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Observability of Planetary Waves and Their Predictability in the E...

By: D. M. Sonechkin

Description: P. P. Shirshov Oceanology Institute, RAS, Moscow, Russia. The problem of a hard contradiction between limited possibilities of meteorological observations and uncontrolled complication of the present-day weather forecasting models, and its consequences for the planetary wave predictability are considered with examples from the ECMWF short- and medium-range H500 forecasts for the Northern Hemisphere. A supposition is voiced that this problem adds difficu...

Dando, M. L., Thorpe, A. J., and Eyre, J. R.: The optimal density of atmospheric sounder observations in the Met Office NWP system, Q. J. Roy. Meteor. Soc., 133, 1933–1944, 2007.; Ghil, M., Cohn, S. E., Tavantzis, J., Bube, K., and Isaacson, E.: Applications of estimation theory to numerical weather prediction, in: Dynamic meteorology: Data assimilation methods, edited by: Bengtsson, L., Ghil, M., and Kaellen, E., Springer-Verlag, New York, 139–184, 1981.; Kazandjan, G. ...

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Operational Generation of Avhrr-based Cloud Products for Europe an...

By: R. Hollmann; M. Lockhoff; P. Fuchs; K.-g. Karlsson; N. Selbach; A. Dybbroe; J. Schulz; F. Kaspar; D. Stein

Description: Satellite Application Facility on Climate Monitoring, Deutscher Wetterdienst, Offenbach, Germany. The Satelite Application Facility on Climate Monitoring has implemented a new processing environment for AVHRR-based climate monitoring products. AVHRR measurements from NOAA-17, NOAA-18 and MetOp-A are utilized to generate daily and monthly means of several cloud parameters for Europe and the Inner Arctic: Cloud fraction, cloud types, cloud phase, clo...

CM-SAF: Annual Validation Report 2009, Satellite Application Facility on Climate Monitoring, available at: www.cmsaf.eu, 2009a.; CM-SAF: Validation of CM-SAF cloud products derived from AVHRR data in the Arctic region, Satellite Application Facility on Climate Monitoring, available at: www.cmsaf.eu, 2009b.; Dybbroe, A., Karlsson, K.-G., and Thoss, A.: NWCSAF AVHRR Cloud Detection and Analysis Using Dynamic Thresholds and Radiative Transfer Modeling. Part I: Algorithm Des...

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Estimating Future Air-quality Due to Climate Change: the Athens Ca...

By: C. Giannakopoulos; M. Tombrou; K. V. Varotsos

Description: Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Greece. The aim of this study is to investigate the development of an empirical-statistical model in order to examine the potential impact of increasing future temperatures on ozone exceedance days in the Greater Athens Area. It is based on the concept that temperature is a capable predictor for the ozone concentrations and that in a future climate change w...

Beniston, M.: The 2003 heat wave in Europe: A shape of things to come? An analysis based on Swiss climatological data and model simulations, Geophys. Res. Lett., 31, L02202, doi:10.1029/2003GL018857, 2004.; Bloomer, B. J., Stehr, J. W., Piety, C. A., Salawitch, R. J., and Dickerson, R. R.: Observed relationships of ozone air pollution with temperature and emissions, Geophys. Res. Lett., 36, L09803,

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Regional Tendencies of Extreme Wind Characteristics in Hungary : V...

By: Cs. N. Péliné; J. Bartholy; K. Radics

Description: Geoinformation Service, Hungarian Defence Forces, Szilagyi E. fasor 7–9, 1024 Budapest, Hungary. Human activities have substantial effects on climate system and climate change will directly influence the global economy and society in the near future. Since change in the long-term mean climatic conditions will have significant consequences, the most important effects of climate change may come from changes in the intensity and frequency of climatic extrem...

Haimberger, L.: Homogenization of the global radiosonde dataset using ERA-40 analysis feedback information, Reviews, 7, 175–186, 2005.; Punge, H. J. and Giorgetta, M. A.: Differences between the QBO in the first and in the second half of the ERA-40 reanalysis, Atmos. Chem. Phys., 7, 599–608, 2007.; Bartholy, J., Radics, K., and Bohoczky, F.: Present state of wind energy utilisation in Hungary: policy, wind climate, and modelling studies, Renew. Sust. Energ. Rev., 7, 175–...

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Setup of Tools and Dataset Selection for Mbl Investigation Over a ...

