• Energy Research

AbstractDespite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm−2) relative to snow-free and -onset dates varies substantially depending on vegetation type, implying vegetation controls on snow-cover and SEB-flux seasonality. Our results indicate complex shifts in surface energy fluxes with land-cover transitions and a lengthening summer season, and highlight the potential for improving future Earth system models via a refined representation of Arctic vegetation types.

Downward-looking radiometers have been installed on July 2016 to collect the upward component of the SW and LW irradiances. Eppley PSP pyranometer and PIR pyrgeometer are located about 100 m West of THAAO on a metal frame at about 2.3 m agl. Electronic levels monitor any possible deviation from the horizontal in the North-South and Est-West directions. See https://www.thuleatmos-it.it/instruments/radiometers for additional details. Radiometers are not ventilated. Data are recorded with a 30 second time step and are used to calculate hourly means and standard deviations. Regular calibrations allow our team to monitor changes of the sensitivity with time. Quality checks are perfomed based on tests recommended for sensors enrolled in the Baseline Surface Radiation Network (BSRN).

This data package contains high accuracy CO2 dry air mole fractions from 39 ICOS European observatories at in total 95 observation levels, collected by the ICOS Atmosphere Thematic Centre (ATC) and provided by the station contributors. The package includes the 2024.3 FastTrack update of the Globalview EU data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies. Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Please review the release notes for the associated Obspack product at www.esrl.noaa.gov/gmd/ccgg/obspack/release_notes.html. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/85D0-RCDQ. Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information on Obspack.

Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In-situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. Therefore, we here provide four datasets comprising:1. Harmonized, standardized and aggregated in situ observations of SEB components at 64 vegetated and glaciated sites north of 60° latitude, in the time period 1994-20212. A description of all study sites and associated environmental conditions, including the vegetation types, which correspond to the classification of the Circumpolar Arctic Vegetation Map (CAVM, Raynolds et al. 2019).3. Data generated in a literature synthesis from 358 study sites on vegetation or glacier (>=60°N latitude) covered by 148 publications.4. Metadata, including data contributor information and measurement heights of variables associated with Oehri et al. 2022. Code underlying the dataset and publication is available in a Github repository and can be accessed at: https://github.com/oehrij/ArcticSEBSynthesis

This data package contains high accuracy CO2 dry air mole fractions from 65 ICOS and non-ICOS European observatories at in total 146 observation levels, collected by the ICOS Atmosphere Thematic Centre (ATC) and provided by the station contributors. The package is part of the Globalview EU data product, released in 2023 and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies. Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Please review the release notes for the associated Obspack product at www.esrl.noaa.gov/gmd/ccgg/obspack/release_notes.html. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/PEKQ-M4T1. Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information.

This data package contains high accuracy CO2 dry air mole fractions from 65 ICOS and non-ICOS European observatories at in total 146 observation levels, collected by the ICOS Atmosphere Thematic Centre (ATC) and provided by the station contributors. The package is the second 2024 update of the Globalview EU data product (version 9.2), released in 2023 and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies. Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Please review the release notes for the associated Obspack product at www.esrl.noaa.gov/gmd/ccgg/obspack/release_notes.html. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/FSS8-53NX. Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information on Obspack.