NCAR-RAL Surface Hydrometeorological Observation Network Data for LASSO-CACTI Overview Paper

Gochis, David; Lentz, Justin; Dominguez, Francina; Marcelo, Carlos

doi:10.5439/3007293

Title: NCAR-RAL Surface Hydrometeorological Observation Network Data for LASSO-CACTI Overview Paper

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Abstract

This data set contains the 15 minute resolution surface meteorology and soils data from the 15 NCAR/RAL weather stations that were operated around central Argentina during the RELAMPAGO (Remote sensing of Electrification, Lightning, And Meso-scale/micro-scale Processes with Adaptive Ground Observations) Extended Observing Period (EOP). Data providence, citation, and acknowledgement This ARM data set is a copy of v1.0 of the NCAR data set obtained in June 2024 from https://doi.org/10.26023/KW8Z-F2WX-H0Y. The citation for the original data source is: Gochis, D., et al. 2019. NCAR-RAL Surface Hydrometeorological Observation Network Data. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/KW8Z-F2WX-H0Y Accessed June 2024. In addition to the citation reference and any other acknowledgements, please acknowledge NCAR/EOL in your publications with text such as: “Data provided by NCAR/EOL under the sponsorship of the National Science Foundation. https://data.eol.ucar.edu/”

Authors:

; Lentz, Justin;

;

Publication Date:: Wed Dec 10 23:00:00 EST 2025

DOE Contract Number:: AC05-00OR22725

Research Org.:: Atmospheric Radiation Measurement User Facility

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Collaborations:: PNNL, BNL, ANL, ORNL

Subject:: air temperature; atmosphere: surface; downwelling shortwave radiation; geosphere: soil; leaf characteristics; precipitation rate; relative humidity; soil moisture; soil temperature; surface pressure; wind direction; wind speed

OSTI Identifier:: 3007293

DOI:: https://doi.org/10.5439/3007293

Citation Formats


                    Gochis, David, Lentz, Justin, Dominguez, Francina, and Marcelo, Carlos. NCAR-RAL Surface Hydrometeorological Observation Network Data for LASSO-CACTI Overview Paper.  United States: N. p., 2025. 
        Web.  doi:10.5439/3007293.

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                    Gochis, David, Lentz, Justin, Dominguez, Francina, & Marcelo, Carlos. NCAR-RAL Surface Hydrometeorological Observation Network Data for LASSO-CACTI Overview Paper.  United States.  doi:https://doi.org/10.5439/3007293

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                    Gochis, David, Lentz, Justin, Dominguez, Francina, and Marcelo, Carlos. 2025.  
"NCAR-RAL Surface Hydrometeorological Observation Network Data for LASSO-CACTI Overview Paper".  United States.  doi:https://doi.org/10.5439/3007293.  https://www.osti.gov/servlets/purl/3007293. Pub date:Wed Dec 10 23:00:00 EST 2025

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@article{osti_3007293,

  title        = {NCAR-RAL Surface Hydrometeorological Observation Network Data for LASSO-CACTI Overview Paper},

  author       = {Gochis, David and Lentz, Justin and Dominguez, Francina and Marcelo, Carlos},

  abstractNote = {This data set contains the 15 minute resolution surface meteorology and soils data from the 15 NCAR/RAL weather stations that were operated around central Argentina during the RELAMPAGO (Remote sensing of Electrification, Lightning, And Meso-scale/micro-scale Processes with Adaptive Ground Observations) Extended Observing Period (EOP). Data providence, citation, and acknowledgement This ARM data set is a copy of v1.0 of the NCAR data set obtained in June 2024 from https://doi.org/10.26023/KW8Z-F2WX-H0Y. The citation for the original data source is: Gochis, D., et al. 2019. NCAR-RAL Surface Hydrometeorological Observation Network Data. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/KW8Z-F2WX-H0Y Accessed June 2024. In addition to the citation reference and any other acknowledgements, please acknowledge NCAR/EOL in your publications with text such as: “Data provided by NCAR/EOL under the sponsorship of the National Science Foundation. https://data.eol.ucar.edu/”},

  doi          = {10.5439/3007293},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Dec 10 23:00:00 EST 2025},

  month        = {Wed Dec 10 23:00:00 EST 2025}

}

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DOI: https://doi.org/10.5439/3007293

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