RA VI – 16 11-17 September 2013, Helsinki WIGOS SIDE EVENT

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RA VI – 16 11-17 September 2013, Helsinki WIGOS SIDE EVENT INTEGRATION AND MANAGEMENT OF OBSERVATION NETWORKS IN SPAIN

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INTEGRATION AND MANAGEMENT OF OBSERVATION NETWORKS IN SPAIN. RA VI – 16 11-17 September 2013, Helsinki WIGOS SIDE EVENT. OUTLINE. AEMET Regional Basic Synoptic Network Upper-Air Surface stations AEMET Regional Basic Climatological Network WWW programme ASAP programme - PowerPoint PPT Presentation

Transcript of RA VI – 16 11-17 September 2013, Helsinki WIGOS SIDE EVENT

Page 1: RA VI – 16 11-17 September 2013, Helsinki WIGOS SIDE EVENT

RA VI – 16 11-17 September 2013, Helsinki

WIGOS SIDE EVENT

INTEGRATION AND MANAGEMENT OF OBSERVATION NETWORKS IN SPAIN

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OUTLINE• AEMET Regional Basic Synoptic Network

• Upper-Air• Surface stations

• AEMET Regional Basic Climatological Network• WWW programme• ASAP programme

• AEMET Lightning Network• AEMET RADAR network• AEMET Solar Radiation and Atmospheric

composition observation network.• SIGROBS. Integrated System for the Management of

Observing Networks

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Contribution to the WWW ProgrammeType of network Number

stationsDistance between stations

Instrumentation Data Transmission

Surface RBSN 36(9 GCOS/GSN)

150 km Semiautomatic Weather Stations

Every hour

Upper Air RBSN 8 (2 GCOS/GUAN)

300 km 4 Autosonde 00 and 12UTC

ASAP and VOS 1 Mauritanian coastal area

Container and AWS

12UTC soundingEvery 3 hours SHIP

Climatological RCBR

54 Manual and AWS ClimatClimat temp

Mesoescalar Network

282 30-80 km 64 Semiautomatic Weather Stations218 AWS

Every 10 minutes

National Ordinary Climatological Network

2423 Climatological National Criteria

Manual555 AWS

MonthlySix times a day

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AEMET Regional Basic Synoptic Network UPPER-AIR

8 upper air stations

4 with automatic radiosounding equipments (2002)(Tenerife, Mallorca, Zaragoza and Madrid)

4 manual observations (Murcia, Santander, Coruña and Barcelona)

* DataTransmision: 00 and 12 UTC

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AEMET Regional Basic Synoptic Network SURFACE STATIONS

36 synoptic stations31 semiautomatic weather stations

5 manual observations

* Data transmision every hour

x

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AEMET Regional Basic Climatological Network

51 climatological stations47 semiautomatic weather station

4 manual observation

Precipitación anual (mm) en Madrid 'Retiro'

0

100

200

300

400

500

600

700

800

Año

Prec

ipita

ción

(mm

)

x

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ASAP Programme

The Spanish ship “Esperanza del Mar” is integrated in the Automated Shipboard Aerological Programme

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LIGHNING LOCATION NETWORK – AEMET

DETECTORS SUBSYTEM

• DETECTOR UNITS DEPLOYMENT – CURRENT SYSTEM• 11 IMPACT-ES and 4 LS-7001

Lightning Detection Units• Mainland Spain and Balearic

Islands• 5 LS-7000 Lightning Detection Units

• Canary Islands

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AEMET RADAR NETWORK

AEMET Radar Network started in 1989ERICSSON (UBS 10301) radars with normal and doppler mode operating in C band

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AEMET RADAR NETWORK

Regional Radar Service. For each radar there are 3 local computers: Radar, Analysis, Display

OS: Linux (RHEL 5.4)Procesors: RCP8-RVP8Control software: IRIS 8.11.0. Products: PPI CAPPI ECHOTOP MAX VIL SRI RAIN. Wind Products: WIND VAD VVP

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AEMET solar radiation and atmospheric composition

observation networks AEMET contribution to:

WMO Global Atmosphere Watch &

Spanish Government Environmental Policies

Acredited with a ISO 9001:2010 since 2006

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Ground Based Radiometric networks

• Broadband VIS, UV and IR

• BREWER spectrophotometer

• CIMEL sun-photometer

• Madrid CRN: calibration facilities, UVA, UVB diffuse, Global-tilt pyranometers, UV-VIS-IR spectro-radiometer, total sky imager…

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The EMEP/GAW/CAMP Network(since 1984)

13 stations to monitor background pollution

The regular measurement programme consists on:• Ten-minute averaged concentration data of

