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DTSTART:19700329T010000
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SUMMARY:Full-Network River Flow Modelling in the Era of Big Data
DTSTART;TZID=Europe/London:20260904T120000
DTEND;TZID=Europe/London:20260904T130000
DTSTAMP:20260811T051755Z
UID:4783d755-9f8a-f111-8077-7c1e521e266f
CREATED:20260728T161402Z
DESCRIPTION:Human activities\, dominated by dam construction\, levees\, an
 d land cover changes\, have significantly altered the terrestrial water cy
 cle's spatiotemporal structures. While high-resolution river models improv
 e our detailed mapping capabilities\, accurately characterizing human-indu
 ced changes on streamflow remains a key bottleneck in predicting water cyc
 le variations. Dr Peirong Lin\, Peking University\, will describe progress
  on large-scale\, high-resolution hydrological modelling\, observation-bas
 ed model diagnostics\, and data fusion. The webinar will also discuss adva
 ncements brought by river satellite remote sensing. These efforts pave the
  way for new model parameterization schemes and for studying precise spati
 otemporal runoff patterns under human impacts.
LAST-MODIFIED:20260728T171253Z
SPEAKER:Dr Yinxue Liu (School of Geography and the Environment)\, Dr Peiro
 ng Lin (Peking University)
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