Your English writing platform
Discover LudwigExact(17)
Heinke, J. et al. A new climate dataset for systematic assessments of climate change impacts as a function of global warming.
This climate dataset was built from hourly data of temperature (2 m above ground) and specific humidity, and has global coverage at different spatial resolutions.
As an alternative approach to ESP, an additional climate dataset, the Climate Forecast System Reanalysis (CFSR) provided via the National Centers for Environmental Prediction (NCEP) in its most recent reanalysis project was tested.
The dataset contains small patches that result in inaccurate values when overlayed with the climate dataset.
The secondary dataset, daily 10 km gridded climate dataset for Canada 1961-2003, was obtained from the website (http://www.agr.gc.ca/nlwis-snite/index_e.cfm).cfm
Therefore, the initial spatial downscaling was done to 4 km, which is the resolution of an existing historical climate dataset that is spatially distributed and grid-based.
Similar(43)
More guidance from climatologists in selecting climate datasets is probably warranted when considering how various climatic or bioclimatic variables may affect the potential distribution of a species.
R.G.W. generated the climate datasets, analysed the spatial distributions, developed the maps and edited the manuscript.
We present TECA, a parallel toolkit for detecting extreme events in large climate datasets.
Modern climate datasets expose parallelism across a number of dimensions: spatial locations, timesteps and ensemble members.
Future climate datasets are based on Representative Concentration Pathway scenarios for 2050 2059 and 2090 2099.
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