Zobrazeno 1 - 10
of 581
pro vyhledávání: '"model sensitivity"'
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
The formation and dynamics of individual estuarine turbidity maximum (ETM) in the Pearl River estuary (PRE) have been investigated but the temporal variability of the ETMs and interconnections among them remain poorly understood. To address these ope
Externí odkaz:
https://doaj.org/article/dcb28285406c4c20b4442a011c5e42f6
Autor:
José Fortes Lopes
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1310 (2024)
The main purpose of this study is to set up a biogeochemistry model for the Ria de Aveiro ecosystem and evaluate the relative importance of the main parameters and the processes occurring at the interface between the water column and the upper layer
Externí odkaz:
https://doaj.org/article/f2bfabcf130344e59706b5031285766f
Publikováno v:
Sensors, Vol 24, Iss 7, p 2198 (2024)
Electrical impedance spectroscopy (EIS) has been proposed as a promising noninvasive method to differentiate healthy thyroid from parathyroid tissues during thyroidectomy. However, previously reported similarities in the in vivo measured spectra of t
Externí odkaz:
https://doaj.org/article/06c4b61e744845bdabe93d3ff6dda56b
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 828 (2024)
Accurate drought forecasting is necessary for effective agricultural and water resource management and for early risk warning. Various machine learning models have been developed for drought forecasting. This work developed and tested a fusion-based
Externí odkaz:
https://doaj.org/article/580d887429f94ff89e0550e06bfb7a9b
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 4, Pp n/a-n/a (2023)
Abstract In this paper, we introduce a testbed for evaluating and comparing climate modeling systems at cloud resolving scales using hindcasts of the June 2012 North American derecho. To demonstrate its utility for model intercomparison, the testbed
Externí odkaz:
https://doaj.org/article/85de5dc99e314d6585f6ee2263727efd
Autor:
Euripides Avgoustoglou, Alon Shtivelman, Pavel Khain, Chiara Marsigli, Yoav Levi, Ines Cerenzia
Publikováno v:
Atmosphere, Vol 14, Iss 11, p 1616 (2023)
The ICON (icosahedral non-hydrostatic) numerical weather prediction model (NWP)’s sensitivity is evaluated for the geographical area of Greece. As ICON model has recently been endorsed operationally by the Members of the COSMO (Consortium for Small
Externí odkaz:
https://doaj.org/article/141fe3a2ff48429bb518f28e093c0bdd
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 2, Iss , Pp 100034- (2022)
Current application of machine learning in the process of antimicrobial peptide discovery call for the reduction of the false positive predictions that are produced by the classification models. Considering that the positive predictions of high confi
Externí odkaz:
https://doaj.org/article/e0f24d8a32ba4c3c814baa9f6f13779a
Akademický článek
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Publikováno v:
Wind Energy, Vol 24, Iss 9, Pp 957-973 (2021)
Summary A decade of research has shown that numerical weather prediction (NWP)‐modeled wind speeds can be highly sensitive to the inputs and setups within the NWP model. For wind resource characterization applications, this sensitivity is often add
Externí odkaz:
https://doaj.org/article/0c2b0ede4e5d4d16acc1217be05e32b8