Automating data-model workflows at a level 12 HUC scale: Watershed modeling in a distributed computing environment

Environmental Modelling and Software

Volumn 61, Issue , 2014, Pages 174-190

  Leonard, Lorne ^a   Duffy, Christopher J ^a  

^a The Pennsylvania State University   (United States)

Author keywords

Data as a service; Data workflows; Data model workflows; Distributed hydrological model; Essential terrestrial variables; Geographic information science; HydroTerre; Model as a service; Model workflows; PIHM; Provenance

Indexed keywords

CLIMATE MODELS; DATA AS A SERVICE (DAAS); DIGITAL STORAGE; DISTRIBUTED COMPUTER SYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; WATERSHEDS; WEB SERVICES;

DISTRIBUTED HYDROLOGICAL MODEL; ESSENTIAL TERRESTRIAL VARIABLES; GEOGRAPHIC INFORMATION SCIENCE; HYDROTERRE; MODELING AS A SERVICES; PIHM; PROVENANCE; WORK-FLOWS;

COMPUTER SIMULATION; DATA AS A SERVICE (DAAS);

COMPUTER SIMULATION; DATA SET; HYDROLOGICAL MODELING; NUMERICAL MODEL; PROVENANCE; WATERSHED; SATELLITE DATA; SOFTWARE;

UNITED STATES;

EID: 84907308837     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2014.07.015     Document Type: Article

References (42)

