1 / 23

Use of Small Unmanned Airplanes to Improve On-Demand Local Forecasts

13 th WRF conference June 2012. Use of Small Unmanned Airplanes to Improve On-Demand Local Forecasts. Ólafur Rögnvaldsson – IMR/ UiB H álfdán Ágústsson – IMR/UI/IMO Marius O. Jonassen – IMR/ UiB Haraldur Ólafsson – UiB /UI/IMO. SAR Weather – www.sarweather.com.

ilana
Download Presentation

Use of Small Unmanned Airplanes to Improve On-Demand Local Forecasts

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 13th WRF conference June 2012 Use of Small Unmanned Airplanes to Improve On-Demand Local Forecasts Ólafur Rögnvaldsson – IMR/UiB HálfdánÁgústsson – IMR/UI/IMO Marius O. Jonassen – IMR/UiB HaraldurÓlafsson – UiB/UI/IMO SARWeather – www.sarweather.com

  2. 13th WRF conference June 2012 Overview • Numerical Weather Models • Importance of resolution • Current Crisis Response System • SARWeatherdemonstration • Use of observations from UAS’s • On-going research • Conclusions SARWeather – www.sarweather.com

  3. 13th WRF conference June 2012 Importance of high resolution Global forecasts 15-50 km grid SARWeather forecasts 9 – 3 – 1 km grids SARWeather – www.sarweather.com

  4. 13th WRF conference June 2012 Importance of high resolution Very high resolution – 1 km When model resolution is increased to 1 km the true complexity and strength of the wind field becomes apparent Medium resolution – 9 km SARWeather – www.sarweather.com

  5. 13th WRF conference June 2012 Why not always use 1km resolution? Need 1000-times more CPU power to simulate a 1 km resolution forecast than a 10 km one for the same region! SARWeather – www.sarweather.com

  6. 13th WRF conference June 2012 What if • You only need high very high resolution once in a while? • Computer clouds (e.g. Azure, EC2 and GreenQloud) are starting to offer HPC service • Offers great scalability • Relatively cheap • And there is already a solution out there  SARWeather – www.sarweather.com

  7. 13th WRF conference June 2012 Crisis Response System • Good weather information help improve decision making • Current CRS uses the WRF model and consists of a • Backend andFrontend • Frontend is called SARWeather • Easy to use • Fast • Flexible model output and presentation • CF and ArcGIS compliant output files • Interactive and static maps SARWeather – www.sarweather.com

  8. 13th WRF conference June 2012 High resolution not always sufficient Simulated and observed surface winds on 15 July 2009 at 13 UTC Model simulates a see-breeze that is not seen in observations WRF at a resolution of 500 m forced with ECMWF-data on model levels. Observed surface winds in red Mt. Esja SARWeather – www.sarweather.com

  9. 13th WRF conference June 2012 SUMO and WRF Can be operated in cold climates The SUMO (Small Unmanned Meteorological Observer) can measure winds, humidity, pressure, and temperature in a vertical profile up to a 4km height SARWeather – www.sarweather.com

  10. 13th WRF conference June 2012 SUMO and WRF This data can be assimilated with the WRF weather forecast SARWeather – www.sarweather.com

  11. 13th WRF conference June 2012 SUMO and WRF The SUMO-data is incorporated into the WRF-simulation, via obs-nudging SARWeather – www.sarweather.com

  12. 13th WRF conference June 2012 Effects of additional observations Simulated and observed surface winds on 15 July 2009 at 13 UTC The flow structure is now in much better agreement with available observations WRF at a resolution of 500 m forced with ECMWF-data on model levels and SUMO data Observed surface winds in red Mt. Esja SARWeather – www.sarweather.com

  13. 13th WRF conference June 2012 Effects can be far reaching “Substantial improvements of winds, temperatures and humidity in the region are achieved” CTRL - ObsNudge 50 km Marius O. Jonassen, HaraldurÓlafsson, HálfdánÁgústsson, Ólafur Rögnvaldsson, and Joachim Reuder (2012). Improving a high resolution numerical weather simulation by assimilating data from an unmanned aerial system. Accepted for publication inMonthly Weather Review SARWeather – www.sarweather.com

