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  • 1
    Online Resource
    Online Resource
    Wiley ; 2018
    In:  Atmospheric Science Letters Vol. 19, No. 6 ( 2018-06)
    In: Atmospheric Science Letters, Wiley, Vol. 19, No. 6 ( 2018-06)
    Abstract: This study was conducted to assess the impact on NWP and to provide guidance on drifting buoy observation density, with particular attention to the North Atlantic. The impact of halving the buoy density was studied using observing system experiments; as expected half the density has more than half the impact, but there is still scope for improvement with a higher density of observations. For drifting buoy pressure data, both large observation‐minus‐background differences and large forecast sensitivity tend to be in synoptically active, cyclogenesis regions. It is noted that almost half of drifting buoys do not have a pressure sensor—this is regrettable given the importance of pressure data in remote oceanic areas.
    Type of Medium: Online Resource
    ISSN: 1530-261X , 1530-261X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2025884-7
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  • 2
    In: Geoscientific Instrumentation, Methods and Data Systems, Copernicus GmbH, Vol. 6, No. 2 ( 2017-11-06), p. 453-472
    Abstract: Abstract. There are numerous networks and initiatives concerned with the non-satellite-observing segment of Earth observation. These are owned and operated by various entities and organisations often with different practices, norms, data policies, etc. The Horizon 2020 project GAIA–CLIM is working to improve our collective ability to use an appropriate subset of these observations to rigorously characterise satellite observations. The first fundamental question is which observations from the mosaic of non-satellite observational capabilities are appropriate for such an application. This requires an assessment of the relevant, quantifiable aspects of the measurement series which are available. While fundamentally poor or incorrect measurements can be relatively easily identified, it is metrologically impossible to be sure that a measurement series is correct. Certain assessable aspects of the measurement series can, however, build confidence in their scientific maturity and appropriateness for given applications. These are aspects such as that it is well documented, well understood, representative, updated, publicly available and maintains rich metadata. Entities such as the Global Climate Observing System have suggested a hierarchy of networks whereby different subsets of the observational capabilities are assigned to different layers based on such assessable aspects. Herein, we make a first attempt to formalise both such a system-of-systems networks concept and a means by which to, as objectively as possible, assess where in this framework different networks may reside. In this study, we concentrate on networks measuring primarily a subset of the atmospheric Essential Climate Variables of interest to GAIA–CLIM activities. We show assessment results from our application of the guidance and how we plan to use this in downstream example applications of the GAIA–CLIM project. However, the approach laid out should be more widely applicable across a broad range of application areas. If broadly adopted, the system-of-systems approach will have potential benefits in guiding users to the most appropriate set of observations for their needs and in highlighting to network owners and operators areas for potential improvement.
    Type of Medium: Online Resource
    ISSN: 2193-0864
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2017
    detail.hit.zdb_id: 2690575-9
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  • 3
    Online Resource
    Online Resource
    American Meteorological Society ; 2001
    In:  Journal of Atmospheric and Oceanic Technology Vol. 18, No. 6 ( 2001-06), p. 1102-1108
    In: Journal of Atmospheric and Oceanic Technology, American Meteorological Society, Vol. 18, No. 6 ( 2001-06), p. 1102-1108
    Type of Medium: Online Resource
    ISSN: 0739-0572 , 1520-0426
    Language: English
    Publisher: American Meteorological Society
    Publication Date: 2001
    detail.hit.zdb_id: 2021720-1
    detail.hit.zdb_id: 48441-6
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  • 4
    Online Resource
    Online Resource
    Elsevier BV ; 2007
    In:  Journal of Marine Systems Vol. 65, No. 1-4 ( 2007-3), p. 158-175
    In: Journal of Marine Systems, Elsevier BV, Vol. 65, No. 1-4 ( 2007-3), p. 158-175
    Type of Medium: Online Resource
    ISSN: 0924-7963
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2007
    detail.hit.zdb_id: 1483106-5
    detail.hit.zdb_id: 1041191-4
    SSG: 14
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  • 5
    In: Diabetologia, Springer Science and Business Media LLC, Vol. 42, No. S1 ( 1999-8), p. A1-A330
    Type of Medium: Online Resource
    ISSN: 0012-186X , 1432-0428
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 1999
    detail.hit.zdb_id: 1458993-X
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  • 6
    Online Resource
    Online Resource
    Wiley ; 2015
    In:  Atmospheric Science Letters Vol. 16, No. 1 ( 2015-01), p. 44-49
    In: Atmospheric Science Letters, Wiley, Vol. 16, No. 1 ( 2015-01), p. 44-49
    Abstract: In the biggest change to radiosonde reporting for many years binary BUFR reports are replacing alphanumeric TEMP code. The binary reports can provide much higher vertical resolution and the time and position of each level, but changes to observation processing at forecast centres are needed to use the new reports and in particular the level dependent positions. Using data vertically averaged over model layers, observation minus background (O − B) statistics from both formats compare closely (with a temperature offset of about 0.1°C due to rounding in the older format). Correct treatment of balloon drift improves the O − B statistics at upper‐levels.
