A parameterization of slantwise convection in the WRF model

نویسندگان

چکیده

Abstract In this study, we introduce a parameterization scheme for slantwise convection (SC) to be considered models that are too coarse resolve explicitly (with horizontal grid spacing coarser than 15 km or less). This SC operates in locally defined 2D cross section perpendicular the deep-layer-averaged thermal wind. It applies momentum tendency adjust environment toward neutrality with prescribed adjustment time scale. Condensational heating and associated moisture loss also considered. To evaluate added value of scheme, implement it Weather Research Forecasting (WRF) Model supplement existing cumulus schemes upright test two different numerical setups: idealized, unforced release conditional symmetric instability (CSI) an initially conditionally stable environment, 3D real-data precipitation event containing both CSI along cold front cyclonic storm near United Kingdom. Both cases show significant improvements coarse-gridded (40-km) simulations when parameterizing convection. Compared 40-km only counterparts additional exhibit larger extent neutralization, generate stronger grid-resolved circulation, produce greater amounts precipitation, all better agreement corresponding fine-gridded reference simulations. Given importance midlatitude weather systems, our results suggest there exist potential benefits general circulation models.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Advances in the WRF model for convection-resolving forecasting

The Weather Research and Forecasting (WRF) Model has been designed to be an efficient and flexible simulation system for use across a broad range of weather-forecast and idealized-research applications. Of particular interest is the use of WRF in nonhydrostatic applications in which moist-convective processes are treated explicitly, thereby avoiding the ambiguities of cumulus parameterization. ...

متن کامل

investigating the feasibility of a proposed model for geometric design of deployable arch structures

deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...

Incorporating An Advanced Aerosol Activation Parameterization into WRF-CAM5: Model

Yang Zhang, Xin Zhang, Kai Wang, Jian He, L. Ruby Leung, Jiwen Fan, and Athanasios 3 Nenes 5 4 5 Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, North Carolina, 6 USA. 7 Collaborative Innovation Center for Regional Environmental Quality, Beijing 100084, China} 8 Pacific Northwest National Laboratory, Richland, Washington, USA. 9 School of Earth a...

متن کامل

a swot analysis of the english program of a bilingual school in iran

با توجه به جایگاه زبان انگلیسی به عنوان زبانی بین المللی و با در نظر گرفتن این واقعیت که دولت ها و مسئولان آموزش و پرورش در سراسر جهان در حال حاضر احساس نیاز به ایجاد موقعیتی برای کودکان جهت یاد گیری زبان انگلیسی درسنین پایین در مدارس دو زبانه می کنند، تحقیق حاضر با استفاده از مدل swot (قوت ها، ضعف ها، فرصتها و تهدیدها) سعی در ارزیابی مدرسه ای دو زبانه در ایران را دارد. جهت انجام این تحقیق در م...

15 صفحه اول

Implementation of the Probabilistic CuP Cumulus Parameterization in WRF

Implementation of the Probabilistic CuP Cumulus Parameterization in WRF William I. Gustafson Jr. and Larry K. Berg Atmospheric Science and Global Change Division Pacific Northwest National Laboratory, Richland, WA

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of the Atmospheric Sciences

سال: 2022

ISSN: ['1520-0469', '0022-4928']

DOI: https://doi.org/10.1175/jas-d-21-0131.1