Results 11 to 20 of about 1,720,597 (315)

Prediction model of coal seam gas content based on ACSOA optimized BP neural network

Meikuang Anquan, 2022
For the problem of coal seam gas content prediction, the influencing factors of coal seam gas content were analyzed by taking No.2 coal seam of Chensilou Coal Mine as the research object.
Prediction model of coal seam gas content based on ACSOA optimized BP neural network
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Snow cover prediction in the Italian central Apennines using weather forecast and land surface numerical models [PDF]

The Cryosphere, 2023
Italy is a territory characterized by complex topography with the Apennines mountain range crossing the entire peninsula and its highest peaks in central Italy.
E. Raparelli, E. Raparelli, P. Tuccella, P. Tuccella, P. Tuccella, V. Colaiuda, V. Colaiuda, F. S. Marzano, F. S. Marzano   +8 more
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Present-day radiative effect from radiation-absorbing aerosols in snow [PDF]

Atmospheric Chemistry and Physics, 2021
Black carbon (BC), brown carbon (BrC), and soil dust are the most important radiation-absorbing aerosols (RAAs). When RAAs are deposited on the snowpack, they lower the snow albedo, causing an increase in the solar radiation absorption.
P. Tuccella, P. Tuccella, G. Pitari, V. Colaiuda, V. Colaiuda, E. Raparelli, E. Raparelli, G. Curci, G. Curci   +8 more
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Investigating the feasibility of using precipitation measurements from weather RaDAR to estimate potential recharge in regional aquifers: the Majella massif case study in Central Italy

Acque Sotterranee, 2022
Rain gauge spatial sparsity and temporal discontinuity of data represent one of the major issues for reliable recharge estimations. In the past decades, the use of ground-based microwave weather RaDAR has dramatically improved quantitative rainfall ...
Diego Di Curzio, Alessia Di Giovanni, Raffaele Lidori, Frank Silvio Marzano, Sergio Rusi   +4 more
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Cloud and Precipitation Profiling Radars: The First Combined W- and K-Band Radar Profiler Measurements in Italy

Sensors, 2023
Clouds cover substantial parts of the Earth’s surface and they are one of the most essential components of the global climate system impacting the Earth’s radiation balance as well as the water cycle redistributing water around the globe as precipitation.
Mario Montopoli, Alessandro Bracci, Elisa Adirosi, Marco Iarlori, Saverio Di Fabio, Raffaele Lidori, Andrea Balotti, Luca Baldini, Vincenzo Rizi   +8 more
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The impact of lateral boundary forcing in the CORDEX-Africa ensemble over southern Africa [PDF]

Geoscientific Model Development, 2023
The region of southern Africa (SAF) is among the most exposed climate change hotspots and is projected to experience severe impacts across multiple economical and societal sectors.
M. C. Karypidou, S. P. Sobolowski, L. Sangelantoni, L. Sangelantoni, G. Nikulin, E. Katragkou   +5 more
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Clinical prediction models [PDF]

Child's Nervous System, 2020
_Dear Editor:_ The number of articles presenting a neurosurgical prediction model is rapidly increasing. Although the number of publications reporting a clinical prediction model in _Child’s Nervous System, Journal of Neurosurgery Pediatrics_, and _Pediatric Neurosurgery_ is relatively constant over the years (Fig.
Mijderwijk, HJ, Beez, T, Hänggi, D, Nieboer, Daan   +3 more
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Comparing Rain Gauge and Weather RaDAR Data in the Estimation of the Pluviometric Inflow from the Apennine Ridge to the Adriatic Coast (Abruzzo Region, Central Italy)

Hydrology, 2022
Accurate knowledge of the rain amount is a crucial driver in several hydrometeorological applications. This is especially true in complex orography territories, which are typically impervious, thus, leaving most mountain areas ungauged.
Diego Di Curzio, Alessia Di Giovanni, Raffaele Lidori, Mario Montopoli, Sergio Rusi   +4 more
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Modelling distribution and fate of coralligenous habitat in the Northern Adriatic Sea under a severe climate change scenario

Frontiers in Marine Science, 2023
Due to their well-acknowledged capability in predicting habitat distributions, Habitat Suitability Models (HSMs) are particularly useful for investigating ecological patterns variations under climate change scenarios.
Maria Letizia Vitelletti, Elisabetta Manea, Lucia Bongiorni, Antonio Ricchi, Antonio Ricchi, Lorenzo Sangelantoni, Lorenzo Sangelantoni, Davide Bonaldo   +7 more
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Optimizing high-resolution Community Earth System Model on a heterogeneous many-core supercomputing platform [PDF]

Geoscientific Model Development, 2020
With semiconductor technology gradually approaching its physical and thermal limits, recent supercomputers have adopted major architectural changes to continue increasing the performance through more power-efficient heterogeneous many-core systems ...
S. Zhang, S. Zhang, S. Zhang, H. Fu, H. Fu, H. Fu, L. Wu, L. Wu, Y. Li, H. Wang, H. Wang, H. Wang, Y. Zeng, X. Duan, X. Duan, W. Wan, L. Wang, Y. Zhuang, H. Meng, K. Xu, K. Xu, P. Xu, P. Xu, L. Gan, L. Gan, Z. Liu, Z. Liu, S. Wu, Y. Chen, H. Yu, S. Shi, L. Wang, L. Wang, S. Xu, W. Xue, W. Xue, W. Liu, W. Liu, Q. Guo, J. Zhang, G. Zhu, Y. Tu, J. Edwards, J. Edwards, A. Baker, A. Baker, J. Yong, M. Yuan, Y. Yu, Q. Zhang, Q. Zhang, Z. Liu, M. Li, M. Li, M. Li, D. Jia, G. Yang, G. Yang, G. Yang, Z. Wei, J. Pan, P. Chang, P. Chang, G. Danabasoglu, G. Danabasoglu, S. Yeager, S. Yeager, N. Rosenbloom, N. Rosenbloom, Y. Guo   +69 more
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