29 research outputs found
Ensemble model output statistics for wind vectors
A bivariate ensemble model output statistics (EMOS) technique for the
postprocessing of ensemble forecasts of two-dimensional wind vectors is
proposed, where the postprocessed probabilistic forecast takes the form of a
bivariate normal probability density function. The postprocessed means and
variances of the wind vector components are linearly bias-corrected versions of
the ensemble means and ensemble variances, respectively, and the conditional
correlation between the wind components is represented by a trigonometric
function of the ensemble mean wind direction. In a case study on 48-hour
forecasts of wind vectors over the North American Pacific Northwest with the
University of Washington Mesoscale Ensemble, the bivariate EMOS density
forecasts were calibrated and sharp, and showed considerable improvement over
the raw ensemble and reference forecasts, including ensemble copula coupling
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Speciation and elemental analysis employing a custom designed echelle spectrometer and a charge injection device array detector.
A custom designed echelle spectrometer coupled with a charge injection device (CID) detector was applied to a series of analytical challenges in atomic emission spectroscopy (AES). By taking advantage of the two dimensional spectral format of an echelle/CID spectrometer, simultaneous, multi-elemental atomic spectroscopic information can be directly obtained. A direct current plasma (DCP) was utilized as the AES excitation source. The echelle/CID system has a large spectral elemental database. Through the utilization of vast amounts of spectral information and the application of fundamental spectroscopic principles, an intelligent analytical system was designed to make certain routine and non-routine decisions with minimal intervention by the analyst. The utility of the echelle/CID system is investigated through its application to several analytical challenges. These challenges include automated-qualitative analysis, quantitative analysis for samples of limited size (microgram quantities) and qualitative and quantitative chromatographic analysis of various metal species. The results of an analyses generated by an automated-qualitative routine for the determination of elemental constituents in environmental contaminants, unknown particulate from a hospital air delivery system and laboratory waste samples are presented. The ability to simultaneously integrate multi-elemental information makes the echelle/CID system well suited for the quantitative analysis of trace sample quantities. The echelle/CID system was employed in the trace determination of 1000, 400 and 40 micrograms/ml NBS standard reference material 1633a, coal fly ash, samples. Finally, the echelle/CID AES system is utilized as an element selective detector for high performance liquid chromatography (HPLC). HPLC separation methods were developed for the quantitative analysis of iron and copper oxidation states. The results of the HPLC separation of iron(II) and iron(III) through their interactions with the mobile phase modifier, 8-hydroxyquinoline are presented. The results of the HPLC separation of copper(I) and copper(II) are in an mobile phase containing 2,9 dimethyl 1,10 phenanthroline are presented. A novel solid phase extraction (SPE) method for Cu(I) was also developed. The results of the SPE method used to monitor the Cu(I) concentration in a series of electroless copper plating baths are presented
ΠΡΠ²Π΅ΡΠ΅Π½ΠΈΠ΅ ΠΏΠ°ΡΠ»Π°ΠΌΠ΅Π½ΡΡΠΊΠΎΠΉ ΠΊΠ°ΠΌΠΏΠ°Π½ΠΈΠΈ 2007 Π³ΠΎΠ΄Π° Π² ΠΠΎΠ»ΡΡΠ΅ Π² ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ°Ρ ΡΠ΅Π»Π΅Π²ΠΈΠ·ΠΈΠΎΠ½Π½ΡΡ Π½ΠΎΠ²ΠΎΡΡΠ΅ΠΉ
Π ΠΎΠ»Ρ ΡΠ΅Π»Π΅Π²ΠΈΠ΄Π΅Π½ΠΈΡ ΠΠΎΠ»ΡΡΠΈ Π² ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠ²Π΅ΡΡΠΊΠΈ Π΄Π½Ρ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΏΡΠ΅Π΄Π²ΡΠ±ΠΎΡΠ½ΠΎΠΉ ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠΈ
Presentation of the 2007 parliamentary campaign in Poland in television news
Π‘ΠΏΠΎΡΠΎΠ±Ρ, ΠΊΠΎΡΠΎΡΡΠΌΠΈ ΡΠ΅Π»Π΅Π²ΠΈΠ·ΠΈΠΎΠ½Π½ΡΠ΅ ΠΎΡΠΏΡΠ°Π²ΠΈΡΠ΅Π»ΠΈ Π² ΠΠΎΠ»ΡΡΠ΅ ΡΠΎΠΎΠ±ΡΠ°ΡΡ ΠΏΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΡΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ, ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎ ΠΊΠ°ΡΠ°ΡΡΠΈΠ΅ΡΡ Ρ
ΠΎΠ΄Π° ΠΏΡΠ΅Π΄Π²ΡΠ±ΠΎΡΠ½ΠΎΠΉ ΠΊΠ°ΠΌΠΏΠ°Π½ΠΈΠΈ, Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΈΠ·ΠΌΠ΅Π½ΡΡΡΡΡ. ΠΡ Π½Π°Π±Π»ΡΠ΄Π°Π΅ΠΌ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ ΠΌΠΎΠ΄ΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΏΡΠ΅Π΄Π²ΡΠ±ΠΎΡΠ½ΡΡ
ΠΊΠ°ΠΌΠΏΠ°Π½ΠΈΠΉ - Π‘ΠΠ Π²ΡΠ΅ ΡΠ°ΡΠ΅ ΠΎΡΡ
ΠΎΠ΄ΡΡ ΠΎΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡΠΎΡΡΠΎΠ³ΠΎ ΡΡΠ°Π½ΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Ρ
ΠΎΠ΄Π° ΠΊΠ°ΠΌΠΏΠ°Π½ΠΈΠΉΠ½ΡΡ
ΡΠΎΠ±ΡΡΠΈΠΉ, ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°ΡΡΠ΅ΠΉΡΡ Π½Π° ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π°Ρ
, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΠΎΡ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΎΠ² ΠΈΠ»ΠΈ ΠΏΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΉ, Π² ΠΏΠΎΠ»ΡΠ·Ρ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎ-Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ, Π³Π΄Π΅ Π΄ΠΎΠΌΠΈΠ½ΠΈΡΡΡΡ ΡΠ°ΠΌΠΎΡΡΠΎΡΡΠ΅Π»ΡΠ½ΠΎ ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ΅Π½Π½ΡΠ΅ ΠΈΡΡ
ΠΎΠ΄Π½ΡΠ΅ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΡΠ΅Π΄Π°ΠΊΡΠΈΠΎΠ½Π½ΡΠ΅ ΠΊΠΎΠΌΠΌΠ΅Π½ΡΠ°ΡΠΈΠΈ, ΡΠ²ΠΎΠ΅ΠΎΠ±ΡΠ°Π·Π½ΠΎ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ°ΡΡΠΈΠ΅ ΡΠΎΠΏΠ΅ΡΠ½ΠΈΡΠ΅ΡΡΠ²ΠΎ.The manner in which broadcasters provide political information, especially concerning the campaign is in the process of a visible change now. We are able to observe a significant modification of the model creation of the election campaign - mass media are increasingly changing their simple model of a campaign coverage of the events, based on information obtained from politicians or political organizations, into interpretative and analytical model with the dominant role of self-organized source of the queries and editorial comments, formatting an image of a political rivalry in a certain way
Correlation analysis of mean global radiation values with mean brightness values for one year
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