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Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) Data from the SERC 2003 Campaign

The AIRMISR_SERC_2003 data were acquired during a flight over the Smithsonian Environmental Research Center, Maryland, USA, target as part of the AirMISR deployments from the Wallops Flight Facility during the August 2003 campaign. This particular flight took place on August 20, 2003. The Jet Propulsion Laboratory (JPL) in Pasadena, California provided the data. There was a total of one run during this flight. A run comprises data collected from nine view angles acquired on a fixed flight azimuth angle. Each data file from one run contains either: a) Level 1B1 Radiometric product from one of the 9 camera angles or b) Level 1B2 Georectified radiance product from one of the 9 camera angles. Browse images in PNG format are available for the Level 1B1 product and browse images in JPEG format are available for the Level 1B2 product. The Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) is an airborne instrument for obtaining multi-angle imagery similar to that of the satellite-borne Multi-angle Imaging SpectroRadiometer (MISR) instrument, which is designed to contribute to studies of the Earth's ecology and climate. AirMISR flies on the NASA ER-2 aircraft. The Jet Propulsion Laboratory in Pasadena, California built the instrument for NASA. Unlike the satellite-borne MISR instrument, which has nine cameras oriented at various angles, AirMISR uses a single camera in a pivoting gimbal mount. A data run by the ER-2 aircraft is divided into nine segments, each with the camera positioned to a MISR look angle. The gimbal rotates between successive segments, such that each segment acquires data over the same area on the ground as the previous segment. This process is repeated until all nine angles of the target area are collected. The swath width, which varies from 11 km in the nadir to 32 km at the most oblique angle, is governed by the camera's instantaneous field-of-view of 7 meters cross-track x 6 meters along-track in the nadir view and 21 meters x 55 meters at the most oblique angle. The along-track image length at each angle is dictated by the timing required to obtain overlap imagery at all angles, and varies from about 9 km in the nadir to 26 km at the most oblique angle. Thus, the nadir image dictates the area of overlap that is obtained from all nine angles. A complete flight run takes approximately 13 minutes. The 9 camera viewing angles are: 0 degrees or nadir 26.1 degrees, fore and aft 45.6 degrees, fore and aft 60.0 degrees, fore and aft 70.5 degrees, fore and aft. For each of the camera angles, images are obtained at 4 spectral bands. The spectral bands can be used to identify vegetation and aerosols, estimate surface reflectance and for ocean color studies. The center wavelengths of the 4 spectral bands are: 443 nanometers, blue 555 nanometers, green 670 nanometers, red 865 nanometers, near-infrared. Two types of AirMISR data products are available - the Level 1 Radiometric product (L1B1) and the Level 1 Georectified radiance product (L1B2). The Level 1 Radiometric product contains data that are scaled to convert the digital output of the cameras to radiances and are conditioned to remove instrument-dependent effects. Additionally, all radiances are adjusted to remove slight spectral sensitivity differences among the detector elements of each spectral band. These data have a 7-meter spatial resolution at nadir and around 30-meter at the most oblique 70.5 degree angles. The Level 1 Georectified radiance product contains the Level 1 radiometric product resampled to a 27.5 meter spatial resolution and mapped into a standard Universal Transverse Mercator (UTM) map projection. Initially the data are registered to each camera angle and to the ground. This processing is necessary because the nine views of each point on the ground are not acquired simultaneously. Once the map grid center points are located in the AirMISR imagery through the process of georectification, a radiance value obtained from the surrounding AirMISR pixels is assigned to that map grid center. Bilinear interpolation is used as the basis for computing the new radiance. A UTM grid point falling somewhere in the image data will have up to 4 surrounding points. The bilinear interpolated value is obtained using the fractional distance of the interpolation point in the cross-track direction and the fractional distance in the along-track direction.

MASTER: Western Diversity Time Series Campaign, WDTS, California, USA, Fall 2020

This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Western Diversity Time Series (WDTS, formerly HyspIRI) program during nine flights aboard a NASA ER-2 aircraft over selected areas of California, U.S, from 2020-09-17 to 2020-10-15. The WDTS program will observe California's ecosystems and provide critical information on natural disasters such as volcanoes, wildfires, and drought. MASTER products can identify vegetation type and health and provide a benchmark for the state of the ecosystems against which future changes can be assessed. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each deployment, and browse images derived from each L1B data file.

SPURS-2 shipboard X-band radar backscatter data for the E. Tropical Pacific field campaign

The SPURS-2 X-band marine navigation radar image dataset was collected from the ship during both the 2016 and 2017 cruises. The dataset consists of screenshots of rain echoes captured directly from the science-use X-band marine navigation radar. Raw data could not be saved. The screenshots show qualitative (uncalibrated) echoes of backscatter from rain. For full details on the screenshots, how they should be used, and what they show about rainfall, please refer to our publication: Thompson, E.J., W.E. Asher, A.T. Jessup, and K. Drushka. 2019. High-Resolution Rain Maps from an X-band Marine Radar and Their Use in Understanding Ocean Freshening. Oceanography 32(2):58–65, https://doi.org/10.5670/oceanog.2019.213 . The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans.

SPURS-2 Passive Accoustic Listener (PAL) data from ARGO float deployments during the E. Tropical Pacific field campaign

The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Part of the Argo global network of autonomous, self-reporting samplers, Argo floats drift horizontally and move vertically through the water column generally on 10 day cycles, collecting high-quality temperature, conductivity and salinity depth (CTD) profiles from the upper 2000m. Four of the Twenty five floats deployed during SPURS-2 within the campaign spatial domain and time period were additionally equipped with acoustic rain gauges (PAL - Passive Acoustic Listeners). SPURS-2 ARGO-PAL data files are in netCDF/CF-compliant data format and organized per float. Float identifiers associated with ARGO CTD data are referenced in the metadata of the related PAL files.

Saildrone field campaign surface and ADCP measurements for the Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC) project

Saildrone is a wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments lasting up to 12 months and providing high quality, near real-time, multivariate surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. The drone is autonomous in that it may be guided remotely from land while being completely wind driven. The saildrone ATOMIC (Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign) campaign involved the deployment of a fleet of saildrones, jointly funded by NASA and NOAA, in the Atlantic waters offshore of Barbados over a 45 day period from 17 January to 2 March 2020. The goal was to understand the Ocean-Atmosphere interaction particularly over the mesoscale ocean eddies in that region. The saildrones were equipped with a suite of instruments that included a CTD, IR pyrometer, fluorometer, dissolved oxygen sensor, anemometer, barometer, and Acoustic Doppler Current Profiler (ADCP). Additionally, four temperature data loggers were positioned vertically along hull to provide further information on thermal variability near the ocean surface. This Saildrone ATOMIC dataset is comprised of two data files for each of the three NASA-funded saildrones deployed, one for the surface observations and one for the ADCP measuements. The surface data files contain saildrone platform telemetry and near-surface observational data (air temperature, sea surface skin and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, wind speed and direction) spanning the entire cruise at 1 minute temporal resolution. The ADCP files for each saildrone are at 5 minute resolution for the duration of the deployments. All data files are in netCDF format and CF/ACDD compliant consistent with the NOAA/NCEI specification.

Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) Data from the CLAMS 2001 Campaign

The AIRMISR_CLAMS_2001 data were acquired during the CLAMS campaign on July 12, July 17, August 1, and August 2 of 2001. The Jet Propulsion Laboratory (JPL) in Pasadena, California provided the data. The Chesapeake Lighthouse and Aircraft Measurements for Satellites (CLAMS) field campaign was held in the summer of 2001 at the CERES Ocean Validation Experiment (COVE) site in the Chesapeake Bay, 20 km east of Virginia Beach. CLAMS is a clear-sky, shortwave closure campaign in conjunction with MISR, CERES, MODIS-Atmospheres and the Global Aerosol Climatology Project (GACP). Its goals were to obtain more accurate broadband fluxes at sea surface and within the atmosphere, space-time variability of spectral BRDF of the sea surface, and aerosol retrievals. The Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) is an airborne instrument for obtaining multi-angle imagery similar to that of the satellite-borne Multi-angle Imaging SpectroRadiometer (MISR) instrument, which is designed to contribute to studies of the Earth's ecology and climate. AirMISR flies on the NASA ER-2 aircraft. The Jet Propulsion Laboratory in Pasadena, California built the instrument for NASA. Unlike the satellite-borne MISR instrument, which has nine cameras oriented at various angles, AirMISR uses a single camera in a pivoting gimbal mount. A data run by the ER-2 aircraft is divided into nine segments, each with the camera positioned to a MISR look angle. The gimbal rotates between successive segments, such that each segment acquires data over the same area on the ground as the previous segment. This process is repeated until all nine angles of the target area are collected. The swath width, which varies from 11 km in the nadir to 32 km at the most oblique angle, is governed by the camera's instantaneous field-of-view of 7 meters cross-track x 6 meters along-track in the nadir view and 21 meters x 55 meters at the most oblique angle. The along-track image length at each angle is dictated by the timing required to obtain overlap imagery at all angles, and varies from about 9 km in the nadir to 26 km at the most oblique angle. Thus, the nadir image dictates the area of overlap that is obtained from all nine angles. A complete flight run takes approximately 13 minutes. The 9 camera viewing angles are: 0 degrees or nadir 26.1 degrees, fore and aft 45.6 degrees, fore and aft 60.0 degrees, fore and aft 70.5 degrees, fore and aft. For each of the camera angles, images are obtained at 4 spectral bands. The spectral bands can be used to identify vegetation and aerosols, estimate surface reflectance and ocean color studies. The center wavelengths of the 4 spectral bands are: 443 nanometers, blue 555 nanometers, green 670 nanometers, red 865 nanometers, near-infrared two types of AirMISR data products are available - the Level 1 Radiometric product (L1B1) and the Level 1 Georectified radiance product (L1B2).

MASTER: Western Diversity Time Series Campaign, WDTS, September 2022

This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Western Diversity Time Series (WDTS, formerly HyspIRI) airborne campaign during five flights aboard a NASA ER-2 aircraft over California and Nevada, U.S., from 2022-09-02 to 2022-09-09. The WDTS campaign will observe California's ecosystems and provide critical information on natural disasters such as volcanoes, wildfires, and drought. MASTER products can identify vegetation type and health and provide a benchmark for the state of the ecosystems against which future changes can be assessed. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.

Neutrally buoyant float data for the SPURS-1 N. Atlantic field campaign

The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Neutrally buoyant floats drift and move through the water column providing continuous temperature and salinity profiles via 2 integrated CTDs and GPS surface position location data. Two floats were deployed during SPURS-1, one during the Knorr cruise in September 2012 another deployed during the April 2013 Endeavor cruise. Recoveries were in April and September 2013 respectively. Neutrally buoyant float trajectory profile data include georeferenced time series of salinity, temperature, and pressure/depth observations.

GOES-R PLT Field Campaign Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG)

The GOES-R PLT Field Campaign Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) dataset consists of radiance, reflectance, water phase, and navigation data collected by the Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) for the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign took place from March to May of 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). AVIRIS-NG is an imaging spectrometer that measures reflected radiance at 5 nm intervals in the Visible/Short-Wave Infrared (VSWIR) spectral range from 380-2,510 nm. AVIRIS-NG flew onboard the NASA ER-2 high-altitude aircraft during the GOES-R PLT field campaign. Data files in ASCII and BINARY formats are available for March 23 and 28, 2017.

Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) Data from the Harvard 2003 Campaign

