Assessment of surface turbulent fluxes using geostationary satellite surface skin temperatures and a mixed layer planetary boundary layer scheme

Diak, George R.; Stewart, Tod R.

doi:10.1029/jd094id05p06357

Cited by 24 publications

(7 citation statements)

References 30 publications

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“…Our previous investigations [Diak and Stewart, 1989;Diak, 1990;Diak and Whipple, 1993] and those of many other researchers have shown these types of mixed layer PBL models to be very accurate in describing the height and temperature of the PBL under conditions when surface forcing dominates the time change of the PBL structure. With measured surface fluxes as input to the mixed layer model, the height rise and air temperature of PBL were predicted with RMS accuracies of a few tens of meters and several tenths of a degree Celsius, respectively, in a study by Driedonks [1982].…”

Section: Models Of the Surface And Pblmentioning

confidence: 91%

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Note on estimating surface sensible heat fluxes using surface temperatures measured from a geostationary satellite during FIFE 1989

Diak¹,

Whipple²

1995

J. Geophys. Res.

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Twelve‐hour daytime totals of surface sensible heat flux were estimated using geostationary satellite measured surface “skin” temperatures and models of the land surface and the planetary boundary layer for 4 days in August 1989 at the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment site. During this period in August a rapid “dry down” occurred in which daytime surface sensible heat flux totals, as estimated from the surface flux measurements, rose from approximately 2–4 MJ m−2 to 6–9 MJ m−2 within the span of a few days. In this period the daytime surface temperature range as measured from the geostationary satellite rose by several degrees Celsius. The standard errors of estimate comparing satellite‐derived sensible heating totals with surface measurements were 0.93 and 1.43 MJ m−2, respectively, using surface roughness length estimates of 1 and 5 cm in the planetary boundary layer model.

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Section: Models Of the Surface And Pblmentioning

confidence: 91%

“…The surface and PBL model used in this study has been thoroughly described by Diak and Stewart [1989], Diak [1990], and Diak and Whipple [1993] and will only be summarized here. This discussion follows Diak [1990].…”

Section: Models Of the Surface And Pblmentioning

confidence: 99%

Note on estimating surface sensible heat fluxes using surface temperatures measured from a geostationary satellite during FIFE 1989

Diak¹,

Whipple²

1995

J. Geophys. Res.

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“…This sensitivity of DH to the surface energy balance is evident in the equations describing the change of the PBL height with time (Driedonks, 1982a) and has been well-documented in both theoretical (Driedonks, 1982b) and applied studies (Chou and Atlas, 1982;Diak and Stewart, 1989;Boers andEloranta, 1984, Culf, 1993).…”

Section: E Temporal Changes Of the Height Of The Planetary Boundary mentioning

confidence: 86%

“…This level of information is somewhat better than projected in a prior study (Diak and Stewart, 1989). There are also some preliminary indications from measurements made at the FIFE site of the changes of remotely-sensed temperatures with time and viewing angle (see Hall et al, 1992, Figure 10a, data from Vining and Blad, 1992), that the use of temporal changes may also reduce problems associated with angle of view.…”

Section: Sensible Energy Flux Density (W/m"2)mentioning

confidence: 87%

Regional‐scale comparisons of vegetation and soil wetness with surface energy budget properties from satellite and in‐situ observations

