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Using commercial aircraft meteorological data to assess the heat budget of the convective boundary layer over the Santiago valley in central Chile
(Springer, 2022)
The World Meteorological Organization Aircraft Meteorological Data Relay (AMDAR) programme refers to meteorological data gathered by commercial aircraft and made available to weather services. It has become a major source ...
Meteorological impact on the COVID-19 pandemic: A study across eight severely affected regions in South America
(Elsevier, 2020)
The role of meteorological factors in the transmission of the COVID-19 still needs to be determined. In this study, the daily new cases of the eight severely affected regions in four countries of South America and their ...
A spatio-temporal analysis for exploring the effect of temperature on COVID-19 early evolution in Spain
The new SARS-CoV-2 coronavirus, which causes the COVID-19 disease, was reported in Wuhan, China, in December 2019. This new pathogen has spread rapidly around more than 200 countries, in which Spain has one of the
world's ...
Natural mortality of the cockle Cerastoderma edule (L.) from the Ria of Arousa (NW Spain) intertidal zone
(Universidad de Valparaíso. Facultad de Ciencias del Mar, 2008)
Seasonal hydrological and meteorological time series
Time series models are often used in hydrology and meteorology to model streamflows series in order to make forecasting and generate synthetic series which are inputs for the analysis of complex water resources systems. ...
Integridade de dados meteorológicos para uso em modelo hidrológicoMeteorological data integrity for use in model hydrological
(Universidade Estadual Paulista (Unesp), 2016)
Biological nitrogen fixation in soybean in Argentina: relationships with crop, soil, and meteorological factors
(2015-07)
Aims: This study aims to (i) asses the contribution of biological N fixation (%Ndfa) in the soybean production area of Argentina, (ii) build a model for predicting %Ndfa using crop, soil, and meteorological variables, and ...
Hydrological early warning system based on a deep learning runoff model coupled with a meteorological forecast
(MDPI AG, 2019)
© 2019 by the authors.The intensification of the hydrological cycle because of global warming raises concerns about future floods and their impact on large cities where exposure to these events has also increased. The ...