Results 31 to 40 of about 5,525 (234)

OpenAP.top: Open Flight Trajectory Optimization for Air Transport and Sustainability Research

Aerospace, 2022
Trajectory optimization has been an active area of research for air transport studies for several decades. But almost all flight optimizers proposed in the literature remain close-sourced, which presents a major disadvantage for the advancement of ...
Junzi Sun
doaj   +1 more source

A new method to correct the electrochemical concentration cell (ECC) ozonesonde time response and its implications for “background current” and pump efficiency [PDF]

Atmospheric Measurement Techniques, 2020
The electrochemical concentration cell (ECC) ozonesonde has been the main instrument for in situ profiling of ozone worldwide; yet, some details of its operation, which contribute to the ozone uncertainty budget, are not well understood.
H. Vömel, H. G. J. Smit, D. Tarasick, B. Johnson, S. J. Oltmans, H. Selkirk, A. M. Thompson, R. M. Stauffer, J. C. Witte, J. Davies, R. van Malderen, G. A. Morris, T. Nakano, R. Stübi   +13 more
doaj   +1 more source

The new sun-sky-lunar Cimel CE318-T multiband photometer – a comprehensive performance evaluation [PDF]

Atmospheric Measurement Techniques, 2016
This paper presents the new photometer CE318-T, able to perform daytime and night-time photometric measurements using the sun and the moon as light source.
Á. Barreto, E. Cuevas, M.-J. Granados-Muñoz, L. Alados-Arboledas, P. M. Romero, J. Gröbner, N. Kouremeti, A. F. Almansa, T. Stone, C. Toledano, R. Román, M. Sorokin, B. Holben, M. Canini, M. Yela   +14 more
doaj   +1 more source

A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing [PDF]

Atmospheric Measurement Techniques, 2020
Recent years have seen the increasing inclusion of per-retrieval prognostic (predictive) uncertainty estimates within satellite aerosol optical depth (AOD) data sets, providing users with quantitative tools to assist in the optimal use of these data ...
A. M. Sayer, A. M. Sayer, Y. Govaerts, P. Kolmonen, A. Lipponen, M. Luffarelli, T. Mielonen, F. Patadia, F. Patadia, T. Popp, A. C. Povey, K. Stebel, M. L. Witek   +12 more
doaj   +1 more source

Warming summers limit reindeer grazing, weakening herbivory pressure in the mountain tundra

Ecography, EarlyView.
Climate change is predicted to alter species interactions by exposing ecosystems to increasingly frequent and intense warm spells. In the mountain tundra, grazing by large herbivores, particularly reindeer, can limit shrub expansion and preserve Arctic plant diversity.
Marianne Stoessel, Akiko Kato, Regina Lindborg   +2 more
wiley   +1 more source

Beyond birds: rethinking bird‐centered pathogen models in light of insect migration

Ecography, EarlyView.
Migration redistributes biomass, nutrients, and pathogens across ecosystems. For decades, migratory birds have been treated as the default long‐distance pathogen vectors, shaping both conceptual frameworks and empirical models of disease ecology.
Virginia Morandini
wiley   +1 more source

Contrails and Their Dependence on Meteorological Situations

Applied Sciences
Contrails created by aircraft are a very hot topic today because they contribute to the warming of the atmosphere. Air traffic density is very high, and current forecasts predict a further significant increase.
Iveta Kameníková, Ivan Nagy, Jakub Hospodka   +2 more
doaj   +1 more source

Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019 [PDF]

Atmospheric Chemistry and Physics
In May–June 2019, smoke plumes from wildfires in Alberta, Canada, were advected all the way to Europe. To analyze the evolution of the plumes and to estimate the amount of smoke aerosols transported to Europe, retrievals from the spaceborne lidar CALIOP (
X. Shang, A. Lipponen, M. Filioglou, A.-M. Sundström, M. Parrington, V. Buchard, V. Buchard, A. S. Darmenov, E. J. Welton, E. Marinou, V. Amiridis, M. Sicard, M. Sicard, A. Rodríguez-Gómez, M. Komppula, T. Mielonen   +15 more
doaj   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Ontology generation for flight safety messages in air traffic management

Journal of Big Data, 2021
The analysis of various data is a challenging issue in the field of air traffic flow management (ATFM). Managing a large volume of data and their correct interpretation plays a key role in the prevention of air accidents, human errors, and flight ...
Mahdi Yousefzadeh Aghdam, Seyed Reza Kamel Tabbakh, Seyed Javad Mahdavi Chabok, Maryam kheyrabadi   +3 more
doaj   +1 more source