Modeled streamflow response under cloud seeding in the North Platte River watershed

Journal of Hydrology

Volumn 409, Issue 1-2, 2011, Pages 305-314

  Acharya, Anil ^a   Piechota, Thomas C ^a   Stephen, Haroon ^a   Tootle, Glenn ^b  

^a UNIVERSITY OF NEVADA   (United States)

^b UNIVERSITY OF TENNESSEE   (United States)

Author keywords

Hydrologic model; Precipitation; Streamflow; Weather modification

Indexed keywords

ANNUAL PRECIPITATION; HYDROLOGIC MODELS; HYDROLOGICAL IMPACTS; HYDROLOGICAL MODELS; LAND SURFACE; METEOROLOGICAL FORCING; MODEL SIMULATION; NORTHERN REGIONS; PLATTE RIVER; SHRUBLANDS; VARIABLE INFILTRATION CAPACITIES; VIC MODEL; WYOMING;

ARID REGIONS; COMPUTER SIMULATION; DROUGHT; LANDFORMS; MATHEMATICAL MODELS; SEED; STREAM FLOW; WATERSHEDS;

CLOUD SEEDING;

CLOUD SEEDING; GRASSLAND; HYDROLOGICAL MODELING; HYDROMETEOROLOGY; MODEL VALIDATION; PRECIPITATION ASSESSMENT; SHRUBLAND; STREAMFLOW;

NORTH PLATTE BASIN; UNITED STATES; WYOMING;

EID: 80054054256     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2011.08.027     Document Type: Article

References (38)

