Use of an Ensemble Re-ordering Method for disaggregation of seasonal categorical rainfall forecasts into conditioned ensembles of daily rainfall for hydrological forecasting

Journal of Hydrology

Volumn 371, Issue 1-4, 2009, Pages 85-97

  Ghile, Y B ^a   Schulze, R E ^b  

^a University of Massachusetts   (United States)

^b UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

Ensemble Re ordering Method; Seasonal climate forecasts; Streamflow forecasts; Wet and dry spells

Indexed keywords

AGRICULTURAL MANAGEMENTS; COEFFICIENT OF VARIATIONS; CROP YIELDS; DAILY RAINFALLS; DISAGGREGATION; DRY AND WETS; ENSEMBLE RE-ORDERING METHOD; HYDROLOGICAL FORECASTING; HYDROLOGICAL MODELS; MODEL-BASED; OPERATIONAL USE; QUANTITATIVE VALUES; RAIN DAYS; RAINFALL CHARACTERISTICS; RAINFALL DATUM; RAINFALL FORECASTS; RAINFALL SEQUENCES; RELATED VARIABLES; SEASONAL CLIMATE FORECASTS; SEASONAL FORECASTS; SEASONAL RAINFALLS; SKEWNESS COEFFICIENTS; SOUTH AFRICA; STANDARD DEVIATIONS; STATISTICAL CHARACTERISTICS; STEP SIMULATIONS; STREAMFLOW FORECASTS; TIME STEPS; TRANSITIONAL PROBABILITIES; WET AND DRY SPELLS;

AGRICULTURE; CATCHMENTS; DROUGHT; HYDRAULIC MODELS; RAIN; STATISTICAL TESTS; STREAM FLOW; WATER RESOURCES;

FORECASTING;

AGRICULTURAL MANAGEMENT; CATCHMENT; CLIMATE PREDICTION; CROP YIELD; ENSEMBLE FORECASTING; RAINFALL; SEASONALITY; STREAMFLOW; WATER MANAGEMENT;

AFRICA; KWAZULU-NATAL; SOUTH AFRICA; SOUTHERN AFRICA; SUB-SAHARAN AFRICA;

EID: 65449157952     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2009.03.019     Document Type: Article

References (19)

1. Adiku S.G.K., Dayananda P.W.A., Rose C.W., and Dowuona G.N.N. An analysis of the within-season rainfall characteristics and simulation of the daily rainfall in two savanna zones in Ghana. Agricultural and Forest Meteorology 86 (1997) 51-62
2. Chiew F.H.S., Srikanthan R., Frost A.J., and Payne E.G.I. Reliability of daily and annual stochastic rainfall data generated from different data lengths and data characteristics (2005), Department of Civil and Environmental Engineering, The University of Melbourne, Melbourne, Australia
3. Clark M.P., Gangopadhyay S., Brandon D., Werner K., Hay L., Rajagopalan B., and Yates B. A resampling procedure for generating conditioned daily weather sequences. Water Resources Research 40 (2004) W04304 10.1029/2003WR002747
4. Feddersen H., and Andersen U. A method for statistical downscaling of seasonal ensemble predictions. Tellus A 57 (2005) 398-408
5. Hobson, A.N., 1997. Use of a stochastic weather generator in a watershed model for streamflow simulation. Unpublished M.Sc. Dissertation, Department of Civil, Environmental and Architectural Engineering, University of Colorado, CO, USA.
6. Kabat P., and Bates B. The evidence. In: Appleton B. (Ed). Climate Changes the Water Rules: How Water Managers Can Cope with Today's Climate Variability and Tomorrow's Climate Change (2002), Printfine Ltd., Liverpool, UK (Chapters 1-11)
7. Klopper E., and Landman W.A. A simple approach for combining seasonal forecasts for southern Africa. Meteorology Applications 10 (2003) 319-327
8. Lall U., Rajagopalan B., and Tarboton D.G. A nonparameteric wet/dry spell model for resampling daily precipitation. Water Resources Research 32 (1996) 2803-2823
9. Landman W.A., and Klopper E. 15-year simulation of the December to March rainfall season of the 1980s and 1990s using canonical correlation analysis (CCA). Water SA 24 (1998) 281-286
10. Mason S.J. Temporal variability of sea surface temperatures around southern Africa: a possible forcing mechanism for the 18-year rainfall oscillation?. South African Journal Science 86 (1990) 243-252
11. Mason S.J., Joubert A.M., Cosijn C., and Crimp S.J. Review of seasonal forecasting techniques and their applicability to southern Africa. Water SA 22 (1996) 203-206
12. Potts J.M., Folland C.K., Jolliffe I.T., and Sexton D. Revised 'LEPS' scores for assessing climate model simulations and long-range forecasts. Journal of Climate 9 (1996) 34-43
13. Rajagopalan B., and Lall U. A k-nearest-neighbor simulator for daily precipitation and other weather variables. Water Resources Research 35 (1999) 3089-3101
14. Schulze, R.E., 1995. Hydrology and Agrohydrology. A Text to Accompany the ACRU 3.00 Agrohydrological Modelling System. WRC Report TT69/95, Ch.1, AT1-1 to AT1-13, Water Research Commission, Pretoria, RSA.
15. Schulze, R.E., 2006. South African Atlas of Climatology and Agrohydrology. WRC Report 1489/1/06, Water Research Commission, Pretoria, RSA.
16. Semenov M.A., Brooks R.J., Barrow E.M., and Richardson C.W. Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates. Climate Research 10 (1998) 95-107
17. Sharma A., and Lall U. A non parametric approach for daily rainfall simulation. Mathematics and Computers in Simulation 48 (1999) 361-371
18. Wilks D.S. Realizations of daily weather in forecast seasonal climate. Journal of Hydrometeorology 3 (2002) 195-207
19. Yates D., Gangopaddhyay S., Rajagopalan B., and Strezepek K. A technique for generating regional climate scenarios using a nearest neighbor algorithm. Water Resources Research 39 (2003) 1199 10.1029/2002Wr001769