NOTICE -- The LBA-ECO Project website is no longer being supported.  This archive is a snapshot, as it existed in 2013, of the LBA-ECO website, maintained by NASA Goddard Space Flight Center, and now archived at the ORNL DAAC.  Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC.
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Investigation:

CD-32 (Saleska / da Rocha / Artaxo / Nobre / Shimabukuro)

LBA Dataset ID:

CD32_BRAZIL_FLUX_NETWORK

Originator(s):

1. SALESKA, S.R.
2. DA ROCHA, H.R.
3. HUETE, A.R.
      4. NOBRE, A.D.
5. ARTAXO, P.E.
6. SHIMABUKURO, Y.E.

Point(s) of Contact:

ORNL DAAC User Services Office Oak Ridge National Laboratory Oak Ridge, Tennessee 37 (ornldaac@ornl.gov)

Dataset Abstract:

This data product is an assimilation of eddy flux data that was independently produced and generously provided by the PIs of a variety of tower projects in the Amazon of Brazil. The dataset is intended to facilitate integrative studies and data-model synthesis from a common reference point. In accordance with LBA data policy (http://www.lbaeco.org/lbaeco/data/data_poldoc.htm), this data is freely available to all LBA researchers. Note that the data policy also requires that data should be analyzed cooperatively by all scientists involved in obtaining them (policy #6), and further, that: Where data are used for modeling or integrating studies, the scientist collecting the data will be credited appropriately, either by co-authorship or by citation. The data collectors should be informed of publication plans well in advance of submission of a paper, given an opportunity to read the manuscript, and be offered co-authorship. In cases where data from other investigators are a minor contribution to a paper, the data should be referenced by a citation. Users of the data will always have to state the source of the data.
Please note that the availability of this common dataset notwithstanding, the data sharing policy still requires any author or presenter of this data to contact and appropriately credit PIs from individual projects that generated the data used. The necessary contact information is supplied in the Data Citation table below.
LBA project CD-32: Brasil flux network, 2008
da Rocha, H.R., A.O. Manzi, O.M. Cabral, S.R. Saleska, S.D. Miller, M.L. Goulden, S.C. Wofsy, N. R.-Coupe, L.S. Borma, A.D. Nobre, G. Vourlitis, J.S. Nogueira, F.L. Cardoso, B. Kruijt, H. Freitas, C. von Randow, R.G. Aguiar, and J.F. Maia, Patterns of water and heat flux across a biome gradient from tropical forest to savanna in Brazil, Journal of Geophysical Research - Biogeosciences, 114 (G00B12), doi:10.1029/2007JG000640, 2009.
Individual sites Principle Investigators and data references:
K34: Manzi, A., Nobre, A. (INPA, Brazil) [Araujo et al., 2002] K67: Wofsy, S. (Harvard University, USA), Saleska, S. (U. of Arizona, USA), Camargo, A. CENA/USP, Brazil). [Hutyra et al., 2007; Saleska et al., 2003] K83: Goulden M. (UC Irvine, USA), Miller, S. (SUNY, Albany, USA), da Rocha, H. (USP, Brazil). [da Rocha et al., 2004; Goulden et al., 2004; Miller et al., 2004] CAX: Sa, L. (Museo Goeldi), da Rocha, H. (USP, Brazil) [Carswell et al., 2002; Souza-Filho, 2005]
K77: Fitzjarrald, D. (SUNY, Albany , USA) [Sakai et al., 2003] RJA: Manzi, A. (INPA, Brasil), Cardoso, F. (UFR, Brazil.) [Kruijt et al., 2004; von Randow, 2004]. FNS: Waterloo, M.( Vrije Universiteit Amsterdam, The Netherlands), Manzi, A. (INPA, Brazil) [von Randow, 2004]
JAV: da Rocha, H. (USP, Brazil) [Borma et al., 2009] PEG: da Rocha, H. (USP, Brazil) [da Rocha et al., 2002]

Beginning Date:

1999-01-01

Ending Date:

2006-12-31

Metadata Last Updated on:

2013-07-26

Data Status:

Archived

Access Constraints:

PUBLIC

Data Center URL:

http://daac.ornl.gov/

Distribution Contact(s):

ORNL DAAC User Services Office Oak Ridge National Laboratory Oak Ridge, Tennessee 37 (ornldaac@ornl.gov)

