100+ datasets found
  1. Data from: LISTOS Stony Brook Aircraft In-Situ Data

    • s.cnmilf.com
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • +3more
    Updated Jun 28, 2025
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    NASA/LARC/SD/ASDC (2025). LISTOS Stony Brook Aircraft In-Situ Data [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/listos-stony-brook-aircraft-in-situ-data
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    LISTOS_AircraftInSitu_StonyBrookAircraft_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) in-situ data collected onboard the Stony Brook Aircraft during the LISTOS field campaign. This product is a result of a joint effort across multiple agencies, including NASA, NOAA, the EPA Northeast States for Coordinated Air Use Management (NESCAUM), Maine Department of Environmental Protection, New Jersey Department of Environmental Protection, New York State Department of Environmental Conservation and several research groups at universities. Data collection is complete.The New York City (NYC) metropolitan area (comprised of portions of New Jersey, New York, and Connecticut in and around NYC) is home to over 20 million people, but also millions of people living downwind in neighboring states. This area continues to persistently have challenges meeting past and recently revised federal health-based air quality standards for ground-level ozone, which impacts the health and well-being of residents living in the area. A unique feature of this chronic ozone problem is the pollution transported in a northeast direction out of NYC over Long Island Sound. The relatively cool waters of Long Island Sound confine the pollutants in a shallow and stable marine boundary layer. Afternoon heating over coastal land creates a sea breeze that carries the air pollution inland from the confined marine layer, resulting in high ozone concentrations in Connecticut and, at times, farther east into Rhode Island and Massachusetts. To investigate the evolving nature of ozone formation and transport in the NYC region and downwind, Northeast States for Coordinated Air Use Management (NESCAUM) launched the Long Island Sound Tropospheric Ozone Study (LISTOS). LISTOS was a multi-agency collaborative study focusing on Long Island Sound and the surrounding coastlines that continually suffer from poor air quality exacerbated by land/water circulation. The primary measurement observations took place between June-September 2018 and include in-situ and remote sensing instrumentation that were integrated aboard three aircraft, a network of ground sites, mobile vehicles, boat measurements, and ozonesondes. The goal of LISTOS was to improve the understanding of ozone chemistry and sea breeze transported pollution over Long Island Sound and its coastlines. LISTOS also provided NASA the opportunity to test air quality remote sensing retrievals with the use of its airborne simulators (GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS), and Geostationary Trace gas and Aerosol Sensory Optimization (GeoTASO)) for the preparation of the Tropospheric Emissions; Monitoring of Pollution (TEMPO) observations for monitoring air quality from space. LISTOS also helped collaborators in the validation of Tropospheric Monitoring Instrument (TROPOMI) science products, with use of airborne- and ground-based measurements of ozone, NO2, and HCHO.

  2. c

    In situ optical, oceanographic and meteorological data including spectral...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jul 1, 2025
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    (Point of Contact) (2025). In situ optical, oceanographic and meteorological data including spectral radiance, remote sensing reflectance and other oceanographic and meteorological data collected aboard NOAA Ship Nancy Foster in the US Coastal mid-Atlantic and Western Atlantic Ocean for the JPSS dedicated VIIRS Calibration/Validation cruise from 2014-11-11 to 2014-11-20 (NCEI Accession 0156310) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/in-situ-optical-oceanographic-and-meteorological-data-including-spectral-radiance-remote-sensin3
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    Dataset updated
    Jul 1, 2025
    Dataset provided by
    (Point of Contact)
    Area covered
    Atlantic Ocean, United States
    Description

    This dataset contains oceanographic and meteorological data collected during the Dedicated JPSS VIIRS Ocean Color Calibration/Validation Cruise (NF-14-09). The measured variables include optical backscatter, particulate organic carbon, pigments, salinity, water temperature, chromophoric dissolved matter (CDOM), chlorophyll, air temperature, wind direction and speed. The purpose of this cruise aboard NOAA Ship Nancy Foster was to collect in situ optical and ancillary data for validation of JPSS VIIRS satellite ocean color radiometry and derived products. The project interval was 9 to 22 November 2014. This 14-day interval included 10 days at sea (including transits), 2 staging days, 1 de-staging day and 1 day crew rest. Days at sea were 11 to 20 November 2014. The primary area of operations was the Western Atlantic along the U.S. Mid- and Southeastern Coast, including cross-shelf, Gulf Stream and blue waters. The cruise track was optimized to accommodate sampling transient features present in the region while respecting weather conditions during the time of the cruise. The cruise transected over 1800 km and occupied 23 stations for collection of underway and profile ocean color measurements during the 10-day duration.