    Type of Medium: Online Resource
    ISSN: 1530-261X , 1530-261X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2015
    detail.hit.zdb_id: 2025884-7
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  • 7
    Online Resource
    Online Resource
    Copernicus GmbH ; 2022
    In:  Atmospheric Measurement Techniques Vol. 15, No. 1 ( 2022-01-11), p. 165-183
    In: Atmospheric Measurement Techniques, Copernicus GmbH, Vol. 15, No. 1 ( 2022-01-11), p. 165-183
    Abstract: Abstract. Radiosonde descent profiles have been available from tens of stations for several years now – mainly from Vaisala RS41 radiosondes. They have been compared with the ascent profiles, with ECMWF short-range forecasts and with co-located radio occultation retrievals. Over this time, our understanding of the data has grown, and the comparison has also shed some light on radiosonde ascent data. The fall rate is very variable and is an important factor, with high fall rates being associated with temperature biases, especially at higher altitudes. Ascent winds are affected by pendulum motion; on average, descent winds are less affected by pendulum motion and are smoother. It is plausible that the true wind variability in the vertical lies between that shown by ascent and descent profiles. This discrepancy indicates the need for reference wind measurements. With current processing, the best results are for radiosondes with parachutes and pressure sensors. Some of the wind, temperature and humidity data are now assimilated in the ECMWF forecast system.
    Type of Medium: Online Resource
    ISSN: 1867-8548
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2022
    detail.hit.zdb_id: 2505596-3
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  • 8
    In: Geoscientific Instrumentation, Methods and Data Systems, Copernicus GmbH, Vol. 9, No. 2 ( 2020-08-18), p. 337-355
    Abstract: Abstract. This paper describes the Global Climate Observing System (GCOS) Reference Upper-Air Network (GRUAN) approach to managing the transition from the Vaisala RS92 to the Vaisala RS41 as the operational radiosonde. The goal of GRUAN is to provide long-term high-quality reference observations of upper-air essential climate variables (ECVs) such as temperature and water vapor. With GRUAN data being used for climate monitoring, it is vital that the change of measurement system does not introduce inhomogeneities to the data record. The majority of the 27 GRUAN sites were launching the RS92 as their operational radiosonde, and following the end of production of the RS92 in the last quarter of 2017, most of these sites have now switched to the RS41. Such a large-scale change in instrumentation is unprecedented in the history of GRUAN and poses a challenge for the network. Several measurement programs have been initiated to characterize differences in biases, uncertainties, and noise between the two radiosonde types. These include laboratory characterization of measurement errors, extensive twin sounding studies with RS92 and RS41 on the same balloon, and comparison with ancillary data. This integrated approach is commensurate with the GRUAN principles of traceability and deliberate redundancy. A 2-year period of regular twin soundings is recommended, and for sites that are not able to implement this, burden-sharing is employed such that measurements at a certain site are considered representative of other sites with similar climatological characteristics. All data relevant to the RS92–RS41 transition are archived in a database that will be accessible to the scientific community for external scrutiny. Furthermore, the knowledge and experience gained regarding GRUAN's RS92–RS41 transition will be extensively documented to ensure traceability of the process. This documentation will benefit other networks in managing changes in their operational radiosonde systems. Preliminary analysis of the laboratory experiments indicates that the manufacturer's calibration of the RS41 temperature and humidity sensors is more accurate than for the RS92, with uncertainties of 〈0.2 K for the temperature and 〈1.5 % RH (RH: relative humidity) for the humidity sensor. A first analysis of 224 RS92–RS41 twin soundings at Lindenberg Observatory shows nighttime temperature differences 〈0.1 K between the Vaisala-processed temperature data for the RS41 (TRS41) and the GRUAN data product for the RS92 (TRS92-GDP.2). However, daytime temperature differences in the stratosphere increase steadily with altitude, with TRS92-GDP.2 up to 0.6 K higher than TRS41 at 35 km. RHRS41 values are up to 8 % higher, which is consistent with the analysis of satellite–radiosonde collocations.
