CSDMS - User contributions [en]

2019 CSDMS meeting-017

2019-01-21T21:28:18Z

Mchill: Created page with "{{CSDMS meeting personal information template-2019 |CSDMS meeting first name=Mary |CSDMS meeting last name=Hill |CSDMS meeting institute=University of Kansas |CSDMS meeting ci..."

{{CSDMS meeting personal information template-2019
|CSDMS meeting first name=Mary
|CSDMS meeting last name=Hill
|CSDMS meeting institute=University of Kansas
|CSDMS meeting city=Lawrence
|CSDMS meeting country=United States
|CSDMS meeting state=Kansas
|CSDMS meeting email address=mchill@ku.edu
|CSDMS meeting phone=3039289762
}}
{{CSDMS meeting scholar and pre-meeting2019
|CSDMS meeting pre-conference2019=Quantifying Uncertainty in Earth Systems
}}
{{CSDMS meeting select clinics1 2019
|CSDMS_meeting_select_clinics1_2019=3) Pangeo - Scalable Geoscience Tools Python
}}
{{CSDMS meeting select clinics2 2019
|CSDMS_meeting_select_clinics2_2019=2) Hydroshare - Data
}}
{{CSDMS meeting select clinics3 2019
|CSDMS_meeting_select_clinics3_2019=2) Deep Neural Networks Classification
}}
{{CSDMS scholarships yes no
|CSDMS meeting scholarships=No
}}
{{CSDMS meeting abstract yes no 2019
|CSDMS meeting abstract submit=No
}}
{{CSDMS meeting abstract title temp2019}}
{{CSDMS meeting abstract template 2019}}
{{blank line template}}

2018 CSDMS meeting-064

2018-02-09T21:32:09Z

Mchill: Created page with "{{CSDMS meeting personal information template-2018 |CSDMS meeting first name=Mary |CSDMS meeting last name=Hill |CSDMS meeting institute=University of Kansas |CSDMS meeting ci..."

{{CSDMS meeting personal information template-2018
|CSDMS meeting first name=Mary
|CSDMS meeting last name=Hill
|CSDMS meeting institute=University of Kansas
|CSDMS meeting city=Lawrence
|CSDMS meeting country=United States
|CSDMS meeting state=Kansas
|CSDMS meeting email address=mchill@ku.edu
|CSDMS meeting phone=303-928-9762
}}
{{CSDMS meeting scholar and pre-meeting
|CSDMS meeting pre-conference=None
|CSDMS meeting post-conference=No
}}
{{CSDMS meeting select clinics1 2018
|CSDMS_meeting_select_clinics1_2018=1) Google Earth Engine
}}
{{CSDMS meeting select clinics2 2018
|CSDMS_meeting_select_clinics2_2018=2) Landlab
}}
{{CSDMS meeting select clinics3 2018
|CSDMS_meeting_select_clinics3_2018=4) Artificial Intelligence & Machine Learning
}}
{{CSDMS scholarships yes no
|CSDMS meeting scholarships=No
}}
{{CSDMS meeting abstract yes no 2018
|CSDMS meeting abstract submit=No
}}
{{CSDMS meeting abstract title temp2018}}
{{CSDMS meeting abstract template 2018}}
{{blank line template}}

Annualmeeting:2017 CSDMS meeting-136

2017-05-06T06:12:06Z

Mchill: Created page with "{{CSDMS meeting personal information template-2014 |CSDMS meeting first name=Mary |CSDMS meeting last name=University of Kansas |CSDMS meeting institute=University of Kansas |..."

{{CSDMS meeting personal information template-2014
|CSDMS meeting first name=Mary
|CSDMS meeting last name=University of Kansas
|CSDMS meeting institute=University of Kansas
|CSDMS meeting city=Lawrence
|CSDMS meeting country=United States
|CSDMS meeting state=Kansas
|CSDMS meeting email address=1475 Jayhawk Blvd
|CSDMS meeting phone=303-928-9762
}}
{{CSDMS meeting scholar and pre-meeting
|CSDMS meeting pre-conference=None
|CSDMS meeting post-conference=No
}}
{{CSDMS meeting select clinics1
|CSDMS_meeting_select_clinics1=1) Bringing CSDMS models into the classroom
}}
{{CSDMS meeting select clinics2
|CSDMS_meeting_select_clinics2=1) Modeling Permafrost toolbox
}}
{{CSDMS meeting select clinics3
|CSDMS_meeting_select_clinics3=1) Parflow groundwater modeling
}}
{{CSDMS scholarships yes no
|CSDMS meeting scholarships=No
}}
{{CSDMS meeting abstract yes no
|CSDMS meeting abstract submit=No
}}
{{CSDMS meeting abstract title temp}}
{{CSDMS meeting abstract template}}
{{blank line template}}

