Model:LOADEST: Difference between revisions

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{{Model identity
|Model type=Single
}}
{{Start models incorporated}}
{{End a table}}
{{Model identity2
|ModelDomain=Terrestrial, Hydrology, Coastal
|One-line model description=Software for estimating constituent loads in streams and rivers
|Extended model description=LOAD ESTimator (LOADEST) is a FORTRAN program for estimating constituent loads in streams and rivers. Given a time series of streamflow, additional data variables, and constituent concentration, LOADEST assists the user in developing a regression model for the estimation of constituent load (calibration). Explanatory variables within the regression model include various functions of streamflow, decimal time, and additional user-specified data variables. The formulated regression model then is used to estimate loads over a user-specified time interval (estimation). Mean load estimates, standard errors, and 95 percent confidence intervals are developed on a monthly and(or) seasonal basis.
The calibration and estimation procedures within LOADEST are based on three statistical estimation methods. The first two methods, Adjusted Maximum Likelihood Estimation (AMLE) and Maximum Likelihood Estimation (MLE), are appropriate when the calibration model errors (residuals) are normally distributed. Of the two, AMLE is the method of choice when the calibration data set (time series of streamflow, additional data variables, and concentration) contains censored data. The third method, Least Absolute Deviation (LAD), is an alternative to maximum likelihood estimation when the residuals are not normally distributed. LOADEST output includes diagnostic tests and warnings to assist the user in determining the appropriate estimation method and in interpreting the estimated loads.
The LOADEST software and related materials (data and documentation) are made available by the U.S. Geological Survey (USGS) to be used in the public interest and the advancement of science. You may, without any fee or cost, use, copy, modify, or distribute this software, and any derivative works thereof, and its supporting documentation, subject to the USGS software User's Rights Notice.
}}
{{Start model keyword table}}
{{Model keywords
|Model keywords=biogeochemistry
}}
{{Model keywords
|Model keywords=water quality
}}
{{End a table}}
{{Modeler information
{{Modeler information
|First name=Rob
|First name=Rob
Line 4: Line 26:
|Type of contact=Technical contact
|Type of contact=Technical contact
|Institute / Organization=U.S. Geological Survey
|Institute / Organization=U.S. Geological Survey
|Postal address 1=Denver Federal Center
|Postal address 1=Denver Federal Center
|Town / City=Lakewood
|Town / City=Lakewood
|Postal code=80225
|Postal code=80225
|Country=United States
|State=Colorado
|State=Colorado
|Country=USA
|Email address=runkel@usgs.gov
|Email address=runkel@usgs.gov
|Phone=303/236-4882 ext. 285
|Phone=303/236-4882 ext. 285
|Fax=303/236-4912
|Fax=303/236-4912
}}
{{Model identity
|Model type=Single
|Categories=Coastal, Terrestrial
|One-line model description=Software for estimating constituent loads in streams and rivers
|Extended model description=LOAD ESTimator (LOADEST) is a FORTRAN program for estimating constituent loads in streams and rivers. Given a time series of streamflow, additional data variables, and constituent concentration, LOADEST assists the user in developing a regression model for the estimation of constituent load (calibration). Explanatory variables within the regression model include various functions of streamflow, decimal time, and additional user-specified data variables. The formulated regression model then is used to estimate loads over a user-specified time interval (estimation). Mean load estimates, standard errors, and 95 percent confidence intervals are developed on a monthly and(or) seasonal basis.
The calibration and estimation procedures within LOADEST are based on three statistical estimation methods. The first two methods, Adjusted Maximum Likelihood Estimation (AMLE) and Maximum Likelihood Estimation (MLE), are appropriate when the calibration model errors (residuals) are normally distributed. Of the two, AMLE is the method of choice when the calibration data set (time series of streamflow, additional data variables, and concentration) contains censored data. The third method, Least Absolute Deviation (LAD), is an alternative to maximum likelihood estimation when the residuals are not normally distributed. LOADEST output includes diagnostic tests and warnings to assist the user in determining the appropriate estimation method and in interpreting the estimated loads.
