CROCUS Low Cost All-in-One Weather Station AMB-001 Data Argonne National Laboratory Prairie Site

Tuftedal, Matthew; Grover, Maxwell; Isenberger, Cassandra; Couch, David; O'Brien, Joseph; Zoerner, Magdelyn; Rinke, Taylor; Collis, Scott

doi:10.15485/3006142

Title: CROCUS Low Cost All-in-One Weather Station AMB-001 Data Argonne National Laboratory Prairie Site

Dataset
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Abstract

The Ambient Weather WS-2902D (AMB) is a low cost weather station that has become very useful for filling data gaps in harder to deploy locations. These low cost weather stations collect 13 second data, which is averaged to a five minute data output available to users through an API key. The data files contain measurements for precipitation, temperature, wind chill/heat index, relative humidity, dew point, UV index, solar radiation, wind speed, wind direction, wind gust, and with an external particulate matter 2.5 (PM 2.5) sensor. Having all of these measurements in one condense system allows for fast deploying and dense network capabilities. Three of the AMB weather stations were deployed at the Argonne Testbed for Multiscale Observational Science (ATMOS), a 20-acre prairie site at Argonne National Laboratory in Lemont, Illinois. The instruments are denoted by their three digit identifier (CMS-AMB-xxx) format. The data is presented as daily NetCDF (.nc) files, each containing approximately 24 hours of observations. Files follow the naming convention of: the project (CROCUS), location (atmos), instrument name (CMS-AMB-001), data level (raw, a1), and date (year, month, day). The NetCDF format can be accessed using common scientific software such as Python using xarray, netCDF4 or ACT-DOE.

Authors:

;

Argonne National Laboratory
Texas Tech University
Central Michigan University
Florida State University

Publication Date:: Tue Dec 31 23:00:00 EST 2024

DOE Contract Number:: AC02-05CH11231

Research Org.:: Community Research on Climate and Urban Science Urban Integrated Field Laboratory (CROCUS UIFL)

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > ATMOSPHERE > AEROSOLS > PARTICULATE MATTER; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > SOLAR RADIATION; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > ATMOSPHERIC TEMPERATURE INDICES > HEAT INDEX; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > ATMOSPHERIC TEMPERATURE INDICES > WIND CHILL INDEX; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > DEW POINT TEMPERATURE; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > RELATIVE HUMIDITY; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND DIRECTION; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED; EARTH SCIENCE > ATMOSPHERE > PRECIPITATION; EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT; EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT > 24 HOUR PRECIPITATION AMOUNT; EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT > HOURLY PRECIPITATION AMOUNT; Low Cost Weather Station; UV Index

OSTI Identifier:: 3006142

DOI:: https://doi.org/10.15485/3006142

Citation Formats


                    Tuftedal, Matthew, Grover, Maxwell, Isenberger, Cassandra, Couch, David, O'Brien, Joseph, Zoerner, Magdelyn, Rinke, Taylor, and Collis, Scott. CROCUS Low Cost All-in-One Weather Station AMB-001 Data Argonne National Laboratory Prairie Site.  United States: N. p., 2024. 
        Web.  doi:10.15485/3006142.

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                    Tuftedal, Matthew, Grover, Maxwell, Isenberger, Cassandra, Couch, David, O'Brien, Joseph, Zoerner, Magdelyn, Rinke, Taylor, & Collis, Scott. CROCUS Low Cost All-in-One Weather Station AMB-001 Data Argonne National Laboratory Prairie Site.  United States.  doi:https://doi.org/10.15485/3006142

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                    Tuftedal, Matthew, Grover, Maxwell, Isenberger, Cassandra, Couch, David, O'Brien, Joseph, Zoerner, Magdelyn, Rinke, Taylor, and Collis, Scott. 2024.  
"CROCUS Low Cost All-in-One Weather Station AMB-001 Data Argonne National Laboratory Prairie Site".  United States.  doi:https://doi.org/10.15485/3006142.  https://www.osti.gov/servlets/purl/3006142. Pub date:Tue Dec 31 23:00:00 EST 2024

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@article{osti_3006142,

  title        = {CROCUS Low Cost All-in-One Weather Station AMB-001 Data Argonne National Laboratory Prairie Site},

  author       = {Tuftedal, Matthew and Grover, Maxwell and Isenberger, Cassandra and Couch, David and O'Brien, Joseph and Zoerner, Magdelyn and Rinke, Taylor and Collis, Scott},

  abstractNote = {The Ambient Weather WS-2902D (AMB) is a low cost weather station that has become very useful for filling data gaps in harder to deploy locations. These low cost weather stations collect 13 second data, which is averaged to a five minute data output available to users through an API key. The data files contain measurements for precipitation, temperature, wind chill/heat index, relative humidity, dew point, UV index, solar radiation, wind speed, wind direction, wind gust, and with an external particulate matter 2.5 (PM 2.5) sensor. Having all of these measurements in one condense system allows for fast deploying and dense network capabilities. Three of the AMB weather stations were deployed at the Argonne Testbed for Multiscale Observational Science (ATMOS), a 20-acre prairie site at Argonne National Laboratory in Lemont, Illinois. The instruments are denoted by their three digit identifier (CMS-AMB-xxx) format. The data is presented as daily NetCDF (.nc) files, each containing approximately 24 hours of observations. Files follow the naming convention of: the project (CROCUS), location (atmos), instrument name (CMS-AMB-001), data level (raw, a1), and date (year, month, day). The NetCDF format can be accessed using common scientific software such as Python using xarray, netCDF4 or ACT-DOE.},

  doi          = {10.15485/3006142},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Dec 31 23:00:00 EST 2024},

  month        = {Tue Dec 31 23:00:00 EST 2024}

}

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DOI: https://doi.org/10.15485/3006142

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