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76 results for “atmospheric observation”
Model and observational dataset used in Tsiringakis, A. , Holtslag, A.A.M., Grimmond, S. and Steeneveld, G.J. Surface and atmospheric driven variability of the single-layer urban canopy model under clear sky conditions over London, Journal of Geophysical Research: Atmospheres
<p>This dataset contains:</p> <p>- Model output from the single-column version of the Weather Research and Forecasting model v3.8.1.</p> <p>- Observations from the KSSW tower (King's College London, United Kingdom) used for model evaluation.</p> <p>- The Single-column Urban Boundary Layer Inter-comparison Model Experiment (SUBLIME) case study description and external forcing file for the single-column version of Weather Research and Forecasting model.</p> <p>This dataset is used in :</p> <p>~Tsiringakis, A., Holtslag, A.A.M., Grimmond, S. and Steeneveld, G.J. Surface and atmospheric driven variability of the single-layer urban canopy model under clear sky conditions over London. Journal of Geophysical Research: Atmospheres</p>
Temporal and spatial variability of the stable isotopic composition of atmospheric molecular hydrogen: observations at six EUROHYDROS stations
<p>These are the H2 mixing ratio and deuterium content data used in: <br /> Batenburg, A. M., Walter, S., Pieterse, G., Levin, I., Schmidt, M., Jordan, A., Hammer, S., Yver, C., and Röckmann, T.: Temporal and spatial variability of the stable isotopic composition of atmospheric molecular hydrogen: observations at six EUROHYDROS stations, Atmos. Chem. Phys., 11, 6985-6999, doi:10.5194/acp-11-6985-2011, 2011,http://www.atmos-chem-phys.net/11/6985/2011/acp-11-6985-2011.html<br /> <br /> Please cite this ACP article when using these data in a publication, and kindly notify the first author (annekebatenburg'at'gmail.com).<br /> <br /> In the CSV files:<br /> - Mixing ratios are reduction gas analyzer results obtained at UHEI-IUP, MPI-BGC and LSCE.<br /> - dD(H2) data are obtained from analysis with the GC-IRMS system at the IMAU-APCG lab of Utrecht University. The estimated standard deviation/error in a single measurement is 4.5 permil, based on measurements of a laboratory working tank.<br /> - Outlier selection was based on visual inspection of the time series.<br /> - The "biased" or "downshifted" flag indicates dD measurements performed in a period where the dD results seemed to have a positive bias of approximately 9.5 permil. These samples were shown in the time series figure with the 9.5 permil subtracted, but excluded from the following quantitative analyses.<br /> - The last column indicates the number of succesfull repeat measurements of dD.<br /> <br /> More information can be found in the published, open-access article. Please do not hesitate to contact annekebatenburg'at'gmail.com if you have any questions.</p>
Data for the article entitled "Strongly Coupled Data Assimilation of Ocean Observations into an Ocean-Atmosphere Model" by Tang et al. 2021, GRL
<p>We stored the output data for the free run and the data assimilation experiments. All the data is stored in netCDF format and named by XX1_ensmean_XX2_monmean.nc. The prefix XX1 indicates the simulation scenarios, where 'free_run' refers to the free run, 'wcda' the weakly coupled assimilation run, 'scda' the strongly coupled data assimilation run without vertical localization for atmosphere, and 'scda_vert' the strongly coupled assimilation run with vertical localization for atmosphere. The XX2 represents variables from the simulations, where 'temp2' refers to 2 meter temperature, 'u10' 10 metre U wind component, 'v10' 10 metre V wind component, 'st_p' temperature at pressure levels, 'uv_p' U and V component of wind at pressure levels, and 'q_p' specific humidity at pressure levels.</p>
Chemical species in Titan's upper atmosphere observed by Cassini/UVIS stellar occultations
<p>The archive files contain the line-of-sight abundances and local densities of CH<sub>4</sub>, C<sub>2</sub>H<sub>2</sub>, C<sub>2</sub>H<sub>4</sub>, C<sub>2</sub>H<sub>6</sub>, C<sub>4</sub>H<sub>2</sub>, C<sub>6</sub>H<sub>6</sub>, HCN, HC<sub>3</sub>N, and haze particles in Titan's upper atmosphere retrieved using Cassini/UVIS stellar occultation observations during 18 Titan flybys. These results are shown in Figures 5-10 of the manuscript listed below.</p> <p>Fan, S., Zhao, D., Li, C., Shemansky, D. E., Liang, M. -C., and Yung, Y. L. (2022) Seasonal Variations of Chemical Species in Titan’s Upper Atmosphere. <em>The Planetary Science Journal.</em></p>
Ground-based vertical observations of atmospheric composition from field campaign on the Tibetan Plateau
<p>We introduce a long-term (2017-2019) vertical observational dataset of atmospheric composition in the TP from MAX-DOAS, a passive remote sensing technique.</p>
