Development of high resolution land data assimilation system and its application to WRF

Fei Chen; Kevin W. Manning; David N. Yates; Margaret A. LeMone; Stanley B. Trier; Richard Cuenca; Dev Niyogi

Development of high resolution land data assimilation system and its application to WRF

Fei Chen, Kevin W. Manning, David N. Yates, Margaret A. LeMone, Stanley B. Trier, Richard Cuenca, Dev Niyogi

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

A high-resolution land data assimilation system (HRLDAS) was developed and was applied to a coupled modeling system, the weather research and forecast (WRF). The aim of the system was to reduce the errors introduced by interpolating land conditions from one LDAS source to a coupled model grids because of the mismatch of terrain, landuse, and soil specifications. As an example, HRLDAS was set up to run in the continental US due to the readily available forcing data required by HRLDAS in this region. The results show that the HRLDAS compares well with Mesonet and IHOP soil moisture in terms of seasonal tendency, and the correct specification of soil texture in HRLDAS is critical for comparing HRLDAS results with observations.

Original language	English
Pages (from-to)	2379-2383
Number of pages	5
Journal	Bulletin of the American Meteorological Society
State	Published - 2004
Event	Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States Duration: Jan 11 2004 → Jan 15 2004

Cite this

@article{78034f0050e248a5813f5c44526571d7,

title = "Development of high resolution land data assimilation system and its application to WRF",

abstract = "A high-resolution land data assimilation system (HRLDAS) was developed and was applied to a coupled modeling system, the weather research and forecast (WRF). The aim of the system was to reduce the errors introduced by interpolating land conditions from one LDAS source to a coupled model grids because of the mismatch of terrain, landuse, and soil specifications. As an example, HRLDAS was set up to run in the continental US due to the readily available forcing data required by HRLDAS in this region. The results show that the HRLDAS compares well with Mesonet and IHOP soil moisture in terms of seasonal tendency, and the correct specification of soil texture in HRLDAS is critical for comparing HRLDAS results with observations.",

author = "Fei Chen and Manning, \{Kevin W.\} and Yates, \{David N.\} and LeMone, \{Margaret A.\} and Trier, \{Stanley B.\} and Richard Cuenca and Dev Niyogi",

year = "2004",

language = "English",

pages = "2379--2383",

journal = "Bulletin of the American Meteorological Society",

issn = "0003-0007",

publisher = "American Meteorological Society",

note = "Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting ; Conference date: 11-01-2004 Through 15-01-2004",

}

TY - JOUR

T1 - Development of high resolution land data assimilation system and its application to WRF

AU - Chen, Fei

AU - Manning, Kevin W.

AU - Yates, David N.

AU - LeMone, Margaret A.

AU - Trier, Stanley B.

AU - Cuenca, Richard

AU - Niyogi, Dev

PY - 2004

Y1 - 2004

N2 - A high-resolution land data assimilation system (HRLDAS) was developed and was applied to a coupled modeling system, the weather research and forecast (WRF). The aim of the system was to reduce the errors introduced by interpolating land conditions from one LDAS source to a coupled model grids because of the mismatch of terrain, landuse, and soil specifications. As an example, HRLDAS was set up to run in the continental US due to the readily available forcing data required by HRLDAS in this region. The results show that the HRLDAS compares well with Mesonet and IHOP soil moisture in terms of seasonal tendency, and the correct specification of soil texture in HRLDAS is critical for comparing HRLDAS results with observations.

AB - A high-resolution land data assimilation system (HRLDAS) was developed and was applied to a coupled modeling system, the weather research and forecast (WRF). The aim of the system was to reduce the errors introduced by interpolating land conditions from one LDAS source to a coupled model grids because of the mismatch of terrain, landuse, and soil specifications. As an example, HRLDAS was set up to run in the continental US due to the readily available forcing data required by HRLDAS in this region. The results show that the HRLDAS compares well with Mesonet and IHOP soil moisture in terms of seasonal tendency, and the correct specification of soil texture in HRLDAS is critical for comparing HRLDAS results with observations.

UR - https://www.scopus.com/pages/publications/2442623238

M3 - Conference article

AN - SCOPUS:2442623238

SN - 0003-0007

SP - 2379

EP - 2383

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

T2 - Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting

Y2 - 11 January 2004 through 15 January 2004

ER -

Development of high resolution land data assimilation system and its application to WRF

Abstract

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