The firn meltwater retention model intercomparison project (RetMIP): forcing data

This dataset contains the forcing provided to all models for the firn meltwater Retention Intercomparison Project (RetMIP). The forcing files consist of 1) three-hourly time series of snow surface temperature, net accumulation (positive for snowfall and vapor deposition and negative for sublimation)...

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Main Author: Vandecrux, Baptiste
Format: Dataset
Language:unknown
Published: GEUS Dataverse 2020
Subjects:
Online Access:https://dx.doi.org/10.22008/fk2/gz3csn
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description This dataset contains the forcing provided to all models for the firn meltwater Retention Intercomparison Project (RetMIP). The forcing files consist of 1) three-hourly time series of snow surface temperature, net accumulation (positive for snowfall and vapor deposition and negative for sublimation) and melt and 2) initial profiles for firn density, temperature and liquid water content. These fields are available at four sites located in different climate zones of the Greenland ice sheet: Summit, Dye-2, KAN_U and the firn aquifer site (FA). At the Dye-2 sites, two forcing data files are available: one covering 1998-2015 and another one derived from more recent instruments over the 2016 melt season. At Summit and Dye-2 (for 1998-2015), we use data from the GC-Net automatic weather stations (AWS), at Dye-2 for 2016 we use the AWS from Samimi et al. (2020), at KAN_U data from the PROMICE AWS, and at FA data from the AWS maintained by IMAU at Utrecht University. Surface temperature and vapour fluxes were calculated at hourly resolution using the surface energy budget closure from van As (2005), as implemented in Vandecrux et al. (2018). The energy budget used measurements of air temperature, humidity, pressure and net shortwave radiation. Downward longwave radiations was measured at Dye-2 (for 2016), KAN_U and FA but were extracted from the closest cell in HIRHAM regional climate model at Dye-2 (1998-2015) and Summit. Sensible and latent heat fluxes were calculated using the bulk approach and upward longwave radiation was solved iteratively at each time step. Snowfall was derived from surface height observations available at each station, first with an a-priori surface snow density of 315 kg m-3 (Fausto et al., 2016), then adjusted to multiple snowpit observations available at each site. Gap-free meteorological fields were obtained using the approach from Vandecrux et al. (2018) which adjusts the output from HIRHAM climate model to match at best the observations and use these adjusted values to fill the gaps in the instrumental records. More information about the RetMIP protocol and on the recommended boundary conditions can be found in Vandecrux et al. (2020) and on the RetMIP webpage. The model outputs for the RetMIP are available here: Vandecrux, Baptiste; Peter L. Langen; Peter Kuipers Munneke; Sebastian Simonsen; Vincent Verjans; C. Max Stevens; Sergey Marchenko; Ward van Pelt; Colin Meyer, 2020, "The firn meltwater retention model intercomparison project (RetMIP): model outputs", https://doi.org/10.22008/FK2/CVPUJL, GEUS Dataverse
format Dataset
author Vandecrux, Baptiste
spellingShingle Vandecrux, Baptiste
The firn meltwater retention model intercomparison project (RetMIP): forcing data
author_facet Vandecrux, Baptiste
author_sort Vandecrux, Baptiste
title The firn meltwater retention model intercomparison project (RetMIP): forcing data
title_short The firn meltwater retention model intercomparison project (RetMIP): forcing data
title_full The firn meltwater retention model intercomparison project (RetMIP): forcing data
title_fullStr The firn meltwater retention model intercomparison project (RetMIP): forcing data
title_full_unstemmed The firn meltwater retention model intercomparison project (RetMIP): forcing data
title_sort firn meltwater retention model intercomparison project (retmip): forcing data
publisher GEUS Dataverse
publishDate 2020
url https://dx.doi.org/10.22008/fk2/gz3csn
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ENVELOPE(35.717,35.717,-71.250,-71.250)
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genre Greenland
Ice Sheet
genre_facet Greenland
