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Scatterometer and Radiometer Data Sets

The Scatterometer Climate Record Pathfinder currently archives selected image and data products from these scatterometer missions. First select a sensor below, then the study region. Alternately, you can first select the study region then the sensor. Most users will be interested in all-pass or local-time-of-day A-type .SIR images.


Seasat Scatterometer (SASS)

SeaWinds* on QuikSCAT


NASA Scatterometer (NSCAT)


ERS-1/2 AMI (ERS)

SeaWinds* on ADEOS-II (Midori-2)

Tandem (combined) QuikSCAT*/SeaWinds*


Enhanced Resolution
ASCAT-1/-2/-3


Enhanced Resolution
SSM/I F13**


Enhanced Resolution
AMSR-E***


Gridded
TRMM PR


OceanSat-2 Scatterometer
and ScatSat Scatterometer
(OSCAT-1/-2)

Scatterometer Instrument Comparison

* Note: By JPL convention the SeaWinds instrument flown on the QuikSCAT satellite is termed "QuikSCAT", while the SeaWinds instrument flown on ADEOS2/Midori2 is termed "SeaWinds". The third SeaWinds instrument was flown on the ISS 2015-2016 and was termed "RapidScat".

** Created from the recalibrated version 7 of the F13 SSM/I data record produced by Remote Sensing Systems (RSS) www.remss.com. A full set conventional and enhanced resolution images of all SSM/I and SSMIS sensors and channels is available as part of the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR (nsidc.org/data/nsidc-0630).

*** The National Snow and Ice Data Center (NSIDC) hosts a more comprehensive set of enhanced resolution radiometer brightness temperature products that were produced using SCP techniques for the Calibrated Passive Microwave Daily Equal-Area Scalable Earth (EASE) Grid~2.0 Brightness Temperature (CETB) Earth System Data Record (ESDR) project. These include all SSM/I, SMMR, SSMIS, and SMAP radiometer sensors and channels.

While not required, we ask you to please send us your email addresss (via email to long@ee.byu.edu) when using data from the Scatterometer Climate Record Pathfinder (SCP). Your email address enables us to (1) keep you informed of any updates to SCP data and/or software and (2) justify continued funding to support product generation and distribution. Your email address will not be used for any other purpose.

We would also appreciate a notice of the publication where the image or data is used or appears. Send to long@ee.byu.edu.

Permission is granted to use and publish scatterometer-derived data from this website when accompanied by the following acknowledgment and one or more of the following references.

"Data is obtained from the NASA sponsored Scatterometer Climate Record Pathfinder at Brigham Young University courtesy of David G. Long."

D.G. Long, "Comparison of SeaWinds Backscatter Imaging Algorithms," IEEE Journal of Selected Topics in Applied Earth Observations, Vol. 10, No. 3, pp. 2214-2231, doi:10.1109/JSTARS.2016.2626966, 2017.

R. Lindsley and D.G. Long, "Enhanced-Resolution Reconstruction of ASCAT Backscatter Measurements," IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 5, pp. 2589-2601, doi:10.1109/TGRS.2015.2503762, 2016.

D.G. Long, M.R. Drinkwater, B. Holt, S. Saatchi, and C. Bertoia, "Global Ice and Land Climate Studies Using Scatterometer Image Data," EOS, Transaction of the American Geophysical Union, Vol. 82, No. 43, pg. 503, 23 Oct. 2001.

D.S. Early and D.G. Long, "Image Reconstruction and Enhanced Resolution Imaging from Irregular Samples," IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No. 2, pp. 291-302, 2001.

D.G. Long and D.L. Daum, "Spatial Resolution Enhancement of SSM/I Data," IEEE Transactions on Geoscience and Remote Sensing, Vol. 36, No. 2, pp. 407-417, Mar. 1998.

D.G. Long and M.J. Brodzik, "Optimum Image Formation for Spaceborne Microwave Radiometer Products," IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 5, pp. 2763-2779, doi:10.1109/TGRS.2015.2505677, 2016.

D.G. Long, M.J. Brodzik, and M. Hardman, "Enhanced Resolution SMAP Brightness Temperature Image Products," IEEE Transactions on Geoscience and Remote Sensing, Vol. 57. No. 7, pp. 4151-4163, doi:10.1109/TGRS.2018.2889427, 2019.