Cristin-resultat-ID: 1857142
Sist endret: 7. desember 2020, 17:13
Resultat
Vitenskapelig foredrag
2020

The Representation of the Fennoscandian Snow Cover Phenology in Reanalyses and CLM5 during the MODIS-era

Bidragsytere:
  • Yeliz A. Yilmaz
  • Kristoffer Aalstad
  • Simon Vincent P Filhol
  • Frode Stordal og
  • Lena M. Tallaksen

Presentasjon

Navn på arrangementet: The Earth Observation for Water Cycle Science 2020 Conference
Dato fra: 16. november 2020
Dato til: 19. november 2020

Om resultatet

Vitenskapelig foredrag
Publiseringsår: 2020

Beskrivelse Beskrivelse

Tittel

The Representation of the Fennoscandian Snow Cover Phenology in Reanalyses and CLM5 during the MODIS-era

Sammendrag

Snow plays an important role in cold regions through its effect on the terrestrial exchange of energy, water, and carbon. Accurately simulating snow processes is therefore important in capturing various climate feedbacks in Earth system models. The representation of the subgrid heterogeneity of snow properties (e.g. coverage, depth, density, albedo) are, in addition to accumulation and snowmelt, major sources of uncertainty in the snow modules of land surface schemes. Using multiple data sources is essential to address these uncertainties and to evaluate overall model performance. Unlike in-situ observations, satellite remote sensing products provide unique representative information at the scale of Earth system models. The Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard the Aqua and Terra satellites provide a continuous long-term climate record for the last two decades. In this study, two daily snow cover data sets from MODIS (MOD10A1 and MYD10A1) were used to retrieve fractional snow-covered area (fSCA) and several snow cover metrics (e.g. snow cover duration, first and last day of snow) over Fennoscandia for the 2001-2020 water years. We use these retrievals to evaluate the fSCA outputs from multiple reanalyses (ERA5-Land, ERA5, and MERRA-2) and the latest version of the Community Land Model (CLM5) which is the land component of the Community Earth System Model (CESM) and the Norwegian Earth System Model (NorESM). In order to test the accuracy of the MODIS data, we employed Sentinel-2 and Landsat 8 satellite retrievals as well as local‐scale measurements around the Finse Eco-Hydrological Observatory (Finse EcHO), a low-alpine site in central Norway. Lastly, we compared the trends in snow cover metrics with terrestrial water storage anomalies obtained from the Gravity Recovery and Climate Experiment (GRACE) to better understand the regional water cycle dynamics over this region. This study provides a useful starting point for integrating Earth observations into Earth system modeling in cold regions to help identify and constrain sources of uncertainty. Acknowledgement : This study is conducted under the LATICE strategic research initiative funded by the Faculty of Mathematics and Natural Sciences at the University of Oslo, and the EMERALD (project #294948) funded by the Research Council of Norway.

Bidragsytere

Yeliz Yilmaz

Bidragsyterens navn vises på dette resultatet som Yeliz A. Yilmaz
  • Tilknyttet:
    Forfatter
    ved Seksjon for naturgeografi og hydrologi ved Universitetet i Oslo

Kristoffer Aalstad

  • Tilknyttet:
    Forfatter
    ved Seksjon for naturgeografi og hydrologi ved Universitetet i Oslo

Simon Filhol

Bidragsyterens navn vises på dette resultatet som Simon Vincent P Filhol
  • Tilknyttet:
    Forfatter
    ved Institutt for geofag ved Universitetet i Oslo

Frode Stordal

  • Tilknyttet:
    Forfatter
    ved Meteorologi og oseanografi ved Universitetet i Oslo

Lena Merete Tallaksen

Bidragsyterens navn vises på dette resultatet som Lena M. Tallaksen
  • Tilknyttet:
    Forfatter
    ved Seksjon for naturgeografi og hydrologi ved Universitetet i Oslo
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