|
Titel |
Correction of real-time satellite precipitation with satellite soil moisture observations |
VerfasserIn |
W. Zhan, M. Pan, N. Wanders, E. F. Wood |
Medientyp |
Artikel
|
Sprache |
Englisch
|
ISSN |
1027-5606
|
Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 19, no. 10 ; Nr. 19, no. 10 (2015-10-22), S.4275-4291 |
Datensatznummer |
250120832
|
Publikation (Nr.) |
copernicus.org/hess-19-4275-2015.pdf |
|
|
|
Zusammenfassung |
Rainfall and soil moisture are two key elements in modeling the interactions
between the land surface and the atmosphere. Accurate and high-resolution
real-time precipitation is crucial for monitoring and predicting the onset of
floods, and allows for alert and warning before the impact becomes a
disaster. Assimilation of remote sensing data into a flood-forecasting model
has the potential to improve monitoring accuracy. Space-borne microwave
observations are especially interesting because of their sensitivity to
surface soil moisture and its change. In this study, we assimilate satellite
soil moisture retrievals using the Variable Infiltration Capacity (VIC) land
surface model, and a dynamic assimilation technique, a particle filter, to
adjust the Tropical Rainfall Measuring Mission Multi-satellite Precipitation
Analysis (TMPA) real-time precipitation estimates. We compare updated
precipitation with real-time precipitation before and after adjustment and
with NLDAS gauge-radar observations. Results show that satellite soil
moisture retrievals provide additional information by correcting errors in
rainfall bias. The assimilation is most effective in the correction of medium
rainfall under dry to normal surface conditions, while limited/negative
improvement is seen over wet/saturated surfaces. On the other hand,
high-frequency noises in satellite soil moisture impact the assimilation by
increasing rainfall frequency. The noise causes larger uncertainty in the
false-alarmed rainfall over wet regions. A threshold of 2 mm day−1
soil moisture change is identified and applied to the assimilation, which
masked out most of the noise. |
|
|
Teil von |
|
|
|
|
|
|