Multisite stochastic weather generation using cluster analysis and k-nearest neighbor time series resampling

Journal of Hydrology

Volumn 508, Issue , 2014, Pages 197-213

  Caraway, Nina Marie ^a   McCreight, James Lucian ^b,c   Rajagopalan, Balaji ^a,c  

^a University of Colorado at Boulder   (United States)

^b NASA AMES RESEARCH CENTER   (United States)

^c UNIVERSITY OF COLORADO   (United States)

Author keywords

Colorado River; Multisite; Nonparametric; San Juan River; Stochastic; Weather generation

Indexed keywords

CLUSTER ANALYSIS; RIVERS; STOCHASTIC SYSTEMS; TIME SERIES;

COLORADO RIVER; CONDITIONAL SIMULATIONS; METHODOLOGICAL CONTRIBUTIONS; MULTI-SITE; NON-PARAMETRIC; STOCHASTIC; STOCHASTIC WEATHER GENERATOR; TRANSITION PROBABILITIES;

WEATHER MODIFICATION;

CLUSTER ANALYSIS; HOMOGENEITY; MARKOV CHAIN; NEAREST NEIGHBOR ANALYSIS; SAMPLING; SEASONAL VARIATION; STOCHASTICITY; TIME SERIES; WEATHER FORECASTING;

COLORADO RIVER [NORTH AMERICA]; SAN JUAN BASIN [UNITED STATES]; UNITED STATES;

EID: 84888406972     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.10.054     Document Type: Article

References (55)

