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Volumn 32, Issue 7, 2012, Pages 1098-1112

A stochastic space-time model for the generation of daily rainfall in the Gaza Strip

Author keywords

Daily rainfall; Gaza Strip; Markov chain; Multisite rainfall model; Precipitation; Stochastic process; Wilks approach

Indexed keywords

ANALYTICAL CALCULATION; COMPUTATIONAL SPEED; DAILY RAINFALL; GAZA STRIP; IMPACT STUDY; MULTI-SITE; PRODUCT-MOMENT CORRELATION; RAINFALL MODELS; RAINFALL SERIES; RANDOM NUMBERS; RANK CORRELATION; SPACE-TIME MODEL; SPATIAL CHARACTERISTICS; SPATIAL RAINFALL; STEP-BY-STEP; WILKS APPROACH;

EID: 84861969232     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.2305     Document Type: Article
Times cited : (19)

References (48)
  • 1
    • 0030425297 scopus 로고    scopus 로고
    • Rainfall generator with spatial and temporal characteristics
    • DOI:10.1016/0169-8095(95)00055-0.
    • Allerup P. 1996. Rainfall generator with spatial and temporal characteristics. Atmospheric Research 42: 89-97, DOI:10.1016/0169-8095(95)00055-0.
    • (1996) Atmospheric Research , vol.42 , pp. 89-97
    • Allerup, P.1
  • 2
    • 0027101552 scopus 로고
    • Space-time model for daily rainfall using atmospheric circulation patterns
    • Bardossy A, Plate E. 1992. Space-time model for daily rainfall using atmospheric circulation patterns. Water Resources Research 28: 1247-1260.
    • (1992) Water Resources Research , vol.28 , pp. 1247-1260
    • Bardossy, A.1    Plate, E.2
  • 3
    • 0000715035 scopus 로고
    • Rainfall generation: a nonstationary time varying multi-dimensional model
    • DOI:10.1029/WR012i003p00450.
    • Bras R, Rodriguez-Iturbe I. 1976. Rainfall generation: a nonstationary time varying multi-dimensional model. Water Resources Research 12: 450-456, DOI:10.1029/WR012i003p00450.
    • (1976) Water Resources Research , vol.12 , pp. 450-456
    • Bras, R.1    Rodriguez-Iturbe, I.2
  • 4
    • 35248837441 scopus 로고    scopus 로고
    • Efficient stochastic generation of multi-site synthetic precipitation data
    • DOI:10.1016/j.jhydrol.2007.06.035.
    • Brissette FP, Khalili M, Leconte R. 2007. Efficient stochastic generation of multi-site synthetic precipitation data. Journal of Hydrology 345: 121-133, DOI:10.1016/j.jhydrol.2007.06.035.
    • (2007) Journal of Hydrology , vol.345 , pp. 121-133
    • Brissette, F.P.1    Khalili, M.2    Leconte, R.3
  • 6
    • 46449139856 scopus 로고    scopus 로고
    • On the use of correlated beta random variables with animal population modelling
    • Dias CTDS, Samaranayaka A, Manly B. 2008. On the use of correlated beta random variables with animal population modelling. Ecological Modelling 215: 293-300.
    • (2008) Ecological Modelling , vol.215 , pp. 293-300
    • Dias, C.T.D.S.1    Samaranayaka, A.2    Manly, B.3
  • 7
    • 0346307383 scopus 로고
    • Modeling Interdependence: an Approach to Simulation and Elicitation
    • DOI:10.2307/1242437.
    • Fackler PL. 1991. Modeling Interdependence: an Approach to Simulation and Elicitation. American Journal of Agricultural Economics 73: 1091-1097, DOI:10.2307/1242437.
    • (1991) American Journal of Agricultural Economics , vol.73 , pp. 1091-1097
    • Fackler, P.L.1
  • 8
    • 84861982374 scopus 로고    scopus 로고
    • Generating correlated multidimensional variates. Working paper, available at.
    • Fackler PL. 1999. Generating correlated multidimensional variates. Working paper, available at.
