TY - GEN
T1 - Impact of land use and land cover changes in the surface fluxes of an atmospheric model
AU - Anantharaj, Valentine G.
AU - Fitzpatrick, Patrick J.
AU - Li, Yongzuo
AU - King, Roger L.
AU - Mostovoy, Gueorgui V.
PY - 2006
Y1 - 2006
N2 - High resolution numerical weather prediction models are sensitive to changes in the prescribed land use data. The land use and land cover (LULC) information, derived from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) sensors, has been substituted for the Global Land Cover Characterization (GLCC) land use data based on 1-km AVHRR observations in the Coupled Ocean Atmosphere Mesoscale Prediction System (COAMPS), a NWP model developed by the U. S. Navy. The changes in the model ground wetness, due to the prescription of different LULC information, affect the distribution of convective cells and the pattern of rainfall. The temperature fields at and near the surface show greater variability when MODIS land cover data are prescribed. The surface temperatures are higher in the north western portion of the domain but lower in the south eastern coastal regions of Louisiana. Changes in ground wetness due to land cover changes impact the surface temperatures more than changes in albedo or surface roughness. The differences in latent heat fluxes were noticeable in increased urbanized areas around the cities New Orleans and Mobile. The land cover changes also resulted in different patterns of thunderstorm formations.
AB - High resolution numerical weather prediction models are sensitive to changes in the prescribed land use data. The land use and land cover (LULC) information, derived from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) sensors, has been substituted for the Global Land Cover Characterization (GLCC) land use data based on 1-km AVHRR observations in the Coupled Ocean Atmosphere Mesoscale Prediction System (COAMPS), a NWP model developed by the U. S. Navy. The changes in the model ground wetness, due to the prescription of different LULC information, affect the distribution of convective cells and the pattern of rainfall. The temperature fields at and near the surface show greater variability when MODIS land cover data are prescribed. The surface temperatures are higher in the north western portion of the domain but lower in the south eastern coastal regions of Louisiana. Changes in ground wetness due to land cover changes impact the surface temperatures more than changes in albedo or surface roughness. The differences in latent heat fluxes were noticeable in increased urbanized areas around the cities New Orleans and Mobile. The land cover changes also resulted in different patterns of thunderstorm formations.
KW - AVHRR
KW - COAMPS
KW - Energy fluxes
KW - Land surface parameterization
KW - Landcover
KW - Landuse
KW - MODIS
UR - http://www.scopus.com/inward/record.url?scp=34948868715&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2006.613
DO - 10.1109/IGARSS.2006.613
M3 - Conference contribution
AN - SCOPUS:34948868715
SN - 0780395107
SN - 9780780395107
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2369
EP - 2372
BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
T2 - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Y2 - 31 July 2006 through 4 August 2006
ER -
