Name
Abstract | ||
|---|---|---|
The SMAP Level 4 soil moisture (L4_SM) product provides global estimates of surface and root zone soil moisture, along with other land surface variables and their error estimates. These estimates are obtained through assimilation of SMAP brightness temperature observations into the Goddard Earth Observing System (GEOS-5) land surface model. The L4_SM product is provided at 9 km spatial and 3-hourly temporal resolution and with about 2.5 day latency. The soil moisture and temperature estimates in the L4_SM product are validated against in situ observations. The L4_SM product meets the required target uncertainty of 0.04 m
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>
m
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-3</sup>
, measured in terms of unbiased root-mean-square-error, for both surface and root zone soil moisture. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729026 | 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
Keywords | Field | DocType |
Soil moisture,data assimilation,SMAP | Brightness temperature,Sea surface temperature,Computer science,Atmospheric models,Remote sensing,DNS root zone,Data assimilation,Water content,Temperature measurement,Temporal resolution | Conference |
ISSN | ISBN | Citations |
2153-6996 | 978-1-5090-3333-1 | 0 |
PageRank | References | Authors |
0.34 | 1 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rolf Reichle | 1 | 0 | 0.34 |
| Gabrielle J. M. De Lannoy | 2 | 15 | 4.15 |
| Qing Liu | 3 | 4 | 0.79 |
| John S. Ardizzone | 4 | 0 | 0.34 |
| John S. Kimball | 5 | 490 | 50.16 |
| Randal D. Koster | 6 | 328 | 22.47 |