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<font color="red">Optional</font>: May 18<sup>th</sup> and/or May 23 <sup>rd</sup> 2019, choose to attend the pre- or post-conference event (''see also conference registration (Step 3)''): | |||
*[[Form:Annualmeeting2020#Pre-annual meeting: Software Carpentry workshop|Pre conference: Software Carpentry Workshop]] | |||
*[[Form:Annualmeeting2020#Post-annual meeting: GeoClaw|Post conference: GeoClaw]] | |||
<br><br><div style="float:right;">{{TOC limit|3}}</div></div> | <br><br><div style="float:right;">{{TOC limit|3}}</div></div> | ||
<!--Registration link: https://CSDMS.regfox.com/csdms-2020-linking-ecosphere-and-geosphere--> | =Registration= | ||
The online conference registration is a three step process:<!--<font color="red">WE ARE CURRENTLY IN TESTING MODE, PLEASE DO NOT REGISTER YET</font>--><!--Registration is closed. See you all soon!--> | |||
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{{#ifexist:User:{{CURRENTUSER}}|::{{#show:User:{{CURRENTUSER}} |? First name member}}, continue<br>with '''step 2'''| | |||
::<span class="plainlinks">[{{server}}{{localurl:Special:Userlogin|returnto=Form:Annualmeeting2020}} Log in]</span> (<font size="0.6">or [[Special:RequestAccount | create account]] for non-CSDMS members</font>) <font color="gray" size="0.6"><br>Forgot username? <span class="plainlinks">[https://csdms.colorado.edu/wiki/Search_username Search]</span> or email:[mailto:CSDMSweb@colorado.edu CSDMSweb@colorado.edu]</font>}} | |||
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::<div class="btn btn-lg btn-default lienbutton" type="button" style=" padding-top: 0.3cm;">{{#formlink:form=Annualmeeting2019|link text=Start registration|link type=|new window}}</div> | |||
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<big>'''Step 3'''</big>: | |||
::* '''Early Registration: $200''' ''(After April 1<sup>st</sup> $400)''<br> | |||
::* '''Add $30 per joining pre conference events''' | |||
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::<span class="plainlinks"><div class="btn btn-lg btn-default lienbutton" type="button" style=" padding-top: 0.3cm;">[https://CSDMS.regfox.com/csdms-2020-linking-ecosphere-and-geosphere Pay]</div></span><br><font color="gray" size="0.6">''Third party website''</font> | |||
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<font color="gray">''You only are successfully registered by fulfilling the above steps''</font><br> | |||
<font color="gray">Do you want to make changes to your registration? If so:</font> | |||
:# <span class="plainlinks">[{{server}}{{localurl:Special:Userlogin|returnto=Form:Annualmeeting2019}} Log in].</span><font color="gray"> | |||
:# Select your ''[[CSDMS_meeting_2019_participant_list|registration record here]]'' and start by clicking on "Edit registration"</font>.<br><br> | |||
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== Introduction == | == Introduction == |
Revision as of 08:22, 11 October 2019
Optional: May 18th and/or May 23 rd 2019, choose to attend the pre- or post-conference event (see also conference registration (Step 3)):
Registration
The online conference registration is a three step process:
Step 1:
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Step 2:
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Step 3:
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You only are successfully registered by fulfilling the above steps
Do you want to make changes to your registration? If so:
- Log in.
- Select your registration record here and start by clicking on "Edit registration".
Introduction
This year, we anticipate 100 to 150 attendees from academic, government and commercial sectors. The meeting will be co-convened with the International Society for Ecological Modeling, and an important aim of the meeting is to explore connections between ecosystems and earth-surface processes such as erosion, sedimentation, soil dynamics, and landscape/seascape evolution.
