Paper Info
Title
Evaluation of GEOS-Simulated L-Band Microwave Brightness Temperature Using Aquarius Observations over Non-Frozen Land across North America.
Abstract
L-band brightness temperature (Tb) is one of the key remotely-sensed variables that provides information regarding surface soil moisture conditions. In order to harness the information inTbobservations, a radiative transfer model (RTM) is investigated for eventual inclusion into a data assimilation framework. In this study,Tbestimates from the RTM implemented in the NASA Goddard Earth Observing System (GEOS) were evaluated against the nearly four-year record of dailyTbobservations collected by L-band radiometers onboard the Aquarius satellite. Statistics between the modeled and observedTbwere computed over North America as a function of soil hydraulic properties and vegetation types. Overall, statistics showed good agreement between the modeled and observedTbwith a relatively low, domain-average bias (0.79 K (ascending) and -2.79 K (descending)), root mean squared error (11.0 K (ascending) and 11.7 K (descending)), and unbiased root mean squared error (8.14 K (ascending) and 8.28 K (descending)). In terms of soil hydraulic parameters, large porosity and large wilting point both lead to high uncertainty in modeledTbdue to the large variability in dielectric constant and surface roughness used by the RTM. The performance of the RTM as a function of vegetation type suggests better agreement in regions with broadleaf deciduous and needleleaf forests while grassland regions exhibited the worst accuracy amongst the five different vegetation types.
Year
DOI
Venue
2020
10.3390/rs12183098
REMOTE SENSING
Keywords
DocType
Volume
L-band radiometry,radiative transfer model,soil moisture
Journal
12
Issue
Citations 
PageRank 
18
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Jongmin Park100.34
Forman, B.242.15
Rolf Reichle336933.86
Gabrielle J. M. De Lannoy4154.15
Saad B. Tarik500.34