A daily, 1 km resolution data set of downscaled Greenland ice sheet surface mass balance (1958–2015)

Noël, Brice; Berg, Willem Jan van de; Machguth, Horst; Lhermitte, Stef; Howat, I. M.; Fettweis, Xavier; Broeke, M. R. van den

doi:10.5194/tc-10-2361-2016

Cited by 168 publications

(283 citation statements)

References 39 publications

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“…yr −1 . A major improvement upon Noël et al (2016) is that no additional precipitation correction is required here as the remaining negative bias in the GrIS interior has been almost eliminated in RACMO2.3p2 (Fig. 11a).…”

Section: Downscaled Smb To 1 Kmmentioning

confidence: 99%

“…To solve these issues at the margins, we apply the downscaling technique described in Noël et al (2016), which includes elevation and ice albedo corrections. As a result, modelled run-off increases by 82 Gt yr −1 (∼ 37 %) to 305 Gt yr −1 for the period 1958-2015, compared to the 11 km product, and the SMB biases and RMSEs in the GrIS ablation zone are reduced by 480 and 460 mm w.e.…”

Section: Downscaled Smb To 1 Kmmentioning

confidence: 99%

“…The model also simulates drifting snow erosion and sublimation following Lenaerts et al (2012b). Previously, RACMO2 has been used to reconstruct the contemporary SMB of the Greenland ice sheet (Van Angelen et al, 2013a, b;Noël et al, 2015Noël et al, , 2016 and peripheral ice caps , the Canadian Arctic Archipelago Noël et al, 2018), Patagonia and Antarctica (van Wessem et al, 2014a;Van Wessem et al, 2014b).…”

Section: Introductionmentioning

confidence: 99%

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Modelling the climate and surface mass balance of polar ice sheets using RACMO2 – Part 1: Greenland (1958–2016)

et al. 2018

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Abstract. We evaluate modelled Greenland ice sheet (GrIS) near-surface climate, surface energy balance (SEB) and surface mass balance (SMB) from the updated regional climate model RACMO2 . The new model version, referred to as RACMO2.3p2, incorporates updated glacier outlines, topography and ice albedo fields. Parameters in the cloud scheme governing the conversion of cloud condensate into precipitation have been tuned to correct inland snowfall underestimation: snow properties are modified to reduce drifting snow and melt production in the ice sheet percolation zone. The ice albedo prescribed in the updated model is lower at the ice sheet margins, increasing ice melt locally. RACMO2.3p2 shows good agreement compared to in situ meteorological data and point SEB/SMB measurements, and better resolves the spatial patterns and temporal variability of SMB compared with the previous model version, notably in the north-east, south-east and along the K-transect in south-western Greenland. This new model version provides updated, high-resolution gridded fields of the GrIS presentday climate and SMB, and will be used for projections of the GrIS climate and SMB in response to a future climate scenario in a forthcoming study.

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Section: Downscaled Smb To 1 Kmmentioning

confidence: 99%

Section: Downscaled Smb To 1 Kmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modelling the climate and surface mass balance of polar ice sheets using RACMO2 – Part 1: Greenland (1958–2016)

et al. 2018

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“…Then, the fields are corrected for the altitude difference induced by the difference of resolution between and by GRISLI (resolution 5 km). This procedure can be followed at a daily time scale (Noël et al, 2016). For our purpose, we choose to average the daily vertical gradients at the annual time scale and to apply the altitude correction every year.…”

Section: Coupling Methods and Experimentsmentioning

confidence: 99%

Assessment of the Greenland ice sheet – atmosphere feedbacks for the next century with a regional atmospheric model fully coupled to an ice sheet model

