English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

. Precipitation is a crucial variable for hydro-meteorologicalapplications. Unfortunately, rain gauge measurements are sparse and unevenlydistributed, which substantially hampers the use of in situ precipitationdata in many regions of the world. The increasing availability ofhigh-resolution gridded precipitation products presents a valuablealternative, especially over poorly gauged regions. This study examines theusefulness of current state-of-the-art precipitation data sets inhydrological modeling. For this purpose, we force a conceptual hydrologicalmodel with multiple precipitation data sets in &gt;200 Europeancatchments to obtain runoff and evapotranspiration. We consider a wide rangeof precipitation products, which are generated via (1) the interpolation ofgauge measurements (E-OBS and Global Precipitation Climatology Centre (GPCC) V.2018), (2)  data assimilation intoreanalysis models (ERA-Interim, ERA5, and Climate Forecast System Reanalysis – CFSR), and (3) a combination ofmultiple sources (Multi-Source Weighted-Ensemble Precipitation; MSWEP V2). Evaluation is done at the daily and monthlytimescales during the period of 1984–2007. We find that simulated runoffvalues are highly dependent on the accuracy of precipitation inputs; incontrast, simulated evapotranspiration is generally much less influenced inour comparatively wet study region. We also find that the impact ofprecipitation uncertainty on simulated runoff increases towards wetterregions, while the opposite is observed in the case of evapotranspiration.Finally, we perform an indirect performance evaluation of the precipitationdata sets by comparing the runoff simulations with streamflow observations.Thereby, E-OBS yields the particularly strong agreement, while ERA5, GPCC V.2018, and MSWEP V2 show good performances. We further revealclimate-dependent performance variations of the considered data sets, whichcan be used to guide their future development. The overall best agreement isachieved when using an ensemble mean generated from all the individualproducts. In summary, our findings highlight a climate-dependent propagationof precipitation uncertainty through the water cycle; while runoff isstrongly impacted in comparatively wet regions, such as central Europe, thereare increasing implications for evapotranspiration in drier regions.

Climate-dependent propagation of precipitation uncertainty into the water cycle