PARTITIONING RECO DT RESULTS DESCRIPTION This file includes halfhourly Ecosystem Respiration (RECO) estimates and related uncertainty. RECO is estimated using the Lasslop et al. 2010 partitioning method where a NEE=f(GPP; Reco) model is parameterized using daytime measured NEE data. The parameterization of the model is done for each calendar year separately. The meteorological data used to apply the model have been gapfilled using MDS method and the ERA downscaled (consolidated version, see the meteo info file for details) RECO is estimated starting from the 40 different NEE estimates (based on different ustar thresholds, see NEE info document) and for the two different ustar threshold extraction (ustar threshold varying among years and constant ustar in case at least three years of data are present). To correctly understand the meaning of the uncertainty it is suggested to read also the NEE documentation. The quality of the RECO is linked to the quality of the NEE data and for this reason the NEE quality flags (included in the NEE products) should be considered. VARIABLES DEFINITION: LEGEND: HH (half-hourly or hourly), DD (daily), WW (weekly), MM (monthly), YY (yearly) TIMESTAMP_START (YYYYMMDDHHMM): ISO timestamp start of averaging period - short format TIMESTAMP_END (YYYYMMDDHHMM): ISO timestamp end of averaging period - short format DTIME (DDD.DECTOD): Day of year and decimal time of the day RECO_DT_VUT_REF (see temporal resolution for units) Ecosystem Respiration, from Daytime partitioning method, reference selected from RECO versions using a model efficiency approach. Based on corresponding NEE_VUT_XX version HH: (umolCO2 m-2 s-1) DD: calculated from half-hourly data (gC m-2 d-1) WW-MM: average from daily data (gC m-2 d-1) YY: sum from daily data (gC m-2 y-1) RECO_DT_VUT_USTAR50 (see temporal resolution for units) Ecosystem Respiration, from Daytime partitioning method, based on NEE_VUT_USTAR50 HH: (umolCO2 m-2 s-1) DD: calculated from half-hourly data (gC m-2 d-1) WW-MM: average from daily data (gC m-2 d-1) YY: sum from daily data (gC m-2 y-1) RECO_DT_VUT_MEAN (see temporal resolution for units) Ecosystem Respiration, from Daytime partitioning method, average from RECO versions, each from corresponding NEE_VUT_XX version HH: average from 40 half-hourly RECO_DT_VUT_XX (umolCO2 m-2 s-1) DD: average from 40 daily RECO_DT_VUT_XX (gC m-2 d-1) WW: average from 40 weekly RECO_DT_VUT_XX (gC m-2 d-1) MM: average from 40 monthly RECO_DT_VUT_XX (gC m-2 d-1) YY: average from 40 yearly RECO_DT_VUT_XX (gC m-2 y-1) RECO_DT_VUT_SE (see temporal resolution for units) Standard Error for Ecosystem Respiration, calculated as (SD(RECO_DT_VUT_XX) / SQRT(40)) HH: SE from 40 half-hourly RECO_DT_CUT_XX (umolCO2 m-2 s-1) DD: SE from 40 daily RECO_DT_VUT_XX (gC m-2 d-1) WW: SE from 40 weekly RECO_DT_VUT_XX (gC m-2 d-1) MM: SE from 40 monthly RECO_DT_VUT_XX (gC m-2 d-1) YY: SE from 40 yearly RECO_DT_VUT_XX (gC m-2 y-1) RECO_DT_VUT_XX (see temporal resolution for units) Ecosystem Respiration, from Daytime partitioning method, based on corresponding NEE_VUT_XX (with XX = 05, 16, 25, 50, 75, 84, 95) HH: (umolCO2 m-2 s-1) DD: calculated from half-hourly data (gC m-2 d-1) WW-MM: average from daily data (gC m-2 d-1) YY: sum from daily data (gC m-2 y-1) RECO_DT_CUT_REF (see temporal resolution for units) Ecosystem Respiration, from Daytime partitioning method, reference selected from RECO versions using a model efficiency approach. Based on corresponding NEE_CUT_XX version HH: (umolCO2 m-2 s-1) DD: calculated from half-hourly data (gC m-2 d-1) WW-MM: average from daily data (gC m-2 d-1) YY: sum from daily data (gC m-2 y-1) RECO_DT_CUT_USTAR50 (see temporal resolution for units) Ecosystem Respiration, from Daytime partitioning method, based on NEE_CUT_USTAR50 HH: (umolCO2 m-2 s-1) DD: calculated from half-hourly