1. AMS (American Meteorological Society), 1998. Planned and inadvertent weather modification. Bullet. Am. Meteor. Soc. 73, 331-337.
2. ASCE (American Society of Civil Engineers), 2006. Guidelines for Cloud Seeding to Augment Precipitation, second ed. ASCE Manuals and Reports on Engineering Practice No. 81, (ASCE)/EWRI, Reston, VA.
3. Barker, R., 2009. North American Interstate Weather Modification Council (NAIWMC) News: Idaho Power's cloud seeding efforts keep water flowing over dams and may save you money. Idaho Statesman. http://www.idahostatesman.com.
4. BOR (Bureau of Reclamation), 2006. Drought Conditions in the West. Online feature from the Upper Colorado Regional Office of Reclamation. http://www.usbr.gov/uc/feature/drought.html.
5. Breed D. Cloud seeding to enhance snowfall. Colorado Water. Newslett. Water Center Colorado State Univ. 2008, 25(6):1-37.
6. Cherkauer K.A., Lettenmaier D.P. Simulation of spatial variability in snow and frozen soil. J. Geophys. Res. 2003, 108(8858):14. 10.1029/2003JD003575.
7. Cotton, W.R., 2007. Basic cloud seeding concept. Southwest Hydrol. pp. 16-17.
8. Grant L.O. Utilization and assessment of operational weather modification programs for augmenting precipitation. Agricult. Water Manage. 1983, 7:23-35.
9. Griffith, D.A., Solak, M.E., 2006. The potential use of winter cloud seeding programs to augment the flow of the Colorado River. Colorado White Paper: A report prepared for the Upper Colorado River Commission. March.
10. Griffith, D.A., Solak, M.E., Yorty, D.P., 2007. A level II weather modification feasibility study for winter snowpack augmentation in the Salt River and Wyoming ranges in Wyoming. J. Weath. Modif. 39:__. http://www.nawcinc.com/WyomingJWMPaper.pdf.
11. Griffith D.A., Solak M.E., Yorty D.P. 30+ winter seasons of operational cloud seeding in Utah. J. Weath. Modif. 2009, 41:23-37.
12. Hidalgo H.G., Das T., Dettinger M.D., Cayan D.R., Pierce D.W., et al. Detection and attribution of streamflow timing changes to climate change in the western United States. J. Clim. 2009, 22:3838-3855.
13. Huggins A.W. Another wintertime cloud seeding case study with strong evidence of seeding effects. J. Weath. Modif. 2007, 39:9-36.
14. Hunter, S.M., 2007. Optimizing cloud seeding for water and energy in California. A pier-final project report for California Energy Commission, March.
15. Krause P., Boyle D.P., Base F. Comparison of different efficiency criteria for hydrological models. Adv. Geosci. 2005, 5:89-97.
16. KWO (Kansas Water Office), 2001. Weather Modification Program, Fact Sheet No. 18, 2001: Kansas Water Office, p. 1. (access NAIWMC FAQs, ). http://www.naiwmc.org.
17. Liang X., Lettenmaier D.P., Wood E.F., Burges S.J. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J. Geophys. Res. 1994, 99(14):415-428.
18. Lohmann D., Nolte-Holube R., Raschke E. A large scale horizontal routing model to be coupled to land surface parameterization schemes. Tellus 1996, 48A:708-721.
19. Maurer E.P., Wood A.W., Adam J.C., Lettenmaier D.P., Nijssen B. A long term hydrologically based dataset of land surface fluxes and states for the conterminous United States. J. Clim. 2002, 15:3237-3251.
20. Mote P.W., Hamlet A.F., Clark M.P., Lettenmaier D.P. Declining mountain snowpack in western North America. B. Am. Met. Soc. 2005, 39-49. 10.1175/BAMS-86-1-39.
21. NRC (National Research Council) of the National Academy of Sciences, 2003. Critical issues in weather modification research, Board on Atmospheric Sciences and Climate, Division on Earth and Life Studies. National Academy Press, p. 123.
22. Pierce D.W., Barnett T.P., Hidalgo H.G., Das T., Bonfils C., et al. Attribution of Declining Western US Snowpack to Human 2008, American Meteorological Society, doi:10.1175/2008JCLI2405.1.
23. Rosenfeld D., Woodley W.L. Effects of cloud seeding in West Texas. J. Appl. Meteor. 1989, 28:1050-1080.
24. Ryan, T., Busto, J., Huggins, A.W., Hunter, S.M., 2005. Weather modification for precipitation augmentation and its potential usefulness to the Colorado River Basin States. A report for Metropolitan Water District of Southern California, October.
25. Seely E.H., DeCoursey D.G. Hydrologic impact of weather modification. Water Resour. Bullet. 1975, 11(2):365-369.
26. Sell, R.S., Leistritz, F.L., 1998. Economic impact of reducing hail and enhancing rainfall in North Dakota. (access NAIWMC FAQs, ). http://www.naiwmc.org.
27. Shaw, H., 2006. California has an expensive thirst. Stockton Record, 15 February 2006. http://www.recordnet.com/apps/pbcs.dll/article?AID=/20060215/NEWS01/602150336/1001/NEWS01.
28. Smith P.L., Johnson L.R., Priegnitz D.L., Mielke P.W. A target-control analysis of wheat yield data for the North Dakota cloud modification project region. J. Weath. Modif. 1992, 24:98-105.
29. Smith P.L., Johnson L.R., Priegnitz D.L., Boe B.A., Mielke P.W. An exploratory analysis of crop hail insurance data for evidence of cloud seeding effects in North Dakota. J. Appl. Meteor. 1997, 36:463-473.
30. Stauffer, N.E., Williams, K., 2000. Utah cloud seeding program, increased runoff/cost analysis. Technical Report. Utah Department of Natural Resources, Division of Water Resources.
31. US DoI (Department of Interior) Bureau of Reclamation, 2003. Water 2025: Preventing crises and conflict in the West, May 2003. http://www.doi.gov/water2025/index.html.
32. US Geological Survey (USGS), 2004. Climatic fluctuations, drought, and flow in the Colorado River Basin. USGS Fact Sheet 2004-3062, August. http://pubs.usgs.gov/fs/2004/3062/.
33. Utah Department of Natural Resources (Division of Water Resources), 2005. Utah cloud seeding program: Increased runoff/cost analysis. Salt Lake City, UT, p. 15.
34. Wang J., Hong Y., Gourley J., Adhikari P., Li L., Su F. Quantitative assessment of climate change and human impacts on long term hydrologic response. Int. J. Climat. 2009, doi:10.1002/joc.2023.
35. WMA (Weather Modification Association), 2005. Weather Modification Association Capability Statement. http://www.weathermodification.org/capabilities.htm.
36. Woodley, W.L., Rosenfeld, D., 2008. Evaluation of the effectiveness of cloud seeding in Texas from 2002 through 2006. http://accessams.confex.com/ams/pdfpapers/138761.pdf.
37. WWDC (Wyoming Water Development Commission), 2005. Wyoming level II weather modification feasibility study: Executive summary. Prepared by Weather Modification, Inc., for the WWDC, March.
38. WWDC, 2010.Wyoming Weather Modification Pilot Project. http://www.ral.ucar.edu/projects/wyoming/.