Evaluation of NASA POWER and ERA5-Land for estimating tropical precipitation and temperature extremes

ML Tan, AM Armanuos, I Ahmadianfar, V Demir… - Journal of …, 2023 - Elsevier
Long-term gridded climate data, NASA Prediction of Worldwide Energy Resources (NASA
POWER) and the fifth generation of European ReAnalysis Land Component (ERA5-Land) …

Evaluation of air temperature estimated by ERA5-Land reanalysis using surface data in Pernambuco, Brazil

CSP Araújo, IAC Silva, M Ippolito… - Environmental Monitoring …, 2022 - Springer
This study aimed to analyze the average air temperature data estimated by ERA5-Land
reanalysis over 10 years (01/01/2011 to 12/31/2020), based on data from 12 automatic …

Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil

HB Dias, PC Sentelhas - International Journal of Biometeorology, 2021 - Springer
High-quality measured weather data (MWD) are essential for long-term and in-season crop
model applications. When MWD is not available, one alternative for crop simulations is to …

Developing and testing models for sea surface wind speed estimation with GNSS-R delay Doppler maps and delay waveforms

J Bu, K Yu, Y Zhu, N Qian, J Chang - Remote Sensing, 2020 - mdpi.com
This paper focuses on sea surface wind speed estimation based on cyclone global
navigation satellite system reflectometry (GNSS-R) data. In order to extract useful …

Performance of the ECMWF in air temperature and precipitation estimates in the Brazilian Amazon

JRSC de Moraes, GS Rolim, LG Martorano… - Theoretical and Applied …, 2020 - Springer
We evaluated the performance of general atmosphere circulation model (GCM) from the
European Center for Medium Range Weather Forecasts (ECMWF) for estimating surface air …

Advanced Farming Strategies Using NASA POWER Data in Peanut-Producing Regions without Surface Meteorological Stations

TOC Barboza, MAJ Ferraz, C Pilon, G Vellidis… - AgriEngineering, 2024 - mdpi.com
Understanding the impact of climate on peanut growth is crucial, given the importance of
temperature in peanut to accumulate Growing Degree Days (GDD). Therefore, our study …

A process-based model to simulate sugarcane orange rust severity from weather data in Southern Brazil

TTB Valeriano, G de Souza Rolim, LM Manici… - International Journal of …, 2021 - Springer
Forecasting the severity of plant diseases is an emerging need for farmers and companies to
optimize management actions and to predict crop yields. Process-based models are viable …

Comparing Observed and Reanalysis Data for Trends in Heat and Cold Waves in Brazil (1996–2022)

AL Silva, S Sheridan, C Ibebuchi, C Lee - 2024 - researchsquare.com
This study provides a comparative analysis of the ERA5 reanalysis and Integrated Surface
Database (ISD) datasets to evaluate their effectiveness in identifying extreme heat and cold …

Variabilidade espaço-temporal das disponibilidades eólica, hídrica e solar no estado do Paraná, Brasil

R Guicho - 2023 - tede.unioeste.br
A geração de energia elétrica a partir de fontes renováveis, apesar de apresentarem custos
altos em larga escala, possuem um apelo social e ambiental presente em discussões …

[PDF][PDF] Modelo de estimativa para a previsão meteorológica para fins agrícolas utilizando machine learning

ICO Vieira - 2022 - repositorio.unesp.br
A previsão das condições climáticas auxilia nas tomadas de decisões devido a sua grande
influência nos cultivos, possibilitando estratégias produtivas mais eficientes e diminuição de …