cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5439/1602289
title: 3-hourly VARANAL for ACE-ENA June 2017 to February 2018

description: The Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) field campaign is an ongoing campaign at Graciosa Island in the Azores, focusing on marine boundary layer structure and associated vertical distributions and horizontal variabilities of low clouds and aerosol. We have received a request from users to derive the forcing for the ACE-ENA campaign. The data will be based on ECMWF reanalysis data, and combined with available observations to test the impacts of including some of the observations. The available measurements including surface met stations, buoy stations and satellite data.
DOI: 10.5439/1605936
title: Cimel Sunphotometer Lunar Aerosol Optical Depth data, version 3

description: This is unscreened aerosol optical depth (version 3) lunar mode data ingested from Aeronet.
DOI: 10.5439/1605937
title: Cimel Sunphotometer Lunar Aerosol Optical Depth, filtered data, version 3

description: This is cloud-cleared aerosol optical depth (version 3) lunar mode data ingested from Aeronet.
DOI: 10.5439/1608587
title: ARM: KAZRCFRSPCMDCOPOL

description: kazr
DOI: 10.5439/1608590
title: ARM: KAZRCFRSPCGEXPOL

description: kazr
DOI: 10.5439/1608591
title: ARM: KAZRCFRSPCMDXPOL

description: kazr
DOI: 10.5439/1608603
title: ARM: KAZRCFRSPCGECOPOL

description: kazr
DOI: 10.5439/1615605
title: ARM: KASACRCFRHSRHIQC

description: kasacr
DOI: 10.5439/1615606
title: ARM: XSACRCFRPPIVQC

description: xsacr
DOI: 10.5439/1615609
title: ARM: CSAPR2CFRMRHIQC

description: csapr
DOI: 10.5439/1615610
title: ARM: CSAPR2CFRZPPIQC

description: csapr
DOI: 10.5439/1615611
title: ARM: KASACRCFRRHIQC

description: kasacr
DOI: 10.5439/1615727
title: ARM: XSACRCFRHSRHIQC

description: xsacr
DOI: 10.5439/1615728
title: ARM: KASACRCFRPPIVQC

description: kasacr
DOI: 10.5439/1616020
title: ARM: XSACRCFRRHIQC

description: xsacr
DOI: 10.5439/1617690
title: ARM: CSAPR2CFRRHIQC

description: csapr
DOI: 10.5439/1635016
title: AOS: Scanning-Mobility Particle Sizer: nanoscale particles

description: AOS: Scanning-Mobility Particle Sizer: nanoscale particles
DOI: 10.5439/1635449
title: Data Product: Ka ARM Zenith Radar (KAZR), in CfRadial format: precipitation mode, corrected

description: The KAZRCFRCOR Value Added Product (VAP) performs several corrections to the ingested KAZR data and also creates a significant detection mask for each radar mode. The VAP computes gaseous attenuation as a function of time and radial distance from the radar antenna, based on ambient relative humidity, and corrects observed reflectivities for that effect. KAZR reflectivities are also corrected in the antenna ‘nearfield’ range to compensate for the near-field antenna pattern and gain. KAZRCFRCOR also dealiases mean Doppler velocities, to correct velocities whose magnitudes exceed the radar’s Nyquist velocity. This dataset contains the 'kazrpr' (precipitation) mode output from this VAP.
DOI: 10.5439/1637675
title: Data Product: Ka ARM Zenith Radar (KAZR), in CfRadial format: general mode, corrected

description: The KAZRCFRCOR Value Added Product (VAP) performs several corrections to the ingested KAZR data and also creates a significant detection mask for each radar mode. The VAP computes gaseous attenuation as a function of time and radial distance from the radar antenna, based on ambient relative humidity, and corrects observed reflectivities for that effect. KAZR reflectivities are also corrected in the antenna ‘nearfield’ range to compensate for the near-field antenna pattern and gain. KAZRCFRCOR also dealiases mean Doppler velocities, to correct velocities whose magnitudes exceed the radar’s Nyquist velocity. This dataset contains the 'kazrge' (general) mode output from this VAP.
DOI: 10.5439/1637677
title: Data Product: Ka ARM Zenith Radar (KAZR), in CfRadial format: moderate sensitivity mode, corrected

description: The KAZRCFRCOR Value Added Product (VAP) performs several corrections to the ingested KAZR data and also creates a significant detection mask for each radar mode. The VAP computes gaseous attenuation as a function of time and radial distance from the radar antenna, based on ambient relative humidity, and corrects observed reflectivities for that effect. KAZR reflectivities are also corrected in the antenna ‘nearfield’ range to compensate for the near-field antenna pattern and gain. KAZRCFRCOR also dealiases mean Doppler velocities, to correct velocities whose magnitudes exceed the radar’s Nyquist velocity. This dataset contains the 'kazrmd' (moderate sensitivity) mode output from this VAP.
DOI: 10.5439/1641833
title: Aerosol Chemical Speciation Monitor, corrected for composition-dependent collection efficiency

description: Data from the Aerosol Chemical Speciation Monitor (ACSM), adjusted for composition-dependent collection efficiency (CDCE).
DOI: 10.5439/1650668
title: gndrad25m60s.b1

description: gndrad data measured at 25m tower
DOI: 10.5439/1660726
title: ARM Aerial Facility (AAF) Portable Optical Particle Counter (inside payload bay)

description: ARM Aerial Facility (AAF) Portable Optical Particle Counter (inside payload bay)
DOI: 10.5439/1668057
title: Cloud optical depth and liquid effective radius retrievals from SPHOT zenith radiances

description: A new three-channel (440, 870, and 1640 nm) retrieval algorithm for cloud optical depth has recently been developed by Christine Chiu and her co-workers [Chiu et al., 2012]. This VAP is to implement the three-channel cloud optical depth retrieval algorithm as an ARM operational VAP. First, simultaneously retrieved cloud optical depth and effective radius datasets will be generated by using the pre-calibrated zenith radiance measurements taken from the ARM Sun-Photometer (SPHOT) and the NASA AERONET and Satellite-based surface albedo derived from MODSI. Finally, the algorithm produces uncertainties along with the retrieval products. This VAP outputs a daily NetCDF file.
DOI: 10.5439/1673767
title: dlfpt.a1

description: This is one of the output datastreams for Doppler Lidar ingest on motion platform
DOI: 10.5439/1699390
title: pccpb.c1

description: Point Cloud of Cloud Points (PCCP) VAP provides a stereo reconstructed Point Cloud of Cloud Points (PCCP) that correspond to the x,y,z coordinates of cloud features detected from stereo image pairs generated from a multi-view stereo system deployed to collect exclusive set of data on shallow cumulus clouds overhead.
DOI: 10.5439/1735922
title: dlusr.a1

description: This is one of the output datastreams for Doppler Lidar ingest on motion platform
DOI: 10.5439/1756637
title: mfrsr7nchcal

description: Output of mfraod vap, containing calculated Ios for calibration and ozone and Rayleigh optical depths.
DOI: 10.5439/1776643
title: aoshtdma.b1

description: aoshtdma
DOI: 10.5439/1778240
title: ARM Aerial Facility (AAF) Portable Optical Particle Counter (inside payload bay)

description: ARM Aerial Facility (AAF) Portable Optical Particle Counter (inside payload bay)
DOI: 10.5439/1812559
title: AOS: Sulfur Dioxide Analyzer - b0 level QC process

description: AOS: Sulfur Dioxide Analyzer - b0 level QC process
DOI: 10.5439/1812560
title: AOS: Sulfur Dioxide Analyzer - b0-level datastream containing so2 averages during calibration intervals

description: AOS: Sulfur Dioxide Analyzer - b0-level datastream containing so2 averages during calibration intervals
DOI: 10.5439/1812895
title: Multi-Angle Snowflake Camera a1

description: The a1 level data production for the Mutli-Angle Snowflake Camera.
DOI: 10.5439/1812896
title: Multi-Angle Snowflake Camera 00

description: The 00 level data production for the Mutli-Angle Snowflake Camera.
DOI: 10.5439/1822138
title: AOS: aerosol chemical speciation monitor, time-of-flight species data

description: AOS: aerosol chemical speciation monitor, time-of-flight species data
DOI: 10.5439/1823260
title: dlmcfpt.c1

description: The DLMC VAP uses inertial data from the ARM NAV system to transform the Doppler lidar beam angles (az and el) from the lidar's frame of reference to an Earth-fixed frame such the azimuth angle is measured clockwise from true north and the elevation angle is measured from the local horizon. Additionally, the VAP compensates the observed radial (air) velocity data for the effects of the platform velocity (i.e. corrected_radial_velocity = observed_radial_velocity-platform_radial_velocity). The VAP was developed specifically for MOSAiC. The dlmcfpt.c1 product contains the fixed point, or staring data. The dlmcusr.c1 product contains a user defined scan which is anything the operator wants it to be.
DOI: 10.5439/1824204
title: dlmcusr.c1

