Mason Archival Repository Service

Validating the intrinsic uncertainty: Implications for hydrologic applications

Show simple item record

dc.contributor.author Kirstetter, Pierre-Emmanuel
dc.date.accessioned 2021-07-09T20:39:52Z
dc.date.available 2021-07-09T20:39:52Z
dc.date.issued 2021
dc.identifier.citation Kirstetter, P.-E., 2021: Validating the intrinsic uncertainty: Implications for hydrologic applications, in The Joint IPWG/GEWEX Precipitation Assessment (ed. R. Roca), WCRP Report 2/2021, World Climate Research Programme (WCRP), Geneva, Switzerland. en_US
dc.identifier.uri http://hdl.handle.net/1920/11985
dc.description DOI: 10.13021/gewex.precip.1.2
dc.description.abstract The critical importance of accurate water flux estimates for science and applications explains the large body of verification analyses focusing on precipitation estimates. Very few are implemented at the relevant scales to address the intrinsic uncertainty of precipitation products. This endeavor requires the expert use of other precipitation sensors such as radar-gauge combinations. The intrinsic uncertainty structure of satellite-based quantitative precipitation estimates is still largely unknown at the spatiotemporal scales near the sensor measurement scale. Without relevant information on key uncertainty features, applications making use of satellite Level-3 precipitation products are impacted both in terms of outcomes and physical realism. Ultimately, it requires more than just one deterministic “best estimate” to adequately cope with the intermittent, highly-skewed distribution that characterizes precipitation. Advancing the use of uncertainty as an integral part of the relationship between sensor measurements and precipitation estimates has the potential to provide a framework for diagnosing intrinsic uncertainty. en_US
dc.language.iso en_US en_US
dc.publisher World Climate Research Programme en_US
dc.rights Attribution 3.0 IGO *
dc.rights.uri https://www.creativecommons.org/licenses/by/3.0/igo/ *
dc.subject precipitation products en_US
dc.subject uncertainty en_US
dc.subject hydrologic applications en_US
dc.subject validation en_US
dc.subject Probabilistic Quantitative Precipitation Estimation en_US
dc.title Validating the intrinsic uncertainty: Implications for hydrologic applications en_US
dc.title.alternative Chapter 1.2 en_US
dc.type Book chapter en_US
dc.identifier.doi 10.13021/gewex.precip.1.2


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record

Attribution 3.0 IGO Except where otherwise noted, this item's license is described as Attribution 3.0 IGO

Search MARS


Browse

My Account

Statistics