USV TEST FLIGHT BY STRATOSPHERIC BALLOON: PRELIMINARY MISSION ANALYSIS

Similar documents
Analysis and prediction of stratospheric balloons trajectories

arxiv: v1 [physics.ins-det] 12 Jun 2018

Ascending Phase of Dropped Transonic Flight Test for the Unmanned Space Vehicle

6.8 EVALUATION OF BALLOON TRAJECTORY FORECAST ROUTINES FOR GAINS

BRINGING YOUR EXPERIMENT INTO SPACE

Advanced drop tests from stratospheric balloons

Air Drag on a Stratospheric Balloon in Tropical Regions. H.P. Lee, K.M. Lim, B.C. Khoo, Q. Sun

Report Team /09/2012

Ryan K. Decker * NASA Marshall Space Flight Center, Huntsville, Alabama. Lee Burns Raytheon, Huntsville, Alabama

Balloons - Stable Platforms for Payloads in the Higher Atmosphere

RESULTS OF MID-LATITUDE MIPAS VALIDATION MEASUREMENTS OBTAINED BY THE SAFIRE-A AIRBORNE SPECTROMETER

Migration from TAC to BUFR for TEMP observations

PEGASO: AN ULTRA LIGHT LONG DURATION STRATOSPHERIC PAYLOAD FOR POLAR REGIONS FLIGHTS

Application and verification of ECMWF products: 2010

Upper Atmospheric Monitoring for Ares I-X Ascent Loads and Trajectory Evaluation on the Day-of-Launch

Unmanned Aircraft Hurricane Reconnaissance. Pat Fitzpatrick GeoSystems Research Institute Mississippi State University Stennis Space Center branch

2016 Elijah High Altitude Balloon Launch Team Summer Proceedings Report. Carthage College, Kenosha, Wisconsin,

SP-1291 June Mars Express. The Scientific Investigations

Stardust Entry Reconstruction

RESULTS OF MID-LATITUDE MIPAS VALIDATION MEASUREMENTS OBTAINED BY THE SAFIRE-A AIRBORNE SPECTROMETER

Six Days at the Edge of Space: 10 Years of HASP Balloon Flight Operations

ACHIEVING THE ERS-2 ENVISAT INTER-SATELLITE INTERFEROMETRY TANDEM CONSTELLATION.

F. Rabier, N. Saint-Ramond, V. Guidard, A. Doerenbecher, A. Vincensini Météo-France and CNRS

Mode-S EHS data usage in the meteorological domain:

VALIDATION OF MIPAS TEMPERATURE DATA WITH THE U. BONN LIDAR AT THE ESRANGE DURING JULY AND AUGUST 2002

Balloon-Borne Observations of Gravity-Wave Momentum Fluxes over Antarctica and Surrounding Areas

No End of Push-broom Operations

Wind data collected by a fixed-wing aircraft in the vicinity of a typhoon over the south China coastal waters

Performance of Radar Wind Profilers, Radiosondes, and Surface Flux Stations at the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Site

ABC-CLIO ebook Collection

Atmosphere : Properties and Standard Atmosphere

MONTGOLFIERE BALLOON MISSIONS FOR MARS AND TITAN

Abstract. Introduction

Life Cycle of Convective Systems over Western Colombia

ROCSAT-3 Constellation Mission

Fin design mission. Team Members

Applications of Meteorological Tower Data at Kennedy Space Center

Radar data assimilation using a modular programming approach with the Ensemble Kalman Filter: preliminary results

Figure 1. View of ALSAT-2A spacecraft

SMD in Brief -- Status and Program Highlights Presentation to Space Studies Board November 8, 2013

Synoptic and mesoscale analysis of waterspouts in the Adriatic ( preliminary climatology)

Aeolus ESA s Wind Lidar Mission: Technical Status & Latest Results

Basic Ascent Performance Analyses

How Small Can a Launch Vehicle Be?