description: The DLMC VAP uses inertial data from the ARM NAV system to transform the Doppler lidar beam angles (az and el) from the lidar's frame of reference to an Earth-fixed frame such the azimuth angle is measured clockwise from true north and the elevation angle is measured from the local horizon. Additionally, the VAP compensates the observed radial (air) velocity data for the effects of the platform velocity (i.e. corrected_radial_velocity = observed_radial_velocity-platform_radial_velocity). The VAP was developed specifically for MOSAiC. The dlmcfpt.c1 product contains the fixed point, or staring data. The dlmcusr.c1 product contains a user defined scan which is anything the operator wants it to be.
DOI: 10.5439/1824224
title: aosopc.b1

description: Aerosol Observing System (AOS): Optical Particle Counter Corrections
DOI: 10.5439/1825927
title: csphotzenradv3.a1

description: DOI for csphotzenradv3 with data level a1
DOI: 10.5439/1827703
title: SGP TBS POPS 2021

description: TBS POPS data from SGP site in 2021
DOI: 10.5439/1827708
title: SGP TBS CPC

description: TBS CPC measurement at the SGP site in 2021
DOI: 10.15485/1838886
title: Soil pore network response to freeze-thaw cycles in permafrost aggregates

description: This dataset contains data used for the paper "Pore network response to freeze-thaw cycles in permafrost aggregates". The Related References field will be updated with a full citation when available.Climate change in Arctic landscapes may increase freeze-thaw frequency within the active layer as well as newly thawed permafrost. A highly disruptive process, freeze-thaw can deform soil pores and alter the architecture of the soil pore network with varied impacts to water transport and retention, redox conditions, and microbial activity. Our objective was to investigate how freeze-thaw cycles impacted the pore network of newly thawed permafrost aggregates to improve understanding of what type of transformations can be expected from warming Arctic landscapes. We measured the impact of freeze-thaw on pore morphology, pore throat diameter distribution, and pore connectivity with X-ray computed tomography (XCT) using six permafrost aggregates with sizes of 2.5 cm3 from a mineral soil horizon (Bw; 28-50 cm depths) in Toolik, Alaska. Freeze-thaw cycles were performed using a laboratory incubation consisting of five freeze-thaw cycles (-10˚C to 20˚C) over five weeks. Our findings indicated decreasing spatial connectivity of the pore network across all aggregates with higher frequencies of singly connected pores following freeze-thaw. Water-filled pores that were connected to the pore network decreased in volume while the overall connected pore volumetric fraction was not affected. Shifts in the pore throat diameter distribution were mostly observed in pore throats ranges of 100 microns or less with no corresponding changes to the pore shape factor of pore throats. Responses of the pore network to freeze-thaw varied with aggregate, suggesting that initial pore morphology may play a role in driving freeze-thaw response. Our research suggests that freeze-thaw alters the microenvironment of permafrost aggregates during the incipient stage of deformation following permafrost thaw, impacting soil properties and function in Arctic landscapes undergoing transition. This dataset contains a compressed (.zip) archive of the data and R scripts used for this manuscript. The dataset includes files in .csv format, which can be accessed and processed using MS Excel or R. This archive can also be accessed on GitHub at https://github.com/Erin-Rooney/XCT-freezethaw (DOI: 10.5281/zenodo.5816355).
DOI: 10.5439/1843980
title: aosopc.a1

description: Aerosol Observing System (AOS): Optical Particle Counter
DOI: 10.5439/1860369
title: Hourly VARANAL for COMBLE based on ECMWF

description: This DOI is needed for the large-scale forcing data we created for the COMBLE between Dec. 2019 and May 2020.
DOI: 10.5439/1862017
title: tbsmerged.c1

description: tbsmerged.c1
DOI: 10.5439/1862018
title: tbsmergedincloud.c1

description: tbsmergedincloud.c1
DOI: 10.5439/1865399
title: AOS: aerosol chemical speciation monitor, time-of-flight species b1-level data

description: AOS: aerosol chemical speciation monitor, time-of-flight species b1-level data
DOI: 10.5439/1869768
title: Ka-Band Scanning ARM Cloud Radar (a0)

description: The Ka-Band Scanning ARM Cloud Radar (KASACR) records cloud properties. ARM's scanning cloud radars are dual-frequency, dual-polarization Doppler radars mounted on a common scanning pedestal. Each pedestal includes a Ka-band radar (2kW peak power) and the deployment location determines whether the second radar is a W-band (1.7 kW peak power) or an X-band (20 kW peak power). Beamwidths for Ka-bands paired with W-bands are roughly matched at 0.3 degrees. The X-band beamwidth is approximately 1 degree. Due to the narrow antenna beamwidth, ARM’s scanning cloud radars use scanning strategies unlike typical weather radars. Rather than focusing on plan position indicator, or PPI, scans, the KASACR uses range height indicator, or RHI, scans at numerous azimuths to obtain cloud volume data. Measurements collected with the KASACR are copolar and cross-polar radar reflectivity, Doppler velocity, spectra width and spectra when not scanning, and linear depolarization ratio. KASACR data from the 2018–2019 Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in Argentina are now available as b1-level products. Building on the original CACTI operational data, the b1-level products feature improved data quality resulting from extensive analyses and corrections. The data are cross-calibrated to a common point, datastreams are corrected for operational issues that occurred during the campaign, and several data quality masks and basic derived products are incorporated. For more information, read the CACTI radar b1-level processing report.
DOI: 10.5439/1869773
title: Ka ARM Zenith Radar (a0)

description: The Ka-band ARM Zenith Radar (KAZR) remotely probes the extent and composition of clouds at millimeter wavelengths. The KAZR is a zenith-pointing Doppler radar that operates at a frequency of approximately 35 GHz. The main purpose of this radar is to determine the first three Doppler moments (reflectivity, vertical velocity, and spectral width) at a range resolution of approximately 30 meters from near-ground to nearly 20 kilometers in altitude. The KAZR replaces the millimeter-wavelength cloud radar (MMCR) and uses a new digital receiver that provides higher spatial and temporal resolution than the MMCR. In addition, spectral artifacts in the data are significantly reduced in the KAZR, allowing researchers to study cloud dynamics much more closely than with the MMCR. KAZR data from the 2018–2019 Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in Argentina are now available as b1-level products. Building on the original CACTI operational data, the b1-level products feature improved data quality resulting from extensive analyses and corrections. The data are cross-calibrated to a common point, datastreams are corrected for operational issues that occurred during the campaign, and several data quality masks and basic derived products are incorporated. For more information, read the CACTI radar b1-level processing report.
DOI: 10.5439/1870299
title: Marine W-Band (95 GHz) ARM Cloud Radar (a0)

description: The Marine W-Band (95 GHz) ARM Cloud Radar measures cloud properties, including radar Doppler and radar reflectivity. This instrument is a zenith-pointing W-Band ARM Cloud Radar (WACR) mounted on a stabilized platform for use aboard ships.
DOI: 10.5439/1870371
title: Solar Array Spectrometer (Hemispheric) Langley Regressions (c0)

description: sashenirlangley
DOI: 10.5439/1870596
title: Solar Array Spectrometer (Hemispheric) Langley Regressions (c0)

description: sashevislangley
DOI: 10.5439/1876547
title: Radar Contoured Frequency by Altitude Diagram (c1)

description: kazrcfad
DOI: 10.5439/1877567
title: Ka-Band Scanning ARM Cloud Radar (a1)

description: The Ka-Band Scanning ARM Cloud Radar (KASACR) records cloud properties. ARM's scanning cloud radars are dual-frequency, dual-polarization Doppler radars mounted on a common scanning pedestal. Each pedestal includes a Ka-band radar (2kW peak power) and the deployment location determines whether the second radar is a W-band (1.7 kW peak power) or an X-band (20 kW peak power). Beamwidths for Ka-bands paired with W-bands are roughly matched at 0.3 degrees. The X-band beamwidth is approximately 1 degree. Due to the narrow antenna beamwidth, ARM’s scanning cloud radars use scanning strategies unlike typical weather radars. Rather than focusing on plan position indicator, or PPI, scans, the KASACR uses range height indicator, or RHI, scans at numerous azimuths to obtain cloud volume data. Measurements collected with the KASACR are copolar and cross-polar radar reflectivity, Doppler velocity, spectra width and spectra when not scanning, and linear depolarization ratio. KASACR data from the 2018–2019 Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in Argentina are now available as b1-level products. Building on the original CACTI operational data, the b1-level products feature improved data quality resulting from extensive analyses and corrections. The data are cross-calibrated to a common point, datastreams are corrected for operational issues that occurred during the campaign, and several data quality masks and basic derived products are incorporated. For more information, read the CACTI radar b1-level processing report.
DOI: 10.5439/1877989
title: Ka-Band Scanning ARM Cloud Radar (a1)