  3. Data from: LISTOS University of Maryland Cessna Aircraft In-Situ Data

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Jun 28, 2025
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    NASA/LARC/SD/ASDC (2025). LISTOS University of Maryland Cessna Aircraft In-Situ Data [Dataset]. https://catalog.data.gov/dataset/listos-university-of-maryland-cessna-aircraft-in-situ-data
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    LISTOS_AircraftInSitu_UMDAircraft_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) in-situ data collected onboard the University of Maryland Cessna Aircraft during the LISTOS field campaign. This product is a result of a joint effort across multiple agencies, including NASA, NOAA, the EPA Northeast States for Coordinated Air Use Management (NESCAUM), Maine Department of Environmental Protection, New Jersey Department of Environmental Protection, New York State Department of Environmental Conservation and several research groups at universities. Data collection is complete.The New York City (NYC) metropolitan area (comprised of portions of New Jersey, New York, and Connecticut in and around NYC) is home to over 20 million people, but also millions of people living downwind in neighboring states. This area continues to persistently have challenges meeting past and recently revised federal health-based air quality standards for ground-level ozone, which impacts the health and well-being of residents living in the area. A unique feature of this chronic ozone problem is the pollution transported in a northeast direction out of NYC over Long Island Sound. The relatively cool waters of Long Island Sound confine the pollutants in a shallow and stable marine boundary layer. Afternoon heating over coastal land creates a sea breeze that carries the air pollution inland from the confined marine layer, resulting in high ozone concentrations in Connecticut and, at times, farther east into Rhode Island and Massachusetts. To investigate the evolving nature of ozone formation and transport in the NYC region and downwind, Northeast States for Coordinated Air Use Management (NESCAUM) launched the Long Island Sound Tropospheric Ozone Study (LISTOS). LISTOS was a multi-agency collaborative study focusing on Long Island Sound and the surrounding coastlines that continually suffer from poor air quality exacerbated by land/water circulation. The primary measurement observations took place between June-September 2018 and include in-situ and remote sensing instrumentation that were integrated aboard three aircraft, a network of ground sites, mobile vehicles, boat measurements, and ozonesondes. The goal of LISTOS was to improve the understanding of ozone chemistry and sea breeze transported pollution over Long Island Sound and its coastlines. LISTOS also provided NASA the opportunity to test air quality remote sensing retrievals with the use of its airborne simulators (GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS), and Geostationary Trace gas and Aerosol Sensory Optimization (GeoTASO)) for the preparation of the Tropospheric Emissions; Monitoring of Pollution (TEMPO) observations for monitoring air quality from space. LISTOS also helped collaborators in the validation of Tropospheric Monitoring Instrument (TROPOMI) science products, with use of airborne- and ground-based measurements of ozone, NO2, and HCHO.

  4. TRACE-P In Situ P-3B Meteorology and Navigation Data

    • catalog.data.gov
    • s.cnmilf.com
    • +3more
    Updated Jul 10, 2025
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    NASA/LARC/SD/ASDC (2025). TRACE-P In Situ P-3B Meteorology and Navigation Data [Dataset]. https://catalog.data.gov/dataset/trace-p-in-situ-p-3b-meteorology-and-navigation-data-bbf3a
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    Dataset updated
    Jul 10, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    TRACE-P_MetNav_Aircraft_InSitu_P3B_Data is the in situ meteorology and navigation data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the P-3B Turbulent Air Motion Measurement System (TAMMS) is featured in this collection. Data collection for this product is complete.The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia.  In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.

  5. Data from: MEOP-CTD in-situ data collection: a Southern ocean Marine-mammals...

    • seanoe.org
    • sextant.ifremer.fr
    • +1more
    nc
    Updated Feb 2024
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    Fabien Roquet; Christophe Guinet; Jean-Benoit Charrassin; Daniel p. Costa; Kit m Kovacs; Christian Lydersen; Horst Bornemann; Marthan n. Bester; Monica c. Muelbert; Mark a. Hindell; Clive r. McMahon; Rob Harcourt; Lars Boehme; Mike a. Fedak; Vincent Doriot; Baptiste Picard (2024). MEOP-CTD in-situ data collection: a Southern ocean Marine-mammals calibrated sea water temperatures and salinities observations [Dataset]. http://doi.org/10.17882/45461
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    ncAvailable download formats
    Dataset updated
    Feb 2024
    Dataset provided by
    SEANOE
    Authors
    Fabien Roquet; Christophe Guinet; Jean-Benoit Charrassin; Daniel p. Costa; Kit m Kovacs; Christian Lydersen; Horst Bornemann; Marthan n. Bester; Monica c. Muelbert; Mark a. Hindell; Clive r. McMahon; Rob Harcourt; Lars Boehme; Mike a. Fedak; Vincent Doriot; Baptiste Picard
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Southern Ocean,
    Description

