The phrase "aridity data" is correct and usable in written English.
It can be used in contexts related to climate studies, environmental science, or agriculture when discussing information or statistics about dryness or lack of moisture in a particular area.
Example: "The researchers collected aridity data to analyze the impact of climate change on local ecosystems."
Alternatives: "drought data" or "dryness statistics".
42 Aridity index and potential evapotranspiration (PET) data were extracted from the Global-PET and Global-Aridity data sets (CGIARCSI), at 1 km resolution.
It's about aridity, arid hearts, and finding the link to get the flow".
α and β were fit to measurements of moisture and water potential on similar soils along a gradient of aridity (Sarah Pariente, unpubl. data).
We used these data to calculate an aridity index (Aridity Index) as average monthly precipitation/average monthly PET, where moist areas have high aridity index and arid areas a low index.
Stable isotope data demonstrate increased aridity, increased C4 grass consumption, inter-faunal dietary partitioning, increased isotopic niche breadth of mixed feeders, niche partitioning of phylogenetically similar taxa, and differences in relative seasonality with warming.
A regional steady-state lake water balance model was developed that uses simple, yet easily estimated or obtained, data to generate an aridity index (potential evapotranspiration to precipitation ratio) to predict changes in lake basin area to lake surface area ratio, a non-dimensional lake-basin property that can be easily obtained from digital maps.
Based on a data set of 171 French catchments (where aridity ranged between 0.2 and 1.2), we present a parameterization of three commonly-used water balance formulas (namely, Turc-Mezentsev, Tixeront-Fu and Oldekop formulas) to account for seasonality effects.
Finally, we created the variable aridity = -ln(Q) so that more arid stations get higher values of the aridity index.
We then present new data from Makgadikgadi basin barchan dunes that indicate mid-late Holocene aridity following a period of marked hydrological dynamism extending from the early Holocene.
A second-order polynomial regression provided a better fit to the data, suggesting that increased desiccation tolerance only evolved above a certain aridity threshold (Fig. 4).
The team then used published climate model studies to explore mechanisms that link warming with aridity in the western U.S. In addition to the paper in Science, they also used the data to create a CD-ROM called the North American Drought Atlas, the first of its kind, providing a history of drought on this continent.