User:Mchill

2015-02-27T05:02:56Z

Mchill:

{{Signup information member
|First name member=Mary
|Last name member=Hill
|Institute member=University of Kansas
|Postal address 1 member=1475 Jayhawk Blvd
|City member=Lawrence
|Postal code member=66049
|Country member=United States
|State member=Kansas
|Confirm email member=mchill@ku.edu
|Work phone member=785-864-2728
|Cell phone member=303-928-9762
|Website member=http://wwwbrr.cr.usgs.gov/projects/GW_ModUncert/
|Working group member=Terrestrial Working Group, Education and Knowledge Transfer (EKT) Working Group, Hydrology Focus Research Group, Critical Zone Focus Research Group
|Emaillist group member=yes
|Description of your CSDMS-related interests member=Better modeling
|How did you learn about CSDMS member=Web Page
}}

User:Mchill

2014-05-20T00:30:16Z

Mchill:

{{Signup information member
|First name member=Mary
|Last name member=Hill
|Institute member=USGS
|Postal address 1 member=3215 Marine St
|City member=Boulder
|Postal code member=80302
|Country member=United States
|State member=Colorado
|Confirm email member=mchill@usgs.gov
|Work phone member=303-541-3014
|Website member=http://wwwbrr.cr.usgs.gov/projects/GW_ModUncert/
|Working group member=Terrestrial Working Group, Education and Knowledge Transfer (EKT) Working Group, Hydrology Focus Research Group, Critical Zone Focus Research Group
|Emaillist group member=yes
|How did you learn about CSDMS member=Web Page
}}

File:Image.png

2014-04-21T16:00:50Z

Mchill: The information provided about the importance of a parameter using Sobol' and using DELSA. Sobol' typically takes 10,000 model runs that are not fully parallelizable, while DELSA typically takes 1,000 fully parallelizable model runs.

The information provided about the importance of a parameter using Sobol' and using DELSA. Sobol' typically takes 10,000 model runs that are not fully parallelizable, while DELSA typically takes 1,000 fully parallelizable model runs.

Meeting:Abstract 2013 CSDMS meeting-024

2013-01-07T07:08:12Z

Mchill:

{{CSDMS meeting 2013 not paid}}
{{CSDMS meeting personal information template-2013
|CSDMS meeting first name=Mary
|CSDMS meeting last name=Hill
|CSDMS meeting institute=US Geological Survey
|CSDMS meeting city=Boulder
|CSDMS meeting country=United States
|CSDMS meeting state=Colorado
|CSDMS meeting email address=mchill@usgs.gov
|CSDMS meeting phone=303-938-9532
}}
{{CSDMS meeting abstract yes no
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title template-2013
|CSDMS meeting abstract title=Exploring Models
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Randall
|CSDMS meeting coauthor last name abstract=Hanson
|CSDMS meeting coauthor institute / Organization=US Geological Survey
|CSDMS meeting coauthor town-city=San Diego
|CSDMS meeting coauthor country=United States
|State=California
|CSDMS meeting coauthor email address=rthanson@usgs.gov
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Leon
|CSDMS meeting coauthor last name abstract=Kauffman
|CSDMS meeting coauthor institute / Organization=US Geological Survey
|CSDMS meeting coauthor town-city=West Trenton
|CSDMS meeting coauthor country=United States
|State=New Jersey
|CSDMS meeting coauthor email address=lkauff@usgs.gov
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Martyn
|CSDMS meeting coauthor last name abstract=Clark
|CSDMS meeting coauthor institute / Organization=National Center for Atmospheric Research
|CSDMS meeting coauthor town-city=Boulder
|CSDMS meeting coauthor country=United States
|State=Colorado
|CSDMS meeting coauthor email address=mclark@ucar.edu
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Dmitri
|CSDMS meeting coauthor last name abstract=Kavetski
|CSDMS meeting coauthor institute / Organization=University of Adelaide
|CSDMS meeting coauthor town-city=Adelaide
|CSDMS meeting coauthor country=Australia
|State=
|CSDMS meeting coauthor email address=dmitri.kavetski@gmail.com
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Ming
|CSDMS meeting coauthor last name abstract=Ye
|CSDMS meeting coauthor institute / Organization=Florida State University
|CSDMS meeting coauthor town-city=Tallahassee
|CSDMS meeting coauthor country=United States
|State=Florida
|CSDMS meeting coauthor email address=mye@fsu.edu
}}
{{CSDMS meeting abstract template
|CSDMS meeting abstract=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.
}}
{{CSDMS meeting abstract figures
|CSDMS meeting abstract figure=Maryhill.png
|CSDMS meeting abstract figure caption=Each bar is stacked to indicate the contribution of five types of observations. CSS required 17 parallelizable model runs.
}}
{{blank line template}}

