| Main Title |
New Land-Surface Model in MM5. |
| Author |
Pleim, J. E. ;
Xiu, A. ;
|
| CORP Author |
Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div. ;MCNC, Research Triangle Park, NC. North Carolina Supercomputing Center. |
| Publisher |
2000 |
| Year Published |
2000 |
| Report Number |
EPA/600/A-00/076; |
| Stock Number |
PB2001-100182 |
| Additional Subjects |
Soil moisture ;
Surface temperature ;
Meteorology ;
Surface moisture ;
Air quality ;
Mesoscale meteorology models ;
Land-surface models
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| NTIS |
PB2001-100182 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
| Collation |
8p |
| Abstract |
There has recently been a general realization that more sophisticated modeling of land-surface processes can be important for mesoscale meteorology models. Land-surface models (LSMs) have long been important components in global-scale climate models because of their more complete representation of the surface energy and moisture budgets as well as their ability to represent and respond to changing climatic conditions and changing ecosystems. For mesoscale meteorology modeling such long-term changes are not important, however, seasonal changes in vegetation and synoptic changes in surface moisture conditions have important effects on meteorological simulations. Surface processes, such as soil moisture and canopy conductance, control the partitioning of net radiation into sensible, latent, and ground heat fluxes which in turn have strongly influenced ground level air temperature and humidity as well as PBL development. Since these parameters are especially important for air quality modeling, inclusion of a sophisticated LSM is critical for air quality modeling studies. Furthermore, the dry deposition component of the air quality model can greatly benefit by direct use of LSM parameters such as bulk stomatal conductance and aerodynamic resistance. |
| Supplementary Notes |
Prepared in cooperation with National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div. and MCNC, Research Triangle Park, NC. North Carolina Supercomputing Center. |
| Availability Notes |
Product reproduced from digital image. Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.fedworld.gov. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA. |
| Category Codes |
55C |
| NTIS Prices |
PC A02/MF A01 |
| Primary Description |
600/09 |
| Document Type |
NT |
| Cataloging Source |
NTIS/MT |
| Control Number |
001700060 |
| Origin |
NTIS |
| Type |
CAT |
