A long-term (2002 to 2017) record of closed-path and open-path
eddy covariance CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; net ecosystem exchange fluxes from the
Siberian Arctic

Holl, David; Wille, Christian; Sachs, Torsten; Schreiber, Peter; Runkle, Benjamin R. K.; Beckebanze, Lutz; Langer, Moritz; Boike, Julia; Pfeiffer, Eva‐Maria; Fedorova, Irina; Bolshianov, Dimitry Y.; Grigoriev, Mikhail N.; Kutzbach, Lars

doi:10.5194/essd-2018-98

Cited by 6 publications

(11 citation statements)

References 35 publications

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“…CC BY 4.0 License. 2016), US-Atq (Oechel et al, 2014), RU-Sam (Kutzbach et al, 2002(Kutzbach et al, -2014Holl et al, 2019;Runkle et al, 2013), andCA-Gro (McCaughey, 2016).…”

Section: Point Simulation Protocolmentioning

confidence: 99%

Addressing Biases in Arctic-Boreal Carbon Cycling in the Community Land Model Version 5

Birch¹,

Schwalm²,

Natali³

et al. 2020

Preprint

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Abstract. The Arctic-boreal zone (ABZ) is experiencing amplified warming, actively changing biogeochemical cycling of vegetation and soils. The land-to-atmosphere fluxes of CO2 in the ABZ have the potential to increase in magnitude and feedback to the climate causing additional large scale warming. The ability to model and predict this vulnerability is critical to preparation for a warming world, but Earth system models have biases that may hinder understanding the rapidly changing ABZ carbon fluxes. Here we investigate circumpolar carbon cycling represented by the Community Land Model 5 (CLM5.0) with a focus on seasonal gross primary productivity (GPP) in plant functional types (PFTs). We benchmark model results using data from satellite remote sensing products and eddy covariance towers. We find consistent biases in CLM5.0 relative to observational constraints: (1) the onset of deciduous plant productivity to be late, (2) the offset of productivity to lag and remain abnormally high for all PFTs in fall, (3) a high bias of grass, shrub, and needleleaf evergreen tree productivity, and (4) an underestimation of productivity of deciduous trees. Based on these biases, we focus model development of alternate phenology, photosynthesis schemes, and carbon allocation parameters at eddy covariance tower sites. Although our improvements are focused on productivity, our final Model Recommendation results in other component CO2 fluxes, e.g. Net Ecosystem Exchange (NEE) and Terrestrial Ecosystem Respiration (TER), that are more consistent with observations. Results suggest that algorithms developed for lower latitudes and more temperate environments can be inaccurate when extrapolated to the ABZ, and that many land surface models may not accurately represent carbon cycling and its recent rapid changes in high latitude ecosystems, especially when analyzed by individual PFTs.

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“…CC BY 4.0 License. 2016), US-Atq (Oechel et al, 2014), RU-Sam (Kutzbach et al, 2002(Kutzbach et al, -2014Holl et al, 2019;Runkle et al, 2013), andCA-Gro (McCaughey, 2016).…”

Section: Point Simulation Protocolmentioning

confidence: 99%

Addressing Biases in Arctic-Boreal Carbon Cycling in the Community Land Model Version 5

Birch¹,

Schwalm²,

Natali³

et al. 2020

Preprint

Self Cite

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“…The data set was uploaded to the Pangaea database (Holl and Kutzbach, 2018) and can be accessed through https://doi.org/10.1594/PANGAEA.892751. The included 236 D. Holl et al: Long-term eddy covariance CO 2 fluxes from the Siberian Arctic columns are given in Table 7.…”

Section: Data Availabilitymentioning

confidence: 99%

Data access

Holl¹

2018

Preprint

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“…Modern hydrometeorological records for the northern part of Russia are rare (i.e., Beer et al, 2013;Heimann et al, 2014;Boike et al, 2019), and they are primarily related to Arctic sites. Hydrometeorological data are required for the study of the ecosystem-atmosphere exchange (Alekseychik et al, 2017;Holl et al, 2019), biochemical processes in peat (Szajdak et al, 2016;Djukic et al, 2018), hydrology (Bleuten et al, 2020), and microbiology including mycology (Filippova and Lapshina, 2019).…”

Section: Introductionmentioning

confidence: 99%

Hydrometeorological dataset of West Siberian boreal peatland: a 10-year record from the Mukhrino field station

Dyukarev

Filippova

Karpov

et al. 2021

Earth Syst. Sci. Data

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Abstract. Northern peatlands represent one of the largest carbon pools in the biosphere, but the carbon they store is increasingly vulnerable to perturbations from climate and land-use change. Meteorological observations taken directly at peatland areas in Siberia are unique and rare, while peatlands are characterized by a specific local climate. This paper presents a hydrological and meteorological dataset collected at the Mukhrino peatland, Khanty-Mansi Autonomous Okrug – Yugra, Russia, over the period of 8 May 2010 to 31 December 2019. Hydrometeorological data were collected from stations located at a small pine–shrub–Sphagnum ridge and Scheuchzeria–Sphagnum hollow at ridge–hollow complexes of ombrotrophic peatland. The monitored meteorological variables include air temperature, air humidity, atmospheric pressure, wind speed and direction, incoming and reflected photosynthetically active radiation, net radiation, soil heat flux, precipitation (rain), and snow depth. A gap-filling procedure based on the Gaussian process regression model with an exponential kernel was developed to obtain continuous time series. For the record from 2010 to 2019, the average mean annual air temperature at the site was −1.0 ∘C, with the mean monthly temperature of the warmest month (July) recorded as 17.4 ∘C and for the coldest month (January) −21.5 ∘C. The average net radiation was about 35.0 W m−2, and the soil heat flux was 2.4 and 1.2 W m−2 for the hollow and the ridge sites, respectively. The presented data are freely available through Zenodo (https://doi.org/10.5281/zenodo.4323024, Dyukarev et al., 2020), last access: 15 December 2020) and can be used in coordination with other hydrological and meteorological datasets to examine the spatiotemporal effects of meteorological conditions on local hydrological responses across cold regions.

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A long-term (2002 to 2017) record of closed-path and open-path eddy covariance CO<sub>2</sub> net ecosystem exchange fluxes from the Siberian Arctic

Cited by 6 publications

References 35 publications

Addressing Biases in Arctic-Boreal Carbon Cycling in the Community Land Model Version 5

Addressing Biases in Arctic-Boreal Carbon Cycling in the Community Land Model Version 5

Data access

Hydrometeorological dataset of West Siberian boreal peatland: a 10-year record from the Mukhrino field station

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A long-term (2002 to 2017) record of closed-path and open-path eddy covariance CO&lt;sub&gt;2&lt;/sub&gt; net ecosystem exchange fluxes from the Siberian Arctic

Cited by 6 publications

References 35 publications

Addressing Biases in Arctic-Boreal Carbon Cycling in the Community Land Model Version 5

Addressing Biases in Arctic-Boreal Carbon Cycling in the Community Land Model Version 5

Data access

Hydrometeorological dataset of West Siberian boreal peatland: a 10-year record from the Mukhrino field station

Contact Info

Product

Resources

About

A long-term (2002 to 2017) record of closed-path and open-path eddy covariance CO<sub>2</sub> net ecosystem exchange fluxes from the Siberian Arctic