Sentence examples for drought detection from inspiring English sources

Practical issues regarding the application of GRACE assimilated groundwater storage for drought detection are discussed.

This is the first reporting of tropical forest seasonal drought detection by active microwave scatterometry.

Moreover, the SPDI-JDI is also evaluated against Palmer drought indices and US Drought Monitor for drought detection.

However, uncertainties inherent to land surface models may impede drought detection, and thus should be assessed using independent data sources.

Potential implications are that the SPDI-JDI allows for insights into different impacts of drought and leads to high probability of drought detection versus multi-source drought information, implying attractive properties originating from its physically inclusive and multivariate joint probabilistic combined nature.

Meanwhile, the SPDI-JDI shows high coherence and correlation with individual PIs and performs well in drought detection when compared to the integration of Palmer drought severity index, Palmer modified drought index, Palmer hydrologic drought index and Palmer Z index as well as to the U.S. Drought Monitor observations.

Only one seedling survived the first drought period, with no detection of effects of either position with respect to adult individuals or seedling density.

Varshney et al. [ 13] reported the detection of drought tolerance QTLs based on a cultivated × cultivated SSR genetic map.

We evaluated the remotely sensed detection of foliar drought stress in two conifer species, Pinus edulis and Juniperus monosperma, which are co-dominants of extensive-juniper woodlands in North America, the first of which experienced extensive mortality in association with a recent drought.

This approach enabled detection of 225-shared drought-adaptive DEGs with enhanced functional and evolutionary conservation across-species.

Genome wide association studies (GWAS) are a powerful tool to subdivide such complex pathways as drought stress and leaf senescence by the detection of quantitative trait loci (QTL) out of the regression analysis of genotypic and phenotypic data [ 19, 46– 46].