Tag Results

View Download

TEST DEMO EPC GRASSLAND MuSo v2.2 HARMONY

Created: 2014-05-26 05:55:49

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Trident (Package)

Comments: 0 | Viewed: 73 times | Downloaded: 46 times

View Download

TEST DEMO EPC GRASSLAND MuSo v2.2 NITROGEN

Created: 2014-05-26 05:57:25

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Trident (Package)

Comments: 0 | Viewed: 65 times | Downloaded: 49 times

View Download

TEST DEMO EPC GRASSLAND MuSo v2.2 LEAFAREA

Created: 2014-05-26 05:58:54

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Trident (Package)

Comments: 0 | Viewed: 65 times | Downloaded: 45 times

View Download

TEST DEMO METDATA FOR Biome-BGC, HHS, 1901-2000

Created: 2014-05-26 06:01:41

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

Comments: 0 | Viewed: 64 times | Downloaded: 49 times

View Download

TEST DEMO METDATA + FORESEE FOR Biome-BGC, HHS, 190...

Created: 2014-05-26 06:05:43

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Trident (Package)

Comments: 0 | Viewed: 67 times | Downloaded: 43 times

View Download

TEST DEMO METDATA FOR Biome-BGC, HHS, 2001-2002

Created: 2014-05-26 06:07:20

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

Comments: 0 | Viewed: 61 times | Downloaded: 49 times

View Download

TEST DEMO Daily Observation Data 2001-2002 - AIR

Created: 2014-05-26 06:39:44

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: text/csv

Comments: 0 | Viewed: 60 times | Downloaded: 45 times

View Download

TEST DEMO Daily Observation Data 2001-2002 - HUMUS

Created: 2014-05-26 06:40:56

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: text/csv

Comments: 0 | Viewed: 63 times | Downloaded: 45 times

View Download

TEST DEMO Daily Observation Data 2001-2002 - NINE

Created: 2014-05-26 06:42:09 | Last updated: 2014-05-26 09:40:45

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: text/csv

Comments: 0 | Viewed: 65 times | Downloaded: 47 times

View Download

TEST DEMO Daily Observation Data 2001-2002 - AIR

Created: 2014-05-26 09:43:22

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: text/csv

Comments: 0 | Viewed: 53 times | Downloaded: 41 times

View Download

TEST DEMO Daily Observation Data 2001-2002 - HUMUS

Created: 2014-05-26 09:44:56

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: text/csv

Comments: 0 | Viewed: 56 times | Downloaded: 44 times

View Download

TEST DEMO Daily Observation Data 2001-2002 - AIR

Created: 2014-05-27 15:18:56

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: text/csv

Comments: 0 | Viewed: 60 times | Downloaded: 46 times

View Download

TEST DEMO Daily Observation Data 2001-2002 - HUMUS

Created: 2014-05-27 15:20:38

Credits: Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: text/csv

Comments: 0 | Viewed: 60 times | Downloaded: 49 times

View Download

Preparatory working with Biome-BGC Projects database...

Created: 2014-05-26 06:10:06 | Last updated: 2014-05-27 15:23:06

9 items in this pack

Comments: 0 | Viewed: 95 times | Downloaded: 54 times

Biome-BGC MCE 1.4.1 (4)

• Download

Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. Two models were implemented: Biome-BGC 4.1.1 MPI (Trusilova et al. 2009) and Biome-BGC MuSo 3.0 (Hidy & Barcza 2014). Its has about 40 and 60 various parameters. The only way to estimate or set these parameters is "calibration" (data-model-harmonization or model-data-fusion), which demands a hugh amount of computational capacity. Monte Carlo Exp...

Created: 2013-06-04 | Last updated: 2014-10-04

Credits: Ferenc HORVATH Zoltan BARCZA Dora Krasser Peter Ittzes BioVeL

Biome-BGC ESI version 1.4.1 (3)

• Download

Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. The model can help us to quantify a broad range of ecosystem service indicators. These newly developed measures include: annual wood increment, yearly production of grasslands or croplands, total average carbon stock, annual evapotranspiration, damping of ecosystem daily water outflow, living and dead biomass protecting the soil against erosion,...

Created: 2013-08-12 | Last updated: 2014-10-04

Credits: Ferenc HORVATH Dora Krasser Peter Ittzes BioVeL

Biome-BGC CARBON 1.2 (4)

• Download

Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. A new version of the model, called Biome-BGC MuSo was developed to perform more realistic simulations in terms of soil hydrology, and improved ecosystem management options essentially (Hidy et al. 2012; Hidy & Barcza 2014). The Biome-BGC CARBON service executes a single simulation run at a given geographic location under that distinctive environ...

Created: 2013-06-04 | Last updated: 2015-06-12

Credits: Ferenc HORVATH Dora Krasser Peter Ittzes Zoltan BARCZA BioVeL

Attributions:

Biome-BGC SA 1.3 (1)

• Download

Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. Two models have been implemented: the Biome-BGC v4.1.1 Max Planck Institute model, and the newly developed Biome-BGC MuSo 3.0 model. Performance, success or failure of these models are highly dependent on parameter settings and variation. Due to the high number of parameters (around 40 and 60 for 4.1.1 MPI and MuSo respectively) and the non-line...

Created: 2014-10-04

Credits: Ferenc HORVATH Dora Krasser Peter Ittzes Zoltan BARCZA BioVeL