System for Analysis of Wind Collocations (SAWC): A Novel Archive and Collocation Software Application for the Intercomparison of Winds from Multiple Observing Platforms-Reference-Cited by-同舟云学术

System for Analysis of Wind Collocations (SAWC): A Novel Archive and Collocation Software Application for the Intercomparison of Winds from Multiple Observing Platforms

Published:2024-03-07 Issue:1 Volume:3 Page:114-140
ISSN:2674-0494
Container-title:Meteorology
language:en
Short-container-title:Meteorology

Author:

Lukens Katherine E.¹²^ORCID,Garrett Kevin³,Ide Kayo⁴^ORCID,Santek David⁵^ORCID,Hoover Brett⁶^ORCID,Huber David⁷,Hoffman Ross N.¹²^ORCID,Liu Hui¹²

Affiliation:

1. NOAA/NESDIS/Center for Satellite Applications and Research (STAR), College Park, MD 20740, USA

2. Cooperative Institute for Satellite Earth System Studies (CISESS), University of Maryland, College Park, MD 20740, USA

3. NOAA/NWS/Office of Science and Technology Integration (OSTI), Silver Spring, MD 20910, USA

4. University of Maryland, College Park, MD 20742, USA

5. Cooperative Institute for Meteorological Satellite Studies (CIMSS), University of Wisconsin-Madison (UW-Madison), Madison, WI 53706, USA

6. Lynker Technologies, NOAA/NWS/NCEP/Environmental Modeling Center (EMC), College Park, MD 20740, USA

7. Redline Performance Solutions, LLC, NOAA/NWS/NCEP/Environmental Modeling Center (EMC), College Park, MD 20740, USA

Abstract

Accurate atmospheric 3D wind observations are one of the top priorities for the global scientific community. To address this requirement, and to support researchers’ needs to acquire and analyze wind data from multiple sources, the System for Analysis of Wind Collocations (SAWC) was jointly developed by NOAA/NESDIS/STAR, UMD/ESSIC/CISESS, and UW-Madison/CIMSS. SAWC encompasses the following: a multi-year archive of global 3D winds observed by Aeolus, sondes, aircraft, stratospheric superpressure balloons, and satellite-derived atmospheric motion vectors, archived and uniformly formatted in netCDF for public consumption; identified pairings between select datasets collocated in space and time; and a downloadable software application developed for users to interactively collocate and statistically compare wind observations based on their research needs. The utility of SAWC is demonstrated by conducting a one-year (September 2019–August 2020) evaluation of Aeolus level-2B (L2B) winds (Baseline 11 L2B processor version). Observations from four archived conventional wind datasets are collocated with Aeolus. The recommended quality controls are applied. Wind comparisons are assessed using the SAWC collocation application. Comparison statistics are stratified by season, geographic region, and Aeolus observing mode. The results highlight the value of SAWC’s capabilities, from product validation through intercomparison studies to the evaluation of data usage in applications and advances in the global Earth observing architecture.

Funder

NOAA/NESDIS Office

Cooperative Institute for Meteorological Satellite Studies (CIMSS) at the University of Wisconsin-Madison

Publisher

MDPI AG

Link

https://www.mdpi.com/2674-0494/3/1/6/pdf

Reference60 articles.

1. National Academies of Sciences, Engineering, and Medicine (2018). Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space, National Academies Press.

2. An assessment of ECMWF and NCEP-NCAR Reanalyses in the Southern Hemisphere at the end of the presatellite era: Results from the EOLE experiment (1971–1972);Hertzog;Mon. Weather. Rev.,2006

3. The Eole experiment: Early results and current objectives;Morel;BAMS,1973

4. The CONCORDIASI project in Antarctica;Rabier;Bull. Am. Meteorol. Soc.,2010

5. Rhodes, B., and Candido, S. (2023, October 19). Loon Stratospheric Sensor Data [Dataset]. Zenodo. Available online: https://zenodo.org/records/5119968.