U.S. Department of EnergyOffice of Scientific and Technical Information
Flux Seasonality Metrics Database: A companion dataset for FLUXNET annual product
Abstract
This dataset include standardized phenological transition dates, and derived season lengths of active, dormant and transition seasons of ecosystem carbon and energy fluxes, as reported in FLUXNET. Such metrics are unique in that they characterize the seasonal dynamics of these fluxes in their own terms rather than in reference to traditional phenology indicators that mostly relate to vegetation structural characteristics. The Flux Seasonality Metrics Database (FSMD) generated 17 standardized seasonality metrics for 4 different fluxes including gross primary productivity (GPP), ecosystem respiration (RE), latent heat (LE) and sensible heat (H) reported in FLUXNET2015 Dataset for about 200 sites and 1500 site-years of data globally. Each metric is reported as an estimate and a confidence interval, which is a function of data coverage and flux variability. We anticipate that the FSMD will facilitate new model validation exercises, and stimulate new research in global change and Earth science disciplines where land-atmosphere exchange dynamics play a central role.
- Publication Date:
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem; AmeriFlux Management Project
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > AGRICULTURE > AGRICULTURAL PLANT SCIENCE; EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE; EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > FOREST PRODUCTS/COMMODITIES; EARTH SCIENCE > AGRICULTURE > PLANT COMMODITIES > VEGETABLE PRODUCTS; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > HEAT FLUX; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > BIOGEOCHEMICAL CYCLES; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PHOTOSYNTHESIS; EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS; EARTH SCIENCE > BIOSPHERE > VEGETATION > PLANT PHENOLOGY
- OSTI Identifier:
- 1602532
- DOI:
- https://doi.org/10.15485/1602532
Citation Formats
Yang, Linqing, and Noormets, Asko. Flux Seasonality Metrics Database: A companion dataset for FLUXNET annual product. United States: N. p., 2019.
Web. doi:10.15485/1602532.
Yang, Linqing, & Noormets, Asko. Flux Seasonality Metrics Database: A companion dataset for FLUXNET annual product. United States. doi:https://doi.org/10.15485/1602532
Yang, Linqing, and Noormets, Asko. 2019.
"Flux Seasonality Metrics Database: A companion dataset for FLUXNET annual product". United States. doi:https://doi.org/10.15485/1602532. https://www.osti.gov/servlets/purl/1602532. Pub date:Tue Dec 31 23:00:00 EST 2019
@article{osti_1602532,
title = {Flux Seasonality Metrics Database: A companion dataset for FLUXNET annual product},
author = {Yang, Linqing and Noormets, Asko},
abstractNote = {This dataset include standardized phenological transition dates, and derived season lengths of active, dormant and transition seasons of ecosystem carbon and energy fluxes, as reported in FLUXNET. Such metrics are unique in that they characterize the seasonal dynamics of these fluxes in their own terms rather than in reference to traditional phenology indicators that mostly relate to vegetation structural characteristics. The Flux Seasonality Metrics Database (FSMD) generated 17 standardized seasonality metrics for 4 different fluxes including gross primary productivity (GPP), ecosystem respiration (RE), latent heat (LE) and sensible heat (H) reported in FLUXNET2015 Dataset for about 200 sites and 1500 site-years of data globally. Each metric is reported as an estimate and a confidence interval, which is a function of data coverage and flux variability. We anticipate that the FSMD will facilitate new model validation exercises, and stimulate new research in global change and Earth science disciplines where land-atmosphere exchange dynamics play a central role.},
doi = {10.15485/1602532},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 23:00:00 EST 2019},
month = {Tue Dec 31 23:00:00 EST 2019}
}