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  • 1
    Type of Medium: Book
    Series Statement: Preprints / Koninklijk Nederlands Meteorologisch Instituut 99,32
    Language: Undetermined
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  • 2
    Type of Medium: Book
    Series Statement: Preprints / Koninklijk Nederlands Meteorologisch Instituut 97,4
    Language: Undetermined
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  • 3
    Publication Date: 2022-05-25
    Description: Author Posting. © American Meteorological Society, 2013. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Physical Oceanography 43 (2013): 1589–1610, doi:10.1175/JPO-D-12-0173.1.
    Description: This study investigates the exchange of momentum between the atmosphere and ocean using data collected from four oceanic field experiments. Direct covariance estimates of momentum fluxes were collected in all four experiments and wind profiles were collected during three of them. The objective of the investigation is to improve parameterizations of the surface roughness and drag coefficient used to estimate the surface stress from bulk formulas. Specifically, the Coupled Ocean–Atmosphere Response Experiment (COARE) 3.0 bulk flux algorithm is refined to create COARE 3.5. Oversea measurements of dimensionless shear are used to investigate the stability function under stable and convective conditions. The behavior of surface roughness is then investigated over a wider range of wind speeds (up to 25 m s−1) and wave conditions than have been available from previous oversea field studies. The wind speed dependence of the Charnock coefficient α in the COARE algorithm is modified to , where m = 0.017 m−1 s and b = −0.005. When combined with a parameterization for smooth flow, this formulation gives better agreement with the stress estimates from all of the field programs at all winds speeds with significant improvement for wind speeds over 13 m s−1. Wave age– and wave slope–dependent parameterizations of the surface roughness are also investigated, but the COARE 3.5 wind speed–dependent formulation matches the observations well without any wave information. The available data provide a simple reason for why wind speed–, wave age–, and wave slope–dependent formulations give similar results—the inverse wave age varies nearly linearly with wind speed in long-fetch conditions for wind speeds up to 25 m s−1.
    Description: This work was funded by the National Science Foundation Grant OCE04-24536 as part of the CLIVAR Mode Water Dynamics Experiment (CLIMODE) and the Office of Naval Research Grant N00014-05-1-0139 as part of the CBLAST-LOW program.
    Description: 2014-02-01
    Keywords: Wind shear ; Wind stress ; Atmosphere-ocean interaction ; Fluxes ; Momentum ; Algorithms
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 4
    Publication Date: 2022-05-26
    Description: Author Posting. © American Meteorological Society, 2020. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Climate 33(19), (2020): 8415-8437, doi:10.1175/JCLI-D-19-0954.1.
    Description: Four state-of-the-art satellite-based estimates of ocean surface latent heat fluxes (LHFs) extending over three decades are analyzed, focusing on the interannual variability and trends of near-global averages and regional patterns. Detailed intercomparisons are made with other datasets including 1) reduced observation reanalyses (RedObs) whose exclusion of satellite data renders them an important independent diagnostic tool; 2) a moisture budget residual LHF estimate using reanalysis moisture transport, atmospheric storage, and satellite precipitation; 3) the ECMWF Reanalysis 5 (ERA5); 4) Remote Sensing Systems (RSS) single-sensor passive microwave and scatterometer wind speed retrievals; and 5) several sea surface temperature (SST) datasets. Large disparities remain in near-global satellite LHF trends and their regional expression over the 1990–2010 period, during which time the interdecadal Pacific oscillation changed sign. The budget residual diagnostics support the smaller RedObs LHF trends. The satellites, ERA5, and RedObs are reasonably consistent in identifying contributions by the 10-m wind speed variations to the LHF trend patterns. However, contributions by the near-surface vertical humidity gradient from satellites and ERA5 trend upward in time with respect to the RedObs ensemble and show less agreement in trend patterns. Problems with wind speed retrievals from Special Sensor Microwave Imager/Sounder satellite sensors, excessive upward trends in trends in Optimal Interpolation Sea Surface Temperature (OISST AVHRR-Only) data used in most satellite LHF estimates, and uncertainties associated with poor satellite coverage before the mid-1990s are noted. Possibly erroneous trends are also identified in ERA5 LHF associated with the onset of scatterometer wind data assimilation in the early 1990s.
    Description: FRR, JBR, and MGB acknowledge support for this investigation through the NASA Energy and Water Cycle Study (NEWS), Dr. Jared Entin, Program Manager. MS acknowledges the financial support by the EUMETSAT member states through CM SAF. The NOAA-CIRES-DOE Twentieth Century Reanalysis Project version 3 used resources of the National Energy Research Scientific Computing Center managed by Lawrence Berkeley National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract DE-AC02-05CH11231 and used resources of NOAA’s remotely deployed high-performance computing systems. Support for the Twentieth Century Reanalysis Project version 3 dataset is provided by the U.S. DOE, Office of Science Biological and Environmental Research (BER), by the NOAA Climate Program Office, and by the NOAA Physical Sciences Laboratory. RSS products are supported by funding from the NASA Earth Science Division. H. Tomita acknowledges support from JSPS Grants JP18H03726, JP18H03737, and JP19H05696 and JAXA Announcement EO-2. We gratefully acknowledge provision and institutional support for the following SST datasets: ESA CCI (http://data.ceda.ac.uk/neodc/esacci/sst/data/CDR_v2/); NOAA Optimum Interpolation 1/4 Degree Daily Sea Surface Temperature (OISST) Analysis, version 2, (https:/doi.org/10.7289/V5SQ8XB5); NOAA ERSST v5 (https:/doi.org/10.7289/V5T72FNM) and access to COBE-SST2 provided by the NOAA/OAR/ESRL PSD (boyin.huang@noaa.gov); 20CRv3 data are available at the NERSC Science Tape Gateway via portal.nersc.gov.