    the southern ocean plays a fundamental role in regulating the global climate. this ocean also contains a rich and highly productive ecosystem, potentially vulnerable to climate change. very large national and international efforts are directed towards the modeling of physical oceanographic processes to predict the response of the southern ocean to global climate change and the role played by the large-scale ocean climate processes. however, these modeling efforts are greatly limited by the lack of in situ measurements, especially at high latitudes and during winter months. the standard data that are needed to study ocean circulation are vertical profiles of temperature and salinity, from which we can deduce the density of seawater. these are collected with ctd (conductivity-temperature-depth) sensors that are usually deployed on research vessels or, more recently, on autonomous argo profilers. the use of conventional research vessels to collect these data is very expensive, and does not guarantee access to areas where sea ice is found at the surface of the ocean during the winter months. a recent alternative is the use of autonomous argo floats. however, this technology is not easy to use in glaciated areas.in this context, the collection of hydrographic profiles from ctds mounted on marine mammals is very advantageous. the choice of species, gender or age can be done to selectively obtain data in particularly under-sampled areas such as under the sea ice or on continental shelves. among marine mammals, elephant seals are particularly interesting. indeed, they have the particularity to continuously dive to great depths (590 ± 200 m, with maxima around 2000 m) for long durations (average length of a dive 25 ± 15 min, maximum 80 min). a conductivity-temperature-depth satellite relay data logger (ctd-srdls) has been developed in the early 2000s to sample temperature and salinity vertical profiles during marine mammal dives (boehme et al. 2009, fedak 2013). the ctd-srdl is attached to the seal on land, then it records hydrographic profiles during its foraging trips, sending the data by satellite argos whenever the seal goes back to the surface.while the principle intent of seal instrumentation was to improve understanding of seal foraging strategies (biuw et al., 2007), it has also provided as a by-product a viable and cost-effective method of sampling hydrographic properties in many regions of the southern ocean (charrassin et al., 2008; roquet et al., 2013).

  6. In situ data collection from OpenMetBuoys-v2021 (OMBs) deployed in the...

    • adc.met.no
    Updated Sep 4, 2024
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    Jean Rabault; Takehiko Nose; Catherine Taelman; Mario Hoppmann; Gaute Hope; Øyvind Breivik; Martina Idzanovic; Knut-Frode Dagestad; Johannes Lohse; Malin Johansson; Sveinung Olsen; Torbjørn Eltoft; Atle Jensen; Yngve Kristoffersen; Joey Voermans; Denis Demchev; Truls Karlsen; Leif Eriksson (2024). In situ data collection from OpenMetBuoys-v2021 (OMBs) deployed in the marginal ice zone around Svalbard in 2022-2023 [Dataset]. https://adc.met.no/dataset/6f66a9ee-dc89-5139-8203-37432b853eb4
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    Dataset updated
    Sep 4, 2024
    Dataset provided by
    Norwegian Meteorological Institutehttp://met.no/
    University of Bergen
    University of Oslo
    Alfred Wigener Institute
    UiT The Arctic University of Norway
    University of Melbourne
    The University of Tokyo
    Chalmers University of Technology
    Authors
    Jean Rabault; Takehiko Nose; Catherine Taelman; Mario Hoppmann; Gaute Hope; Øyvind Breivik; Martina Idzanovic; Knut-Frode Dagestad; Johannes Lohse; Malin Johansson; Sveinung Olsen; Torbjørn Eltoft; Atle Jensen; Yngve Kristoffersen; Joey Voermans; Denis Demchev; Truls Karlsen; Leif Eriksson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 22, 2022 - Nov 11, 2023
    Area covered
    Svalbard,
    Description

    This collection contains OpenMetBuoys-v2021 (OMB) in-situ deployment datasets collected around Svalbard in 2022-2023, focusing on the marginal ice zone and open ocean immediately outside of the sea ice. The buoys collect data about drift in the ocean and on the ice, and wave characteristics. A total of 8 deployments, and 79 OMBs, are released in this collection. For more information, see https://github.com/jerabaul29/2024_OpenMetBuoy_data_release_MarginalIceZone_SeaIce_OpenOcean.

  7. ASIA-AQ DC-8 In-Situ Aerosol Data

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jun 28, 2025
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    NASA/LARC/SD/ASDC (2025). ASIA-AQ DC-8 In-Situ Aerosol Data [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/asia-aq-dc-8-in-situ-aerosol-data
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Area covered
    Asia
    Description

    ASIA-AQ_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Airborne and Satellite Investigation of Asian Air Quality (ASIA-AQ) campaign. Data from the Transmission Electron Microscopy (TEM), Aerosol Mass Spectrometer (AMS), Single Particle Soot Photometer (DMT SP2), Ultra-High Sensitivity Aerosol Spectrometer (DMT UHSAS), Scanning Mobility Particle Sizer (SMPS), and the TSI-3563 Nephelometer are featured in this collection. Data collection for this product is complete.The ASIA-AQ campaign was an international cooperative field study designed to address local air quality challenges. Conducted from January-March 2024, ASIA-AQ deployed multiple aircraft to collect in situ and remote sensing measurements, along with numerous ground-based observations and modeling assessments. Data was collected over four countries including, the Philippines, Taiwan, South Korea and Thailand and flights were conducted in full partnership with local scientists and environmental agencies responsible for air quality monitoring and assessment. One of the primary goals of ASIA-AQ was to contribute improving integration of satellite observations with existing air quality ground monitoring and modeling efforts across Asia. Air quality observations from satellites are evolving with new capabilities from South Korea’s Geostationary Environment Monitoring Spectrometer (GEMS), which conducts hourly measurements to provide a new view of air quality conditions from space that complements and depends upon ground-based monitoring efforts of countries in its field of view. ASIA-AQ science goals focused on satellite validation and interpretation, emissions quantification and verification, model evaluation, aerosol chemistry, and ozone chemistry.

