Python and Matlab scripts to simulate surface energy fluxes and firn evolution on the Greenland ice sheet.
Vandecrux B. GEUS Surface Energy Balance, Snow and Firn Model. GitHub, https://github.com/GEUS-Glaciology-and-Climate/GEUS-SEB-firn-model 2024.
Python functions for reading and writing NEAD-formatted meteorological datasets.
Mankoff K. et al. pyNEAD: Python interface to the NEAD format. Zenodo, https://doi.org/10.5281/zenodo.7728588, 2023.
Python scripts for retrieving snow albedo and surface properties from Sentinel-3 OLCI data.
Vandecrux B, Kokhanovsky A, Box J. pySICE: Python scripts for albedo retrieval from Sentinel-3 OLCI. GEUS, https://github.com/GEUS-SICE/pySICE, 2024.
Open-source scripts for processing and calibrating GC-Net AWS data across the Greenland Ice Sheet.
Python package for processing PROMICE and GC-Net automated weather station data.
How et al., pypromice: A Python package for processing automated weather station data, JOSS, https://doi.org/10.21105/joss.05298, 2023.
Published in GEUS Dataverse, 2021
Colgan W, Vandecrux B, "Camp Century: Firn temperature measurements (CEN-THM)." GEUS Dataverse, https://doi.org/10.22008/FK2/SR3O4F, 2021.
Published in GEUS Dataverse, 2022
Colgan W, Vandecrux B, "Camp Century: Firn compaction measurements (CEN-COM)." GEUS Dataverse, https://doi.org/10.22008/FK2/CQSKLK, 2022.
Published in GEUS Dataverse, 2022
Vandecrux B, Colgan W, "Camp Century: Simulations of firn evolution 1966-2100." GEUS Dataverse, https://doi.org/10.22008/FK2/QDND53, 2022.
Published in GEUS Dataverse, 2022
Steffen K, Vandecrux B, Houtz D, Abdalati W, Bayou N, Box J, Colgan W, Espona L, Griessinger N, Haas-Artho D, Heilig A, Hubert A, Iosifescu I, Johnson-Amin N, Karlsson N, Kurup R, McGrath D, Cullen N, Naderpour R, Molotch N, Pedersen A, Perren B, Philipps T, Plattner G, Proksch M, Revheim M, Særrelse M, Schneebli M, Sampson K, Starkweather S, Steffen S, Stroeve J, Watler B, Winton Ø, Zwally J, Ahlstrøm A, "GC-Net Level 1 historical automated weather station data." GEUS Dataverse, https://doi.org/10.22008/FK2/VVXGUT, 2022.
Published in GEUS Dataverse, 2022
How P, Lund M, Ahlstrøm A, Andersen S, Box J, Citterio M, Colgan W, Fausto. R, Karlsson N, Jakobsen J, Larsen S, Mankoff K, Pedersen A, Rutishauser A, Shield C, Solgaard A, Van D, Vandecrux B, Abermann J, Bjørk A, Langley K, Lea J, Prinz R, Wright P, "PROMICE and GC-Net automated weather station data in Greenland." GEUS Dataverse, https://doi.org/10.22008/FK2/IW73UU, 2022.
Published in GEUS Dataverse, 2022
Vandecrux B, Box J, Mankoff K, Wehrlé A, "Snow broadband albedo, specific surface area and optical grain diameter from Sentinel-3’s OLCI, daily 1 km mosaics, Greenland." GEUS Dataverse, https://doi.org/10.22008/FK2/OIAJVO, 2022.
Published in GEUS Dataverse, 2023
Vandecrux B, "Greenland ice sheet ice and firn temperature reconstruction at 10 m depth, 1950-2022." GEUS Dataverse, https://doi.org/10.22008/FK2/C24WVN, 2023.
Published in GEUS Dataverse, 2023
Bahbah R, Box J, Vandecrux B, Wehrlé A, Mankoff K, Perše M, "SICEv3.0 Greenland snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 500 m resolution, 2017-2025." GEUS Dataverse, https://doi.org/10.22008/FK2/FBIFOX, 2023.
Published in GEUS Dataverse, 2023
Vandecrux B, Box J, Ahlstrøm A, Fausto R, Karlsson N, Rutishauser A, Citterio M, Larsen S, Heuer J, Solgaard A, How P, Colgan W, Fahrner D, "GEUS snow and firn data in Greenland." GEUS Dataverse, https://doi.org/10.22008/FK2/9QEOWZ, 2023.