Access Instructions:

PUBLIC

Data Access:

IMPORTANT: The LBA-ECO Project website is no longer being supported. Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC. Please follow the fair use guidelines found in the dataset documentation when using or citing LBA data.
Datafile(s):

LBA-ECO CD-32 Flux Tower Network Data Compilation, Brazilian Amazon: 1999-2006:  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1174

Documentation/Other Supporting Documents:

LBA-ECO CD-32 Flux Tower Network Data Compilation, Brazilian Amazon: 1999-2006:  http://daac.ornl.gov/LBA/guides/CD32_Brazil_Flux_Network.html

Citation Information - Other Details:

Saleska, S.R., H.R. da Rocha, A.R. Huete, A.D. Nobre, P. Artaxo, and Y.E. Shimabukuro. 2013. LBA-ECO CD-32 Flux Tower Network Data Compilation, Brazilian Amazon: 1999-2006. Data set. Available on-line [http://daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA http://dx.doi.org/10.3334/ORNLDAAC/1174

Keywords - Theme:

Parameter Topic Term Source Sensor
AIR TEMPERATURE BIOSPHERE TERRESTRIAL ECOSYSTEMS TOWER ANEMOMETER
CARBON DIOXIDE BIOSPHERE TERRESTRIAL ECOSYSTEMS TOWER IRGA (INFRARED GAS ANALYZER)
CARBON DIOXIDE BIOSPHERE TERRESTRIAL ECOSYSTEMS COMPUTER MODEL ANALYSIS
HEAT FLUX BIOSPHERE TERRESTRIAL ECOSYSTEMS COMPUTER MODEL ANALYSIS
NET RADIATION BIOSPHERE TERRESTRIAL ECOSYSTEMS COMPUTER MODEL ANALYSIS
RESPIRATION BIOSPHERE TERRESTRIAL ECOSYSTEMS COMPUTER MODEL ANALYSIS
WIND PROFILES BIOSPHERE TERRESTRIAL ECOSYSTEMS COMPUTER MODEL ANEMOMETER

Uncontrolled Theme Keyword(s):  BRASIL FLUX NETWORK, CARBON DIOXIDE FLUX, EDDY FLUX, FOREST CANOPY, LINEAR INTERPOLATION, NET ECOSYSTEM EXCHANGE, PHOTOSYNTHESIS, SOIL MOISTURE, SOIL TEMPERATURE

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
  SAO PABLO TOCANTINS RONDONIA PARA EASTERN (BELEM) AMAZONAS (MANAUS) PARA WESTERN (SANTAREM) -1.74830 -21.61950 -47.64990 -62.35720

Related Publication(s):

da Rocha, H.R., A.O. Manzi, O.M. Cabral, S.R. Saleska, S.D. Miller, M.L. Goulden, S.C. Wofsy, N. R.-Coupe, L.S. Borma, A.D. Nobre, G. Vourlitis, J.S. Nogueira, F.L. Cardoso, B. Kruijt, H. Freitas, C. von Randow, R.G. Aguiar, and J.F. Maia. 2009. Patterns of water and heat flux across a biome gradient from tropical forest to savanna in Brazil. Journal of Geophysical Research - Biogeosciences, 114 (G00B12), doi:10.1029/2007JG000640.

Saleska, S.R., Didan, K., Huete, A.R., da Rocha, H.R., 2007. Amazon Forests Green-Up During 2005 Drought. Science 318, 612.

Saleska, S.R., Rocha, H.R. da, Kruijt, B., Nobre, A.D., 2009. Ecosystem Carbon Fluxes and Amazonian Forest Metabolism, in: Amazonia and global change. American Geophysical Union, Washington DC.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

Study Area




1. TOC_BAN: Tocantins State, Bananal seasonally flooded forest, mixture of cerrado, cerrado and campo (natural grassland)

2. MAN_K34: Manaus, km 34 tropical forest site

3. STM_K67: Santarem, km67 tropical forest site

4. STM_K77: Santarem, km77 pasture-agriculture site

5. STM_K83: Santarem, km83 selectively logged tropical forest

6. RON_RJA: Rondonia State, Reserva Jaru, tropical dry forest

7. RON_FNS: Rondonia State, Fazenda Nossa Senhora, pasture

8. PA_CAX: Para State, Caxiuana tropical forest

9. SP_PDG: Sao Paulo State, Reserva Pe-de-Gigante (PDG) cerrado






File naming conventions:

