Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model

Valentine G. Anantharaj; Patrick J. Fitzpatrick; Roger L. King; Louis Wasson

Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model

Valentine G. Anantharaj, Patrick J. Fitzpatrick, Roger L. King, Louis Wasson

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

3 Scopus citations

Abstract

The vegetation and soil properties at the land surface exert significant influence over short-term weather forecasts of numerical weather prediction (NWP) models. The Coupled Ocean Atmosphere Mesoscale Prediction System (COAMPS) derives the necessary land surface properties from the USGS 1-km global land-use/land-cover (LULC) database, which is based on historical AVHRR data. A methodology has been developed to incorporate the LULC data, derived from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) sensors, into the COAMPS model, running on nested domains - centered over Mississippi Gulf Coast.

Original language	English
Pages	4095-4098
Number of pages	4
State	Published - 2004
Externally published	Yes
Event	2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States Duration: Sep 20 2004 → Sep 24 2004

Conference

Conference	2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
Country/Territory	United States
City	Anchorage, AK
Period	09/20/04 → 09/24/04

Keywords

COAMPS
Land surface parameterization
Landcover
Landuse
MODIS

Cite this

Anantharaj, V. G., Fitzpatrick, P. J., King, R. L., & Wasson, L. (2004). Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model. 4095-4098. Paper presented at 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, United States.

Anantharaj, Valentine G. ; Fitzpatrick, Patrick J. ; King, Roger L. et al. / Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model. Paper presented at 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, United States.4 p.

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title = "Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model",

abstract = "The vegetation and soil properties at the land surface exert significant influence over short-term weather forecasts of numerical weather prediction (NWP) models. The Coupled Ocean Atmosphere Mesoscale Prediction System (COAMPS) derives the necessary land surface properties from the USGS 1-km global land-use/land-cover (LULC) database, which is based on historical AVHRR data. A methodology has been developed to incorporate the LULC data, derived from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) sensors, into the COAMPS model, running on nested domains - centered over Mississippi Gulf Coast.",

keywords = "COAMPS, Land surface parameterization, Landcover, Landuse, MODIS",

author = "Anantharaj, {Valentine G.} and Fitzpatrick, {Patrick J.} and King, {Roger L.} and Louis Wasson",

year = "2004",

language = "English",

pages = "4095--4098",

note = "2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 ; Conference date: 20-09-2004 Through 24-09-2004",

}

Anantharaj, VG, Fitzpatrick, PJ, King, RL & Wasson, L 2004, 'Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model', Paper presented at 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, United States, 09/20/04 - 09/24/04 pp. 4095-4098.

Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model. / Anantharaj, Valentine G.; Fitzpatrick, Patrick J.; King, Roger L. et al.
2004. 4095-4098 Paper presented at 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, United States.

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

TY - CONF

T1 - Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model

AU - Anantharaj, Valentine G.

AU - Fitzpatrick, Patrick J.

AU - King, Roger L.

AU - Wasson, Louis

PY - 2004

Y1 - 2004

N2 - The vegetation and soil properties at the land surface exert significant influence over short-term weather forecasts of numerical weather prediction (NWP) models. The Coupled Ocean Atmosphere Mesoscale Prediction System (COAMPS) derives the necessary land surface properties from the USGS 1-km global land-use/land-cover (LULC) database, which is based on historical AVHRR data. A methodology has been developed to incorporate the LULC data, derived from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) sensors, into the COAMPS model, running on nested domains - centered over Mississippi Gulf Coast.

AB - The vegetation and soil properties at the land surface exert significant influence over short-term weather forecasts of numerical weather prediction (NWP) models. The Coupled Ocean Atmosphere Mesoscale Prediction System (COAMPS) derives the necessary land surface properties from the USGS 1-km global land-use/land-cover (LULC) database, which is based on historical AVHRR data. A methodology has been developed to incorporate the LULC data, derived from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) sensors, into the COAMPS model, running on nested domains - centered over Mississippi Gulf Coast.

KW - COAMPS

KW - Land surface parameterization

KW - Landcover

KW - Landuse

KW - MODIS

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M3 - Paper

AN - SCOPUS:15944376564

SP - 4095

EP - 4098

T2 - 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004

Y2 - 20 September 2004 through 24 September 2004

ER -

Anantharaj VG, Fitzpatrick PJ, King RL, Wasson L. Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model. 2004. Paper presented at 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, United States.

Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model

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