Published in NSF Arctic Data Center, 2024
Vandecrux B, Amory C, Ahlstrøm A, Akers P, Albert M, Alley R, Alves M, Arnaud L, Baker I, Bales R, Benson C, Box J, Brucker L, Buizert C, Chandler D, Charalampidis C, Cherblanc C, Clerx N, Colgan W, Covi F, Dattler M, Denis G, Derksen C, Dibb J, Ding M, Dixon D, Eisen O, Fahrner D, Fausto R, Favier V, Fernandoy F, Freitag J, Gerland S, Harper J, Hawley R, Heuer J, Hock R, Hou S, How P, Humphrey N, Hubbard B, Iizuka Y, Isaksson E, Kameda T, Karlsson N, Kawakami K, Kjær H, Kreutz K, Kuipers P, Lazzara M, Lemeur E, Lenaerts J, Lewis G, Lindau F, Lindsey-Clark J, MacFerrin M, Machguth H, Magand O, Mankoff K, Marquetto L, Martinerie P, McConnell J, Medley B, Miège C, Miles K, Miller O, Miller H, Montgomery L, Morris E, Mosley-Thompson E, Mulvaney R, Niwano M, Oerter H, Osterberg E, Otosaka I, Picard G, Polashenski C, Reijmer C, Rennermalm A, Rutishauser A, Scanlan K, Simoes J, Simonsen S, Smeets P, Smith A, Solgaard A, Spencer M, Steen-Larsen H, Stevens C, Sugiyama S, Svensson J, Tedesco M, Thomas E, Thompson-Munson M, Tsutaki S, Van D, Van M, Van M, Wang Y, Wilhelms F, Winstrup M, Xiao J, Xiao C, "The SUMup collaborative database: Surface mass balance, subsurface temperature and density measurements from the Greenland and Antarctic ice sheets (2024 release)." NSF Arctic Data Center, https://doi.org/10.18739/A2M61BR5M, 2024.
The first fieldwork that I organized, along with the two friends I was writing my thesis with. We travelled twice to Longyearbyen, Svalbard, and twice to Sisimiut, Greenland. During the summer trip, we established 3D maps of the bare ground at our study sites. During the winter trips we surveyed the spatial distribution of snow at our sites either making 3D mapping of the snow surface from pictures taken by a drone, that we could then compare to the 3D model of the bare ground, or with a ground penetrating radar and other traditional methods (snowpit and probing). During each measurement campaign, GPS surveys were conducted to tie our successive 3D models to common reference points.
2016 was my first ever expedition on the Greenland ice sheet—an unforgettable and intense introduction to polar fieldwork. As part of the FirnCover project, I joined a team of 11 scientists from four countries, led by Mike MacFerrin. We were dropped off at DYE-2 with everything needed for a fully self-supported campaign: skidoos, drums of fuel, tents, food for weeks, and all our scientific gear. From there, we spent about ten days traversing across southern Greenland by snowmobile, covering hundreds of kilometers over wind-swept sastrugi and stopping at key sites like KAN-U and EKT to drill firn cores, dig snow pits, service GPS compaction stations, and maintain AWS instruments.
This fieldwork was my second field season on the Greenland ice sheet with the FirnCover project, and it built directly on the momentum of the year before. We started in April, gathering in Kangerlussuaq to prep gear and load skidoos, fuel drums, science equipment, and weeks’ worth of supplies. After a few days of sorting and staging, we flew by LC-126 to Camp Raven (DYE-2), where the real work began.
With this fieldwork, I visited some of the most remote places in Greenland: the Kronprins Christian Land, Centrum Sø and the two lonely weather stations of KPC_L and KPC_U.
In Southern Greenland, we visited KAN_U, DYE-2, Saddle, NASA-SE, South Dome, Crawford Point. Then we moved North and were stationed in Qaanaaq. From there we visited Camp Century, Humboldt and NEEM.
Weather station maintenance in South Greenland. We visited KAN_U, DYE-2, South Dome, Saddle, NASA-SE and Crawford Point. As the worried look on Andreas’ face indicates, KAN_U was standing in rather poor shape and almost buried in snow when we arrived. Maintenance was most needed! 
We visited DYE-2, KAN_U, Saddle, Crawford Point, NASA-SE and even South Dome where we got stranded for 8 hours due to sticky snow, thin air and low winds, making it impossible for the twin otter to take off.
