Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations
Download
index.pdf
Date
2011-11-01
Author
Parinussa, R.M.
Holmes, T.R.H.
Yılmaz, Mustafa Tuğrul
Crow, W.T.
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
95
views
49
downloads
Cite This
For several years passive microwave observations have been used to retrieve soil moisture from the Earth’s surface. Low frequency observations have the most sensitivity to soil moisture, therefore the current Soil Moisture and Ocean Salinity (SMOS) and future Soil Moisture Active and Passive (SMAP) satellite missions observe the Earth’s surface in the L-band frequency. In the past, several satellite sensors such as the Advanced Microwave Scanning Radiometer-EOS (AMSR-E) and WindSat have been used to retrieve surface soil moisture using multi-channel observations obtained at higher microwave frequencies. While AMSR-E and WindSat lack an L-band channel, they are able to leverage multi-channel microwave observations to estimate additional land surface parameters. In particular, the availability of Ka-band observations allows AMSR-E and WindSat to obtain coincident surface temperature estimates required for the retrieval of surface soil moisture. In contrast, SMOS and SMAP carry only a single frequency radiometer and therefore lack an instrument suited to estimate the physical temperature of the Earth. Instead, soil moisture algorithms from these new generation satellites rely on ancillary sources of surface temperature (e.g. re-analysis or near real time data from weather prediction centres). A consequence of relying on such ancillary data is the need for temporal and spatial interpolation, which may introduce uncertainties. Here, two newly-developed, large-scale soil moisture evaluation techniques, the triple collocation (TC) approach and the Rvalue data assimilation approach, are applied to quantify the global-scale impact of replacing Ka-band based surface temperature retrievals with Modern Era Retrospective-analysis for Research and Applications (MERRA) surface temperature output on the accuracy of WindSat and AMSR-E based surface soil moisture retrievals. Results demonstrate that under sparsely vegetated conditions, the use of MERRA land surface temperature instead of Ka-band radiometric land surface temperature leads to a relative decrease in skill (on average 9.7 %) of soil moisture anomaly estimates. However the situation is reversed for highly vegetated conditions where soil moisture anomaly estimates show a relative increase in skill (on average 13.7 %) when using MERRA land surface temperature. In addition, a pre-processing technique to shift phase of the modelled surface temperature is shown to generally enhance the value of MERRA surface temperature estimates for soil moisture retrieval. Finally, a very high correlation (R 2 = 0.95) and consistency between the two evaluation techniques lends further credibility to the obtained results.
Subject Keywords
Technology
,
Environmental technology. Sanitary engineering
,
TD1-1066
,
Geography. Anthropology. Recreation
,
Environmental sciences
,
GE1-350
URI
https://hdl.handle.net/11511/38364
Journal
Hydrology and Earth System Sciences
DOI
https://doi.org/10.5194/hess-15-3135-2011
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
0.1 degree soil moisture retrievals from passive microwave observations
Parinussa, Robert; Richard De, Jeu; Yılmaz, Mustafa Tuğrul; Anderson, Martha; Hain, Chris (null; 2012-04-22)
For several years passive microwave observations have been used to retrieve surface soil moisture from the Earth's surface. Satellite sensors such as the Advanced Microwave Scanning Radiometer-EOS (AMSR-E) have been used for this purpose using their multi-channel observations. These soil moisture retrievals are routinely available in a relatively coarse spatial resolution (~0.25 degree), which allows for studies and applications on a global and continental scale. The use of such surface soil moisture retrie...
Investigation of magnesium ions effect on sludge properties in phosphorus deficient bioreactors
Ünal, Eda; Sanin, Faika Dilek; Gültekin, Güzin Candan; Department of Biotechnology (2010)
The activated sludge process efficiency depends on separation of microbial cells from treated wastewater. Separation can fail due to a number of problems. One of these problems is sludge bulking which is non-settling situation of biomass. Former studies showed that phosphorus deficiency caused filamentous sludge bulking with increasing magnesium ion concentrations. The main objectives of this study are to find out the effect of magnesium ions on sludge properties in phosphorus deficient medium and to determ...
The Auto-Tuned Land Data Assimilation System ( ATLAS)
Crow, W. T.; Yılmaz, Mustafa Tuğrul (American Geophysical Union (AGU), 2014-01-01)
Land data assimilation systems are commonly tasked with merging remotely sensed surface soil moisture retrievals with information derived from a soil water balance model driven by observed rainfall. The performance of such systems can be degraded by the incorrect specification of parameters describing modeling and observation errors. Here the Auto-Tuned Land Data Assimilation System (ATLAS) is introduced to simultaneously solve for all parameters required for the application of a simple land data assimilati...
Comparison of iscst3 and aermod air dispersion models: case study of cayirhan thermal power plant
Dölek, Emre; Atımtay, Aysel; Department of Environmental Engineering (2007)
In this study, emission inventory was prepared and pollutant dispersion studies were carried out for the area around Çayırhan Thermal Power Plant to determine the effects of the plant on the environment. Stack gas measurement results were used for the emissions from the power plant and emission factors were used for calculating the emissions from residential sources and coal stockpiles in the study region. Ground level concentrations of SO2, NOx and PM10 were estimated by using EPA approved dispersion model...
An intercomparison of remotely sensed soil moisture products at various spatial scales over the Iberian Peninsula
Parinussa, R.M.; Yılmaz, Mustafa Tuğrul; Anderson, M.C.; Hain, C.R.; de Jeu, R.A.M. (Wiley, 2014-08-30)
Soil moisture (SM) can be retrieved from active microwave (AM), passive microwave (PM) and thermal infrared (TIR) observations, each having unique spatial and temporal coverages. A limitation of TIR-based retrievals is a dependence on cloud-free conditions, whereas microwave retrievals are almost all weather proof. A downside of SM retrievals from PM is the coarse spatial resolution. Although SM retrievals at coarse spatial resolution proved to be valuable for global-scale and continental-scale studies, the...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
R. M. Parinussa, T. R. H. Holmes, M. T. Yılmaz, and W. T. Crow, “The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations,”
Hydrology and Earth System Sciences
, pp. 3135–3151, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38364.