  8. ASIA-AQ DC-8 In-Situ Meteorology and Navigation Data

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Jul 4, 2025
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    NASA/LARC/SD/ASDC (2025). ASIA-AQ DC-8 In-Situ Meteorology and Navigation Data [Dataset]. https://catalog.data.gov/dataset/asia-aq-dc-8-in-situ-meteorology-and-navigation-data
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    Dataset updated
    Jul 4, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Area covered
    Asia
    Description

    ASIA-AQ_MetNav_AircraftInSitu_DC8_Data is the in-situ meteorology and navigation data collected onboard the DC-8 aircraft during the Airborne and Satellite Investigation of Asian Air Quality (ASIA-AQ) campaign. Data from the Diode Laser Hygrometer (DLH) and the Meteorological Measurement System (MMS) are featured in this collection. Data collection for this product is complete.The ASIA-AQ campaign was an international cooperative field study designed to address local air quality challenges. Conducted from January-March 2024, ASIA-AQ deployed multiple aircraft to collect in situ and remote sensing measurements, along with numerous ground-based observations and modeling assessments. Data was collected over four countries including, the Philippines, Taiwan, South Korea and Thailand and flights were conducted in full partnership with local scientists and environmental agencies responsible for air quality monitoring and assessment. One of the primary goals of ASIA-AQ was to contribute improving integration of satellite observations with existing air quality ground monitoring and modeling efforts across Asia. Air quality observations from satellites are evolving with new capabilities from South Korea’s Geostationary Environment Monitoring Spectrometer (GEMS), which conducts hourly measurements to provide a new view of air quality conditions from space that complements and depends upon ground-based monitoring efforts of countries in its field of view. ASIA-AQ science goals focused on satellite validation and interpretation, emissions quantification and verification, model evaluation, aerosol chemistry, and ozone chemistry.

  9. Data from: In Situ Soil Moisture and Thaw Depth Measurements Coincident with...

    • osti.gov
    Updated Sep 22, 2022
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    Bolton, Robert; Dann, Julian; Jin, Xiaoying; Lathrop, Emma; Nutt, Mara; Wilson, Cathy (2022). In Situ Soil Moisture and Thaw Depth Measurements Coincident with Airborne SAR Data Collections, Seward Peninsula, Alaska, 2019 [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1856042
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    Dataset updated
    Sep 22, 2022
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Department of Energy Biological and Environmental Research Program
    Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
    66.952,-159.19|64.03,-159.19|64.03,-168.14|66.952,-168.14|66.952,-159.19
    Authors
    Bolton, Robert; Dann, Julian; Jin, Xiaoying; Lathrop, Emma; Nutt, Mara; Wilson, Cathy
    Area covered
    Seward Peninsula, Alaska
    Description

    The in-situ soil moisture and thaw depth measurements provided in this dataset were collected coincident with airborne overflights of L- and P-band SAR instruments at the Teller and Kougarok NGEE Arctic study sites on the Seward Peninsula, Alaska. Field measurements and flights were conducted in August 2019 as a collaboration between the NASA ABoVE Project's Airborne SAR Campaign and the NGEE Arctic Project. ABoVE protocols for establishing field measurement plots were followed. NGEE Arctic plots for the ground-based measurements are located at existing study sites where SAR data would also add value to current monitoring and characterization efforts of the NGEE Team. The ground-based data will be used by ABoVE to analyze, calibrate and validate the remote sensing products. This dataset follows the format and collection guidelines of the collaboration effort in 2017. Contained in this dataset are *.csv (including data dictionaries), .zip, .kml, .jpgs, .py, and .pdf files.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort (with some overlap with Covid-19 pandemic) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. Themore » NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).« less

  10. Agricultural Monitoring in Vojvodina, Serbia

    • zenodo.org
    • data.niaid.nih.gov
    txt
    Updated Jul 19, 2024
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    Vladimir Mrkajić; Nicin Nemanja; Srdjan Vukasović; Matej Batič; Vladimir Mrkajić; Nicin Nemanja; Srdjan Vukasović; Matej Batič (2024). Agricultural Monitoring in Vojvodina, Serbia [Dataset]. http://doi.org/10.5281/zenodo.3959105
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    txtAvailable download formats
    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Vladimir Mrkajić; Nicin Nemanja; Srdjan Vukasović; Matej Batič; Vladimir Mrkajić; Nicin Nemanja; Srdjan Vukasović; Matej Batič
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Vojvodina, Serbia
    Description

    This dataset had been collected during the LandSense agricultural demonstration pilot, which focuses on leveraging the power of Earth Observation (EO) systems and advanced crowdsourcing techniques to deliver value added services to European farmers and public authorities in the agricultural sector. Pilot activities, led by INOSENS, were localized in Vojvodina province of Serbia and were implemented over two phases. During the Phase 1 campaign (Nov, 2017-Sep, 2018), agricultural high school students and master students from University of Novi Sad were actively involved in data collection. During the Phase 2 campaign (Feb-Oct, 2019), a group of individual farmers participated in the collecting of agricultural in-situ data. The mobile and web-based CropSupport application, developed by INOSENS was the primary tool for in-situ data collection related to crop type and farm management. Besides the functionalities for intuitive in-situ data collection, the application allows users to access (free of charge) information related to their land, such as weather forecast for the micro locations of their parcels, the LandSense Change Detection Service as well as processed satellite images that contain information on potential stress of crops due to exposure to pests, plant diseases, water scarcity or nutrient elements in the soil (e.g. NDVI, vegetation and moisture indexes). The datasets show the delineated parcels and crowdsourced in-situ photographs for crop type classification.

    Contributors:
    1. High School students from (i) Srednja poljoprivredno-prehrambena škola “Stevan Petrović Brile”, Ruma; (ii) Poljoprivredna škola Bač, Bač.
    2. Master Students from the University of Novi Sad
    3. Farmers (“Club of farmers Selenca”, “Center for Organic production Selenca”and individual farmers from following villages: Srbobran, Zabalj)

    Associated files: CropSupport Attributes.csv, CropSupport images.csv, CropSupport images.geojson, CropSupport parcels.csv, CropSupport parcels.geojson

    This dataset is licensed under a Creative Commons Attribution 4.0 International. It is attributed to the LandSense Citizen Observatory, INOSENS, and SINERGISE.

    This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 689812.

  11. d

    Turbidity data collected by five in situ sensors at USGS site 02492620 Pearl...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Turbidity data collected by five in situ sensors at USGS site 02492620 Pearl River at NSTL station, MS from November 2017 to January 2018. [Dataset]. https://catalog.data.gov/dataset/turbidity-data-collected-by-five-in-situ-sensors-at-usgs-site-02492620-pearl-river-at-nstl
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    Contains a collection of in situ data from five commercially available turbidity sensors that were colocated at USGS site 02492620 Pearl River at NSTL station, MS from November 2017 to January 2018

  12. Data from: LISTOS Surface Mobile Platform In-Situ Data

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jun 28, 2025
    + more versions
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    NASA/LARC/SD/ASDC (2025). LISTOS Surface Mobile Platform In-Situ Data [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/listos-surface-mobile-platform-in-situ-data
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    LISTOS_SurfaceMobile_InSitu_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) surface mobile data collected via mobile platforms during the LISTOS field campaign. This product is a result of a joint effort across multiple agencies, including NASA, NOAA, the EPA Northeast States for Coordinated Air Use Management (NESCAUM), Maine Department of Environmental Protection, New Jersey Department of Environmental Protection, New York State Department of Environmental Conservation and several research groups at universities. This product features data collected by the Connecticut Department of Energy and Environmental Protection (CT DEEP) special purpose mobile monitor located on the Park City ferry on Long Island Sound and other mobile platforms. Data collection is complete.The New York City (NYC) metropolitan area (comprised of portions of New Jersey, New York, and Connecticut in and around NYC) is home to over 20 million people, but also millions of people living downwind in neighboring states. This area continues to persistently have challenges meeting past and recently revised federal health-based air quality standards for ground-level ozone, which impacts the health and well-being of residents living in the area. A unique feature of this chronic ozone problem is the pollution transported in a northeast direction out of NYC over Long Island Sound. The relatively cool waters of Long Island Sound confine the pollutants in a shallow and stable marine boundary layer. Afternoon heating over coastal land creates a sea breeze that carries the air pollution inland from the confined marine layer, resulting in high ozone concentrations in Connecticut and, at times, farther east into Rhode Island and Massachusetts. To investigate the evolving nature of ozone formation and transport in the NYC region and downwind, Northeast States for Coordinated Air Use Management (NESCAUM) launched the Long Island Sound Tropospheric Ozone Study (LISTOS). LISTOS was a multi-agency collaborative study focusing on Long Island Sound and the surrounding coastlines that continually suffer from poor air quality exacerbated by land/water circulation. The primary measurement observations took place between June-September 2018 and include in-situ and remote sensing instrumentation that were integrated aboard three aircraft, a network of ground sites, mobile vehicles, boat measurements, and ozonesondes. The goal of LISTOS was to improve the understanding of ozone chemistry and sea breeze transported pollution over Long Island Sound and its coastlines. LISTOS also provided NASA the opportunity to test air quality remote sensing retrievals with the use of its airborne simulators (GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS), and Geostationary Trace gas and Aerosol Sensory Optimization (GeoTASO)) for the preparation of the Tropospheric Emissions; Monitoring of Pollution (TEMPO) observations for monitoring air quality from space. LISTOS also helped collaborators in the validation of Tropospheric Monitoring Instrument (TROPOMI) science products, with use of airborne- and ground-based measurements of ozone, NO2, and HCHO.