    • (1999)
    • Fackler, P.L.1
  • 9
    • 0348134540 scopus 로고    scopus 로고
    • Behavior of the NORTA method for correlated random vector generation as the dimension increases
    • Ghosh S, Henderson SG. 2003. Behavior of the NORTA method for correlated random vector generation as the dimension increases. ACM Transactions on Modeling and Computer Simulation 13: 1-19.
    • (2003) ACM Transactions on Modeling and Computer Simulation , vol.13 , pp. 1-19
    • Ghosh, S.1    Henderson, S.G.2
  • 11
    • 0034688846 scopus 로고    scopus 로고
    • Improvements of stochastic weather data generators for diverse climates
    • Hayhoe HN. 2000. Improvements of stochastic weather data generators for diverse climates. Climate Research 14: 75-87.
    • (2000) Climate Research , vol.14 , pp. 75-87
    • Hayhoe, H.N.1
  • 12
    • 0000750346 scopus 로고
    • Incorporating spatial dependence and atmospheric data in a model of precipitation
    • Hughes JP, Guttorp P. 1994. Incorporating spatial dependence and atmospheric data in a model of precipitation. Journal of Applied Meteorology 33: 1503-1515.
    • (1994) Journal of Applied Meteorology , vol.33 , pp. 1503-1515
    • Hughes, J.P.1    Guttorp, P.2
  • 14
    • 0000903839 scopus 로고
    • Precipitation as a chain-dependent process
    • Katz RW. 1977. Precipitation as a chain-dependent process. Journal of Applied Meteorology 16: 671-676.
    • (1977) Journal of Applied Meteorology , vol.16 , pp. 671-676
    • Katz, R.W.1
  • 15
    • 0019598027 scopus 로고
    • One some criteria for estimating the order of a Markov chain
    • DOI:10.2307/1267787.
    • Katz RW. 1981. One some criteria for estimating the order of a Markov chain. Technometrics 23: 243-249, DOI:10.2307/1267787.
    • (1981) Technometrics , vol.23 , pp. 243-249
    • Katz, R.W.1
  • 16
    • 0031821780 scopus 로고    scopus 로고
    • Overdispersion phenomenon in stochastic modeling of precipitation
    • Katz RW, Parlange MB. 1998. Overdispersion phenomenon in stochastic modeling of precipitation. Journal of Climate 11: 591-601.
    • (1998) Journal of Climate , vol.11 , pp. 591-601
    • Katz, R.W.1    Parlange, M.B.2
  • 17
    • 84861975495 scopus 로고    scopus 로고
    • Multisite generation of a daily stochastic precipitation to evaluate the effects of the climatic changes on the Chaâteauguay River basin hydrology. American Geophysical Union Joint Assembly, May 17-21, Montréal, Canada.
    • Khalili M, Leconte R, Brissette F. 2004. Multisite generation of a daily stochastic precipitation to evaluate the effects of the climatic changes on the Chaâteauguay River basin hydrology. American Geophysical Union Joint Assembly, May 17-21, Montréal, Canada.
    • (2004)
    • Khalili, M.1    Leconte, R.2    Brissette, F.3
  • 19
    • 58549096901 scopus 로고    scopus 로고
    • Using MODAWEC to generate daily weather data for the EPIC model
    • DOI:10.1016/j.envsoft.2008.10.008.
    • Liu J, Williams JR, Wang X, Yang H. 2009. Using MODAWEC to generate daily weather data for the EPIC model. Environmental Modelling & Software 24: 655-664, DOI:10.1016/j.envsoft.2008.10.008.
    • (2009) Environmental Modelling & Software , vol.24 , pp. 655-664
    • Liu, J.1    Williams, J.R.2    Wang, X.3    Yang, H.4
  • 20
    • 80052951008 scopus 로고    scopus 로고
    • Comparison of three approaches for stochastic simulation of multi-site precipitation occurrence
    • Engineers Australia: Canberra, Australia.
    • Mehrotra R, Srikanthan R, Sharma A. 2005. Comparison of three approaches for stochastic simulation of multi-site precipitation occurrence. In: Twenty-ninth Hydrology and Water Resources Symposium, Engineers Australia: Canberra, Australia.
    • (2005) Twenty-ninth Hydrology and Water Resources Symposium
    • Mehrotra, R.1    Srikanthan, R.2    Sharma, A.3
  • 21
    • 33750440196 scopus 로고    scopus 로고
    • A comparison of three stochastic multi-site precipitation occurrence generators
    • DOI:10.1016/j.jhydrol.2006.05.016.
