Vote for your favorite mineral in #MinCup25! - Pollucite vs. Tugtupite
It's the cesium #pollucite against the optical changeling #tugtupite for this match.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Zhang, Yu, Zhang, Ziya, Reed, Seann, Koren, Victor (2011) An enhanced and automated approach for deriving a priori SAC-SMA parameters from the soil survey geographic database. Computers & Geosciences, 37 (2) 219-231 doi:10.1016/j.cageo.2010.05.016

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleAn enhanced and automated approach for deriving a priori SAC-SMA parameters from the soil survey geographic database
JournalComputers & Geosciences
AuthorsZhang, YuAuthor
Zhang, ZiyaAuthor
Reed, SeannAuthor
Koren, VictorAuthor
Year2011 (February)Volume37
Issue2
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2010.05.016Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID452117Long-form Identifiermindat:1:5:452117:8
GUID0
Full ReferenceZhang, Yu, Zhang, Ziya, Reed, Seann, Koren, Victor (2011) An enhanced and automated approach for deriving a priori SAC-SMA parameters from the soil survey geographic database. Computers & Geosciences, 37 (2) 219-231 doi:10.1016/j.cageo.2010.05.016
Plain TextZhang, Yu, Zhang, Ziya, Reed, Seann, Koren, Victor (2011) An enhanced and automated approach for deriving a priori SAC-SMA parameters from the soil survey geographic database. Computers & Geosciences, 37 (2) 219-231 doi:10.1016/j.cageo.2010.05.016
In(2011, February) Computers & Geosciences Vol. 37 (2) Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Zhang, Ziya, Koren, Victor, Reed, Seann, Smith, Michael, Zhang, Yu, Moreda, Fekadu, Cosgrove, Brian (2012) SAC-SMA a priori parameter differences and their impact on distributed hydrologic model simulations. Journal of Hydrology, 420. 216-227 doi:10.1016/j.jhydrol.2011.12.004
Smith, Michael B., Koren, Victor, Zhang, Ziya, Zhang, Yu, Reed, Seann M., Cui, Zhengtao, Moreda, Fekadu, Cosgrove, Brian A., Mizukami, Naoki, Anderson, Eric A. (2012) Results of the DMIP 2 Oklahoma experiments. Journal of Hydrology, 418. 17-48 doi:10.1016/j.jhydrol.2011.08.056
Moreda, Fekadu, Koren, Victor, Zhang, Ziya, Reed, Seann, Smith, Michael (2006) Parameterization of distributed hydrological models: learning from the experiences of lumped modeling. Journal of Hydrology, 320 (1). 218-237 doi:10.1016/j.jhydrol.2005.07.014
Smith, Michael B., Koren, Victor, Reed, Seann, Zhang, Ziya, Zhang, Yu, Moreda, Fekadu, Cui, Zhengtao, Mizukami, Naoki, Anderson, Eric A., Cosgrove, Brian A. (2012) The distributed model intercomparison project – Phase 2: Motivation and design of the Oklahoma experiments. Journal of Hydrology, 418. 3-16 doi:10.1016/j.jhydrol.2011.08.055
Reed, Seann, Koren, Victor, Smith, Michael, Zhang, Ziya, Moreda, Fekadu, Seo, Dong-Jun, DMIP Participants, and (2004) Overall distributed model intercomparison project results. Journal of Hydrology, 298 (1). 27-60 doi:10.1016/j.jhydrol.2004.03.031
Koren, Victor, Reed, Seann, Smith, Michael, Zhang, Ziya, Seo, Dong-Jun (2004) Hydrology laboratory research modeling system (HL-RMS) of the US national weather service. Journal of Hydrology, 291 (3). 297-318 doi:10.1016/j.jhydrol.2003.12.039
Smith, Michael B., Koren, Victor I., Zhang, Ziya, Reed, Seann M., Pan, Jeng-J., Moreda, Fekadu (2004) Runoff response to spatial variability in precipitation: an analysis of observed data. Journal of Hydrology, 298 (1). 267-286 doi:10.1016/j.jhydrol.2004.03.039
Smith, Michael B., Seo, Dong-Jun, Koren, Victor I., Reed, Seann M., Zhang, Ziya, Duan, Qingyun, Moreda, Fekadu, Cong, Shuzheng (2004) The distributed model intercomparison project (DMIP): motivation and experiment design. Journal of Hydrology, 298 (1). 4-26 doi:10.1016/j.jhydrol.2004.03.040
Anderson, Richard M., Koren, Victor I., Reed, Seann M. (2006) Using SSURGO data to improve Sacramento Model a priori parameter estimates. Journal of Hydrology, 320 (1). 103-116 doi:10.1016/j.jhydrol.2005.07.020
Saha, Kakoli, Wells, Neil A., Munro-Stasiuk, Mandy (2011) An object-oriented approach to automated landform mapping: A case study of drumlins. Computers & Geosciences, 37 (9) 1324-1336 doi:10.1016/j.cageo.2011.04.001
Zhang, Bo, Liu, Shaofeng, Zhang, Chenxi (2023) EaDz: A web-based, relational database for detrital zircons from East Asia. Computers & Geosciences, 171. 105288 doi:10.1016/j.cageo.2022.105288
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 8, 2025 19:35:33
Go to top of page