Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology Experiment

Jackson, Thomas J.; Vine, David M. Le; Hsu, A.Y.; Ołdak, Anna; Starks, Patrick J.; Swift, C.T.; Isham, J.D.; Haken, M.

doi:10.1109/36.789610

Cited by 590 publications

(466 citation statements)

References 13 publications

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“…[16] It should be stressed that surface soil moisture retrievals are likely to be considerably less accurate over heavily vegetated surfaces, and results presented in Figure 3 are derived from a lightly vegetated portion of the United States known to be particularly well-suited for the remote sensing of surface soil moisture [Jackson et al, 1999]. Nevertheless, expanding the approach from the regional SGP domain to the entire contiguous United States (CONUS) south of 40°N leads to only a small reduction in the strength of the domain-averaged correlation observed between the square root ofQ and actual rainfall error (i.e., a reduction in R 2 from 0.99 to 0.96 for the black symbols in Figure 3).…”

Section: Resultsmentioning

confidence: 99%

“…Remotely-sensed surface soil moisture estimates q°are obtained from application of the single-polarization Jackson [1993] algorithm to X-band Advanced Microwave Scanning Radiometer (AMSR-E) brightness temperature (T B ) data by Thomas Jackson and Xiwu Zhan (USDA Hydrology and Remote Sensing Laboratory). Moderate Resolution Imagery Spectrometer (MODIS) 16-day normalized difference vegetation index (NDVI) composite products and the vegetation water content (VWC)/NDVI regression relationship from Jackson et al [1999] are used to estimate VWC. Surface soil moisture retrievals are acquired with a spatial resolution of about 40 2 km 2 and at a repeat time of 1 to 2 days at mid-latitudes.…”

Section: Data and Approachmentioning

confidence: 99%

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Estimating precipitation errors using spaceborne surface soil moisture retrievals

Crow

Bolten

2007

Geophysical Research Letters

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Limitations in the availability of ground‐based rain gauge data currently hamper our ability to quantify errors in global precipitation products over data‐poor areas of the world. Over land, these limitations may be eased by approaches based on interpreting the degree of dynamic consistency existing between precipitation estimates and remotely‐sensed surface soil moisture retrievals. This paper demonstrates how such an approach can be implemented using a Kalman filter tuning procedure to reliably estimate daily rainfall errors in global precipitation products without reliance on ground‐based rainfall observations.

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Section: Resultsmentioning

confidence: 99%

Section: Data and Approachmentioning

confidence: 99%

Estimating precipitation errors using spaceborne surface soil moisture retrievals

Crow

Bolten

2007

Geophysical Research Letters

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“…Details of the SGP97 experimental design are described by Jackson et al (1999) and also at:http://hydrolab.arsusda.gov/sgp97/.…”

Section: Methodsmentioning

confidence: 99%

“…The focus is on lowaltitude (≈30 m) aircraft-based flux observations (Mahrt et al 2001) collected during the 1997 Southern Great Plains (SGP97) experiment (Jackson et al 1999). Kustas et al (2006) analyzed aircraft and model-based surface fluxes and found that a much smaller flux-footprint was required for H to achieve maximum agreement with aircraft-based flux observations, as compared to that for LE.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Source Area Contributions from Aircraft Flux Measurements Over Heterogeneous Land Using Large-Eddy Simulation

Bertoldi

Kustas

Albertson

2012

Boundary-Layer Meteorol

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The estimation of spatial patterns in surface fluxes from aircraft observations poses several challenges in the presence of heterogeneous land cover. In particular, the effects of turbulence on scalar transport and the different behaviour of passive (e.g. water vapour) versus active (e.g. temperature) scalars may lead to large uncertainties in the source area/fluxfootprint estimation for sensible (H ) and latent (LE) heat-flux fields. This study uses largeeddy simulation (LES) of the land-atmosphere interactions to investigate the atmospheric boundary-layer (ABL) processes that are likely to create differences in airborne-estimated H and LE footprints. We focus on 32 m altitude aircraft flux observations collected over a study site in central Oklahoma during the Southern Great Plains experiment in 1997 (SGP97). Comparison between the aircraft data and traditional model estimates provide evidence of a difference in source area for turbulent sensible and latent heat fluxes. The LES produces reasonable representations of the observed fluxes, and hence provides credible evidence and explanation of the observed differences in the H and LE footprints. Those differences can be quantified by analyzing the change in the sign of the spatial correlation of the H and LE fields provided by the LES model as a function of height. Dry patterns in relatively moist surroundings are able to generate strong, but localized, sensible heating. However, whereas H at the aircraft altitude is still in phase with the surface, LE presents a more complicated connection to the surface as the dry updrafts force a convergence of the surrounding moist air. Both the observational and LES model evidence support the concept that under strongly advective conditions, H and LE measured at the top of the surface layer (≈50 m) can be associated with very different upwind source areas, effectively contradicting surface-layer self-similarity theory for scalars. The results indicate that, under certain environmental conditions, footprint models will need to predict differing source area/footprint contributions between active (H ) and passive (LE) scalar fluxes by considering land-surface heterogeneity and ABL dynamics.

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“…These studies have focussed on quantifying atmosphere-biosphere interactions as well as quantifying greenhouse gas (GHG) emissions from agroecosystems. The aircraft has been flown in a number of national and international projects involving a large number of collaborators from university and government research organizations (Pederson et al, 1995;Sellers et al, 1992Sellers et al, , 1997Stewart et al, 1998;Kustas et al, 2005;Jackson et al, 1999). Most of the data from these flux projects have been reorganized to a common format and stored in digital form (MacPherson and Bastian, 2003).…”

Section: Introductionmentioning

confidence: 99%

Flux measurements by the NRC Twin Otter atmospheric research aircraft: 1987–2011

et al. 2016

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Abstract. Over the past 30 years, the Canadian Twin Otter research group has operated an aircraft platform for the study of atmospheric greenhouse gas fluxes (carbon dioxide, ozone, nitrous oxide and methane) and energy exchange (latent and sensible heat) over a wide range of terrestrial ecosystems in North America. Some of the acquired data from these projects have now been archived at the Flight Research Laboratory and Agriculture and Agri-Food Canada. The dataset, which contains the measurements obtained in eight projects from 1987 to 2011 are now publicly available. All these projects were carried out in order to improve our understanding of the biophysical controls acting on land-surface atmosphere fluxes. Some of the projects also attempted to quantify the impacts of agroecosystems on the environment. To provide information on the data available, we briefly describe each project and some of the key findings by referring to previously published relevant work. As new flux analysis techniques are being developed, we are confident that much additional information can be extracted from this unique data set.

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Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology Experiment

Cited by 590 publications

References 13 publications

Estimating precipitation errors using spaceborne surface soil moisture retrievals

Estimating precipitation errors using spaceborne surface soil moisture retrievals

Evaluating Source Area Contributions from Aircraft Flux Measurements Over Heterogeneous Land Using Large-Eddy Simulation

Flux measurements by the NRC Twin Otter atmospheric research aircraft: 1987–2011

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