Search Results - "Arbogast, P."

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  1. 1

    A benchmark of statistical regression methods for short-term forecasting of photovoltaic electricity production, part I: Deterministic forecast of hourly production by Zamo, M., Mestre, O., Arbogast, P., Pannekoucke, O.

    Published in Solar energy (01-07-2014)
    “…•We benchmark forecasting methods for hourly PV electricity production.•Forecasts are built with statistical methods without technical information about panels…”
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    Journal Article
  2. 2

    A benchmark of statistical regression methods for short-term forecasting of photovoltaic electricity production. Part II: Probabilistic forecast of daily production by Zamo, M., Mestre, O., Arbogast, P., Pannekoucke, O.

    Published in Solar energy (01-07-2014)
    “…•We benchmark eight forecasting methods for daily PV electricity production.•Forecasts are built with statistical methods only.•Predictors from an ensemble…”
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    Journal Article
  3. 3

    PEARP, the Météo‐France short‐range ensemble prediction system by Descamps, L., Labadie, C., Joly, A., Bazile, E., Arbogast, P., Cébron, P.

    “…Météo‐France has implemented a short‐range ensemble prediction system known as Prévision d'Ensemble ARPEGE (PEARP). This system is a global ensemble performing…”
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  4. 4

    A statistical downscaling to identify the large‐scale circulation patterns associated with heavy precipitation events over southern France by Nuissier, O., Joly, B., Joly, A., Ducrocq, V., Arbogast, P.

    “…This study assesses the potential for a detection algorithm to identify discriminating analysis‐based statistical predictors of a few relevant parameters that…”
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  5. 5

    Cold‐conveyor‐belt jet, sting jet and slantwise circulations in idealized simulations of extratropical cyclones by Coronel, B., Ricard, D., Rivière, G., Arbogast, P.

    “…The present study investigates the formation of sting‐jet cyclones using an idealized configuration of a high‐resolution mesoscale numerical model. The initial…”
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  6. 6

    Land surface initialization strategy for a global reforecast dataset by Boisserie, M., Decharme, B., Descamps, L., Arbogast, P.

    “…A 32‐year global ensemble reforecast dataset has recently been developed at Météo‐France that is approximatively consistent with the operational global…”
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  7. 7

    MEDEX: a general overview by Jansa, A, Alpert, P, Arbogast, P, Buzzi, A, Ivancan-Picek, B, Kotroni, V, Llasat, M. C, Ramis, C, Richard, E, Romero, R, Speranza, A

    Published in Natural hazards and earth system sciences (05-08-2014)
    “…The general objective of the international MEDiterranean EXperiment (MEDEX) was the better understanding and forecasting of cyclones that produce high impact…”
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  8. 8

    Eddy kinetic energy redistribution within windstorms Klaus and Friedhelm by Rivière, G., Arbogast, P., Joly, A.

    “…The formation of lower‐tropospheric wind speed maxima is analyzed during the mature stage of two distinct windstorms using ERA‐Interim reanalysis datasets and…”
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  9. 9

    Eddy kinetic energy redistribution within idealized extratropical cyclones using a two‐layer quasi‐geostrophic model by Rivière, G., Arbogast, P., Joly, A.

    “…Eddy kinetic energy (EKE) redistribution within midlatitude cyclones is investigated using a two‐layer quasi‐geostrophic model. The flow is composed of…”
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  10. 10

    National analysis of in-hospital resource utilization in choledocholithiasis management using propensity scores by POULOSE, B. K, ARBOGAST, P. G, HOLZMAN, M. D

    Published in Surgical endoscopy (01-02-2006)
    “…Two treatment options exist for choledocholithiasis (CDL): endoscopic retrograde cholangiopancreatography (ERCP) and common bile duct exploration (CBDE)…”
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  11. 11

    A potential vorticity perspective on the motion of a mid-latitude winter storm by Rivière, G., Arbogast, P., Lapeyre, G., Maynard, K.

    Published in Geophysical research letters (28-06-2012)
    “…The motion of mid‐latitude surface cyclones relative to the jet streams is of particular interest because of the commonly observed strong and rapid deepening…”
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  12. 12

    Estimating and diagnosing model error variances in the Météo‐France global NWP model by Boisserie, M., Arbogast, P., Descamps, L., Pannekoucke, O., Raynaud, L.

    “…A methodology for estimating model error statistics is proposed. Its application to the global operational model ARPEGE of Météo‐France provides valuable…”
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  13. 13

    Calibrating short‐range ensemble forecasts using estimated model error variances by Boisserie, M., Descamps, L., Arbogast, P.

    “…This study investigates the impact of a calibration technique using estimated global model error variances on the performance of short‐range ensemble…”
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  15. 15

    Work disability in early rheumatoid arthritis: higher rates but better clinical status in Finland compared with the US by Chung, C P, Sokka, T, Arbogast, P G, Pincus, T

    Published in Annals of the rheumatic diseases (01-12-2006)
    “…Objective: To analyse and compare work disability attributed to rheumatoid arthritis in two cohorts of patients with early disease: one in the US and the other…”
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  16. 16

    The essential ingredients leading to the explosive growth stage of the European wind storm Lothar of Christmas 1999 by Rivière, G., Arbogast, P., Maynard, K., Joly, A.

    “…Key dynamical ingredients leading to the explosive growth stage of the extratropical wind storm Lothar (24–26 December 1999) are identified by performing…”
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  17. 17

    Assessing the influence of the model trajectory in the adaptive observation Kalman Filter Sensitivity method by Oger, N., Pannekoucke, O., Doerenbecher, A., Arbogast, P.

    “…The purpose of adaptive observation strategies is to design optimal observation networks in a prognostic way. The implementation of such strategies is based on…”
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  19. 19

    An umbilical nodule with cyclical changes by Möhrenschlager, Matthias, Arbogast, Helmut P, Henkel, Verena

    Published in BMJ (22-09-2011)
    “…Fig 1 Abdominal region with umbilical haematoma during menses Endometriosis is defined as the presence of endometrial tissue outside the uterine cavity…”
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  20. 20

    A new approach to sensitivity climatologies: the DTS-MEDEX-2009 campaign by Jansa, A, Arbogast, P, Doerenbecher, A, Garcies, L, Genoves, A, Homar, V, Klink, S, Richardson, D, Sahin, C

    Published in Natural hazards and earth system sciences (01-09-2011)
    “…Adaptive observation is an approach to improving the quality of numerical weather forecasts through the optimization of observing networks. It is sometimes…”
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