ENERGY PROCESSING RESULTS DESCRIPTION This file includes weekly gapfilled Latent Heat (LE) and Sensible Heat (H), an estimation of their random uncertainty, and the version of fluxes where a correction for the energy balance closure has been applied, including estimates of the uncertainties in the corrected fluxes. The corrected fluxes are obtained multiplying the original, gapfilled LE and H data by an energy balance closure correction factor (EBC_CF), which is calculated starting from the half-hours where all the components needed to calculate the energy balance closure were available -- measured Net Radiation and Soil Heat Flux, and measured or good quality gapfilled Latent Heat and Sensible Heat. The correction factor and corrected fluxes are obtained using three hierarchical methods. If ECB_CF Method 1 fails (i.e., less than at least 50% of the half-hours had all four components measured in that week), ECB_CF Method 2 is tried. If no ECB_CF is available for being averaged in ECB_CF Method 2 (e.g., in case of long gaps), the ECB_CF Method 3 is used. - ECB_CF Method 1: ECB_CF is calculated for each week as (NETRAD - G) / (H + LE), using the weekly averages of these variables. - ECB_CF Method 2: EBC_CF is calculated as the average of the EBC_CF (obtained with method 1) of a moving window of +/- 2 weeks. - ECB_CF Method 3: ECB_CF is calculated as the average of the EBC_CF in a moving window of +/- 2 weeks in the same week from previous and next years. VARIABLES DEFINITION: LEGEND: HH (half-hourly or hourly), DD (daily), WW (weekly), MM (monthly), YY (yearly) TIMESTAMP_START (YYYYMMDD): ISO timestamp - short format, first day of the aggregated WEEK TIMESTAMP_END (YYYYMMDD): ISO timestamp - short format, last day of the aggregated WEEK WEEK (WW): Week of the year, from 1 to 52, last week including all days needed to complete the year LE_F_MDS (W m-2) Latent heat flux, gapfilled using MDS method DD: average from half-hourly data WW-YY: average from daily data LE_F_MDS_QC (adimensional) Quality flag for LE_F_MDS, LE_CORR, LE_CORR25, and LE_CORR75 HH: 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor DD: fraction between 0-1, indicating percentage of measured and good quality gapfill data WW-YY: fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) LE_CORR (W m-2) Latent heat flux, corrected LE_F_MDS by energy balance closure correction factor DD: average from half-hourly data WW-YY: average from daily data LE_CORR25 (W m-2) Latent heat flux, corrected LE_F_MDS by energy balance closure correction factor, 25th percentile DD: average from half-hourly data WW-YY: not produced LE_CORR75 (W m-2) Latent heat flux, corrected LE_F_MDS by energy balance closure correction factor, 75th percentile DD: average from half-hourly data WW-YY: not produced LE_RANDUNC (W m-2) Random uncertainty of LE, from measured only data HH: uses only data point where LE_F_MDS_QC is 0 and two hierarchical methods (see header and LE_RANDUNC_METHOD) DD-YY: from random uncertainty of individual half-hours (rand(i)) = [SQRT(SUM(rand(i)^2)) / n], where n is the number of half-hours used LE_RANDUNC_METHOD (adimensional) Method used to estimate the random uncertainty of LE HH: 1 = RANDUNC Method 1 (direct SD method), 2 = RANDUNC Method 2 (median SD method) DD-YY: not produced LE_RANDUNC_N (adimensional) Number of half-hour data points used to estimate the random uncertainty of LE DD-YY: not produced LE_CORR_JOINTUNC (W m-2) Joint uncertainty estimation for LE HH-DD: [SQRT(LE_RANDUNC^2 + ((LE_CORR75 - LE_CORR25) / 1.349)^2)] WW-YY: not produced H_F_MDS (W m-2) Sensible heat flux, gapfilled using MDS method DD: average from half-hourly data WW-YY: average from daily data H_F_MDS_QC (adimensional) Quality flag for H_F_MDS, H_CORR, H_CORR25, and H_CORR75 HH: 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor DD: fraction between 0-1, indicating percentage of measured and good quality gapfill data WW-YY: fraction between 0-1, indicating percentage of measured and good quality gapfill data (average from daily data) H_CORR (W m-2) Sensible heat flux, corrected H_F_MDS by energy balance closure correction factor DD: average from half-hourly data WW-YY: average from daily data H_CORR25 (W m-2) Sensible heat flux, corrected H_F_MDS by energy balance closure correction factor, 25th percentile DD: average from half-hourly data WW-YY: not produced H_CORR75 (W m-2) Sensible heat flux, corrected H_F_MDS by energy balance closure correction factor, 75th percentile DD: average from half-hourly data WW-YY: not produced H_RANDUNC (W m-2) Random uncertainty of H, from measured only data HH: uses only data point where H_F_MDS_QC is 0 and two hierarchical methods (see header and H_RANDUNC_METHOD) DD-YY: from random uncertainty of individual half-hours (rand(i)) = [SQRT(SUM(rand(i)^2)) / n], where n is the number of half-hours used H_RANDUNC_METHOD (adimensional) Method used to estimate the random uncertainty of H HH: 1 = RANDUNC Method 1 (direct SD method), 2 = RANDUNC Method 2 (median SD method) DD-YY: not produced H_RANDUNC_N (adimensional) Number of half-hour data points used to estimate the random uncertainty of H DD-YY: not produced H_CORR_JOINTUNC (W m-2) Joint uncertainty estimation for H HH-DD: [SQRT(H_RANDUNC^2 + ((H_CORR75 - H_CORR25) / 1.349)^2)] WW-YY: not produced EBC_CF_N (adimensional) Number of data points used to calculate energy closure balance correction factor. Driver data points within sliding window (ECB_CF Method 1) or number of ECB_CF data points (for ECB_CF Methods 2 and 3) HH: for ECB_CF Method 1 (minimum 5, maximum 93) DD: for ECB_CF Method 1 (minimum 5, maximum 15) WW--YY: fraction between 0-1, indicating percentages of half-hours used with respect to theoretical maximum number of half hours EBC_CF_METHOD (adimensional) Method used to calculate the energy balance closure correction factor HH-YY: 1 = ECB_CF Method 1, 2 = ECB_CF Method 2, 3 = ECB_CF Method 3. See general description for details