Meeting:Abstract 2013 CSDMS meeting-024

2013-01-07T07:04:32Z

Mchill:

{{CSDMS meeting 2013 not paid}}
{{CSDMS meeting personal information template-2013
|CSDMS meeting first name=Mary
|CSDMS meeting last name=Hill
|CSDMS meeting institute=US Geological Survey
|CSDMS meeting city=Boulder
|CSDMS meeting country=United States
|CSDMS meeting state=Colorado
|CSDMS meeting email address=mchill@usgs.gov
|CSDMS meeting phone=303-938-9532
}}
{{CSDMS meeting abstract yes no
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title template-2013
|CSDMS meeting abstract title=Exploring Models
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Randall
|CSDMS meeting coauthor last name abstract=Hanson
|CSDMS meeting coauthor institute / Organization=US Geological Survey
|CSDMS meeting coauthor town-city=San Diego
|CSDMS meeting coauthor country=United States
|State=California
|CSDMS meeting coauthor email address=rthanson@usgs.gov
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Leon
|CSDMS meeting coauthor last name abstract=Kauffman
|CSDMS meeting coauthor institute / Organization=US Geological Survey
|CSDMS meeting coauthor town-city=West Trenton
|CSDMS meeting coauthor country=United States
|State=New Jersey
|CSDMS meeting coauthor email address=lkauff@usgs.gov
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Martyn
|CSDMS meeting coauthor last name abstract=Clark
|CSDMS meeting coauthor institute / Organization=National Center for Atmospheric Research
|CSDMS meeting coauthor town-city=Boulder
|CSDMS meeting coauthor country=United States
|State=Colorado
|CSDMS meeting coauthor email address=mclark@ucar.edu
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Dmitri
|CSDMS meeting coauthor last name abstract=Kavetski
|CSDMS meeting coauthor institute / Organization=University of Adelaide
|CSDMS meeting coauthor town-city=Adelaide
|CSDMS meeting coauthor country=Australia
|State=
|CSDMS meeting coauthor email address=dmitri.kavetski@gmail.com
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Ming
|CSDMS meeting coauthor last name abstract=Ye
|CSDMS meeting coauthor institute / Organization=Florida State University
|CSDMS meeting coauthor town-city=Tallahassee
|CSDMS meeting coauthor country=United States
|State=Florida
|CSDMS meeting coauthor email address=mye@fsu.edu
}}
{{CSDMS meeting abstract template
|CSDMS meeting abstract=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 with significant nonlinearities. 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.
}}
{{CSDMS meeting abstract figures
|CSDMS meeting abstract figure=Maryhill.png
|CSDMS meeting abstract figure caption=Each bar is stacked to indicate the contribution of five types of observations. CSS required 17 parallelizable model runs.
}}
{{blank line template}}

Meeting:Abstract 2013 CSDMS meeting-024

2013-01-07T06:56:26Z

Mchill:

{{CSDMS meeting 2013 not paid}}
{{CSDMS meeting personal information template-2013
|CSDMS meeting first name=Mary
|CSDMS meeting last name=Hill
|CSDMS meeting institute=US Geological Survey
|CSDMS meeting city=Boulder
|CSDMS meeting country=United States
|CSDMS meeting state=Colorado
|CSDMS meeting email address=mchill@usgs.gov
|CSDMS meeting phone=303-938-9532
}}
{{CSDMS meeting abstract yes no
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title template-2013
|CSDMS meeting abstract title=Exploring Models
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Randall
|CSDMS meeting coauthor last name abstract=Hanson
|CSDMS meeting coauthor institute / Organization=US Geological Survey
|CSDMS meeting coauthor town-city=San Diego
|CSDMS meeting coauthor country=United States
|State=California
|CSDMS meeting coauthor email address=rthanson@usgs.gov
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Leon
|CSDMS meeting coauthor last name abstract=Kauffman
|CSDMS meeting coauthor institute / Organization=US Geological Survey
|CSDMS meeting coauthor town-city=West Trenton
|CSDMS meeting coauthor country=United States
|State=New Jersey
|CSDMS meeting coauthor email address=lkauff@usgs.gov
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Martyn
|CSDMS meeting coauthor last name abstract=Clark
|CSDMS meeting coauthor institute / Organization=National Center for Atmospheric Research
|CSDMS meeting coauthor town-city=Boulder
|CSDMS meeting coauthor country=United States
|State=Colorado
|CSDMS meeting coauthor email address=mclark@ucar.edu
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Dmitri
|CSDMS meeting coauthor last name abstract=Kavetski
|CSDMS meeting coauthor institute / Organization=University of Adelaide
|CSDMS meeting coauthor town-city=Adelaide
|CSDMS meeting coauthor country=Australia
|State=
|CSDMS meeting coauthor email address=dmitri.kavetski@gmail.com
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Ming
|CSDMS meeting coauthor last name abstract=Ye
|CSDMS meeting coauthor institute / Organization=Florida State University
|CSDMS meeting coauthor town-city=Tallahassee
|CSDMS meeting coauthor country=United States
|State=Florida
|CSDMS meeting coauthor email address=mye@fsu.edu
}}
{{CSDMS meeting abstract template
|CSDMS meeting abstract=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; the frugal methods identify consistent important and unimportant parameters for three set parameters for which sum of squared weighted residuals (SOSWR; dimensionless) 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 (constructed with error-based weighting) 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 with significant nonlinearities. 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.
}}
{{CSDMS meeting abstract figures
|CSDMS meeting abstract figure=Maryhill.png
|CSDMS meeting abstract figure caption=Each bar is stacked to indicate the contribution of five types of observations. CSS required 17 parallelizable model runs.
}}
{{blank line template}}

Meeting:Abstract 2013 CSDMS meeting-024

2013-01-06T19:22:55Z

Mchill: Created page with "{{CSDMS meeting 2013 not paid}} {{CSDMS meeting personal information template-2013 |CSDMS meeting first name=Mary |CSDMS meeting last name=Hill |CSDMS meeting institute=US Geo..."

{{CSDMS meeting 2013 not paid}}
{{CSDMS meeting personal information template-2013
|CSDMS meeting first name=Mary
|CSDMS meeting last name=Hill
|CSDMS meeting institute=US Geological Survey
|CSDMS meeting city=Boulder
|CSDMS meeting country=United States
|CSDMS meeting state=Colorado
|CSDMS meeting email address=mchill@usgs.gov
|CSDMS meeting phone=303-938-9532
}}
{{CSDMS meeting abstract yes no
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title template-2013
|CSDMS meeting abstract title=Exploring Models
}}
{{CSDMS meeting abstract template
|CSDMS meeting abstract=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; the frugal methods identify consistent important and unimportant parameters for three set parameters for which sum of squared weighted residuals (SOSWR; dimensionless) 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 (constructed with error-based weighting) 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 with significant nonlinearities. 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.
}}
{{CSDMS meeting abstract figures
|CSDMS meeting abstract figure=Figure.docx
|CSDMS meeting abstract figure caption=Parameter importance to observations and, conversely, the information provided by the observations toward estimating each parameter individually, measured using composite-scaled sensitivities (CSS). Each bar is stacked to indicate the contribution of five types of observations. CSS required 17 parallelizable model runs. The closely related global first-order effects measure would have required on the order of 10,000 model runs, or more, which was not possible for this model for which forward runs required 20 minutes of execution time. CSS results from three sets of parameters (51 model runs) with SOSWR ranging from 5606 to 92 indicate the same important and unimportant parameters, and some variation in the contribution from different observation types.
}}
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File:Figure.docx

2013-01-06T18:49:41Z

Mchill:

Meeting:Abstract 2011 CSDMS meeting-075

2011-09-17T22:53:18Z

Mchill: Created page with " {{#ifeq:{{#expr:{{#time: U}}>{{#expr: {{#expr:{{#switch: {{#sub:{{REVISIONTIMESTAMP}}|4|-8}} | 7 = 1309478400 | 8 = 1312156800 | 9 = 1314835200 | 10 = 1317427200 }} + {{#expr:{{..."