    • Mehrotra R, Srikanthan R, Sharma A. 2006. A comparison of three stochastic multi-site precipitation occurrence generators. Journal of Hydrology 331: 280-292, DOI:10.1016/j.jhydrol.2006.05.016.
    • (2006) Journal of Hydrology , vol.331 , pp. 280-292
    • Mehrotra, R.1    Srikanthan, R.2    Sharma, A.3
  • 22
    • 77949843045 scopus 로고    scopus 로고
    • Assessment of a Single-site Daily Rainfall Generator in the Middle East
    • Bob Werner (ed.), IEEE Computer Society: California; -, DOI:10.1109/ICECS.2009.19.
    • Mhanna M, Bauwens W. 2009. Assessment of a Single-site Daily Rainfall Generator in the Middle East. In Proc 2nd International Conference on Environmental and Computer Science, Bob Werner (ed.), IEEE Computer Society: California; 14-18, DOI:10.1109/ICECS.2009.19.
    • (2009) Proc 2nd International Conference on Environmental and Computer Science , pp. 14-18
    • Mhanna, M.1    Bauwens, W.2
  • 23
    • 20444444483 scopus 로고
    • The Rank Correlation Coefficient as an Indicator of the Product-Moment Correlation Coefficient for Small Samples (10-100)
    • O'Brien JJ, Griffiths JF. 1965. The Rank Correlation Coefficient as an Indicator of the Product-Moment Correlation Coefficient for Small Samples (10-100). Journal of Geophysical Research 70: 1995-1998.
    • (1965) Journal of Geophysical Research , vol.70 , pp. 1995-1998
    • O'Brien, J.J.1    Griffiths, J.F.2
  • 24
    • 4644330271 scopus 로고    scopus 로고
    • Simulation of non-Gaussian processes using fractile correlation
    • DOI:10.1016/j.probengmech.2003.09.001.
    • Phoon KK, Quek ST, Huang H. 2004. Simulation of non-Gaussian processes using fractile correlation. Probabilistic Engineering Mechanics 19: 287-292, DOI:10.1016/j.probengmech.2003.09.001.
    • (2004) Probabilistic Engineering Mechanics , vol.19 , pp. 287-292
    • Phoon, K.K.1    Quek, S.T.2    Huang, H.3
  • 26
    • 0036737018 scopus 로고    scopus 로고
    • Multisite stochastic weather models for impact studies
    • DOI:10.1002/joc.808.
    • Qian B, Corte-Real J, Xu H. 2002. Multisite stochastic weather models for impact studies. International Journal of Climatology 22: 1377-1397, DOI:10.1002/joc.808.
    • (2002) International Journal of Climatology , vol.22 , pp. 1377-1397
    • Qian, B.1    Corte-Real, J.2    Xu, H.3
  • 27
    • 35248812683 scopus 로고    scopus 로고
    • The most general methodology to create a valid correlation matrix for risk management and option pricing purposes
    • Rebonato R, Jäckel P. 2000. The most general methodology to create a valid correlation matrix for risk management and option pricing purposes. Journal of Risk 2: 17-27.
    • (2000) Journal of Risk , vol.2 , pp. 17-27
    • Rebonato, R.1    Jäckel, P.2
  • 28
    • 0019353887 scopus 로고
    • Stochastic simulation of daily precipitation, temperature, and solar radiation
    • DOI:10.1029/WR017i001p00182.
    • Richardson CW. 1981. Stochastic simulation of daily precipitation, temperature, and solar radiation. Water Resources Research 17: 182-190, DOI:10.1029/WR017i001p00182.
    • (1981) Water Resources Research , vol.17 , pp. 182-190
    • Richardson, C.W.1
  • 29
    • 35348834217 scopus 로고    scopus 로고
    • The gamma coefficient revisited
    • DOI:10.1016/j.spl.2007.04.009.
    • Rousson V. 2007. The gamma coefficient revisited. Statistics and Probability Letters 77: 1696-1704, DOI:10.1016/j.spl.2007.04.009.
