Error characterisation of global active and passive microwave soil moisture datasets
Understanding the error structures of remotely sensed soil moisture observations is essential for correctly interpreting observed variations and trends in the data or assimilating them in hydrological or numerical weather prediction models. Nevertheless, a spatially coherent assessment of the qualit...
Main Authors: | W. A. Dorigo, K. Scipal, R. M. Parinussa, Y. Y. Liu, W. Wagner, R. A. M. de Jeu, V. Naeimi |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2010-12-01
|
Series: | Hydrology and Earth System Sciences |
Online Access: | http://www.hydrol-earth-syst-sci.net/14/2605/2010/hess-14-2605-2010.pdf |
Similar Items
-
FUSION OF ACTIVE AND PASSIVE MICROWAVE OBSERVATIONS TO CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE
by: W. Wagner, et al.
Published: (2012-07-01) -
Combining satellite observations to develop a global soil moisture product for near-real-time applications
by: M. Enenkel, et al.
Published: (2016-10-01) -
The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors
by: Robin van der Schalie, et al.
Published: (2018-01-01) -
Structural and statistical properties of the collocation technique for error characterization
by: S. Zwieback, et al.
Published: (2012-02-01) -
Long-term Soil Moisture Time Series Analyses based on Active Microwave Backscatter Measurements
by: W. Wagner, et al.
Published: (2015-04-01)