Scatterometry and scatterometer design issues are reviewed. The design of the NASA Scatterometer (NSCAT) to be flown on the Japanese ADEOS mission is presented. Building on Seasat experience, the NSCAT system includes several enhancements, such as three antenna azimuths in each of two swaths, and an onboard digital Doppler processor to allow backscatter measurements to be colocated everywhere within the orbit. These enhancements will greatly increase the quality of the NSCAT wind data. The ground processing of data is discussed, and scatterometers of the next decade are briefly described. >

/pdf/spaceborne-radar-measurement-of-wind-velocity-over-the-ocean-5d7xciw7i9.pdf

Spaceborne radar measurement of wind velocity over the ocean-an overview of the NSCAT scatterometer system

The precipitation radar (PR) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite is the first spaceborne radar to measure precipitation from space. The PR, operating at 13.8 GHz, is a 128-element active phased array that allows a fast and sophisticated cross-track scanning over a swath width of 215 km with a cross-range spatial resolution of about 4.3 km. The PR has a minimum detectable rain rate of 0.5 mm/h with range resolution of 250 m. In order to achieve a reliable and accurate rain echo data for three years mission life, functions for internal and external calibrations are implemented. Through a series of PR flight-model tests on the ground and an initial checkout just after the TRMM launch, it is confirmed that the PR functions properly and meets the performance requirements to quantitatively measure three-dimensional (3D) precipitation distribution from space.

Development of precipitation radar onboard the Tropical Rainfall Measuring Mission (TRMM) satellite

The Cloud Profiling Radar, the sole science instrument of the CloudSat Mission, is a 94-GHz nadir-looking radar that measures the power backscattered by hydrometeors (clouds and precipitation) as a function of distance from the radar. This instrument has been acquiring global time series of vertical cloud structures since June 2, 2006. In this paper, an overview of the radar performance and status, to date, is provided together with a description of the basic data products and the surface clutter rejection algorithm introduced for the Release 04 data product release.

https://www.engr.colostate.edu/~jhaynes/papers/2008_cs_ieee.pdf

CloudSat's Cloud Profiling Radar After Two Years in Orbit: Performance, Calibration, and Processing

There has been an increasing interest in the applications of polarimetric microwave radiometers for ocean wind remote sensing. Aircraft and spaceborne radiometers have found a few Kelvins wind direction signals in sea surface brightness temperatures, in addition to their sensitivities to wind speeds. However, it was not clear what physical scattering mechanisms produced the observed brightness dependence on wind direction. To this end, polarimetric microwave emissions from wind-generated sea surfaces are investigated with a polarimetric two-scale scattering model, which relates the directional wind-wave spectrum to passive microwave signatures of sea surfaces. Theoretical azimuthal modulations are found to agree well with experimental observations for all Stokes parameters from near nadir to 65/spl deg/ incidence angles. The upwind and downwind asymmetries of brightness temperatures were interpreted using the hydrodynamic modulation. The contributions of Bragg scattering by short waves, geometric optics scattering by long waves and sea foam are examined. The geometric optics scattering mechanism underestimates the directional signals in the first three Stokes parameters, and predicts no signals in the fourth Stokes parameter (V). In contrast, the Bragg scattering was found to dominate the wind direction signals from the two-scale model and correctly predicted the phase changes of the upwind and crosswind asymmetries in T/sub /spl upsi// and U from middle to high incidence angles. The phase changes predicted by the Bragg scattering theory for radiometric emission from water ripples is corroborated by the numerical Monte Carlo simulation of rough surface scattering. This theoretical interpretation indicates the potential use of polarimetric brightness temperatures for retrieving the directional wave spectrum of short gravity and capillary waves.

Modeling of wind direction signals in polarimetric sea surface brightness temperatures

Problems in the determination of Doppler parameters for spaceborne synthetic-aperture radar (SAR) data processing are examined. The degradations in image quality due to errors in these parameters are summarized. We show that these parameters can be estimated using accurate spacecraft ancillary data. In cases where such data are not available, we propose two techniques to estimate these parameters using the coherent radar return. These techniques were tested with the Seasat SAR data and the test results demonstrate that the accuracies achieved exceed the system performance requirements. Possible applications of these techniques in other areas of SAR data utilization are briefly discussed.

Doppler Parameter Estimation for Spaceborne Synthetic-Aperture Radars

The authors compare the performance of seven wind-estimation algorithms, including the weighted least squares in the log domain, maximum-likelihood (ML), least squares, weighted least squares, adjustable weighted least squares, L1 norm, and least wind speed squares algorithms, for wind retrieval. For each algorithm, they present performance simulation results for the NASA scatterometer system planned to be launched in the 1990s. A relative performance merit based on the root-mean-square value of wind vector error is devised. It is found that performances of all algorithms are quite comparable. However, the results do indicate that the ML algorithm performs best for the 50-km wind resolution cell case and the L1 norm algorithm performs best for the 25-km wind resolution cell case. >

A comparative study of several wind estimation algorithms for spaceborne scatterometers

L-band microwave backscatter and brightness temperature of sea surfaces acquired using the Passive/Active L-band Sensor during the High Ocean Wind campaign are reported in terms of their dependence on ocean surface wind speed and direction. We find that the L-band VV, HH, and HV radar backscatter data increase by 6-7 dB from 5 to 25 m/s wind speed at a 45° incidence angle. The data suggest the validity of Phased Array type L-band Synthetic Aperture Radar (PALSAR) HH model function between 5 and 15 m/s wind speeds, but show that the extrapolation of PALSAR model at above 20 m/s wind speeds overpredicts A0 and a1 coefficients. There is wind direction dependence in the radar backscatter with about 4 dB differences between upwind and crosswind observations at 24 m/s wind speed for VV and HH. The passive brightness temperatures show about a 5-K change for TV and a 7-K change for TH for a wind speed increasing from 5 to 25 m/s. Circle flight data suggest a wind direction response of about 1-2 K in TV and TH at 14 and 24 m/s wind speeds. The L-band microwave data show excellent linear correlation with the surface wind speed with a correlation better than 0.95. The results support the use of L-band radar data for estimating the wind-driven excess brightness temperature of sea surfaces. The data also support the applications of L-band microwave signals for high-resolution (kilometer scale) observation of ocean surface winds under high wind conditions (10-28 m/s).

Passive and Active L-Band Microwave Observations and Modeling of Ocean Surface Winds

SIR-C/X-SAR observations of rain storms

An extensive data set of radar backscatter measurements at 14 GHz was used to evaluate the locations of the azimuthal modulation minima relative to the cross-wind directions. It was found that the minima were significantly offset from the cross-wind directions toward the downwind direction for the horizontal polarization data. These offsets were substantially smaller for the vertical polarization data. Simple scattering model calculations, based on the two-scale scattering approach, also show similar offsets. Implications of these results for the goephysical model function are discussed.

Studies of the location of azimuth modulation minima for Ku band ocean radar backscatter

Scatterometer model functions which directly estimate friciton velocity, have been developed and are being tested with radar and in-situ data acquired during the Surface Wave Dynamics Experiment of 1991.

Fuk K. Li

Papers

A comparative study of several wind estimation algorithms for spaceborne scatterometers

Passive and Active L-Band Microwave Observations and Modeling of Ocean Surface Winds

SIR-C/X-SAR observations of rain storms

Studies of the location of azimuth modulation minima for Ku band ocean radar backscatter

Measurements of Ocean Surface Stress Using Aircraft Scatterometers