  14. 13th WRF conference June 2012 Transmitting data from the field Observations made over Myrdalsjokull ice cap in South Iceland on 17 May 2012 Data can be transmitted via 3G mobile connection One profile used for comparison at 16:30 UTC Three profiles used to nudge the forecast at times 11:55, 12:58 and 14:38 UTC Site altitudes ~ 1300 m.a.s.l. Profile heights ~ 2000 m.a.g.l. From 860hPa to 650/680hPa SARWeather – www.sarweather.com

  15. 13th WRF conference June 2012 Transmitting data from the field Observations made over Myrdalsjokull ice cap in South Iceland on 17 May 2012 Obs in black WRF - noSUMO in red WRF - withSUMO in blue Profile used for nudging @ 14:38 UTC 750 hPa Wind-speed Temperature Profile used for comparison @ 16:30 UTC 850 hPa -20°C -10°C 0°C 5m/s 10m/s 750 hPa Wind-speed Problems with low-level windspeed and a cold bias 2hrs after last profile Temperature 850 hPa SARWeather – www.sarweather.com -20°C -10°C 0°C 5m/s 10m/s

  16. Additional sensors 13th WRF conference June 2012 The SUMO has been equipped with an optical dust sensor • GP2Y1010AU0F is a dust sensor by optical sensing system: • An infrared emitting diode (IRED) and an phototransistor are diagonally arranged into the device • It detects the reflected light of dust in air • Especially effective to detect very fine particle • In addition it can distinguish smoke from house dust by pulse pattern of output voltage Saturation at about 500μg/m3 SARWeather – www.sarweather.com

  17. Preliminary results 13th WRF conference June 2012 The SUMO dust sensor has been tested in France and Iceland SARWeather – www.sarweather.com

  18. Preliminary results 13th WRF conference June 2012 The SUMO dust sensor has been tested in France and Iceland Ascending Descending Sensor is now being calibrated and tested with ash from Mt. Eyjafjallajökull SARWeather – www.sarweather.com

  19. Calibration – preliminary results 13th WRF conference June 2012 • The sensor (BU) readings show high sensitivity in the range 125 – 300. After that the sensitivity is rather low in the range 350 to 700. • Using the meter for ash surveillance for jet aircrafts, the best thing would be to designate below 300 as “safe” but above 400 as “unsafe” SARWeather – www.sarweather.com

  20. 13th WRF conference June 2012 Current research and development System schematics Integration with other systems D4H GDACS MapAction User interface Data assimilation (optional) Data source for atmospheric model Misc. datasources (optional) SARWeather – www.sarweather.com

  21. 13th WRF conference June 2012 Current research and development System schematics Integration with other systems D4H GDACS MapAction Optional module Still under development User interface Data assimilation (optional) Data source for atmospheric model Misc. datasources (optional) SARWeather – www.sarweather.com

  22. 13th WRF conference June 2012 Conclusions • Model resolution is important • Especially in the vicinity of complex terrain • On-Demand CR system has been developed • Called SARWeather– www.sarweather.com • Additional observations can improve the simulation • Vertical profiles made by the SUMO, radiosondesor other means • The SUMO is a low-cost system with many advantages • Proof of concept before investing in a more durable and expensive UAS • Additional sensors are being added to the system • Is currently being integrated to the SARWeather CR system SARWeather – www.sarweather.com

  23. 13th WRF conference June 2012 Acknowledgement • SARWeather is a joint research project led by IMR/Belgingur, in collaboration with NOAA/ESRL, the University of Bergen, and the private companies GreenQloud and DataMarket. To ensure maximum usability for SAR operators, SARWeather is developed in close collaboration with ICE-SAR and the Civil Protection Department of the Icelandic Police. • SARWeather was initially funded in part by grant number 550-025 (Vejrtjeneste for Søberedskab) from NORA and by the European Commission under the 7th Community Framework Programme for Research and Technological Development (GalileoCast). GalileoCast is managed by GSA, the European GNSS Supervisory Authority. • Current development of SARWeather is funded in part by the Icelandic Technical Development Fund – RANNÍS • Development related to the SUMO has in part been funded by the COST project ES0802 SARWeather – www.sarweather.com

More Related