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Finding Best Ways in Ecosystem Data Communication and Assimilation

Start Date:
5/15/13
End Date:
None
Duration:
All Day: All Day (Time Zone Sensitive)
Type:
Meeting
Location:
VUA

Collaboration of the University of Amsterdam and ECMWF:
Finding Best Ways in Ecosystem Data Communication and Assimilation

On 16th of May 2013, participants of ICOS-INWIRE work package 5 (Guido van der Werf, Han Dolman, Martijn Pallandt (all VUA) and Dario Papale (UNITUS)) as well as ECMWF’s modelling /physics division (Gianpaolo Balsamo and Anton Beljaars (both ECMWF)) have met in Amsterdam for a one day workshop. The goals were to discuss the projects’ tasks on how the ICOS ecosystem database can best serve its VIP users and to find a way to evaluate ecosystem data assimilation in land surface models respectively.

The importance of specific data as supplied by ICOS has been discussed demonstrated on a model called C-TESSEL as background information for discussing the added value of near real-time (NRT) data to ECMWF. Summarised, several ICOS sites are already capably of supplying data with the desired characteristics and should be able to deliver data in NRT in the foreseeable future. In addition, Gianpaolo Balsamo gave a well received talk to the general audience titled “Introducing Natural Land Carbon processes in a global NWP model: A step towards Carbon‐Meteorology applications”. He has shown the process of the production of current updates of carbon flow in the atmosphere by the ECMWF analysis system.

The afternoon session focused on the definition of metrics to evaluate ecosystem variable assimilation in land surface models. Different solutions were discussed by ECMWF and VUA with the ambition to benefit from each other. Common ground between the ICOS-INWIRE task and ECMWF’s ImagineS project was found, and both parties have agreed quickly upon an intention to cooperate. Future plans have been made to further analyse ECMWF’S C-TESSEL outcome by an in depth comparison with remote sensed FPAR and in-situ Eddy covariance data, with a focus initially on GPP predictions. This should lead to a set of well-defined metrics that allow future inter-comparisons.

We look back at a successful workshop, where significant steps have been taken to a closer cooperation between ICOS and one of its VIP users ECMWF.

Figure 1: Near real-time CO2 forecast by CTESSEL of the 2012 hurricane Sandy. Source: G. Balsamo. 

 

Figure 2: CTESSEL (in R&D version with prognostic LAI) can detect anomalous years (here illustrating impact of the Russian heat-wave in July 2010) and have potential for vegetation growth monitoring. Source: G. Balsamo.  

 

 

 

 

 

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Finding Best Ways in Ecosystem Data Communication and Assimilation

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