Real-time observation and prediction of physical processes in a typhoon-affected lake

A nowcasting system integrating observations and a numerical model was developed to better understand the spatial distributions and temporal variations in the dynamics of a small, subtropical lake occasionally influenced by severe rainstorms. The nowcasting system was used to monitor real-time meteorological conditions and thermal structures, to provide spatial information on the thermal and flow dynamics from model predictions, and to compare the predictions with the observations. The system was also able to determine whether the instruments collecting field data were performing correctly using telemetry operations. The nowcasting system was initially operated in the spring of 2009 in Yuan-Yang Lake, Taiwan. Rainstorm-induced mixing occurred due to Typhoon Morakot during August 7–9, 2009. The mixing was observed by the instruments, and the spatial distributions and temporal variations during the mixing were successfully predicted by the three-dimensional hydrodynamic lake model. A quantitative comparison of the energy balances among the heat, wind, and water inflow inputs to the lake implied that the typhoon-induced mixing was primarily caused by strong winds. The model predictions showed that the lake experienced mixing and flooding (large amounts of inflow/outflow discharges), resulting in homogenous temperatures and flows that moved to the outlet of the lake.

[1]  D. Beletsky,et al.  Modeling circulation and thermal structure in Lake Michigan: Annual cycle and interannual variability , 2001 .

[2]  G. Mellor,et al.  A Numerical Study of the Mediterranean Sea Circulation , 1995 .

[3]  Laurence C. Breaker,et al.  Towards an operational nowcast/forecast system for the U.S. east coast , 1996 .

[4]  D. Schwab,et al.  Initial Implementation of the Great Lakes Forecasting System: A Real-Time System for Predicting Lake Circulation and Thermal Structure , 1994 .

[5]  Jin Wu Wind‐stress coefficients over sea surface from breeze to hurricane , 1982 .

[6]  Heinz G. Stefan,et al.  Stream temperature/air temperature relationship : a physical interpretation , 1999 .

[7]  S. Condie,et al.  Estimating Stratification in Shallow Water Bodies from Mean Meteorological Conditions , 2001 .

[8]  S. Condie,et al.  Stratification and Circulation in a Shallow Turbid Waterbody , 2002 .

[9]  P. Hanson,et al.  Wireless Sensor Networks for Ecology , 2005 .

[10]  Steven A. Orszag,et al.  Large Eddy Simulation of Complex Engineering and Geophysical Flows , 2010 .

[11]  K. Hamagami,et al.  Mixing by wind-induced flow and thermal convection in a small, shallow and stratified lake , 2009, Paddy and Water Environment.

[12]  Lie-Yauw Oey,et al.  A wetting and drying scheme for POM , 2005 .

[13]  A Preliminary Credibility Analysis of the Lake Erie Portion of the Great Lakes Forecasting System for Springtime Heating Conditions , 2013 .

[14]  B. Henderson-Sellers Calculating the Surface Energy Balance for Lake and Reservoir Modeling: A Review (Paper 6R0209) , 1986 .

[15]  John C. Warner,et al.  Performance of four turbulence closure models implemented using a generic length scale method , 2005 .

[16]  R. Darner,et al.  Nowcasting Beach Advisories at Ohio Lake Erie Beaches , 2007 .

[17]  A. E. Gill Atmosphere-Ocean Dynamics , 1982 .

[18]  Roger C. Bales,et al.  Estimating Stream Temperature from Air Temperature: Implications for Future Water Quality , 2005 .

[19]  Alan F. Blumberg,et al.  Three-Dimensional Hydrothermal Model of Onondaga Lake, New York , 1999 .

[20]  D. Timothy Gerber,et al.  Comparison of leaf morphology among submersed species of Myriophyllum (Haloragaceae) from different habitats and geographical distributions , 1994 .

[21]  Katherine D. McMahon,et al.  Typhoons initiate predictable change in aquatic bacterial communities , 2008 .

[22]  P. Smolarkiewicz A Fully Multidimensional Positive Definite Advection Transport Algorithm with Small Implicit Diffusion , 1984 .

[23]  P. Bates,et al.  3D numerical modelling of open-channel flow with submerged vegetation , 2001 .

[24]  H. L. Penman Natural evaporation from open water, bare soil and grass , 1948, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[25]  J. R. Romero,et al.  Spatial‐temporal variability in surface layer deepening and lateral advection in an embayment of Lake Victoria, East Africa , 2002 .

[26]  I. Vardavas,et al.  Estimation of lake evaporation from standard meteorological measurements: application to four Australian lakes in different climatic regions , 1996 .

[27]  C. O. Clark Storage and the Unit Hydrograph , 1945 .

[28]  Chao Wang,et al.  Effects of Aquatic Vegetation on Flow in the Nansi Lake and Its Flow Velocity Modeling , 2006 .

[29]  K. Hamagami,et al.  Structure of thermal convection development based on inhomogeneous water surface cooling , 2008, Paddy and Water Environment.

[30]  Donna S. Francy,et al.  Escherichia coli at Ohio Bathing Beaches—Distribution, Sources, Wastewater Indicators, and Predictive Modeling , 2003 .

[31]  J. Hoke,et al.  The Initialization of Numerical Models by a Dynamic-Initialization Technique , 1976 .

[32]  Fredrick H. M. Semazzi,et al.  Idealized simulation of hydrodynamic characteristics of Lake Victoria that potentially modulate regional climate , 2009 .

[33]  J. Imberger,et al.  Classification and dynamic simulation of the vertical density structure of lakes1 , 1984 .

[34]  S. Schladow,et al.  Dynamics of Large Polymictic Lake. II: Numerical Simulations , 2003 .

[35]  J. Deardorff Convective Velocity and Temperature Scales for the Unstable Planetary Boundary Layer and for Rayleigh Convection , 1970 .

[36]  Anthony Vodacek,et al.  Circulation and Stream Plume Modeling in Conesus Lake , 2008 .

[37]  A. Blumberg,et al.  A Description of a Three‐Dimensional Coastal Ocean Circulation Model , 2013 .