James R. Carswell
University of Massachusetts Amherst
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Monthly Weather Review | 2007
Eric W. Uhlhorn; Peter G. Black; James L. Franklin; Mark Goodberlet; James R. Carswell; Alan S. Goldstein
Abstract For the first time, the NOAA/Aircraft Operations Center (AOC) flew stepped frequency microwave radiometers (SFMRs) on both WP-3D research aircraft for operational hurricane surface wind speed measurement in 2005. An unprecedented number of major hurricanes provided ample data to evaluate both instrument performance and surface wind speed retrieval quality up to 70 m s−1 (Saffir–Simpson category 5). To this end, a new microwave emissivity–wind speed model function based on estimates of near-surface winds in hurricanes by global positioning system (GPS) dropwindsondes is proposed. For practical purposes, utilizing this function removes a previously documented high bias in moderate SFMR-measured wind speeds (10–50 m s−1), and additionally corrects an extreme wind speed (>60 m s−1) underestimate. The AOC operational SFMRs yield retrievals that are precise to within ∼2% at 30 m s−1, which is a factor of 2 improvement over the NOAA Hurricane Research Division’s SFMR, and comparable to the precision fou...
Journal of Geophysical Research | 1999
William J. Donnelly; James R. Carswell; Robert E. McIntosh; Paul S. Chang; John Wilkerson; Frank D. Marks; Peter G. Black
A series of airborne scatterometer experiments designed to collect C and Ku band ocean backscatter data in regions of high ocean surface winds has recently been completed. More than 100 hours of data were collected using the University of Massachusetts C and Ku band scatterometers, CSCAT and KUSCAT. These instruments measure the full azimuthal normalized radar cross section (NRCS) of a common surface area of the ocean simultaneously at four incidence angles. Our results demonstrate limitations of the current empirical models, C band geophysical model function 4 (CMOD4), SeaSat scatterometer 2 (SASS 2), and NASA scatterometer 1 (NSCAT) 1, that relate ocean backscatter to the near-surface wind at high wind speeds. The discussion focuses on winds in excess of 15 m s−1 in clear atmospheric conditions. The scatterometer data are collocated with measurements from ocean data buoys and Global Positioning System dropsondes, and a Fourier analysis is performed as a function of wind regime. A three-term Fourier series is fit to the backscatter data, and a revised set of coefficients is tabulated. These revised models, CMOD4HW and KUSCAT 1, are the basis for a discussion of the NRCS at high wind speeds. Our scatterometer data show a clear overprediction of the derived NRCS response to high winds based on the CMOD4, SASS 2, and NSCAT 1 models. Furthermore, saturation of the NRCS response begins to occur above 15 m s−1. Sensitivity of the upwind and crosswind response is discussed with implications toward high wind speed retrieval.
Proceedings of the IEEE | 1994
James R. Carswell; S.C. Carson; Robert E. McIntosh; Fuk K. Li; G. Neumann; David J. McLaughlin; J.C. Wilkerson; Peter G. Black; S.V. Nghiem
Attempting to understand and predict weather on a local and global basis has challenged both the scientific and engineering communities. One key parameter in understanding the weather is the ocean surface wind vector because of its role in the energy exchange at the air-sea surface. scatterometers, radars that measure the reflectivity of a target offer a tool with which to remotely monitor these winds from tower-, aircraft-, and satellite-based platforms. This paper introduces three current airborne scatterometer systems, and presents data collected by these instruments under low-, moderate-, and high-wind conditions. The paper focuses on airborne scatterometers because of their ability to resolve submesoscale variations in wind fields. Discrepancies between existing theory and the observations are noted and the concerns in measuring low-wind speeds discussed. Finally, the application of using this technology for estimating the surface-wind vector during a hurricane is demonstrated. >
IEEE Transactions on Geoscience and Remote Sensing | 1995
Son V. Nghiem; Fuk K. Li; Shu-Hsiang Lou; G. Neumann; Robert E. McIntosh; Steven C. Carson; James R. Carswell; Edward J. Walsh; Mark A. Donelan; William M. Drennan
Ocean radar backscatter in the presence of large waves is investigated using data acquired with the Jet Propulsion Laboratory NUSCAT radar at Ku band for horizontal and vertical polarizations and the University of Massachusetts C-SCAT radar at C band for vertical polarization during the Surface Wave Dynamics Experiment. Off-nadir backscatter data of ocean surfaces were obtained in the presence of large waves with significant wave height up to 5.6 m. In moderate-wind cases, effects of large waves are not detectable within the measurement uncertainty and no noticeable correlation between backscatter coefficients and wave height is found. Under high-wave light-wind conditions, backscatter is enhanced significantly at large incidence angles,with a weaker effect at small incidence angles. Backscatter coefficients in the wind speed range under consideration are compared with SASS-II (Ku band), CMOD3-H1 (C band), and Plants model results which confirm the experimental observations. Variations of the friction velocity, which can give rise to the observed backscatter behaviors in the presence of large waves, are presented. >
international conference on acoustics, speech, and signal processing | 1997
Michael Petronino; Ray P. Bambha; James R. Carswell; Wayne Burleson
We describe a 95 GHz radar for an unmanned aerial vehicle (UAV). The radar measures vertical profiles of the reflectivity and Doppler velocity of clouds, which are then telemetered to the ground for storage. Telemetry bandwidth requires that substantial real-time data processing be done on the UAV in a low-power (less than 100 watts) and small size (less than 1 cubic foot) system. A prototype was developed in less than a year, thus a flexible programmable technology was required. Although typical remote sensing radars use DSP chips, it was determined that our power, size, performance and design-time requirements were best met using FPGA technology. Our system is based on the Giga-Ops Spectrum system which uses Xilinx FPGAs on a novel modular PCI board. Unlike numerous recent FPGA-based signal processors, this presents a new class of applications and embedded system requirements. Reconfigurable capabilities are currently being explored to support radar algorithms which can adapt to a changing environment.
