3 edition of Correction of WindScat scatterometric measurements by combining with AMSR radiometric data found in the catalog.
Correction of WindScat scatterometric measurements by combining with AMSR radiometric data
by Radar Systems and Remote Sensing Laboratory, University of Kansas Center for Research, National Aeronautics and Space Administration, National Technical Information Service, distributor in Lawrence, Kan, [Washington, DC, Springfield, Va
Written in English
|Statement||S. Song and R.K. Moore.|
|Series||RSL technical report -- 11960-1., [NASA contractor report] -- NASA-CR-201451., NASA contractor report -- NASA CR-201451.|
|Contributions||Moore, Richard K., United States. National Aeronautics and Space Administration.|
|The Physical Object|
The Scatterometer Climatology of Ocean Winds (SCOW) C.M. Risien and D.B. Chelton The Scatterometer Climatology of Ocean Winds (SCOW) was first released in November based on 8 years (September - August ) of QuikSCAT scatterometer data. prior to the wind retrieval. Within this process the SAR data are corrected for radiometric calibration, scalloping (Romeiser et al., ) as well as beams and nadir ambiguity lines. In case of Radarsat-2 cross pol data the contribution of the noise floor to the NRCS is removed in .
methods on smaller size objects, and what level of correction is required. The purpose of this work is to determine the role of attenuation and scatter corrections as a function of object size through simulations. The simulations were performed using Interactive Data . Degree Search. Browse by school. Course Search.
graphic measurements spanning a range of atmospheric and oceanic conditions. Wentz and coworkers ,  have used the full Seasat data set to derive a Ku-band model function ("SASS-2"); the Seasat data reprocessed using this model is the most consistent, highest quality spaceborne scatterometer data . Correction of WindScat Scatterometric Measurements by Combining with AMSR Radiometric Data, S. Song, R.K. Moore; Technical Report RSL-FYTR; June (pdf) (BibTeX).
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Get this from a library. Correction of WindScat scatterometric measurements by combining with AMSR radiometric data. [S Song; Richard K Moore; United. NASA Technical Reports Server (NTRS) Correction of WindScat Scatterometric Measurements by Combining with AMSR Radiometric Data Item Preview.
Correction of WindScat Scatterometric Measurements by. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract–An attenuation-correction algorithm for the Sea-Winds instrument uses the AMSR brightness temperature to find the attenuation experienced by the scatterometer signal.
The algorithm uses the concept of excess temperature TeXto evaluate the attenuation. The excess temperature TeXis the difference between.
Correction of WindScat Scatterometric Measurements by Combining with AMSR Radiometric Data. the errors without correction can be quite large, so the correction.
Main Validation Source for High Winds Stepped Frequency Microwave Radiometer SFMR B. Klotz and E. Uhlhorn, JAOT,41, – Data provided by NOAA AOML HRD. Reprocessed release.
SFMR has notbeen used in deriving es independent source for validation for. – Radiometric resolution and ambiguities: In order to perform wind extraction on a reliable basis, it is important to limit the level of random errors in the measured data. The speciﬁcation on radiometric resolution limits the level of such errors in the measurement due to the effects arising from speckle (the.
gaiser et al.: windsat spaceborne polarimetric microwave radiometer table i windsat performance requirements table ii performance requirements for absolute accuracy requirements are k for the vertical and horizontal polarizations and k for the third and fourth stokes nedt requirements assume scene brightness temperature of k table iii.
Light Source: Available light sources include UV, blue, green, yellow, red, near IR and white LED’s that can be configured for either reflective or transmissive highest possible resolution, we can use superluminescent LED’s (SLEDs), but these only come in blue, red and NIR.
Control: Our basic scatterometers offer simple and precise manual control of the sample position and. Center for Ocean-Atmospheric Prediction Studies. IOVWST | IOVWST | IOVWST | IOVWST | IOVWST | IOVWST | IOVWST | IOVWST | IOVWST | IOVWST | Scatterometry and Climate | OVWST | OVWST | OVWST at EUMETSAT | OVWST | OVWST.
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Pierre-Louis Frison, Eric Mougin, in Land Surface Remote Sensing in Continental Hydrology, Abstract: Scatterometers are sidelooking radar sensors designed to precisely evaluate the radar backscatter coefficient σ 0 of the surfaces being observed.
However, as we will aim to demonstrate, this high radiometric resolution is obtained at the cost of spatial resolution. Correction of WindScat Scatterometric Measurements by Combining with AMSR Radiometric Data. scanning radiometer on ADEOS-2 to correct for.
The Advanced Wind Scatterometer (ASCAT) instrument [1 & 2] is one of the instruments carried by the ESA / EUMETSAT METOP satellites (METOP A, B & C).
The ASCAT is a six-beam radar instrument designed to measure wind fields over the oceans; the instrument also provides useful data for ice and land applications. The radiometric performance of the ASCAT carried by METOP-A is. The global coverage and high resolution of the QuikSCAT data in combination with near all-weather microwave satellite measurements of SST from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (Wentz et al.
) and the Advanced Microwave Scanning Radiometer on the NASA Earth Observing System (EOS) Aqua satellite (AMSR-E; Chelton. determine the wind vector, and then it can be used to decide whether to attempt correction or to flag the data as unusable.
We developed model thresholds from analysis of the regressions of height vs. rain rate using TRMM data from January, to January,and simulations of the corrections for which rms errors were calculated. The Advanced Wind Scatterometer (ASCAT) is a six-beam spaceborne radar instrument designed to measure wind fields over the oceans.
An ASCAT instrument is carried by each of the three METOP satellites. The ASCAT calibration strategy is described and detailed results are presented concerning the radiometric calibration achieved. An extensive validation of the RSS QuikSCAT V4 wind data has been performed, by comparing the QuikSCAT retrievals to in situ measurements (buoys, aircraft), other satellite retrievals, and output from numerical weather models and data assimilation models.
Scatterometer data has also proved to be very useful in a variety of studies, including polar ice and tropical vegetation. Water plays a unique role at microwave frequencies at which scatterometers are operated.
It is the only naturally abundant medium with a high dielectric constant, so increasing the fraction of liquid water contained in soil. the SeaWinds data set.
The Ku model function (Wentz, et al., ) was used in processing the scatterometer data so observed changes to the wind vectors are due entirely to the correction technique. In this paper, we present an example of the rain. QuikSCAT data is routinely utilized by forecasters at the NOAA/NCEP Ocean Prediction Center, Tropical Prediction Center, and other NOAA weather forecast offices to improve the accuracies of wind warnings in marine forecasts.
1. Introduction Satellite scatterometer measurements of m vector winds were recently used to assess the accuracies of.The data gathered by these scatterometers covers almost a decade of vector winds.
One use of this data results in improved weather forecasts. The ERS scatterometers differ from others in that they operate on C-band (which has longer waves than Ku-band), they cover less area (one km wide swath), and they are not always in operation.The data file format remains the same for both the QuikScat V4 and SeaWinds V3a data.
The data file folder name is "bmaps_v04" and the file version designation has changed to "v4." All read routines (Fortran, IDL, MatLab and Python) will work on QuikScat v4 data as well as SeaWinds v3a data.