Physically based modeling of QuikSCAT SeaWinds passive microwave measurements for rain detection

Boukabara, Sid; Hoffman, Ross N.; Grassotti, Christopher; Leidner, S. Mark

doi:10.1029/2001jd001243

Cited by 10 publications

(6 citation statements)

References 29 publications

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“…This residual is indicative of the degree of consistency of the observed backscatter and the retrieved wind. Additional rain flags have been developed (e.g., Boukabara et al 2002) making use of brightness temperature inferred from the SeaWinds noise measurement. 2004) collocated SeaWinds data from QuikSCAT and ADEOS-2 with NCEP Eta Model analysis winds and with Next-Generation Doppler Radar (NEXRAD) estimated rain rates.…”

Section: Rain Contaminationmentioning

confidence: 99%

An Introduction to the Near–Real–Time QuikSCAT Data

Hoffman

Leidner

2005

Weather and Forecasting

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125

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The NASA Quick Scatterometer (QuikSCAT ) satellite carries the SeaWinds instrument, the first satellite-borne scanning radar scatterometer. QuikSCAT, which was launched on 19 June 1999, is designed to provide accurate ocean surface winds in all conditions except for moderate to heavy rain (i.e., except for vertically integrated rain rate Ͼ2.0 km mm h Ϫ1 , the value used to tune the SeaWinds rain flag). QuikSCAT data are invaluable in providing high-quality, high-resolution winds to detect and locate precisely significant meteorological features and to produce accurate ocean surface wind analyses. QuikSCAT has an 1800-kmwide swath. A representative swath of data in the North Atlantic at 2200 UTC 28 September 2000, which contains several interesting features, reveals some of the capabilities of QuikSCAT. Careful quality control is vital for flagging data that are affected by rain and for flagging errors during ambiguity removal. In addition, an understanding of the instrument and algorithm characteristics provides insights into the factors controlling data quality for QuikSCAT. For example data quality is reduced for low wind speeds, and for locations either close to nadir or to the swath edges. The special data characteristics of the QuikSCAT scatterometer are revealed by examining the likelihood or objective function. The objective function is equal to the sum of squared scaled differences between observed and simulated normalized reflected radar power. The authors present typical examples and discuss the associated data quality concerns for different parts of the swath, for different wind speeds, and for rain versus no rain.

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Section: Rain Contaminationmentioning

confidence: 99%

An Introduction to the Near–Real–Time QuikSCAT Data

Hoffman

Leidner

2005

Weather and Forecasting

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125

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“…To compare with the simulation results, the Quick Scatterometer (QuikSCAT) oceanic winds, which are derived from microwave scatterometer data, are used (Boukabara et al 2002;Weissman et al 2002). The wind speed and direction at 10-m height are retrieved from measurements of the power of the backscattered radiation.…”

Section: A Datamentioning

confidence: 99%

A Study on the Synoptic-Dynamical Characteristics of Compact Tropical Cyclones in the Western North Pacific

Chen

Cheung

Lee

2012

Monthly Weather Review

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This study focuses on the synoptic and dynamical characteristic of compact and incompact tropical cyclones (TCs) in the western North Pacific. To identify the distinct mechanisms related to the development and maintenance of these two categories of TCs, the Weather Research and Forecasting Model (WRF) is used to simulate the compact Typhoon Yutu (2007) and the incompact Typhoon Manyi (2007). Simulation results of Yutu show that the wind speed increases primarily in the inner-core region, where strong relative vorticity and high inertial stability is also located. Comparatively, the inertial stability for Typhoon Manyi is much weaker, which makes it more susceptible to influences from external low-level forcing. Diagnoses of the numerical simulations as well as examination of the synoptic environments that embed the two TCs suggest that compact TCs mainly develop through internal dynamics, whereas incompact TCs are usually driven by external forcing. Several sets of sensitivity experiments are designed to determine the relative roles of initial vortex structure, environmental flow, and humidity in subsequent TC structural evolution. Results show that in an environment that favors compact TCs, initial vortex largely determines the later structural development. However, vortex development is quite sensitive to its initial intensity and the radius of maximum wind (RMW) under environmental flow that favors incompact TCs. Results of the experiments on environmental humidity show that a humid environment generates large vortex structural changes in incompact TCs. A relatively dry environment brings minimal impacts to the originally compact TC, but can increase the compactness of the originally incompact ones.

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“…To investigate the surface wind distribution of TCs, QuikSCAT oceanic 10-m winds, which are derived from microwave scatterometer data, are used (Boukabara et al 2002;Weissman et al 2002). The QuikSCAT wind data correspond to surface winds with a time averaging period of 8-10 min.…”

Section: Data Treatmentmentioning

confidence: 99%

Some Implications of Core Regime Wind Structures in Western North Pacific Tropical Cyclones

Chen

Cheung

Lee

2011

Weather and Forecasting

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In this study, a tropical cyclone (TC) is considered to be compact if 1) the radius of maximum wind or the maximum tangential wind is smaller than what would be expected for an average tropical cyclone of the same intensity or the same radius of maximum wind, and 2) the decrease of tangential wind outside the radius of maximum wind is greater than that of an average TC. A structure parameter S is defined to provide a quantitative measure of the compactness of tropical cyclones. Quick Scatterometer (QuikSCAT) oceanic winds are used to calculate S for 171 tropical cyclones during 2000-07. The S parameters are then used to classify all of the cases as either compact or incompact according to the 33% and 67% percentiles. It is found that the early intensification stage is favorable for the occurrence of compact tropical cyclones, which also have a higher percentage of rapid intensification than incompact cases. Composite infrared brightness temperature shows that compact tropical cyclones have highly axisymmetric convective structures with strong convection concentrated in a small region near the center. Low-level synoptic patterns are important environmental factors that determine the degree of compactness; however, it is believed that compact tropical cyclones maintain their structures mainly through internal dynamics.

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Physically based modeling of QuikSCAT SeaWinds passive microwave measurements for rain detection

Cited by 10 publications

References 29 publications

An Introduction to the Near–Real–Time QuikSCAT Data

An Introduction to the Near–Real–Time QuikSCAT Data

A Study on the Synoptic-Dynamical Characteristics of Compact Tropical Cyclones in the Western North Pacific

Some Implications of Core Regime Wind Structures in Western North Pacific Tropical Cyclones

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