for the pre- and post-conference meetings as well. See below for more information on these.

Poster Information: The poster boards are configured for 4' wide by 6' tall (portrait orientation) posters.


Click here to view the draft agenda of 01/19/2018.

Keynote Speakers

Susan Cutter
University of South Carolina
Title & abstract tbd

Joannes Westerink
U Notre Dame
Title & abstract tbd

Jenny Suckale
Stanford University
Title & abstract tbd

Paul Bates
University of Bristol, UK
Modelling flood risk in the continental US
Flood modelling at global scales represents a revolution in hydraulic science and has the potential to transform decision-making and risk management in a wide variety of fields. Such modelling draws on a rich heritage of algorithm and data set development in hydraulic modelling over the last 20 years, and is now beginning to yield new insights into current and future flood risk. This paper reviews this progress and outlines recent efforts to develop a 30m resolution true hydrodynamic model of the entire conterminous US. The model is built using an automated framework which uses US National Elevation Dataset, the HydroSHEDS river network, regionalised frequency analysis to determine extreme flow and rainfall boundary conditions and the USACE National Levee Dataset to characterize flood defences. Comparison against FEMA and USGS flood maps shows the continental model to have skill approaching that of bespoke models built with local data. The paper describes the development and testing of the model, and it use to estimate current and future flood risk in the US using high resolution population maps and development projections.

Phaedra Upton
NZ Geoscience
Earthquake-induced landslides and landscape dynamics: The 2016 Kaikōura Earthquake and response
The Mw 7.8 Kaikōura earthquake was a complex one, rupturing ~20 faults on and offshore including several that had not been recognised as active. It also generated tens of thousands of landslides, hundreds of landslide dams and damaged hillslopes that are now susceptible to failure during rainstorms and aftershocks. The landslide debris, when mobilised, will create new hazards – further landsliding, rapid aggregation, increased river channel instability and will threaten infrastructure into the future. Several large landslides closed State Highway 1 along the Kaikōura coast for over a year forcing major changes to New Zealand’s main transport route from Wellington to Christchurch. The road has reopened but repair work continues and it remains vulnerable to further disruption and closures.
These hazards are likely to persist for years to decades, requiring active management but also providing researchers with a natural laboratory with which to quantify post-earthquake landscape dynamics. Researchers in New Zealand and their overseas colleagues started to collect perishable data immediately after the earthquake and are continuing to do so. Repeat LiDAR surveys, ground profiling, field monitoring, laboratory testing and numerical modelling will be integrated to determine how hillslopes and rivers will respond to future forcing events. The goal is to produce an integrated set of predictive tools to manage earthquake and post-earthquake landslide risk.

Robert Weiss
Virginia Tech
Title & abstract tbd

Terry Idol
Open Geospatial Consortium (OGC)
Title & abstract tbd

Mike Willis
University of Colorado, Boulder
Title & abstract tbd

David George
USGS Cascades Volcano Observatory
Title: Modeling earth-surface flow hazards with D-Claw
D-Claw is an extension of the software package GeoClaw ( for simulating flows of granular-fluid mixtures with evolving volume fractions. It was developed primarily for landslides, debris flows and related phenomena by incorporating principles of solid, fluid and soil mechanics. However, because the two-phase model accommodates variable phase concentrations, it can also be used to model fluid problems in the absence of solid content (the model equations reduce to the shallow water equations as the solid phase vanishes). We therefore use D-Claw to seamlessly simulate multifaceted problems that involve the interaction of granular-fluid mixtures and bodies of water. This includes a large number of cascading natural hazards, such as debris-avalanches and lahars that enter rivers and lakes, landslide-generated tsunamis, landslide dams and outburst floods that entrain debris, and debris-laden tsunami inundation. I will describe the basis of D-Claw's model equations and highlight some recent applications, including the 2015 Tyndall Glacier landslide and tsunami, potential lahars on Mt. Rainier that displace dammed reservoirs, and a hypothetical landslide-generated lake outburst flood near Sisters, Oregon.

