TY - JOUR
T1 - Coordinating Innovative Observations and Modeling to Improve Coastal Environmental Prediction Systems
AU - Haus, Brian K.
AU - Ortiz-Suslow, David G.
AU - Doyle, James D.
AU - Flagg, David D.
AU - Graber, Hans C.
AU - MacMahan, Jamie
AU - Shen, Lian
AU - Wang, Qing
AU - Willams, Neil J.
AU - Yardim, Caglar
N1 - Funding Information:
Acknowledgments. This work was sponsored by the U.S. Office of Naval Research (ONR) through an ONR Departmental Research Initiative (DRI), Coastal Land–Air–Sea Interaction (CLASI). We thank Dr. Reginald Beach and Dr. Daniel P. Eleuterio of ONR for supporting this project during very challenging times for research. Thanks to the captain and crew members of R/V Sally Ride and the R/V John Martin. Thanks to John Kemp, Jim Ryder, and Nico Llanos of the Woods Hole Oceanographic Mooring group for their invaluable contributions to the mooring design and deployment. Thanks to the Long Marine Lab Moss Landing Marine Laboratory, the city of Marina Water and Sewer Department, and the city of Pacific Grove Water and Sewer Department for providing locations and support for shore based stations. Thanks to the other researchers, students, and staff, without which this work would not be possible. From the University of Miami: Dr. William Drennan, Dr. Milan Curcic, Dr. Sanchit Mehta, Dr. Bjoern Lund, Jacob Brooks, Ryland Lewis, Rolando Gonzalez, Cedric Guigand, Samantha Medina, Samantha Ballard, Samantha Furtney, Jennifer Stone, and Frances May. From the Naval Postgraduate School: Charlotte Benbow and Paul Jessen, Christopher Miller, Jesus Ruiz-Plancarte, and Ryan Yamaguchi. From the Naval Research Laboratory: Dr. Xiaodong Hong, Dr. James Hlywiak, and Chad Hutchins. From Science Applications International Corporation: Jacob Yung and Daniel Geiszler. From Coastal Carolina University: Mathew Stanek. From the University of Wisconsin–Milwaukee: Andrew Westgate. From the University of Minnesota: Xuanting Hao and Jagmohan Singh.
Publisher Copyright:
© 2022 American Meteorological Society. All rights reserved.
PY - 2022/3
Y1 - 2022/3
N2 - The Coastal Land-Air-Sea Interaction (CLASI) project aims to develop new "coastaware" atmospheric boundary and surface layer parameterizations that represent the complex land-sea transition region through innovative observational and numerical modeling studies. The CLASI field effort involves an extensive array of more than 40 land- and ocean-based moorings and towers deployed within varying coastal domains, including sandy, rocky, urban, and mountainous shorelines. Eight Air-Sea Interaction Spar (ASIS) buoys are positioned within the coastal and nearshore zone, the largest and most concentrated deployment of this unique, established measurement platform. Additionally, an array of novel nearshore buoys and a network of landbased surface flux towers are complemented by spatial sampling from aircraft, shore-based radars, drones, and satellites. CLASI also incorporates unique electromagnetic wave (EM) propagation measurements using a coherent array, drone receiver, and a marine radar to understand evaporation duct variability in the coastal zone. The goal of CLASI is to provide a rich dataset for validation of coupled, data assimilating large-eddy simulations (LES) and the Navy's Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). CLASI observes four distinct coastal regimes within Monterey Bay, California (MB). By coordinating observations with COAMPS and LES simulations, the CLASI efforts will result in enhanced understanding of coastal physical processes and their representation in numerical weather prediction (NWP) models tailored to the coastal transition region. CLASI will also render a rich dataset for model evaluation and testing in support of future improvements to operational forecast models.
AB - The Coastal Land-Air-Sea Interaction (CLASI) project aims to develop new "coastaware" atmospheric boundary and surface layer parameterizations that represent the complex land-sea transition region through innovative observational and numerical modeling studies. The CLASI field effort involves an extensive array of more than 40 land- and ocean-based moorings and towers deployed within varying coastal domains, including sandy, rocky, urban, and mountainous shorelines. Eight Air-Sea Interaction Spar (ASIS) buoys are positioned within the coastal and nearshore zone, the largest and most concentrated deployment of this unique, established measurement platform. Additionally, an array of novel nearshore buoys and a network of landbased surface flux towers are complemented by spatial sampling from aircraft, shore-based radars, drones, and satellites. CLASI also incorporates unique electromagnetic wave (EM) propagation measurements using a coherent array, drone receiver, and a marine radar to understand evaporation duct variability in the coastal zone. The goal of CLASI is to provide a rich dataset for validation of coupled, data assimilating large-eddy simulations (LES) and the Navy's Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). CLASI observes four distinct coastal regimes within Monterey Bay, California (MB). By coordinating observations with COAMPS and LES simulations, the CLASI efforts will result in enhanced understanding of coastal physical processes and their representation in numerical weather prediction (NWP) models tailored to the coastal transition region. CLASI will also render a rich dataset for model evaluation and testing in support of future improvements to operational forecast models.
KW - Atmosphere-land interaction
KW - Atmosphere-ocean interaction
KW - Buoy observations
KW - In situ atmospheric observations
KW - In situ oceanic observations
KW - Numerical weather prediction/ forecasting
UR - http://www.scopus.com/inward/record.url?scp=85127894530&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85127894530&partnerID=8YFLogxK
U2 - 10.1175/BAMS-D-20-0304.1
DO - 10.1175/BAMS-D-20-0304.1
M3 - Article
AN - SCOPUS:85127894530
VL - 103
SP - E889-E898
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
SN - 0003-0007
IS - 3
ER -