Simulating hydrological drought properties at different spatial units in the United States based on wavelet-bayesian regression approach

Earth Interactions

Volumn 16, Issue 17, 2012, Pages 1-23

  Mishra, Ashok K ^a,b   Singh, Vijay P ^a  

^a Texas A and M University   (United States)

^b PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

Bayesian regression; General circulation model; Palmer hydrological drought index; Wavelet analysis

Indexed keywords

DROUGHT; REGRESSION ANALYSIS; STOCHASTIC SYSTEMS; WATER RESOURCES; WAVELET ANALYSIS;

BAYESIAN REGRESSION; GENERAL CIRCULATION MODEL; GLOBAL CLIMATE MODEL; HYDROLOGICAL DROUGHTS; METEOROLOGICAL VARIABLES; MODELING STRENGTH; STOCHASTIC NATURE; WATER RESOURCES PLANNING;

CLIMATE MODELS;

BAYESIAN ANALYSIS; CLIMATE MODELING; DROUGHT; GENERAL CIRCULATION MODEL; GLOBAL CLIMATE; METEOROLOGY; NUMERICAL MODEL; REGRESSION ANALYSIS; WAVELET ANALYSIS;

UNITED STATES;

EID: 84872901643     PISSN: 00030007     EISSN: 10873562     Source Type: Journal    
DOI: 10.1175/2012EI000453.1     Document Type: Article

References (22)

1. Farge, M., 1992: Wavelet transforms and their applications to turbulence. Annu. Rev. Fluid Dyn., 24, 395-457.
2. Grinsted, A., J. C. Moore, and S. Jevrejeva, 2004: Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes Geophys., 11, 561-566.
3. Han, P., P. X. Wang, S. Y. Zhang, and D. H. Zhu, 2010: Drought forecasting based on the remote sensing data using ARIMA models. Math. Comput. Modell., 51 (11-12), 1398-1403.
4. Hoff, P., 2009: A First Course in Bayesian Statistical Methods. Springer Verlag, 270 pp.
5. Karl, T. R., and W. J. Koss, 1984: Regional and national monthly, seasonal, and annual temperature weighted by area, 1895-1983. National Climatic Data Center Historical Climatology Series 4-3, 38 pp.
6. Hoff, P., C. N. Williams Jr., P. J. Young, and W. M. Wendland, 1986: A model to estimate the time of observation bias associated with monthly mean maximum, minimum and mean temperatures for the Unites States. J. Climate Appl. Meteor., 25, 145-160.
7. Hoff, P., F. Quinlan, and D. S. Ezell, 1987: Drought termination and amelioration: Its climatological probability. J. Climate Appl. Meteor., 26, 1198-1209.
8. Kim, T., and J. B. Valdes, 2003: Nonlinear model for drought forecasting based on a conjunction of wavelet transforms and neural networks. J. Hydrol. Eng., 8, 319-328.
9. Kumar, V., and U. Panu, 1997: Predictive assessment of severity of agricultural droughts based on agro-climatic factors. J. Amer. Water Resour. Assoc., 33, 1255-1264.
10. Maurer, E. P., 2007: Uncertainty in hydrologic impacts of climate change in the Sierra Nevada, California, under two emissions scenarios. Climatic Change, 82, 309-325, doi:10.1007/s10584-006-9180-9.
11. Mishra, A. K., and V. R. Desai, 2005: Drought forecasting using stochastic models. J. Stochastic Environ. Res. Risk Assess., 19, 326-339.
12. Mishra, A. K, and V. P. Singh, 2010: A review of drought concepts. J. Hydrol., 391 (1-2), 202-216.
13. Mishra, A. K, and V. P. Singh, 2011: Drought modeling-A review. J. Hydrol., 403, 157-175.
14. Mishra, A. K, V. R. Desai, and V. P. Singh, 2007: Drought forecasting using a hybrid stochastic and neural network model. J. Hydrol. Eng., 12, 626-638.
15. National Climatic Data Center, 2002: U.S. national percent area severely to extremely dry and severely to extremely wet. NCDC Dataset. [Available online at http://www.ncdc.noaa.gov/oa/climate/research/2002/may/uspctarea-wetdry.txt.]
16. Özger, M., A. K. Mishra, and V. P. Singh, 2012: Long lead time drought forecasting using a wavelet and fuzzy logic combination model: A case study in Texas. J. Hydrometeor., 13, 284-297.
17. Palmer, W. C., 1965: Meteorological drought. U.S. Weather Bureau Research Paper 45, 58 pp.
18. Quiring, S. M., 2009: Developing objective operational definitions for monitoring drought. J. Appl. Meteor. Climatol., 48, 1217-1229.
19. Rao, A. R., and G. Padmanabhan, 1984: Analysis and modelling of Palmers drought index series. J. Hydrol., 68, 211-229.
20. Torrence, C., and G. P. Compo, 1998: A practical guide to wavelet analysis. Bull. Amer. Meteor. Soc., 79, 61-78.
21. Wilhite, D. A., and M. J. Hayes, 1998: Drought planning in the United States: Status and future directions. The Arid Frontier, H. J. Bruins and H. Lithwick, Eds., Kluwer, 33-54.
22. Wood, A. W., L. R. Leung, V. Sridhar, and D. P. Lettenmaier, 2004: Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs. Climatic Change, 15, 189-216.