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CRISTINA PRIETO SIERRA

Publicaciones
16
Proyectos
3
Datasets
2

cristina.prieto@unican.es

Edificio IH Cantabria. C/ Isabel Torres, 15 (PCTCAN). 39011 Santander

Personal Fundación Instituto de Hidráulica; Investigador

Programa Oficial de Doctorado en Ciencias y Tecnologías Para la Gestión de la Costa

Ingeniería Hidráulica Y De Costas

INSTITUTO DE HIDRAULICA AMBIENTAL

Identificadores

Publicaciones Proyectos Datasets

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16 resultados

River Bathymetry acquisition techniques and its utility for river hydrodynamic modeling

Capítulo de libro

Handbook of hydroinformatics: volume III: water data management best practices

Autoría: AZAZKHAN I. PATHAN, DHRUVESH PATEL, DIPAK R. SAMAL, CRISTINA PRIETO SIERRA, SAEID ESLAMIAN

2023

Use of big data for flood assessment through HEC-RAS model: a study of Purna river of Navsari

Capítulo de libro

Flood forecasting and hydraulic structures. Proceedings of 26th International Conference on Hydraulics, Water Resources and Coastal Engineering (HYDRO 2021)

Autoría: AZAZKHAN I. PATHAN, P.G. AGNIHOTRI, DHRUVESH PATEL, P.J. GANDHI, CRISTINA PRIETO SIERRA, USMAN MOHSENI, NILESH PATIDAR

2023

An Exploration of Bayesian Identification of Dominant Hydrological Mechanisms in Ungauged Catchments

Artículo de Revista

Water Resources Research, 2022,58(3), e2021WR030705

Autoría: CRISTINA PRIETO SIERRA, NATALIYA LE VINE, DMITRI KAVETSKI, FABRIZIO FENICIA, ANDREAS SCHEIDEGGER, CLAUDIA VITOLO

01/03/2022

Towards an extension of the Model Conditional Processor: predictive uncertainty quantification of monthly streamflow via Gaussian mixture models and clusters

Artículo de Revista

Water, 2022, 14(8), 1261

Autoría: JONATHAN ROMERO CUÉLLAR, CRISTHIAN J. GASTULO TAPIA, MARIO R. HERNÁNDEZ LÓPEZ, CRISTINA PRIETO SIERRA, FÉLIX FRANCÉS

13/04/2022

Effect of climate change on sea level rise with special reference to Indian Coastline

Comunicación a Congreso

Intelligent Computing & Optimization: Proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021)

Autoría: DUMMU KALYAN, AZAZKHAN IBRAHIMKHAN PATHAN, P. G. AGNIHOTRI, MOHAMMAD YASIN AZIMI, DARYOSH FROZAN, JOSEPH SEBASTIAN, USMAN MOHSENI, DHRUVESH PATEL, CRISTINA PRIETO SIERRA

2022

Design and analysis of water distribution network using Epanet 2.0 and Loop 4.0: A case study of Narangi Village

Comunicación a Congreso

Intelligent Computing & Optimization: Proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021)

Autoría: USMAN MOHSENI, AZAZKHAN I. PATHAN, P. G. AGNIHOTRI, NILESH PATIDAR, SHABIR AHMAD ZAREER, D. KALYAN, V. SARAN, DHRUVESH PATEL, CRISTINA PRIETO SIERRA

2022

What Role Does Hydrological Science Play in the Age of Machine Learning?

Artículo de Revista

Water Resources Research Volume 57, Issue 3 03e2020WR028091

Autoría: GREY S. NEARING, FREDERIK KRATZERT, ALDEN KEEFE SAMPSON, CRAIG S. PELISSIER, DANIEL KLOTZ, JONATHAN M. FRAME, CRISTINA PRIETO SIERRA, HOSHIN V. GUPTA

01/03/2021

Identification of dominant hydrological mechanisms using Bayesian inference, multiple statistical hypothesis testing and flexible models

Artículo de Revista

Water Resources Research, 2021, 57(8), e2020WR028338

Autoría: CRISTINA PRIETO SIERRA, DMITRI KAVETSKI, NATALIYA LE VINE, CESAR ALVAREZ DIAZ, RAUL MEDINA SANTAMARIA

2021

Identifying the efficacy of tidal waves on flood assessment study: a case of coastal urban flooding

Artículo de Revista

Arabian Journal of Geosciences, 2021, 14, 2132

Autoría: AZAZKHAN IBRAHIMKHAN PATHAN, PRASIT GIRISH AGNIHOTRI, DHRUVESH PATEL, CRISTINA PRIETO SIERRA

2021

Does information theory provide a new paradigm for Earth Science? hypothesis testing

