4DVAR assimilation of multi-parameter radar observations in an explicit cloud model

Bing Wu; Johannes Verlinde; Juanzhen Sun

4DVAR assimilation of multi-parameter radar observations in an explicit cloud model

Bing Wu, Johannes Verlinde, Juanzhen Sun

Meteorology and Atmospheric Science

Research output: Contribution to conference › Paper › peer-review

Abstract

A four-dimensional variational (4DVAR) data assimilation technique, based on an anelastic model and its adjoint, is used to retrieve the wind, temperature, pressure and microphysical fields in moist convective systems from single or multiple-Doppler radar observation. The microphysical parameterization in this model incorporated the liquid phase physics. This model is applied to a severe thunderstorm observed during the MIST experiment. Observations have indicated that ice process played a significant role in the precipitation processes in its life-time period. To have a better microphysical retrieval, the differential reflectivity (ZDR) observation from the multi-parameter radar (CP2) is included.

Original language	English (US)
Pages	532-533
Number of pages	2
State	Published - 1997
Event	Proceedings of the 1997 28th Conference on Radar Meteorology - Austin, TX, USA Duration: Sep 7 1997 → Sep 12 1997

Other

Other	Proceedings of the 1997 28th Conference on Radar Meteorology
City	Austin, TX, USA
Period	9/7/97 → 9/12/97

All Science Journal Classification (ASJC) codes

Atmospheric Science
Electrical and Electronic Engineering

Fingerprint Dive into the research topics of '4DVAR assimilation of multi-parameter radar observations in an explicit cloud model'. Together they form a unique fingerprint.

Cite this

@conference{7d20422796204f53903e9034db2f1275,

title = "4DVAR assimilation of multi-parameter radar observations in an explicit cloud model",

abstract = "A four-dimensional variational (4DVAR) data assimilation technique, based on an anelastic model and its adjoint, is used to retrieve the wind, temperature, pressure and microphysical fields in moist convective systems from single or multiple-Doppler radar observation. The microphysical parameterization in this model incorporated the liquid phase physics. This model is applied to a severe thunderstorm observed during the MIST experiment. Observations have indicated that ice process played a significant role in the precipitation processes in its life-time period. To have a better microphysical retrieval, the differential reflectivity (ZDR) observation from the multi-parameter radar (CP2) is included.",

author = "Bing Wu and Johannes Verlinde and Juanzhen Sun",

year = "1997",

language = "English (US)",

pages = "532--533",

note = "Proceedings of the 1997 28th Conference on Radar Meteorology ; Conference date: 07-09-1997 Through 12-09-1997",

}

TY - CONF

T1 - 4DVAR assimilation of multi-parameter radar observations in an explicit cloud model

AU - Wu, Bing

AU - Verlinde, Johannes

AU - Sun, Juanzhen

PY - 1997

Y1 - 1997

N2 - A four-dimensional variational (4DVAR) data assimilation technique, based on an anelastic model and its adjoint, is used to retrieve the wind, temperature, pressure and microphysical fields in moist convective systems from single or multiple-Doppler radar observation. The microphysical parameterization in this model incorporated the liquid phase physics. This model is applied to a severe thunderstorm observed during the MIST experiment. Observations have indicated that ice process played a significant role in the precipitation processes in its life-time period. To have a better microphysical retrieval, the differential reflectivity (ZDR) observation from the multi-parameter radar (CP2) is included.

AB - A four-dimensional variational (4DVAR) data assimilation technique, based on an anelastic model and its adjoint, is used to retrieve the wind, temperature, pressure and microphysical fields in moist convective systems from single or multiple-Doppler radar observation. The microphysical parameterization in this model incorporated the liquid phase physics. This model is applied to a severe thunderstorm observed during the MIST experiment. Observations have indicated that ice process played a significant role in the precipitation processes in its life-time period. To have a better microphysical retrieval, the differential reflectivity (ZDR) observation from the multi-parameter radar (CP2) is included.

UR - http://www.scopus.com/inward/record.url?scp=0031343223&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031343223&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0031343223

SP - 532

EP - 533

T2 - Proceedings of the 1997 28th Conference on Radar Meteorology

Y2 - 7 September 1997 through 12 September 1997

ER -

4DVAR assimilation of multi-parameter radar observations in an explicit cloud model

Abstract

Other

All Science Journal Classification (ASJC) codes

Other files and links

Cite this