The CarboeuropeIP Ecosystem Component Database: data processing and availability

Dario Papale, Markus Reichstein

DatabaseWhy do we need a database?Typically, the bilateral meetings talk.

Knowledge in Eddy CovarianceKnowledge in Modeling and data synthesisModelersFlux people

What is it needed?Data, provided by the PIs and shared with the scientific communityData have to be with good quality (the user are not able to understand this looking to the dataset)Data have to be in the same formatData have to be ready to be used

http://gaia.agraria.unitus.it/database

Info used in the email to the PIs

And also the list of downloads from your site

Data quality centralized checksWhy do we need to correct the data if the PIs correctly apply all the quality checks?How many PIs are applying these tests/corrections correctly?How many PIs are reprocessing old data with new methods? and..

Level 0.xLevel 1.xLevel 2.xLevel 3.xLevel 4.xConversion (Site)QC I (Site & DB)QC II (DB) (semi-automatic)GF/FP/aggregation (DB) (automatic)Different levels of products and different versionsTwo steps quality checks

9 bits QC flag

Bits DescriptionDefinition of values 9

8QC from PI

Marginal point0: ok (class 0-1 of QA/QC method based on raw data Foken et al.) 1: not ok (class 2)

0: no; 1: marginal point

7-6 u* criterion 00: ok01: below treshold10: preceeding below threshold11: below treshold and preceeding below threshold 5-4 Spike detection 00: no spike01: spike as outside 4 SD10: spike as outside 5.5 SD11: spike as outside 7 SD or out of range. 3 Low variability 0: ok; 1: low variability (e.g. when pump broken etc.) 2-1 Summary 00: best01: medium10: bad11: missing

QC II for level 3 productsFluxesMarginal or isolated pointsSpikesLow variability periodsStorage correctionWith the storage measured using a profile systemUsing the top-of-tower CO2 conc.u* filteringRg vs Potential radiationRg vs PPFDustar vs wind speed

Global radiation vs PPFD

Spikes detection methodNB: these are low frequency spikes, different from the raw data spikes!!!!

Standardized ustar filtering

MxUstar threshold selection methodx selected as threshold if flux(x) >= M x 0.99This is done for 6 different temperature classes (only if no relation between T and u* are found) and for 4 season. Seasonal ustar is calculated as median on the 6 thresholds, for annual u* the maximum seasonal value is taken

ITRo1 2000

BEVie 2002

NLLoo 1998 storage with discrete approach

NLLoo 1998 storage with profile

ITLav 2002

BEVie 2002 then we fill gaps with two methods (ANN and MDS) and calculate GPP and TER ..