Data products and (open) software
| Data Sets | Software |
|---|---|
| Atmospheric flask sampling programme | WRF-GHG |
| CarboScope: Data-based CO 2 flux estimates | STILT |
| Coffee Data Set | OCN model |
| VPRM input data | QUINCY model |
Atmospheric flask sampling programme
Our contribution to the global atmospheric observation network for biogeochemically relevant atmospheric species includes 12 sites with regular sampling in 2021, some with records since 2004. Typically, at each site every week flask triplets are filled with atmospheric air. Routinely, on all flask samples measurements by gas chromatography (GC) are performed of the mixing ratio of CO2, CO, CH4, N2O, H2 and SF6. In addition, measurements of the isotopic composition of CO2 (13C/12C and 18O/16O), as well as O2/N2 and Ar/N2are performed by mass spectrometry (MS). Since 2012 also the isotopic composition of methane (13C/12(CH4) and D/H(CH4)) is routinely determined. The flask sampling progamme has three main objectives (i) an independent quality control on in situ measurements at the remote stations; (ii) measurement of additional species, such as isotopic composition as well as gases that are not easy to measure continuously at remote sites; (iii) intercompare the measurement programmes of the different laboratories.
Source: The dataset and its description can be found here.
Contact: Sönke Zaehle
Jena CarboScope: Data-based CO2 flux estimates
CO2 flux estimates based on various types of measurements (atmospheric CO2 mixing ratios, surface-ocean CO2 partial pressure) and a statistical inverse approach.
The terrestrial vegetation, the oceans, human activities --main players of the global carbon cycle-- exchange carbon dioxide (CO2) and other greenhouse gases with the atmosphere, thereby influencing the climate through the greenhouse effect. The strength of the biospheric and oceanic CO2 exchanges strongly varies in space and time - from year to year, with season, from day to day, between day and night. This variability is, in turn, closely linked back to climatic influences. In order to understand the role of the carbon cycle in the climate system, we need to understand quantitatively how the carbon cycle processes on large spatial scales react to their climatic controls.
Jena CarboScope results can be downloaded for use in collaborative scientific projects or for general information.
Further information can be found here.
Contact: Christian Rödenbeck
COFFEE-Dataset: Inventory of CO2 release and O2 uptake from fossil fuel compustion
The COFFEE dataset contains global maps of CO2 emissions and O2 uptake related to fossil fuel combustions. A high-resolved and up-to-date version of the COFFEE dataset for CO2 emissions is distributed through the ICOS Carbon-Portal under this DOI.
COFFEE data from a previous version, including O2 uptake, is available with hourly resolution on a 1x1 grid (update to 0.1 x 0.1 grid ongoing). The information in the dataset is based on fossil fuel CO2 emission from the Emission Database for Global Atmospheric Research (EDGAR) and fuel consumption data from the United Nations Energy statististics and British Petroleum BP).
Data can be downloaded via ftp from ftp://ftp.bgc-jena.mpg.de/pub/outgoing/cgerbig/COFFEE_old.
Source: A detailed description of the creation of the dataset and some first application can be found in the following paper:
Contact: Christoph Gerbig
Vegetation Photosynthesis and Respiration Model VPRM
VPRMpreproc: Preprocessing of MODIS surface reflectance data for VPRM. Further informations can be found here.
VPRM parameter table: Optimized parameters for the Vegetation Photosynthesis and Respiration Model VPRM
Parameters for the Vegetation Photosynthesis and Respiration Model VPRM (Mahadevan et al., 2008) have been optimized using 2007 CO2 flux data (NEE) for 46 sites within Europe. Optimized parameters are available for the domain of
Parameters for the Vegetation Photosynthesis and Respiration Model VPRM (Mahadevan et al., 2008) have been optimized using 2007 CO2 flux data (NEE) for 46 sites within Europe. Optimized parameters are available for the domain of Europe. Details are given in the header of the linked parameter file.
Source:
VPRM Flux fields: VPRM simulated biosphere-atmosphere CO2 exchange flux
Biosphere-atmosphere exchange fluxes for CO2 have been simulated with the Vegetation Photosynthesis and Respiration Model VPRM (Mahadevan et al., 2008) for the European domain for the time period 2006 to 2019. Simulations were performed using the following datasets: - Vegetation Photosynthesis and Respiration Model (VPRM) parameters optimized for the year 2007 using 46 sites within Europe (available from www.europe-fluxdata.eu) - VPRM preprocessor code version Rev.116 - VPRM optimization code version Rev.7 - VPRM offline code version - MODIS Terra MOD09A1 surface reflectances version 6 - downward shortwave radiation and 2m Temperature extracted from short-term forecast fields from the ECMWF IFS model
Data can be downloaded via ftp from ftp://ftp/pub/outgoing/cgerbig/VPRM_fluxes_v3.
Source:
Contact: Christoph Gerbig
WRF Greenhouse Gas Model (WRF-GHG) based on WRF-Chem
WRF-GHG is now (since v.3.5) a module in the official WRF distribution, see the main webpage and the available code.
Here a short instruction: For download and installation follow the general WRF instructions from the user guide, newest version here.
Some info on using WRF-GHG is given in WRF-Chem user's guide from the website here.
The reference related to WRF-GHG is found here: Technical Report
Contact: Christoph Gerbig
STILT (Stochastic Time Inverted Lagrangian Transport)
STILT, the Stochastic Time-Inverted Lagrangian Transport model, is a Lagrangian particle dispersion model (LPDM) for atmospheric transport. Its primary purpose is to derive the upstream influence region on atmospheric measurement locations.
For download and installation see the main webpage at www.stilt-model.org.
Contact: Christoph Gerbig
OCN model
The dynamic global vegetation model OCN is a model of the coupled terrestrial carbon and nitrogen cycles (Zaehle and Friend, 2010; Zaehle et al., 2010, GBC), derived from the ORCHIDEE land-surface model (Krinner et al. 2005). It operates at an half-hourly time-scale and simulates diurnal net carbon exchanges and nitrogen trace gas emissions, as well as daily changes in leaf area index, foliar nitrogen and vegetation structure and growth. The main purpose of the model is to analyse the longer-term (interannual to decadal) implication of nutrient cycling for the modelling of land-climate interactions (Zaehle et al. 2010, GRL; Zaehle et al. 2011). The model is long-standing contributor to the TRENDY project.
Contact: Sönke Zaehle
QUINCY model
The QUINCY model (Thum, et al., 2019) is a terrestrial biosphere model tracking the flows of carbon, nitrogen and phosphorus, as well as a number of isotopes for a number of pre-defined terrestrial ecosystem types at a half-hourly time-step. It is currently developed to run for individual sites driven by surface meteorology, but its intention is to be further developed to be coupled to a land-surface scheme of a global climate model. For this purpose, ongoing work includes the integration of the model into the Jena Scheme for Biosphere Atmosphere Coupling in Hamburg (JSBACH). JSBACH is the land surface model of the MPI Earth system model. It is jointly developed by the Max Planck Institute for Meteorology and Max Planck Institute for Biogeochemistry. Further informations can be found here.
Contact: Sönke Zaehle