Download presentation
Presentation is loading. Please wait.
Published byAnnabella Robinson Modified over 8 years ago
1
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet, B. Landl, Ch. Félix, B. Calpini TECO-2010, Helsinki
2
2 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki 350 km 200 km
3
3 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki This shows… The importance to have reliable meteorological measurements covering the whole Swiss territory The need for integrated systems, starting with complementary meteorological observations and ending up with reliable information for population safety (warning, alarming) The new MeteoSwiss ground-based meteorological network: SwissMetNet
4
4 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki SwissMetNet: General Information Existing networks (automatic, human observers) are being merged into one unified network At the end of the project, 134 automatic weather stations will be connected to the SwissMetNet back-bone and will deliver continuous measurements covering the entire complex Swiss territory Internal customers: national security (alarming in case of extreme meteorological events), weather forecasting, climate change studies, … External customers: airports, tourism, agriculture, …
5
5 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki SwissMetNet: Final Configuration 134 stations 41’290 km 2
6
6 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki SwissMetNet: Main Characteristics Standardised infrastructure and design (maintenance optimisation) GPRS/UMTS data communication (cost reduction) Transmission of housekeeping parameters (network monitoring) Transmission of statistical values for each parameter (min, max, mean, SD, NVV) Local data collection buffer (high data availability, 2009 for the whole network: 99.9%) Point-to-point communication via the central server (remote diagnostics and maintenance) Centralised network monitoring, regionalised intervention Instantaneous meteorological and technical alarms Real-time alarming of the population Real-time technical monitoring and maintenance
7
7 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki
8
8
9
9
10
10 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki
11
11 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki
12
12 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki Network monitoring room
13
13 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki SwissMetNet: Quality Control 1 st level QC on raw data Real-time data control, using simple criteria (threshold, dead band, jump, …) The aim is to detect sudden breakdown of an AWS component, or communication loss 2 nd level QC on raw data QCT (Quality Control in Time 1 ) Performed daily, using past data (typically 6 months) to control data from the last days The aim is to detect drifts or intermittent failure on AWS components (sensors, power consumption, battery, …) 1 cf. Poster P5(11)
14
14 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki QCT: Example Counts of 10-min mean values of 0.0 m/s wind velocity for each day
15
15 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki SwissMetNet: Outlook Integrate various observing techniques on a unique data acquisition and communication platform: in-situ and remote sensing instruments Develop new AWS generation for applied purposes: Stand-alone stations (solar energy) Dedicated sub-network for dense precipitation measurement
16
16 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki Integration of remote-sensing instrumentation: windprofiler
17
17 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki Integration of remote-sensing instrumentation: radiometer
18
18 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki Integration of remote-sensing instrumentation: LIDAR
19
19 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki Monte Rosa (2880 m a.s.l.) 1 st SMN stand-alone station
20
20 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki Fast Deployed precipitation station for a dedicated sub-network
21
21 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki Sub-network for precipitation obs. 50 additional automatic rain gauges
22
22 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki
23
23 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki Summary SwissMetNet: the new ground-based automatic meterological network of MeteoSwiss to cover various governmental and private issues Single communication platform for different observing systems Appropriate technical QC of the whole network Possibility to extend the network at any time with dedicated sub-networks for specific purposes
24
24 Development and challenges in SwissMetNet, the new Swiss meteorological network Y.-A. Roulet et al., TECO-2010, Helsinki Thank you for your attention!
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.