The Helsinki Testbed: A Mesoscale Measurement, Research, and Service Platform

Abstract The Finnish Meteorological Institute and Vaisala have established a mesoscale weather observational network in southern Finland. The Helsinki Testbed is an open research and quasi-operational program designed to provide new information on observing systems and strategies, mesoscale weather phenomena, urban and regional modeling, and end-user applications in a high-latitude (~60°N) coastal environment. The Helsinki Testbed and related programs feature several components: observing system design and implementation, small-scale data assimilation, nowcasting and short-range numerical weather prediction, public service, and commercial development of applications. Specifically, the observing instrumentation focuses on meteorological observations of meso-gamma-scale phenomena that are often too small to be detected adequately by traditional observing networks. In particular, more than 40 telecommunication masts (40 that are 120 m high and one that is 300 m high) are instrumented at multiple heights. Oth...

[1]  George C. Holzworth,et al.  Mixing Depths, Wind Speeds and Air Pollution Potential for Selected Locations in the United States , 1967 .

[2]  Harri Hohti,et al.  A Climatological Comparison of Radar and Ground Observations of Hail in Finland , 2010 .

[3]  Barry E. Schwartz,et al.  An Hourly Assimilation–Forecast Cycle: The RUC , 2004 .

[4]  Antti Mäkelä,et al.  Thunderstorm Climate of Finland 19982007 , 2008 .

[5]  George Frederick,et al.  Community Response to the NRC Report "Observing Weather and Climate FROM THE GROUND UP A Nationwide Network of Networks" , 2010 .

[6]  Christoph Münkel.  Mixing height determination with lidar ceilometers results from Helsinki Testbed , 2007 .

[7]  G. Grell,et al.  Mesoscale Weather Prediction with the RUC Hybrid Isentropic–Terrain-Following Coordinate Model , 2004 .

[8]  John S. Snook,et al.  LAPS/RAMS. A nonhydrostatic mesoscale numerical modeling system configured for operational use , 1995 .

[9]  George C. Holzworth,et al.  ESTIMATES OF MEAN MAXIMUM MIXING DEPTHS IN THE CONTIGUOUS UNITED STATES , 1964 .

[10]  Pasi Aalto,et al.  The urban measurement station SMEAR III: Continuous monitoring of air pollution and surface-atmosphere interactions in Helsinki, Finland , 2009 .

[11]  Matthias Roth,et al.  Temporal dynamics of CO2 fluxes and profiles over a Central European city , 2006 .

[12]  Jenni Teittinen.  A climatology of tornadoes in Finland , 2006 .

[13]  F. Joseph Turk,et al.  Measuring Precipitation from Space: EURAINSAT and the Future , 2007 .

[14]  V. Chandrasekar,et al.  Classification of Hydrometeors Based on Polarimetric Radar Measurements: Development of Fuzzy Logic and Neuro-Fuzzy Systems, and In Situ Verification , 2000 .

[15]  V. Chandrasekar,et al.  Analysis of the Copolar Correlation Coefficient between Horizontal and Vertical Polarizations , 1994 .

[16]  Raymond M. Hoff,et al.  The Detection of Mixed Layer Depth and Entrainment Zone Thickness from Lidar Backscatter Profiles , 1999 .

[17]  Steven E. Koch,et al.  MULTIFUNCTIONAL MESOSCALE OBSERVING NETWORKS , 2005 .

[18]  M. Heikinheimo,et al.  Variability Of The Stable And Unstable Atmospheric Boundary-Layer Height And Its Scales Over A Boreal Forest , 2001 .

[19]  Raine Hautala,et al.  Benefits and value of meteorological information services—the case of the Finnish Meteorological Institute , 2009 .

[20]  Eero Nikinmaa,et al.  Surface–atmosphere interactions over complex urban terrain in Helsinki, Finland , 2008 .

[21]  Pekka Leviäkangas,et al.  Valuing meteorological information , 2009 .

[22]  Ari Karppinen,et al.  Mixing height determination by ceilometer , 2005 .

[23]  R. Johns,et al.  Synoptic and Mesoscale Analysis of a High-Latitude Derecho Severe Thunderstorm Outbreak in Finland on 5 July 2002 , 2006 .

[24]  C. Collier,et al.  Doppler lidar observations of Russian forest fire plumes over Helsinki , 2007 .

[25]  S. Benjamin,et al.  From the Radar-enhanced RUC to the WRF-based Rapid Refresh , 2007 .

[26]  David Fowler,et al.  Micrometeorological measurements of the urban heat budget and CO2 emissions on a city scale. , 2002, Environmental science & technology.

[27]  Heikki N. Koivo,et al.  Weather Sensor Fault Detection with Time-Dependent Recursive Thresholds , 2006, First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06).

[28]  A. Ryzhkov,et al.  Polarimetry for Weather Surveillance Radars , 1999 .

[29]  E. Mårtensson,et al.  Eddy covariance measurements and parameterisation of traffic related particle emissions in an urban environment , 2005 .

[30]  Timo Huttula,et al.  Wireless in-situ Sensor Network for Agriculture and Water Monitoring on a River Basin Scale in Southern Finland: Evaluation from a Data User’s Perspective , 2009, Sensors.

[31]  L. Bosart,et al.  Synoptic—Dynamic Meteorology and Weather Analysis and Forecasting , 2008 .

[32]  Timothy R. Oke,et al.  Flux and turbulence measurements at a densely built‐up site in Marseille: Heat, mass (water and carbon dioxide), and momentum , 2004 .

[33]  P. Hari,et al.  Micrometeorological Observations of a Microburst in Southern Finland , 2007 .

[34]  C. Capsoni,et al.  Statistical Characterization of Path Attenuation of Radar Signals at C Band , 2001 .

[35]  Ü. Rannik,et al.  Annual particle flux observations over a heterogeneous urban area , 2009 .

[36]  V. N. Bringi,et al.  The Effects of Three-Body Scattering on Differential Reflectivity Signatures , 2000 .

[37]  M. Kanda,et al.  Seasonal and Diurnal Fluxes of Radiation, Heat, Water Vapor, and Carbon Dioxide over a Suburban Area , 2004 .

[38]  Antti Mäkelä,et al.  The Daily Cloud-to-Ground Lightning Flash Density in the Contiguous United States and Finland , 2011 .

[39]  Jerry M. Straka,et al.  Bulk Hydrometeor Classification and Quantification Using Polarimetric Radar Data: Synthesis of Relations , 2000 .

[40]  Paul Roebber,et al.  The Fiftieth Anniversary of Sanders (1955): A Mesoscale Model Simulation of the Cold Front of 17–18 April 1953 , 2005 .

[41]  R. White.  policy forum: The Evolving Public–Private Meteorology Partnership , 2001 .

[42]  Riko Oki,et al.  International Global Precipitation Measurement (GPM) Program and Mission: An Overview , 2007 .

[43]  Ari-Juhani Punkka,et al.  Occurrence of Summertime Convective Precipitation and Mesoscale Convective Systems in Finland during 2000–01 , 2005 .

[44]  Harri Hohti,et al.  Quality assurance in the FMI Doppler Weather Radar Network , 2010 .

[45]  K. B. Strawbridge,et al.  Spatial And Temporal Variability Of Mixed-Layer Depth And Entrainment Zone Thickness , 2000 .

[46]  V. Chandrasekar,et al.  Hydrometeor classification system using dual-polarization radar measurements: model improvements and in situ verification , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[47]  Harri Hohti,et al.  Climatology of Severe Hail in Finland: 1930–2006 , 2009 .