"Aalto, Tuula" - Selaus tekijän mukaan Luonnonvarakeskuksen julkaisut
Viitteet 1-12 / 12
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Consistent estimates of gross primary production of Finnish forests - comparison of estimates of two process models
Boreal Environment Research : 2 (Finnish Environment Institute, 2015) -
Ecosystem Services Related to Carbon Cycling – Modeling Present and Future Impacts in Boreal Forests
Frontiers in Plant Science (Frontiers Media SA, 2019) -
HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands
Geoscientific Model Development : 12 (European Geosciences Union, EGU, 2017)Wetlands are one of the most significant natural sources of methane (CH4/ to the atmosphere. They emit CH4 because decomposition of soil organic matter in waterlogged anoxic conditions produces CH4, in addition to carbon ... -
Large contribution of boreal upland forest soils to a catchment-scale CH4 balance in a wet year
Geophysical Research Letters : 6 (Wiley, 2016) -
Modelling spatio‐temporal soil moisture dynamics in mountain tundra
Hydrological Processes : 1 (Wiley, 2022) -
Monitoring changes in forestry and seasonal snow using surface albedo during 1982–2016 as an indicator
Biogeosciences : 2 (European Geosciences Union, 2019) -
Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations
Earth System Science Data : 3 (Copernicus GmbH, 2019) -
Preface to the special issue on integrated research of atmosphere, ecosystems and environment at Pallas
Boreal Environment Research (Finnish Environment Institute, 2015) -
Preface to the special issue on monitoring and modelling of carbon-balance-, water- and snow-related phenomena at northern latitudes
Boreal Environment Research : 2 (Finnish Environment Institute, 2015) -
Sensitivity of 21st century simulated ecosystem indicators to model parameters, prescribed climate drivers, RCP scenarios and forest management actions for two Finnish boreal forest sites
Biogeosciences : 10 (Copernicus Publ., 2020) -
Upscaling Wetland Methane Emissions From the FLUXNET‐CH4 Eddy Covariance Network (UpCH4 v1.0): Model Development, Network Assessment, and Budget Comparison
AGU Advances : 5 (American Geophysical Union (AGU), 2023)Wetlands are responsible for 20%–31% of global methane (CH4) emissions and account for a large source of uncertainty in the global CH4 budget. Data-driven upscaling of CH4 fluxes from eddy covariance measurements can provide ... -
Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions
Remote Sensing : 1 (MDPI AG, 2023)