Diak

Rabin

Gallo

et al. 1995

Remote Sensing Reviews

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This study focuses on relationships between vegetation cover, soil moisture, precipitation and evapotranspiration for the Midwest and Great Plains region of the central United States in early June 1988, the year of the Midwest drought. The data base consists of: (1) microwave estimates of soil moisture made using data from the Special Sensor Microwave/Imager (SSM/I); (2) Normalized Difference Vegetation Index (NDVI) estimates made using data from the Advanced Very High Resolution Radiometer (AVHRR); (3) surface-based Antecedent Precipitation Index (API) estimates made using precipitation records from surface reporting stations and; (4) estimates of sensible heating, evapotranspiration and an "effective" surface roughness made for the region using a combination of satellitemeasured surface "skin" temperatures from geostationary (GOES) satellites and radiosonde measurements of the time-changes of the height of the planetary boundary layer (DH) from the synoptic network. The scatter diagram of the daytime range (time-change) of surface skin temperature (DT S ) versus NDVI over the large region investigated shows a similar pattern to published results for 355 Downloaded by [Cambridge University Library] at 03:15 06 April 2015 356 G. R. DIAK ET AL.absolute skin temperature measurements versus NDVI over smaller areas (generally the size of a single watershed). Over the entire region investigated, the correlation between DT S and NDVI was poor. In the eastern section of the region, however, which was experiencing drought conditions by June 1988 (evidenced in very low API values), the correlation between DT S and NDVI was much improved. In the western section of the investigation region, with generally higher values of API (suggesting higher soil moisture content), there was a good correlation of DT S with API for areas with low NDVI. Values of a microwave-based API derived from SSM/I data generally showed similar relationships to DT S values as the surface-based API, but with slightly higher correlation coefficients. Values of the surface Bowen ratio derived from DT S and DH measurements were in qualitative agreement with the pattern of the developing drought conditions in the area, although quantitative comparisons with other the other components of the data base were less definitive. Values of an "effective" surface roughness derived from the same DT S and DH measurements showed a good correlation to NDVI.

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“…As a result, other researchers have focused on using currently available remote sensing measurements, notably radiometric surface temperature, to estimate sur-M A R G U L I S A N D E N T E K H A B I face soil moisture and/or fluxes (e.g., Carlson et al 1981;Wetzel et al 1984;Wetzel and Woodward 1987;Diak and Stewart 1989;McNider et al 1994;Gillies and Carlson 1995;Anderson et al 1997;Kustas et al 1999;Castelli et al 1999;Norman et al 2000;Lakshmi 2000;French et al 2000;Boni et al 2001). These approaches generally either (i) use the physical connection between surface moisture and the thermal inertia of the surface to infer soil moisture and/or (ii) use the dependence of sensible heat flux on surface temperature to estimate the surface fluxes with radiometric surface temperature and auxiliary data.…”

Section: Introductionmentioning

confidence: 99%

Variational Assimilation of Radiometric Surface Temperature and Reference-Level Micrometeorology into a Model of the Atmospheric Boundary Layer and Land Surface

Margulis

Entekhabi

2003

Mon. Wea. Rev.

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Data assimilation provides a useful framework that allows us to combine measurements and models, by appropriately weighting the sources of error in both, to produce a statistically optimal and dynamically consistent estimate of the evolving state of the system. In this paper a variational approach is used to estimate regional land and atmospheric boundary layer states and fluxes via the assimilation of standard reference-level temperature and humidity and radiometric surface temperature measurements into a coupled land surface-atmospheric boundary layer model. Results from an application to a field experiment site show that using both surface temperature and reference-level micrometeorology measurements allows for the accurate and robust estimation of land surface fluxes even during nonideal conditions, where the evaporation rate is atmospherically controlled and processes that are not parameterized in the model (i.e., advection) are important. The assimilation scheme is able to provide estimates of model errors, which has implications for being able to diagnose structural model errors that may be present due to missing process representation and/or poor or biased parameterizations. Because robust estimates are not always obtainable with either measurement type in isolation, these results illustrate possible synergism that may exist when using multiple observation types.

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Assessment of surface turbulent fluxes using geostationary satellite surface skin temperatures and a mixed layer planetary boundary layer scheme

Cited by 24 publications

References 30 publications

Note on estimating surface sensible heat fluxes using surface temperatures measured from a geostationary satellite during FIFE 1989

Note on estimating surface sensible heat fluxes using surface temperatures measured from a geostationary satellite during FIFE 1989

Regional‐scale comparisons of vegetation and soil wetness with surface energy budget properties from satellite and in‐situ observations

Variational Assimilation of Radiometric Surface Temperature and Reference-Level Micrometeorology into a Model of the Atmospheric Boundary Layer and Land Surface

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