    • (2007) Statistics and Probability Letters , vol.77 , pp. 1696-1704
    • Rousson, V.1
  • 30
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • DOI:10.2307/2958889.
    • Schwarz G. 1978. Estimating the dimension of a model. Annals of Statistics 6: 461-464, DOI:10.2307/2958889.
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 31
    • 0001665758 scopus 로고    scopus 로고
    • A nonparametric approach for daily rainfall simulation
    • DOI:10.1016/S0378-4754(99)00016-6.
    • Sharma A, Lall U. 1999. A nonparametric approach for daily rainfall simulation. Mathematics and Computers in Simulation 48: 361-371, DOI:10.1016/S0378-4754(99)00016-6.
    • (1999) Mathematics and Computers in Simulation , vol.48 , pp. 361-371
    • Sharma, A.1    Lall, U.2
  • 32
    • 84861991452 scopus 로고    scopus 로고
    • Stochastic Generation of Daily Rainfall Data at a Number of Sites. Cooperative Research Centre for Catchment Hydrology, Technical Report: 05/7.
    • Srikanthan R. 2005. Stochastic Generation of Daily Rainfall Data at a Number of Sites. Cooperative Research Centre for Catchment Hydrology, Technical Report: 05/7.
    • (2005)
    • Srikanthan, R.1
  • 33
    • 84861982362 scopus 로고
    • Stochastic generation of rainfall and evaporation data. Water Resources Council: Canberra, Technical Paper
    • Srikanthan R, McMahon TA. 1985. Stochastic generation of rainfall and evaporation data. Water Resources Council: Canberra, Technical Paper; 84.
    • (1985) , pp. 84
    • Srikanthan, R.1    McMahon, T.A.2
  • 34
    • 0035698908 scopus 로고    scopus 로고
    • Stochastic generation of annual, monthly and daily climate data: a review
    • DOI:10.5194/hess-5-653-2001.
    • Srikanthan R, McMahon TA. 2001. Stochastic generation of annual, monthly and daily climate data: a review. Hydrology and Earth System Sciences 5: 653-670, DOI:10.5194/hess-5-653-2001.
    • (2001) Hydrology and Earth System Sciences , vol.5 , pp. 653-670
    • Srikanthan, R.1    McMahon, T.A.2
  • 35
    • 84967431964 scopus 로고    scopus 로고
    • Stochastic generation of multi-site rainfall occurrences. World Scientific Publishing Company. Advances in Geosciences:
    • Srikanthan R, Pegram GGS. 2006. Stochastic generation of multi-site rainfall occurrences. World Scientific Publishing Company. Advances in Geosciences: Hydrological Science 6: 1-10.
    • (2006) Hydrological Science , vol.6 , pp. 1-10
    • Srikanthan, R.1    Pegram, G.G.S.2
  • 36
    • 65449139416 scopus 로고    scopus 로고
    • A nested multisite daily rainfall stochastic generation model
    • DOI:10.1016/j.jhydrol.2009.03.025.
    • Srikanthan R, Pegram GGS. 2009. A nested multisite daily rainfall stochastic generation model. Journal of Hydrology 371: 142-153, DOI:10.1016/j.jhydrol.2009.03.025.
    • (2009) Journal of Hydrology , vol.371 , pp. 142-153
    • Srikanthan, R.1    Pegram, G.G.S.2
  • 38
    • 84861970766 scopus 로고    scopus 로고
    • Copula-type representation for random couples with Bernoulli margins. Discussion Paper 01-18, Institut de Statistique, Université catholique de LouvaLouvain-la-Neuve, Belgium.
    • Tajar A, Denuit M, Lambert P. 2001. Copula-type representation for random couples with Bernoulli margins. Discussion Paper 01-18, Institut de Statistique, Université catholique de LouvaLouvain-la-Neuve, Belgium.
    • (2001)
    • Tajar, A.1    Denuit, M.2    Lambert, P.3
  • 39
    • 0001643727 scopus 로고
    • A note on the gamma distribution
    • Thom HCS. 1958. A note on the gamma distribution. Monthly Weather Review 86: 117-122.