Recent Examples of NSFfunded Field Campaigns. Jim Moore - Project Manager (NCAR EOL)

ARUBA CLIMATOLOGICAL SUMMARY 2014 PRECIPITATION

SCIENCE WITH DIRECTED AERIAL DR. ALEXEY PANKINE GLOBAL AEROSPACE CORPORATION SAILING THE PLANETS

SATELLITE RE-ENTRY PREDICTION PRODUCTS FOR CIVIL PROTECTION APPLICATIONS. C. Pardini & L. Anselmo

Activity: The Atmosphere in the Vertical

asi agenzia spaziale italiana

Coastal Ocean Circulation Experiment off Senegal (COCES)

Orbit Design Marcelo Suárez. 6th Science Meeting; Seattle, WA, USA July 2010

Use of FY-3C/GNOS Data for Assessing the on-orbit Performance of Microwave Sounding Instruments

Impact of observations in the Southern Polar Area during the Concordiasi field experiment

Preliminary Results from the ATHENA-OAWL Venture Tech Airborne Mission

The project that I originally selected to research for the OC 3570 course was based on

SAMPLE ASSESSMENT TASKS AVIATION ATAR YEAR 12

Weather Needs for UAS Operations

AIRS observations of Dome Concordia in Antarctica and comparison with Automated Weather Stations during 2005

IMPORTANCE OF SATELLITE DATA (FOR REANALYSIS AND BEYOND) Jörg Schulz EUMETSAT

THE METEOROLOGICAL ROCKET SYSTEM FOR ATMOSPHERIC RESEARCH

Suborbital Research in the Mesosphere and Lower Thermosphere a New Window on the Turbopause Region

An Investigation of Reforecasting Applications for NGGPS Aviation Weather Prediction: An Initial Study of Ceiling and Visibility Prediction

PRMS WHITE PAPER 2014 NORTH ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Event Response

Update on the In-orbit Performances of GIOVE Clocks

Science planning and operations for Mars Express

Evaluation of monthly total global and diffuse solar radiation in Ibi, Taraba state, Nigeria

Application and verification of the ECMWF products Report 2007

Montréal, 7 to 18 July 2014

Application and verification of ECMWF products 2013

21 JSTS Vol. 27, No. 2

VALIDATION OF GOMOS HIGH RESOLUTION TEMPERATURE DATA WITH THE U. BONN LIDAR AT THE ESRANGE DURING JANUARY AND FEBRUARY 2003

Spaceborne Wind Lidar Observations by Aeolus Data Products and Pre-Launch Validation with an Airborne Instrument

Absolute Radiometric Calibration Using a Solar Reflector in Near-Geosynchronous Orbit

INNOVATIVE STRATEGY FOR Z9 REENTRY

FLYSAFE Bird strike risk mitigation in aviation

2.5 COMPARING WATER VAPOR VERTICAL PROFILES USING CNR-IMAA RAMAN LIDAR AND CLOUDNET DATA

Internal-Gravity Waves Observed During the August 21, 2017 Total Solar Eclipse by National Eclipse Radiosonde Campaign

EMADDC. towards operational collection of Mode-S EHS observations in Europe

CHAPTER 3 PERFORMANCE

Space Debris Re-entries and Aviation Safety

MARS DROP. Matthew A. Eby Mechanical Systems Department. Vehicle Systems Division/ETG The Aerospace Corporation May 25, 2013

[EN-A-083] Potential Benefits of Speed Control on Delay and Fuel Consumption

IADC Re-Entry Prediction Campaigns

ARUBA CLIMATOLOGICAL SUMMARY 2017 PRECIPITATION

Experimental Analysis of Low Earth Orbit Satellites due to Atmospheric Perturbations

OBSERVING SYSTEM EXPERIMENTS ON ATOVS ORBIT CONSTELLATIONS

ESA s Juice: Mission Summary and Fact Sheet

PROOF-OF-CONCEPT DEMONSTRATION OF A MILLIMETRE WAVE IMAGING SOUNDER FOR GEOSTATIONARY EARTH ORBIT

A Space Debris Alert System for Aviation. US Patent pending Inventor: T. Sgobba - ESA Independent Safety Office

EUMETNET Statement for the EASA Workshop Volcanic Ash Cloud: Detection, Observation, Measurement, Modelling The Way Forward

Orbital Analysis of the Shenzhou-7 Manned Mission in Support of the Malindi Tracking Station

National Center for Atmospheric Research Boulder, Colorado Hlllcrest For Further Information: Bill Kroeck, Ext. 36

