Results 11 to 20 of about 2,979,616 (246)

University of Arizona, Institute of Atmospheric Physics, Progress Report No. 2

, 1955
This title from the Institute of Atmospheric Physics Reports collection is made available by the Department of Hydrology & Atmospheric Sciences and the University Libraries, University of Arizona.
Braham, Roscoe R., Jr.
core   +4 more sources

University of Arizona, Institute of Atmospheric Physics, Progress Report No. 1

, 1954
This title from the Institute of Atmospheric Physics Reports collection is made available by the Department of Hydrology & Atmospheric Sciences and the University Libraries, University of Arizona.
Braham, Roscoe R., Jr.
core   +4 more sources

Inverse modeling of European CH4 emissions: sensitivity to the observational network [PDF]

, 2009
Inverse modeling is widely employed to provide “top-down” emission estimates using atmospheric measurements. Here, we analyze the dependence of derived CH4 emissions on the sampling frequency and density of the observational surface network, using the ...
Bergamaschi, P., Villani, M.G., Sub Atmospheric physics and chemistry, Krol, M., Krol, M.C., Dep Natuurkunde, Dentener, F., Villani, M. G., Marine and Atmospheric Research, Meirink, J.F.   +9 more
core   +2 more sources

University of Arizona, Institute of Atmospheric Physics, Progress Report No. 4

, 1957
This title from the Institute of Atmospheric Physics Reports collection is made available by the Department of Hydrology & Atmospheric Sciences and the University Libraries, University of Arizona.
Kassander, A. Richard, Jr.
core   +4 more sources

Assessing Peak-To-Mean Ratios of Odour Intensity in the Atmosphere near Swine Operations

Atmosphere, 2020
Odour in the atmosphere is usually characterized by an intermittent time series of high peaks and periods of low (or zero) concentrations. The peak-to-mean ratio (PMR) is commonly used to estimate short-term peaks from long-term averages to assess the ...
Qiang Zhang, Xiaojing Zhou
doaj   +1 more source

A physical wind‐turbine wake growth model under different stratified atmospheric conditions

Wind Energy, 2022
The wind‐turbine wake growth is crucial for wake assessment. At present, it can only be determined empirically, which is the primary source of prediction errors in the analytical wake model, and a physically‐based method is urgently needed. Recently, the
Bowen Du, Mingwei Ge, Yongqian Liu
doaj   +1 more source

Improvement of Airflow Simulation by Refining the Inflow Wind Direction and Applying Atmospheric Stability for Onshore and Offshore Wind Farms Affected by Topography

Energies, 2022
For this study, the annual frequency of atmospheric stability and the effects of topography were investigated, using ERA5 data and data from wind observation masts installed at four locations on an island for a site under development, where bidding will ...
Susumu Takakuwa, Takanori Uchida
doaj   +1 more source

Assessing Obukhov Length and Friction Velocity from Floating Lidar Observations: A Data Screening and Sensitivity Computation Approach

Remote Sensing, 2022
This work presents a parametric-solver algorithm for estimating atmospheric stability and friction velocity from floating Doppler wind lidar (FDWL) observations close to the mast of IJmuiden in the North Sea.
Marcos Paulo Araújo da Silva, Francesc Rocadenbosch, Joan Farré-Guarné, Andreu Salcedo-Bosch, Daniel González-Marco, Alfredo Peña   +5 more
doaj   +1 more source

University of Arizona, Institute of Atmospheric Physics, Progress Report No. 3

, 1956
This title from the Institute of Atmospheric Physics Reports collection is made available by the Department of Hydrology & Atmospheric Sciences and the University Libraries, University of Arizona.
Braham, Roscoe R., Jr.
core   +4 more sources

Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part I: Wind Speed Profile Model

Energies, 2017
With the setting of wind energy harvesting moving from coastal waters to deep waters, the South China Sea has been deemed to offer great potential for the construction of floating wind farms thanks to the abundance of wind energy resources.
Yichao Liu, Daoyi Chen, Qian Yi, Sunwei Li   +3 more
doaj   +1 more source