The AIRMISR_HARVARD_2003 data set was acquired during a flight over the Harvard Forest, Massachusetts, USA, target as part of the AirMISR deployments from the Wallops Flight Facility during the August 2003 campaign. This particular flight took place on August 24, 2003. The Jet Propulsion Laboratory (JPL) in Pasadena, California provided the data. There were a total of two runs during this flight. A run comprises data collected from nine view angles acquired on a fixed flight azimuth angle. Each data file from one run contains either: a) Level 1B1 Radiometric product from one of the 9 camera angles or b) Level 1B2 Georectified radiance product from one of the 9 camera angles. Browse images in PNG format are available for the Level 1B1 product and browse images in JPEG format are available for the Level 1B2 product. The Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) is an airborne instrument for obtaining multi-angle imagery similar to that of the satellite-borne Multi-angle Imaging SpectroRadiometer (MISR) instrument, which is designed to contribute to studies of the Earth's ecology and climate. AirMISR flies on the NASA ER-2 aircraft. The Jet Propulsion Laboratory in Pasadena, California built the instrument for NASA. Unlike the satellite-borne MISR instrument, which has nine cameras oriented at various angles, AirMISR uses a single camera in a pivoting gimbal mount. A data run by the ER-2 aircraft is divided into nine segments, each with the camera positioned to a MISR look angle. The gimbal rotates between successive segments, such that each segment acquires data over the same area on the ground as the previous segment. This process is repeated until all nine angles of the target area are collected. The swath width, which varies from 11 km in the nadir to 32 km at the most oblique angle, is governed by the camera's instantaneous field-of-view of 7 meters cross-track x 6 meters along-track in the nadir view and 21 meters x 55 meters at the most oblique angle. The along-track image length at each angle is dictated by the timing required to obtain overlap imagery at all angles, and varies from about 9 km in the nadir to 26 km at the most oblique angle. Thus, the nadir image dictates the area of overlap that is obtained from all nine angles. A complete flight run takes approximately 13 minutes. The 9 camera viewing angles are: 0 degrees or nadir 26.1 degrees, fore and aft 45.6 degrees, fore and aft 60.0 degrees, fore and aft 70.5 degrees, fore and aft. For each of the camera angles, images are obtained at 4 spectral bands. The spectral bands can be used to identify vegetation and aerosols, estimate surface reflectance and for ocean color studies. The center wavelengths of the 4 spectral bands are: 443 nanometers, blue 555 nanometers, green 670 nanometers, red 865 nanometers, near-infrared. Two types of AirMISR data products are available - the Level 1 Radiometric product (L1B1) and the Level 1 Georectified radiance product (L1B2). The Level 1 Radiometric product contains data that are scaled to convert the digital output of the cameras to radiances and are conditioned to remove instrument-dependent effects. Additionally, all radiances are adjusted to remove slight spectral sensitivity differences among the detector elements of each spectral band. These data have a 7-meter spatial resolution at nadir and around 30-meter at the most oblique 70.5 degree angles. The Level 1 Georectified radiance product contains the Level 1 radiometric product resampled to a 27.5 meter spatial resolution and mapped into a standard Universal Transverse Mercator (UTM) map projection. Initially the data are registered to each camera angle and to the ground. This processing is necessary because the nine views of each point on the ground are not acquired simultaneously. Once the map grid center points are located in the AirMISR imagery through the process of georectification, a radiance value obtained from the surrounding AirMISR pixels is assigned to that map grid center. Bilinear interpolation is used as the basis for computing the new radiance. A UTM grid point falling somewhere in the image data will have up to 4 surrounding points. The bilinear interpolated value is obtained using the fractional distance of the interpolation point in the cross-track direction and the fractional distance in the along-track direction.

SPURS-2 Neutrally buoyant float data for the E. Tropical Pacific field campaign

The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Neutrally buoyant floats (also known as Mixed Layer Floats - MLF) drift and move through the water column providing continuous CTD temperature and salinity profiles and GPS surface position location data. One float was deployed in SPURS-2 during the first Revelle cruise in August 2016 and recovered in December 2016 after 3.5 months about 1800 km east of the central mooring. The MLF data are provided in netCDF file format with standards compliant metadata.

Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) Data from the Lunar Lake 2001 Campaign