SSS_Avg_hour.dat = the base file in each of these archives (with the hourly data),

where SSS is the unique 3-letter code for each site (see below, in parenthesis following site name)




Study sites:

Site: Bananal_Island (BAN) also known as JAV

Longitude: -50.159111 Degrees East Decimal

Latitude: -9.824417 Degrees North Decimal

Altitude: 120.000 m

Measurement Height: 40.0000 m




Site: Manaus Km34 (K34)

Longitude: -60.209297 Degrees East Decimal

Latitude: -02.609097 Degrees North Decimal

Altitude: 130.000 m

Measurement Height: 50.0000 m




Site: Santarem Km67 (K67)

Longitude: -54.958889 Degrees East Decimal

Latitude: -02.856667 Degrees North Decimal

Altitude: 130.000 m

Measurement Height: 63.0000 m




Site: Santarem Km77 (K77)

Longitude: -54.536520 Degrees East Decimal

Latitude: -03.011896 Degrees North Decimal

Altitude: 130.000 m

Measurement Height: 18.0000 m




Site: Santarem Km83 (K83)

Longitude: -54.971435 Degrees East Decimal

Latitude: -03.018029 Degrees North Decimal

Altitude: 130.000 m

Measurement Height: 64.0000 m




Site: Caxiuana (CAX)

Longitude: -51.4589833 Degrees East Decimal

Latitude: -1.719719444 Degrees North Decimal

Altitude: 130.000 m

Measurement Height: 51.5000 m




Site: Reserva Jaru (RJA)

Longitude: -61.930903 Degrees East Decimal

Latitude: -10.083194 Degrees North Decimal

Altitude: 191.000 m

Measurement Height: 60.0000 m




Site: Fazenda Nossa Senhora (FNS)

Longitude: -62.357222 Degrees East Decimal

Latitude: -10.761806 Degrees North Decimal

Altitude: 306.000 m

Measurement Height: 8.5000 m




Site: Reserva Pe-de-Gigante (PEG)

Longitude: -47.649889 Degrees East Decimal

Latitude: -21.619472 Degrees North Decimal

Altitude: 690.000 m

Measurement Height: 21.0000 m




Projection: geographic (lat long)





Temporal Coverage:

The data files for each site are hourly, daily, daily day-time, daily nighttime, monthly, monthly day-time and monthly nighttime, as follows:

1. HOURLY data: SSS_Avg_hour_qaqc.dat (SSS is the unique 3-letter site code). Hour runs from 0 (zero) to 23. Data aggregation interval, i.e., data at 10:00 are from aggregating measurements between 10:00 and 11:00

2. DAILY data: SSS_Avg_day_qaqc.dat. Prec units (mm hr-1): as average

3. DAILY DAY-TIME data: SSS_Avg_day_day_qaqc.dat. Day-time set as from 6:00 to 17:00 local time. Manaus K34 night-time set as from 7:00 to 18:00 local time. Missing if less than 8 hours of data

4. DAILY NIGHT-TIME data: SSS_Avg_day_night_qaqc.dat. Night-time set as from 18:00 to 5:00 local time. Manaus K34 night-time set as from 19:00 to 6:00 local time. Missing if less than 8 hours of data

5. MONTHLY data: SSS_Avg_month_qaqc.dat From daily data. Missing if less than 7 days of data, except prec. Prec units (mm day-1): as average

6. MONTHLY DAY-TIME data: SSS_Avg_month_day_qaqc.dat. Night-time set as from 6:00 to 17:00 local time. Manaus K34 night-time set as from 7:00 to 18:00 local time. From daily data Missing if less than 7 days of data

7. MONTHLY NIGHT-TIME data: SSS_Avg_month_night_qaqc.dat. Night-time set as from 18:00 to 5:00 local time. Manaus K34 night-time set as from 19:00 to 6:00 local time. Calculated from daily data, missing if less than 7 days of data

8. MONTHLY DAILY CYCLE: SSS_Avg_month_cycle.dat. JD set as the first day of the month. Missing if less than 7 days of data. Hour runs from 0 (zero) to 23.