Topics that we hope to address at the meeting include (but are not necessarily limited to):
- Life on the surface: biosphere-hydrosphere-lithosphere interactions
- Feedbacks between solid earth, fluid earth and biosphere
- Changing paradigms and challenges in linking ecosystem and earth surface research
- Dynamics of the Critical Zone
- Crossing climate threshold
Keynote Speakers
Netherlands
Field observations were taken at the Le Ressouvenir- Chateau Margot mangrove-mudflat, within the 300m wide fringe and on the mudflat extending 6km offshore, along the Guyana coastline. This coastline resides 1m below sea level and, is subject to a semi-diurnal tidal regime with a maximum tidal range of 3.5m during spring tide. Using the data collected on the elevation, vegetation, water level, flow velocities, sediment concentration and wave heights; we developed a 2D depth averaged model using a process-based approach. On a high resolution grid of 10m, the model predicts the geomorphological development from the interaction between the intertidal flow, waves, sediment transport and the temporal and spatial variation in the mangrove growth, drag and bio-accumulation. Here, we coupled Delft3D-FM with a mangrove dynamics model capturing the Avicennia germinans and Laguncularia racemosa species under suitable inundation and competition regimes.
Waves are critical for the transport of mud into the mangrove belt during high tide. Only when approaching spring tide is the inner part of the fringe inundation, creating a heightened platform which governs the species establishment. The channels form the major path for the tidal inflow during the lower tides, while the interior of the forest is an effective sediment sink during the higher tides. Sea level rise scenarios reinforce field observations for mangrove retreat and decay, with tipping points realized after 1.5m to 2.0m.
Results indicate mangrove adaptability, to climate change and anthropogenic threats, hinges on the long term sedimentation responses and system conditions to promote the establishment of stable belt widths.United States
Netherlands
We studied the effect of seasonal growth and decay of biostabilizing organisms, in response to field calibrated physical forcings, on estuarine morphology over decadal timescales using a novel eco-morphodynamic model. The code includes temporal saltmarsh an microphytobenthos growth and aging as well as spatially varying vegetation fractions determined by mortality pressures. Growth representations are empirical and literature-based to avoid prior calibration.
Novel natural patterns emerged in this model revealing that observed density gradients in vegetation are defined by the life-stages that increase vegetation resilience with age. The model revealed that the formation of seasonal and long term mud layering is governed by a ratio of flow velocity and hydroperiod altered by saltmarsh and microphytobenthos differently, showing that the type of biostabilizer determines the conditions under which mud can settle and be preserved. The results show that eco-engineering effects define emerging saltmarsh patterns from a combination of a positive effect reducing flow velocities and a negative effect enhancing hydroperiod. Consequently, saltmarsh and mud patterns emerge from their bilateral interactions that hence strongly define morphological development.United States
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Clinic Leaders
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Deep neural networks are the current state-of-the-art for discrete classification of remotely sensed imagery from Earth observation platforms. The clinic will guide users through the process of preparing training datasets, training models, and evaluation. A number of different deep convolutional neural network architectures for image feature extraction and pixel-scale classifications will be explored and compared. The clinic will use the keras and tensorflow libraries within the python programming language. This hands-on class will be taught using Google colab through a browser, with the materials hosted on github. Participants will require a working knowledge of python. Some working knowledge of machine learning would be helpful, but we will assume no prior experience with machine/deep learning, neural networks, tensorflow, or keras.
Both the concepts and specific software would apply to many similar classification tasks at landscape scales. This clinic is composed of two, 2-hr sessions. You should sign up to both; the first clinic introduces the topic, data, and technology we use to solve the problem, and the second clinic implements these ideas and evaluates the results.
Clinic materials can be found at:
United States
Deep neural networks are the current state-of-the-art for discrete classification of remotely sensed imagery from Earth observation platforms. The clinic will guide users through the process of preparing training datasets, training models, and evaluation. A number of different deep convolutional neural network architectures for image feature extraction and pixel-scale classifications will be explored and compared. The clinic will use the keras and tensorflow libraries within the python programming language. This hands-on class will be taught using Google colab through a browser, with the materials hosted on github. Participants will require a working knowledge of python. Some working knowledge of machine learning would be helpful, but we will assume no prior experience with machine/deep learning, neural networks, tensorflow, or keras.