The GC-Net South 2025 field campaign was defined by rough weather from the start. Storms rolling in from Iceland pushed us away from Kangerlussuaq and the southern stations, so we headed north in search of clearer skies—though the tradeoff was colder conditions. Our first stop was Crawford Point (CP1), with an overnight in Ilulissat. The next day, we reached NAU, which hadn’t seen a full maintenance since 2022 and clearly needed attention. Temperatures dropped to -25°C with 12 m/s winds, giving a brutal wind chill of -40°C. A close call with frostbite reminded us: in these conditions, there’s no room for exposed skin.
Our team of three flew to Tasiilaq to service the two GC-Net stations TAS_L and TAS_A. The first few days were grounded by bad weather, which gave us time to troubleshoot a new data logger intended for TAS_L that, frustratingly, remained silent during our tests. With great support from our station engineers back in Denmark, we identified a faulty connection in the data logger and managed to repair it before the first good-weather days of the trip.
Published in Geological Survey of Denmark and Greenland Bulletin, 2016
Evaluates how well the HIRHAM5 regional climate model reproduces firn conditions observed in situ on the Greenland ice sheet.
Charalampidis C, As D, Langen P, Fausto R, Vandecrux B, Box J, "Regional climate model performance in Greenland firn derived from in situ observations." Geological Survey of Denmark and Greenland Bulletin, 35, 75-78, https://eng.geus.dk/media/10863/nr35_p75-78.pdf, 2016.
Published in Frontiers in Earth Science, 2017
Adds a liquid water flow and retention scheme to the HIRHAM5 regional climate model and examines its local and large-scale impact on Greenland ice sheet runoff.
Langen P., Fausto R., Vandecrux B., Mottram R., Box J.: "Liquid Water Flow and Retention on the Greenland Ice Sheet in the Regional Climate Model HIRHAM5: Local and Large-Scale Impacts." Frontiers in Earth Science, http://doi.org/10.3389/feart.2016.00110, 2017.
Published in Remote Sensing, 2017
Uses low-cost drones and digital photogrammetry to map snow depth at high spatial resolution in the Arctic.
Cimoli E, Marcer M, Vandecrux B, Bøggild C, Williams G, Simonsen S, "Application of Low-Cost UASs and Digital Photogrammetry for High-Resolution Snow Depth Mapping in the Arctic." Remote Sensing, http://doi.org/10.3390/rs9111144, 2017.
Published in Frontiers in Earth Science, 2018
Compiles a snow density dataset used to improve the surface boundary conditions of Greenland ice sheet firn models.
Fausto R, Box J, Vandecrux B, As D, Steffen K, MacFerrin M, Machguth H, Colgan W, Koenig L, McGrath D, Charalampidis C, Braithwaite R, "A Snow Density Dataset for Improving Surface Boundary Conditions in Greenland Ice Sheet Firn Modeling." Frontiers in Earth Science, http://doi.org/10.3389/feart.2018.00051, 2018.
Published in Geological Survey of Denmark and Greenland Bulletin, 2018
Reports satellite-derived snowline elevations on the Greenland ice sheet at the end of each melt season from 2000 to 2017.
Fausto R, et al., "The Greenland ice sheet – snowline elevations at the end of the melt seasons from 2000 to 2017." Geological Survey of Denmark and Greenland Bulletin, 41, 71-74, https://eng.geus.dk/media/19958/nr41_p71-74.pdf, 2018.
Published in Journal of Geophysical Research: Earth Surface, 2018
Identifies the main climatic drivers of near-surface firn density using weather station observations and modeling.
Vandecrux B, Fausto R, Langen P, As D, MacFerrin M, Colgan W, Ingeman‐Nielsen T, Steffen K, Jensen N, Møller M, Box J, "Drivers of Firn Density on the Greenland Ice Sheet Revealed by Weather Station Observations and Modeling." Journal of Geophysical Research: Earth Surface, http://doi.org/10.1029/2017JF004597, 2018.
Published in The Cryosphere, 2019
Compiles historical firn density measurements to show a widespread decrease in firn air content across western Greenland.
Vandecrux B, MacFerrin M, Machguth H, Colgan W, As D, Heilig A, Stevens C, Charalampidis C, Fausto R, Morris E, Mosley-Thompson E, Koenig L, Montgomery L, Miège C, Simonsen S, Ingeman-Nielsen T, Box J, "Firn data compilation reveals widespread decrease of firn air content in western Greenland." The Cryosphere, http://doi.org/10.5194/tc-13-845-2019, 2019.