The LOADEST software and related materials (data and documentation) are made available by the U.S. Geological Survey (USGS) to be used in the public interest and the advancement of science. You may, without any fee or cost, use, copy, modify, or distribute this software, and any derivative works thereof, and its supporting documentation, subject to the USGS software User's Rights Notice.
}}
}}
{{Model technical information
{{Model technical information
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|Does model development still take place?=No
|Does model development still take place?=No
|End year development=2005
|End year development=2005
|Model availability=As code, As teaching tool, As executable
|DevelopmentCode=Only maintenance
|Source code availability=Through owner
|DevelopmentCodeYearChecked=2020
|Model availability=As code
|Source code availability=Through web repository
|Source web address=http://water.usgs.gov/software/loadest/
|Program license type=Other
|Program license type=Other
|Program license type other=U.S. Government software product  
|Program license type other=U.S. Government software product
|OpenMI compliant=No but possible
|CCA component=No but possible
|IRF interface=No but possible
|Memory requirements=--
|Memory requirements=--
|Typical run time=--
|Typical run time=--
}}
}}
{{Input - Output description
{{Input - Output description
|Describe input parameters=Given a time series of streamflow, additional data variables, and constituent concentration, LOADEST assists the user in developing a regression model for the estimation of constituent load (calibration).  
|Describe input parameters=Given a time series of streamflow, additional data variables, and constituent concentration, LOADEST assists the user in developing a regression model for the estimation of constituent load (calibration).
|Input format=ASCII
|Input format=ASCII
|Describe output parameters=Estimated constituent loads  
|Describe output parameters=Estimated constituent loads
|Output format=ASCII
|Output format=ASCII
|Pre-processing software needed?=No
|Pre-processing software needed?=No
|Post-processing software needed?=No
|Post-processing software needed?=No
|Describe post-processing software=See, http://water.usgs.gov/software/loadest/faq/
|Visualization software needed?=No
|Visualization software needed?=No
}}
}}
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}}
}}
{{Model testing
{{Model testing
|Describe available calibration data sets=--
|Describe available test data sets=See applications described in software documentation http://water.usgs.gov/software/loadest/doc/
|Describe available test data sets=See applications described in software documentation http://water.usgs.gov/software/loadest/doc/  
|Describe ideal data for testing=--
}}
}}
{{Users groups model
{{Users groups model
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}}
}}
{{Documentation model
{{Documentation model
|Provide key papers on model if any=http://water.usgs.gov/software/loadest/apps/
|Manual model available=Yes
|Manual model available=Yes
|Model manual=Loadest.pdf
|Model manual=Loadest.pdf
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|Comments=http://water.usgs.gov/software/loadest/
|Comments=http://water.usgs.gov/software/loadest/
}}
}}
{{Infobox Model
{{CSDMS staff part
|model name              = LOADEST
|OpenMI compliant=No but possible
|developer                = '''Runkel''', Robert
|IRF interface=No but possible
|one-line-description    = Software for estimating constituent loads in streams and rivers 
|CMT component=No but possible
|type                    = Model
|CCA component=No but possible
|source                  = <linkedimage>wikipage=Model:LOADEST
tooltip=Download LOADEST
img_src=Yellow1.png</linkedimage>
}}
}}
{{Start coupled table}}
{{End a table}}
{{End headertab}}
{{{{PAGENAME}}_autokeywords}}
<!-- Edit the part above to update info on other papers -->
<!-- Edit the part above to update info on other papers -->
== LOADEST ==
__TOC__
===Introduction===
=== History ===
=== Papers ===
=== LOADEST Questionnaire ===
==== Contact Information ====
{| class="wikitable"
| class="model_col1"| Model:
| class="model_col2"| LOADEST
|-
| class="model_col1"| Contact person:
| class="model_col2"| Rob Runkel
|-
| class="model_col1"| Institute:
| class="model_col2"| U.S. Geological Survey
|-
| class="model_col1"| City:
| class="model_col2"| --
|-
| class="model_col1"| Country:
| class="model_col2"| United Kingdom
|-
| class="model_col1"| Email:
| class="model_col2"| runkel@usgs.gov
|-
| class="model_col1"| 2nd person involved:
| class="model_col2"| --
|-
| class="model_col1"| 3rd person involved:
| class="model_col2"| --
|}
==== Model description ====
{| class="wikitable" 
| class="model_col1"| Model type:
| class="model_col2"| Single model for the terrestrial and the coastal domain.
|-
| class="model_col1"| Description:
