TITLE

Comparison of Single-Parameter and Multiparameter Ensembles for Assimilation of Radar Observations Using the Ensemble Kalman Filter

AUTHOR(S)
Yussouf, Nusrat; Stensrud, David J.
PUB. DATE
February 2012
SOURCE
Monthly Weather Review;Feb2012, Vol. 140 Issue 2, p562
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Observational studies indicate that the densities and intercept parameters of hydrometeor distributions can vary widely among storms and even within a single storm. Therefore, assuming a fixed set of microphysical parameters within a given microphysics scheme can lead to significant errors in the forecasts of storms. To explore the impact of variations in microphysical parameters, Observing System Simulation Experiments are conducted based on both perfect- and imperfect-model assumptions. Two sets of ensembles are designed using either fixed or variable parameters within the same single-moment microphysics scheme. The synthetic radar observations of a splitting supercell thunderstorm are assimilated into the ensembles over a 30-min period using an ensemble Kalman filter data assimilation technique followed by 1-h ensemble forecasts. Results indicate that in the presence of a model error, a multiparameter ensemble with a combination of different hydrometeor density and intercept parameters leads to improved analyses and forecasts and better captures the truth within the forecast envelope compared to single-parameter ensemble experiments with a single, constant, inaccurate hydrometeor intercept and density parameters. This conclusion holds when examining the general storm structure, the intensity of midlevel rotation, surface cold pool strength, and the extreme values of the model fields that are most helpful in determining and identifying potential hazards. Under a perfect-model assumption, the single- and multiparameter ensembles perform similarly as model error does not play a role in these experiments. This study highlights the potential for using a variety of realistic microphysical parameters across the ensemble members in improving the analyses and very short-range forecasts of severe weather events.
ACCESSION #
70945359

 

Related Articles

  • Accounting for three sources of uncertainty in ensemble hydrological forecasting. Thiboult, A.; Anctil, F.; Boucher, M.-A. // Hydrology & Earth System Sciences Discussions;2015, Vol. 12 Issue 7, p7179 

    Seeking for more accuracy and reliability, the hydrometeorological community has developed several tools to decipher the different sources of uncertainty in relevant modeling processes. Among them, the Ensemble Kalman Filter, multimodel approaches and meteorological ensemble forecasting proved...

  • Correction of Radar QPE Errors Associated with Low and Partially Observed Brightband Layers. Qi, Youcun; Zhang, Jian // Journal of Hydrometeorology;Dec2013, Vol. 14 Issue 6, p1933 

    The melting of aggregated snow/crystals often results in an enhancement of the reflectivity observed by weather radars, and this is commonly referenced as the bright band (BB). The locally high reflectivity often causes overestimation in radar quantitative precipitation estimates (QPE) if no...

  • Technical Note: An open source library for processing weather radar data (wradlib). Heistermann, M.; Jacobi, S.; Pfaff, T. // Hydrology & Earth System Sciences;2013, Vol. 17 Issue 1, p863 

    The potential of weather radar observations for hydrological and meteorological research and applications is undisputed, particularly with increasing world-wide radar coverage. However, several barriers impede the use of weather radar data. These barriers are of both scientific and technical...

  • A Time-Series Method to Identify and Correct Range Sidelobes in Meteorological Radar Data. Westbrook, C. D.; Nicol, J. C. // Journal of Atmospheric & Oceanic Technology;Oct2013, Vol. 30 Issue 10, p2417 

    The use of pulse compression techniques to improve the sensitivity of meteorological radars has become increasingly common in recent years. An unavoidable side effect of such techniques is the formation of 'range sidelobes,' leading to the spreading of information across several range gates....

  • Evaluation of WRF Cloud Microphysics Schemes Using Radar Observations. Min, Ki-Hong; Choo, Sunhee; Lee, Daehyung; Lee, Gyuwon // Weather & Forecasting;Dec2015, Vol. 30 Issue 6, p1571 

    The Korea Meteorological Administration (KMA) implemented a 10-yr project to develop its own global model (GM) by 2020. To reflect the complex topography and unique weather characteristics of the Korean Peninsula, a high-resolution model with accurate physics and input data is required. The WRF...

  • Radar Reflectivity--Derived Thunderstorm Parameters Applied to Storm Longevity Forecasting. MacKeen, P.L.; Brooks, H.E.; Elmore, K.L. // Weather & Forecasting;Apr99, Vol. 14 Issue 2, p289 

    In order for the Federal Aviation Administration (FAA) to use airspace more efficiently during thunderstorm events, accurate storm longevity forecasts are needed. Relationships between 16 radar reflectivity-derived storm characteristics and storm longevity are examined to determine which, if...

  • Lightning detection system in the North Caucasus. Adzhiev, A.; Stasenko, V.; Tapaskhanov, V. // Russian Meteorology & Hydrology;Jan2013, Vol. 38 Issue 1, p1 

    For the first time in Russia, the Vaisala LS 8000 lightning detector has been brought into operation which provides the acquisition, processing, and archiving of the lightning discharge data (coordinates, polarity, discharge type, currents, etc.) on the territory of the North Caucasus. For the...

  • Cross Validation of Spaceborne Radar and Ground Polarimetric Radar Aided by Polarimetric Echo Classification of Hydrometeor Types. Wen, Yixin; Hong, Yang; Zhang, Guifu; Schuur, Terry J.; Gourley, Jonathan J.; Flamig, Zac; Morris, K. Robert; Cao, Qing // Journal of Applied Meteorology & Climatology;Jul2011, Vol. 50 Issue 7, p1389 

    Ground-based polarimetric weather radar is arguably the most powerful validation tool that provides physical insight into the development and interpretation of spaceborne weather radar algorithms and observations. This study aims to compare and resolve discrepancies in hydrometeor retrievals and...

  • An Airborne Profiling Radar Study of the Impact of Glaciogenic Cloud Seeding on Snowfall from Winter Orographic Clouds. Geerts, Bart; Miao, Qun; Yang, Yang; Rasmussen, Roy; Breed, Daniel // Journal of the Atmospheric Sciences;Oct2010, Vol. 67 Issue 10, p3286 

    Data from an airborne vertically pointing millimeter-wave Doppler radar are used to study the cloud microphysical effect of glaciogenic seeding of cold-season orographic clouds. Fixed flight tracks were flown downstream of ground-based silver iodide (AgI) generators in the Medicine Bow Mountains...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics