Quality and fusion of surface weather stations and dual-polarization radar measurements
Keywords: Data fusion, Measurement qualtity, Weather radar, Weather stations
One of the current trends in weather forecasting is nowcasting, i.e. doing short term and local forecasts with a time frame of a couple of hours and a spatial accuracy of a few kilometers. Nowcasting requires more dense measurement network of surface weather, along with remote sensing methods (Doppler radars, weather satellites etc.). For research purposes, Finnish Meteorological Institute (FMI) and Vaisala have developed their own weather measurement network, Helsinki Testbed, which includes Vaisala weather transmitters, WXT510s.
PIPO-project utilizes the Helsinki Testbed data to reach its three main objectives. The first two objectives consider the measurement quality of dual-polarization weather radar and mesoscale surface weather station network, respectively. The third objective is about data fusion of different types of weather measurements.
The goals for the radar measurement quality -part are
- Development of quality estimate of doppler measurements for squall (thunder gusts) identification
- Influence of polarimetric phenomena probabilities on the measurement quality
- Development of a quality algebra for a multiple radar fusion while suffering from rain attenuation and measurement geometry.
The surface weather station quality -part of PIPO is concentrating on
- Identification of different types of measurement errors
- Quality control of rain and wind measurements
- Development of surface weather station quality control based on the fault history
- Development of performance induces for weather stations
- Development of operation and maintenance functions
The data fusion of weather measurements in PIPO is considers
- Identification of squalls from measurements of surface weather stations
- Determination of characteristics and estimation life span of convective cells
- Development of quality weighted data fusion of measurements
- Harmonization of radar and surface station quality variables
The measurment quality parts aim to enhance the accuracy of the measurements and indicate the measurement quality more closely than in before.
Due to the variety and complexity of weather phenomena, PIPO is specially concentrated on convective thunders, which can be distinctly found by different measurement sources. The project will develop expert system -type rules for squall identification based on the surface measurements with aiming for squall warning system. PIPO will also develop algorithms for estimation and prediction of life cycle of convective thunder cells.
Project leader: Heikki Koivo
Other researchers: Vesa Hasu, Pekka Rossi, Taru Laamanen
In cooperation with: Ilmatieteen laitos, Vaisala
Research contribution: 2007-01-01 ... 2009-02-28
- Pekka Rossi, Vesa Hasu, Antti Makela and Elena Saltikoff,
"Analysis of convective cells and lightning using tracking methods,"
in World Meteorological Organization Symposium on Nowcasting and Very Short Range Forecasting, Whistler, British Columbia, Canada: WMO, Environment, 2009, pp. 8.
- Vesa Hasu and Heikki Koivo,
"Automatic rain and wind measurement fault identification in mesoscale weather station networks,"
in I²MTC 2008 - 2008 IEEE International Instrumentation and Measurement Technology Conference Proceedings, Victoria, Canada: IEEE, 2008, pp. 489-494.
- Pekka Rossi and Antti Mäkelä,
"A clustering-based tracking method for convective cell identification and analysis,"
in Proceedings of ERAD 2008, Helsinki, Finland: Finnish Meteorological Institute, 2008, 5 pp.
- Vesa Hasu and Heikki Koivo,
"Maintenance variables for spatially distributed measurement networks,"
in Proceedings of 2007 IEEE International Conference on Systems, Man, and Cybernetics, Montreal, Canada: IEEE, 2007, pp. 1327-1332.