Records
Author
Cronin, M.F. ; Gentemann, C.L. ; Edson, J. ; Ueki, I. ; Bourassa, M. ; Brown, S. ; Clayson, C.A. ; Fairall, C.W. ; Farrar, J.T. ; Gille, S.T. ; Gulev, S. ; Josey, S.A. ; Kato, S. ; Katsumata, M. ; Kent, E. ; Krug, M. ; Minnett, P.J. ; Parfitt, R. ; Pinker, R.T. ; Stackhouse Jr., P.W. ; Swart, S. ; Tomita, H. ; Vandemark, D. ; Weller, A.R. ; Yoneyama, K. ; Yu, L. ; Zhang, D.
Title
Air-Sea Fluxes With a Focus on Heat and Momentum
Type
$loc['typeJournal Article']
Year
2019
Publication
Frontiers in Marine Science
Abbreviated Journal
Front. Mar. Sci.
Volume
6
Issue
Pages
Keywords
Abstract
Turbulent and radiative exchanges of heat between the ocean and atmosphere (hereafter heat fluxes), ocean surface wind stress, and state variables used to estimate them, are Essential Ocean Variables (EOVs) and Essential Climate Variables (ECVs) influencing weather and climate. This paper describes an observational strategy for producing 3-hourly, 25-km (and an aspirational goal of hourly at 10-km) heat flux and wind stress fields over the global, ice-free ocean with breakthrough 1-day random uncertainty of 15 W m–2 and a bias of less than 5 W m–2. At present this accuracy target is met only for OceanSITES reference station moorings and research vessels (RVs) that follow best practices. To meet these targets globally, in the next decade, satellite-based observations must be optimized for boundary layer measurements of air temperature, humidity, sea surface temperature, and ocean wind stress. In order to tune and validate these satellite measurements, a complementary global in situ flux array, built around an expanded OceanSITES network of time series reference station moorings, is also needed. The array would include 500–1000 measurement platforms, including autonomous surface vehicles, moored and drifting buoys, RVs, the existing OceanSITES network of 22 flux sites, and new OceanSITES expanded in 19 key regions. This array would be globally distributed, with 1–3 measurement platforms in each nominal 10° by 10° box. These improved moisture and temperature profiles and surface data, if assimilated into Numerical Weather Prediction (NWP) models, would lead to better representation of cloud formation processes, improving state variables and surface radiative and turbulent fluxes from these models. The in situ flux array provides globally distributed measurements and metrics for satellite algorithm development, product validation, and for improving satellite-based, NWP and blended flux products. In addition, some of these flux platforms will also measure direct turbulent fluxes, which can be used to improve algorithms for computation of air-sea exchange of heat and momentum in flux products and models. With these improved air-sea fluxes, the ocean’s influence on the atmosphere will be better quantified and lead to improved long-term weather forecasts, seasonal-interannual-decadal climate predictions, and regional climate projections.
Address
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Summary Language
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Series Editor
Series Title
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Series Volume
Series Issue
Edition
ISSN
2296-7745
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ user @
Serial
1067
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Author
Gentemann, C.L. ; Clayson, C.A. ; Brown, S. ; Lee, T. ; Parfitt, R. ; Farrar, J.T. ; Bourassa, M. ; Minnett, P.J. ; Seo, H. ; Gille, S.T. ; Zlotnicki, V.
Title
FluxSat: Measuring the Ocean-Atmosphere Turbulent Exchange of Heat and Moisture from Space
Type
$loc['typeJournal Article']
Year
2020
Publication
Remote Sensing
Abbreviated Journal
Remote Sensing
Volume
12
Issue
11
Pages
1796
Keywords
air-sea interactions ; mesoscale ; fluxes
Abstract
Recent results using wind and sea surface temperature data from satellites and high-resolution coupled models suggest that mesoscale ocean-atmosphere interactions affect the locations and evolution of storms and seasonal precipitation over continental regions such as the western US and Europe. The processes responsible for this coupling are difficult to verify due to the paucity of accurate air-sea turbulent heat and moisture flux data. These fluxes are currently derived by combining satellite measurements that are not coincident and have differing and relatively low spatial resolutions, introducing sampling errors that are largest in regions with high spatial and temporal variability. Observational errors related to sensor design also contribute to increased uncertainty. Leveraging recent advances in sensor technology, we here describe a satellite mission concept, FluxSat, that aims to simultaneously measure all variables necessary for accurate estimation of ocean-atmosphere turbulent heat and moisture fluxes and capture the effect of oceanic mesoscale forcing. Sensor design is expected to reduce observational errors of the latent and sensible heat fluxes by almost 50%. FluxSat will improve the accuracy of the fluxes at spatial scales critical to understanding the coupled ocean-atmosphere boundary layer system, providing measurements needed to improve weather forecasts and climate model simulations.
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Series Editor
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Series Volume
Series Issue
Edition
ISSN
2072-4292
ISBN
Medium
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Funding
Approved
$loc['no']
Call Number
COAPS @ user @
Serial
1111
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Author
Parfitt, R. ; Ummenhofer, C.C. ; Buckley, B.M. ; Hansen, K.G. ; D'Arrigo, R.D.
Title
Distinct seasonal climate drivers revealed in a network of tree-ring records from Labrador, Canada
Type
$loc['typeJournal Article']
Year
2020
Publication
Climate Dynamics
Abbreviated Journal
Clim Dyn
Volume
54
Issue
3-4
Pages
1897-1911
Keywords
BLUE INTENSITY ; LATEWOOD DENSITY ; TEMPERATURE ; DENDROCLIMATOLOGY ; PRECIPITATION ; STANDARDIZATION ; VARIABILITY ; NUNATSIAVUT ; TRENDS ; GULF
Abstract
Traditionally, high-latitude dendroclimatic studies have focused on measurements of total ring width (RW), with the maximum density of the latewood (MXD) serving as a complementary variable. Whilst MXD has typically improved the strength of the growing season climate connection over that of RW, its measurements are costly and time-consuming. Recently, a less costly and more time-efficient technique to extract density measurements has emerged, based on lignin's propensity to absorb blue light. This Blue Intensity (BI) methodology is based on image analyses of finely-sanded core samples, and the relative ease with which density measurements can be extracted allows for significant increases in spatio-temporal sample depth. While some studies have attempted to combine RW and MXD as predictors for summer temperature reconstructions, here we evaluate a systematic comparison of the climate signal for RW and latewood BI (LWBI) separately, using a recently updated and expanded tree ring database for Labrador, Canada. We demonstrate that while RW responds primarily to climatic drivers earlier in the growing season (January-April), LWBI is more responsive to climate conditions during late spring and summer (May-August). Furthermore, RW appears to be driven primarily by large-scale atmospheric dynamics associated with the Pacific North American pattern, whilst LWBI is more closely associated with local climate conditions, themselves linked to the behaviour of the Atlantic Multidecadal Oscillation. Lastly, we demonstrate that anomalously wide or narrow growth rings consistently respond to the same climate drivers as average growth years, whereas the sensitivity of LWBI to extreme climate conditions appears to be enhanced.
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ISSN
0930-7575
ISBN
Medium
Area
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Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ user @
Serial
1119
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