In This Thesis, Diverse Aspects Relating To Numerical Modeling Of Ocean Waves Were Investigated. Efforts Were Made To Study And Simultaneously Provide Better Parameterization Of Source/Sink Mechanisms In The Energy Balance Equation Applicable For A Third Generation Wave Prediction Model (E.G. Wam). A Better Formulation For Stability Dependent Sea-Surface Drag Coefficient Has Been Obtained Through Analysis Of ‘Insitu’ Buoy Measurements Off Korean Seas, Which Is Then Compared With Two Well Known Formulations Of Similar Kind. Based On Toba’s 3/2 Power Law, An Efficient Parameterized Relation Between Wave Age And Drag Coefficient Is Developed. This Relation Was Then Used To Study Influence Of Young And Mature Waves Which Co-Exist In A Chaotic Sea-Surface. The Overall Merit Of This Proposed Formulation Is Also Being Discussed. The Present Stateof- Art Wave Models Do Not Account For Muddy Bed Wave Attenuation In Their Model Physics. Understanding Its Importance In Context To The Energy Balance Equation In Ocean Wave Modeling, A New Theoretical Formulation For Wave Attenuation In Muddy Bottoms Has Been Developed. The Relevance And Importance Of This Formulation Has Been Studied Through Several Synthetic Experiments And Finally Its Implication On Coastal Structures Has Been Reported. The Effect Of Rain In Modifying Prevailing Sea-Surface Roughness Has Also Been Investigated. Though Very Few Studies In Past Have Been Conducted In This Area, The Importance Of Rain As An Attenuating Mechanism For Surface Waves Has Been Reported In These Earlier Works. A New Theoretical Formulation For Rain Induced Surface Roughness Is Developed. The Relevance And Strength Of The Proposed Formulation Had Been Thoroughly Validated Both Qualitatively And Quantitatively. Further, A Feasibility Study Was Performed By Incorporating This Formula In Third Generation Wam Model. Simulation Experiment Was Also Carried Out For A Realistic Extreme Event (Mala Cyclone In The Indian Ocean), And The Wam Computed Wave Heights Were Skill Assessed With Available Satellite Based Measurements Of Gfo-I And Jason-1. Finally, The Role Of Soft Computing Tool, Genetic Algorithm (Ga) Has Been Explored To Finds Its Applicability In Short-Range Prediction Of Two Ocean Parameters Viz; Significant Wave Height And Sea-Surface Temperature (Sst). Key Words: Drag Coefficient, Wave Age, Muddy Bottom, Parameterization, Sea Surface Roughness, Genetic Algorithm.