Sentence examples for sparse regions from inspiring English sources
The regional climate models proved to be appropriate tools in assessing drought over the study area as they can serve as good proxies over data sparse regions, especially in developing countries, for studying detailed climate features at sub regional and local scales.
Unfortunately, improving the models requires observations, and "Antarctica and the sea ice lanes are some of the most data sparse regions on earth," he says.
While BV steadily increases with increasing carbon values even in data sparse regions, saturations occur in MfV when carbon values approximate around 5.7 6.7 t/ha.
Some popular stream clustering methods are density-based: they aim to find clusters of arbitrary shape by modelling them as dense regions separated by sparse regions [6, 13].
Also the TRMM data provide a potential alternative source of forcing data for hydrological models in sparse regions where conventional in situ precipitation measurements are not readily available.
The RDN AD allows taking into account: (1) sparse regions by mapping data density, as well as (2) local precision and bias.
Upon confirmation of the relative reliability of the algorithm, it is reasonable to recommend the use of its precipitation estimates for data-sparse regions of the world.
The empirical model known as the International Reference Ionosphere IRII) could be used to augment data-sparse regions in an ionospheric now-cast and forecast system.
The study suggest that the use of TMPA precipitation estimates can be a compensating approach after suitable bias correction and have potential for SL prediction in data-sparse regions.
However, such an exercise is often made difficult in data-sparse regions, where the limited access to hydrometric data does not allow calibrating hydrological models in a robust way under non-stationary conditions.
This study examines the efficacy of a simple gap-filling algorithm designed for applications in data-sparse regions, which does not require local ground measurements of weather or rainfall, or estimates of soil texture.