ADM-Aeolus Progressing Towards Mission Exploitation

Space-Based Polar Remote Sensing

FLIGHT RECONSTRUCTION OF THE MARS PATHFINDER DISK-GAP-BAND PARACHUTE DRAG COEFFICIENT

Appendix Q Launch Debris and Staging Impact Locations

ASCAT-B Level 2 Soil Moisture Validation Report

[News Release] Balloon-Assisted UAV Brings Back Stratospheric Aerosol Samples from Altitude of 22km in Antarctica

Weather and the Atmosphere. RAP Short Course

Transcription:

USV TEST FLIGHT BY STRATOSPHERIC BALLOON: PRELIMINARY MISSION ANALYSIS A. Cardillo a, I. Musso a, R. Ibba b, O.Cosentino b a Institute of Information Science and Technologies, National Research Council, via Moruzzi 1, 56124 Pisa, Italy b Italian Space Agency, viale Liegi 26, 00198 Roma, Italy Abstract The Unmanned Space Vehicle test flights will use a 7 meters 1300 kg aircraft. The first three launches will take place at the Italian Space Agency ASI base in Trapani-Milo, Sicily, through a stratospheric balloon that will drop the aircraft at a predefined height. After free fall acceleration to transonic velocities, the parachute deployment will allow a safe splash-down in the central Mediterranean Sea. The goal of this article is to show the preliminary analysis results for the first USV flight. We carried out a statistical study for the year 2000 2003, evaluating the typical summer and winter launch windows of the Trapani-Milo base. First, in the center Mediterranean, we define safe recovery areas. They can t be reached during the balloon ascending phase so, after a sufficiently long floating part able to catch the open sea, the balloon will go down to the release height (24 km). The simulation foresees a 400,000 m 3 balloon and 3 valves for the altitude transfer. A safe splash-down must occur far enough from the nearest coast: the minimum distance is considered around 25 km. The vehicle should be released at a distance, from the nearest coast, greater than this minimum amount plus the USV model maximum horizontal translation, during its own trajectory from balloon separation to splash-down. In this way we define safe release areas for some possible translations. Winter stratospheric winds are less stable. The winter average flight duration is 7 hours and it is probably too long for the diurnal recovery requirement and its scheduled procedures. Comparing past stratospheric balloons flights and trajectories computed using measured meteorological data (analysis), with their predictions made using forecast models and soundings, we obtain the standard deviation of the trajectory forecast uncertainty at the balloon-aircraft separation. Two cases are taken into account: predictions made 24 h and 6 h before the launch. Assuming a Gaussian latitudinal uncertainty distribution for the prediction 6 h before the launch, we are able to identify the forecast trajectories that have a probability greater than 97% to reach the safe release areas. Simulating the summer windows trajectories for the years from 2000 to 2003 and for the favorable ground wind days, we obtain the number of trajectories with the desired forecast probabilities. 1. Introduction and scope The Unmanned Space Vehicle project, conceived for the development of the future generations of spacecraft and new aerospace technologies, it is part of the Italian Aerospace Research Program (PRORA) managed by the Italian Aerospace Research Centre (CIRA). The program foresees, for the first three flight tests, the use of stratospheric balloons to drop the aircraft (7 meters aircraft of about 1300 kg) at a required height. Free fall acceleration will push the model to transonic region and, after aerodynamic measurements, the parachute will be deployed reducing the velocity before spash-down. The purpose of this document is to show a preliminary mission analysis, in the case of launch performed by using the ASI's facilities in Trapani-Milo. The next sections will be focused on some important aspects of the analysis: Main requirements Wind properties Balloon s altitude profile