Time series coverage:

BAN: 24-Oct-03 to 8-Dec-06

CAX: 1-Jan-99 to 30-Jul-03

RJA: 23-Mar-99 to 14-Nov-02

K34: 14-Jun-99 to 30-Sep-06

FNS: 4-Feb-99 to 4-Nov-02

PDG: 1-Jan-04 to 31-Dec-06

K77: 1-Jan-00 to 30-Dec-05

K83: 29-Jun-00 to 12-Mar-04

K67: 2-Jan-02 to 23-Jan-06







Parameters or Variables:

Position Abv. Variable Description Units Range

1 YYYY year YYYY 1999-2006

2 JD julian day DDD 0-366

3 HR hour HH 0-23

4 MI minutes MM 0-0

5 ta AWS Air temperature - oC 0-40

6 taed Sonic temperature - oC 0-40

7 wd Wind direction Cup - degrees 0-360

8 wded Wind Direction Sonic - degrees 0-360

9 pressed Pressure eddy system - KPa 90-110

10 press Pressure aws - KPa 40-110

11 rg Global Incident Radiation - W m-2 0-1200

12 rr Global Reflected Radiation - W m-2 0-800

13 par PAR Incident Radiation - umol photons m-2 s-1 0-2600

14 rpar PAR Reflected Radiation - umol photons m-2 s-1 0-1300

15 Rn Net Radiation - W m-2 -100-1010

16 FG Soil Heat Flux - W m-2 -26-32

17 wsed Wind speed Cup - m s-1 0-19

18 ws Wind Speed Sonic - m s-1 0-26

19 H Sensible Heat Flux - W m-2 -100-600

20 Hraw Sensible Heat Flux Raw - W m-2 -100-600

21 LE Latent Heat Flux - W m-2 -100-1000

22 Leraw Latent Heat Flux Raw - W m-2 -100-1000

23 Fc CO2 Turbulent Flux - umol CO2 m-2 s-1 -60-70

24 Fcraw CO2 Turbulent Flux Raw - umol CO2 m-2 s-1 -60-70

25 co2 CO2 concentration IRGA - ppm 140 700

26 sco2 Storage FLUX - umol Co2 m-2 s-1 -90 40

27 NEE Net Ecosystem Exchange of CO2 - umol Co2 m-2 s-1 -70-70

28 NEEf Filtered NEE - umol Co2 m-2 s-1 -70-70

29 mrs Soil respiration - umol Co2 m-2 s-1 -9999--9999

30 ust Friction velocity - m s-1 0.00-2.00

31 rh Relativy Humidity - % 10-130

32 prec precipitation - mm 0-80

33 h2o h2o concentration IRGA - mmol/mol 2-80

34 Fh2o Rate of vertical transf de H2O mmols m-2 s-1 -15.00-20.00

35 U Zonal Wind Cup - m s-1 -15.00-20.00

36 Ued Zonal Wind Sonic - m s-1 -10-13

37 V Meridional CupWind - m s-1 -10-15

38 Ved Meridional Sonic Wind - m s-1 -30-10

39 ee Vapour pressure - KPa 0-20

40 ees Saturation vapour pressure - KPa 0-13

41 dpt Dew point temperature - oC -30-60

42 tsavg Avg Soil Temperature - oC 5-40

43 eqtemp Equivalent Temperature - oC -9999--9999

44 abshu Absolute Humidity - g m-3 -9999--9999

45 slopee Slope of Saturation Vapor Pressure - KPa oC -1 -9999--9999

46 radtop Hourly Theoretical Radiation - W m -2 -9999--9999

47 rgs long wave radiation in - W m -2 0-1200

48 rgsout long wave radiation out - W m -2 0-200

49 rgl short wave radiation in - W m -2 0-600

50 rglout short wave radiation out - W m -2 0-600

51 stdW Standart Dev Vertical Wind - m s-1 -9999--9999

52 ang Rotation Angle - degrees -9999--9999

53 Tau Rate of vertical tranf. of momentum Kg m-2 s-1 -9999--9999

54 zl Atmospheric stability parameter - -9999--9999

55 tprof1 Canopy temperature profile - oC 10-50

56 tprof2 Canopy temperature profile - oC 10-50

57 tprof3 Canopy temperature profile - oC 10-50

58 tprof4 Canopy temperature profile - oC 10-50

59 tprof5 Canopy temperature profile - oC 10-50

60 tprof6 Canopy temperature profile - oC 10-50

61 tprof7 Canopy temperature profile - oC 10-50

