Calculation of potential evapotranspiration and calibration of the hargreaves equation using geostatistical methods over the last 10 years in central Italy

M Gentilucci, M Bufalini, M Materazzi, M Barbieri… - Geosciences, 2021 - mdpi.com
Potential evapotranspiration (ET0) is an indicator of great interest for water budget analysis
and the agricultural sector. Therefore, the purpose of this study was to make the calculation …

Modelling long-term monthly temperatures by several data-driven methods using geographical inputs.

O Kisi, H Sanikhani - International Journal of Climatology, 2015 - search.ebscohost.com
ABSTRACT This paper investigates the ability of five different data-driven methods, artificial
neural networks (ANNs), adaptive neuro-fuzzy inference system (ANFIS) with grid partition …

An investigation on generalization ability of artificial neural networks and M5 model tree in modeling reference evapotranspiration

O Kisi, Y Kilic - Theoretical and applied climatology, 2016 - Springer
The generalization ability of artificial neural networks (ANNs) and M5 model tree (M5Tree) in
modeling reference evapotranspiration (ET 0) is investigated in this study. Daily climatic …

Spatial and temporal monthly precipitation forecasting using wavelet transform and neural networks, Qara-Qum catchment, Iran

M Arab Amiri, Y Amerian, MS Mesgari - Arabian Journal of Geosciences, 2016 - Springer
This paper aims to provide a spatial and temporal analysis to prediction of monthly
precipitation data which are measured at irregularly spaced synoptic stations at discrete time …

Modeling Evapotranspiration Response to Climatic Forcings Using Data‐Driven Techniques in Grassland Ecosystems

X Dou, Y Yang - Advances in Meteorology, 2018 - Wiley Online Library
Remarkable progress has been made over the last decade toward characterizing the
mechanisms that dominate the exchange of water vapor between the biosphere and the …

A generalization of the M5 Tree model and artificial neural network model for estimating daily reference evapotranspiration under minimal climatic data conditions

SM Hosseini Vardanjani… - Journal of Water and …, 2024 - iwaponline.com
To enhance water use efficiency in agriculture, accurately estimating plant water
consumption is essential. This study examines the ability of artificial neural networks (ANN) …

基于GEP 和地理位置信息的湘鄂地区月参考作物腾发量模拟计算

王升, 付智勇, 陈洪松, 聂云鹏, 王克林 - 中国生态农业学报(中英文), 2015 - ecoagri.ac.cn
参考作物腾发量(ET 0) 是计算植被蒸散发的关键因子, 准确估算ET 0 对水资源管理,
灌溉制度设计等具有重要意义. 本研究利用湘鄂地区46 个气象站点1955-2005 …

Case Study: Reconstruction of Runoff Series of Hydrological Stations in the Nakdong River, Korea

J Kwak, J Lee, J Jung, HS Kim - Water, 2020 - mdpi.com
Reliable runoff series is sine qua non for flood or drought analysis as well as for water
resources management and planning. Since observed hydrological measurement such as …

Combination of satellite imagery with meteorological data for estimating reference evapotranspiration

D Montero, F Echeverry… - Revista de Teledetección, 2018 - polipapers.upv.es
Abstract The Food and Agriculture Organization of the United Nations (FAO) in its
publication No. 56 of the Irrigation and Drainage Series presents the FAO Penman-Monteith …

[PDF][PDF] SPATIO-TEMPORAL VARIABILITY AND INFLUENCE OF CLIMATIC PARAMETERS ON REFERENCE EVAPOTRANSPIRATION

MRP Vinayak - 2024 - krishikosh.egranth.ac.in
Climate change and its possible impact on reference evapotranspiration are the matter of
great concern for countries like India where the spatial and temporal variability in rainfall …