  13. Data from: NAAMES C-130 Cloud In Situ Data, Version 1

    • s.cnmilf.com
    • data.nasa.gov
    • +3more
    Updated Jun 28, 2025
    + more versions
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    NASA/LARC/SD/ASDC (2025). NAAMES C-130 Cloud In Situ Data, Version 1 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/naames-c-130-cloud-in-situ-data-version-1-0126b
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    NAAMES_Cloud_AircraftInSitu_Data are in situ cloud measurements collected onboard the C-130 aircraft during the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES). These measurements were collected from November 4, 2015 – November 29, 2015, May 11, 2016 – June 5, 2016 and August 30, 2017-September 22, 2017 over the North Atlantic Ocean. The primary objective of NAAMES was to resolve key processes controlling ocean system function, their influences on atmospheric aerosols and clouds and their implications for climate. The airborne products link local-scale processes and properties to the larger scale continuous satellite record. Data collection for this product is complete. The NASA North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) project was the first NASA Earth Venture – Suborbital mission focused on studying the coupled ocean ecosystem and atmosphere. NAAMES utilizes a combination of ship-based, airborne, autonomous sensor, and remote sensing measurements that directly link ocean ecosystem processes, emissions of ocean-generated aerosols and precursor gases, and subsequent atmospheric evolution and processing. Four deployments coincide with the seasonal cycle of phytoplankton in the North Atlantic Ocean: the Winter Transition (November 5 – December 2, 2015), the Bloom Climax (May 11 – June 5, 2016), the Deceleration Phase (August 30 – September 24, 2017), and the Acceleration Phase (March 20 – April 13, 2018). Ship-based measurements were conducted from the Woods Hole Oceanographic Institution Research Vessel Atlantis in the middle of the North Atlantic Ocean, while airborne measurements were conducted on a NASA Wallops Flight Facility C-130 Hercules that was based at St. John's International Airport, Newfoundland, Canada. Data products in the ASDC archive focus on the NAAMES atmospheric aerosol, cloud, and trace gas data from the ship and aircraft, as well as related satellite and model data subsets. While a few ocean-remote sensing data products (e.g., from the high-spectral resolution lidar) are also included in the ASDC archive, most ocean data products reside in a companion archive at SeaBass.

  14. g

    ASIA-AQ DC-8 In-Situ Meteorology and Navigation Data | gimi9.com

    • gimi9.com
    Updated Jul 1, 2025
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    (2025). ASIA-AQ DC-8 In-Situ Meteorology and Navigation Data | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_asia-aq-dc-8-in-situ-meteorology-and-navigation-data/
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    Dataset updated
    Jul 1, 2025
    Area covered
    Asia
    Description

    ASIA-AQ_MetNav_AircraftInSitu_DC8_Data is the in-situ meteorology and navigation data collected onboard the DC-8 aircraft during the Airborne and Satellite Investigation of Asian Air Quality (ASIA-AQ) campaign. Data from the Diode Laser Hygrometer (DLH) and the Meteorological Measurement System (MMS) are featured in this collection. Data collection for this product is complete.The ASIA-AQ campaign was an international cooperative field study designed to address local air quality challenges. Conducted from January-March 2024, ASIA-AQ deployed multiple aircraft to collect in situ and remote sensing measurements, along with numerous ground-based observations and modeling assessments. Data was collected over four countries including, the Philippines, Taiwan, South Korea and Thailand and flights were conducted in full partnership with local scientists and environmental agencies responsible for air quality monitoring and assessment. One of the primary goals of ASIA-AQ was to contribute improving integration of satellite observations with existing air quality ground monitoring and modeling efforts across Asia. Air quality observations from satellites are evolving with new capabilities from South Korea’s Geostationary Environment Monitoring Spectrometer (GEMS), which conducts hourly measurements to provide a new view of air quality conditions from space that complements and depends upon ground-based monitoring efforts of countries in its field of view. ASIA-AQ science goals focused on satellite validation and interpretation, emissions quantification and verification, model evaluation, aerosol chemistry, and ozone chemistry.

  15. g

    Data from: TRACE-A In Situ DC-8 Meteorology and Navigation Data

    • gimi9.com
    • cmr.earthdata.nasa.gov
    • +3more
    Updated Jun 25, 2025
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    (2025). TRACE-A In Situ DC-8 Meteorology and Navigation Data [Dataset]. https://gimi9.com/dataset/data-gov_trace-a-in-situ-dc-8-meteorology-and-navigation-data-419ce/
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    Dataset updated
    Jun 25, 2025
    Description

    TRACE-A_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete.TRACE-A_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete.The TRACE-A mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October. NASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal. The NASA DC-8 aircraft and ozonesondes were utilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few instruments on the DC-8 include the Differential Absorption Lidar (DIAL), the Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified Licor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone, and ozone column. The Laser-Induced Fluorescence instrument collected measurements on NxOy in the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified Licor recorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2. Ozonesondes played a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.

  16. g

    LISTOS University of Maryland Cessna Aircraft In-Situ Data | gimi9.com

    • gimi9.com
    Updated Dec 18, 2020
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    (2020). LISTOS University of Maryland Cessna Aircraft In-Situ Data | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_listos-university-of-maryland-cessna-aircraft-in-situ-data/
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    Dataset updated
    Dec 18, 2020
    Area covered
    Maryland
    Description

