de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Potential and limitations of multidecadal satellite moisture observations for climate model evaluation studies

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons37243

Loew,  Alexander
Terrestrial Remote Sensing / HOAPS, The Land in the Earth System, MPI for Meteorology, Max Planck Society;
CRG Terrestrial Remote Sensing, Research Area A: Climate Dynamics and Variability, The CliSAP Cluster of Excellence, External Organizations;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons37233

Stacke,  Tobias
Terrestrial Hydrology, The Land in the Earth System, MPI for Meteorology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons37170

Hagemann,  Stefan
Terrestrial Hydrology, The Land in the Earth System, MPI for Meteorology, Max Planck Society;

Locator
There are no locators available
Fulltext (public)

hess-17-3523-2013.pdf
(Publisher version), 5MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Loew, A., Stacke, T., Dorigo, W., de Jeu, R., & Hagemann, S. (2013). Potential and limitations of multidecadal satellite moisture observations for climate model evaluation studies. Hydrology and Earth System Sciences, 17, 3523-3542. doi:10.5194/hess-17-3523-2013.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0014-6482-E
Abstract
Soil moisture is an essential climate variable (ECV) of major importance for land-atmosphere interactions and global hydrology. An appropriate representation of soil moisture dynamics in global climate models is therefore important. Recently, a first multidecadal, observation-based soil moisture dataset has become available that provides information on soil moisture dynamics from satellite observations (ECVSM, essential climate variable soil moisture). The present study investigates the potential and limitations of this new dataset for several applications in climate model evaluation. We compare soil moisture data from satellite observations, reanalysis and simulations from a state-of-the-art land surface model and analyze relationships between soil moisture and precipitation anomalies in the different dataset. Other potential applications like model parameter optimization or model initialization are not investigated in the present study. In a detailed regional study, we show that ECVSM is capable to capture well the interannual and intraannual soil moisture and precipitation dynamics in the Sahelian region. Current deficits of the new dataset are critically discussed and summarized at the end of the paper to provide guidance for an appropriate usage of the ECVSM dataset for climate studies. © 2013 Author(s).