Trajectory's properties and impacts on safety requirements Forecast trajectory uncertainties Release areas and confidence level Statistical results 2. Main Requirements The following main requirements apply: Launch base: Launch windows: Recovery operations: USV release height: Recovery: Spash-down distance from costs Trapani-Milo Summer or winter (June August or December January) diurnal 24 km on sea no less than 12 Nm The launch site position does not allow the balloon to reach, during the ascending phase, a safe area having a distance from the coast no less than 12 Nm; the balloon flight must foresee an appropriate floating phase able to catch the release area at open sea. The launch is assumed to be at 7-8 am local time, due to the ground wind statistical properties of the Trapani-Milo base and the requirement of diurnal recovery. During summer the stratospheric winds are westward and the splash down will take place out to sea in front of the Algerian coast; in winter the eastward winds impose the balloon to go across the whole Sicily island and the recovery will be managed in the Ionian Sea, between the Italian and Greek coasts. The minimum distances between the launch site and the splash down area is 70 km for the summer window and about 250 km in winter. 3. Wind properties The forecast simulation and the reconstruction of the balloon trajectories require the availability of the atmospheric data in the geographical area and at the epoch of interest. The same availabilities are still important to point out the statistical properties of the wind direction and intensity and its impact on the trajectory. The following sources have been used to retrieve the wind data: Sounding data, made from the Trapani-Birgi airport and the ASI Trapani-Milo Base Analysis (measured) data from the European Centre for Medium-Range Weather Forecasts Forecast data from ECMWF and MM5 (Fifth-generation Mesoscale Model) models Fig.1 and Fig 2. show the probability distribution of wind directions and speeds for the float altitude (around 10 mb). The winter months have a bigger dispersion. In particular in that period the intensity could be very low, so the balloon will reach the release area few hours before sunset. This advance could be insufficient for the requested diurnal recovery. 4. Balloon s altitude profile Fig.3 shows the balloon altitude as function of the mission elapsed time from launch to the USV release. The simulations have been performed by using: Balloon volume: 400,000 m 3 Payload: 1500 Kg Other parts: 2500 Kg 3 (already used) valves type of 35 cm (Cardillo et al., 2001).

With reference to Fig.3: the balloon reaches the floating altitude after around 2.5 h ; the differences in floating duration time (around 2 h ) take into account the different locations of the release areas for the winter and the summer launch windows the height of 24 km is reached, from the floating altitude, in 1.5 h and it is kept until the balloon enters inside the release area. 5. Trajectory's properties and impacts on safety requirements A database of days having meteorological conditions useful for launch is available in Trapani-Milo ASI base, for the past winter and summer balloons campaigns. Simulations have been performed according to the useful launch days from 2000 to 2003, considering 6 UTC as launch time. In Fig.4 some balloons ground tracks are shown, reconstructed for the month of August 2000. Analyzing the winter trajectories it is clear that the flight could last from 4 to 8 hours, due to high distance between launch and release points and big wind instability. As consequence the balloon could reach the release area at 3 pm local time and the interval time between splash-down and sunset could be less then 1.5 h. Because of no margin for diurnal recovery, the winter launch window could be critical and it will not be anymore taken into account. 6. Forecast trajectory uncertainties The evaluation of the uncertainties, related to the forecast trajectory during the summer window, is calculated measuring the distances between the predicted and the actual ground traces for the stratospheric balloons flights of the ASI archive (Cosentino et al., 2004). Besides, in order to compute much more cases, we compared in addition couple of trajectories reconstructed by using forecast and analysis data. Fig.5 shows, for some couples of simulations, the latitudinal distances between actual and predicted trajectories made by using the forecast wind data available 24 h before launch. Taking into account that the release area is around 10.5 degrees longitude, we obtain the following value for the latitudinal uncertainty s standard deviation at the balloon-aircraft separation point: = 19 Km. Six hours before launch the trajectory is simulated using not only the forecast models but joining also just collected sounding data (Musso et al., 2003, 2004); this method reduces the latitude s uncertainty, as shown in Fig.6. Taking into account again 10.5 degrees as mean longitude of the release area, we obtain the following standard deviation for the latitudinal uncertainty: = 11 Km. 7. Release areas and confidence level The safety conditions for the splash down impose not less than 12 Nm from the nearest coast (around 25 km). As consequence the release must take place from a minimum distance of 25 + x km, where x is the maximum horizontal translation of the Flying Test Bed USV during its own flight trajectory, from the release altitude to the sea level. For x we evaluated four cases with values of 30, 50, 70 and 90 km. The four corresponding areas are shown in Fig.7 together with their simplification by using rectangles (see also Fig.4). We considered that the launch must be done only if the last useful forecast trajectory, (made 6 hours before the flight), will allow the release area to be reached with a probability greater than 97%. For the probability density of the latitudinal forecast uncertainty, a Gaussian distribution can be considered. The curve will be centered at the latitude where the prediction reaches the release area (Fig.8). The abort probability will be the integral of the curve outside the rectangle, representing the safe release area. During the summer windows, the forecast trajectories are no less than 28 km south from the north side of the smallest rectangle (safe release area with x=90 km); so the integral of the latitudinal uncertainty function above the rectangles is negligible (always less than 0.007% considering = 11 Km). It means that to reach the required confidence level (97%), the forecast trajectories must be inside the considered rectangular release area, with a distance, from its south side, greater than 22 km (Fig.8).

