scholarly journals Impact of Tropical Cyclone on Regional Climate Modeling over East Asia in Summer and the Effect of Lateral Boundary Scheme

10.5772/55735 ◽  
2013 ◽  
Author(s):  
Zhong Zhong ◽  
Yijia Hu ◽  
Xiaodan Wang ◽  
Wei Lu
Keyword(s):  
Tropical Cyclone ◽  
East Asia ◽  
Climate Modeling ◽  
Regional Climate ◽  
Regional Climate Modeling ◽  
Lateral Boundary

scholarly journals Estimating the Uncertainty in a Regional Climate Model Related to Initial and Lateral Boundary Conditions

2005 ◽  
Vol 18 (7) ◽  
pp. 917-933 ◽  
Author(s):  
Wanli Wu ◽  
Amanda H. Lynch ◽  
Aaron Rivers
Keyword(s):  
Boundary Conditions ◽  
Climate Model ◽  
Initial Conditions ◽  
Climate Modeling ◽  
Regional Climate ◽  
Regional Climate Modeling ◽  
Regional Model ◽  
Lateral Boundary ◽  
Lateral Boundary Conditions ◽  
The Impact

Abstract There is a growing demand for regional-scale climate predictions and assessments. Quantifying the impacts of uncertainty in initial conditions and lateral boundary forcing data on regional model simulations can potentially add value to the usefulness of regional climate modeling. Results from a regional model depend on the realism of the driving data from either global model outputs or global analyses; therefore, any biases in the driving data will be carried through to the regional model. This study used four popular global analyses and achieved 16 driving datasets by using different interpolation procedures. The spread of the 16 datasets represents a possible range of driving data based on analyses to the regional model. This spread is smaller than typically associated with global climate model realizations of the Arctic climate. Three groups of 16 realizations were conducted using the fifth-generation Pennsylvania State University–National Center for Atmospheric Research (PSU–NCAR) Mesoscale Model (MM5) in an Arctic domain, varying both initial and lateral boundary conditions, varying lateral boundary forcing only, and varying initial conditions only. The response of monthly mean atmospheric states to the variations in initial and lateral driving data was investigated. Uncertainty in the regional model is induced by the interaction between biases from different sources. Because of the nonlinearity of the problem, contributions from initial and lateral boundary conditions are not additive. For monthly mean atmospheric states, biases in lateral boundary conditions generally contribute more to the overall uncertainty than biases in the initial conditions. The impact of initial condition variations decreases with the simulation length while the impact of variations in lateral boundary forcing shows no clear trend. This suggests that the representativeness of the lateral boundary forcing plays a critical role in long-term regional climate modeling. The extent of impact of the driving data uncertainties on regional climate modeling is variable dependent. For some sensitive variables (e.g., precipitation, boundary layer height), even the interior of the model may be significantly affected.

scholarly journals Why Are Tropical Cyclone Tracks over the Western North Pacific Sensitive to the Cumulus Parameterization Scheme in Regional Climate Modeling? A Case Study for Megi (2010)

2014 ◽  
Vol 142 (3) ◽  
pp. 1240-1249 ◽  
Author(s):  
Yuan Sun ◽  
Zhong Zhong ◽  
Wei Lu ◽  
Yijia Hu
Keyword(s):  
Tropical Cyclone ◽  
Climate Modeling ◽  
Deep Convection ◽  
Regional Climate ◽  
Lower Troposphere ◽  
Western Pacific Subtropical High ◽  
Regional Climate Modeling ◽  
Cumulus Parameterization ◽  
Parameterization Schemes ◽  
Cumulus Parameterization Schemes

Abstract The Weather Research and Forecasting Model is employed to simulate Tropical Cyclone (TC) Megi (2010) using the Grell–Devenyi (GD) and Betts–Miller–Janjić (BMJ) cumulus parameterization schemes, respectively. The TC track can be well reproduced with the GD scheme, whereas it turns earlier than observations with the BMJ scheme. The physical mechanism behind different performances of the two cumulus parameterization schemes in the TC simulation is revealed. The failure in the simulation of the TC track with the BMJ scheme is attributed to the overestimation of anvil clouds, which extend far away from the TC center and reach the area of the western Pacific subtropical high (WPSH). Such extensive anvil clouds, which result from the excessively deep convection in the eyewall, eventually lead to a large bias in microphysics latent heating. The warming of the upper troposphere due to the condensation in anvil clouds coupled with the cooling of the lower troposphere due to precipitation evaporation cause a weakening of the WPSH, which in turn is favorable for the early recurvature of Megi.

Regional Climate Modeling of China and East Asia

2008 ◽  
pp. 345-408
Author(s):  
Congbin Fu ◽  
Zhihong Jiang ◽  
Zhaoyong Guan ◽  
Jinhai He ◽  
Zhongfeng Xu
Keyword(s):  
East Asia ◽  
Climate Modeling ◽  
Regional Climate ◽  
Regional Climate Modeling

Regional climate modeling: Should one attempt improving on the large scales? Lateral boundary condition scheme: Any impact?

2010 ◽  
Vol 19 (3) ◽  
pp. 237-246 ◽  
Author(s):  
Katarina Veljovic ◽  
Borivoj Rajkovic ◽  
Michael J. Fennessy ◽  
Eric L. Altshuler ◽  
Fedor Mesinger
Keyword(s):  
Boundary Condition ◽  
Climate Modeling ◽  
Regional Climate ◽  
Regional Climate Modeling ◽  
Lateral Boundary Condition ◽  
Lateral Boundary

scholarly journals Impacts of modified Richards equation on RegCM4 regional climate modeling over East Asia

2014 ◽  
Vol 119 (22) ◽  
pp. 12,642-12,659 ◽  
Author(s):  
Yan Yu ◽  
Zhenghui Xie ◽  
Xubin Zeng
Keyword(s):  
East Asia ◽  
Climate Modeling ◽  
Regional Climate ◽  
Regional Climate Modeling ◽  
Richards Equation

Lateral boundary relaxation and large scale nudging in RCM runs

2020 ◽  
Author(s):  
Fedor Mesinger ◽  
Katarina Veljovic ◽  
Sin Chan Chou
Keyword(s):  
Large Scale ◽  
Climate Modeling ◽  
Regional Climate ◽  
Regional Climate Modeling ◽  
Scientific Basis ◽  
Driver Model ◽  
Limited Area ◽  
Lateral Boundary ◽  
Limited Area Model ◽  
Area Model

<p>Almost universally, in Regional Climate Modeling (RCM) integrations, Davies’ relaxation lateral boundary conditions are applied. They force variables in a number of rows around the boundary to conform to the driver global model values, completely at the boundary, and less and less toward the inside of the integration domain. Very often, in addition, investigators apply so-called large scale or spectral nudging inside the domain, forcing the integration variables not to depart much from those of the driver model.</p><p>It is pointed out that there is no scientific basis for these two practices. So why are they used? In particular for the former of these two, it is suggested that reasons must be either a belief that this is a practice RCM should follow, or a technique to address numerical issues of the limited area model used, or a combination of the two.  For the latter, a belief only.</p><p>Examples are shown that, in the absence of these two stratagems, the limited area model can improve on large scales inside its domain. This demonstrates that their use, aimed to force variables inside the domain not to depart much from the driver model data, should be detrimental, if possible numerical issues of the model used were to be remedied.</p>

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