---
res:
  bibo_abstract:
  - Ecosystem models often perform poorly in reproducing interannual variability in
    carbon and water fluxes, resulting in considerable uncertainty when estimating
    the land‐carbon sink. While many aggregated variables (growing season length,
    seasonal precipitation, or temperature) have been suggested as predictors for
    interannual variability in carbon fluxes, their explanatory power is limited and
    uncertainties remain as to their relative contributions. Recent results show that
    the annual count of hours where evapotranspiration (ET) is larger than its 95th
    percentile is strongly correlated with the annual variability of ET and gross
    primary production (GPP) in an ecosystem model. This suggests that the occurrence
    of favorable conditions has a strong influence on the annual carbon budget. Here
    we analyzed data from eight forest sites of the AmeriFlux network with at least
    7 years of continuous measurements. We show that for ET and the carbon fluxes
    GPP, ecosystem respiration (RE), and net ecosystem production, counting the “most
    active hours/days” (i.e., hours/days when the flux exceeds a high percentile)
    correlates well with the respective annual sums, with correlation coefficients
    generally larger than 0.8. Phenological transitions have much weaker explanatory
    power. By exploiting the relationship between most active hours and interannual
    variability, we classify hours as most active or less active and largely explain
    interannual variability in ecosystem fluxes, particularly for GPP and RE. Our
    results suggest that a better understanding and modeling of the occurrence of
    large values in high‐frequency ecosystem fluxes will result in a better understanding
    of interannual variability of these fluxes.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Jakob
      foaf_name: Zscheischler, Jakob
      foaf_surname: Zscheischler
  - foaf_Person:
      foaf_givenName: Simone
      foaf_name: Fatichi, Simone
      foaf_surname: Fatichi
      foaf_workInfoHomepage: http://www.librecat.org/personId=cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  - foaf_Person:
      foaf_givenName: Sebastian
      foaf_name: Wolf, Sebastian
      foaf_surname: Wolf
  - foaf_Person:
      foaf_givenName: Peter D.
      foaf_name: Blanken, Peter D.
      foaf_surname: Blanken
  - foaf_Person:
      foaf_givenName: Gil
      foaf_name: Bohrer, Gil
      foaf_surname: Bohrer
  - foaf_Person:
      foaf_givenName: Kenneth
      foaf_name: Clark, Kenneth
      foaf_surname: Clark
  - foaf_Person:
      foaf_givenName: Ankur R.
      foaf_name: Desai, Ankur R.
      foaf_surname: Desai
  - foaf_Person:
      foaf_givenName: David
      foaf_name: Hollinger, David
      foaf_surname: Hollinger
  - foaf_Person:
      foaf_givenName: Trevor
      foaf_name: Keenan, Trevor
      foaf_surname: Keenan
  - foaf_Person:
      foaf_givenName: Kimberly A.
      foaf_name: Novick, Kimberly A.
      foaf_surname: Novick
  - foaf_Person:
      foaf_givenName: Sonia I.
      foaf_name: Seneviratne, Sonia I.
      foaf_surname: Seneviratne
  bibo_doi: 10.1002/2016jg003503
  bibo_issue: '8'
  bibo_volume: 121
  dct_date: 2016^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2169-8953
  - http://id.crossref.org/issn/2169-8961
  dct_language: eng
  dct_publisher: American Geophysical Union@
  dct_title: Short‐term favorable weather conditions are an important control of interannual
    variability in carbon and water fluxes@
  fabio_hasPubmedId: '27774367'
...