    • (1958) Monthly Weather Review , vol.86 , pp. 117-122
    • Thom, H.C.S.1
  • 40
    • 34249883548 scopus 로고    scopus 로고
    • Fitting a multisite daily rainfall model to New Zealand data
    • DOI:10.1016/j.jhydrol.2007.03.020.
    • Thompson CS, Thomson PJ, Zheng X. 2007. Fitting a multisite daily rainfall model to New Zealand data. Journal of Hydrology 340: 25-39, DOI:10.1016/j.jhydrol.2007.03.020.
    • (2007) Journal of Hydrology , vol.340 , pp. 25-39
    • Thompson, C.S.1    Thomson, P.J.2    Zheng, X.3
  • 41
    • 18144390642 scopus 로고    scopus 로고
    • Stochastic Modelling of Daily Precipitation for Canada
    • Wan H, Zhang X, Barrow EM. 2005. Stochastic Modelling of Daily Precipitation for Canada. Atmosphere Ocean 43: 23-32.
    • (2005) Atmosphere Ocean , vol.43 , pp. 23-32
    • Wan, H.1    Zhang, X.2    Barrow, E.M.3
  • 42
    • 0032170226 scopus 로고    scopus 로고
    • Multisite generalization of a daily stochastic precipitation generation model
    • DOI:10.1016/S0022-1694(98)00186-3.
    • Wilks DS. 1998. Multisite generalization of a daily stochastic precipitation generation model. Journal of Hydrology 210: 178-191, DOI:10.1016/S0022-1694(98)00186-3.
    • (1998) Journal of Hydrology , vol.210 , pp. 178-191
    • Wilks, D.S.1
  • 43
    • 0033618903 scopus 로고    scopus 로고
    • Simultaneous stochastic simulation of daily precipitation, temperature and solar radiation at multiple sites in complex terrain
    • DOI:10.1016/S0168-1923(99)00037-4.
    • Wilks DS. 1999. Simultaneous stochastic simulation of daily precipitation, temperature and solar radiation at multiple sites in complex terrain. Agricultural and Forest Meteorology 96: 85-101, DOI:10.1016/S0168-1923(99)00037-4.
    • (1999) Agricultural and Forest Meteorology , vol.96 , pp. 85-101
    • Wilks, D.S.1
  • 45
    • 0033429287 scopus 로고    scopus 로고
    • The weather generation game: a review of stochastic weather models
    • DOI:10.1177/030913339902300302.
    • Wilks DS, Wilby RL. 1999. The weather generation game: a review of stochastic weather models. Progress in Physical Geography 23: 329-357, DOI:10.1177/030913339902300302.
    • (1999) Progress in Physical Geography , vol.23 , pp. 329-357
    • Wilks, D.S.1    Wilby, R.L.2
  • 46
    • 0002891227 scopus 로고
    • Modelling daily precipitation-progress and problems
    • Walden AT, Guttorp P (Eds), Edward Arnold: London
    • Woolhiser DA. 1992. Modelling daily precipitation-progress and problems. In Statistics in the environmental and earth sciences, Walden AT, Guttorp P (Eds), Edward Arnold: London; 71-89.
    • (1992) Statistics in the environmental and earth sciences , pp. 71-89
    • Woolhiser, D.A.1
  • 47
    • 37549012996 scopus 로고    scopus 로고
    • Mixture model of generalized chain-dependent processes and its application to simulation of interannual variability of daily rainfall
    • DOI:10.1016/j.jhydrol.2007.10.061.
    • Zheng X, Katz RW. 2008a. Mixture model of generalized chain-dependent processes and its application to simulation of interannual variability of daily rainfall. Journal of Hydrology 349: 191-199, DOI:10.1016/j.jhydrol.2007.10.061.
    • (2008) Journal of Hydrology , vol.349 , pp. 191-199
    • Zheng, X.1    Katz, R.W.2
  • 48
    • 55249109593 scopus 로고    scopus 로고
    • Simulation of spatial dependence in daily rainfall using multisite generators
    • DOI:10.1029/2007WR006399.
    • Zheng X, Katz RW. 2008b. Simulation of spatial dependence in daily rainfall using multisite generators. Water Resources Research 44: W09403, DOI:10.1029/2007WR006399.
    • (2008) Water Resources Research , vol.44
    • Zheng, X.1    Katz, R.W.2


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