Results 81 to 90 of about 11,867 (258)

Advances in Meteorological Radar Technology and Applications at Chinese Academy of Meteorological Sciences

应用气象学报
The paper outlines research achievements of Chinese Academy of Meteorological Sciences (CAMS) in the development of new multi-band weather radar detection technologies, field experiments, radar data quality control, generation of secondary products ...
Liu Liping, Ruan Zheng, Wang Gaili, Hu Zhiqun, Wu Chong, Li Haoran, Zhang Yang, Bian Yuxuan   +7 more
doaj   +1 more source

A Radar Radial Velocity Dealiasing Algorithm for Radar Data Assimilation and its Evaluation with Observations from Multiple Radar Networks

Remote Sensing, 2019
Automated and accurate radar dealiasing algorithms are very important for their assimilation into operational numerical weather forecasting models. A radar radial velocity dealiasing algorithm aimed at radar data assimilation is introduced and assessed ...
Guangxin He, Juanzhen Sun, Zhuming Ying, Lejian Zhang   +3 more
doaj   +1 more source

Construction of three-dimensional weather radar data from volcanic eruption clouds. [PDF]

MethodsX, 2021
Maki M, Kobori T.
europepmc   +1 more source

Using synthetic models to understand the detecting ability of ground‐penetrating radar for water‐conducting structures in the bedrock of formerly glaciated site

Near Surface Geophysics, EarlyView.
Abstract Utilizing synthetic models for the interpretation of ground‐penetrating radar (GPR) profiles can aid in the detection of hydrogeological structures by identifying their signatures. In this study, finite difference (FD) forward modelling was used to understand the detection ability of 50 MHz GPR for (1) the quaternary deposit–bedrock contact ...
Annika Katarina Åberg, Salla Eeva, Emilia Koivisto, Susanne Charlotta Åberg, Seija Kultti, Kirsti Korkka‐Niemi   +5 more
wiley   +1 more source

Biological data derived from European weather radars

Scientific Data
Weather radars detect more than weather, they also continuously register the movements of billions of animals aloft in the lower atmosphere. This makes archived, unfiltered weather radar data a goldmine for biological monitoring purposes, providing ...
Peter Desmet, Judy Shamoun-Baranes, Bart Kranstauber, Adriaan M. Dokter, Nadja Weisshaupt, Baptiste Schmid, Silke Bauer, Günther Haase, Bart Hoekstra, Pieter Huybrechts, Hidde Leijnse, Nicolas Noé, Stijn Van Hoey, Berend Wijers, Cecilia Nilsson   +14 more
doaj   +1 more source

Digital surveillance of animals and nature recovery

People and Nature, EarlyView.
Abstract Digital surveillance technologies (DSTs) are widely applied in nature recovery for their potential to generate novel data on species and ecosystems through digital tracking, automation (e.g. from hazardous locations) and from newly recruited citizen scientists.
William M. Adams
wiley   +1 more source

Dataset on the first weather radar campaign over Lima, Peru. [PDF]

Data Brief, 2021
Valdivia JM, Scipión DE, Milla M, Prado JJ, Espinoza JC, Cordova D, Saavedra M, Villalobos E, Callañaupa S, Silva Y.   +9 more
europepmc   +1 more source

Digital fire technologies and community networks: Cultivating just sociotechnical practices for living with planetary change

People and Nature, EarlyView.
Abstract Fires are expanding in frequency and intensity worldwide due to climate change and land‐use transformations. At the same time, fire often plays a regenerative role in ecosystems. Traditional and cultural practices incorporate fire use for landscape management and landscape renewal. In this complex matrix of fire ecologies, digital technologies
Jennifer Gabrys, Paula Tiara Torres, Pablo González Rivas   +2 more
wiley   +1 more source

Evaluating Testability of Permafrost Models Through Physical and Thermal Testing in Complex Mountain Terrain, Yukon, Canada

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT Due to its subsurface nature, permafrost cannot be directly observed with the naked eye or optical remote sensing. Consequently, accurately describing its distribution and thermal state is challenging. This is especially true in vast, remote environments, where obtaining comprehensive field data is demanding or improbable.
Ria Nicholson, Philip P. Bonnaventure, Nick C. Noad, Madeleine C. Garibaldi, Rabecca Thiessen, Will Kochtitzky   +5 more
wiley   +1 more source

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source