62 tprof8 Canopy temperature profile - oC 10-50

63 tprof9 Canopy temperature profile - oC 10-50

64 tprof10 Canopy temperature profile - oC 10-50

65 avgprofT Average Profile Temperature - oC 10-50

66 msoil1 soil humidity profile - m3 m-3 0-5

67 msoil2 soil humidity profile - m3 m-3 0-5

68 msoil3 soil humidity profile - m3 m-3 0-5

69 msoil4 soil humidity profile - m3 m-3 0-5

70 msoil5 soil humidity profile - m3 m-3 0-5

71 msoil6 soil humidity profile - m3 m-3 0-5

72 msoil7 soil humidity profile - m3 m-3 0-5

73 msoil8 soil humidity profile - m3 m-3 0-5

74 msoil9 soil humidity profile - m3 m-3 0-5

75 msoil10 soil humidity profile - m3 m-3 0-5

76 totalteta Total H20 in the soil - m3 m-3 0-5

77 pco2_1 CO2 concentration profile - ppm 200-600

78 pco2_2 CO2 concentration profile - ppm 200-600

79 pco2_3 CO2 concentration profile - ppm 200-600

80 pco2_4 CO2 concentration profile - ppm 200-600

81 pco2_5 CO2 concentration profile - ppm 200-600

82 pco2_6 CO2 concentration profile - ppm 200-600

83 pco2_7 CO2 concentration profile - ppm 200-600

84 pco2_8 CO2 concentration profile - ppm 200-600

85 pco2_9 CO2 concentration profile - ppm 200-600

86 pco2_10 CO2 concentration profile - ppm 200-600

87 avgsto Average Storage - ppm 200-600

88 H2o1 H20 concentration profile - mmol/mol 10-85

89 H2o2 H20 concentration profile - mmol/mol 10-85

90 H2o3 H20 concentration profile - mmol/mol 10-85

91 H2o4 H20 concentration profile - mmol/mol 10-85

92 H2o5 H20 concentration profile - mmol/mol 10-85

93 H2o6 H20 concentration profile - mmol/mol 10-85

94 H2o7 H20 concentration profile - mmol/mol 10-85

95 H2o8 H20 concentration profile - mmol/mol 10-85

96 H2o9 H20 concentration profile - mmol/mol 10-85

97 H2o10 H20 concentration profile - mmol/mol 10-85

98 avgprofW Average H20 profile - mmol/mol 10-85

99 Wind1 Wind profile - m s-1 0-25

100 Wind2 Wind profile - m s-1 0-25

101 Wind3 Wind profile - m s-1 0-25

102 Wind4 Wind profile - m s-1 0-25

103 Wind5 Wind profile - m s-1 0-25

104 Wavg Average wind profile - m s-1 0-25

105 tsoil1 Soil Temperature profile - oC 5-40

106 tsoil2 Soil Temperature profile - oC 5-40

107 tsoil3 Soil Temperature profile - oC 5-40

108 tsoil4 Soil Temperature profile - oC 5-40

109 tsoil5 Soil Temperature profile - oC 5-40



Missing Value: -9999.00





Data Organization

SSS_Avg_hour.dat = the base file in each of these archives (with the hourly data)

(where SSS is the unique 3-letter site code = the second 3 letters in the archive file)


Example data records for PEG (Pe-de-Gigante):

year day hour time ta taed wd wded pressed press rg rr par rpar Rn FG wsed ws H Hraw LE Leraw Fc fcraw co2 sco2 NEE NEEf mrs ust rh prec h2o Fh2o U Ued V Ved ee ees dpt tsavg eqtemp abshu slopee radtop rgs rgsout rgl rglout stdW ang Tau zl tprof1 tprof2 tprof3 tprof4 tprof5 tprof6 tprof7 tprof8 tprof9 tprof10 avgprofT msoil1 msoil2 msoil3 msoil4 msoil5 msoil6 msoil7 msoil8 msoil9 msoil10 totaltet pco2_1 pco2_2 pco2_3 pco2_4 pco2_5 pco2_6 pco2_7 pco2_8 pco2_9 pco2_10 avgsto H2o1 H2o2 H2o3 H2o4 H2o5 H2o6 H2o7 H2o8 H2o9 H2o10 avgprofW Wind1 Wind2 Wind3 Wind4 Wind5 WAvg tsoil1 tsoil2 tsoil3 tsoil4 tsoil5