Joel Johnson
University of Texas, Austin
Using tsunami sediment transport experiments to improve paleohydraulic inverse models
Joel Johnson, Katie Delbecq, Wonsuck Kim, David Mohrig
Department of Geological Sciences, The University of Texas at Austin

Tsunami deposits can imperfectly record the hydraulic conditions of devastating extreme events. Sand entrainment, advection and deposition in these events occurs under strongly disequilibrium conditions in which traditional sediment transport models behave poorly. Quantitative models relating sediment characteristics to flow hydraulics hold the potential to improve coastal hazard assessments. However, data from recent natural tsunamis have rarely been accurate enough, over a range of parameter space, to quantitatively test proposed inverse models for predicting flow characteristics. To better understand how to “read” flow depth and velocity from disequilibrium deposits, we conducted controlled and repeatable laboratory flume experiments in which different grain size distributions (GSDs) of sand were entrained, transported and deposited by hydraulic bores. The bores were created by impounding and instantaneously releasing ~6 m^3 of water with a computer-controlled lift gate. The experiments represent 1/10 to 1/100 scale physical models of large events. Both flow characteristics (including Froude numbers) and suspended sediment transport characteristics (including Rouse numbers and grain size trends) scale consistently with documented natural tsunamis.
We use the experimental data to interpret how entrainment, transport and mixing influence deposit GSDs along the flume. Suspension-dominated deposits get finer and thinner in the direction of transport. The data show that two key controls on GSDs along the flume are (a) the size distribution of the sediment source, and (b) turbulent dispersion of grains. First, the influence of source GSDs on deposit GSDs is strongest near the sediment source. Size-dependent suspension and settling become increasingly important farther down the flume. Transport distances of 1-2 advection length scales are required for deposit GSDs to be sensitive to flow hydraulics. Second, turbulent dispersion strongly influences local deposit GSDs. Importantly, intermediate deposit grain size percentiles (e.g. D50) are less sensitive to dispersive transport than either the fine or coarse tails of local deposit GSDs. Using deposit GSDs along the flume, an advection-settling model best predicts flow depths and velocities when calculated for intermediate percentiles (e.g. D50), rather than for coarse size fractions (e.g. D95) as has been assumed in previous works. We also highlight areas where our knowledge and predictive ability is limited and could be improved using experiments, including understanding the degree to which grain size sorting occurs during entrainment into suspension, and also during energetic bedload transport. Overall, the work suggests that physical models of tsunami sediment transport and deposition are invaluable for evaluating equation assumptions, benchmarking model results, and rigorously evaluating model uncertainties.

Clinic Leaders

Irina Overeem
People attending: 2
Permafrost Toolbox
Instructors: Irina Overeem, Kang Wang, Elchin Jafarov

Permafrost is one of the Arctic climate indicators, and feedback of thawing permafrost to earth surface processes and vice versa is a research frontier. Observations can assess the current state of permafrost, but models are eventually essential to make predictions of future permafrost state and impacts on surface processes. In this 2hr clinic, we will present a new, easy-to-access and comprehensive cyberinfrastructure for permafrost modeling. The ‘Permafrost Modeling Toolbox’ includes three permafrost models of increasing complexity. The tools are embedded within the Community Surface Dynamics Modeling System Web Modeling Tool. We include multiple sets of sample inputs, representing a variety of climate and soil conditions and locations, to enable immediate use of the tools.
The hands-on clinic teaches students and researchers how to run and use several permafrost models with associated datasets. The presented models are envisioned to be the suitable for quick exploration of hypotheses and for teaching purposes. We will also explore options for model coupling, demonstrating an example of a model of coastal/delta sedimentation in permafrost environments.

Sediment Experimentalist Network (SEN)

People attending: 2
Sediment Experimentalist Network (SEN) - Wrangling your research data
The earth-surface science community is producing increasing volumes of data in laboratory, numerical, and field studies. What new tools and resources can help us wrangle these data into meaningful scientific knowledge? Wherever you might be in the research lifecycle – planning experiments, preparing a manuscript, or recovering old data from hard drives – this year’s Sediment Experimentalist Network (SEN) clinic will inform you on leading practices for data planning, management, and publication.
In recent years, policies and tools have evolved with the potential to greatly increase our efficiency in dealing with scientific data. We’ll cover topics that will help throughout the data and experimental lifecycle, including the SEN Knowledge Base (, the growing collection of research data repositories, and AGU’s Enabling FAIR data project.
Enrollees will be contacted a couple weeks prior to the CSDMS meeting to engage in some brief pre-workshop activities to prepare for the clinic. We encourage participants to come prepared with information about their research projects, from which we can engage in practical discussions about data planning and management.