    Description: 2021-03-01
    Keywords: Atmosphere-ocean interaction ; Hydrologic cycle ; Microwave observations ; Satellite observations ; Reanalysis data ; Decadal variability
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 5
    Publication Date: 2022-05-26
    Description: Author Posting. © American Meteorological Society, 2014. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Physical Oceanography 44 (2014): 2590, doi:10.1175/JPO-D-14-0140.1.
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 6
    Publication Date: 2024-01-09
    Keywords: Comment; ERA-CLIM; European Reanalysis of Global Climate Observations; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
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  • 7
    Publication Date: 2024-01-09
    Keywords: Comment; ERA-CLIM; European Reanalysis of Global Climate Observations; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
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  • 8
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    In:  Supplement to: Stickler, Alexander; Brönnimann, Stefan; Jourdain, Sylvie; Roucaute, Eméline; Sterin, Alexander M; Nikolaev, Dmitrii; Valente, Maria Antónia; Wartenburger, Richard; Hersbach, Hans; Ramella Pralungo, Lorenzo; Dee, Dick P (2014): Description of the ERA-CLIM historical upper-air data. Earth System Science Data, 6(1), 29-48, https://doi.org/10.5194/essd-6-29-2014
    Publication Date: 2024-01-09
    Description: Historical, i.e. pre-1957, upper-air data are a valuable source of information on the state of the atmosphere, in some parts of the World back to the early 20th century. However, to date reanalyses have only partially made use of these data, and only of observations made after 1948. Even for the period between 1948 (the starting year of the NCEP/NCAR reanalysis) and the International Geophysical Year in 1957 (the starting year of the ERA-40 reanalysis), when the global upper-air coverage reached more or less its current status, many observations have not been digitised until now. The Comprehensive Historical Upper-Air Network (CHUAN) already compiled a large collection of pre-1957 upper-air data. In the framework of the European project ERA-CLIM, significant amounts of additional upper-air data have been catalogued (〉 1.3 mio station days), imaged (〉 200,000 images) and digitised (〉 700,000 station days) in order to prepare a new input dataset for upcoming reanalyses. The records cover large parts of the globe, focussing on so far less well covered regions such as the Tropics, the polar regions and the Oceans, and on very early upper-air data from Europe and the US. The total number of digitised/inventoried records is 61/101 for moving upper-air data, i.e. data from ships etc., and 735/1,783 for fixed upper-air stations. Here, we give a detailed description of the resulting dataset including the metadata and the quality checking procedures applied. The data will be included in the next version of CHUAN.
    Keywords: ERA-CLIM; European Reanalysis of Global Climate Observations
    Type: Dataset
    Format: application/zip, 813 datasets
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  • 9
    Publication Date: 2024-05-30
    Description: Important data from the African Centre of Meteorological Applications for Development (ACMAD) collection have been recently rescued from unstable fiche media and scanned to digital images by the EU funded Copernicus Climate Change Service and the Royal Meteorological Institute (RMI) of Belgium. The team at the C3S2-311 Lot 1 Collection and Processing of In Situ Observations service led by the Irish Climate Analysis and Research UnitS (ICARUS) at Maynooth University, Ireland enrolled the help of 2nd year university undergraduate students to transcribe quickly and effectively some of these important ACMAD meteorological surface observations. New and unique datasets for Macenta, Guinea (1947-1953) and Andapa, Madagascar (1949-1957) were digitised with each station consisting of sub-daily observations for: cloud, temperature, humidity, evaporation, pressure and wind as well as daily observations for: evaporation, precipitation and temperature. The newly digitised Sub-Saharan African data will increase the temporal and spatial coverage of data in this important data-sparse region where climate change impact studies are crucial., Students gained new skills and a deep appreciation of historical climatology while helping the global scientific community unearth new insights into past sub-Saharan African climate. The Climate Data Rescue Africa project (CliDaR-Africa project) model has the potential for a broader roll-out to other educational contexts and there is certainly no shortage of data to be rescued with millions of images remaining untouched. Therefore, this paper provides details of the project, and all supporting information such as project guidelines and templates to enable other organisations to instigate similar programs in future.
    Keywords: Climate data; meteorological observations; Sub-Saharan Africa
    Type: Dataset
    Format: application/zip, 28 datasets
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