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Title: Technical note: 3-hourly temporal downscaling of monthly global terrestrial biosphere model net ecosystem exchange

Journal Article · · Biogeosciences (Online)
 [1];  [1];  [2];  [3];  [1]
  1. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  2. Northern Arizona Univ., Flagstaff, AZ (United States)
  3. Woods Hole Research Center, Falmouth, MA (United States)
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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).

Research Organization:
California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL)
Sponsoring Organization:
USDOE
OSTI ID:
1375425
Journal Information:
Biogeosciences (Online), Vol. 13, Issue 14; ISSN 1726-4189
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

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Cited By (4)

A Road Map for Improving the Treatment of Uncertainties in High‐Resolution Regional Carbon Flux Inverse Estimates journal November 2019
Seasonal Characteristics of Model Uncertainties From Biogenic Fluxes, Transport, and Large‐Scale Boundary Inflow in Atmospheric CO 2 Simulations Over North America journal December 2019
Characterizing biospheric carbon balance using CO 2 observations from the OCO-2 satellite journal January 2018
A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) journal January 2018

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