hrrs (Milliman Inc)
86
Structured Review
Milliman Inc
hrrs
Hrrs, supplied by Milliman Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/milliman+%26+farnsworth/hrrs/pmc13162073-120-37-46
Average 86 stars, based on 1 article reviews
Hrrs, supplied by Milliman Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/milliman+%26+farnsworth/hrrs/pmc13162073-120-37-46
Average 86 stars, based on 1 article reviews
hrrs - by Bioz Stars,
2026-10
86/100 stars
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other:Article Title: Applicability of modified SWAT model (SWAT-Twn) on simulation of watershed sediment yields under different land use/cover scenarios in Taiwan. Article Snippet: loads showed that the SWAT-Twn model performed better than the official SWAT (SWAT664), in terms of PBIAS of − 46.6 to 16.0% (SWAT-Twn) and − 1.2 to − 107.0% (SWAT664).. Two scenarios of land use/ cover, scenario 1 with fixed land use/cover and scenario 2 with updated land use/cover in each year, were applied to simulate annual sediment in the river basin for investigating the effects of landslide area variation on sediments.. Results of sediment simulation under the two scenarios showed that although updating landslide area may facilitate sediment yield simulation at the subbasin level, the sediment transport equation, Bagnold equation, does not reflect the variation in sediment loads in the watershed. Article Title: Strong Margin Influence on the Arctic Ocean Barium Cycle Revealed by Pan‐Arctic Synthesis Article Snippet: The Article Title: Structural characterization, physicochemical properties and <i>in vitro</i> digestion of finger millet–resistant starch prepared by different methods Article Snippet: The influence of precessional insolation and latitudinal insolation gradients on tropical hydrology, in particular the intensity and spatial extent of the Indonesian-Australian monsoonal rain belt, is still a matter of debate, since extended, orbital scale records remain extremely scarce (e.g., Holbourn et al., 2005; P. Zhang et al., 2020), as most studies focused on the last glacial cycle (e.g., Ayliffe et al., 2013; Denniston et al., 2013; Eroglu et al., 2016; Field et al., 2017; Ishiwa et al., 2019; Kuhnt et al., 2015; Mohtadi et al., 2011).. Global sea surface temperature (SST) stacks over the last deglaciation indicated significant inter-hemispheric differences during deglacial warming, in particular for the phasing between globally increasing atmospheric carbon dioxide and regional warming in both hemispheres (Shakun et al., 2012).. This global compilation included high-resolution SST reconstructions over the last two glacial terminations in the Timor Sea (Xu et al., 2008, 2006, 2010), at locations situated within the Indo-Pacific Warm Pool (IPWP). Article Title: Major shoreline retreat and sediment starvation following Snowball Earth Article Snippet: The Cryogenian includes two of the most extreme ice‐house condi‐ tions in Earth's history (the Sturtian and Marinoan glaciations).. These “Snowball Earth” events represent some of the most remarkable in‐ tervals in the geological record (Harland, 1964; Hoffman, Kaufman, Halverson, & Schrag, 1998b; Kirschvink, 1992).. Although recent progress has been made calibrating Cryogenian geochronology (Cox et al., 2018; Rooney et al., 2014), many aspects surrounding the timing and duration of Snowball Earth events remain enigmatic. Article Title: Dissolved load, chemical weathering, and CO 2 uptake dynamics of small tropical mountainous rivers of Southern Granulite Terrain, Karamana and Vamanpuram, Western Ghats, India Article Snippet: Article Title: Uncertainties of Annual Suspended Sediment Transport Estimates Driven by Temporal Variability Article Snippet: Spatial variability of suspended sediment is present on different scales, including (a) river cross-section with vertical and lateral gradients (Lamb et al., 2020; Lupker et al., 2011) leading to unquantified bias regarding the upscaling of point measurements to cross-sections (Haimann et al., 2014), (b) longitudinal differences (Güneralp & Rhoads, 2008) due to sediment deposition and remobilization along the flow line (especially in tidal and estuarine environments) (Nowacki et al., 2015), (c) catchment scale variability due to spatial variability through surface runoff and |