Both the concepts and specific software would apply to many similar classification tasks at landscape scales. This clinic is composed of two, 2-hr sessions. You should sign up to both; the first clinic introduces the topic, data, and technology we use to solve the problem, and the second clinic implements these ideas and evaluates the results.
Clinic materials can be found at:
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We will discuss concrete strategies and opportunities to help you bring a diverse research group together. Creating a diverse group can be through reaching out to undergraduate minority students to engage in undergraduate research experiences. This can be done ground-up, i.e. by graduate students in a mentoring role as productively as a faculty in a hiring role. We are all supervisors and mentors in our own ways. We will highlight a number of approaches to engage with underrepresented minority students when recruiting new graduate students, and suggest some concrete adjustments of your recruitment processes to be as inclusive as possible. But being proactive does not stop after recruitment. The clinic will have dedicated discussion time to engage in role play, and provide stories about situations in which you can be an ally. We will identify some pitfalls, ways to reclaim, and provide ideas for more inclusive meetings and mentoring.
Lastly, together we can work on creating an overview of current programs that focus on diversity and inclusion, to apply for funding to take action.United States
The Community Surface Dynamics Modeling System is an NSF-funded initiative that supports the open software efforts of the surface processes community. CSDMS distributes >200 models and tools, and provides cyberinfrastructure to simulate lithosphere, hydrosphere, atmosphere, or cryosphere dynamics. Many of the most exciting problems in these fields arise at the interfaces of different environments and through complex interactions of processes.
This workshop presents recent cyberinfrastructure tools for hypothesis-driven modeling— the Python Modeling Tool (PyMT) and LandLab. PyMT allows users to interactively run and couple numerical models contributed by the community. There are already tools for coastal & permafrost modeling, stratigraphic and subsidence modeling, and terrestrial landscape evolution modeling (including hillslope, overflow, landslide processes, and a suite of erosion processes with vegetation interactions), and these are easy to run and further develop in a Python environment.
This 2-part tutorial aims to provide a short overview of the PyMT and Landlab, a demonstration of running a coupled model, and hands-on exercises using Jupyter notebooks in small groups of attendees. The organizers will facilitate break-out groups for discussion of pressing research needs and then have a plenary discussion with reports of each of the breakouts on future frontier applications of coupled landscape/bioscape process modeling.
Materials for this clinic can be found at: https://github.com/csdms/csdms-2020United States
The Community Surface Dynamics Modeling System is an NSF-funded initiative that supports the open software efforts of the surface processes community. CSDMS distributes >200 models and tools, and provides cyberinfrastructure to simulate lithosphere, hydrosphere, atmosphere, or cryosphere dynamics. Many of the most exciting problems in these fields arise at the interfaces of different environments and through complex interactions of processes.
This workshop presents recent cyberinfrastructure tools for hypothesis-driven modeling— the Python Modeling Tool (PyMT) and LandLab. PyMT allows users to interactively run and couple numerical models contributed by the community. There are already tools for coastal & permafrost modeling, stratigraphic and subsidence modeling, and terrestrial landscape evolution modeling (including hillslope, overflow, landslide processes, and a suite of erosion processes with vegetation interactions), and these are easy to run and further develop in a Python environment.
This 2-part tutorial aims to provide a short overview of the PyMT and Landlab, a demonstration of running a coupled model, and hands-on exercises using Jupyter notebooks in small groups of attendees. The organizers will facilitate break-out groups for discussion of pressing research needs and then have a plenary discussion with reports of each of the breakouts on future frontier applications of coupled landscape/bioscape process modeling.
Materials for this clinic can be found at: https://github.com/csdms/csdms-2020United States
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GCAM is an open-source, global, market equilibrium model that represents the linkages between energy, water, land, climate, and economic systems (Calvin et al. 2019). A strength of GCAM is that it runs fast and can be used to explore, and quantify the uncertainty in, a large number of alternate future scenarios while accounting for multisector, human-Earth system dynamics. One of GCAM’s many outputs is projected land cover/use by subregion. Subregional projections provide context and can be used to understand regional land dynamics; however, Earth System Models (ESMs) generally require gridded representations of land at finer scales. Demeter, a land use and land cover disaggregation model, was created to provide this service (Vernon et al. 2018). Demeter directly ingests land projections from GCAM and creates gridded products that match the desired resolution and land class requirements of the user.
