▁global ▁scale ▁using ▁high ▁temporal ▁resolution ( < 3 0   min ) ▁and ▁high ▁f idel ity ▁ra inf all ▁record ings . ▁The ▁results ▁is ▁an ▁extensive ▁global ▁data ▁collection ▁effort ▁produced ▁the ▁Global ▁Rain fall ▁E ros ivity ▁Database ▁( G lo RED a ) ▁which ▁includes ▁ra inf all ▁er os ivity ▁for ▁ 3 , 6 2 5 ▁stations ▁and ▁covers ▁ 6 3 ▁countries . ▁This ▁first ▁ever ▁Global ▁Rain fall ▁E ros ivity ▁Database ▁was ▁used ▁to ▁develop ▁a ▁global ▁er os ivity ▁map ▁ ▁at ▁ 3 0 ▁arc - seconds ( ~ 1   km ) ▁based ▁on ▁s oph istic ated ▁ge ost at ist ical ▁process . ▁According ▁to ▁a ▁new ▁study ▁published ▁in ▁Nature ▁Communic ations , ▁almost ▁ 3 6 ▁billion ▁tons ▁of ▁soil ▁is ▁lost ▁every ▁year ▁due ▁to ▁water , ▁and ▁def or est ation ▁and ▁other ▁changes ▁in ▁land ▁use ▁make ▁the ▁problem ▁worse .   The ▁study ▁investig ates ▁global ▁soil ▁er os ion ▁dynamics ▁by ▁means ▁of ▁high - resol ution ▁spatial ly ▁distributed ▁mod elling ▁( ca . ▁ 2 5 0   ×   2 5 0   m ▁cell ▁size ). ▁The ▁ge o - stat ist ical ▁approach ▁allows , ▁for ▁the ▁first ▁time , ▁the ▁thorough ▁incorpor ation ▁into ▁a ▁global ▁soil ▁er os ion ▁model ▁of ▁land ▁use ▁and ▁changes ▁in ▁land ▁use , ▁the ▁extent , ▁types , ▁spatial ▁distribution ▁of ▁global ▁cro pl ands ▁and ▁the ▁effects