01 / Start today

Every impact needs
a starting point.

The baseline describes the modelled emission state of a lake – as the starting basis for the later assessment of measures.

With the Advanced Lake Biogeochemistry Model (ALBM), we can already produce such a baseline today. Available water-body, weather and measurement data form the basis for it. Its explanatory power depends on their quality and on how well the model is adapted to the lake in question.

Possible today · model-based baseline

ALBM represents physical and biogeochemical processes in the lake. This makes it possible to model carbon dynamics as well as CO₂ and methane emissions and to place them within the water-carbon cycle.

  • Quantify the initial stateModel emissions for a defined period and clearly delineated system boundaries.
  • Make assumptions visibleDocument the data basis, model version and uncertainties in a traceable way.
  • Keep learning with every projectUse new measurements and project experience to continuously refine parameterisation, calibration and our application of the model.

A model-based baseline is the first step. Demonstrating the impact of a measure additionally requires suitable comparison conditions and measurements before and after the intervention.

02 / Software as a shared foundation

Water bodies, data and models.
In one context.

Our existing software views show how data sources and catchments are brought together. On this we are building the architecture for a dedicated MRV module.

Existing e.Data screenshot: data sources, catchment and water-body information for the Tollensesee
Existing e.Data view · TollenseseeOpen screenshot ↗

The screenshots show the existing data and map interface. The MRV module described here, with campaign management and impact assessment, is under development.

03 / Architecture under development

From distributed data
to verifiable impact.

We are developing modular software for measurement, reporting and the preparation of independent verification (MRV). It is intended to link model runs, measurement campaigns and the assessment of measures on one shared data basis.

On-site measurements

WAMO, profiling measurements and project-specific sampling for context and validation.

Satellites & geodata

Water surface areas, spatial changes and suitable water-quality indicators for broader coverage.

Project & measures

Water-body zones as polygons, system boundaries, intervention dates and documented measures.

Shared data basis
+ ALBM modelling

Planned are quality-checked time series, traceable data provenance and versioned model runs. Spatial management is handled via water bodies and zones; the modelling is set up to match the model boundaries.

Baseline

Modelled initial state with documented assumptions and uncertainties.

Campaigns & comparison

Planned tracking of measures across time, sites and reference water bodies.

Reports & evidence

Planned compilation of data and assessments for technical review and verification.

Target architecture · The baseline is already possible. The end-to-end software chain is being developed step by step.

04 / Long-term measurement campaigns

One water body is a beginning.
Many make patterns recognisable.

We are working to include enough suitable water bodies in our sample – and to create the conditions for studying them over the long term.

This is an extensive development and research project. Different water-body types, seasonal fluctuations and local conditions must be covered before findings can be transferred reliably.

Satellite data help to broaden the spatial scope and to identify suitable study areas. Their evaluation is linked with on-site measurements; it does not replace direct evidence of greenhouse-gas fluxes.

05 / Methodological compatibility

Working towards
robust standards.

We are aligning our further development with the requirements of Gold Standard in the area of “Blue Carbon and Freshwater Wetlands”.

A relevant point of reference is the draft methodology “Carbon Removal and Methane Reduction from Eutrophic Systems”, put out for consultation in 2026. It links the quantification of carbon storage and methane avoidance with long-term observation and verifiable evidence.

Our goal is a software module aligned with it: with suitable baselines, documented measurement programmes, transparent uncertainties and structured reports. The applicable methodology and its current version determine the requirements in the specific project.

Development goal: methodological compatibility. This does not claim Gold Standard certification of our software or projects. ALBM-based modelling on its own is not yet verified evidence of impact.

e.Ray · Your data and evaluation partner

Start with a baseline.
Understand the impact over the long term.

Do you manage a water body or are you planning a measure? Together we clarify the data basis for a first baseline and the outlook for a long-term measurement and evaluation campaign.