    LISTOS_AircraftInSitu_UMDAircraft_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) in-situ data collected onboard the University of Maryland Cessna Aircraft during the LISTOS field campaign. This product is a result of a joint effort across multiple agencies, including NASA, NOAA, the EPA Northeast States for Coordinated Air Use Management (NESCAUM), Maine Department of Environmental Protection, New Jersey Department of Environmental Protection, New York State Department of Environmental Conservation and several research groups at universities. Data collection is complete.The New York City (NYC) metropolitan area (comprised of portions of New Jersey, New York, and Connecticut in and around NYC) is home to over 20 million people, but also millions of people living downwind in neighboring states. This area continues to persistently have challenges meeting past and recently revised federal health-based air quality standards for ground-level ozone, which impacts the health and well-being of residents living in the area. A unique feature of this chronic ozone problem is the pollution transported in a northeast direction out of NYC over Long Island Sound. The relatively cool waters of Long Island Sound confine the pollutants in a shallow and stable marine boundary layer. Afternoon heating over coastal land creates a sea breeze that carries the air pollution inland from the confined marine layer, resulting in high ozone concentrations in Connecticut and, at times, farther east into Rhode Island and Massachusetts. To investigate the evolving nature of ozone formation and transport in the NYC region and downwind, Northeast States for Coordinated Air Use Management (NESCAUM) launched the Long Island Sound Tropospheric Ozone Study (LISTOS). LISTOS was a multi-agency collaborative study focusing on Long Island Sound and the surrounding coastlines that continually suffer from poor air quality exacerbated by land/water circulation. The primary measurement observations took place between June-September 2018 and include in-situ and remote sensing instrumentation that were integrated aboard three aircraft, a network of ground sites, mobile vehicles, boat measurements, and ozonesondes. The goal of LISTOS was to improve the understanding of ozone chemistry and sea breeze transported pollution over Long Island Sound and its coastlines. LISTOS also provided NASA the opportunity to test air quality remote sensing retrievals with the use of its airborne simulators (GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS), and Geostationary Trace gas and Aerosol Sensory Optimization (GeoTASO)) for the preparation of the Tropospheric Emissions; Monitoring of Pollution (TEMPO) observations for monitoring air quality from space. LISTOS also helped collaborators in the validation of Tropospheric Monitoring Instrument (TROPOMI) science products, with use of airborne- and ground-based measurements of ozone, NO2, and HCHO.

  17. g

    LISTOS Stony Brook Aircraft In-Situ Data | gimi9.com

    • gimi9.com
    Updated Dec 18, 2020
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    (2020). LISTOS Stony Brook Aircraft In-Situ Data | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_listos-stony-brook-aircraft-in-situ-data/
    Explore at:
    Dataset updated
    Dec 18, 2020
    Description

    LISTOS_AircraftInSitu_StonyBrookAircraft_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) in-situ data collected onboard the Stony Brook Aircraft during the LISTOS field campaign. This product is a result of a joint effort across multiple agencies, including NASA, NOAA, the EPA Northeast States for Coordinated Air Use Management (NESCAUM), Maine Department of Environmental Protection, New Jersey Department of Environmental Protection, New York State Department of Environmental Conservation and several research groups at universities. Data collection is complete.The New York City (NYC) metropolitan area (comprised of portions of New Jersey, New York, and Connecticut in and around NYC) is home to over 20 million people, but also millions of people living downwind in neighboring states. This area continues to persistently have challenges meeting past and recently revised federal health-based air quality standards for ground-level ozone, which impacts the health and well-being of residents living in the area. A unique feature of this chronic ozone problem is the pollution transported in a northeast direction out of NYC over Long Island Sound. The relatively cool waters of Long Island Sound confine the pollutants in a shallow and stable marine boundary layer. Afternoon heating over coastal land creates a sea breeze that carries the air pollution inland from the confined marine layer, resulting in high ozone concentrations in Connecticut and, at times, farther east into Rhode Island and Massachusetts. To investigate the evolving nature of ozone formation and transport in the NYC region and downwind, Northeast States for Coordinated Air Use Management (NESCAUM) launched the Long Island Sound Tropospheric Ozone Study (LISTOS). LISTOS was a multi-agency collaborative study focusing on Long Island Sound and the surrounding coastlines that continually suffer from poor air quality exacerbated by land/water circulation. The primary measurement observations took place between June-September 2018 and include in-situ and remote sensing instrumentation that were integrated aboard three aircraft, a network of ground sites, mobile vehicles, boat measurements, and ozonesondes. The goal of LISTOS was to improve the understanding of ozone chemistry and sea breeze transported pollution over Long Island Sound and its coastlines. LISTOS also provided NASA the opportunity to test air quality remote sensing retrievals with the use of its airborne simulators (GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS), and Geostationary Trace gas and Aerosol Sensory Optimization (GeoTASO)) for the preparation of the Tropospheric Emissions; Monitoring of Pollution (TEMPO) observations for monitoring air quality from space. LISTOS also helped collaborators in the validation of Tropospheric Monitoring Instrument (TROPOMI) science products, with use of airborne- and ground-based measurements of ozone, NO2, and HCHO.

  18. g

    TRACE-P In Situ DC-8 Meteorology and Navigation Data

    • gimi9.com
    • s.cnmilf.com
    • +3more
    Updated May 12, 2024
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    (2024). TRACE-P In Situ DC-8 Meteorology and Navigation Data [Dataset]. https://gimi9.com/dataset/data-gov_trace-p-in-situ-dc-8-meteorology-and-navigation-data-524d4/
    Explore at:
    Dataset updated
    May 12, 2024
    Description

    TRACE-P_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Diode Laser Hygrometer (DLH) instrument is featured in this collection. Data collection for this product is complete.The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.