{{#ifeq:{{#expr:{{#time: U}}>{{#expr:
{{#expr:{{#switch: {{#sub:{{REVISIONTIMESTAMP}}|4|-8}}
| 7 = 1309478400
| 8 = 1312156800
| 9 = 1314835200
| 10 = 1317427200
}} + {{#expr:{{#sub:{{REVISIONTIMESTAMP}}|6|-6}}*24*3600}} + {{#expr:{{#sub:{{REVISIONTIMESTAMP}}|8|-4}}*3600}} + {{#expr:{{#sub:{{REVISIONTIMESTAMP}}|10|-2}} *60}} + {{#sub:{{REVISIONTIMESTAMP}}|12}} -64800}}+30 }} }}|1|{{CSDMS meeting 2011 paid}}|{{CSDMS meeting 2011 not paid}} }}<br>
{{CSDMS meeting personal information template
|CSDMS meeting first name=Mary
|CSDMS meeting last name=Hill
|CSDMS meeting institute=US Geolgoical Survey
|CSDMS meeting city=Boulder
|CSDMS meeting state=Colorado
|CSDMS meeting country=USA
|CSDMS meeting email address=mchill@usgs.gov
|CSDMS meeting phone=3035413014
}}
{{CSDMS meeting abstract yes no
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title template
|CSDMS meeting abstract title=The “How” of Environmental Modeling
}}
{{CSDMS meeting abstract template
|CSDMS meeting abstract=This work proposes that environmental models would be made more effective by establishing a base set of model fit, sensitivity, and uncertainty measures for which results are reported consistently, along with any other methods considered, and as innovations in model analysis continue. Indeed, there have been many innovations in model analysis in recent decades. While innovation is important, when every subfield within environmental modeling and almost every report use different model analysis methods, the models are difficult to compare and the utility and limitations of the models are more often obscured than elucidated because few are familiar with the analysis method. Adoption of a base set of consistently used methods can be thought of as contributing to the “how” for achieving the model transparency and refutability encouraged by recent essays describing general goals and philosophies for environmental modeling. The phase I set of methods proposed here includes very computationally frugal methods that are most accurate when the model is sufficiently linear. Computationally frugal methods are advantageous when considering models with long execution times typical when considering environmental systems. Recent work indicates that many of the nonlinearities that have caused so much trouble in the past are numerical artifacts without validity to real world system dynamics. It appears that robust models absolved of such artifacts can often be fruitfully evaluated using linear methods. Second, situations in which the computationally frugal methods fail are generally apparent rather quickly, so little time is lost relative to the effort required by computationally demanding methods. Comparisons of linear methods to selected computationally expensive methods demonstrate the relative utility of both. Establishing base sets of linear (Phase I) and nonlinear (Phase II) methods provides a foundation that is expected to increase utility of environmental model results and interest in sensitivity analysis and uncertainty methods. The increased utility and interest would benefit all developers and users of environmental models, including policy makers and resource managers.
}}
{{blank line template}}
{{CSDMS meeting program template
|CSDMS meeting first hydrological choice=MODFLOW
|CSDMS meeting second hydrological choice=ParFlow
|CSDMS meeting first terrestrial choice=Delft3D
|CSDMS meeting first coastal choice=Delft3D
|CSDMS meeting first marine choice=Delft3D
|CSDMS meeting first carbonate choice=I am not interested
|CSDMS meeting first tool choice=GRASS
}}
{{CSDMS meeting logistics template
|Attend all days=Yes
|CSDMS arrange hotel=No
|Check in date=2011/10/28
|Check out date=2011/10/30
|Share a room=Yes
|CSDMS meeting dinner=No
|CSDMS meeting additional information=I would be willing to help teach a MODFLOW clinic
}}

User:Mchill

2010-01-04T18:52:53Z

Mchill:

{{Signup information member
|First name member=Mary
|Last name member=Hill
|Institute member=USGS
|Postal address 1 member=3215 Marine St
|City member=Boulder
|Postal code member=80302
|State member=Colorado
|Country member=USA
|Confirm email member=mchill@usgs.gov
|Work phone member=303-541-3014
|Website member=http://wwwbrr.cr.usgs.gov/projects/GW_ModUncert/
|Working group member=Terrestrial Working Group
|Focus research group member=Hydrology Focus Research Group
|How did you learn about CSDMS member=Web Page
}}