1. Caron A., Leconte R., Brissette F. An improved stochastic weather generator for hydrological impact studies. Canadian Water Resources Journal 2008, 33(3):233-255. ISSN 07011784.
2. Eberle, M., Buiteveld, H., Beersma, J., Krahe, P., Wilke, K., 2002. Estimation of extreme floods in the River Rhine basin by combining precipitation-runoff modelling and a rainfall generator. In: Spreafico, M., Weingartner, R. (Eds.), Proceedings International Conference on Flood Estimation, CHR Report 11-17, Lelystad, CHR Secretariat, The Netherlands, Berne, Switzerland, 2002, pp. 459-467.
3. Friend A.D., Stevens A.K., Knox R.G., Cannell M.G.R. A process-based terrestrial biosphere model of ecosystem dynamics. Ecological Modelling 1997, 95:249-287.
4. Leander R., Buishand T.A., Aalders P., de Wit M. Estimation of extreme floods of the river Meuse using a stochastic weather generator and a rainfall-runoff model. Hydrological Sciences Journal 2005, 50(6):1089-1103.
5. Leander R., Buishand T.A., van den Hurk B.J., de Wit M.J. Estimated changes in flood quantiles of the river Meuse from resampling of regional climate model output. Journal of Hydrology 2007, 351(3-4):331-343. ISSN 00221694. 10.1016/j.jhydrol.2007.12.020.
6. Mountain N., Jones J. Reconstructing extreme flows using an airflow index-based stochastic weather generator and a hydrological simulation model. Catena 2006, 66(1-2):120-134. ISSN 03418162. 10.1016/j.catena.2005.07.013.
7. Wallis T.W., Griffiths J.F. Simulated meteorological input for agricultural models. Agricultural and Forest Meteorology 1997, 88(1-4):241-258. ISSN 01681923. 10.1016/S0168-192(97)00035-X.
8. Richardson C.W. Stochastic simulation of daily precipitation, temperature, and solar radiation. Water Resources Research 1981, 17(1):182-190.
9. Richardson, C.W., Wright, D.A., 1984. WGEN: a model for generating daily weather variables. Tech. Rep., U.S. Department of Agricultural Research Service, Washington, DC.
10. Katz R.W. Precipitation as a chain-dependent process. Journal of Applied Meteorology 1977, 16(7):671-676.
11. Stern R.D., Coe R. A model fitting analysis of daily rainfall data. Journal of the Royal Statistical Society 1984, 147(1):1-34.
12. Woolhiser D.A. Modeling daily precipitation: progress and problems. Statistics in the Environmental and Earth Sciences 1992, 71-89.
13. Foufoula-Georgiou E., Georgakakos K.P. Hydrologic advances in space-time precipitation modeling and forecasting. Recent Advances in the Modeling of Hydrologic Systems 1991, 47-65. Springer, New York. D.S. Bowles, P.E. O'Connell (Eds.).
14. Furrer E.M., Katz R.W. Improving the simulation of extreme precipitation events by stochastic weather generators. Water Resources Research 2008, 44(12):W12439. ISSN 0043-1397. 10.1029/2008WR007316.
15. Buishand T. Some remarks on the use of daily rainfall models. Journal of Hydrology 1978, 36(3-4):295-308. ISSN 00221694. 10.1016/0022-1694(78)90150-6.
16. Furrer E.M., Katz R.W. Generalized linear modeling approach to stochastic weather generators. Climate Research 2007, 34(2):129-144.
17. Yang C., Chandler R.E., Isham V.S., Wheater H.S. Spatial-temporal rainfall simulation using generalized linear models. Water Resources Research 2005, 41(11):W11415. ISSN 0043-1397. 10.1029/2004WR003739.
18. Chandler R.E. On the use of generalized linear models for interpreting climate variability. Environmetrics 2005, 16(7):699-715.
19. Chandler R.E., Wheater H.S. Analysis of rainfall variability using generalized linear models: a case study from the west of Ireland. Water Resources Research 2002, 38(10):674-689.
20. Wilks D.S., Wilby R.L. The weather generation game: a review of stochastic weather models. Progress in Physical Geography 1999, 23(3):329-357. ISSN 0309-1333. 10.1177/030913339902300302.
21. Mehrotra R., Srikanthan R., Sharma A. A comparison of three stochastic multi-site precipitation occurrence generators. Journal of Hydrology 2006, 331(1-2):280-292. ISSN 00221694. 10.1016/j.jhydrol.2006.05.016.
22. Smith R.E. Spatial modelling of rainfall data. Statistics for the Environment 2: Water Related Issues 1994, 19-41. John Wiley, New York. V. Barnett, K.F. Turkman (Eds.).
23. Wilks D.S. Multisite generalization of a daily stochastic precipitation generation model. Journal of Hydrology 1998, 210:178-191.
24. Wilks D.S. Simultaneous stochastic simulation of daily precipitation, temperature and solar radiation at multiple sites in complex terrain. Agricultural and Forest Meteorology 1999, 96(1-3):85-101. ISSN 01681923. 10.1016/S0168-192(99)00037-4.
25. Brissette F.P., Khalili M., Leconte R. Efficient stochastic generation of multi-site synthetic precipitation data. Journal of Hydrology 2007, 345(3-4):121-133. ISSN 00221694.
26. Srikanthan R.S., Pegram G.G. A nested multisite daily rainfall stochastic generation model. Journal of Hydrology 2009, 371(1-4):142-153. ISSN 00221694. 10.1016/j.jhydrol.2009.03.025.
27. Baigorria G.A., Jones J.W. GiST: a stochastic model for generating spatially and temporally correlated daily rainfall data. Journal of Climate 2010, 23(22):5990-6008. ISSN 0894-8755. 10.1175/2010JCLI3537.1.