O3, NO, NO2, SO2, and PM10 (four stations) and gaseous Hg (one station) provided by automated analyzers

• Over 100 chemical compounds retrieved manually from analyzers on different sampling periods:

• A wide range of meteorological parameters

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Izaña Observatory GAW global station

(since 1984)

• Located at 2367m a.s.l. in the Tenerife island (The Canary Islands)

• Measurements program: carbon cycle and greenhouse gases (CO2,CH4,CO), ozone (Total Ozone Column, surface ozone, ozonesondes) and related species (stratospheric compounds, N2O and BrO), solar radiation, AOD, aerosol profile, PM-10, PM2.5, PM1 and TSP, aerosol chemistry

• Regional Brewer Calibration Centre for Europe (Brewer triad)

• Master sun-calibration site for PHOTONS sun-photometer network

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One of the AEMET objectives was to increase the observational data in time and space as well as to improve their quality, using a wide range of systems and products.

Quality Assurance and Quality Control procedures are required to ensure that data collected meet standards of reliability and accuracy, that is, that data meet the users’ requirements.

Since 2006 the Integrated System for the Management of Observing Networks (SIGROBS), is in charge of all these matters.

SIGROBS was developed using Open Source Software.

In order to maximize the potential value and benefit of observations from different observation networks, there is a need to integrate the planning, operation, data management, system monitoring, and life cycle support (operation, maintenance, repair) to existing and future observations.

The quality of an observing system can be assessed by comparing the users’ requirements to the ability of the system to fulfil them.

SIGROBS (Integrated System for the Management of Observing

Networks)

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SIGROBS

Manual obs.

Radiosounds

Satellite

Radar Procts.

Ligthning

Hirlam

Ana.

AWS + Q

C0

SOSS + Q

C0

Operational Control of Met Systems

Data around every station

Real time QC1

Data + Flag Temporary Data Base

Non real time QC2

Operations Centre It takes automatic or

manual decisions in real time according to the

procedures.

Auto fault reports

Metadata

SYNOPBUFR

Final Data Base

GTS/MSS

Data + Flag USERS

Other AW

S

Man fault reports

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SIGROBS (Monitoring) SIGROBS verifies that all possible data have been collected. If data are missing, the

application automatically attempts to contact the station in order to retrieve the missing data.

The software used enables to display the status of each station, and disturbances and malfunctions can be seen immediately on the monitor by the colour of the station point.

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SIGROBS (Quality Control) In the course of the automatic tests of the measurements, every value is assigned to a

quality byte. This byte prevents the dissemination or use of bad data. Data are never altered by SIGROBS, that is, the flags supplement but do not alter the data,

and SIGROBS can describe which test has been failed.

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SIGROBS (Fault Reports)

SIGROBS has been equipped with a maintenance tool that is used to monitor the correct functioning of the different observation systems. This tool can generate automatic fault reports when defects in the observation systems are detected.

SIGROBS can generate alarms for failures in the stations, communications or validation steps.

SIGROBS generates fault reports automatically or in a manual manner.

It is possible to request a summary report when necessary.

These reports details data irregularities and other events.

Some events can be sent to technicians automatically.

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SIGROBS (Metadata) Metadata are critical to the success of any integrated data management system. Metadata describing the circumstances of the measurement/observation are particularly important for

data users. They are absolutely essential to ensure that the final data user has no doubt about the conditions in which data have been recorded, gathered, transmitted and processed.

AEMET is establishing standard procedures in order to collect all significant changes made in instrumentation, observing and processing practices, sensor exposure and sitting, sensor failures, etc.

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SIGROBS (Reports and Statistics)

In order to monitor the performance of the observation network, a global index has been defined as data availability minus erroneous data

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Measurement Management System (MMS)

According to the ISO 10012:2003, the objective of a MMS is to manage the risk that measurement equipment and measurement processes could produce incorrect results affecting the quality of an organisation's output.

An effective MMS ensures that measuring equipment and measurement processes are fit for the intended use and it’s important in achieving product quality objectives and managing the risk of incorrect measurement results.

Metrological Confirmation is defined as a set of operations required to ensure that measuring equipment conforms the requirements for its intended use calibration and verification procedures.

AEMET introduced the Metrological Confirmation in the Aeronautic Meteorological Network in 2007, and it has been extended to the whole synoptic network in the early 2013.

AEMET will expand these procedures to all the stations.

Our main goal for 2014 is to include in Metadata all the AEMET records related with the Metrological Confirmation.

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THANK YOU!

ANY QUESTIONS?

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Thank youGraciasKiitos