Maialen Iturbide

About Maialen Iturbide

Maialen Iturbide, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at Universidad de Cantabria, specializes in the field of climate, ecology, modeling, biogeography.

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

Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications

Regional scaling of sea surface temperature with global warming levels in the CMIP6 ensemble

Refining Remote Sensing precipitation Datasets in the South Pacific: An Adaptive Multi-Method Approach for Calibrating the TRMM Product

Consistency of the regional response to global warming levels from CMIP5 and CORDEX projections

The worldwide C3S CORDEX grand ensemble: A major contribution to assess regional climate change in the IPCC AR6 Atlas

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

Assessing the consistency of CORDEX multidomain projections in overlapping regions worldwide

On the need of bias adjustment for more plausible climate change projections of extreme heat

Maialen Iturbide Information

University

Position

___

Citations(all)

1173

Citations(since 2020)

1114

Cited By

287

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

19

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Maialen Iturbide Skills & Research Interests

climate

ecology

modeling

biogeography

Top articles of Maialen Iturbide

Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications

arXiv preprint arXiv:2311.03378

2023/11/1

Maialen Iturbide
Maialen Iturbide

H-Index: 9

Regional scaling of sea surface temperature with global warming levels in the CMIP6 ensemble

2023/10/24

Refining Remote Sensing precipitation Datasets in the South Pacific: An Adaptive Multi-Method Approach for Calibrating the TRMM Product

EGUsphere

2023/7/21

Maialen Iturbide
Maialen Iturbide

H-Index: 9

Consistency of the regional response to global warming levels from CMIP5 and CORDEX projections

Climate Dynamics

2023/10

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

Scientific Data

2022/10/15

Assessing the consistency of CORDEX multidomain projections in overlapping regions worldwide

EGU General Assembly Conference Abstracts

2022/5

On the need of bias adjustment for more plausible climate change projections of extreme heat

Atmospheric Science Letters

2021

Maialen Iturbide
Maialen Iturbide

H-Index: 9

José Manuel Gutiérrez
José Manuel Gutiérrez

H-Index: 18

Climadjust: an operational service to adjust biases in climate projections

2022

Weather Variables Associated with Spore Dispersal of Lecanosticta acicola Causing Pine Needle Blight in Northern Spain

Plants

2021/12/16

Maialen Iturbide
Maialen Iturbide

H-Index: 9

Forecasting water temperature in lakes and reservoirs using seasonal climate prediction

Water Research

2021/8/1

James Sample
James Sample

H-Index: 13

Maialen Iturbide
Maialen Iturbide

H-Index: 9

Climadjust: easing the Bias Adjustment process through a user-friendly web service

2021/3/3

Assessing multidomain overlaps and grand ensemble generation in CORDEX regional projections

Geophysical Research Letters

2020/2/28

Rodrigo Manzanas
Rodrigo Manzanas

H-Index: 17

Maialen Iturbide
Maialen Iturbide

H-Index: 9

An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets

Earth System Science Data Discussions

2020/4/2

Testing bias adjustment methods for regional climate change applications under observational uncertainty and resolution mismatch

Atmospheric Science Letters

2020/7

Maialen Iturbide
Maialen Iturbide

H-Index: 9

Douglas Maraun
Douglas Maraun

H-Index: 30

Exploring the role of observational uncertainty and resolution mismatch in the application of bias adjustment methods

EGU General Assembly Conference Abstracts

2020/5

Maialen Iturbide
Maialen Iturbide

H-Index: 9

Douglas Maraun
Douglas Maraun

H-Index: 30

Statistical downscaling with the downscaleR package (v3. 1.0): contribution to the VALUE intercomparison experiment

Geoscientific Model Development

2020/4/1

See List of Professors in Maialen Iturbide University(Universidad de Cantabria)