2015
DOI: 10.5194/gmd-8-1445-2015
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Advancement toward coupling of the VAMPER permafrost model within the Earth system model <I>i</I>LOVECLIM (version 1.0): description and validation

Abstract: Abstract. The VU Amsterdam Permafrost (VAMPER) permafrost model has been enhanced with snow thickness and active layer calculations in preparation for coupling within the iLOVECLIM Earth system model of intermediate complexity (EMIC). In addition, maps of basal heat flux and lithology were developed within ECBilt, the atmosphere component of iLOVECLIM, so that VAMPER may use spatially varying parameters of geothermal heat flux and porosity values. The enhanced VAMPER model is validated by comparing the simulat… Show more

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Cited by 11 publications
(27 citation statements)
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“…() refers to as the Last Permafrost Maximum (LPM). Following this research, it is the aim of our present work to provide new estimates of both the LGM permafrost extent and thickness using the VU University Amsterdam Permafrost Snow (VAMPERS) model (Kitover et al ., , ), forced by air temperatures and snow thickness from ECBilt, the atmosphere‐land component within i LOVECLIM (Roche, ; Goosse et al ., ). Specifically, we aim to answer the following research questions: (1) What is the model‐based extent and thickness distribution during the LGM; and (2) How well can this simulation be done using a one‐dimensional (1D) permafrost model, forced using a relatively simple Earth system model?…”
Section: Introductionmentioning
confidence: 99%
“…() refers to as the Last Permafrost Maximum (LPM). Following this research, it is the aim of our present work to provide new estimates of both the LGM permafrost extent and thickness using the VU University Amsterdam Permafrost Snow (VAMPERS) model (Kitover et al ., , ), forced by air temperatures and snow thickness from ECBilt, the atmosphere‐land component within i LOVECLIM (Roche, ; Goosse et al ., ). Specifically, we aim to answer the following research questions: (1) What is the model‐based extent and thickness distribution during the LGM; and (2) How well can this simulation be done using a one‐dimensional (1D) permafrost model, forced using a relatively simple Earth system model?…”
Section: Introductionmentioning
confidence: 99%
“…2.1 The iLOVECLIM model iLOVECLIM (here in version 1.1) is a fork of the LOVE-CLIM 1.2 model code, extensively described in Goosse et al (2010). Whilst the physics in the atmosphere, ocean and land surface has remained mostly unchanged, the major bifurcations from Goosse et al (2010) consist of the addition of a water oxygen isotope cycle (Roche, 2013;Roche and Caley, 2013), an oceanic carbon model (Bouttes et al, 2015), an alternative ice sheet model (Roche et al, 2014), the reimplementation of the initial iceberg model (Bügelmayer et al, 2015) and a permafrost model (Kitover et al, 2015). The LOVECLIM family of models contain a free surface ocean general circulation model with an approximately 3 • spatial resolution and 20 vertical layers.…”
Section: Methodsmentioning
confidence: 99%
“…Alternatively, Robinson et al (2010) embed a simplified regional energymoisture balance model in an EMIC in order to assess subgrid processes unresolved by their native atmospheric model. Although statistical downscaling has been applied to EMIC outputs (Vrac et al, 2007;Levavasseur et al, 2011), these techniques were not used to couple the various different components of models.…”
Section: Introductionmentioning
confidence: 99%
“…Whilst the physics in the atmosphere, ocean and land surface has remained mostly unchanged, the major bifurcations from Goosse et al (2010) consist of the addition of a water oxygen isotope cycle (Roche, 2013;Roche and Caley, 2013), an oceanic carbon model (Bouttes et al, 2015), an alternative ice sheet model (Roche et al, 2014), the reimplementation of the initial iceberg model (Bügelmayer et al, 2015) and a permafrost model (Kitover et al, 2015). The LOVECLIM family of models contain a free surface ocean general circulation model with an approximately 3 • spatial resolution and 20 vertical layers.…”
Section: The Iloveclim Modelmentioning
confidence: 99%