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spelling ftdatacite:10.22008/fk2/gz3csn 2023-05-15T16:30:40+02:00 The firn meltwater retention model intercomparison project (RetMIP): forcing data Vandecrux, Baptiste 2020 https://dx.doi.org/10.22008/fk2/gz3csn https://dataverse01.geus.dk/citation?persistentId=doi:10.22008/FK2/GZ3CSN unknown GEUS Dataverse https://dx.doi.org/10.22008/fk2/gz3csn/a8trt5 https://dx.doi.org/10.22008/fk2/gz3csn/ycfd5i https://dx.doi.org/10.22008/fk2/gz3csn/wtcddr https://dx.doi.org/10.22008/fk2/gz3csn/d0d6zt https://dx.doi.org/10.22008/fk2/gz3csn/rqryka https://dx.doi.org/10.22008/fk2/gz3csn/vgeljm https://dx.doi.org/10.22008/fk2/gz3csn/fxbzlj https://dx.doi.org/10.22008/fk2/gz3csn/zvfdin https://dx.doi.org/10.22008/fk2/gz3csn/a8sjnw https://dx.doi.org/10.22008/fk2/gz3csn/vmhulu https://dx.doi.org/10.22008/fk2/gz3csn/ugvudw https://dx.doi.org/10.22008/fk2/gz3csn/lj8ajx https://dx.doi.org/10.22008/fk2/gz3csn/xvmnbz https://dx.doi.org/10.22008/fk2/gz3csn/g1nznz https://dx.doi.org/10.22008/fk2/gz3csn/obvzzu https://dx.doi.org/10.22008/fk2/gz3csn/4ryf9c https://dx.doi.org/10.22008/fk2/gz3csn/ojf0p9 https://dx.doi.org/10.22008/fk2/gz3csn/btxjmy https://dx.doi.org/10.22008/fk2/gz3csn/gfe1yw dataset Dataset 2020 ftdatacite https://doi.org/10.22008/fk2/gz3csn https://doi.org/10.22008/fk2/gz3csn/a8trt5 https://doi.org/10.22008/fk2/gz3csn/ycfd5i https://doi.org/10.22008/fk2/gz3csn/wtcddr https://doi.org/10.22008/fk2/gz3csn/d0d6zt https://doi.org/10.22008/fk2/gz3csn/r 2021-11-05T12:55:41Z This dataset contains the forcing provided to all models for the firn meltwater Retention Intercomparison Project (RetMIP). The forcing files consist of 1) three-hourly time series of snow surface temperature, net accumulation (positive for snowfall and vapor deposition and negative for sublimation) and melt and 2) initial profiles for firn density, temperature and liquid water content. These fields are available at four sites located in different climate zones of the Greenland ice sheet: Summit, Dye-2, KAN_U and the firn aquifer site (FA). At the Dye-2 sites, two forcing data files are available: one covering 1998-2015 and another one derived from more recent instruments over the 2016 melt season. At Summit and Dye-2 (for 1998-2015), we use data from the GC-Net automatic weather stations (AWS), at Dye-2 for 2016 we use the AWS from Samimi et al. (2020), at KAN_U data from the PROMICE AWS, and at FA data from the AWS maintained by IMAU at Utrecht University. Surface temperature and vapour fluxes were calculated at hourly resolution using the surface energy budget closure from van As (2005), as implemented in Vandecrux et al. (2018). The energy budget used measurements of air temperature, humidity, pressure and net shortwave radiation. Downward longwave radiations was measured at Dye-2 (for 2016), KAN_U and FA but were extracted from the closest cell in HIRHAM regional climate model at Dye-2 (1998-2015) and Summit. Sensible and latent heat fluxes were calculated using the bulk approach and upward longwave radiation was solved iteratively at each time step. Snowfall was derived from surface height observations available at each station, first with an a-priori surface snow density of 315 kg m-3 (Fausto et al., 2016), then adjusted to multiple snowpit observations available at each site. Gap-free meteorological fields were obtained using the approach from Vandecrux et al. (2018) which adjusts the output from HIRHAM climate model to match at best the observations and use these adjusted values to fill the gaps in the instrumental records. More information about the RetMIP protocol and on the recommended boundary conditions can be found in Vandecrux et al. (2020) and on the RetMIP webpage. The model outputs for the RetMIP are available here: Vandecrux, Baptiste; Peter L. Langen; Peter Kuipers Munneke; Sebastian Simonsen; Vincent Verjans; C. Max Stevens; Sergey Marchenko; Ward van Pelt; Colin Meyer, 2020, "The firn meltwater retention model intercomparison project (RetMIP): model outputs", https://doi.org/10.22008/FK2/CVPUJL, GEUS Dataverse Dataset Greenland Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Greenland Kuipers ENVELOPE(161.400,161.400,-77.900,-77.900) Langen ENVELOPE(11.650,11.650,-70.750,-70.750) Van Pelt ENVELOPE(35.717,35.717,-71.250,-71.250)