2001 1 1 0 20.1517 -9999.0000 126.3167 -9999.0000 0.0000 931.0000 0.0000 0.0000 -9999.0000 -9999.0000 -35.4300 -9999.0000 -9999.0000 3.6435 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 89.8667 0.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 2.1202 2.3593 0.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 0.0183 0.1459 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 0.0000

2001 1 2 0 19.4517 -9999.0000 128.1500 -9999.0000 0.0000 930.1667 0.0000 0.0000 -9999.0000 -9999.0000 -34.6067 -9999.0000 -9999.0000 4.6710 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 90.7334 0.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 2.0496 2.2590 0.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 0.0128 0.0956 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 0.0000

2001 1 3 0 19.1334 -9999.0000 123.8334 -9999.0000 0.0000 930.0000 0.0000 0.0000 -9999.0000 -9999.0000 -34.5416 -9999.0000 -9999.0000 4.9690 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 90.8166 0.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 2.0112 2.2146 0.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 0.1110 18.1300 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 0.0000

2001 1 4 0 18.8684 -9999.0000 117.4500 -9999.0000 0.0000 930.0000 0.0000 0.0000 -9999.0000 -9999.0000 -32.0266 -9999.0000 -9999.0000 4.3299 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 91.5000 0.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 1.9931 2.1782 0.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 -9999.0000 0.0000

Data Application and Derivation:

Typical Application of Data

This data product is an assimilation of eddy flux data that was independently produced and generously provided by the PIs of a variety of tower projects in the Amazon of Brazil. This integrated dataset is intended to facilitate integrative studies and data-model synthesis from a common reference point.




Please note that the availability of this common dataset notwithstanding, the LBA data sharing policy (/lbaeco/data/data_poldoc.htm) still requires any author or presenter of this data to contact and appropriately credit PIs from individual projects that generated the data used. The necessary contact information and references (in brackets) are supplied in the table below.





K34: Manzi, A., Nobre, A. (INPA, Brazil) [Araujo et al., 2002]


K67: Wofsy, S. (Harvard University, USA), Saleska, S. (U. of Arizona, USA), Camargo, A. CENA/USP, Brazil). Hutyra et al., 2007; Saleska et al., 2003]


K83: Goulden M. (UC Irvine, USA), Miller, S. (SUNY, Albany, USA), da Rocha, H. (USP, Brazil). [da Rocha et al., 2004; Goulden et al., 2004; Miller et al., 2004]


K77: Fitzjarrald, D. (SUNY, Albany , USA) [Sakai et al., 2003]


RJA: Manzi, A. (INPA, Brasil), Cardoso, F. (UFR, Brazil.) [Kruijt et al., 2004; von Randow, 2004].


FNS: Waterloo, M.( Vrije Universiteit Amsterdam, The Netherlands), Manzi, A. (INPA, Brazil) [von Randow, 2004]


JAV: Da Rocha, H. (USP, Brazil) [Borma et al., 2009]


PEG: Da Rocha, H. (USP, Brazil) [da Roca et al., 2002]




Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Two versions of the data are provided, original time series (Version_x.x) and a quality controlled (QAQC) version (Version_x.x_qaqc), where at the QAQC version we test for:

Outliers

Comparison between AWS and Eddy Sensors, it at same height, i.e.: wind speed (acceptable variation is two standard deviation units form the linear regression)

Unresponsive sensor

Please refer to SITE_qaqc_merge.pdf plots to review the flagged and removed data

Process Description:

Data Acquisition Materials and Methods:

Post-processed data (MATLAB R2007b code at the University of Arizona)

References:


Araujo, A.C., A.D. Nobre, B. Kruijt, J.A. Elbers, R. Dallarosa, P. Stefani, C. von Randow, A.O. Manzi, A.D. Culf, J.H.C. Gash, R. Valentini, and P. Kabat, Comparative measurements of carbon dioxide fluxes from two nearby towers in a central Amazonian rainforest: The Manaus LBA site, Journal of Geophysical Research, 107 (D20), doi:10.1029/2001JD000676, 2002.




