Results 11 to 20 of about 24,488,859 (359)
Hydrological model calibration with uncertain discharge data
Hydrological Sciences Journal, 2020 Discharge data used to calibrate and evaluate hydrological models can be highly uncertain and this uncertainty affects the conclusions that we can draw from modelling results.
I. Westerberg +4 more
semanticscholar +2 more sources
The HBV.IANIGLA Hydrological Model [PDF]
The R Journal, 2021 Fil: Pitte, Pierre. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología,
Ezequiel Toum +4 more
openaire +2 more sources
Acta hydrotechnica, 2022 This paper discusses the highly topical issue of forming and using hydrological models. Their significance in water resource management and achieving sustainable development goals is underlined, particularly in the context of climate change. Some shortcomings in hydrological process modelling are pointed out, ones that can significantly affect the ...
Icen Yoosefdoost +3 more
openaire +2 more sources
Very High Resolution Projections over Italy under different CMIP5 IPCC scenarios
Scientific Data, 2023 This paper introduces VHR-PRO_IT (Very High-Resolution PROjections for ITaly), an open access hourly climate projection with a resolution of ≃2.2 km (i.e., Convection Permitting Scale) up to 2050, covering the Italian peninsula and some neighbouring ...
Mario Raffa +7 more
doaj +1 more source
Data, 2021 This work presents a new dataset for recent climate developed within the Highlander project by dynamically downscaling ERA5 reanalysis, originally available at ≃31 km horizontal resolution, to ≃2.2 km resolution (i.e., convection permitting scale ...
Mario Raffa +6 more
doaj +1 more source
Discover Artificial Intelligence, 2022 Landslide early warning systems at regional scale are typically based on correlations between landslides that occurred in the past and rainfall monitoring data in order to identify trigger rainfall thresholds. Recently, the availability of large datasets
Marco Pota +5 more
doaj +1 more source
Frontiers in Earth Science, 2021 To date, the assessment of hydrological climate change impacts, not least on pluvial flooding, has been severely limited by i) the insufficient spatial resolution of regional climate models (RCMs) as well as ii) the simplified description of key ...
Jonas Olsson +7 more
doaj +1 more source
From CFD to GIS: a methodology to implement urban microclimate georeferenced databases
Techne, 2023 The objective of this paper is to present a methodology for the integration of a Computational Fluid Dynamics (CFD) microclimate simulation and a Geographic Information System (GIS).
Matteo Trane +3 more
doaj +1 more source
Quantile-Based Hydrological Modelling [PDF]
Water, 2021 Predictive uncertainty in hydrological modelling is quantified by using post-processing or Bayesian-based methods. The former methods are not straightforward and the latter ones are not distribution-free (i.e., assumptions on the probability distribution of the hydrological model’s output are necessary).
Hristos Tyralis +1 more
openaire +2 more sources
Water Resources Research, 2020 Hydrological model calibration combining Earth observations and in situ measurements is a promising solution to overcome the limitations of the traditional streamflow‐only calibration.
M. Dembélé +4 more
semanticscholar +1 more source