P2B.10 Comparison and validation of WRF-ARW cloud microphysics schemes during C3VP/CLEX-10 field experiment

نویسندگان

  • Yoo-Jeong Noh
  • Thomas H. Vonder Haar
چکیده

Better understanding of the vertical structures of clouds in the atmosphere is essential for more accurate radar, lidar, satellite retrievals, climate/weather numerical modeling, and even aviation safety issues regarding icing conditions (Fleishauer et al., 2002). However, an accurate estimate of liquid and ice phase hydrometeors in the clouds is still very challenging, and our limited knowledge of cloud microphysical structures and characteristics has caused clouds to be poorly represented in weather/climate models and satellite retrievals. In general, quantitative studies of cloud phase-composition and distribution in numerical modeling have been significantly limited by a lack of intensive in-situ measurements that can directly evaluate the simulated results. In this study, three different cloud microphysics schemes in the Advanced Research WRF (WRF-ARW; Skamarock et al. 2008) dynamic core are evaluated for non-precipitating midlevel cloud and snowfall cases. In order to validate the simulations, we take full advantage of rich data sources from various satellite and intensive aircraft in-situ observations. For each case, the horizontal cloud patterns from the WRF simulations are compared with MODIS (Moderate-Resolution Imaging Spectroradiometer) IR images. In particular, the vertical structures and properties of liquid and ice phase hydrometeors from two microphysics schemes are validated by using Convair-580 aircraft measurements and CloudSat products.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Evaluating the Snow Crystal Size Distribution and Density Assumptions within a Single-Moment Microphysics Scheme

The Canadian CloudSat/Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Validation Project (C3VP) was a field campaign designed to obtain aircraft, surface, and radar observations of clouds and precipitation in support of improving the simulation of snowfall and cold season precipitation, their microphysical processes represented within forecast models, and radiative ...

متن کامل

WRF Simulations of the 20–22 January 2007 Snow Events over Eastern Canada: Comparison with In Situ and Satellite Observations

One of the grand challenges of the Global Precipitation Measurement (GPM) mission is to improve coldseason precipitation measurements in midand high latitudes through the use of high-frequency passive microwave radiometry. For this purpose, the Weather Research and Forecasting model (WRF) with the Goddard microphysics scheme is coupled with a Satellite Data Simulation Unit (WRF–SDSU) to facilit...

متن کامل

Impacts of a-priori databases using six WRF microphysics schemes on passive microwave rainfall retrievals

Physically based rainfall retrievals from passive microwave sensors often make use of cloud-resolving models (CRMs) to build a priori databases of potential rain structures. EachCRM, however, has its own cloud microphysics assumptions. Hence, approximated microphysics may cause uncertainties in the a priori information resulting in inaccurate rainfall estimates. This study first builds a priori...

متن کامل

P2b.4 a Comparison of Two Mellor-yamada-based Pbl Schemes in Simulating a Hybrid Barrier Jet

The coastal meteorology of southeastern Alaska frequently consists of intense orographically enhanced winds. Inland cold pools develop as air cools over the interior and accelerates downs the terrain, resulting in strong winds manifested as gap and channel flows, and downslope windstorms depending on the location and synoptic situation. The latter are locally known as “Taku” windstorms (Dierkin...

متن کامل

The Impact of Microphysical Schemes on Hurricane Intensity and Track

During the past decade, both research and operational numerical weather prediction models [e.g. the Weather Research and Forecasting Model (WRF)] have started using more complex microphysical schemes originally developed for high-resolution cloud resolving models (CRMs) with 1-2 km or less horizontal resolutions. WRF is a next-generation meso-scale forecast model and assimilation system. It inc...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009