    Type of Medium: Online Resource
    ISSN: 2193-0864
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2020
    detail.hit.zdb_id: 2690575-9
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  • 9
    Online Resource
    Online Resource
    Wiley ; 2015
    In:  Quarterly Journal of the Royal Meteorological Society Vol. 141, No. 687 ( 2015-01), p. 504-517
    In: Quarterly Journal of the Royal Meteorological Society, Wiley, Vol. 141, No. 687 ( 2015-01), p. 504-517
    Abstract: Originally the only surface data assimilated in the Met Office global forecasting system were pressure and marine winds but now most temperatures, humidities and land winds are also used. Adjustments for differences between station and model height are essential for pressure and temperature; new height adjustments for humidity and wind were introduced. These changes brought the global and regional forecasting systems much closer in their use of surface data and forecast performance for surface variables. Winds from islands and headlands not resolved in the forecast model and tropical land winds are excluded. Extra reports (notably Metars) have been introduced into the system. The assimilation of land station temperature and humidity reports gave a clear improvement to short‐range forecasts of ‘screen’ temperature and humidity and small improvements to pressure forecasts. The assimilation of winds over land areas had little impact—wind speed biases, especially at night, are part of the problem. The surface pressure assimilation improves pressure and upper atmosphere forecasts but has little effect on other surface variables. The observation innovations reveal aspects of observation and model errors and other factors such as the proximity to the coast and the importance of the diurnal cycle.
    Type of Medium: Online Resource
    ISSN: 0035-9009 , 1477-870X
    URL: Issue
    RVK:
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2015
    detail.hit.zdb_id: 3142-2
    detail.hit.zdb_id: 2089168-4
    SSG: 14
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  • 10
    Online Resource
    Online Resource
    American Meteorological Society ; 2010
    In:  Journal of Atmospheric and Oceanic Technology Vol. 27, No. 9 ( 2010-09-01), p. 1476-1489
    In: Journal of Atmospheric and Oceanic Technology, American Meteorological Society, Vol. 27, No. 9 ( 2010-09-01), p. 1476-1489
    Abstract: Ship and buoy reports of wind, air pressure, temperature, humidity, and sea temperature for 2007 and 2008 have been compared with values from the operational Met Office global numerical weather prediction (NWP) system. Ship reports have been categorized by vessel type, recruiting country, and manual or automatic reporting. Most estimated ship winds (except Dutch ones) are too strong and are better treated as measured winds. After height adjustment, the average ship wind speeds are reasonably consistent with buoy wind speeds, but the global model winds are 6%–12% weaker. Extra care is needed when comparing/assimilating values close to the coast. Ship air temperatures are too warm during the afternoon due to solar heating of the ship. Adjustment of the pressure to sea level is a problem for some larger ships. Passenger ship reports are relatively poor quality for several variables and their winds are rather strong. Automated ship reports and those from research and coast guard vessels tend to be of good quality but some of the winds are slightly too weak. In most respects buoy data have the best quality. A number of improvements to the Met Office observation processing system are being made, notably tightening of the quality checks and better height adjustment of winds.
    Type of Medium: Online Resource
    ISSN: 1520-0426 , 0739-0572
    Language: English
    Publisher: American Meteorological Society
    Publication Date: 2010
    detail.hit.zdb_id: 2021720-1
    detail.hit.zdb_id: 48441-6
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