Loading...
Please wait, while we are loading the content...
Similar Documents
Identifying and addressing land surface model deficiencies with data assimilation
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Rodell, Matthew Li, Bailing Kumar, Sujay Beaudoing, Hiroko Kato Reichle, Rolf Houborg Sr., Rasmus |
| Copyright Year | 2012 |
| Description | Land surface models (LSMs) encapsulate our understanding of terrestrial water and energy cycle physics and provide estimates of land surface states and fluxes when and where measurement gaps exist. Gaps in our understanding of the physics are a different issue. Data assimilation can address that issue both directly, through updating of prognostic model variables, or indirectly, when the simulated world conflicts with observation, necessitating adjustment of the model. Here we will focus on the latter case and present several examples, including (1) depth to bedrock adjustment to accommodate assimilated GRACE terrestrial water storage data; (2) steps to prevent immediate melting of assimilated snow cover; (3) irrigation's contribution to evapotranspiration; (4) lessons learned from soil moisture data assimilation; (5) the potential impact of satellite based runoff observation |
| File Size | 186458 |
| Page Count | 1 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20120016794 |
| Archival Resource Key | ark:/13960/t1zd2x977 |
| Language | English |
| Publisher Date | 2012-07-10 |
| Access Restriction | Open |
| Subject Keyword | Earth Resources And Remote Sensing Drainage Water Soil Moisture Evapotranspiration Satellite Observation Snow Cover Earth Surface Bedrock Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
