Hydrological and meteorological studies demand accurate, continuous, long-term, reliable, uniformly distributed precipitation data. Considering low density rain gauges with incomplete data in developing nations, a plethora of gridded products (GPPs) have made their place as an alternative to gauge records. However, GPPs house inherent errors depending on the type data, density, gridding algorit...

Precipitation is one of the crucial variables in hydrological and water resources studies. Runoff, soil moisture, groundwater recharge, other change with amount precipitation a region. Thus, accurate estimation major issue field modeling. Most studies management decisions Iran are established using situ observation precipitation. However, due to limited spatial distribution lack long-term high-...

Smallholder livelihoods throughout Central America are built on rain-fed agriculture and depend seasonal variations in temperature precipitation. Recent climatic shifts this highly diverse region not well understood due to sparse observations, as the skill of global climate products have been thoroughly evaluated. We examine performance for several reanalysis satellite-based data (CHIRPS/CHIRTS...

BACKGROUND MYB is predicted to be a favorable prognostic predictor in a breast cancer population. We proposed to find the inferred mechanism(s) relevant to the prognostic features of MYB via a supervised network analysis. METHODS Both coefficient of intrinsic dependence (CID) and Galton Pierson's correlation coefficient (GPCC) were combined and designated as CIDUGPCC. It is for the univariate...

Since 2002, the GRACE satellite mission provides estimates of the Earth’s dynamic gravity field with unprecedented accuracy. Differences between monthly gravity fields contain a clear hydrological signal due to continental water storage changes. In order to evaluate GRACE results, the state-of-the-art WaterGAP Global Hydrological Model (WGHM) is applied to calculate terrestrial water storage ch...