| class="model_col2"| LOAD ESTimator (LOADEST) is a FORTRAN program for estimating constituent loads in streams and rivers. Given a time series of streamflow, additional data variables, and constituent concentration, LOADEST assists the user in developing a regression model for the estimation of constituent load (calibration). Explanatory variables within the regression model include various functions of streamflow, decimal time, and additional user-specified data variables. The formulated regression model then is used to estimate loads over a user-specified time interval (estimation). Mean load estimates, standard errors, and 95 percent confidence intervals are developed on a monthly and(or) seasonal basis.
The calibration and estimation procedures within LOADEST are based on three statistical estimation methods. The first two methods, Adjusted Maximum Likelihood Estimation (AMLE) and Maximum Likelihood Estimation (MLE), are appropriate when the calibration model errors (residuals) are normally distributed. Of the two, AMLE is the method of choice when the calibration data set (time series of streamflow, additional data variables, and concentration) contains censored data. The third method, Least Absolute Deviation (LAD), is an alternative to maximum likelihood estimation when the residuals are not normally distributed. LOADEST output includes diagnostic tests and warnings to assist the user in determining the appropriate estimation method and in interpreting the estimated loads.
The LOADEST software and related materials (data and documentation) are made available by the U.S. Geological Survey (USGS) to be used in the public interest and the advancement of science. You may, without any fee or cost, use, copy, modify, or distribute this software, and any derivative works thereof, and its supporting documentation, subject to the USGS software User's Rights Notice.
|}
==== Technical information ====
{| class="wikitable" 
| class="model_col1"| Supported platforms:
| class="model_col2"| Linux, Unix, Windows
|-
| class="model_col1"| Programming language:
| class="model_col2"| Fortran77
|-
| class="model_col1"| Model development started at:
| class="model_col2"| 2001 and ended in 2005
|-
| class="model_col1"| To what degree will the model become available:
| class="model_col2"| Source code will be available, and model can be used as well as a teaching tool and executable will be available.
|-
| class="model_col1"| Current license type:
| class="model_col2"| U.S. Government software product
|-
| class="model_col1"| Memory requirements:
| class="model_col2"| --
|-
| class="model_col1"| Typical run time:
| class="model_col2"| --
|}
==== Input / Output description ====
{| class="wikitable" 
| class="model_col1"| Input parameters:
| class="model_col2"| Given a time series of streamflow, additional data variables, and constituent concentration, LOADEST assists the user in developing a regression model for the estimation of constituent load (calibration).
|-
| class="model_col1"| Input format:
| class="model_col2"| ASCII
|-
| class="model_col1"| Output parameters:
| class="model_col2"| Estimated constituent loads   
|-
| class="model_col1"| Output format:
| class="model_col2"| ASCII
|-
| class="model_col1"| Post-processing software (if needed):
| class="model_col2"| no, see [http://water.usgs.gov/software/loadest/faq/ see http://water.usgs.gov/software/loadest/faq/]
|-
| class="model_col1"| Visualization software (if needed):
| class="model_col2"| no
|}
==== Process description ====
{| class="wikitable" 
| class="model_col1"| Processes represented by model:
| class="model_col2"| --
|-
| class="model_col1"| Key physical parameters & equations:
| class="model_col2"| --
|-
| class="model_col1"| Length scale & resolution constraints:
| class="model_col2"| --
|-
| class="model_col1"| Time scale & resolution constraints:
| class="model_col2"| --
|-
| class="model_col1"| Numerical limitations and issues :
| class="model_col2"| --
|}
==== Testing ====
{| class="wikitable" 
| class="model_col1"| Available calibration data sets:
| class="model_col2"| --
|-
| class="model_col1"| Available test data sets:
| class="model_col2"| See applications described in software documentation http://water.usgs.gov/software/loadest/doc/
|-
| class="model_col1"| Ideal data for testing:
| class="model_col2"| --
|}
==== User groups ====
{| class="wikitable" 
| class="model_col1"| Currently or plans for collaborating with:
| class="model_col2"| --
|}
==== Documentation ====
{| class="wikitable" 
| class="model_col1"| Key papers of the model:
| class="model_col2"| http://water.usgs.gov/software/loadest/apps/
|-
| class="model_col1"| Is there a manual available:
| class="model_col2"| yes; [[Media:Loadest.pdf | Loadest.pdf]]
|-
| class="model_col1"| Model website if any:
| class="model_col2"| http://water.usgs.gov/software/loadest/
|}
==== Additional comments ====
{| class="wikitable" 
| class="model_col1"| Comments:
| class="model_col2"| http://water.usgs.gov/software/loadest/
|}