Guy Schumann1,2 and Jeffrey Neal1
1 University of Bristol, UK, 2 Remote Sensing Solutions Inc., Monrovia, CA, USA
People attending: 6
LISFLOOD-FP Clinic: Introduction to Flood Hazard Modeling
Flooding is one of the costliest natural disasters and recent events, including several hurricanes as well as flash floods, have been particularly devastating. In the US alone, the last few years have been record-breaking in terms of flood disasters and triggered many reactions in public opinions. Governments are now reviewing the available information to better mitigate the risks from flooding.
Typically, in the US, flood hazard mapping is done by federal agencies (USACE, FEMA and USGS), with traditionally, little room and need for research model development in flood hazard applications. Now, with the advent of the National Water Model, the status quo of flood hazard prediction in the US may be changing; however, inundation extent and floodplain depths in the National Water Model are still under early-stage development.
This Clinic provides a beginner introduction to the latest capabilities in large-scale 2-D modeling using the LISFLOOD-FP model developed by the University of Bristol with a nearly 20-year code history. This model has a very long history in research applications, while the algorithms behind the model made their way also into many existing industry model codes. The session will give participants insights into 2-D flood inundation modeling with LISFLOOD-FP and also a look at more sophisticated sub-grid channel implementations for large-scale application. More specifically, we will look at the data sets needed by the model and then run a simulation of the annual flooding on the Inner Niger Delta in Mali. The Clinic will also give participants the opportunity to look at some high-resolution LiDAR-based model results.

Steve Roberts & Mariela Perignon
Australian National University & CU, CSDMS-IF
People attending: 6

Mark Piper
People attending: 0
BMI Live!
Mark Piper ( and Eric Hutton (
CSDMS Integration Facility, University of Colorado, Boulder, CO

In software engineering, an interface is a set of functions with prescribed names, argument types, and return types. When a developer implements an interface for a piece of software, they fill out the details for each function while keeping the signatures intact. CSDMS has developed the Basic Model Interface (BMI) for facilitating the conversion of an existing model written in C, C++, Fortran, Python or Java into a reusable, plug-and-play component. By design, BMI functions are straightforward to implement. However, when trying to match BMI functions to model behaviors, the devil is often in the details.
In this hands-on clinic, we'll take a simple model--an implementation of the two-dimensional heat equation in Python--and together, we'll write the BMI functions to wrap it, preparing it for transformation into a component. As we develop, we’ll explore how to use the wrapped model with a Jupyter Notebook.
To get the most out of this clinic, come prepared to code! We'll have a lot to write in the time allotted for the clinic. We recommend that clinic attendees have a laptop with the Anaconda Python distribution installed. We also request that you read over:
BMI description (
BMI documentation (
before participating in the clinic.

Nicole Gasparini
Tulane University
People attending: 5
Landlab with Hydroshare

Katy Barnhart
People attending: 1
Model sensitivity analysis and optimization with Dakota and Landlab
Dakota is a flexible toolkit with algorithms for parameter optimization, uncertainty quantification, parameter estimation, and sensitivity analysis. In this clinic we will cover the basics of the Dakota framework, work through examples of using Dakota to compare field observations with model output using methods of sensitivity analysis and parameter optimization, and briefly cover the theoretical background of the Dakota methods used. If time permits, we will examine how the choice of comparison metrics influences results. Methods will be presented in the context of the Landlab Earth-surface dynamics framework but are generalizable to other models. Participants who are not familiar with Landlab are encouraged (but not required) to sign up for the Landlab clinic, which will take place before this clinic.
Participants do not need to install Landlab or Dakota prior to the clinic but will need to sign up for a Hydroshare account.
For those students interested in installing Landlab or Dakota: Installation instructions for Landlab can be found at: (select "Install" from the menu bar at the top of the page). Installation instructions for Dakota can be found at

Cam Wobus
ABT Associates
People attending: 5
Data for natural hazards

Doug Edmonds & Sam Roy
Indiana University, Bloomington
People attending: 12
Google Earth Engine

Ethan Gutmann
People attending: 10
Making Use of Climate Model Output: Downscaling for Regional Applications
Getting usable information out of climate and weather models can be a daunting task. The direct output from the models typically has unacceptable biases on local scales, and as a result a large number of methods have been developed to bias correct or downscale the climate model output. This clinic will describe the range of methods available as well as provide background on the pros and cons of different approaches. This will cover a variety of approaches from relatively simple methods that just rescale the original output, to more sophisticated statistical methods that account for broader weather patterns, to high-resolution atmospheric models. We will focus on methods for which output or code are readily available for end users, and discuss the input data required by different methods. We will follow this up with a practical session in which participants will be supplied a test dataset and code with which to perform their own downscaling. Participants interested in applying these methods to their own region of interest are encouraged to contact the instructor ahead of time to determine what inputs would be required.