Radio Science | 2014
Manuel Vega; V. Chandrasekar; James R. Carswell; Robert M. Beauchamp; Mathew R. Schwaller; Cuong M. Nguyen
The global precipitation measurement (GPM) mission is an international satellite mission to obtain accurate observations of precipitation on a global scale every 3 h. Its (GPM) core satellite was launched on 27 February 2014 with two science instruments: the microwave imager and the dual-frequency precipitation radar. Ground validation is an integral part of the GPM mission where instruments are deployed to complement and correlate with spacecraft instruments. The dual-frequency, dual-polarization, Doppler radar (D3R) is a critical ground validation instrument that was developed for the GPM program. This paper describes the salient features of the D3R in the context of the GPM ground validation mission. The engineering and architectural overview of the radar is described, and observations from successful GPM ground validation field experiments are presented.
ieee aerospace conference | 2011
Lihua Li; Gerald M. Heymsfield; James R. Carswell; Dan Schaubert; Matthew McLinden; Manuel Vega; Martin Perrine
The scope of this paper1 is the development and recent field deployments of the High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), which was funded under the NASA Instrument Incubator Program (IIP) [1]. HIWRAP is a dual-frequency (Ka- and Ku-band), dual-beam (30° and 40° incidence angles), conical scanning, Doppler radar system designed for operation on the NASA high-altitude (65,000 ft) Global Hawk Unmanned Aerial System (UAS). It utilizes solid state transmitters along with a novel pulse compression scheme that results in a system with compact size, light weight, less power consumption, and low cost compared to radars currently in use for precipitation and Doppler wind measurements. By combining measurements at Ku- and Ka-band, HIWRAP is able to image winds through measuring volume backscattering from clouds and precipitation. In addition, HIWRAP is also capable of measuring surface winds in an approach similar to SeaWinds on QuikScat. To this end, HIWRAP hardware and software development has been completed. It was installed on the NASA WB57 for instrument test flights in March, 2010 and then deployed on the NASA Global Hawk for supporting the Genesis and Rapid Intensification Processes (GRIP) field campaign in August-September, 2010. This paper describes the scientific motivations of the development of HIWRAP as well as system hardware, aircraft integration and flight missions. Preliminary data from GRIP science flights is also presented.
Journal of Geophysical Research | 1999
James R. Carswell; William J. Donnelly; Robert E. McIntosh; Mark A. Donelan; Douglas Vandemark
Airborne ocean backscatter measurements at C and Ku band wavelengths obtained in low to moderate-wind conditions are presented. The differences between the low-wind backscatter data and the CMOD4 and SASS-II models are reported. The measurements show that the upwind/crosswind backscatter ratio is greater than predicted. These large upwind/crosswind backscatter ratios are attributed to a rapid decrease in the crosswind backscatter at low winds. Qualitative agreement with the composite surface model proposed by Donelan and Pierson suggests the rapid decrease in the crosswind backscatter may be caused by viscous dampening of the Bragg-resonant capillary-gravity waves. We show that for larger antenna footprints typical of satellite-based scatterometers, the variability in the observed wind field smooths out the backscatter response such that the rapid decrease in the crosswind direction is not observed.
international geoscience and remote sensing symposium | 2010
V. Chandrasekar; Mathew R. Schwaller; Manuel Vega; James R. Carswell; Kumar Vijay Mishra; Robert Meneghini; Cuong M. Nguyen
As an integral part of Global Precipitation Measurement (GPM) mission, Ground Validation (GV) program proposes to establish an independent global cross-validation process to characterize errors and quantify uncertainties in the precipitation measurements of the GPM program. A ground-based Dual-Frequency Dual-Polarized Doppler Radar (D3R) that will provide measurements at the two broadly separated frequencies (Ku- and Ka-band) is currently being developed to enable GPM ground validation, enhance understanding of the microphysical interpretation of precipitation and facilitate improvement of retrieval algorithms. The first generation D3R design will comprise of two separate co-aligned single-frequency antenna units mounted on a common pedestal with dual-frequency dual-polarized solid-state transmitter. This paper describes the salient features of this radar, the system concept and its engineering design challenges.
international geoscience and remote sensing symposium | 2008
Lihua Li; Gerald M. Heymsfield; James R. Carswell; Dan Schaubert; Justin Creticos; Manuel Vega
This paper describes the development of the High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) which is funded under the NASA Instrument Incubator Program (IIP) . HIWRAP is a dual-frequency (Ka- and Ku-band), dual-beam (30deg and 40deg incidence angle), conical scan, Doppler radar system designed for operation on the high-altitude (65,000 ft) Global Hawk Unmanned Aerial System (UAS). It utilizes solid state transmitters along with novel pulse compression scheme that will result in a system that is considerably more compact in size, lighter in weight, less power consumption, and ultimately cost significantly less than radars currently in use for precipitation and Doppler wind measurements. By combining measurements at Ku- and Ka-band, HIWRAP will be able to image winds by measuring volume backscattering from clouds and precipitation.