Articles | Volume 380
https://doi.org/10.5194/piahs-380-67-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-380-67-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Post-conference publication
| 
18 Dec 2018
Post-conference publication |
| 18 Dec 2018
| 18 Dec 2018
Validating improved-MODIS products from spectral mixture-Landsat snow cover maps in a mountain region in southern Spain
Hydrological Research Unit, Swedish Meteorological and Hydrological
Institute, Norrköping, 60176, Sweden
Fluvial Dynamic and Hydrology Research Group, Andalusian Institute
for Earth System Research, University of Cordoba, Córdoba, 14071, Spain
Carlo Marín
Institute for Earth Observation, EURAC, Bolzano, 39100, Italy
Ludovica De Gregorio
Institute for Earth Observation, EURAC, Bolzano, 39100, Italy
Mattia Callegari
Institute for Earth Observation, EURAC, Bolzano, 39100, Italy
María J. Pérez-Palazón
Fluvial Dynamic and Hydrology Research Group, Andalusian Institute
for Earth System Research, University of Cordoba, Córdoba, 14071, Spain
Claudia Notarnicola
Institute for Earth Observation, EURAC, Bolzano, 39100, Italy
María J. Polo
Fluvial Dynamic and Hydrology Research Group, Andalusian Institute
for Earth System Research, University of Cordoba, Córdoba, 14071, Spain
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Michael Matiu, Alice Crespi, Giacomo Bertoldi, Carlo Maria Carmagnola, Christoph Marty, Samuel Morin, Wolfgang Schöner, Daniele Cat Berro, Gabriele Chiogna, Ludovica De Gregorio, Sven Kotlarski, Bruno Majone, Gernot Resch, Silvia Terzago, Mauro Valt, Walter Beozzo, Paola Cianfarra, Isabelle Gouttevin, Giorgia Marcolini, Claudia Notarnicola, Marcello Petitta, Simon C. Scherrer, Ulrich Strasser, Michael Winkler, Marc Zebisch, Andrea Cicogna, Roberto Cremonini, Andrea Debernardi, Mattia Faletto, Mauro Gaddo, Lorenzo Giovannini, Luca Mercalli, Jean-Michel Soubeyroux, Andrea Sušnik, Alberto Trenti, Stefano Urbani, and Viktor Weilguni
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In this paper, we use for the first time the synthetic aperture radar (SAR) time series acquired by Sentinel-1 to monitor snowmelt dynamics in alpine regions. We found that the multitemporal SAR allows the identification of the three phases that characterize the melting process, i.e., moistening, ripening and runoff, in a spatial distributed way. We believe that the presented investigation could have relevant applications for monitoring and predicting the snowmelt progress over large regions.
Berit Arheimer, Rafael Pimentel, Kristina Isberg, Louise Crochemore, Jafet C. M. Andersson, Abdulghani Hasan, and Luis Pineda
Hydrol. Earth Syst. Sci., 24, 535–559, https://doi.org/10.5194/hess-24-535-2020, https://doi.org/10.5194/hess-24-535-2020, 2020
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How far can we reach in predicting river flow globally, using integrated catchment modelling and open global data? For the first time, a catchment model was applied world-wide, covering the entire globe with a relatively high resolution. The results show that stepwise calibration provided better performance than traditional modelling of the globe. The study highlights that open data and models are crucial to advance hydrological sciences by sharing knowledge and enabling transparent evaluation.
María J. Polo, Javier Herrero, Rafael Pimentel, and María J. Pérez-Palazón
Earth Syst. Sci. Data, 11, 393–407, https://doi.org/10.5194/essd-11-393-2019, https://doi.org/10.5194/essd-11-393-2019, 2019
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This work presents the Guadalfeo Monitoring Network in the Sierra Nevada (Spain), a snow monitoring network in the Guadalfeo Experimental Catchment, a semiarid area in southern Europe representative of snowpacks with highly variable dynamics on both annual and seasonal scales and significant topographic gradients. The network includes weather stations and time-lapse cameras to capture the variability of the ablation phases on different spatial scales.
Theano Iliopoulou, Cristina Aguilar, Berit Arheimer, María Bermúdez, Nejc Bezak, Andrea Ficchì, Demetris Koutsoyiannis, Juraj Parajka, María José Polo, Guillaume Thirel, and Alberto Montanari
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We investigate the seasonal memory properties of a large sample of European rivers in terms of high and low flows. We compute seasonal correlations between peak and low flows and average flows in the previous seasons and explore the links with various physiographic and hydro-climatic catchment descriptors. Our findings suggest that there is a traceable physical basis for river memory which in turn can be employed to reduce uncertainty and improve probabilistic predictions of floods and droughts.
María J. Polo, Maria P. González-Dugo, and Christopher Neale
Proc. IAHS, 380, 1–2, https://doi.org/10.5194/piahs-380-1-2018, https://doi.org/10.5194/piahs-380-1-2018, 2018
Rafael Pimentel and Berit Arheimer
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-387, https://doi.org/10.5194/hess-2018-387, 2018
Revised manuscript not accepted
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The Västmanland wildfire, Sweden, burned 14 000 hectares and removed the Boreal forest in this area during the summer 2014. This empirical study evaluates the hydrological effects of this wildfire. A paired catchment methodology is used to evaluate 23 catchment characteristics of flow and physiography defined using in situ and remote sensing data. The results show a change in the snow dynamics over the burnt areas with shorter duration of the snow season and a higher stream flow during autumn.
