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Operation, data gaps, and data quality of the flux tower network

Operation, data gaps, and data quality of the flux tower network

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Page 1: Operation, data gaps, and data quality of the flux tower network

Operation, data gaps, and data quality of the

flux tower network

Page 2: Operation, data gaps, and data quality of the flux tower network

Caxiuanã Forest 60 X X X X X X X X MPEG

Santarém Prim. F.(km67) 66 X X X X X X X X X X MPEG / UFPA

Santarém Sec. F* (km83) 66 X X X X X X X X X X USP

Sant. Cult. Field (km77) 20 X X X X X X X X X X UFSM / UFPA

Manaus Plat. Prim. F. 55 X X X X X X X X X X INPA

Manaus Down Prim.F. 45 X X X X X X X X X X INPA

Manaus C14 Prim. F. 50 X X INPA

S. G. Cach. Prim. F. 62 X X X X X X X X X X INPA

Ji-Paraná Prim. F.** 63 X X X X X X X X X UNIR / INPA

O. P. Oeste Pastore 10 X X X X X UNIR / INPA

SINOP Cerradão*** 42 X X X X X X UFMG

Bananal I. Swamp F.**** 40 X X X X X X USP / USP L.

C. Cerrado Savana 08 X X X X X UnB / INPA

Operating

Site Height Met Tower Profile Soil Prof. S.Heat Eddy Leader

(m) CO2 H2O Temp RH Wind Humi. Temp Flux Flux

* HDR-GOES *** Sap Flow profile** Neutron Probe Profile **** 2 Boias a 45 cm e 125 cm – Wather Tem (inundation period)

Without equipments (vandalism problems)

Without equipments (transfer equipments to other towers)

Page 3: Operation, data gaps, and data quality of the flux tower network

Site Install Met Tower Profile Soil Prof. S.Heat Eddy Leader

year CO2 H2O Temp RH Wind Humi. Temp Flux Flux

Implementing

Manaus Sec. F.(ZF3) 2007 X X X X X X X X X X INPE/INPA

Site Install Met Tower Profile Soil Prof. S.Heat Eddy Leader

year CO2 H2O Temp RH Wind Humi. Temp Flux Flux

Planning

Mangrove (NE Pará) 2008/2009 X X X X X X X X X X UFPA

Coari Lake (Amazonas) 2009/2010 X X X X X X X X X X Partnership

Urucu P. F. (Amazonas) 2009/2010 X X X X X X X X X X Partnership

Page 4: Operation, data gaps, and data quality of the flux tower network

Caxiuanã Forest ? C/Chp Cht Cht Cht Cht C MPEG

Santarém Prim. F.(km67) ? ? ? ? ? ? ? ? ? I MPEG / UFPA

Santarém Sec. F.* (km83) 2000 C/Chp Cht Cht Cht Cht Cht USP

Sant. Cult. Field (km77) ? ? ? ? ? ? ? ? ? ? UFSM / UFPA

Manaus Plat. Prim. F. 1999 Chp Chp / Ch2 INPA

Manaus Valley Prim.F. 2006 Chp Cht Cht Chp Chp Chp Ch p Chp Cht INPA

Manaus C14 Prim. F. 1994/1999 X X INPA

S. G. Cach. Prim. F. 2004 Ch2 INPA

Ji-Paraná Prim. F. 1999/2004 C/Chp UNIR / INPA

O. P. Oeste Pasture 1999 Chp UNIR / INPA

SINOP Cerradão** 1999 Cht UFMG

Bananal I. Flood. F. 2003 C R R USP / USP L.

C. Cerrado Savana 1999/2003 C UnB / INPA

Operating (problems)

Site Install Met Tower Profile Soil Prof. S.Heat Eddy Leader

year CO2 H2O Temp RH Wind Humi. Temp Flux Flux

C – calibration Chp – Partial ChangeCht – Total Change Ch2 – Rolling ChangeR – Removed I – to re-Install

* HDR-GOES - not-working

** Change Solar Panels + Battery + cabs

Page 5: Operation, data gaps, and data quality of the flux tower network

Caxiuanã Forest ?