By: G. L. Liberti; C. Transerici; A. M. Sempreviva; L. Velea

Description: ISAC-CNR, Via Fosso del Cavaliere, 100, Rome, 00133, Italy. We propose the height zi of the inversion in the vertical profile of potential temperature, on the top of a mixed layer or of a residual layer as a relevant parameter for retrieving information related to water vapour in the lower layers of the atmosphere, from currently available operational satellites information. We estimated zi using an algorithm where a s...

Hauser, D., Branger, H., Bouffies-Cloché, S., Despiau, S., Drennan, W., Dupuis, H., Durand, P., Durrieu de Madron, X., Estournel, C., Eymard, L., Flamant, C., Graber, H., Guérin, C., Kahma, K., Lachaud, G., Lefèvre, J.-M., Pelon, J., Pettersson, H., Piguet, B., Queffeulou, P., Tailliez, D., Tournadre, J., and Weill, A.: The FETCH experiment: an overview, J. Geophys. Res., 108(C3), 8053, doi:10.1029/2001JC001202, 2003.; Heffter, J. L.: Transport Layer Depth Calculations, ...

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Wrf Model and Asar-retrieved 10 M Wind Field Comparison in a Case ...

By: F. De Biasio; M. M. Miglietta; S. Zecchetto

Description: Institute of Atmospheric Sciences and Climate, Italian National Research Council (ISAC-CNR), Section of Padova, Italy. In Synthetic Aperture Radar (SAR) imagery, signatures of coherent atmospheric structures, due to sea surface roughness modulation by surface winds, are usually well detected. In the present study, the wind field derived from the Envisat Advanced SAR (ASAR) sensor has been analyzed and compared with those simulated with a regional atmosphe...

Atkinson, B. W.: Meso-scale atmospheric circulations, Academic Press Ltd., London, 1981.; Dudhia, J.: Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two-dimensional model, J. Atmos. Sci., 46, 3077–3107, 1989.; ESA: ASAR Product Handbook, European Space Agency, Paris, France, 2002.; Gibbs, J. A. and Fedorovich, E.: Sensitivity of near-surface meteorological fields in WRF to boundary/surface-layer parameterizations in conjunct...

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Influence of Meteorological Input Data on Backtrajectory Cluster A...

By: G. Ruiz; V. Galiano; J. A. G. Orza; M. Cabello

Description: SCOLAb, Física Aplicada, Universidad Miguel Hernández, Elche, Spain. Backtrajectory differences and clustering sensitivity to the meteorological input data are studied. Trajectories arriving in Southeast Spain (Elche), at 3000, 1500 and 500 m for the 7-year period 2000–2006 have been computed employing two widely used meteorological data sets: the NCEP/NCAR Reanalysis and the FNL data sets. Differences between trajectories grow linearly at least up to 4...

Brankov, E., Rao, S. T., and Porter, P. S.: A trajectory-clustering-correlation methodology for examining the long-range transport of air pollutants, Atmos Environ., 32, 1525–1534, 1998.; Cabello, M., Orza, J. A. G., and Galiano, V.: Air mass origin and its influence over the aerosol size distribution: a study in SE Spain, Adv. Sci. Res., 2, 47–52, 2008.; Dorling, S. R., Davies, T. D., and Pierce, C. E.: Cluster analysis: A technique for estimating the synoptic meteorolo...

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An Overview of a Regional Meteorology Warning System : Volume 8, I...

By: P. Anitua; R. Hernandez; K. Otxoa-de-alda; J. Egaña; J. Aranda; S. Gaztelumendi

Description: Basque Meteorology Agency (Euskalmet), Vitoria-Gasteiz, Spain. In this work we present a regional meteorology warning system, particularly the operational weather warning system used by the Basque Meteorology Agency (Euskalmet) for Basque Country. System considers different meteorological phenomena capable of generate warnings, and is based on combined thresholds criteria depending on particular weather event and area of territory where is applied. In t...

Aranda, J. A. and Morais, A.: The new weather radar of Euskalmet. Site selection, construction and installation, Proceedings 4th ERAD Conference, 356–359, 2006.; Arasti Barca, E.: Estudio de la galerna típica del Cantábrico, INM, ISBN: 84-8320-175-5, 2001.; Basher, R.: Global early warning systems for natural hazards: systematic and people-centred, Phil. Trans. R. Soc. A, 364, 2167–2182, 2006.; DFG (Diputacion Foral de Gipuzkoa): Caracterización de las situaciones hidrol...