1. Adobe Developers Association TIFF Revision 6.0 1992, 121. Adobe Developers Association, Mountain View, Retrieved from:. http://partners.adobe.com/public/developer/en/tiff/TIFF6.pdf.
2. Alves Dal Santo M., Führ C. Polygonal line simplifying methods applied to GIS. Facing the Challenges - Building the Capacity 2010, 11-16. (Sydney, Australia).
3. Arguez A., Vose R.S. The definition of the standard WMO climate normal: the key to deriving alternative climate normals. Bull. Am. Meteorol. Soc. 2011, 92(6):699-704. 10.1175/2010BAMS2955.1.
4. Bell M. Service-oriented Modeling Service Analysis, Design, and Architecture 2008, John Wiley & Sons, Hoboken, N.J., Retrieved from:. http://www.books24x7.com/marc.asp?bookid=24356.
5. Bell M. SOA Modeling Patterns for Service-oriented Discovery and Analysis 2010, John Wiley & Sons, Hoboken, N.J., Retrieved from:. http://public.eblib.com/EBLPublic/PublicView.do?ptiID=477774.
6. Bhatt G., Kumar M., Duffy C.J. Bridging the gap between geohydrologic data and distributed hydrologic modeling. iEMSs 2008: International Congress on Environmental Modelling and Software Integrating Sciences and Information Technology for Environmental Assessment and Decision Making 2008, 8. International Environmental Modelling and Software Society (iEMSs). M. Sànchez-Marrè, J. Béjar, J. Comas, A. Rizzoli, G. Guariso (Eds.).
7. Cheng C., Dey T.K., Shewchuk J. Delaunay Mesh Generation 2012, 410. Chapman & Hall/CRC, Boca Raton, Fla., London.
8. CyberSTAR AScalable Terascale Advanced Resource for Discovery through Computing 2014, Retrieved January 01, 2014, from:. http://www.ics.psu.edu/infrast/.
9. EnviroGRIDS WP4 Hydrological Models 2013, Retrieved August 13, 2013, from:. http://envirogrids.net/.
10. ESRI ArcGIS Server 2014, Retrieved January 01, 2014, from:. http://www.esri.com/software/arcgis/arcgisserver.
11. Fielding R.T., Taylor R.N. Principled design of the modern web architecture. ACM Trans. Internet Technol. 2002, 2(2):115-150. 10.1145/514183.514185.
12. Goodall J., Horsburgh J., Whiteaker T., Maidment D., Zaslavsky I. Afirst approach to web services for the national water information system. Environ. Model. Softw. 2008, 23(4):404-411. 10.1016/j.envsoft.2007.01.005.
13. Goodall J.L., Robinson B.F., Castronova A.M. Modeling water resource systems using a service-oriented computing paradigm. Environ. Model. Softw. 2011, 26(5):573-582. 10.1016/j.envsoft.2010.11.013.
14. Granell C., Díaz L., Gould M. Service-oriented applications for environmental models: reusable geospatial services. Environ. Model. Softw. 2010, 25(2):182-198. 10.1016/j.envsoft.2009.08.005.
15. Henderson R.L. Job scheduling under the portable batch system. Job Scheduling Strategies for Parallel Processing 1995, vol. 949:279-294. 10.1007/3-540-60153-8_34.
16. Hindmarsh A.C., Brown P.N., Grant K.E., Lee S.L., Serban R., Shumaker D.E., Woodward C.S. SUNDIALS. ACM Trans. Math. Softw. 2005, 31(3):363-396. 10.1145/1089014.1089020.
17. Horsburgh J.S., Maidment D.R., Whiteaker T., Zaslavsky I., Piasecki M. Development of a community hydrologic information system. 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation 2009, 988-994. (Cairns, Australia). L.T. Anderssen, R.S. Braddock, R.D. Newham (Eds.).
18. Leonard L., Duffy C. Hydroterre: selecting up-stream level-12 hucs using depth-first graphs anywhere in the Continental USA. 11th International Conference on Hydroinformatics HIC New York City, USA 2014.
19. Leonard L., Duffy C.J. Essential terrestrial variable data workflows for distributed water resources modeling. Environ. Model. Softw. 2013, 50:85-96. 10.1016/j.envsoft.2013.09.003.
20. Martinec J., Rango A., Roberts R. The Snowmelt Runoff Model (SRM) User's Manual 1994, 29. (Berne, Switzerland).
21. Microsoft Database Markup Language 2014, Retrieved January 01, 2014, from:. http://msdn.microsoft.com/en-us/library/bb399400%2528v=vs.110%2529.aspx.
22. Microsoft Globally Unique Identifier 2014, Retrieved January 01, 2014, from:. http://msdn.microsoft.com/en-us/library/aa373931(VS.85).aspx.
23. Microsoft Service-oriented Architecture 2014, Retrieved January 01, 2014, from:. http://msdn.microsoft.com/en-us/library/bb977471.aspx.
24. Microsoft Silverlight 2014, Retrieved January 01, 2014, from:. http://www.microsoft.com/silverlight/.
25. Microsoft SQL Server 2014, Retrieved January 01, 2014, from:. https://www.microsoft.com/en-us/sqlserver/default.aspx.
26. Nativi S., Mazzetti P., Geller G.N. Environmental model access and interoperability: the GEO model web initiative. Environ. Model. Softw. 2013, 39:214-228. 10.1016/j.envsoft.2012.03.007.
27. NLDAS North American Land Data Assimilation System 2011, Retrieved December 05, 2010, from:. http://ldas.gsfc.nasa.gov/nldas/NLDAS2forcing.php.
28. Parajka J., Merz R., Blöschl G. Acomparison of regionalisation methods for catchment model parameters. Hydrol. Earth Syst. Sci. 2005, 9(3):157-171. 10.5194/hess-9-157-2005.
29. PIHM Penn State Integrated Hydrologic Model 2014, Retrieved January 01, 2014, from:. http://www.pihm.psu.edu.
30. Qu Y., Duffy C.J. Asemidiscrete finite volume formulation for multiprocess watershed simulation. Water Resour. Res. 2007, 43(8):1-18. 10.1029/2006WR005752.
31. Seaber P.R., Kapinos F.P., Knapp G.L. Hydrologic Unit Maps 1987, 66. U.S. G.P.O, Washington; Denver, CO, (For sale by the Books and Open-File Reports Section, U.S. Geological Survey).
32. Shewchuk J.R. Delaunay Refinement Mesh Generation 1997, Carnegie Mellon, Pittsburgh, Pa.
33. SWAT Soil and Water Assessment Tool 2013, Retrieved January 06, 2013, from:. http://swat.tamu.edu/.
34. Tarboton D.G. TauDEM Hydrology Research Group 2011, Retrieved February 03, 2011, from:. http://hydrology.usu.edu/taudem/taudem5.0/index.html.
35. Turuncoglu U.U., Dalfes N., Murphy S., DeLuca C. Toward self-describing and workflow integrated earth system models: a coupled atmosphere-ocean modeling system application. Environ. Model. Softw. 2013, 39:247-262. 10.1016/j.envsoft.2012.02.013.
36. USGS USGS HUC 2013, Retrieved from:. http://water.usgs.gov/GIS/huc.html.
37. World Wide Web Consortium Extensible Markup Language 2014, Retrieved January 01, 2014, from:. http://www.w3.org/TR/xml11/#charsets.
38. World Wide Web Consortium Simple Object Access Protocol 2014, Retrieved January 01, 2014, from:. http://www.w3.org/TR/soap12-part1/.
39. World Wide Web Consortium Web Services Description Language 2014, Retrieved January 01, 2014, from:. http://www.w3.org/TR/wsdl.
40. XSEDE Extreme Science and Engineering Discovery Environment 2014, Retrieved January 01, 2014, from:. https://www.xsede.org.
41. XSEDE San Diego Supercomputer Center Gordon 2014, Retrieved January 01, 2014, from:. https://www.xsede.org/web/guest/sdsc-gordon.
42. XSEDE San Diego Supercomputer Center Trestles 2014, Retrieved January 01, 2014, from:. https://www.xsede.org/web/guest/sdsc-trestles.