Cristina Aguilar, Alberto Montanari, and María-José Polo
Hydrol. Earth Syst. Sci., 21, 3687–3700, https://doi.org/10.5194/hess-21-3687-2017, https://doi.org/10.5194/hess-21-3687-2017, 2017
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Assuming that floods are driven by both short- (meteorological forcing) and long-term perturbations (higher-than-usual moisture), we propose a technique for updating a season in advance the flood frequency distribution. Its application in the Po and Danube rivers helped to reduce the uncertainty in the estimation of floods and thus constitutes a promising tool for real-time management of flood risk mitigation. This study is the result of the stay of the first author at the University of Bologna.
Rafael Pimentel, Javier Herrero, and María José Polo
Hydrol. Earth Syst. Sci., 21, 805–820, https://doi.org/10.5194/hess-21-805-2017, https://doi.org/10.5194/hess-21-805-2017, 2017
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This study analyses the subgrid variability of the snow distribution in a Mediterranean region and formulates a parametric approach that includes these scale effects in the physical modelling of snow by means of accumulation–depletion curves associated with snow evolution patterns, by means of terrestrial photography. The results confirm that the use of these on a cell scale provides a solid foundation for the extension of point snow models to larger areas.
Javier Herrero and María José Polo
The Cryosphere, 10, 2981–2998, https://doi.org/10.5194/tc-10-2981-2016, https://doi.org/10.5194/tc-10-2981-2016, 2016
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We present 7 years of field work and modelling to assess the importance of the loss of water from the snow by means of evaposublimation in the Mediterranean mountains of Sierra Nevada. The actual evaposublimation rates were detected through detailed measurement of the mass fluxes from the snow. These data have led to some improvements in the modelling of the snow dynamics in this kind of mountainous semiarid regions. Evaposublimation is estimated to range 24–33% of total annual snowfall.
Federico Di Paolo, Barbara Cosciotti, Sebastian E. Lauro, Elisabetta Mattei, Mattia Callegari, Luca Carturan, Roberto Seppi, Francesco Zucca, and Elena Pettinelli
The Cryosphere Discuss., https://doi.org/10.5194/tc-2016-267, https://doi.org/10.5194/tc-2016-267, 2016
Preprint retracted
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Snow water equivalent is an important parameter for hydrological and climate change studies, however its measurement is tedious and time consuming. In this paper we show that it is possible to accurately measure snow water equivalent using electromagnetic methods. During a field campaign we tested the performances of traditional methods vs. those of a Ground Penetrating Radar, founding a very good agreement between the snow water equivalent values computed with the two different methods.
María J. Polo, Albert Rovira, Darío García-Contreras, Eva Contreras, Agustín Millares, Cristina Aguilar, and Miguel A. Losada
Proc. IAHS, 373, 45–49, https://doi.org/10.5194/piahs-373-45-2016, https://doi.org/10.5194/piahs-373-45-2016, 2016
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Regulation by reservoirs affects both the freshwater regime and the sediment delivery downstream. Spain is one the countries with more water storage capacity by reservoirs in the world. The spatial redistribution of the seasonal and annual water storage in reservoirs mainly for irrigation and urban supply has resulted in significant environmental impacts downstream. This work shows these effects in the Guadalquivir and the Ebro River basins, two of the largest regulated areas in Spain.
Cristina Aguilar, Alberto Montanari, and María José Polo
Proc. IAHS, 373, 189–192, https://doi.org/10.5194/piahs-373-189-2016, https://doi.org/10.5194/piahs-373-189-2016, 2016
M. Egüen, M. J. Polo, Z. Gulliver, E. Contreras, C. Aguilar, and M. A. Losada
Proc. IAHS, 370, 51–56, https://doi.org/10.5194/piahs-370-51-2015, https://doi.org/10.5194/piahs-370-51-2015, 2015
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This work shows the change on flood risk in the coastal areas of three hydrographic basins in South Spain during the reservoir expansion period. The results differentiate the impact of the regulation level on both the cumulative distribution functions of the fluvial discharge near the river mouth, and the associated damage related to the enhanced soil occupation during this period.
M. J. Pérez-Palazón, R. Pimentel, J. Herrero, C. Aguilar, J. M. Perales, and M. J. Polo
Proc. IAHS, 369, 157–162, https://doi.org/10.5194/piahs-369-157-2015, https://doi.org/10.5194/piahs-369-157-2015, 2015
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Sierra Nevada National Park (South Spain) constitute a key monitoring point for climate variability and its impacts. This work presents the local trend analysis of weather variables at this area together with additional snow-related variables. The joint analysis of weather and snow variables showed a decrease trend in the extent and persistence of the snow covered area over the area. The precipitation regime seems to be the most relevant driver on the snow regime forcing in Mediterranean areas.
L. Carturan, R. Filippi, R. Seppi, P. Gabrielli, C. Notarnicola, L. Bertoldi, F. Paul, P. Rastner, F. Cazorzi, R. Dinale, and G. Dalla Fontana
The Cryosphere, 7, 1339–1359, https://doi.org/10.5194/tc-7-1339-2013, https://doi.org/10.5194/tc-7-1339-2013, 2013
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Short summary
In Mediterranean regions, the spatiotemporal evolution of the snow cover can experiment quick changes and high frequency sensors are required to adequately monitor such shifts. This work presents a methodological approach to validate the improved MODIS daily snow cover maps, in a Sierra Nevada (southern Spain), from a reference data set obtained by Landsat TM data. The results show a significantly high correlation between the two snow map products at differents spatial scale.
In Mediterranean regions, the spatiotemporal evolution of the snow cover can experiment quick...
