Model:LOADEST

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LOADEST




Metadata

Also known as
Model type Single
Model part of larger framework
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,


First name Rob
Last name 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
Can be coupled with:
Model info
Citation indices LOADEST
Nr. of pubs: 18
Citations: 838
h-index: 9
Qrcode LOADEST.png
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Introduction

History

References




Citation indices LOADEST
Nr. of pubs: 18
Citations: 838
h-index: 9



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)
2004LOADEST
Model overview 441
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