data (gC m-2 d-1) WW-MM: average from daily data (gC m-2 d-1) YY: sum from daily data (gC m-2 y-1) RECO_DT_CUT_MEAN (see temporal resolution for units) Ecosystem Respiration, from Daytime partitioning method, average from RECO versions, each from corresponding NEE_CUT_XX version HH: average from 40 half-hourly RECO_DT_CUT_XX (umolCO2 m-2 s-1) DD: average from 40 daily RECO_DT_CUT_XX (gC m-2 d-1) WW: average from 40 weekly RECO_DT_CUT_XX (gC m-2 d-1) MM: average from 40 monthly RECO_DT_CUT_XX (gC m-2 d-1) YY: average from 40 yearly RECO_DT_CUT_XX (gC m-2 y-1) RECO_DT_CUT_SE (see temporal resolution for units) Standard Error for Ecosystem Respiration, calculated as (SD(RECO_DT_CUT_XX) / SQRT(40)) HH: SE from 40 half-hourly RECO_DT_CUT_XX (umolCO2 m-2 s-1) DD: SE from 40 daily RECO_DT_CUT_XX (gC m-2 d-1) WW: SE from 40 weekly RECO_DT_CUT_XX (gC m-2 d-1) MM: SE from 40 monthly RECO_DT_CUT_XX (gC m-2 d-1) YY: SE from 40 yearly RECO_DT_CUT_XX (gC m-2 y-1) RECO_DT_CUT_XX (see temporal resolution for units) Ecosystem Respiration, from Daytime partitioning method, based on corresponding NEE_CUT_XX (with XX = 05, 16, 25, 50, 75, 84, 95) HH: (umolCO2 m-2 s-1) DD: calculated from half-hourly data (gC m-2 d-1) WW-MM: average from daily data (gC m-2 d-1) YY: sum from daily data (gC m-2 y-1) MODEL EFFICIENCY SELECTION FOR RECO_DT_CUT_REF and RECO_DT_VUT_REF: FAILURE OF THE MODEL PARAMETRIZATION: When not enough data are available to parameterize the model the RECO can not be calculated. This can happen for entire years or for NEE versions filtered with high USTAR thresholds (that remove more data). In this site the partitioning model was not applied in the years: 2007 2008 2009 Model Efficiency selection: The reference RECO has been selected on the basis of the Model Efficiency. Starting from the 40 different RECO estimations (obtained parameterizing the model using 40 NEE versions filtered with different USTAR thresholds) it has been calculated the Model Efficiency between each version and the others 39. The reference RECO has been selected as the one with higher Model Efficiency sum (so the most similar to the others 39). In this dataset have been selected as reference: RECO_DT_CUT_REF obtained parameterizing the model with NEE filtered using the USTAR percentile 11.25 (USTAR value: 0.274042) RECO_DT_VUT_REF obtained for YEAR 1999 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.50295) RECO_DT_VUT_REF obtained for YEAR 2000 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.511667) RECO_DT_VUT_REF obtained for YEAR 2001 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.500569) RECO_DT_VUT_REF obtained for YEAR 2002 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.471071) RECO_DT_VUT_REF obtained for YEAR 2003 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.448667) RECO_DT_VUT_REF obtained for YEAR 2004 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.4425) RECO_DT_VUT_REF obtained for YEAR 2005 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.400567) RECO_DT_VUT_REF obtained for YEAR 2006 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.365889) RECO_DT_VUT_REF obtained for YEAR 2007 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.298) RECO_DT_VUT_REF obtained for YEAR 2008 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0) RECO_DT_VUT_REF obtained for YEAR 2009 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0) RECO_DT_VUT_REF obtained for YEAR 2010 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.2736) RECO_DT_VUT_REF obtained for YEAR 2011 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.320887) RECO_DT_VUT_REF obtained for YEAR 2012 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.363936) RECO_DT_VUT_REF obtained for YEAR 2013 parameterizing the model with NEE filtered using the USTAR percentile 63.75 (USTAR value: 0.386049)