Borma, L.S., H.R. da Rocha, and O.M.R. Cabral, Atmosphere and hydrological controls of the evapotranspiration over a floodplain forest in the Bananal Island region, Amazonia., Journal of Geophysical Research - Biogeosciences, 114, G01003, doi:10.1029/2007JG000641, 2009.




Carswell, F.E., A.L. Costa, M. Palheta, Y. Malhi, P. Meir, J.D.R. Costa, M.D. Ruivo, L.D.M. Leal, J.M.N. Costa, R.J. Clement, and J. Grace, Seasonality in CO2 and H2O flux at an eastern Amazonian rain forest, Journal of Geophysical Research, 107 (D20), 8076, doi:10.1029/2000JD000284, 2002.




da Rocha, H., H.C. Freitas, R. Rosolem, R.I.N. Juárez, R.N. Tannus, M.A. Ligo, O.M.R. Cabral, and M.A.F. Silva Dias, Measurements of CO2 exchange over a woodland savanna (Cerrado Sensu stricto) in southeast Brasil, Biota Neotropica, 2 (1), 2002.




da Rocha, H.R., M.L. Goulden, S.D. Miller, M.C. Menton, L.D.V.O. Pinto, H.C. Freitas, and A.M.S. Figueira, Seasonality of water and heat fluxes over a tropical forest in eastern Amazonia, Ecological Applications, 14 (4), S22-S32, 2004.

Goulden, M.L., S.D. Miller, H.R. da Rocha, M.C. Menton, H.C. de Freitas, A.M.E.S. Figueira, and C.A.D. de Sousa, Diel and seasonal patterns of tropical forest CO2 exchange, Ecological Applications, 14 (4), S42-55, 2004.




Hutyra, L.R., J.W. Munger, S.R. Saleska, E. Gottlieb, B.C. Daube, A.L. Dunn, D.F. Amaral, P.B.d. Camargo, and S.C. Wofsy, Seasonal controls on the exchange of carbon and water in an Amazonian rain forest, Journal of Geophysical Research, 112, G03008, 2007.




Kruijt, B., J.A. Elbers, C. von Randow, A.C. Araújo, P.J. Oliveira, A. Culf, A.O. Manzi, A.D. Nobre, P. Kabat, and E.J. Moors, The robustness of eddy correlation fluxes for Amazon rain forest conditions, Ecological Applications, 14 (sp4), 101â�“113, 2004.




Miller, S.D., M.L. Goulden, M.C. Menton, H.R.d. Rocha, H.C. Freitas, A.M.S. Figueira, and C.A.D. Sousa, Biometric and micrometeorological measurements of tropical forest carbon balance, Ecological Applications, 14 (4), S114-S126, 2004.




Sakai, R.K., D.R. Fitzjarrald, O.L.L. Moraes, R.M. Staebler, O.C. Acevedo, M.J. Czikowsky, R. Silva, E. Brait, and V. Miranda, Land-use change effects on local energy, water and carbon balances in an Amazonian agricultural field, Global Change Biology, 10 (5), 895-907, 2003.




Saleska, S.R., S.D. Miller, D.M. Matross, M.L. Goulden, S.C. Wofsy, H.R. da Rocha, P.B. de Camargo, P. Crill, B.C. Daube, H.C. de Freitas, L. Hutyra, M. Keller, V. Kirchhoff, M. Menton, J.W. Munger, E.H. Pyle, A.H. Rice, and H. Silva, Carbon in Amazon forests: Unexpected seasonal fluxes and disturbance-induced losses, Science, 302, 1554�1557, 2003.




Souza-Filho, J.D., A. Ribeiro, M. H. Costa, and J. C. Cohen, Control mechanisms of the seasonal variation of transpiration in a northeast Amazonia tropical rainforest (in Portuguese), Acta Amazonica, 35 (2), 223-229, 2005.




von Randow, C., A.O. Manzi, B. Kruijt, P.J. de Oliveira, F.B. Zanchi, R.L. Silva, M.G. Hodnett, J.H.C. Gash, J.A. Elbers, M.J. Waterloo, F.L. Cardoso, and P. Kabat, Comparative measurements and seasonal variations in energy and carbon exchange over forest and pasture in South West Amazonia, Theoretical and Applied Climatology, 78 (1-3), 5-26, 2004

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