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The Archive and Library of the Former Italian Central Office for M...

By: L. Iafrate; S. Esposito; M. C. Beltrano

Description: Unità di Ricerca per la Climatologia e la Meteorologia applicate all'Agricoltura, Consiglio per la Ricerca e la Sperimentazione in Agricoltura, Roma, Italy. The Paper Archive and Library of CRA-CMA (Agricultural Research Council – Research Unit for Climatology and Meteorology applied to Agriculture) are an important source of meteorological data for climate research.

CRA-CMA's Paper Archive gathers a collection of about 850 historical meteorolo...

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Preliminary Step Towards Comparing Large Scale Features in Surface...

By: T. Ranchin; A. Ghennioui; A. Boilley

Description: MINES ParisTech, O.I.E. – Centre Observation, Impacts, Energie, CS 10207 rue Claude Daunesse, 06904 Sophia Antipolis Cedex, France. The weather research and forecasting model (WRF) is initialized with ERA-Interim re-analysis to produce a higher resolution dataset over a one month period. WRF is supposed to introduce small scale information and maintain the mean large scale features. A detailed spectral analysis is performed to verify this statement. It r...

Blackman, R. B. and Tukey, J. W.: The measurement of power spectra, from the point of view of communications engineering, Dover Publications, 1958.; Castro, C., Pielke, R., and Leoncini, G.: Dynamical downscaling: Assessment of value retained and added using the regional atmospheric modeling system (RAMS) RID A-5015-2009, J. Geophys. Res.-Atmos., 110, D05108, doi:10.1029/2004JD004721, 2005.; Chen, F., Mitchell, K., Schaa...

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Efficient High-resolution 3-d Interpolation of Meteorological Vari...

By: M. R. Salvati; U. Pellegrini; F. Uboldi; C. Lussana

Description: ARPA Lombardia, Milano, Italy. In recent years, the use of mesoscale meteorological network data has been growing. An Optimal Interpolation (OI) method is used to interpolate on a regular grid the hourly averaged values of temperature, relative humidity, wind vector, atmospheric pressure, and hourly cumulated precipitation. For all variables, except precipitation, the background (i.e. first guess) information is obtained by detrending the observations ...

Daley, R.: Atmospheric Data Analysis, Cambridge University Press, 1991.; Eumetsat: Strong North Foehn over the Alps (21 January 2005), http://oiswww.eumetsat.org/WEBOPS/iotm/iotm/20050121_foehn/20050121_foehn.html, 2008.; Gandin, L S.: Objective Analysis of Meteorological Fields, Gidromet, Leningrad. English translation by Israeli Program for Scientific Translations, Jerusalem, 1963.; Joss, J., Schadler, B., Galli, G., Cavalli, R., Boscacci, M., Held, E., Bruna, G D., Ka...

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Comparing Different Meteorological Ensemble Approaches: Hydrologic...

By: A. Morgillo; T. Diomede; M. M. Miglietta; C. Marsigli; A. Montani; S. Davolio

Description: Institute of Atmospheric Sciences and Climate, National Research Council, Bologna, Italy. Within the framework of coupled meteorological-hydrological predictions, this study aims at comparing two high-resolution meteorological ensembles, covering short and medium range. The two modelling systems have similar characteristics, as almost the same number of members, the model resolution (about 7 km), the driving ECMWF global ensemble prediction system, but a...

Malguzzi, P., Grossi, G., Buzzi, A., Ranzi, R., and Buizza, R.: The 1966 century flood in Italy: A meteorological and hydrological revisitation, J. Geophys. Res., 111, D24106, doi:10.1029/2006JD007111, 2006.; Montani, A., Cesari, D., Marsigli, C., and Paccagnella, T.: Seven years of activity in the field of mesoscale ensemble forecasting by the COSMO-LEPS system: main achievements and open challenges, Tellus A, 63, 605–6...

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Matisse: an Arcgis Tool for Monitoring and Nowcasting Meteorologic...

By: P. Mercogliano; A. L. Zollo; V. Rillo

Description: Regional Models and geo-Hydrological Impacts Division, CMCC – EuroMediterranean Centre on Climate Change, Capua (CE), Italy. Adverse meteorological conditions are one of the major causes of accidents in aviation, resulting in substantial human and economic losses. For this reason it is crucial to monitor and early forecast high impact weather events. In this context, CIRA (Italian Aerospace Research Center) has implemented MATISSE (Meteorological AviaTIo...