  19. Data from: TRACE-P DC-8 Aircraft In-situ Cloud Data

    • catalog.data.gov
    • gimi9.com
    • +3more
    Updated Jul 10, 2025
    + more versions
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    NASA/LARC/SD/ASDC (2025). TRACE-P DC-8 Aircraft In-situ Cloud Data [Dataset]. https://catalog.data.gov/dataset/trace-p-dc-8-aircraft-in-situ-cloud-data-db500
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    TRACE-P_Cloud_AircraftInSitu_DC8_Data is the in-situ cloud data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete.The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia.  In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.

  20. ASIA-AQ DC-8 In-Situ Cloud Data

    • catalog.data.gov
    • data.nasa.gov
    • +1more
    Updated Jul 11, 2025
    + more versions
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    NASA/LARC/SD/ASDC (2025). ASIA-AQ DC-8 In-Situ Cloud Data [Dataset]. https://catalog.data.gov/dataset/asia-aq-dc-8-in-situ-cloud-data
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    Dataset updated
    Jul 11, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Area covered
    Asia
    Description

    ASIA-AQ_Cloud_AircraftInSitu_DC8_Data is the in-situ cloud data collected onboard the DC-8 aircraft during the Airborne and Satellite Investigation of Asian Air Quality (ASIA-AQ) campaign. Data from the Condensation Nuclei Counter (CCN), Cloud Droplet Probe (CDP), Cloud Particle Spectrometer with Polarized Detection (CPSPD), and Cloud Particle Counter (CPC) are featured in this collection. Data collection for this product is complete.The ASIA-AQ campaign was an international cooperative field study designed to address local air quality challenges. Conducted from January-March 2024, ASIA-AQ deployed multiple aircraft to collect in situ and remote sensing measurements, along with numerous ground-based observations and modeling assessments. Data was collected over four countries including, the Philippines, Taiwan, South Korea and Thailand and flights were conducted in full partnership with local scientists and environmental agencies responsible for air quality monitoring and assessment. One of the primary goals of ASIA-AQ was to contribute improving integration of satellite observations with existing air quality ground monitoring and modeling efforts across Asia. Air quality observations from satellites are evolving with new capabilities from South Korea’s Geostationary Environment Monitoring Spectrometer (GEMS), which conducts hourly measurements to provide a new view of air quality conditions from space that complements and depends upon ground-based monitoring efforts of countries in its field of view. ASIA-AQ science goals focused on satellite validation and interpretation, emissions quantification and verification, model evaluation, aerosol chemistry, and ozone chemistry.

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Email
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Close
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NASA/LARC/SD/ASDC (2025). LISTOS Stony Brook Aircraft In-Situ Data [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/listos-stony-brook-aircraft-in-situ-data
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Data from: LISTOS Stony Brook Aircraft In-Situ Data

Related Article
Explore at:
Dataset updated
Jun 28, 2025
Dataset provided by
NASAhttp://nasa.gov/
Description

LISTOS_AircraftInSitu_StonyBrookAircraft_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) in-situ data collected onboard the Stony Brook Aircraft during the LISTOS field campaign. This product is a result of a joint effort across multiple agencies, including NASA, NOAA, the EPA Northeast States for Coordinated Air Use Management (NESCAUM), Maine Department of Environmental Protection, New Jersey Department of Environmental Protection, New York State Department of Environmental Conservation and several research groups at universities. Data collection is complete.The New York City (NYC) metropolitan area (comprised of portions of New Jersey, New York, and Connecticut in and around NYC) is home to over 20 million people, but also millions of people living downwind in neighboring states. This area continues to persistently have challenges meeting past and recently revised federal health-based air quality standards for ground-level ozone, which impacts the health and well-being of residents living in the area. A unique feature of this chronic ozone problem is the pollution transported in a northeast direction out of NYC over Long Island Sound. The relatively cool waters of Long Island Sound confine the pollutants in a shallow and stable marine boundary layer. Afternoon heating over coastal land creates a sea breeze that carries the air pollution inland from the confined marine layer, resulting in high ozone concentrations in Connecticut and, at times, farther east into Rhode Island and Massachusetts. To investigate the evolving nature of ozone formation and transport in the NYC region and downwind, Northeast States for Coordinated Air Use Management (NESCAUM) launched the Long Island Sound Tropospheric Ozone Study (LISTOS). LISTOS was a multi-agency collaborative study focusing on Long Island Sound and the surrounding coastlines that continually suffer from poor air quality exacerbated by land/water circulation. The primary measurement observations took place between June-September 2018 and include in-situ and remote sensing instrumentation that were integrated aboard three aircraft, a network of ground sites, mobile vehicles, boat measurements, and ozonesondes. The goal of LISTOS was to improve the understanding of ozone chemistry and sea breeze transported pollution over Long Island Sound and its coastlines. LISTOS also provided NASA the opportunity to test air quality remote sensing retrievals with the use of its airborne simulators (GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS), and Geostationary Trace gas and Aerosol Sensory Optimization (GeoTASO)) for the preparation of the Tropospheric Emissions; Monitoring of Pollution (TEMPO) observations for monitoring air quality from space. LISTOS also helped collaborators in the validation of Tropospheric Monitoring Instrument (TROPOMI) science products, with use of airborne- and ground-based measurements of ozone, NO2, and HCHO.

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