Johanna Orellana-Alvear

About Johanna Orellana-Alvear

Johanna Orellana-Alvear, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Universidad de Cuenca, specializes in the field of Artificial intelligence, Hidrometeorology, Data Science, Remote Sensing, Andes.

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

The Spatio-Temporal Cloud Frequency Distribution in the Galapagos Archipelago as Seen from MODIS Cloud Mask Data

Characterization of Extreme Rainfall Events Classes in the Tropical Andes by Using Weather Radar Data

Determination of climatic conditions related to precipitation anomalies in the Tropical Andes by means of the random forest algorithm and novel climate indices

Hydrometeorological factors controlling the stable isotopic composition of precipitation in the highlands of south Ecuador

The Coastal El Niño event of 2017 in Ecuador and Peru: A weather radar analysis

Flood early warning systems using machine learning techniques: The case of the Tomebamba Catchment at the southern Andes of Ecuador

Assessment of Satellite-Based Rainfall Products Using a X-Band Rain Radar Network in the Complex Terrain of the Ecuadorian Andes

Calibration of X-band radar for extreme events in a spatially complex precipitation region in north peru: Machine learning vs. empirical approach

Johanna Orellana-Alvear Information

University

Position

Postdoctoral Researcher

Citations(all)

464

Citations(since 2020)

443

Cited By

151

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Johanna Orellana-Alvear Skills & Research Interests

Artificial intelligence

Hidrometeorology

Data Science

Remote Sensing

Andes

Top articles of Johanna Orellana-Alvear

The Spatio-Temporal Cloud Frequency Distribution in the Galapagos Archipelago as Seen from MODIS Cloud Mask Data

Atmosphere

2023/7/29

Characterization of Extreme Rainfall Events Classes in the Tropical Andes by Using Weather Radar Data

EGU General Assembly Conference Abstracts

2023/5

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

Determination of climatic conditions related to precipitation anomalies in the Tropical Andes by means of the random forest algorithm and novel climate indices

International Journal of Climatology

2022/8

Hydrometeorological factors controlling the stable isotopic composition of precipitation in the highlands of south Ecuador

Journal of Hydrometeorology

2022/7

The Coastal El Niño event of 2017 in Ecuador and Peru: A weather radar analysis

Remote Sensing

2022/1

Flood early warning systems using machine learning techniques: The case of the Tomebamba Catchment at the southern Andes of Ecuador

Hydrology

2021/12

Paul Muñoz
Paul Muñoz

H-Index: 3

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

Assessment of Satellite-Based Rainfall Products Using a X-Band Rain Radar Network in the Complex Terrain of the Ecuadorian Andes

Atmosphere

2021/12/14

Calibration of X-band radar for extreme events in a spatially complex precipitation region in north peru: Machine learning vs. empirical approach

Atmosphere

2021/11/26

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

An objective separation of rainfall classes in the high tropical Andes by using a clustering analysis.

EGU General Assembly Conference Abstracts

2021/4

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

Long short-term memory networks for real-time runoff forecasting using remotely sensed data

EGU General Assembly Conference Abstracts

2021/4

Paul Muñoz
Paul Muñoz

H-Index: 3

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

Clustering of rainfall types using micro rain radar and laser disdrometer observations in the tropical Andes

Remote Sensing

2021/1

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

Influence of random forest hyperparameterization on short-term runoff forecasting in an andean mountain catchment

Atmosphere

2021/2

Pablo Contreras
Pablo Contreras

H-Index: 11

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

Paul Muñoz
Paul Muñoz

H-Index: 3

The role of weather radar in rainfall estimation and its application in meteorological and hydrological modelling—A review

2021/1/20

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

Application of a machine learning technique for developing short-term flood and drought forecasting models in tropical mountainous catchments

Integrated Research on Disaster Risks: Contributions from the IRDR Young Scientists Programme

2021

Paul Muñoz
Paul Muñoz

H-Index: 3

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

A novel classification rainfall type using a clustering approach in the tropical Andes.

EGU General Assembly Conference Abstracts

2020/5

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

Atmosphere-surface fluxes modeling for the high Andes: The case of páramo catchments of Ecuador

Science of The Total Environment

2020/2/20

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

Using k-means cluster analysis to regionalize precipitation in the Tropical Andes

AGU Fall Meeting Abstracts

2020/12

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

Assessment of native radar reflectivity and radar rainfall estimates for discharge forecasting in mountain catchments with a random forest model

Remote Sensing

2020/1

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

Paul Muñoz
Paul Muñoz

H-Index: 3

Pablo Contreras
Pablo Contreras

H-Index: 11

Comparison of Machine Learning Techniques Powering Flood Early Warning Systems

2020/5/5

Johanna Orellana-Alvear
Johanna Orellana-Alvear

H-Index: 6

Retrieving high resolution rainfall data for Ecuador using GOES-16 and IMERG data

EGU General Assembly Conference Abstracts

2020/5

See List of Professors in Johanna Orellana-Alvear University(Universidad de Cuenca)