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respec / HSPsquared

Hydrologic Simulation Program Python (HSPsquared)
GNU Affero General Public License v3.0
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Do you support Uncertainty Analysis module ? #23

Closed scalet98 closed 8 months ago

scalet98 commented 5 years ago

Hello ! I've just joined this website. And I found your organization. I am a Ph.D. candidate for Hydrologic & water quality modeler under the climate change scenario. For my studies I want some uncertainty analysis in terms of various variables.

However, from some conference material I found that your organization developed some modules to link HSPF input and output file to DAKOTA program...

Do you support those program or module?

Sincerely yours, Jiheon Lee.

timcera commented 5 years ago

I don't know about HSPF and DAKOTA, however there has been some work and utilities created to support PEST (http://pesthomepage.org/). One of the PEST utilities was developed into TSPROC (https://pubs.usgs.gov/tm/tm7c7/) of which I am one of the authors and was responsible for improving support for WDM files. TSPROC works very closely with PEST and can in one mode create a PEST control file and in another mode handle all HSPF model post-processing so that model results are easily readable by PEST.

timcera commented 5 years ago

Should add that PEST is a suite of programs, some of which can be used for uncertainty analysis.

scalet98 commented 4 years ago

Should add that PEST is a suite of programs, some of which can be used for uncertainty analysis.

I don't know about HSPF and DAKOTA, however there has been some work and utilities created to support PEST (http://pesthomepage.org/). One of the PEST utilities was developed into TSPROC (https://pubs.usgs.gov/tm/tm7c7/) of which I am one of the authors and was responsible for improving support for WDM files. TSPROC works very closely with PEST and can in one mode create a PEST control file and in another mode handle all HSPF model post-processing so that model results are easily readable by PEST.

Dear timcera,

I found your reply too late. But It is very informative. I am going to browse your sites. Thanks

Jiheon Lee :)