Zobrazeno 1 - 10
of 880
pro vyhledávání: '"R. Pimentel"'
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 385, Pp 297-303 (2024)
In this paper, the Global Surface Water Explorer (GSWE) was combined with bathymetric and historical meteorological data to quantify water balance during the period 1984–2020 in the Primera de Palos freshwater lagoon (Southwest Spain). This allowed
Externí odkaz:
https://doaj.org/article/cded88a0225a4e2098acceb035bb3153
Autor:
E. Sebok, H. J. Henriksen, E. Pastén-Zapata, P. Berg, G. Thirel, A. Lemoine, A. Lira-Loarca, C. Photiadou, R. Pimentel, P. Royer-Gaspard, E. Kjellström, J. H. Christensen, J. P. Vidal, P. Lucas-Picher, M. G. Donat, G. Besio, M. J. Polo, S. Stisen, Y. Caballero, I. G. Pechlivanidis, L. Troldborg, J. C. Refsgaard
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 5605-5625 (2022)
Various methods are available for assessing uncertainties in climate impact studies. Among such methods, model weighting by expert elicitation is a practical way to provide a weighted ensemble of models for specific real-world impacts. The aim is to
Externí odkaz:
https://doaj.org/article/0b1a090d8c3a4240b0d344e12b677079
Publikováno v:
Earth System Science Data, Vol 13, Pp 1335-1359 (2021)
The main drawback of the reconstruction of high-resolution distributed global radiation (Rg) time series in mountainous semiarid environments is the common lack of station-based solar radiation registers. This work presents 19 years (2000–2018) of
Externí odkaz:
https://doaj.org/article/cf36a293a556484abc6f595efa272854
Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 535-559 (2020)
Recent advancements in catchment hydrology (such as understanding catchment similarity, accessing new data sources, and refining methods for parameter constraints) make it possible to apply catchment models for ungauged basins over large domains. Her
Externí odkaz:
https://doaj.org/article/b43a4be10b5b4e039988d76c97c3a029
Publikováno v:
Earth System Science Data, Vol 11, Pp 393-407 (2019)
This work presents the Guadalfeo Monitoring Network in 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 annu
Externí odkaz:
https://doaj.org/article/47b1bc5063dc4d8fa8aced8c5ad16dca
Autor:
R. Pimentel, C. Marín, L. De Gregorio, M. Callegari, M. J. Pérez-Palazón, C. Notarnicola, M. J. Polo
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 380, Pp 67-72 (2018)
Remote sensing is the only feasible data source for distributed modelling of snow in mountain regions on medium to large scales, due to the limited access to these areas together with the lack of dense ground monitoring stations for snow variables. O
Externí odkaz:
https://doaj.org/article/e284382243e64cafaa2ab7290e4da3f2
Publikováno v:
Hydrology and Earth System Sciences, Vol 21, Iss 2, Pp 805-820 (2017)
Subgrid variability introduces non-negligible scale effects on the grid-based representation of snow. This heterogeneity is even more evident in semiarid regions, where the high variability of the climate produces various accumulation melting cycles
Externí odkaz:
https://doaj.org/article/dfcfeb5ae0534b32a03a7a5581ef397d
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 369, Pp 157-162 (2015)
Mountain areas in Mediterranean regions constitute key monitoring points for climate variability and its impacts, but long time datasets are not always available due to the difficult access to high areas, relevant for capturing temperature and pre
Externí odkaz:
https://doaj.org/article/a4b1261f93694babb77f9a3f9d69da31
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 368, Pp 33-39 (2015)
This study proposes the use of both physically-distributed hydrological modelling in combination with satellite remote sensing images, to study the evolution of the snowpack in the Sierra Nevada mountains, in southern Spain. The snowmelt-accumulation
Externí odkaz:
https://doaj.org/article/8f732adb3cba4e708a2c702de741a494
Publikováno v:
Revista Espanola de Enfermedades Digestivas, Vol 102, Iss 5, Pp 308-313 (2010)
Objective: endoanal ultrasonography can detect organic causes of anal pain without pathology on physical examination. The aim of this study is to evaluate the importance of endoanal ultrasonography in the diagnosis and therapeutic management of idiop
Externí odkaz:
https://doaj.org/article/2b535c1834cd4f6f87bb4db5563d812d