This clinic will introduce both GCAM and Demeter at a high-level. We will also provide a hands-on walk through for a reference case so attendees can become familiar with setting-up and running these two models. Our goal will be for attendees to leave the clinic with an understanding of 1) the value of capturing a global perspective when informing subregional and local analysis, 2) possibilities to conduct scenario exploration experiments that capture multisector/scale dynamics, 3) a hands-on experience with GCAM and Demeter, and 4) key model assumption drivers and simulated model results available.
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Interested in providing a clinic during a next annual meeting? Contact CSDMS@Colorado.EDU.
Reimbursement
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.
CSDMS is able to provide the following meeting support:
- For up to 75 participants lodging will be provided at the designated meeting hotel (for the evenings of May 19th, 20th and 21st, shared rooms at 100% of cost and single rooms at 50% of cost, on a first come, first served basis).
- Breakfast and lunch each day of the meeting and one dinner, shuttle service between the Boulder Marriott/Residence Inn/Millennium Harvest House Hotel and meeting venue will be provided for all registrants.
- Lodging support is available for registrations received through April 1, 2020 or until 75 reservations have been received. After this, 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 early May, 2020.
Important for foreign travelers: If you need a visa to travel to USA, select a business visa. Please email CSDMS@Colorado.EDU as soon as possible if you need an invitation letter along with your passport number, affiliation and entry/exit dates and indicate any specific wording if 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).
Travel, Lodging and Conference Center Information
Meeting venue: SEEC at the University of Colorado's East Campus in Boulder.
Hotel: The CSDMS supported hotel block is arranged for the Boulder Marriott.
Transportation: You can book transportation between DIA and Boulder here: [
https://greenrideco3.hudsonltd.net/res?USERIDENTRY=CSDMS&LOGON=GO Green Ride Boulder]. And information on how to find Green Ride Boulder at DIA.
A bus between the designated Hotels (Marriott/Residence Inn and Millennium) and the meeting venue will be provided each day (the shuttle is not able to stop at other hotels). We will also provide transportation from the designated Hotel to the banquet (again, the shuttle is not able to stop at other hotels). Please note that the parking adjacent to the SEEC building requires payment for non-permit holders. You will need to park in the limited designated areas and provide payment in the adjacent kiosks.
Pre-post conference events
The following applies to the of the pre- and post conference events: Software Carpentry workshop, and GeoClaw :
- Registration is open until April 1st (or until program fills) and is handled through the 2020 meeting site.
- Each is capped at 30 participants (all 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.
Pre-annual meeting: Software Carpentry workshop
CSDMS will host a one-day pre-conference Software Carpentry workshop on Monday, May 18, 2020. The goal of the workshop is to teach basic programming skills that will be useful for scientific research and model development. This is an intensive, hands-on workshop, during which certified instructors will cover basic elements of:
- the Unix bash shell,
- Python programming, and
- Github for version control.
The instructor, Mark Piper, is an earth scientist, so lessons and examples will be targeted toward relevant problems in your field. The workshop intentionally precedes the CSDMS Annual Meeting so that the skills you develop can be used in the clinics during the meeting.
Post-annual meeting: GeoClaw
This one-day pre-conference workshop provided by Professor Randall LeVeque, Washington University on Friday, May 23, 2020 will cover .....
Important dates
- Registration go-live – around October 14th
- Student Modeler submission deadline – January 17th
- Student Modeler notifications – February 7th
- Student scholarship submission deadline – February 10th
- Student scholarship notifications – February 28th
- Early registration deadline – April 1 (and hotel support if still available – will be on first come, first served basis for 75 participants)
- Late registration deadline – May 1