The AIRMISR_LUNAR_LAKE_2001 data were acquired during a flight over Lunar Lake, Nevada on June 30, 2001. The Jet Propulsion Laboratory (JPL) in Pasadena, California provided the data. The Airborne Multi-angle Imaging SpectroRadiometer (AirMISR) is an airborne instrument for obtaining multi-angle imagery similar to that of the satellite-borne Multi-angle Imaging SpectroRadiometer (MISR) instrument, which is designed to contribute to studies of the Earth's ecology and climate. AirMISR flies on the NASA ER-2 aircraft. The Jet Propulsion Laboratory in Pasadena, California built the instrument for NASA. Unlike the satellite-borne MISR instrument, which has nine cameras oriented at various angles, AirMISR uses a single camera in a pivoting gimbal mount. A data run by the ER-2 aircraft is divided into nine segments, each with the camera positioned to a MISR look angle. The gimbal rotates between successive segments, such that each segment acquires data over the same area on the ground as the previous segment. This process is repeated until all nine angles of the target area are collected. The swath width, which varies from 11 km in the nadir to 32 km at the most oblique angle, is governed by the camera's instantaneous field-of-view of 7 meters cross-track x 6 meters along-track in the nadir view and 21 meters x 55 meters at the most oblique angle. The along-track image length at each angle is dictated by the timing required to obtain overlap imagery at all angles, and varies from about 9 km in the nadir to 26 km at the most oblique angle. Thus, the nadir image dictates the area of overlap that is obtained from all nine angles. A complete flight run takes approximately 13 minutes. The 9 camera viewing angles are: 0 degrees or nadir 26.1 degrees, fore and aft 45.6 degrees, fore and aft 60.0 degrees, fore and aft 70.5 degrees, fore and aft. For each of the camera angles, images are obtained at 4 spectral bands. The spectral bands can be used to identify vegetation and aerosols, estimate surface reflectance and for ocean color studies. The center wavelengths of the 4 spectral bands are: 443 nanometers, blue 555 nanometers, green 670 nanometers, red 865 nanometers, near-infrared. Two types of AirMISR data products are available - the Level 1 Radiometric product (L1B1) and the Level 1 Georectified radiance product (L1B2).

SPURS-2 Rawinsonde meteorological data for the E. Tropical Pacific field campaign R/V Revelle cruises

The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. A Rawinsonde is a helium balloon carrying meteorological instruments and a radar target, enabling the velocity of atmospheric parameters to be measured. During the first Revelle cruise, rawinsondes were launched every 6-hours, providing a total of 85 profiles of temperature, humidity, wind speed and direction through the marine atmospheric boundary layer within the SPURS-2 domain. Similarly, during the second Revelle cruise, rawinsondes were deployed four-times daily within the study area over the 3-week period. SPURS2 rawinsonde data are available as netCDF, CF-compliant data files.

opencc-by-4.0Jan 2020View details →

Air parcels extracted from LES simulations of a deep convective cloud observed during DC3 field campaign

The dataset consists of 500 files describing air parcels retrieved from the simulation of the deep convective cloud event observed on May 29, 2012, during the DC3 field campaign. Values for coordinate (X, Y, Z), velocity components (U, V, W), potential temperature (PTIL), total water content (QT), water vapor (QV), condensate density (QC), precipitation density (QR), net precipitation change (QR_FLUX), relative humidity (RH), buoyancy (BUOY), temperature (T), pressure (P), resolved TKE (KRES), SGS TKE (SGS_TKE), turbulent diffusion (TDIFF) are provided for each parcel at every time step of the simulation.

opencc-by-4.0Mar 2020View details →

Aircraft measurement data obtained within the framework of the 3DO measurement campaign in summer 2018 over Berlin

Based on airborne in-situ CO2, CH4 and meteorological measurements from two flights on July 20th and 24th of 2018 we study the greenhouse gas emissions downwind of the German capital Berlin. Measurement flights were conducted within the Urban Climate Under Change [UC]2 programme (module B: Three-Dimensional Observation of Atmospheric Processes in Cities, 3DO). Results are published in T. Klausner, M. Mertens, H. Huntrieser, M. Galkowski, G. Kuhlmann, R. Baumann, A. Fiehn, P. Jöckel, M. Pühl, and A. Roiger: Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018, Elementa: Science of the Anthropocene (Ref.: Ms. No. ELEMENTA-D-19-00074R1), 2019.

opencc-by-4.0Mar 2020View details →

Data from the Blackpool testing controlled methane release field campaign of 2018