Santarém Prim. F.(km67)

Santarém Sec. F. (km83) 2000

Manaus Plat. Prim. F. 1999

Manaus Down Prim.F. 2006

S. G. Cach. Prim. F. 2004

Ji-Paraná Prim. F. 1999/2004

O. P. Oeste Pastore 1999

SINOP Cerradão 1999

Bananal I. Swamp F. 2003

C. Cerrado Savana 1999/2003

Data Gap

Site Install 2007

year J F M A M J J A S O N DObs

All days OKWith some interruptionsWithout data

Line 1 – Low frequency data

Line 2 – High frequency data

Without information

Without information

Tower collapseInto august 2007

Tower collapseInto august 2007

Page 6: Operation, data gaps, and data quality of the flux tower network

Caxiuanã Forest ?

Santarém Prim. F.(km67)

Santarém Sec. F. (km83) 2000

Manaus Plat. Prim. F. 1999

Manaus Down Prim.F. 2006

S. G. Cach. Prim. F. 2004

Ji-Paraná Prim. F. 1999/2004

O. P. Oeste Pastore 1999

SINOP Cerradão 1999

Bananal I. Swamp F. 2003

C. Cerrado Savana 1999/2003

Data Quality

Site Install 2007

year J F M A M J J A S O N DObs

GoodPart goodBad or missing

Line 1 – Low frequency data

Line 2 – High frequency data

Tower collapseInto august 2007

Without information

Without information

Without information

Without information

Tower collapseInto august 2007

Page 7: Operation, data gaps, and data quality of the flux tower network

Post-Field Data Quality Control(Propose)

(Foken et al 2004)Quality Assurance and Quality Control

1. Specification of user requirements2. Specification of the measuring system3. Identification of suitable measuring locations4. Definition of necessary calibrations5. Definition of quality control (QC) – Quality Evaluation6. Corrective actions – short time answer7. Feedback from the user of the data (intranet / Internet)

• LBA Researcher • LBA Students• Other researchers• Other Students• Governmental Institutions• Consortiums (CEOP, Fluxnet etc)

Page 8: Operation, data gaps, and data quality of the flux tower network

Post-Field Data Quality Control(Propose)

First Step (Semi-automatic) In testPre-analisys Protocol

Automaticcollection and transmission

Page 9: Operation, data gaps, and data quality of the flux tower network

Post-Field Data Quality Control(Propose)

Second Step In test(Semi-automatic)

Pre-Analisys Protocol

Send to user

(Reichstein et al 2006)

http

://w

ww

.bgc

-jena

.mpg

.de/

bgc-

mdi

/htm

l/edd

ypro

c/in

dex.

htm

l

Page 10: Operation, data gaps, and data quality of the flux tower network

Post-Field Data Quality Control(Propose)

Second Step (automatic – intelligent Neural Net and algorithm) planningPre-analisys Protocol

Automaticcollection and transmission

Page 11: Operation, data gaps, and data quality of the flux tower network

Post-Field Data Quality Control(Propose)

Third Step (semi and automatic) In testPre-analisys Protocol

Reports to user

0

100

200

300

400

500

600

700

800

900

1000

1 6 11 16 21 26 31 36 41 46 51 56 61 66 71 76 81 86 91 96

time

W m

-2 shortw_in

pira_in

Page 12: Operation, data gaps, and data quality of the flux tower network

Post-Field Data Quality Control(Propose)

Recommendations

1. Strong metadata policy

2. Increase and create more Micrometeoroly Instrumentation Labs

3. Adopt a minimal standard Post-field data quality control protocol

4. Net data transfer (reduce the problems time detection)

5. Contract more MsC and PhD - local Team

6. Support to a reserve equipments and replacement kits program

7. Create a data base to improve and optimize this program