TY - JOUR
T1 - Systematic Scatterometer Wind Errors Near Coastal Mountains
AU - Kilpatrick, Thomas
AU - Xie, Shang Ping
AU - Tokinaga, Hiroki
AU - Long, David
AU - Hutchings, Nolan
N1 - Funding Information:
QuikSCAT and C‐2015 ASCAT data are produced by Remote Sensing Systems and sponsored by the NASA Ocean Vector Winds Science Team. Data are available online (www.remss.com). The ICOADS wind and SLP climatology are available from Dr. Hiroki Tokinaga upon request. The Hawaii Regional Climate Model output is available online ( http://apdrc.soest.hawaii.edu ). The R/V Kilo Moana winds in Figure a were obtained from the SAMOS archive ( http://samos.coaps.fsu.edu ). We thank Drs. Sarah Gille, Tom Farrar, Bryan Stiles, Ad Stoffelen, Jur Vogelzang, Alma Castillo‐Trujillo, and Bruce Cornuelle for valuable discussions. This work is supported by the NASA Ocean Vector Winds Science Team (NNX14AL83G); D. L. and N. H. are also supported by the NASA Ocean Vector Winds Science Team (NNX14AM67G). Buoy wind data are available from the National Data Buoy Center ( https://www.ndbc.noaa.gov ). The animation of GOES‐16 cloud imagery in the supporting information was obtained from the National Weather Service San Diego twitter account ( https://twitter.com/NWSSanDiego/status/1001869430526218240 ).
Funding Information:
QuikSCAT and C-2015 ASCAT data are produced by Remote Sensing Systems and sponsored by the NASA Ocean Vector Winds Science Team. Data are available online (www.remss.com). The ICOADS wind and SLP climatology are available from Dr. Hiroki Tokinaga upon request. The Hawaii Regional Climate Model output is available online (http://apdrc.soest.hawaii.edu). The R/V Kilo Moana winds in Figure a were obtained from the SAMOS archive (http://samos.coaps.fsu.edu). We thank Drs. Sarah Gille, Tom Farrar, Bryan Stiles, Ad Stoffelen, Jur Vogelzang, Alma Castillo-Trujillo, and Bruce Cornuelle for valuable discussions. This work is supported by the NASA Ocean Vector Winds Science Team (NNX14AL83G); D. L. and N. H. are also supported by the NASA Ocean Vector Winds Science Team (NNX14AM67G). Buoy wind data are available from the National Data Buoy Center (https://www.ndbc.noaa.gov). The animation of GOES-16 cloud imagery in the supporting information was obtained from the National Weather Service San Diego twitter account (https://twitter.com/NWSSanDiego/status/1001869430526218240).
Publisher Copyright:
©2019. The Authors.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Satellite scatterometers provide the only regular observations of surface wind vectors over vast swaths of the world oceans, including coastal regions, which are of great scientific and societal interest but still present challenges for remote sensing. Here we demonstrate systematic scatterometer wind errors near Hawaii's Big Island: Two counter-rotating lee vortices, which are clear in the International Comprehensive Ocean-Atmosphere Data Set ship-based wind climatology and in aircraft observations, are absent in the Jet Propulsion Laboratory and Remote Sensing Systems scatterometer wind climatologies. We demonstrate similar errors in the representation of transient Catalina Eddy events in the Southern California Bight. These errors likely arise from the nonuniqueness of scatterometer wind observations, that is, an “ambiguity removal” is required during processing to select from multiple wind solutions to the geophysical model function. We discuss strategies to improve the ambiguity selection near coastal mountains, where small-scale wind reversals are common.
AB - Satellite scatterometers provide the only regular observations of surface wind vectors over vast swaths of the world oceans, including coastal regions, which are of great scientific and societal interest but still present challenges for remote sensing. Here we demonstrate systematic scatterometer wind errors near Hawaii's Big Island: Two counter-rotating lee vortices, which are clear in the International Comprehensive Ocean-Atmosphere Data Set ship-based wind climatology and in aircraft observations, are absent in the Jet Propulsion Laboratory and Remote Sensing Systems scatterometer wind climatologies. We demonstrate similar errors in the representation of transient Catalina Eddy events in the Southern California Bight. These errors likely arise from the nonuniqueness of scatterometer wind observations, that is, an “ambiguity removal” is required during processing to select from multiple wind solutions to the geophysical model function. We discuss strategies to improve the ambiguity selection near coastal mountains, where small-scale wind reversals are common.
UR - http://www.scopus.com/inward/record.url?scp=85074336098&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85074336098&partnerID=8YFLogxK
U2 - 10.1029/2019EA000757
DO - 10.1029/2019EA000757
M3 - Article
AN - SCOPUS:85074336098
SN - 2333-5084
VL - 6
SP - 1900
EP - 1914
JO - Earth and Space Science
JF - Earth and Space Science
IS - 10
ER -