Technical note: 3-hourly temporal downscaling of monthly global terrestrial biosphere model net ecosystem exchange
Abstract
Here, the land surface provides a boundary condition to atmospheric forward and flux inversion models. These models require prior estimates of CO2 fluxes at relatively high temporal resolutions (e.g., 3-hourly) because of the high frequency of atmospheric mixing and wind heterogeneity. However, land surface model CO2 fluxes are often provided at monthly time steps, typically because the land surface modeling community focuses more on time steps associated with plant phenology (e.g., seasonal) than on sub-daily phenomena. Here, we describe a new dataset created from 15 global land surface models and 4 ensemble products in the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP), temporally downscaled from monthly to 3-hourly output. We provide 3-hourly output for each individual model over 7 years (2004–2010), as well as an ensemble mean, a weighted ensemble mean, and the multi-model standard deviation. Output is provided in three different spatial resolutions for user preferences: 0.5° × 0.5°, 2.0° × 2.5°, and 4.0° × 5.0° (latitude × longitude).
- Authors:
-
- California Inst. of Technology (CalTech), Pasadena, CA (United States)
- Northern Arizona Univ., Flagstaff, AZ (United States)
- Woods Hole Research Center, Falmouth, MA (United States)
- Publication Date:
- Research Org.:
- California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1375425
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Biogeosciences (Online)
- Additional Journal Information:
- Journal Name: Biogeosciences (Online); Journal Volume: 13; Journal Issue: 14; Journal ID: ISSN 1726-4189
- Publisher:
- European Geosciences Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES; 54 ENVIRONMENTAL SCIENCES
Citation Formats
Fisher, Joshua B., Sikka, Munish, Huntzinger, Deborah N., Schwalm, Christopher, and Liu, Junjie. Technical note: 3-hourly temporal downscaling of monthly global terrestrial biosphere model net ecosystem exchange. United States: N. p., 2016.
Web. doi:10.5194/bg-13-4271-2016.
Fisher, Joshua B., Sikka, Munish, Huntzinger, Deborah N., Schwalm, Christopher, & Liu, Junjie. Technical note: 3-hourly temporal downscaling of monthly global terrestrial biosphere model net ecosystem exchange. United States. https://doi.org/10.5194/bg-13-4271-2016
Fisher, Joshua B., Sikka, Munish, Huntzinger, Deborah N., Schwalm, Christopher, and Liu, Junjie. Fri .
"Technical note: 3-hourly temporal downscaling of monthly global terrestrial biosphere model net ecosystem exchange". United States. https://doi.org/10.5194/bg-13-4271-2016. https://www.osti.gov/servlets/purl/1375425.
@article{osti_1375425,
title = {Technical note: 3-hourly temporal downscaling of monthly global terrestrial biosphere model net ecosystem exchange},
author = {Fisher, Joshua B. and Sikka, Munish and Huntzinger, Deborah N. and Schwalm, Christopher and Liu, Junjie},
abstractNote = {Here, the land surface provides a boundary condition to atmospheric forward and flux inversion models. These models require prior estimates of CO2 fluxes at relatively high temporal resolutions (e.g., 3-hourly) because of the high frequency of atmospheric mixing and wind heterogeneity. However, land surface model CO2 fluxes are often provided at monthly time steps, typically because the land surface modeling community focuses more on time steps associated with plant phenology (e.g., seasonal) than on sub-daily phenomena. Here, we describe a new dataset created from 15 global land surface models and 4 ensemble products in the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP), temporally downscaled from monthly to 3-hourly output. We provide 3-hourly output for each individual model over 7 years (2004–2010), as well as an ensemble mean, a weighted ensemble mean, and the multi-model standard deviation. Output is provided in three different spatial resolutions for user preferences: 0.5° × 0.5°, 2.0° × 2.5°, and 4.0° × 5.0° (latitude × longitude).},
doi = {10.5194/bg-13-4271-2016},
journal = {Biogeosciences (Online)},
number = 14,
volume = 13,
place = {United States},
year = {Fri Jul 29 00:00:00 EDT 2016},
month = {Fri Jul 29 00:00:00 EDT 2016}
}
Web of Science
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