https://hzambran.github.io/tags/et/ Et HugoBlox Kit (https://hugoblox.com)en-usFri, 13 Aug 2021 00:00:00 +0000 https://hzambran.github.io/media/icon_hu_edd58fc588fafe6f.png https://hzambran.github.io/tags/et/ https://hzambran.github.io/blog/2021-08-13-johrs_article_on_rs4nile_published/ Fri, 13 Aug 2021 00:00:00 +0000 https://hzambran.github.io/blog/2021-08-13-johrs_article_on_rs4nile_published/ <p>The article has been published on the journal.</p> <p>This article evaluates the performance of eleven state-of-the-art precipitation (<em>P</em>) products and seven actual evapotranspiration (<em>ETa</em>) products over the Nile Basin using a four-step procedure: (<strong>i</strong>) products were evaluated at the monthly scale through a point-to-pixel approach; (<strong>ii</strong>) streamflow was modelled using the Random Forest machine learning technique, and simulated for well-performing catchments for 2009–2018 (to correspond with ETa product availability); (<strong>iii</strong>) ETa products were evaluated at the multiannual scale using the water balance method; and (<strong>iv</strong>) the ability of the best-performing and ETa products to represent monthly variations in terrestrial water storage (<em>TWS</em>) was assessed through a comparison with GRACE Level-3 data.</p> <p>The application of the water balance using the best-performing products captures the seasonality of TWS well over the White Nile Basin, but overestimates seasonality over the Blue Nile Basin. Our study <strong>demonstrates how gridded and ETa products can be evaluated over extremely data-scarce conditions using an easily transferable methodology</strong>.</p> <!-- Fotos --> <figure><img src="https://hzambran.github.io/blog/2021-08-13-johrs_article_on_rs4nile_published/featured.jpg" alt="https://doi.org/10.1016/j.ejrh.2021.100884"><figcaption> <p></p> </figcaption> </figure>