Toward a combined Bayesian frameworks to quantify parameter uncertainty in a large mountainous catchment with high spatial variability

Author(s):  
Yousef Hassanzadeh ◽  
Amirhosein Aghakhani Afshar ◽  
Mohsen Pourreza-Bilondi ◽  
Hadi Memarian ◽  
Ali Asghar Besalatpour
2019 ◽  
Vol 13 (3) ◽  
pp. 911-925 ◽  
Author(s):  
Till J. W. Wagner ◽  
Fiamma Straneo ◽  
Clark G. Richards ◽  
Donald A. Slater ◽  
Laura A. Stevens ◽  
...  

Abstract. The frontal flux balance of a medium-sized tidewater glacier in western Greenland in the summer is assessed by quantifying the individual components (ice flux, retreat, calving, and submarine melting) through a combination of data and models. Ice flux and retreat are obtained from satellite data. Submarine melting is derived using a high-resolution ocean model informed by near-ice observations, and calving is estimated using a record of calving events along the ice front. All terms exhibit large spatial variability along the ∼5 km wide ice front. It is found that submarine melting accounts for much of the frontal ablation in small regions where two subglacial discharge plumes emerge at the ice front. Away from the subglacial plumes, the estimated melting accounts for a small fraction of frontal ablation. Glacier-wide, these estimates suggest that mass loss is largely controlled by calving. This result, however, is at odds with the limited presence of icebergs at this calving front – suggesting that melt rates in regions outside of the subglacial plumes may be underestimated. Finally, we argue that localized melt incisions into the glacier front can be significant drivers of calving. Our results suggest a complex interplay of melting and calving marked by high spatial variability along the glacier front.


2015 ◽  
Vol 154 ◽  
pp. 214-223 ◽  
Author(s):  
Simon Bonato ◽  
Urania Christaki ◽  
Alain Lefebvre ◽  
Fabrice Lizon ◽  
Melilotus Thyssen ◽  
...  

Inland Waters ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 461-473 ◽  
Author(s):  
Jovana Kokic ◽  
Erik Sahlée ◽  
Sebastian Sobek ◽  
Dominic Vachon ◽  
Marcus B. Wallin

2015 ◽  
Vol 13 (2) ◽  
pp. e0903 ◽  
Author(s):  
Irene Bonilla ◽  
Fernando Martinez de Toda ◽  
Jose Antonio Martínez-Casasnovas

<p>The prediction of grape composition is becoming more important due to the need of reducing the current levels of alcohol and pH of the wines, a problem that is exacerbated by climate change. This work presents a 3-year study of the spatial variability of grape composition in a rainfed Tempranillo vineyard located in Rioja (Spain). It is based on the acquisition of multispectral imagery at <em>véraison</em> (start of the ripening process); and zoning based on NDVI, to assess its performance for zonal management. The results reveal a high spatial variability within the plot, with a stable pattern over the years, even with very different climate conditions. NDVI was a good predictor of vegetative growth variables. However, the prediction of grape composition was more complex. Unexpectedly, anthocyanins were found to be higher in the highest vigor zone, which is probably related to the effects of climate change. This unexpected relationship is particularly discussed in the article.</p>


Chemosphere ◽  
2016 ◽  
Vol 149 ◽  
pp. 101-107 ◽  
Author(s):  
Carl O.P. Nijhof ◽  
Mark A.J. Huijbregts ◽  
Laura Golsteijn ◽  
Rosalie van Zelm

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