Your English writing platform
Discover LudwigExact(60)
Uncertainties caused by model structure are due to model assumptions and simplifications because of insufficient knowledge, to limit data requirements and for operational reasons (e.g. application at a scale that requires model simplification).
The dBCP model has modest forcing data requirements and can be applied to other basins globally.
Universities felt there was a lot of data requirements and uncertainty for very little money.
However, most of these procedures suffer from specific data requirements and complexity that limit their transferability.
In addition, the paper describes data requirements and methods used for model evaluation.
The presented method has the advantages of the lower data requirements and the utility of the results.
Six updating methods have been defined, varying in data requirements and in the smallest spatial unit that can be updated.
The data requirements and potential bias in estimated baseflow index (BFI) were evaluated using conductivity data for different seasons and/or resampled data segments at various sampling durations.
However, application of watershed mechanistic models to assess nutrient inputs is limited by large data requirements and intensive model calibration efforts.
Greater emphasis on the potential contribution of TK in guiding study design and interpretation should be incorporated in regulatory data requirements and associated guidance.
A business model is a description of the functions of the business, the data requirements, and the interactions between the functions and the data requirements.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com