LEADER 05569nam 2200733Ia 450 001 9910785098703321 005 20230721031009.0 010 $a1-281-91865-2 010 $a9786611918651 010 $a981-270-891-X 035 $a(CKB)1000000000408355 035 $a(EBL)1193435 035 $a(SSID)ssj0000288126 035 $a(PQKBManifestationID)11248423 035 $a(PQKBTitleCode)TC0000288126 035 $a(PQKBWorkID)10372428 035 $a(PQKB)11744590 035 $a(WSP)00006494v6 035 $a(Au-PeEL)EBL1193435 035 $a(CaPaEBR)ebr10698792 035 $a(CaONFJC)MIL191865 035 $a(OCoLC)714877387 035 $a(MiAaPQ)EBC1193435 035 $a(EXLCZ)991000000000408355 100 $a20060823d2007 uy 0 101 0 $aeng 135 $aurcuu---unuuu 181 $ctxt 182 $cc 183 $acr 200 00$aAdvances in geosciences$b[electronic resource] $hVolume 6$iHydrological science (HS) /$feditor-in-chief, Wing-Huen Ip; volume editor-in-chief, Namsik Park 210 $aHackensack, NJ $cWorld Scientific$dc2007 215 $a1 online resource (224 p.) 225 0 $aAdvances in geosciences ;$v6 300 $aDescription based upon print version of record. 311 $a981-270-985-1 320 $aIncludes bibliographical references. 327 $aCONTENTS; Stochastic Generation of Multi-Site Rainfall Occurrences Ratnasingham Srikanthan and Geoffrey G. S. Pegram; 1. Introduction; 2. Multi-Site Rainfall Occurrence Model; 2.1. Hidden covariance model; 3. Daily Rainfall Data; 4. Discussion of Results; 5. Conclusions; Acknowledgments; References; A Spatial-Temporal Downscaling Approach for Construction of Intensity-Duration-Frequency Curves in Consideration of GCM-Based Climate Change Scenarios Tan-Danh Nguyen, Van-Thanh-Van Nguyen and Philippe Gachon; 1. Introduction; 2. The Spatial-Temporal Downscaling Method 327 $a2.1. Spatial downscaling technique using SDSM 2.2. A temporal downscaling method using the scaling GEV distribution; 3. Numerical Application; 4. Conclusions; References; Development and Applications of the Advanced Regional Eta-Coordinate Numerical Heavy-Rain Prediction Model System in China Cui Chunguang, Li Jun and Shi Yan; 1. Development of Advanced Regional Eta Model; 2. Application of AREM in China; 2.1. Precipitation forecast experiments of different operational models; 2.2. Temporal and spatial evolvement forecast experiment of AREM 327 $a2.3. Simulation experiments of some important rain event 2.4. Data assimilation experiments based on AREM; 3. Considerations for Further Development; References; Method of Correcting Variance of Point Monthly Rainfall Directly Estimated Using Low Frequent Observations From Space Eiichi Nakakita, Syunsuke Okane and Lisako Konoshima; 1. Introduction; 2. Correction of the Variance of Point Monthly Rainfall; 2.1. Feasibility of correction; 2.2. Modeling the relationship between the sample variance of the monthly precipitation and the number of observations 327 $a3. Verification of the Model Equation of the Sample Variance 3.1. Verification using information from the ground-based radar; 3.2. Verification using information from the ground-based radar considering observation frequency of the TRMM/PR; 3.3. Validation using TRMM/PR observation; 4. Introducing Spatial Correlation and Estimation of Temporal and Spatial, Correlation Lengths; 5. Conclusions; Acknowledgments; References; Monte Carlo Simulation for Calculating Drought Characteristics Chavalit Chaleeraktrakoon and Supamit Noikumsin; 1. Introduction; 2. Simplified Monte Carlo Simulation Approach 327 $a3. Drought Characteristics 4. Assessment of the Simulation Approach; 4.1. Medium-scale system; 4.2. Large-scale system; 5. Summary and Conclusions; References; On Regional Estimation of Floods for Ungaged Sites Van-Thanh-Van Nguyen; 1. Introduction; 2. The Scaling Approach to Regional Estimation of Floods; 2.1. The scaling process; 2.2. The scaling GEV distribution; 3. Numerical Application; 3.1. Delineation of homogeneous regions; 3.2. Estimation of quantiles for ungaged sites; 4. Conclusions; References 327 $aDetermination of Confidence Limits for Model Estimation Using Resampling Techniques N. K. M. Nanseer, M. J. Hall and H. F. P. Van Den Boogaard 330 $aAdvances in Geosciences is the result of a concerted effort in bringing the latest results and planning activities related to earth and space science in Asia and the international arena. The Editors are all leading scientists in their research fields covering six sections: Hydrological Science (HS), Planetary Science (PS), Solar Terrestrial (ST), Solid Earth (SE), Ocean Science (OS) and Atmospheric Science (AS). The main purpose is to highlight the scientific issues essential to the study of earthquakes, tsunamis, atmospheric dust storms, climate change, drought, flood, typhoons, monsoons, spa 606 $aPlanetary meteorology 606 $aSpace environment 606 $aEarth sciences 606 $aSpace sciences 606 $aPlanetology 615 0$aPlanetary meteorology. 615 0$aSpace environment. 615 0$aEarth sciences. 615 0$aSpace sciences. 615 0$aPlanetology. 676 $a550.5 701 $aIp$b W.-H$0855808 701 $aPark$b Namsik$01521872 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910785098703321 996 $aAdvances in geosciences$93761309 997 $aUNINA