Your English writing platform
Discover LudwigExact(45)
The researchers, Aixue Hu and Gerald A. Meehl, based their predictions on runoff data from Greenland and an analysis of ocean circulation patterns.
The rainfall and runoff data were collected twice a day for 91 days.
The recorded rainfall and runoff data displayed a non-linear relationship.
The models are calibrated in similar ways with the same runoff data.
Rainfall intensities and their uncertainties are estimated from runoff data only.
Standardized runoff index (SRI) was calculated using model-driven runoff data.
Similar(15)
Both methods were successful in removing the subjective component inherent in the analysis of rainfall-runoff data of the current method.
The rainfall-runoff data from four different catchments located in the different Hydro-Climatic regions of the world is used in the study.
To avoid artefacts due to the numerical resolution or numerical method of the differential equations within the model, the model was consistently run using modelling time-steps of one-hour regardless of the temporal resolution of the rainfall-runoff data.
The objective of this study is to improve the rainfall-runoff data analysis method for estimating EIA fraction in urban catchments by eliminating the subjective part of the existing method and by reducing the uncertainty of EIA estimates.
The WLS method is more robust than the OLS method and generates results that are different and more precise than the OLS method in the presence of heteroscedastic residuals in our rainfall-runoff data.
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