description: The Ka-Band Scanning ARM Cloud Radar (KASACR) records cloud properties. ARM's scanning cloud radars are dual-frequency, dual-polarization Doppler radars mounted on a common scanning pedestal. Each pedestal includes a Ka-band radar (2kW peak power) and the deployment location determines whether the second radar is a W-band (1.7 kW peak power) or an X-band (20 kW peak power). Beamwidths for Ka-bands paired with W-bands are roughly matched at 0.3 degrees. The X-band beamwidth is approximately 1 degree. Due to the narrow antenna beamwidth, ARM’s scanning cloud radars use scanning strategies unlike typical weather radars. Rather than focusing on plan position indicator, or PPI, scans, the KASACR uses range height indicator, or RHI, scans at numerous azimuths to obtain cloud volume data. Measurements collected with the KASACR are copolar and cross-polar radar reflectivity, Doppler velocity, spectra width and spectra when not scanning, and linear depolarization ratio. KASACR data from the 2018–2019 Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in Argentina are now available as b1-level products. Building on the original CACTI operational data, the b1-level products feature improved data quality resulting from extensive analyses and corrections. The data are cross-calibrated to a common point, datastreams are corrected for operational issues that occurred during the campaign, and several data quality masks and basic derived products are incorporated. For more information, read the CACTI radar b1-level processing report.
DOI: 10.5439/1878136
title: acsmtofcdce.c1: Aerosol Chemical Speciation Monitor Time-Of-Flight Composition-Dependent Collection Efficiency

description: This VAP corrects aerosol chemical speciation monitor (ACSM) time of flight (TOF) data for non-unity particle detection through the application of a composition-dependent collection efficiency (CDCE). The data will initially be released at GUC S2.
DOI: 10.5439/1879095
title: aosptrh.b1

description: aos auxilary measurements (pressure, temperature, relative humidity, etc)
DOI: 10.5439/1879993
title: 30ecor (a1)

description: The eddy correlation (ECOR) flux measurement system provides half-hour measurements of the surface turbulent fluxes of momentum, sensible heat, latent heat, and carbon dioxide. The ECOR uses the eddy covariance technique, which involves correlation of the vertical wind component with the horizontal wind component, air temperature, water vapor density, and CO2 density. The system includes: A fast-response, 3D wind sensor (sonic anemometer) to record the orthogonal wind components and the speed of sound (SOS), which is used to derive the air temperature; An open-path infrared gas analyzer (IRGA) to obtain the water vapor density and CO2 density; and An IRGA to obtain the methane density (at the NSA and OLI sites only). ECOR systems are deployed where other methods for measuring surface fluxes, such as energy balance Bowen ratio systems (EBBR), are difficult to use. Uncorrected turbulent fluxes are available in the 30ecor datastream. It is recommended that routine ECOR corrections are applied to the data prior to use, and corrected fluxes are available in the 30qcecor VAP. In October 2019 the ECOR systems at SGP were upgraded with newer-model instruments, including the addition of a microprocessor allowing both uncorrected and corrected fluxes in a single datastream, ecorsf, and eliminating the need for the ECOR VAP at these sites.
DOI: 10.5439/1880010
title: 60iop22stdmobv21varana (c1)

description: 60iop22stdmobv21varana
DOI: 10.5439/1880204
title: 60iopsndgstdmobv21varana (c1)

description: 60iopsndgstdmobv21varana
DOI: 10.5439/1880206
title: 60iopsndgstdv21varana (c1)

description: 60iopsndgstdv21varana
DOI: 10.5439/1888172
title: wsacr2cfrcrras (a1)

description: ARM's scanning cloud radars are fully coherent dual-frequency, dual-polarization Doppler radars mounted on a common scanning pedestal. Each pedestal includes a Ka-band radar (2kW peak power) and the deployment location determines whether the second radar is a W-band (WSACR; 1.7 kW peak power) or X-band (XSACR; 20 kW peak power). Beamwidths at Ka and W bands are roughly matched at 0.3 degrees. Due to the narrow antenna beamwidth, ARM’s scanning cloud radars use scanning strategies that are unlike typical weather radars. Rather than focusing on plan position indicator, or PPI, scans, the Ka-SACR uses range height indicator, or RHI, scans at numerous azimuths to obtain cloud volume data. Measurements collected with the W-SACR are copolar and cross-polar radar reflectivity, Doppler velocity, spectra width and spectra when not scanning, and linear depolarization ration.