Assessing machine learning models for gap filling daily rainfall series in a semiarid region of Spain

JA Bellido-Jiménez, JE Gualda, AP García-Marín - Atmosphere, 2021 - mdpi.com
The presence of missing data in hydrometeorological datasets is a common problem,
usually due to sensor malfunction, deficiencies in records storage and transmission, or other …

The history of rainfall data time-resolution in a wide variety of geographical areas

R Morbidelli, AP García-Marín, A Al Mamun… - Journal of …, 2020 - Elsevier
Collected rainfall records by gauges lead to key forcings in most hydrological studies.
Depending on sensor type and recording systems, such data are characterized by different …

Monthly precipitation forecasts using wavelet neural networks models in a semiarid environment

Accurate forecast of hydrological data such as precipitation is critical in order to provide
useful information for water resources management, playing a key role in different sectors …

Testing the hydrological coherence of high‐resolution gridded precipitation and temperature data sets

L Laiti, S Mallucci, S Piccolroaz, A Bellin… - Water Resources …, 2018 - Wiley Online Library
Assessing the accuracy of gridded climate data sets is highly relevant to climate change
impact studies, since evaluation, bias correction, and statistical downscaling of climate …

A quality control procedure for long-term series of daily precipitation data in a semiarid environment

J Estévez, A Llabrés-Brustenga… - Theoretical and Applied …, 2022 - Springer
The availability of quality precipitation records in the current climate situation is of great
importance in the scientific-technical field but also for the public institutions that manage the …

Quality assurance procedures for validating meteorological input variables of reference evapotranspiration in mendoza province (Argentina)

J Estévez, AP García-Marín, JA Morábito… - Agricultural Water …, 2016 - Elsevier
Validated meteorological data are required to make climate assessments, related decisions
and to appropriately compute other important parameters such as reference …

Estimating hourly beam and diffuse solar radiation in an alpine valley: A critical assessment of decomposition models

L Laiti, L Giovannini, D Zardi, G Belluardo, D Moser - Atmosphere, 2018 - mdpi.com
Accurate solar radiation estimates in Alpine areas represent a challenging task, because of
the strong variability arising from orographic effects and mountain weather phenomena …

The identification of an appropriate Minimum Inter‐event Time (MIT) based on multifractal characterization of rainfall data series

MT Medina‐Cobo, AP García‐Marín… - Hydrological …, 2016 - Wiley Online Library
Different hydrological models of sediment entrainment, infiltration, overland flow production,
soil loss, landslide occurrence, among others, need rainfall events data. The Minimum Inter …

Spatial regression test for ensuring temperature data quality in southern Spain

J Estévez, P Gavilán, AP García-Marín - Theoretical and applied …, 2018 - Springer
Quality assurance of meteorological data is crucial for ensuring the reliability of applications
and models that use such data as input variables, especially in the field of environmental …

Assessing the best gap-filling technique for river stage data suitable for low capacity processors and real-time application using IoT

AM Luna, ML Lineros, JE Gualda, JV Giráldez Cervera… - Sensors, 2020 - mdpi.com
Hydrometeorological data sets are usually incomplete due to different reasons
(malfunctioning sensors, collected data storage problems, etc.). Missing data do not only …