Austin, G. and Bellon, A.: The use of digital weather radar records for short-term precipitation forecasting, Q. J. Roy. Meteorol. Soc., 100, 658–664, 1974.; Doms, G. and Schättler, U.: A description of the nonhydrostatic regional model LM, Deutscher Wetterdienst, Offenbach, Germany, 2002.; Barrere Jr., C. A., Eilts, M., Johnson, J., Fritchie, R., Spencer, P., Shaw, B., Li, Y., Ladwig, W., Schudalla, R., and Mitchell, D.: An Aviation Weather Decision Support System (AWDS...

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Study of the Mlb Parameterisation for Change in Surface Solar Irra...

By: Z. Qu; A. Oumbe; L. Wald; M. Lefèvre; P. Blanc

Description: Centre for Energy and Processes, MINES ParisTech, BP207, 06904, Sophia Antipolis, France. The MLB parameterisation (Modified Lambert-Beer, Mueller et al., 2004) describes the change in SSI with sun zenith angle (SZA) in clear-sky conditions. It applies to the direct and global SSI as well as their spectral distribution. We assess its performances by comparing its results to the outputs of the radiative transfer model libRadtran and standard interpolatio...

Kato, S., Ackerman, T., Mather, J., and Clothiaux, E.: The k-distribution method and correlated-k approximation for shortwave radiative transfer model, J. Quant. Spectrosc. Ra., 62, 109–121, 1999.; Liou, K. N.: An Introduction to Atmospheric Radiation, Academic Press, p. 182, 1980.; Mayer, B., Kylling, A., Emde, C., Buras, R., and Hamann, U.: libRadtran: library for radiative transfer calculations, Edition 1.0 for libRadtran version 1.5-beta,

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The Seasonal Characteristics of the Breeze Circulation at a Coasta...

By: L. Pasqualoni; A. M. Sempreviva; L. De Leo; C. R. Calidonna; S. Federico; C. Bellecci; E. Avolio

Description: Institute of Atmospheric Sciences and Climate, Italian National Research Council (ISAC-CNR), Section of Lamezia Terme, Italy. We present a study on the characteristics of the sea breeze flow at a coastal site located in the centre of the Mediterranean basin at the southern tip of Italy. This study is finalized to add new data on breeze circulations over a narrow peninsula and present a unique experimental coastal site at about 600 m from the coastline in...

Abe, S. and Yoshida, T.: The effect of the width of a peninsula to the sea breeze, J. Meteorol. Soc. Jpn., 60, 1074–1084, 1982.; Bolle, H. J.: Mediterranean climate – variability and trends, Springer-Verlag, Berlin, 2003.; Caccia, J.-L., Guénard, V., Benech, B., Campistron, B., and Drobinski, P.: Vertical velocity and turbulence aspects during Mistral events as observed by UHF wind profilers, Ann. Geophys., 22, 3927–3936, 2004.; Conte, M., Giuffrida, A., and Tedesco, S.:...

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Comparison of the Economic Impact of Different Wind Power Forecast...

By: L. Delle Monache; S. Sperati; M. Benini; F. Davò; S. Alessandrini

Description: RSE, Ricerca Sistema Energetico, Milano, Italy. Deterministic forecasts of wind production for the next 72 h at a single wind farm or at the regional level are among the main end-users requirement. However, for an optimal management of wind power production and distribution it is important to provide, together with a deterministic prediction, a probabilistic one. A deterministic forecast consists of a single value for each time in the future for the var...

Alessandrini, S., Sperati, S., Pinson, and P. A: comparison between the ECMWF and COSMO Ensemble Prediction Systems applied to short-term wind power forecasting on real data, Appl. Energ., 107, 271–280, 2013.; Bremnes, J. B.: Probabilistic wind power forecasts using local quantile regression, Wind Energy, 7, 47–54, 2004.; Delle Monache, L., Nipen, T., Liu, Y., Roux, G., and Stull, R.: Kalman filter and analog schemes to post-process numerical weather predictions, Mon. We...

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User Awareness Concerning Feedback Data and Input Observations Use...