clec’h¹,

Fettweis²,

Quiquet³

et al. 2017

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Abstract. In the context of global warming, the projected Greenland sea level rise contribution is mainly controlled by the interactions between the Greenland ice sheet (GrIS) and the atmosphere, in particular through the temperature and surface mass balance -elevation feedback. In order to evaluate the importance of these feedbacks, we used three methods to represent the interactions between the GrIS model GRISLI and the polar regional atmosphere model MAR, under the RCP 8.5 scenario from 2020 to 2150. In the simplest method, there is no coupling, MAR computes varying atmospheric conditions using a constant 5 GrIS geometry (topography and extent) set to observations and GRISLI is forced by these results. The second is a one-way coupling method which represents the interactions by correcting offline the MAR outputs to account for topography changes computed by GRISLI. The third method is a full two-way coupling in which the ice sheet topography and extent seen by the atmospheric model evolve after each ice sheet model time step. Due to the ice sheet elevation feedback, the two-way coupling method amplifies the projected decrease in surface mass balance, the increase in surface temperature and the GrIS surface 10 thinning for the coastal regions, compared to the no coupling method. Compared to both the one-way and the no coupling methods, the two-way coupling allows the changes of fine scale processes to be represented, such as the increase in katabatic winds over the coast. As a consequence, in 2150, the two-way coupling method computes a GrIS melting contribution to sea level rise 9.3 % larger than the no coupling method, and 2.5 % larger than the one-way coupling methods. After 150 years, the GrIS extent seen by MAR in the two-way method is 52 400 km 2 lower than with the no coupling method. Furthermore, 15 in 2150, using a fix ice sheet mask, as in the no coupling method, overestimates by 24 % the SLR contribution from SMB compared to the use of the ice sheet mask as simulated in the two-way method. Beyond the century time-scale, a two-way method becomes necessary in order to avoid an underestimation of the projected ice sheet volume, topography and ice extent reduction. The one-way coupling method however seems to be sufficient to represent the interactions for projections until the end of the 21 st century. The no coupling method always underestimates the projected ice sheet volume loss significantly due 20 to the lack of feedback between the GrIS and the atmosphere. 1The Cryosphere Discuss., https://doi

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“…To resolve the finer details that are more useful for prescribed regions or for complex process studies, regional climate models (RCMs) are useful for dynamically down-scaling these climate projections. In Greenland, the RCMs RACMO (e.g., Ettema et al 2009;Noël et al 2016), MAR (e.g., Fettweis et al 2017Fettweis et al , 2013, and PolarMM5 (Burgess et al 2010) as well as HIRHAM5 ) have previously been used for climate research. A comparison of the performance of early versions of these RCMs in Rae et al (2012) showed some differences in performance.…”

Section: Introductionmentioning

confidence: 99%

21st-century climate change around Kangerlussuaq, west Greenland: From the ice sheet to the shores of Davis Strait

Boberg

Langen

Mottram

et al. 2018

Arctic, Antarctic, and Alpine Research

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Using regional climate-model runs with a horizontal resolution of 5.5 km for two future scenarios and two time slices (representative concentration pathway [RCP] 4.5 and 8.5; 2031-2050 and 2081-2100 relative to a historical period (1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010), we study the climate change for the Qeqqata municipality in general and for Kangerlussuaq in particular. The climate-model runs are validated against observations of temperature and surface mass balance and a reanalysis simulation with the same model setup as the scenario runs, providing high confidence in the results. Clear increases in temperature and precipitation for the end of the 21st century are shown, both on and off the ice sheet, with an off-ice sheet mean annual temperature increase of 2.5-3°C for the RCP4.5 scenario and 4.8-6.0°C for the RCP8.5 scenario, and for precipitation an increase of 20-30% for the RCP4.5 scenario and 30-80% for the RCP8.5 scenario. Climate analogs for Kangerlussuaq for temperature and precipitation are provided, indicating that end-of-the-century Kangerlussuaq mean annual temperature is comparable with temperatures for the south of Greenland today. The extent of glacial retreat is also estimated for the Qeqqata municipality, suggesting that most of the ice caps south of the Kangerlussuaq fjord will be gone before the end of this century. Furthermore, the high-resolution runs are compared with an ensemble of six models run at a 50 km resolution, showing the need for high-resolution model simulations over Greenland. ARTICLE HISTORY

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A daily, 1 km resolution data set of downscaled Greenland ice sheet surface mass balance (1958–2015)

Cited by 168 publications

References 39 publications

Modelling the climate and surface mass balance of polar ice sheets using RACMO2 – Part 1: Greenland (1958–2016)

Modelling the climate and surface mass balance of polar ice sheets using RACMO2 – Part 1: Greenland (1958–2016)

Assessment of the Greenland ice sheet – atmosphere feedbacks for the next century with a regional atmospheric model fully coupled to an ice sheet model

21st-century climate change around Kangerlussuaq, west Greenland: From the ice sheet to the shores of Davis Strait

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A daily, 1 km resolution data set of downscaled Greenland ice sheet surface mass balance (1958–2015)

Cited by 168 publications

References 39 publications

Modelling the climate and surface mass balance of polar ice sheets using RACMO2 – Part 1: Greenland (1958–2016)

Modelling the climate and surface mass balance of polar ice sheets using RACMO2 – Part 1: Greenland (1958–2016)

Assessment of the Greenland ice sheet – atmosphere feedbacks for the next century with a regional atmospheric model fully coupled to an ice sheet model

21st-century climate change around Kangerlussuaq, west Greenland: From the ice sheet to the shores of Davis Strait

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A daily, 1 km resolution data set of downscaled Greenland ice sheet surface mass balance (1958–2015)