Chris Sherwood
People attending: 8
How to make accurate digital elevation models using imagery from drones (or even walking around)
Modern photogrammetry allows us to make very accurate three-dimensional models using images from consumer-grade cameras. Multiview stereo photogrammetry, also known as structure from motion (SfM) is now easily accessible. Coupled with drones, this is transformative technology that lets us all make better maps than the National Geodetic Survey could not long ago. This hands-on course will demonstrate the basic tools and provide some tips that will allow you to map your favorite field area with 3 - 5 cm horizontal resolution and vertical RMS errors of less than 10 cm. Even better resolution can be obtained for smaller areas, such as outcrops, archaeological digs, or your daughter's art project.
We will use Agisoft Photoscan Pro software...please download the free demo (Pro) version before the class. It works equally well on Mac, Windows, and Linux. If you have a choice, chose a machine with an NVidia graphics card. We encourage you to collect a set of images to bring to the class. Guidelines on how best to take images intended for SfM will be send around before the meeting.


Who is registered as of 01/21/2018?



Within its budget, CSDMS intends to partially support member applicants to attend the annual meeting. Towards this goal, we encourage members to fully or partially cover their expenses if capable. We additionally thank those in the industry and agency fields for understanding that 1) we cannot compensate federal agency participants since our own funding is from NSF, and 2) we request that our industrial/ corporate participants cover their own costs thereby allowing more academic participants to attend. Because CSDMS is in a bridge year between CSDMS 2.0 and CSDMS 3.0, the funding structure for this meeting is different that previous spring meetings. Please note the resulting changes to reimbursement and meeting support as detailed below.

CSDMS is able to provide the following meeting support:

Participants and Poster Presenters - lodging will be provided at the designated meeting hotel (for the evenings of May 21st, 22nd and 23rd, shared rooms at 100% of cost and single rooms at 50% of cost), breakfast and lunch each day of the meeting and one dinner, shuttle service between meeting hotel and meeting venue. This support is available for registrations received through April 1, 2018 or until 100 registrations have been received. After the April 1st deadline, lodging reservations and costs will be the responsibility of the participant.

Scholarship recipients, Keynote presenters, Clinic leaders and Awardees - travel support, registration support and lodging as specified in your invitation letter, breakfast and lunch each day of the meeting and one dinner, shuttle service between meeting hotel and meeting venue.

Specific reimbursement procedures will be emailed to qualified attendees along with your final confirmation in early May, 2018.

Important for foreign travelers: If you need a visa to travel to USA, select a business visa. Please email as soon as possible if you need an invitation letter and indicate any specific wording required. We will need to copy the entry stamp in your passport sometime during the meeting as proof that you were here on business as required by US tax laws (especially when dealing with airfare reimbursements). We are only able to provide reimbursement for airfare within the U.S. and in airlines that are U.S. flag carriers.

Travel, Lodging and Conference Center Information

The meeting will be held at SEEC
Hotel: Millennium Harvest House Hotel Transportation: You can book transportation between DIA and Boulder here: Green Ride Boulder. And information on how to find Green Ride Boulder at DIA.
We will provide a bus between the designated Hotel and the meeting venue each day (the shuttle is not able to stop at other area hotels). We will also provide transportation from the designated Hotel to the banquet (again, the shuttle is not able to stop at other area hotels). Please note that the parking adjacent to the SEEC building now requires payment for non-permit holders. You will need to park in the limited designated areas and provide payment in the adjacent kiosks.

Pre-conference events

The following will apply to both the Software Carpentry bootcamp and the HPC workshop pre-conference events:

  • Registration is open until April 2nd (or until program fills) and is handled through the 2018 meeting site.
  • Each is capped at 30 participants (first paid first serve), and it has a $30 registration fee.
  • Participant will be responsible for cost / organization of their extra day of hotel accommodation and dinner. Costs will not be reimbursed.
  • We will cover coffee, continental breakfast and lunch during each of the events.

Software Carpentry bootcamp

CSDMS will host a one-day pre-conference Software Carpentry bootcamp on Monday May 21nd, 2018, led by Mariela Perignon and Mark Piper.
The objective of the bootcamp is to teach basic programming skills that are useful for scientific computing and model development. This is an intensive, hands-on workshop for novice programmers and those with minimal experience in the specific topics covered. Instructors will cover basic elements of:
  1. the Unix bash shell,
  2. Python programming with Numpy, and
  3. Github for version control.

Our instructors are earth scientists and have familiarity with the CSDMS framework. Lessons and examples will be targeted toward relevant problems in the geosciences. The bootcamp intentionally precedes the CSDMS meeting, so the skills participants develop should be useful in the clinics during the meeting.