This dataset contains raw data from Amanda (UAV1) and Phillipa (UAV2), which was acquired during UAV sampling downwind of a controlled methane release in the year 2018. Raw position and wind measurements are provided from on-board UAV1 with mole fraction measurements from a ground-based instrument connected to UAV. Raw position and mole-fraction measurements are provided from on-board UAV2. Wind speed and wind direction measurements are provided from a stationary anemometer. Temperature, pressure and relative humidity measurements are provided from a stationary monitoring station. Processed positional and corrected mole fraction measurements are provided for both UAVs. Derived wind-height profiles are provided for each flight survey. Flux results for all flight surveys are provided as MATLAB files, with results provided as a text output. Results for the analysis can be found in the journal article, "Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling", published in Atmospheric Measurement Techniques.

opencc-by-4.0Aug 2024View details →

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.

embargoedcc-by-4.0Apr 2024View details →

SCARCE campaign - Remote sensing datasets

This repository contains datasets from the remote sensing instrumentation used during the SCARCE (Synchronized Characterization of Aerosol, Radon and Carbon dioxide Exchanges in drylands) campaign. This campaign took place from July 18 2023 to January 15 2024, at the Aguamarga station (36.94ºN, 2.03ºW, 205 m asl) in Southern Spain, within the framework of the INTEGRATYON3 project (PID2020-117825GB-C21 and PID2020-117825GB-C22), funded by MCIN/AEI/10.13039/501100011033. The primary focus of the campaign was to investigate and characterize aerosol particles, radon and greenhouse gas exchanges in a Mediterranean scrub located in the heart of Cabo de Gata-Níjar Natural Park. Instruments deployed at the station included a HALO Photonics StreamLine Doppler lidar, a CHM15k-Nimbus ceilometer (Lufft) and a sun-sky photometer (Cimel Electronique), all operating continuously. The Doppler lidar dataset correspond to the raw data produced by the instrument software as well as the products produced by the "HALO lidar toolbox", developed by Manninen (2019; <a href="https://github.com/manninenaj/HALO_lidar_toolbox" target="_blank" rel="noopener">https://github.com/manninenaj/HALO_lidar_toolbox</a>). Ceilometer dataset correspond to the raw data produced by the instrument software. Sun-photometer data is accessible via AERONET (<a href="https://aeronet.gsfc.nasa.gov/cgi-bin/data_display_aod_v3?site=Guadiana-UGR" target="_new">https://aeronet.gsfc.nasa.gov/cgi-bin/data_display_aod_v3?site=Guadiana-UGR</a>). For more information about the datasets contact Juan Luis Guerrero-Rascado (rascado@ugr.es) and Jesús Abril-Gago (jabrilgago@ugr.es).

embargoedcc-by-4.0Apr 2024View details →

BLOOM II campaign - Remote sensing datasets

This repository contains datasets from the remote sensing instrumentation used during the BLOOM II (turBulence and oLea pOllen prOperties experiMent) campaign. This campaign took place from March 28 to May 31 2023, at the Guadiana-UGR station (37.91ºN, 3.23ºW, 370 m asl) in Southern Spain, within the framework of the INTEGRATYON3 project (PID2020-117825GB-C21 and PID2020-117825GB-C22), funded by MCIN/AEI/10.13039/501100011033. The primary focus of the campaign was to investigate olive tree pollen emissions and characterize aerosol particles and greenhouse gas exchanges in an olive field. Instruments deployed at the station included a HALO Photonics StreamLine Doppler lidar, a CHM15k-Nimbus ceilometer (Lufft) and a sun-sky photometer (Cimel Electronique), all operating continuously. The Doppler lidar dataset correspond to the raw data produced by the instrument software as well as the products produced by the "HALO lidar toolbox", developed by Manninen (2019; <a href="https://github.com/manninenaj/HALO_lidar_toolbox" target="_blank" rel="noopener">https://github.com/manninenaj/HALO_lidar_toolbox</a>). Ceilometer dataset correspond to the raw data produced by the instrument software. Sun-photometer data is accessible via AERONET (<a href="https://aeronet.gsfc.nasa.gov/cgi-bin/data_display_aod_v3?site=Guadiana-UGR" target="_new">https://aeronet.gsfc.nasa.gov/cgi-bin/data_display_aod_v3?site=Guadiana-UGR</a>). For more information about the datasets contact Juan Luis Guerrero-Rascado (rascado@ugr.es) and Jesús Abril-Gago (jabrilgago@ugr.es).