CARDAMOM-FluxVal version 1.0: a FLUXNET-based validation system for CARDAMOM carbon and water flux estimates
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Published:2022-03-02
Issue:4
Volume:15
Page:1789-1802
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Yang YanORCID, Bloom A. Anthony, Ma ShuangORCID, Levine PaulORCID, Norton AlexanderORCID, Parazoo Nicholas C.ORCID, Reager John T.ORCID, Worden John, Quetin Gregory R., Smallman T. LukeORCID, Williams Mathew, Xu LiangORCID, Saatchi Sassan
Abstract
Abstract. Land–atmosphere carbon and water exchanges have large uncertainty
in terrestrial biosphere models (TBMs). Using observations to reduce TBM
structural and parametric errors and uncertainty is a critical priority for
both understanding and accurately predicting carbon and water fluxes. Recent
implementations of the Bayesian CARbon DAta–MOdel fraMework (CARDAMOM) have
yielded key insights into ecosystem carbon and water cycling. CARDAMOM
estimates parameters for an associated TBM of intermediate complexity
(Data Assimilation Linked Ecosystem Carbon – DALEC). These CARDAMOM analyses – informed by co-located C and H2O
flux observations – have exhibited considerable skill in both representing
the variability of assimilated observations and predicting withheld
observations. CARDAMOM and DALEC have been continuously developed to
accommodate new scientific challenges and an expanding variety of
observational constraints. However, so far there has been no concerted
effort to globally and systematically validate CARDAMOM performance across
individual model–data fusion configurations. Here we use the FLUXNET 2015
dataset – an ensemble of 200+ eddy covariance flux tower sites – to
formulate a concerted benchmarking framework for CARDAMOM carbon
(photosynthesis and net C exchange) and water (evapotranspiration) flux
estimates (CARDAMOM-FluxVal version 1.0). We present a concise set of skill
metrics to evaluate CARDAMOM performance against both assimilated and
withheld FLUXNET 2015 photosynthesis, net CO2 exchange, and
evapotranspiration estimates. We further demonstrate the potential for
tailored CARDAMOM evaluations by categorizing performance in terms of (i)
individual land-cover types, (ii) monthly, annual, and mean fluxes, and (iii)
length of assimilation data. The CARDAMOM benchmarking system – along with
the CARDAMOM driver files provided – can be readily repeated to support both the
intercomparison between existing CARDAMOM model configurations and the
formulation, development, and testing of new CARDAMOM model structures.
Funder
Jet Propulsion Laboratory
Publisher
Copernicus GmbH
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