HPC workshop

CSDMS will host a one-day pre-conference HPC workshop Essentials for HPCC model code on Monday May 21nd, 2018, led by Thomas Hauser and his HPC Research Computing team.
The objective of the workshop is to teach all essential programming skills to optimal use a HPCC. This will be an hands-on workshop.

Post-conference BMI Hackathon

CSDMS will host a one-day post-conference hackathon on Friday May 25th, 2018, organized by Eric Hutton and Mark Piper.

A hackathon is loosely defined as a social gathering with the goal of collaboratively creating usable software. Here, we’ll hack BMIs. A BMI-ed model can be converted into a CSDMS component, which allows it to be called from PyMT and included in WMT, thereby increasing its visibility and use.

Each attendee is invited to bring a model of their choice1 to wrap with a BMI. The model can be in any CSDMS-supported language (C, C++, Fortran, Java, Python). Attendees should be proficient in the language of their chosen model. The attendees will work together to add BMIs to models. CSDMS staff will guide participants and provide technical assistance. The ultimate goal of the hackathon is to get each participant's model wrapped with a BMI. This is a lofty goal. The more likely outcome is that each participant will have a good start on getting their model wrapped.

Before the hackathon, attendees are expected to have read:

and to have attended a BMI clinic in the current or in an earlier year. Attendees need a laptop with either a working compiler for the language of their choice or an account on beach​. To make the most of the hackathon, attendees should attempt to prepare their model for a BMI by refactoring it into initialize (sets the initial state of the model), update (advances the model by one time step), and finalize (shuts down the model) subprograms.

1 If an attendee doesn’t have a model to wrap, but does express a language preference, we will provide them with a simple model in their language that they can wrap; however, attendees who bring their own model will have precedence if space is an issue.


  • Registration is open until April 2st (or until the program fills) and is handled through the 2018 meeting site.
  • The hackathon is capped at 12 participants (first paid first served), and it has a $30 registration fee.
  • Participants will be responsible for cost / organization of their extra day of hotel accommodation and dinner. Costs will not be reimbursed.
  • We will cover coffee, continental breakfast and lunch during the hackathon.

Syvitski Student Modeler Award 2018

Applications due by January 15, 2018
CSDMS invites graduate students from earth and computer sciences to compete for the annual “CSDMS Student Modeler Award.” If you have completed an outstanding research project in 2017, which involved developing an earth science model, a modeling tool, or module linking technology, you can qualify for this award! Read more on how to apply.

Student Scholarships

This year CSDMS is offering a limited number of scholarships (up to 5) for graduate students to attend the CSDMS annual meeting. These scholarships will be offered for the purpose of increasing participation of underrepresented students or those that have not previously attended. To be eligible, graduate students need to meet the following requirements:

  • Attend the whole meeting (May 22-24, 2018)
  • Submit an abstract
  • Be enrolled as a graduate student at the time of the meeting (bring proof)
  • Submit a letter of motivation that states why you wish to participate in the meeting, and explain how your participation would enhance diversity in the field of natural hazards and surface dynamics modeling. Be sure to mention if it is your first time attending.

Send your application materials to by February 19th, 2018. The CSDMS scholarships will cover:

  • Registration costs (you will still need to pay the registration fee, but will be reimbursed after attending the meeting)
  • Hotel accommodations for three nights, starting May 21nd. (as outlined in Travel/Lodging section above - 100% paid if you agree to a roommate)
  • Travel (air fare ONLY within the United States and local shuttle transport)
  • Per diem to help reimburse the cost of meals from 22-24 May 2018 not offered in the conference schedule

All applicants will receive confirmation of their submission. Please notify us at if you do not receive confirmation within 24 hours of submission.

Important dates

  • January 14th: Registration opens
  • January 15th: Deadline for student modeler competition submission
  • January 31st: Student modeler competition results announced
  • February 19th: Deadline for student scholarship applications CSDMS
  • February 26th: Scholarship awardees notified
  • April 1st: Deadline abstract submission, discounted early registration and meeting supported hotel reservations. After this deadline, reservations and accommodation costs will be responsibility of participant.
  • May 14th: Deadline regular registration. Notice additional costs do apply.
  • May 21nd: Optional: pre-conference bootcamp or HPC workshop
  • May 22-24th: CSDMS annual meeting
  • May 25th: Optional: post-conference hackathon
  • May 25th: CSDMS Executive and Steering committees meetings (by invitation only)

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