Model:LOADEST

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LOADEST

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Summary Contact Technical specs In/Output Process Testing Other Component info 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 Go to external source code site Model citations Nr. of publications: 33 Total citations: 1541 h-index: 14 m-quotient: 0.64 QR-code Link to this page Other models by author LOADEST OTEQ OTIS

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Nr. of publications:	33
Total citations:	1541
h-index:	14
m-quotient:	0.64

Featured publication(s)	Year	Model described	Type of Reference	Citations
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
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