Rodrigo Manzanas

Rodrigo Manzanas

Universidad de Cantabria

H-index: 25

Europe-Spain

About Rodrigo Manzanas

Rodrigo Manzanas, With an exceptional h-index of 25 and a recent h-index of 24 (since 2020), a distinguished researcher at Universidad de Cantabria, specializes in the field of climate change and variability, climate services, seasonal forecasting, statistical downscaling, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Assessing three perfect prognosis methods for statistical downscaling of climate change precipitation scenarios

Extending A Posteriori Random Forests for Multivariate Statistical Downscaling of Climate Change Projections

Bayesian Network-Informed Conditional Random Forests for Probabilistic Multisite Downscaling of Precipitation Occurrence

Future of land surface water availability over the Mediterranean basin and North Africa: Analysis and synthesis from the CMIP6 exercise

An FAO model comparison: Python Agroecological Zoning (PyAEZ) and AquaCrop to assess climate change impacts on crop yields in Nepal

Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository

Downscaling multi-model climate projection ensembles with deep learning (DeepESD): contribution to CORDEX EUR-44

Estimating changes in air pollutant levels due to COVID-19 lockdown measures based on a business-as-usual prediction scenario using data mining models: A case-study for urban …

Rodrigo Manzanas Information

University

Position

(Dpt. of Applied Mathematics and Computer Science)

Citations(all)

2340

Citations(since 2020)

2043

Cited By

764

hIndex(all)

25

hIndex(since 2020)

24

i10Index(all)

46

i10Index(since 2020)

43

Email

University Profile Page

Universidad de Cantabria

Google Scholar

View Google Scholar Profile

Rodrigo Manzanas Skills & Research Interests

climate change and variability

climate services

seasonal forecasting

statistical downscaling

machine learning

Top articles of Rodrigo Manzanas

Title

Journal

Author(s)

Publication Date

Assessing three perfect prognosis methods for statistical downscaling of climate change precipitation scenarios

Geophysical Research Letters

MN Legasa

Soulivanh Thao

Mathieu Vrac

R Manzanas

2023/5/16

Extending A Posteriori Random Forests for Multivariate Statistical Downscaling of Climate Change Projections

EGU General Assembly Conference Abstracts

Mikel N Legasa

Soulivanh Thao

Mathieu Vrac

Ana Casanueva

Rodrigo Manzanas

2023/5

Bayesian Network-Informed Conditional Random Forests for Probabilistic Multisite Downscaling of Precipitation Occurrence

Authorea Preprints

Mikel Néstor Legasa

Richard E Chandler

Rodrigo Manzanas

2023/4/16

Future of land surface water availability over the Mediterranean basin and North Africa: Analysis and synthesis from the CMIP6 exercise

Atmospheric Science Letters

Khadija Arjdal

Fatima Driouech

Étienne Vignon

Frédérique Chéruy

Rodrigo Manzanas

...

2023/11

An FAO model comparison: Python Agroecological Zoning (PyAEZ) and AquaCrop to assess climate change impacts on crop yields in Nepal

Environmental Development

Jorge Alvar-Beltrán

Riccardo Soldan

Eline Vanuytrecht

Ana Heureux

Nirman Shrestha

...

2023/9/1

Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository

Scientific Data

Maialen Iturbide

Jesús Fernández

José M Gutiérrez

Anna Pirani

David Huard

...

2022/10/15

Downscaling multi-model climate projection ensembles with deep learning (DeepESD): contribution to CORDEX EUR-44

Geoscientific Model Development

Jorge Baño-Medina

Rodrigo Manzanas

Ezequiel Cimadevilla

Jesús Fernández

Jose González-Abad

...

2022/9/6

Estimating changes in air pollutant levels due to COVID-19 lockdown measures based on a business-as-usual prediction scenario using data mining models: A case-study for urban …

Science of the Total Environment

Jaime González-Pardo

Sandra Ceballos-Santos

Rodrigo Manzanas

Miguel Santibáñez

Ignacio Fernández-Olmo

2022/6/1

Modelling climate change impacts on wet and dry season rice in Cambodia

Journal of Agronomy and Crop Science

Jorge Alvar‐Beltrán

Riccardo Soldan

Proyuth Ly

Vang Seng

Khema Srun

...