Artículo de Revista

Water Resources Research, 2020, 56(2), e2019WR024918

Autoría: GREY S. NEARING, BENJAMIN L. RUDDELL, ANDREW R. BENNETT, CRISTINA PRIETO SIERRA, HOSHIN V. GUPTA

01/02/2020

Preface: Advances in flood risk assessment and management

Artículo de Revista

Natural hazards and earth system sciences 20, 1045-1048 2020

Autoría: CRISTINA PRIETO SIERRA, DHRUVESH P. PATEL, DAWEI HAN

01/04/2020

Twenty-three unsolved problems in hydrology (UPH)–a community perspective

Artículo de Revista

Hydrological Sciences Journal, 2019, 64(10), 1141?1158

Autoría: GÜNTER BLÖSCHL, MARC F.P. BIERKENS, ANTONIO CHAMBEL, CHRISTOPHE CUDENNEC, GEORGIA DESTOUNI, ALDO FIORI, JAMES W. KIRCHNE, JEFFREY J. MCDONNELL, HUBERT H.G. SAVENIJE, MURUGESU SIVAPALAN, CHRISTINE STUMPP, ELENA TOTH, ELENA VOLPI, GEMMA CARR, CLAIRE LUPTON, JOSÈ SALINAS, BORBÁLA SZÉLES, ALBERTO VIGLIONE, CRISTINA PRIETO SIERRA, MARIA-HELENA RAMOS

2019

Flow prediction in ungauged catchments using probabilistic random forests regionalization and new statistical adequacy tests

Artículo de Revista

Water Resources Research, 2019, 55(5), 4364-4392

Autoría: CRISTINA PRIETO SIERRA, NATALIYA LE VINE, DMITRI KAVETSKI, EDUARDO GARCIA ALONSO, RAUL MEDINA SANTAMARIA

01/05/2019

A ranking of hydrological signatures based on their predictability in space

Artículo de Revista

Water Resources Research, 2018, 54(11), 8792-8812

Autoría: N ADDOR, G. NEARING, CRISTINA PRIETO SIERRA, A.J. NEWMAN, N. LE VINE, M.P. CLARK

01/11/2018

Identificación de los mecanismos dominantes en cuencas sin aforos empleando una aproximación bayesiana

Comunicación a Congreso

V Jornadas de Ingeniería del Agua entornos fluviales y aguas de transición: impactos de los medios urbanos. Libro de resúmenes

Autoría: CRISTINA PRIETO SIERRA, N. LE VINE, C. VITOLO, EDUARDO GARCIA ALONSO, RAUL MEDINA SANTAMARIA, CESAR ALVAREZ DIAZ

2017

Reducing model structural uncertainty in predictions for ungauged basins via Bayesian approach

Comunicación a Congreso

Geophysical Research Abstracts Vol. 18, EGU2016-8580-2, 2016

Autoría: CRISTINA PRIETO SIERRA, NATALIYA LE VINE, CLAUDIA VITOLO, EDUARDO GARCIA ALONSO, RAUL MEDINA SANTAMARIA

2016

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CRISTINA PRIETO SIERRA

Identificadores

River Bathymetry acquisition techniques and its utility for river hydrodynamic modeling

Use of big data for flood assessment through HEC-RAS model: a study of Purna river of Navsari

An Exploration of Bayesian Identification of Dominant Hydrological Mechanisms in Ungauged Catchments

Towards an extension of the Model Conditional Processor: predictive uncertainty quantification of monthly streamflow via Gaussian mixture models and clusters

Effect of climate change on sea level rise with special reference to Indian Coastline

Design and analysis of water distribution network using Epanet 2.0 and Loop 4.0: A case study of Narangi Village

What Role Does Hydrological Science Play in the Age of Machine Learning?

Identification of dominant hydrological mechanisms using Bayesian inference, multiple statistical hypothesis testing and flexible models

Identifying the efficacy of tidal waves on flood assessment study: a case of coastal urban flooding

Does information theory provide a new paradigm for Earth Science? hypothesis testing

Preface: Advances in flood risk assessment and management

Twenty-three unsolved problems in hydrology (UPH)–a community perspective

Flow prediction in ungauged catchments using probabilistic random forests regionalization and new statistical adequacy tests

A ranking of hydrological signatures based on their predictability in space

Identificación de los mecanismos dominantes en cuencas sin aforos empleando una aproximación bayesiana

Reducing model structural uncertainty in predictions for ungauged basins via Bayesian approach