Aviation Weather Hazards Nowcasting Based on Remote Temperature Sensing Data Mikhail Kanevsky*, Evgeny Miller**, Nikolay Baranov*** *International Aeronavigation Systems, [email protected], **RPO ATTEX, [email protected], ***Dorodnicyn Computing Centre, FRC CSC RAS
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Aviation Weather Hazards Nowcasting Based on Remote ... · 2(30) In 2017 has been started the new project in Pulkovo (ULLI) for investigation of the Aviation Weather Hazards Nowcasting
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Aviation Weather Hazards Nowcasting Based on Remote Temperature Sensing
Aviation Weather Hazards Nowcasting Based on Remote Temperature Sensing Data .
San Francisco, USA, 2014
Enhancing the short-term forecasting system for the weather phenomena and conditions with the greatest impact
on aviation operations represents an important endeavor for improvement of the air navigation meteorological
support which contributes to the safe, efficient and regular aircraft flights.
One way of developing nowcasting systems is to integrate the existing observation data and mesoscale high-
resolution models for the tasks of airport forecasting to support air traffic control during take-off/approach and
airport service operations. This report describes a nowcasting subsystem based on an automated remote
temperature sensing and nowcasting complex using the microwave profiler (MTP-5).
Aviation Weather Hazards Nowcasting Based on Remote Temperature Sensing Data ensures automated temperature observations in the boundary layer of the atmosphere, as well as provision and visualization of observation data up to 10 km and automatic calculations for forecasts of the current weather phenomena and conditions at the airport, such as:
1) Fog probability, 2) Low altitude wind shear and wake vortex flight safety, 3) Probability of freezing precipitation, 4) Icing.
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1. Introduction
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Aviation Weather Hazards Nowcasting Based on Remote Temperature Sensing Data .
5) MultiChannel padiometer
No profile without
radiosondes (pos.1)
MWRnet - An International Network of Ground-based Microwave Radiometers
Diagram and photo of the MTP-5 installation in Pulkovo (ULLI) airport in March 17, 2017.
To solve task of nowcasting, numerical models data (GFS) and meteorological data from Pulkovo
meteorological station (METAR) have been applied. Data from the standard set of sensors (air
temperature, humidity, wind, and etc.) provided by НМР155D (as a part of «KRAMS-4») have been
used for calculations.
The final solution for nowcasting taking account all sets of data has been implemented through using
specialized software developed together with IANS Concern (http://www.ians.aero/)
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Aviation Weather Hazards Nowcasting Based on Remote Temperature Sensing Data .
Temperature profiles for minimum visibility in fog 06.04-07.04 Vis<0.3km|25.05 2:00 Vis<0.1km|11.06 1:30 Vis<0.8km
The analysis carried out on the available data series (16 days with events) showed that the short-term fog
forecasting problem can be successfully solved through the complex using set of observation data:
- the dynamics of the dewpoint depression (trend to and/or stand at a level close to 0),
- data on temperature profiles sounding of PBL (dT[0-200m], dTinversion and height of the inversion base),
- wind speed on 2m.
By using these data set we have:
- justifiability of up to 98%,
- forecasting on a short term period of up to 5-9 hours for fog formation,
- for dissipations the forecasting period was up to 2 hours.
To ensure high justifiability of algorithms for the short-term fog forecasting, it is necessary to adapt the
criterion parameters on the all-season data set.
To applying FSI with continues data (T-T850) has been changed to (T-T200) and W850 to Ft (2m).
200m
50m
1) Fog probability,
2) Low altitude wind shear and wake vortex flight safety,
3) Probability of freezing precipitation,
4) Icing.
WHY WE NEED TEMPERATURE PROFILE for Wind shear?
Christian Pagé D. Cimini et al. (eds.), Integrated Ground-Based Observing Systems
MTP-5 has been developed for temperature inversion measurements!
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Aviation Weather Hazards Nowcasting Based on Remote Temperature Sensing Data .
Sochi. RU. 2014
0 30 60 90 z0
25
50
75
100
125 y
Profile 1
Profile 2
Profile 3
Profile 4
Adiabatic
Wake turbulence is turbulence that forms behind an aircraft as it passes through the air.
В747-800, 100sec, Profile 1 next is B737-300 (wings 28.88m, speed 77m/sec). Wind 0m/s http://ians.aero/en/
Wake vortex safety system and Wind shear
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Aviation Weather Hazards Nowcasting Based on Remote Temperature Sensing Data .
8 10 12 14 16 T0
200
400
600
800
1000 h
Profile 1
Profile 2
Profile 3
Profile 4
Fast-time wake vortex models typically require inputs of an estimate of the vertical profiles of the wind, potential temperature, and ambient turbulence (Greene, 1986; Robins and Delisi, 2002; Proctor, 2009; Ahmad et al., 2014).
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Aviation Weather Hazards Nowcasting Based on Remote Temperature Sensing Data .
San Francisco - Airport (SFO). USA. 2015
1) Fog probability,
2) Low altitude wind shear and wake vortex flight safety,
3) Probability of freezing precipitation,
4) Icing.
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Aviation Weather Hazards Nowcasting Based on Remote Temperature Sensing Data .
11.11.2016 16:35 Moscow
10.11.2016 16:20 GMT
By using radars data we can the expected rainfall amount and intensity. Moreover, we can see how fast is coming to us these precipitation.
dTo=To_isot-Tinv
1) Fog probability,
2) Low altitude wind shear and wake vortex flight safety,