AmeriFlux Meteorology, Energy, Soil and Carbon Flux Data (67 flux towers) 05/10/2009 ************************************************************************************************* DESCRIPTIONS: This data set includes both semi-hourly and aggregated daily gap-filled flux tower measurments for meteorology, energy, soil and carbon fluxes. The semi-hourly data were directly from the AmeriFlux Level4 data set (http://public.ornl.gov/ameriflux/index.html), while the daily data were processed by Ke Zhang at NTSG, The University of Montana,based on the original semi-hourly AmeriFlx Level4 data. According to the AmeriFlux Fair-Use Data Agreement, the AmeriFlux data are freely avaible. However, the users have to inform the appropriate AmeriFlux scientist(s) of how you intend to use the data and of any publication plans. It is the users' responsibilties to obey the data agreement. ************************************************************************************************** SITE LOCATIONS & DATA AVAILABILITY: There are 67 sites in this data set. The full names and detailed information of each site can be found in Sites_locations_PIs.xls. Site Name BY EY Lat Lon "BRSa1" 2002 2004 -2.856666667 -54.95888889 "BRSa3" 2000 2003 -3.01802927 -54.97143509 "CANS1" 2002 2005 55.87916667 -98.48388889 "CANS2" 2001 2005 55.90583333 -98.52472222 "CANS3" 2001 2005 55.91166667 -98.38222222 "CANS4" 2002 2004 55.91166667 -98.38222222 "CANS5" 2001 2005 55.86305556 -98.485 "CANS6" 2001 2005 55.91666667 -98.96444444 "CANS7" 2002 2005 56.63583333 -99.94833333 "USARb" 2005 2006 35.54974 -98.04023 "USARc" 2005 2006 35.54649 -98.04006 "USARM" 2003 2006 36.6058 -97.4888 "USAtq" 1999 2006 70.46961111 -157.4089444 "USAud" 2002 2006 31.5907 -110.5092 "USBar" 2004 2006 44.06463967 -71.28807685 "USBkg" 2004 2006 44.34529 -96.83617 "USBlo" 1999 2006 38.89525 -120.63275 "USBo1" 1996 2007 40.0062 -88.2904 "USBrw" 1999 2001 71.32253 -156.626 "USDix" 2005 2006 39.97122889 -74.43455028 "USFPe" 2000 2006 48.3077 -105.1019 "USFR2" 2004 2006 29.94948932 -97.99622779 "USFuf" 2005 2007 35.08973056 -111.7624972 "USFwf" 2005 2007 35.44557222 -111.7718444 "USGoo" 2002 2006 34.2547 -89.8735 "USHa1" 1992 2006 42.53775556 -72.17147778 "USHo1" 1996 2004 45.20407 -68.74027778 "USHo2" 1999 2004 45.20912 -68.747 "USIvo" 2003 2006 68.48647222 -155.7503056 "USKS1" 2002 2002 28.45830448 -80.67090255 "USKS2" 2000 2006 28.60857739 -80.67153396 "USLos" 2001 2005 46.08268 -89.97919 "USLPH" 2002 2005 42.54186111 -72.18496389 "USMe1" 2004 2005 44.5794 -121.5 "USMe2" 2002 2007 44.4523 -121.5574 "USMe3" 2004 2005 44.3154 -121.6078 "USMe4" 1996 1999 44.4992 -121.6224 "USMe5" 2000 2002 44.43718949 -121.566756 "USMMS" 1999 2006 39.32315 -86.413139 "USMOz" 2004 2007 38.74411 -92.200009 "USNC1" 2005 2006 35.81147 -76.71147 "USNC2" 2005 2006 35.8031 -76.66791 "USNe1" 2001 2006 41.165056 -96.476638 "USNe2" 2001 2006 41.164871 -96.4701 "USNe3" 2001 2006 41.179667 -96.439646 "USNR1" 1998 2007 40.03287778 -105.5464028 "USOho" 2004 2005 41.55454 -83.84376 "USRo1" 2004 2006 44.71431 -93.0898 "USRo3" 2004 2006 44.7217122 -93.08933906 "USSO2" 1997 1999 33.37388889 -116.6228889 "USSO3" 1997 1998 33.37719444 -116.6226944 "USSO4" 2004 2006 33.38444444 -116.6402611 "USSP1" 2001 2006 29.73806667 -82.21876667 "USSP2" 1998 2004 29.7648 -82.24481667 "USSP3" 1999 2004 29.75476667 -82.16328333 "USSRM" 2004 2006 31.82143 -110.86611 "USSyv" 2001 2006 46.242017 -89.34765 "USTon" 2001 2007 38.4316 -120.966 "USUMB" 2001 2006 45.55984 -84.71382 "USVar" 2001 2007 38.40666667 -120.9507333 "USWBW" 1995 1999 35.95876667 -84.28743333 "USWCr" 1999 2006 45.80592667 -90.07985917 "USWi4" 2002 2005 46.73933333 -91.16625 "USWi9" 2004 2005 46.61877778 -91.08144444 "USWkg" 2004 2007 31.736527 -109.94188 "USWlr" 2001 2004 37.52083333 -96.855 "USWrc" 1998 2006 45.82048889 -121.9519111 ************************************************************************************************* DAILY DATASET VARIABLES DESCRIPTION: /* Meteorology */ tmax /*daily maximum temperature (degrees)*/ tmin /*daily minimum temperature (degrees)*/ tavg /*daily average temperature (degrees)*/ ta_fraction /* fraction of good data for air temperature records*/ vpd /*vapor pressure deficit (Pa)*/ vpd_fraction /* fraction of good data for VPD*/ prcp /*precipitation (mm) */ /* Soil */ ts /*soil temperature*/ ts_fraction /* fraction of good data for Ts*/ swc /*soil water content(%vol)*/ /* Energy */ Rg /* global radiation (W/m2)*/ Rg_fraction /* fraction of good data for Rg*/ LE /*latent heat (W/m2)*/ LE_fraction /* fraction of good data for LE*/ H /*sensible heat (W/m2)*/ H_fraction /* fraction of good data for H*/ /* Carbon flux */ Reco_st /* Estimated ecosystem respiration according to the short-term temperature response of night-time fluxes based on NEE_st (Refer to Reichstein et al. 2005 Global Change Biology for more information) [gC m-2 day-1]*/ Reco_or /*Estimated ecosystem respiration according to the short-term temperature response of night-time fluxes based on NEE_or (Refer to Reichstein et al. 2005 Global Change Biology for more information) [umolCO2 m-2 s-1]*/ NEE_st_MDS /*NEE_st filled using the Marginal Distribution Sampling method (Refer to Reichstein et al. 2005 Global Change Biology for more information) [gC m-2 day-1]*/ NEE_st_MDS_fraction /*fraction of good data for NEE_st_MDS*/ GPP_st_MDS /* Gross Primary Production calculated as GPP_st_MDS = Reco_st - NEE_st_MDS [gC m-2 day-1]*/ NEE_or_MDS /* NEE_or filled using the Marginal Distribution Sampling method [gC m-2 day-1]*/ NEE_or_MDS_fraction /*fraction of good data for NEE_Or_MDS*/ GPP_or_MDS /* GPP_or_MDS = Reco_or - NEE_or_MDS [gC m-2 day-1]*/ NEE_st_ANN /* NEE_st filled using the Artificial Neural Network method (Refer to Papale et al. 2003 Global Change Biology for more information [gC m-2 day-1]*/ NEE_st_ANN_fraction /*fraction of good data for NEE_st_fraction*/ GPP_st_ANN /*Gross Primary Production calculated as GPP_st_ ANN = Reco_st - NEE_st_ ANN [gC m-2 day-1]*/ NEE_or_ANN /*NEE_or filled using the Artificial Neural Network method (Refer to Papale et al. 2003 Global Change Biology) [gC m-2 day-1]*/ NEE_or_ANN_fraction /*fraction of good data fro NEE_or_ANN*/ GPP_or_ANN /* Gross Primary Production calculated as GPP_or_ ANN = Reco_or - NEE_or_ ANN [gC m-2 day-1]*/ ************************************************************************************************* HALF HOURLY DATASET VARIABLES DESCRIPTION: - Month: from 1 to 12 - Day: day of the month - Hour: from 0 to 23.5, indicates the end of the half hour of measurement - DoY: decimal day of the year - Rg_f: global radiation filled [W m-2] - Rg_fqc: global radiation quality flags: 0 = original, 1 = category A (most reliable), 2 = category B (medium), 3 = category C (least reliable). (Refer to Reichstein et al. 2005 Global Change Biology for more information) - Ta_f: air temperature filled [degree] - Ta_fqc: air temperature quality flags: 0 = original, 1 = category A (most reliable), 2 = category B (medium), 3 = category C (least reliable). (Refer to Reichstein et al. 2005 Global Change Biology for more information) - VPD_f: vapour pressure deficit [hPa] - VPD_fqc: vapour pressure deficit quality flags: 0 = original, 1 = category A (most reliable), 2 = category B (medium), 3 = category C (least reliable). (Refer to Reichstein et al. 2005 Global Change Biology for more information) - Ts_f: soil temperature filled [degree] - Ts_fqc: soil temperature quality flags: 0 = original, 1 = category A (most reliable), 2 = category B (medium), 3 = category C (least reliable). (Refer to Reichstein et al. 2005 Global Change Biology for more information) - Precip: precipitation [mm] - SWC: soil water content [%vol] - H_f: sensible heat flux filled [W m-2] - H_fqc: sensible heat flux quality flags: 0 = original, 1 = category A (most reliable), 2 = category B (medium), 3 = category C (least reliable). (Refer to Reichstein et al. 2005 Global Change Biology for more information) - LE_f: latent heat flux filled [W m-2] - LE_fqc: latent heat flux quality flags: 0 = original, 1 = category A (most reliable), 2 = category B (medium), 3 = category C (least reliable). (Refer to Reichstein et al. 2005 Global Change Biology for more information) - qf_NEE_st: fluxes quality flags as defined in the Level3 product - qf_NEE_or: fluxes quality flags as defined in the Level3 product - Reco_st: Estimated ecosystem respiration according to the short-term temperature response of night-time fluxes based on NEE_st (Refer to Reichstein et al. 2005 Global Change Biology for more information) [umolCO2 m-2 s-1] - Reco_or: Estimated ecosystem respiration according to the short-term temperature response of night-time fluxes based on NEE_or (Refer to Reichstein et al. 2005 Global Change Biology for more information) [umolCO2 m-2 s-1] - NEE_st_fMDS: NEE_st filled using the Marginal Distribution Sampling method (Refer to Reichstein et al. 2005 Global Change Biology for more information) [umolCO2 m-2 s-1] - NEE_st_fMDSqc: NEE_st_fMDS quality flags: 0 = original, 1 = category A (most reliable), 2 = category B (medium), 3 = category C (least reliable). (Refer to Reichstein et al. 2005 Global Change Biology for more information) - GPP_st_MDS: Gross Primary Production calculated as GPP_st_MDS = Reco_st - NEE_st_MDS [umolCO2 m-2 s-1] - NEE_or_fMDS: NEE_or filled using the Marginal Distribution Sampling method (Refer to Reichstein et al. 2005 Global Change Biology for more information) [umolCO2 m-2 s-1] - NEE_or_fMDSqc: NEE_or_fMDS quality flags: 0 = original, 1 = category A (most reliable), 2 = category B (medium), 3 = category C (least reliable). (Refer to Reichstein et al. 2005 Global Change Biology for more information) - GPP_or_MDS: Gross Primary Production calculated as GPP_or_MDS = Reco_or - NEE_or_MDS [umolCO2 m-2 s-1] - NEE_st_fANN: NEE_st filled using the Artificial Neural Network method (Refer to Papale et al. 2003 Global Change Biology for more information and to the Other Information section in this document) [umolCO2 m-2 s-1] - NEE_st_fANNqc: NEE_st_fANN quality flags: 0 = original, 1 = filled using original meteorological inputs or filled with qc=1, 2 = filled using filled meteorological inputs with qc=2 or 3, 3 = not filled using ANN due to one or more input missed but filled with the MDS method - GPP_st_ANN: Gross Primary Production calculated as GPP_st_ ANN = Reco_st - NEE_st_ ANN [umolCO2 m-2 s-1] - NEE_or_f ANN: NEE_or filled using the Artificial Neural Network method (Refer to Papale et al. 2003 Global Change Biology for more information and to the Other Information section in this document) [umolCO2 m-2 s-1] - NEE_or_f ANNqc: : NEE_or_fANN quality flags: 0 = original, 1 = filled using original meteorological inputs or filled with qc=1, 2 = filled using filled meteorological inputs with qc=2 or 3, 3 = not filled using ANN due to one or more input missed but filled with the MDS method - GPP_or_ ANN: Gross Primary Production calculated as GPP_or_ ANN = Reco_or - NEE_or_ ANN [umolCO2 m-2 s-1] **********************************************************************************************************************