U.S. Department of EnergyOffice of Scientific and Technical Information
Site G - NREL ASSIST (SN10) Thermodynamic Retrievals TROPoe / Derived Data
Abstract
This dataset contains daily files with thermodynamic profiles retrieved with the optimal estimation physical retrieval TROPoe v0.12 (Turner and Löhnert 2014; Turner and Blumberg 2019; Turner and Löhnert 2021). The profiles are retrieved every 10 minutes from instantaneous observations from the NREL ASSIST-II (SN 10) infrared spectrometer. Observations are noise-filtered but not averaged in time to minimize errors due to non-uniform clouds. Additional input data in TROPoe are cloud base height (CBH), which is a combined data product that uses data from ceilometers at sites A1 and H and scanning lidars from ARM sites C1 and E37. The CBH is weighted inversely proportionally to the distance to the respective site to take into account the spatial variability of clouds (see https://github.com/StefanoWind/ASSIST_analysis/blob/main/awaken_processing/combine_cbh.py). The full pipeline for running the retrieval is available at https://github.com/StefanoWind/TROPoe_processor. Met data was not ingested. In addition to these temporally resolved input data, TROPoe requires an a priori dataset (prior) that provides mean climatological estimates of thermodynamic profiles and specifies how temperature and humidity covary with height as an input (for details see, e.g., Djalalova et al. 2022). The prior is a key component of the retrieval and provides a constraint on the ill-posed inversion problem. A monthlymore »
- Authors:
-
- NREL
- Publication Date:
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- Pacific Northwest National Laboratory
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- Subject:
- 17 WIND ENERGY
- OSTI Identifier:
- 2571989
- DOI:
- https://doi.org/10.21947/2571989
Citation Formats
Letizia, Stefano. Site G - NREL ASSIST (SN10) Thermodynamic Retrievals TROPoe / Derived Data. United States: N. p., 2025.
Web. doi:10.21947/2571989.
Letizia, Stefano. Site G - NREL ASSIST (SN10) Thermodynamic Retrievals TROPoe / Derived Data. United States. doi:https://doi.org/10.21947/2571989
Letizia, Stefano. 2025.
"Site G - NREL ASSIST (SN10) Thermodynamic Retrievals TROPoe / Derived Data". United States. doi:https://doi.org/10.21947/2571989. https://www.osti.gov/servlets/purl/2571989. Pub date:Wed Jul 16 04:00:00 UTC 2025
@article{osti_2571989,
title = {Site G - NREL ASSIST (SN10) Thermodynamic Retrievals TROPoe / Derived Data},
author = {Letizia, Stefano},
abstractNote = {This dataset contains daily files with thermodynamic profiles retrieved with the optimal estimation physical retrieval TROPoe v0.12 (Turner and Löhnert 2014; Turner and Blumberg 2019; Turner and Löhnert 2021). The profiles are retrieved every 10 minutes from instantaneous observations from the NREL ASSIST-II (SN 10) infrared spectrometer. Observations are noise-filtered but not averaged in time to minimize errors due to non-uniform clouds. Additional input data in TROPoe are cloud base height (CBH), which is a combined data product that uses data from ceilometers at sites A1 and H and scanning lidars from ARM sites C1 and E37. The CBH is weighted inversely proportionally to the distance to the respective site to take into account the spatial variability of clouds (see https://github.com/StefanoWind/ASSIST_analysis/blob/main/awaken_processing/combine_cbh.py). The full pipeline for running the retrieval is available at https://github.com/StefanoWind/TROPoe_processor. Met data was not ingested. In addition to these temporally resolved input data, TROPoe requires an a priori dataset (prior) that provides mean climatological estimates of thermodynamic profiles and specifies how temperature and humidity covary with height as an input (for details see, e.g., Djalalova et al. 2022). The prior is a key component of the retrieval and provides a constraint on the ill-posed inversion problem. A monthly prior was computed from operational radiosonde launches at ARM SGP, OK.},
doi = {10.21947/2571989},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 16 04:00:00 UTC 2025},
month = {Wed Jul 16 04:00:00 UTC 2025}
}