2022/10

Climate trends and extremes in the Indus River Basin, Pakistan: implications for agricultural production

Atmosphere

Ana Magali Carrera Heureux

Jorge Alvar-Beltrán

Rodrigo Manzanas

Mehwish Ali

Robina Wahaj

...

2022/3

Modeling streamflow using multiple precipitation products in a topographically complex catchment

Modeling Earth Systems and Environment

Muhammad Usman

Christopher E Ndehedehe

Burhan Ahmad

Rodrigo Manzanas

Oluwafemi E Adeyeri

2022/6

On the reliability of global seasonal forecasts: sensitivity to ensemble size, hindcast length and region definition

Rodrigo García Manzanas

Verónica Torralba

Llorenç Lledó Ponsati

Pierre-Antoine Bretonnière

2022/9/16

Assessing the effect of spatial–temporal droughts on dominant crop yield changes in Central Malawi

Environmental Monitoring and Assessment

Sylvester Richard Chikabvumbwa

Nasrin Salehnia

Rodrigo Manzanas

Cherifa Abdelbaki

Abdellatif Zerga

2022/2

Testing deep learning methods for downscaling climate change projections: The DeepESD multi-model dataset

EGU General Assembly Conference Abstracts

Jorge Baño-Medina

Rodrigo Manzanas

Ezequiel Cimadevilla

Jesús Fernández

Antonio S Cofiño

...

2022/3/25

Climate change impacts on irrigated crops in Cambodia

Agricultural and Forest Meteorology

Jorge Alvar-Beltrán

Riccardo Soldan

Proyuth Ly

Vang Seng

Khema Srun

...

2022/9/15

El juego como recurso didáctico para las matemáticas en la universidad. Experiencia en varios Grados de Ingeniería

Rodrigo García Manzanas

María Dolores Frías Domínguez

2022/12/12

Changes in mean and extreme temperature and precipitation events from different weighted multi-model ensembles over the northern half of Morocco

Climate Dynamics

Saloua Balhane

Fatima Driouech

Omar Chafki

Rodrigo Manzanas

Abdelghani Chehbouni

...

2022/1

Assessing the Suitability of A Posteriori Random Forests for Downscaling Climate Change Projections

EGU General Assembly Conference Abstracts

Mikel N Legasa

Rodrigo Manzanas

2022/5

Modeling implications of climate induced streamflow changes on the fish species of the Soan River, Pakistan

Modeling Earth Systems and Environment

Muhammad Usman

Christopher E Ndehedehe

Burhan Ahmad

Rodrigo Manzanas

2022/9

On the benefits of bias correction techniques for streamflow simulation in complex terrain catchments: a case-study for the Chitral River Basin in Pakistan

Hydrology

Muhammad Usman

Rodrigo Manzanas

Christopher E Ndehedehe

Burhan Ahmad

Oluwafemi E Adeyeri

...

2022/10/24

See List of Professors in Rodrigo Manzanas University(Universidad de Cantabria)

Co-Authors

H-index: 65
José M. Gutiérrez

José M. Gutiérrez

Universidad de Cantabria

H-index: 37
Jesús Fernández

Jesús Fernández

Universidad de Cantabria

H-index: 28
Joaquín Bedia Jiménez

Joaquín Bedia Jiménez

Universidad de Cantabria

H-index: 27
Leonard K. Amekudzi or Leonard Amekudzi (BSc. DipEd, MPhil, Dr.rer.nat)

Leonard K. Amekudzi or Leonard Amekudzi (BSc. DipEd, MPhil, Dr.rer.nat)

Kwame Nkrumah University of Science and Technology

H-index: 19
Maria Dolores Frias

Maria Dolores Frias

Universidad de Cantabria

H-index: 16
Kwasi Preko

Kwasi Preko

Kwame Nkrumah University of Science and Technology

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