Assessing machine learning models for gap filling daily rainfall series in a semiarid region of Spain
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 …
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 …
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 …
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
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 …
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 …
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 …
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
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 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 …
soil loss, landslide occurrence, among others, need rainfall events data. The Minimum Inter …
Spatial regression test for ensuring temperature data quality in southern Spain
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 …
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 …
(malfunctioning sensors, collected data storage problems, etc.). Missing data do not only …