28. Qian B., Corte-Real J., Xu H. Multisite stochastic weather models for impact studies. International Journal of Climatology 2002, 22(11):1377-1397. ISSN 0899-8418. 10.1002/joc.808.
29. Mezghani ., Hingray B. A combined downscaling-disaggregation weather generator for stochastic generation of multisite hourly weather variables over complex terrain: development and multi-scale validation for the Upper Rhone River basin. Journal of Hydrology 2009, 377(3-4):245-260. ISSN 00221694. 10.1016/j.jhydrol.2009.08.033.
30. Segond M.L., Onof C., Wheater H.S. Spatial-temporal disaggregation of daily rainfall from a generalized linear model. Journal of Hydrology 2006, 331:674-689. ISSN 0043-1397. 10.1029/2001WR000906.
31. Kleiber W., Katz R.W., Rajagopalan B. Daily spatiotemporal precipitation simulation using latent and transformed Gaussian processes. Water Resources Research 2012, 48(1):W01523. 10.1029/2011WR011105.
32. Harrold T.I., Sharma A., Sheather S.J. A nonparametric model for stochastic generation of daily rainfall amounts. Water Resources Research 2003, 39(12):1-12. ISSN 0043-1397. 10.1029/2003WR002570.
33. Mehrotra R., Sharma A. A semi-parametric model for stochastic generation of multi-site daily rainfall exhibiting low-frequency variability. Journal of Hydrology 2007, 335(1-2):180-193. ISSN 00221694. 10.1016/j.jhydrol.2006.11.011.
34. Rajagopalan B., Lall U., Tarboton D.G., Bowles D.S. Multivariate nonparametric resampling scheme for generation of daily weather variables. Stochastic Hydrology and Hydraulics 1997, 11(1):523-547.
35. Beersma J.J., Buishand T.A. Multi-site simulation of daily precipitation and temperature conditional on the atmospheric circulation. Climate Research 2003, 25:121-133.
36. Brandsma T., Buishand A.T. Simulation of extreme precipitation in the Rhine basin by nearest-neighbor resampling. Hydrology & Earth System Sciences 1998, 2(2-3):195-209.
37. Buishand T.A., Brandsma T. Multisite simulation of daily precipitation and temperature in the Rhine basin by nearest-neighbor resampling distribution. Water Resources Research 2001, 37(11):2761-2776.
38. Rajagopalan B., Lall U. A k-nearest-neighbor simulator for daily precipitation and other weather variables. Water Resources Research 1999, 35(10):3089-3101.
39. Sharif M., Burn D.H. Improved k-nearest neighbor weather generating model. Journal of Hydrologic Engineering 2007, 12(1):42-51.
40. Yates D., Gangopadhyay S., Rajagopalan B., Strzepek K. A technique for generating regional climate scenarios using a nearest-neighbor algorithm. Water Resources Research 2003, 39(7):1199. ISSN 0043-1397. 10.1029/2002WR001769.
41. Lall U., Sharma A. A nearest neighbor bootstrap for time series resampling. Water Resources Research 1996, 32(3):679-693.
42. Apipattanavis S., Bert F., Podestá G., Rajagopalan B. Linking weather generators and crop models for assessment of climate forecast outcomes. Agricultural and Forest Meteorology 2010, 150(2):166-174. 10.1016/j.agrformet.2009.09.012.
43. Apipattanavis S., Podesta G., Rajagopalan B. A semiparametric multivariate and multisite weather generator. Water Resources Research 2007, 43(11):W11401.
44. Holden, P.B., 1999. Flow Recommendations for the San Juan River. Tech. Rep., The San Juan River Basin Recovery Implementation Program. U.S. Fish and Wildlife Service, Albuquerque, NM.
45. Day G.N. Extended streamflow forecasting using NWSRFS. Journal of Water Resources Planning and Management 1985, 111(2):157-170.
46. NWSRFS, NWSRFS User Manual Documentation, 2005.
47. Everitt B.S. Unresolved problems in cluster analysis. Biometrics 1979, 35(1):169. ISSN 0006341X. 10.2307/2529943.
48. Hartigan J.A., Wong M.A. A k-means clustering algorithm. Applied Statistics 1979, 28(1):100-108.
49. Hastie, T., Tibshirani, R., Friedman, J., 2009. The Elements of Statistical Learning: Data Mining, Inference, and Prediction in Statistics, Springer Series in Statistics, second ed. ISBN 978-0-387-84857-0.
50. Kim Y., Katz R., Rajagopalan B., Podestá G., Furrer E. Reducing overdispersion in stochastic weather generators using a generalized linear modeling approach. Climate Research 2012, 53(1):13-24. 10.3354/cr01071.
51. Tibshirani R., Walther G., Hastie T. Estimating the number of clusters in a data set via the gap statistic. Journal of the Royal Statistical Society - Series B: Statistical Methodology 2001, 63(2):411-423.
52. Leander R., Buishand T.A. A daily weather generator based on a two-stage resampling algorithm. Journal of Hydrology 2009, 374(3-4):185-195. ISSN 00221694. 10.1016/j.jhydrol.2009.06.010.
53. Prairie J.R., Rajagopalan B., Fulp T.J., Zagona E.A. Modified K-NN model for stochastic streamflow simulation. Journal of Hydrologic Engineering 2006, 371-378. 10.1061/ASCE1084-0699200611:4371.
54. R Core Team, 2013. R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria.
55. Wickham H. Ggplot2: Elegant Graphics for Data Analysis 2009, Springer, New York, ISBN 978-0-387-98140-6.