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Thomas Huld, Elena Paietta, Paolo Zangheri and Irene Pinedo Pascua
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Kidoo Park, Yeongjeong Seong, Younghun Jung, Ilro Youn and Cheon Kyu Choi
The methods for improving the accuracy of water level prediction were proposed in this study by selecting the Gated Recurrent Unit (GRU) model, which is effective for multivariate learning at the Paldang Bridge station in Han River, South Korea, where th...
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Yeweon Kim, Hi-Kyoung Jang and Ki-Hyung Yu
Accurate standard meteorological data sets for each city are essential elements to assess and analyze high-performance buildings quantitatively in order to ensure that they comply with energy saving policies of the nation. ECO2, which is an assessment pr...
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Ali Rahmat
Pág. 1 - 6
In the developing country or poor country difficult to access meteorological data such as air temperature, it's caused by the limitation of equipment or funding. Air temperature is one of the meteorological data commonly used to predict evaporation or to...
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Ricardo Corradi do Prado, Gabriel Constantino Blain, Michelle Cristina Araujo Picoli (Author)
Pág. e34947
This study evaluated the use of rainfall data from the European Center for Medium-Range Weather Forecast (ECMWF) for monitoring meteorological drought in the state of São Paulo, based on rainfall data and on the Standardized Precipitation Index (SP...
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Ricardo Corradi do Prado, Gabriel Constantino Blain, Michelle Cristina Araujo Picoli
Pág. e34947
This study evaluated the use of rainfall data from the European Center for Medium-Range Weather Forecast (ECMWF) for monitoring meteorological drought in the state of São Paulo, based on rainfall data and on the Standardized Precipitation Index (SP...
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Yao Li, Jin Xie, Huitao Liu and Lipu Han
The alfalfa harvest time is determined by the alfalfa growth stage and the weather factors at that time, which will affect the yield and quality of the alfalfa hay. Addressing issues like the lack of precise harvesting timing and underutilized production...
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Min Li, Xuejing Wu, Yulei Zhu, Najeeb Ullah and Youhong Song
The frequency of heat events is likely to increase due to global climate change, posing an increasing risk to wheat production. To optimize crop management strategies for coping with future climates, it is crucial to quantify the high-temperature occurre...
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Pietros André Balbino dos Santos, Felipe Schwerz, Luiz Gonsaga de Carvalho, Victor Buono da Silva Baptista, Diego Bedin Marin, Gabriel Araújo e Silva Ferraz, Giuseppe Rossi, Leonardo Conti and Gianluca Bambi
Reference evapotranspiration (ET0) is one important agrometeorological parameter for hydrological studies and climate risk zoning. ET0 calculation by the FAO Penman?Monteith method requires several input data. However, the availability of climate data ha...
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Cong Li, Xupeng Ren and Guohui Zhao
Ground meteorological observation data (GMOD) are the core of research on earth-related disciplines and an important reference for societal production and life. Unfortunately, due to operational issues or equipment failures, missing values may occur in G...
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Jianyong Zhang, Yanling Zhao, Zhenqi Hu and Wu Xiao
Rapid estimation of above-ground biomass (AGB) with high accuracy is essential for monitoring crop growth status and predicting crop yield. Recently, remote sensing techniques using unmanned aerial systems (UASs) have exhibited great potential in obtaini...
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Su-Hoon Choi, So-Yeon Park, Ung Yang, Beomseon Lee, Min-Soo Kim and Sang-Hyun Lee
Typhoons, which are a common natural disaster in Korea, have seen a rapid increase in annual economic losses over the past decade. The objective of this study was to utilize historical crop insurance records to predict fruit drop rates caused by typhoons...
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Chunchang Zhang, Tianye Lu, Zhihuan Wang and Xiangming Zeng
The Carbon Intensity Index (CII) exerts a substantial impact on the operations and valuation of international shipping vessels. Accurately predicting the CII of ships could help ship operators dynamically evaluate the possible CII grate of a ship at the ...
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Hamza Salahudin, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Muhammad Hammad, Ali Raza, Alamgir Akhtar and Muhammad Usman Ali
To maximize crop production, reference evapotranspiration (ET0) measurement is crucial for managing water resources and planning crop water needs. The FAO-PM56 method is recommended globally for estimating ET0 and evaluating alternative methods due to it...
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Heman Abdulkhaleq A. Gaznayee, Sara H. Zaki, Ayad M. Fadhil Al-Quraishi, Payman Hussein Aliehsan, Kawa K. Hakzi, Hawar Abdulrzaq S. Razvanchy, Michel Riksen and Karrar Mahdi
To increase agricultural productivity and ensure food security, it is important to understand the reasons for variations in irrigation over time. However, researchers often avoid investigating water productivity due to data availability challenges. This ...
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Marino Marrocu and Luca Massidda
Rainfall forecasting plays a key role in mitigating environmental risks in urban areas, which are subject to increasing hydrogeological risk due to transformations in the urban landscape. We present a new technique for probabilistic precipitation nowcast...
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Georgia Garani, Dionysios Papadatos, Sotiris Kotsiantis and Vassilios S. Verykios
Data analysis of weather phenomena to either predict or control human imprint on the environment requires the collection of various forms of observational data ranging from historical and longitudinal to forecast. The objective of this research paper is ...
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Camila Tavares Pereira,Vandoir Bourscheidt,Érico Masiero
This work examines the characteristics of the seasonal canopy layer heat island (UHIUCL) in a medium-sized coastal city in the state of São Paulo using the Local Climate Zones approach. The present analysis is based on datalogger campaign conducted from ...
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Massimiliano Sist, Giovanni Schiavon and Fabio Del Frate
A new data fusion technique based on Artificial Neural Networks (ANN) for the design of a rainfall retrieval algorithm is presented. The use of both VIS/IR (VISible and InfraRed) data from GEO (Geostationary Earth Orbit) satellite and of passive microwav...
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