By: K. Jylhä; H. M. Mäkelä; P. Poli; A. Obregon; A. K. Kaiser-weiss; D. G. H. Tan; H. Gregow; F. Kaspar; S. Kekki

Description: Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland. A web-based survey to assess the benefits and gaps in reanalyses as part of growing climate services was carried out in 2013–2014. The survey elicited responses from about 2500 users of climate information. One of the eleven survey points specifically addressed the observations used in reanalysis, with a multiple-choice question Have you used reanalysis input observations and feedb...

Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Matsui, N., Allan, R. J., Yin, X., Gleason, B. E., Vose, R. S., Rutledge, G., Bessemoulin, P., Brönnimann, S., Brunet, M., Crouthamel, R. I., Grant, A. N., Groisman, P. Y., Jones, P. D., Kruk, M. C., Kruger, A. C., Marshall, G. J., Maugeri, M., Mok, H. Y., Nordli, Ø., Ross, T. F., Trigo, R. M., Wang, X. L., Woodruff, S. D., and Worley, S. J.: The Twentieth Century Reanalysis Project, Q. J. Roy. Meteor. Soc., 137, 1–28, <...

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Atmospheric Station Křešín U Pacova, Czech Republic – a Central Eu...

By: P. Sedlák; P. Vodička; J. Trusina; A. Dvorská; M. Fusek; V. Hanuš; J. Schwarz

Description: Global Change Research Centre, Czech Academy of Sciences, Brno, Czech Republic. Long-lasting research infrastructures covering the research areas of atmospheric chemistry, meteorology and climatology are of highest importance. The Atmospheric Station (AS) Křešín u Pacova, central Czech Republic, is focused on monitoring of the occurence and long-range transport of greenhouse gases, atmospheric aerosols, selected gaseous atmospheric pollutants and basic ...

Bakwin, P. S., Tans, P. P., Hurst, D. F., and Zhao, C. L.: Measurements of carbon dioxide on very tall towers: results of the NOAA/CMDL program, Tellus , 50, 401–415, 1998.; Cavalli, F., Viana, M., Yttri, K. E., Genberg, J., and Putaud, J.-P.: Toward a standardised thermal-optical protocol for measuring atmospheric organic and elemental carbon: the EUSAAR protocol, Atmos. Meas. Tech., 3, 79–89, doi:10.5194/amt-3-79-2010...

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A Non-linear Mixed Spectral Finite-difference 3-d Model for Planet...

By: P. A. Taylor; W. Weng

Description: Department of Earth and Space Science and Engineering, York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada. The Non-Linear Mixed Spectral Finite-Difference (NLMSFD) model for surface boundary-layer flow over complex terrain has been extended to planetary boundary-layer flow over topography. Comparisons are made between this new version and the surface layer model. The model is also applied to simulate an Askervein experimental case. The...

Ayotte, K. W. and Taylor, P. A.: A mixed spectral finite-difference 3D model of neutral planetary boundary-layer flow over topography, J. Atmos. Sci., 50, 3523–3537, 1995.; Ayotte, K. W., Xu, D. ,and Taylor, P. A.: The impact of turbulence clousre schemes on predictions of the mixed spectral finite-difference model of flow over topography, Bound.-Lay. Meteorol., 68, 1–33, 1994.; Beljaars, A. C. M., Walmsley, J. L., and Taylor, P. A.: A mixed spectral finite-difference mo...

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Statistical Processing of Forecasts for Hydrological Ensemble Pred...

By: T. Mathevet; M.-h. Ramos; R. Garçon; J. Gailhard; I. Zalachori

Description: IRSTEA, Hydrology Group, UR HBAN, 1 rue Pierre-Gilles de Gennes CS 10030, 92761 Antony, France. The aim of this paper is to investigate the use of statistical correction techniques in hydrological ensemble prediction. Ensemble weather forecasts (precipitation and temperature) are used as forcing variables to a hydrologic forecasting model for the production of ensemble streamflow forecasts. The impact of different bias correction strategies on the qualit...

Bartholmes, J. C., Thielen, J., Ramos, M. H., and Gentilini, S.: The european flood alert system EFAS – Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts, Hydrol. Earth Syst. Sci., 13, 141–153, doi:10.5194/hess-13-141-2009, 2009.; Boucher M.-A., Tremblay, D., Delorme, L., Perreault, L., and Anctil, F.: Hydro-economic assessment of hydrological forecasting systems, J. Hydrol...

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