20 Sept. 20102 nd GALION WS WMO, Geneva 1 Optimisation of Instruments Arnoud Apituley Volker...

20 Sept. 2010 2nd GALION WSWMO, Geneva

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Optimisation of Instruments

Arnoud ApituleyVolker Freudenthaler

Adolfo Comeron

Outline

• Goals

• Methodology and Tools

• Progress and Status

• Conclusions


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Goals

• Improving the EARLINET installed base of lidars1. Performance2. Homogeneity3. Operationality

• Selecting optimum technical solutions for instrumental problems

• Recommendations for implementation across the network

• Facilitate expansion of the network20 Sept. 2010 2nd GALION WS

WMO, Geneva3

Performance• Which parameters should be optimised?


4

GA

W r

epor

t 17

8, W

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/TD

-No.

144

3

Performance


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• Which lidar configurations?

GA

W r

epor

t 17

8, W

MO

/TD

-No.

144

3

Homogeneity?


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Multi-wavelength Raman (3+2)

Raman

Backscatter


77

Bilthoven/Cabauw, NL

Barcelona, ES

Athens, GR Garmisch-Partenkirchen, DE

München, DE

Leipzig/Meltpiz, DE

Hamburg, DELinkoping, SE

Granada, ES

Operationality

• Increase level of automation– e.g. measurement start-up procedures– Full autonomous operation

• Decrease need for operator controlled measurements– e.g. safety and control


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Expected Results

• Enhanced homogeneity of performance over the network– Quantitative data products

• Better coverage of vertical range– Including the boundary layer

• Increased temporal coverage– Improved Raman daytime performance– Increased level of automation (capture events)

• Facilitate expansion of the network• Possible: spin-off to SME for production of standardised

components•


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Expected Results

• Enhanced homogeneity of performance over the network– Quantitative data products

• Better coverage of vertical range– Including the boundary layer

• Increased temporal coverage– Improved Raman daytime performance– Increased level of automation (capture events)

• Facilitate expansion of the network• Possible: spin-off to SME for production of standardised

components• Expansion of deliverable data products

– Cloud products, ash, faster data delivery


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Methodology and Tools

• Handbook of Instruments– Extensive set of system parameters– Exploitation of handbook data

• Repository of techniques – Solutions for technical problems

• Analysis tools– Optical configuration (ray-tracing)– Electronics recommendations and testing

procedures


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Handbook of Instruments

• Detailed description of each individual station

• Generic format to allow wide variety of designs

• Blocks of information– Station information (location,

name, etc.)– Emitter description (wavelengths,

control systems)– Optical receiver– Wavelength separation– Detectors– Data acquisition– Ancillary station information

(nearest sonde, sunphotometer)


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Handbook Example• 1-lambda Backscatter lidar


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R.M

. M

easu

res,

198

4

Handbook Example• Multi-wavelength Raman Lidar


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. F

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. A

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ley

Handbook Updating

• Spreadsheet– Tedious updating process– Difficult to couple to profiles in database

• Database with admin-access via web– Easier to maintain– System configuration traceable to specific date– Automatic access (data processing purposes)– Public interface for general overview


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Handbook Updating


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http://cerberus.rivm.nl/earlinet/earlinet.php

Handbook Public View


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http://cerberus.rivm.nl/earlinet/index_new.php



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Analysis Tools

• Optics– Calculate validity

of configuration based on Handbook data

– Raytracing individual instruments


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Repository of Techniques and Solutions

• Techniques are presented and discussed during workshops

• Documentation materials made accessible


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I. S

erik

ov

I. S

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System Integration and Automation

• Recommendations to put sub systems together– Serviceable (modular,

replaceable, upgradable)– Instrument control

software integration– Electrical connections to

avoid problems– Computer Interfacing– Remote control


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Commercial Systems

• Commercially available systems are available– In use in Granada, Leipzig, Evora, Bucharest,

Ispra, Palaiseau– Instruments have to pass through network

QA/QC procedures before data can be accepted in the database

• Common parts– Interact with suppliers for common

specifications and custom configurations


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Progress and Status

• Instrument installed base development since 2000


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Network Development


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2000

22 Instruments

8/22 Raman capable2/22 High performance

Network Development


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2006

28 Instruments


Network Development


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2010

33 Instruments


Conclusions

• Tools exist for keeping track of the development and quality of the installed base of instruments in the network

• Recommendations and techniques for network participants and aspiring partners available

• Improvement of tools and repository of recommendations is ongoing

• Commercial systems are becoming part of the network

• Network has expanded and performance in terms of network objectives has increased


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20 Sept. 20102 nd GALION WS WMO, Geneva 1 Optimisation of Instruments Arnoud Apituley Volker...

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