=== Issues ===


=== Help ===
==Introduction==


=== Input Files ===
== History ==


=== Output Files ===
== References  ==
<br>{{AddReferenceUploadButtons}}<br><br>
{{#ifexist:Template:{{PAGENAME}}-citation-indices|{{{{PAGENAME}}-citation-indices}}|}}<br>
{{Include_featured_references_models_cargo}}<br>


=== Download ===
== Issues ==


=== Source ===
== Help ==
{{#ifexist:Model_help:{{PAGENAME}}|[[Model_help:{{PAGENAME}}]]|}}


== Input Files ==


[[Category:Terrestrial]]
== Output Files ==

Latest revision as of 20:20, 16 September 2020



LOADEST


Metadata

Also known as
Model type Single
Model part of larger framework
Note on status model
Date note status model
Incorporated models or components:
Spatial dimensions
Spatial extent
Model domain Terrestrial, Hydrology, Coastal
One-line model description Software for estimating constituent loads in streams and rivers
Extended model description LOAD ESTimator (LOADEST) is a FORTRAN program for estimating constituent loads in streams and rivers. Given a time series of streamflow, additional data variables, and constituent concentration, LOADEST assists the user in developing a regression model for the estimation of constituent load (calibration). Explanatory variables within the regression model include various functions of streamflow, decimal time, and additional user-specified data variables. The formulated regression model then is used to estimate loads over a user-specified time interval (estimation). Mean load estimates, standard errors, and 95 percent confidence intervals are developed on a monthly and(or) seasonal basis.

The calibration and estimation procedures within LOADEST are based on three statistical estimation methods. The first two methods, Adjusted Maximum Likelihood Estimation (AMLE) and Maximum Likelihood Estimation (MLE), are appropriate when the calibration model errors (residuals) are normally distributed. Of the two, AMLE is the method of choice when the calibration data set (time series of streamflow, additional data variables, and concentration) contains censored data. The third method, Least Absolute Deviation (LAD), is an alternative to maximum likelihood estimation when the residuals are not normally distributed. LOADEST output includes diagnostic tests and warnings to assist the user in determining the appropriate estimation method and in interpreting the estimated loads.

The LOADEST software and related materials (data and documentation) are made available by the U.S. Geological Survey (USGS) to be used in the public interest and the advancement of science. You may, without any fee or cost, use, copy, modify, or distribute this software, and any derivative works thereof, and its supporting documentation, subject to the USGS software User's Rights Notice.

Keywords:

biogeochemistry, water quality,

Name Rob Runkel
Type of contact Technical contact
Institute / Organization U.S. Geological Survey
Postal address 1 Denver Federal Center
Postal address 2
Town / City Lakewood
Postal code 80225
State Colorado
Country United States
Email address runkel@usgs.gov
Phone 303/236-4882 ext. 285
Fax 303/236-4912


Supported platforms
Unix, Linux, Windows
Other platform
Programming language

Fortran77

Other program language
Code optimized Single Processor
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development 2001
Does model development still take place? No
If above answer is no, provide end year model development 2005
Code development status Only maintenance
When did you indicate the 'code development status'? 2020
Model availability As code
Source code availability
(Or provide future intension) 		Through web repository
Source web address http://water.usgs.gov/software/loadest/
Source csdms web address
Program license type Other
Program license type other U.S. Government software product
Memory requirements --
Typical run time --


Describe input parameters Given a time series of streamflow, additional data variables, and constituent concentration, LOADEST assists the user in developing a regression model for the estimation of constituent load (calibration).
Input format ASCII
Other input format
Describe output parameters Estimated constituent loads
Output format ASCII
Other output format
Pre-processing software needed? No
Describe pre-processing software
Post-processing software needed? No
Describe post-processing software
Visualization software needed? No
If above answer is yes
Other visualization software


Describe processes represented by the model --
Describe key physical parameters and equations --
Describe length scale and resolution constraints --
Describe time scale and resolution constraints --
Describe any numerical limitations and issues --


Describe available calibration data sets
Upload calibration data sets if available:
Describe available test data sets See applications described in software documentation http://water.usgs.gov/software/loadest/doc/
Upload test data sets if available:
Describe ideal data for testing


Do you have current or future plans for collaborating with other researchers? --
Is there a manual available? Yes
Upload manual if available: Media:Loadest.pdf
Model website if any http://water.usgs.gov/software/loadest/
Model forum / discussion board
Comments http://water.usgs.gov/software/loadest/


This part will be filled out by CSDMS staff

OpenMI compliant No but possible
BMI compliant No but possible
WMT component No but possible
PyMT component
Is this a data component
Can be coupled with:
Model info
Authors
Rob Runkel
Source code
Model citations
Nr. of publications: 32
Total citations: 1541
h-index: 14
m-quotient: 0.64
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Introduction

History

References



Nr. of publications: 32
Total citations: 1541
h-index: 14
m-quotient: 0.64



Featured publication(s)YearModel describedType of ReferenceCitations
Runkel, R.L.; Crawford, C.G.; Cohn, T.A.; 2004. LOAD ESTIMATOR (LOADEST): A FORTRAN PROGRAM FOR ESTIMATING CONSTITUENT LOADS IN STREAMS AND RIVERS. In: (eds.)Techniques and Methods Book 4, Chapter A5.. .
(View/edit entry)		2004 LOADEST
 Model overview 766
See more publications of LOADEST


Issues

Help

Input Files

Output Files

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