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BL
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| Record Number
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891361
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| Title & Author
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Current trends in the representation of physical processes in weather and climate models /\ editors, David A. Randall, J. Srinivasan, Ravi S. Nanjundiah and Parthasarathi Mukhopadhyay.
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| Publication Statement
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Singapore :: Springer,, [2019]
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, ©2019
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| Series Statement
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Springer atmospheric sciences
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| Page. NO
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1 online resource :: illustrations
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| ISBN
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9789811333958
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: 9789811333965
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: 9789811333972
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: 9811333955
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: 9811333963
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: 9811333971
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9789811333958
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| Bibliographies/Indexes
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Includes bibliographical references.
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| Contents
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Intro; Foreword; Preface; Acknowledgements; Contents; About the Editors; Model Systematic Errors in the Annual Cycle of Monsoon: Inferences from Process-Based Diagnostics; 1 Introduction; 2 Coupled Nature of the Monsoon-Tropical Indian Ocean Climate Systems; 2.1 Monsoon Annual Cycle; 2.2 Ocean-Atmosphere Interactions in Shaping Monsoon Precipitation; 3 Persistent Model Errors over the Asian-Australian Monsoon Region; 3.1 Precipitation and Wind Stress Errors; 3.2 SST and Thermocline Depth Errors; 3.3 Misrepresentation of the Equatorial WJs and Coupled Processes Along the EIO
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4 Possible Sources for Monsoon Precipitation Errors4.1 Atmospheric Processes; 4.2 Model Resolution and Orography; 4.3 Coupled Processes; 5 Moisture and MSE Budget Analyses; 5.1 Biases in Specific Humidity and Budget Equations; 5.2 Budget Diagnostics During Boreal Summer; 5.3 Budget Diagnostics During Other Seasons; 6 Discussion and Recommendations; References; Challenges in Tropical Numerical Weather Prediction at ECMWF; 1 Evolution of the Observing System; 2 Representing Model Uncertainty; 3 Tropical Convectively Coupled Waves; 4 Diurnal Cycle of Convection
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4.1 Unified Ice4.2 Graupel/Hail; 4.3 Convective Microphysics; 4.4 Aerosol-Cloud Interactions; 4.5 Numerics; 4.6 Interactions with Other Schemes; 5 Path Forward; References; Microphysical Representations and Their Consistency with In Situ and Remote-Sensing Observations; 1 Single Moment Assumption; 2 Double-Moment Assumption; 3 In Situ Observed Correlations; 4 Consistency with Satellite Observations; References; Convective Available Potential Energy and Precipitation in a Cloud-Resolving Model Simulation of Indian Summer Monsoon; 1 Introduction; 1.1 CAPE and CINE Calculations
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5 The HCF Convective Trigger for Climate Applications: The Community Earth System Model6 Future Advances of the HCF; 7 Final Remarks; References; Cloud Microphysics Across Scales for Weather and Climate; 1 Introduction; 2 Methods for Simulating Microphysics; 2.1 What Microphysics Does; 2.2 Types of Schemes; 2.3 How We Simulate Microphysics; 2.4 Different Scales and Complexity for Different Types of Models; 3 Microphysics in the Context of Cloud Schemes; 3.1 Microphysics in a Cloud Scheme; 3.2 Scales and Sub-grid Assumptions; 3.3 Discussion/Example; 4 Current Issues/Uncertainties
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5 The Tropical and Subtropical Boundary Layer5.1 Cloud and Radiation Biases; 5.2 Winds and Convective Momentum Transport; 6 Deep Convection at Higher Resolution; 7 Conclusions; References; Convection Initiation in Climate Models Using the Heated Condensation Framework: A Review; 1 Introduction; 1.1 Convective Triggering: Background and Gaps in Knowledge; 1.2 Where the Heated Condensation Framework Fits In; 2 The Heated Condensation Frameworks: Theory and Formulation; 3 Validating the HCF Theory; 4 The HCF Convective Trigger for Forecast Applications: The CFSv2 Model
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| Abstract
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This book focuses on the development of physical parameterization over the last 2 to 3 decades and provides a roadmap for its future development. It covers important physical processes: convection, clouds, radiation, land-surface, and the orographic effect. The improvement of numerical models for predicting weather and climate at a variety of places and times has progressed globally. However, there are still several challenging areas, which need to be addressed with a better understanding of physical processes based on observations, and to subsequently be taken into account by means of improved parameterization. And this is all the more important since models are increasingly being used at higher horizontal and vertical resolutions. Encouraging debate on the cloud-resolving approach or the hybrid approach with parameterized convection and grid-scale cloud microphysics and its impact on models' intrinsic predictability, the book offers a motivating reference guide for all researchers whose work involves physical parameterization problems and numerical models.
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| Subject
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Climatology-- Mathematical models.
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| Subject
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Weather forecasting-- Mathematical models.
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Climatology-- Mathematical models.
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SCIENCE-- Earth Sciences-- Geography.
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SCIENCE-- Earth Sciences-- Geology.
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| Subject
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Weather forecasting-- Mathematical models.
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| Dewey Classification
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551.63
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| LC Classification
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QC995
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| Added Entry
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Mukhopadhyay, Parthasarathi
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Nanjundiah, Ravi S.
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Randall, David A., (David Allan),1948-
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Srinivasan, Jagannathan
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