8. Statistical results Tab.1 shows, for each month of the summer windows for the years between 2000 and 2003, the number of trajectories reaching the release area with a confidence level greater than 97% over the total number of days useful for launch. For dispersion equal or greater than 90 km practically there are no cases with a confidence level greater than 97%. For a dispersion of 70 km, every month only 5% of trajectories reach the release area with a confidence level of 97%; in addition there could be months without launch opportunities For a dispersion of 50 km, every month the 20% of useful trajectories reach the release area with a confidence level of 97%; For a dispersion of 30 km, every month the 50% of trajectories reach the release area with a confidence level of 97%. 9. Acknowledgements The authors would like to thank Mr Luigi Merico, meteo responsible in ASI Trapani-Milo base, and Dr Adelaide Memmo of CETEMPS (Center for Integration of Remote Sensing and Modeling for the Forecast of Severe Weather, Aquila University) for their very important help. Without them this work could not be possible. 10. References Cosentino, O.; Caballero, F.; Ibba, R.; Gerardi, G.; Cecchini, G.P.; Fernández Abad, A. Transmediterranean flights, in the edge of two centuries, Advanced Space Research, Elsevier, Vol 33, Issue 10, 2004, pp. 1594-1599 Musso, I.; Cardillo, A.; Cosentino, O.; Memmo, A balloon trajectory prediction system, Advanced Space Research, Elsevier, Vol 33, Issue 10, 2004, pp. 1722-1726 Musso I., A. Cardillo, O. Cosentino, Software and methodologies for stratospheric balloons flight prediction, 3th AIAA Aviation Technology, Integration and Operations Technical Forum, Denver, Colorado, 17-19 November 2003, A03-46753 AIAA, Paper 2003-6820 Cardillo A., O. Cosentino, M.C. Falvella, R. Ibba, A. Leonardi, E. Morelli, A Computering Directional Drive for Stratospheric Balloons Using Wind Variation Versus Altitude, Prooceedings of 15 th ESA Symposium on Rocket and Balloons Programmes and Related Research, ESA SP 471, ESA/ESTEC, Noordwijk (NL), August 2001, pp. 629-633 30 km 50 km 70 km 90 km Jun 00 40% 7% 0% 0% Jul 00 61% 22% 6% 0% Aug 00 41% 23% 9% 0% Jun 01 39% 15% 8% 0% Jul 01 44% 19% 13% 6% Aug 01 47% 26% 0% 0% Jun 02 38% 14% 5% 0% Jul 02 75% 25% 8% 0% Aug 02 58% 26% 11% 0% Jun 03 50% 31% 6% 6% Jul 03 45% 10% 0% 0% Aug 03 48% 13% 0% 0% Tab.1: Trajectories percentage (w.r.t. the number of days useful each month for launch) reaching the release area with a confidence level greater than 97%.

Fig.1: Stratospheric wind direction: Probability distribution for wind directions at floating altitude (10 mb). Fig.2: Stratospheric wind intensity: Probability distribution of wind speed at an altitude of 10 mb.

Fig.3: Mission profile: winter (solid) and summer flight opportunities (dash) Fig.4: Trajectories computation: August 2000, simulations approaching the release areas Fig.5: 24 h Forecast uncertainty: latitudinal distances, as function of longitude, between actual and predicted trajectories 24 h before the launch

Fig.6: 6 h Forecast uncertainty: latitudinal distances, as function of longitude, between actual and predicted trajectories 6 h before the launch (forecast models + sounding) Fig.7: Forecast confidence evaluation: considering a Gaussian distribution, the failure probability is function of the latitude of the predicted trajectory, while approaching the release area. For a 6 h prediction 22 km inside the rectangle, it is less than 2.14+0.135 +0.7=2.975%.

Fig.8: Safe release areas: starting from the lines at 25 km from the coasts and considering USV horizontal translations of 30, 50, 70 and 90 km, four release areas can be drown and, for each of them, one rectangle is identified.