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The SeaWinds scatterometer will fly on the NASA Quickscat spacecraft in 1998, and on the Japanese ADEOS-II mission in 2000. In addition to providing ocean surface wind estimates for use by weather forcasters, these flights will generate a global Ku-Band backscatter data set for a variety of climate studies.
Though designed to measure vector ocean winds, new imaging techniques facilitate the use of spaceborne scatterometer data in climate change studies of polar ice sheets.
Spatial variations of the east-west and north-south components of surface wind stress are critical in studies of ocean circulation and biological-physical interactions because surface wind stress curl produces a vertical velocity in the upper ocean at the bottom of the Ekman Layer.The ERS-1 scatterometer provides reasonable coverage and direct measurements of vector of winds. Three schemes are evaluated relative to high-quality moored-bouy wind observations recorded in the central Arabian Sea, where high surface waves and high atmospheric water content during the southeast monsoon adversely affect the estimation of satellite-derived winds.
An experiment using a polarimetric scatterometer (POLSCAT) has been conducted by JPL for ocean surface wind measurement. It shows that (sigma) (subscript)0 values for HH, W, HV, and VH have the property of even symmetry with respect to the upwind direction, and correlation coefficients between co- and cross-polarizations have the odd symmetry property. In this paper, the symmetry properties will be further examined using polarimetric analysis to investigate the depolarization effect, the scattering mechanism, and the polarization orientation angle. Theoretical results based on a two scale model are used to verify the derived experiment results. The newly derived symmetry property has the potential to solve the 180(deg) ambiguity in wind direction, and to enhance the accuracy of wind vector measurements.
The SeaWinds scatterometer onboard QuikSCAT covers approximately 90% of the global ocean under clear and cloudy condition in 24 h, and the standard data product has 25-km spatial resolution. Such spatial resolution is not sufficient to resolve small-scale processes, especially in coastal oceans. Based on range-compressed normalized backscatter and a modified wind retrieval algorithm, a coastal wind dataset at 12.5-km resolution was produced. Even with larger error, the high-resolution winds, in medium to high strength, would still be useful over coastal ocean. Using measurements from moored buoys from the National Buoy Data Center, the high-resolution QuikSCAT wind data are found to have similar accuracy as standard data in the open ocean. The accuracy of both high- and standard-resolution winds, particularly in wind directions, is found to degrade near shore. The increase in error is likely caused by the inadequacy of the geophysical model function/ambiguity removal scheme in addressing coastal conditions and light winds situations. The modified algorithm helps to bring the directional accuracy of the high-resolution winds to the accuracy of the standard-resolution winds in near-shore regions, particularly in the nadir and far zones across the satellite track.
The SeaWinds on QuikSCAT scatterometer is a device developed by NASA JPL to measure the speed adn direction of ocean surface winds.
Satellite scatterometer wind velocity measurements are a new source of data for studies of seasonal-to-interannual ocean-atmospere interactions in the Arabian Sea, where the largest and steadiest wind speeds occur in northrern summer.
This paper describes the four parts of the NASA Scatterometer (NSCAT) Experiment: the instrument, the ground system, the calibration and validation program, and the science studies. The instrument developed by NASA/JPL is being flown on the National Space Agency of Japan's Advanced Earth Observation Satellite (ADEOS) and represents a major collaborative effort between USA and Japan in Earth remote sensing.
The potential for near-real-time NASA Scatterometer (NSCAT) data to contribute to operational marine forecasting is described. A description of the NSCAT Value Added Product (VAP) activity -an effort to provide near-real-time wind images to the public and operational forecasters- is presented.
Maps of sea ice have been based on a combination of observations from aircraft and ships, and infrared and passive microwave data from various spaceborne sensors. Described here is the potential of using dual-polarized scatterometer returns from the polar oceans to identify the edge of the ice cover. This ice edge could be used to compute the ice extent, which may be a useful indicator of climatic changes.
Satellite wind scatterometers are microwave radar instruments designed specifically to measure near-surface wind speed and direction over the global ocean.
To aid in calibrating and monitoring the performance of the NASA scatterometer (NSCAT), a calibration ground station(CGS) was operated in White Sands, New Mexico from mid November 1996 through February 1997.
ERS-1/2 SAR and Wind Scatterometer data are analyzed together with SSM/I radiometer data to investigate interannual variability in Weddell Sea ice and summer melt signatures during the period 1992-1997.
An assessment of the water supply and its seasonal and annual changes over the century in the High Mountain Asia (HMA) region is of increasing interest due to its potential impact on one-sixth of the global population. In order to understand the changing hydrology and snow and ice melt, we used remotely sensed Advanced Scatterometer (ASCAT) observations of glacier melt (GM) and a distributed and gridded Glacio-hydrological Degree-day Model (GDM) in three river basins: Tamor, Trishuli and Marsyangdi. The GDM-estimated contribution of snowmelt, icemelt, rainfall and baseflow in river flows is found to be most accurate in the Trishuli River basin, with Nash-Sutcliffe efficiency (NSE) between the estimated and observed discharges of 0.81 and volume differences of -0.5%, and reasonably accurate in the Tamor River basin, with NSE of 0.69 and volume difference of -7.51%. Similarly, NSE of 0.81 and volume difference of 4.64% in Marsyangdi River basin. We find strong similarities in the timing of glacier melting using the GDM and from observations from the ASCAT GM, determining the seasonal start of glacier melting to within 6 days on average. In all basins ASCAT GM observes melting at higher elevations relative to GDM, average of 5,328 m a.s.l. Systematic differences in glacier melting area determined by modeling and satellite observations indicate ASCAT may have suboptimal resolution, view geometry and/or polarimetry for delineating glacier melting at the process-scale in complex topography, especially in the ablation zone. This is the first step in examining the remote sensing products that could potentially be incorporated into hydrologic models to increase the accuracy of the hydrologic flow as well as the ability to estimate river discharge in other basins with limited data.
Radar Doppler scatterometer for reflectivity studies of earth terrain that simulates lunar surfaces
Radar scatterometer system to measure radar reflectivity or scattering cross sections of various surfaces as function of incidence angle
Scatterometer data analysis for ocean surface roughness measurements
Evaluation and processing of scatterometer data for use in NASA Earth Resources Program