Global simulations of multi-frequency HF signal absorption for direct observation of middle atmosphere temperature and composition
<p>The model used in the publication for Global simulations of multi-frequency HF signal absorption for direct observation of middle atmosphere temperature and composition</p> <p> </p> <p>This paper presents the first numerical study on a new concept for the direct measurement of D-region absorption in the HF band. Numerical simulations based on the Appleton–Hartree and Garrett equations of refractive index are presented. Electron temperature as a result of HF radio pumping of the ionosphere is included in the calculations using proper numerical formulation. Both O- and X-mode radio wave polarizations are taken into consideration. A global map of HF absorption in the northern hemisphere is calculated. Detailed calculations of HF radio wave absorption as it propagates through the lower atmosphere are presented. The effect of several parameters on the amount of absorption is calculated. The best frequencies to be used for the purpose of this study are discussed. A machine learning model is developed and the capability of the model in estimation of D and E-region constituents includes $N_2$, $O$, $O_2$, as well as $T$ and $N_e$ is examined. Such a technique can also lead to global mapping of HF absorption and improve OTHR (over-the-horizon-radar) performance. </p>
Prestorm atmospheric dynamic variable profiling dataset in Beijing as observed from the Radar wind profiler mesonet
<p>This dataset contains prestorm atmospheric dynamical variables of 30 minutes before rainfall onset in summer (June ~ August) for the period 2018–2019, which is determined by the measurements from the triangular mesonet of radar wind profile in Beijing. Each data file is stored in CSV format, containing the triangle area averaged divergence, vertical velocity and vorticity at 400、450、500、550, 600, 650, 700, 750, 775, 800, 825, 850, 875 and 900 hPa levels. The name for each data is formatted as RWP_YYYY_NNN hPa_Lead-MM min.csv, where YYYY refers to 2018 and 2019, NNN refers to 400、450、500、550, 600, 650, 700, 750, 775, 800, 825, 850, 875 and 900 hPa, and MM refers to 12, 18, 24, 30, 36 and 42 minutes prior to rainfall onset. </p>
Measurement Report: The observation of atmospheric HONO by wet-rotating-denuder ion chromatograph in a coastal city: Influencing factors and corrective function
<p>The details are also available upon request from the corresponding author (<a href="mailto:jschen@iue.ac.cn">jschen@iue.ac.cn</a>)</p>
Data for "Unraveling the Atmospheric Energy Input and Ionization due to EMIC-Driven Electron Precipitation from ELFIN's Observations"
<p>Dataset relative to the paper "Unraveling the Atmospheric Energy Input and Ionization due to EMIC-Driven Electron Precipitation from ELFIN's Observations"</p><ol><li>case_study.zip: ELFIN&POES conjunction<ol><li>POES flux is in #/s/cm2/sr/keV</li><li>ELFIN flux is in #/s/cm2/sr/MeV</li></ol></li><li>EMICdriven_events_atmospheres_temps: background atmosphere density & temperature for all 144 events<ol><li>Density is in g/cm3</li></ol></li><li>EMICdriven_events_nflux_PA_en: ELFIN events number flux 0°-90°<ol><li>ELFIN flux is in #/s/cm2/sr/MeV (...nflux.csv files)</li><li>ELFIN pitch-angle is in degrees (...nflux_PA.csv files)</li></ol></li><li>EMICdriven_events_nflux_PA_en: ELFIN events number flux 0°-180°<ol><li>ELFIN flux is in #/s/cm2/sr/MeV (...nflux.csv files)</li><li>ELFIN pitch-angle is in degrees (...nflux_PA.csv files)</li></ol></li><li>energy_deposition.csv: energy deposition vs altitude</li><li>ionization_rates.csv: ionization rate vs altitude</li><li>lat_lon_ionization.csv: time of EMIC-driven events with lat/lon, ionization&altitude peak and energy flux</li><li>avg_atm_density.csv: average background density</li><li>mean_PAD: mean PAD in #/s/cm2/sr/eV</li><li>median_PAD: median PAD in #/s/cm2/sr/eV</li></ol>
TES/Aura L2 Atmospheric Temperatures Nadir Special Observation V008
TL2TNS_8 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Nadir Special Observation Version 8 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product contains atmospheric vertical profile estimates and associated errors (diagonals and covariance matrices), along with retrieved surface temperature, cloud effective optical depth, column estimates, quality flags, averaging kernels and priori constraint vectors. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) were also provided. L2 modeled spectra were evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compared observed spectra to the modeled spectra and iteratively updated the atmospheric parameters. L2 standard product files included information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consisted of a maximum of 16 consecutive orbits.Nadir observations, which point directly to the surface of the Earth, are different from limb observations, which are pointed at various off-nadir angles into the atmosphere. Nadir and limb observations were added to separate L2 files, and a single ancillary file was composed of data that are common to both nadir and limb files. A Nadir sequence within the TES Global Survey was a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations only used a single set of filter mix. A Global Survey consisted of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals were performed. Each observation was the input for retrievals of species Volume Mixing Ratios (VMRs), temperature profiles, surface temperature, and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density, and other diagnostic quantities. Each TES Level 2 standard product reported information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object was bounded by the number of observations in a global survey and a predefined set of pressure levels, representing slices through the atmosphere. Each standard product could have had a variable number of observations depending upon the Global Survey configuration and whether averaging was employed. Also, missing or bad retrievals were not reported. Further, observations were occasionally scheduled on non-global survey days. In general they were measurements made for validation purposes or with highly focused science objectives. Those non-global survey measurements were referred to as “special observations”The organization of data within the Swath object was based on a superset of the Upper Atmosphere Research Satellite (UARS) pressure levels used to report concentrations of trace atmospheric gases. The reporting grid was the same pressure grid used for modeling. There were 67 reporting levels from 1211.53 hPa, which allowed for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products reported values directly at the surface when possible or at the observed cloud top level. Thus in the Standard Product files, each observation could potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels were not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value was applied.To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) was collected into a separate standard product, termed the TES L2 Ancillary Data product (Short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.
Lidar Atmospheric Sensing Experiment (LASE) Data Obtained During the Tropospheric Aerosol Radiative Forcing Observational Experiment (TARFOX)
The Lidar Atmospheric Sensing Experiment (LASE) Tropospheric Aerosol Radiative Forcing Observational Experiment (TARFOX) data set was collected over the Western Atlantic Ocean in July 1996. The overall goal of TARFOX was to reduce uncertainties in the effects of aerosols on climate by determining the direct radiative impacts, as well as the chemical, physical, and optical properties, of the aerosols carried over the western Atlantic Ocean from the United States. LASE is an airborne autonomous DIAL system which produces measurements of aerosols and water vapor vertical profiles from the aircraft altitude down to the surface. Such profiles show the vertical context in which the TARFOX in situ and radiometric measurements are made, thus supporting the vertical extension of the in situ measurements and detecting any unsampled layers or inhomogeneities, which would impact the airborne and satellite radiative flux measurements. Note that the LASE_TARFOX data set is also available under the TARFOX project as the TARFOX_LASE data set. The data files included in these two data sets are identical.
Global Fire carbon emissions from CMS-Flux inversions assimilating atmospheric carbon monoxide observations
This dataset provides carbon monoxide and carbon dioxide flux from fires constrained by satellite observations.The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
Dataset for Residual Study: Testing Jupiter Atmosphere Models Against Juno MWR Observations
<p>This dataset includes all data values for all 14 figures in paper "Residual study: Testing Jupiter atmosphere models against Juno MWR observations".</p>
Field campaign observation data for 'Impacts of Heatwaves on Characteristics of Atmospheric Methylglyoxal in a Suburban Area in Eastern China'
Open the record for dataset details and reuse information.
MAVEN SWIA Observations of Solar Wind Signatures1 in the Collisional Atmosphere of Mars
Open the record for dataset details and reuse information.
Datasets for :Atmospheric chemistry of oxalate: Insight into the role of relative humidity and acidity from high-resolution observation.
<p>The datasets in this file were used to generate figures for the paper titled"Atmospheric chemistry of oxalate: Insight into the role of relative humidity and acidity from high-resolution observation.</p> <p>The datasets include the hourly concentration of atmospheric composition and meteorological parameters in Nanjing Area.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.