Published in Nature, 2019
Documents the rapid growth of low-permeability ice slabs within the Greenland ice sheet’s percolation zone and their effect on meltwater storage.
MacFerrin M, Machguth H, As D, Charalampidis C, Stevens C, Heilig A, Vandecrux B, Langen P, Mottram R, Fettweis X, Broeke M, Pfeffer W, Moussavi M, Abdalati W, "Rapid expansion of Greenland’s low-permeability ice slabs." Nature, http://doi.org/10.1038/s41586-019-1550-3, 2019.
Published in Remote Sensing, 2019
Develops a method to retrieve snow grain size and albedo from the Sentinel-3 Ocean and Land Colour Instrument.
Kokhanovsky A, Lamare M, Danne O, Brockmann C, Dumont M, Picard G, Arnaud L, Favier V, Jourdain B, Le E, Di B, Aoki T, Niwano M, Rozanov V, Korkin S, Kipfstuhl S, Freitag J, Hoerhold M, Zuhr A, Vladimirova D, Faber A, Steen-Larsen H, Wahl S, Andersen J, Vandecrux B, As D, Mankoff K, Kern M, Zege E, Box J, "Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument." Remote Sensing, http://doi.org/10.3390/rs11192280, 2019.
Published in The Cryosphere, 2020
Compares point-scale and regional-scale measurements of snow accumulation in southwest Greenland.
Heilig A, Eisen O, Schneebeli M, MacFerrin M, Stevens C, Vandecrux B, Steffen K, "Relating regional and point measurements of accumulation in southwest Greenland." The Cryosphere, http://doi.org/10.5194/tc-14-385-2020, 2020.
Published in Remote Sensing, 2020
Presents a fast atmospheric correction technique for retrieving snow albedo from satellite measurements.
Kokhanovsky A, Box J, Vandecrux B, Mankoff K, Lamare M, Smirnov A, Kern M, "The Determination of Snow Albedo from Satellite Measurements Using Fast Atmospheric Correction Technique." Remote Sensing, http://doi.org/10.3390/rs12020234, 2020.
Published in Journal of Glaciology, 2020
Tracks how firn cold content, a buffer against surface melt, evolved at nine Greenland ice sheet sites between 1998 and 2017.
Vandecrux B, Fausto R, As D, Colgan W, Langen P, Haubner K, Ingeman-Nielsen T, Heilig A, Stevens C, MacFerrin M, Niwano M, Steffen K, Box J, "Firn cold content evolution at nine sites on the Greenland ice sheet between 1998 and 2017." Journal of Glaciology, http://doi.org/10.1017/jog.2020.30, 2020.
Published in The Cryosphere, 2020
Compares nine firn models’ ability to simulate meltwater retention (RetMIP) at four Greenland ice sheet weather station sites.
Vandecrux B, Mottram R, Langen P, Fausto R, Olesen M, Stevens C, Verjans V, Leeson A, Ligtenberg S, Kuipers P, Marchenko S, Pelt W, Meyer C, Simonsen S, Heilig A, Samimi S, Marshall S, Machguth H, MacFerrin M, Niwano M, Miller O, Voss C, Box J, "The firn meltwater Retention Model Intercomparison Project (RetMIP): evaluation of nine firn models at four weather station sites on the Greenland ice sheet." The Cryosphere, http://doi.org/10.5194/tc-14-3785-2020, 2020.
Published in Frontiers in Earth Science, 2021
Models firn evolution at Camp Century from 1966 to 2100 to track how deep the site’s buried Cold War-era waste is likely to remain.
Vandecrux B, Colgan W, Solgaard A, Steffensen J, Karlsson N, "Firn Evolution at Camp Century, Greenland: 1966–2100." Frontiers in Earth Science, http://doi.org/10.3389/feart.2021.578978, 2021.
Published in Geophysical Research Letters, 2021
Presents present-day rainfall climatology over the Greenland ice sheet from a high-resolution regional climate model.
Niwano M, Box J, Wehrlé A, Vandecrux B, Colgan W, Cappelen J, "Rainfall on the Greenland Ice Sheet: Present‐Day Climatology From a High‐Resolution Non‐Hydrostatic Polar Regional Climate Model." Geophysical Research Letters, http://doi.org/10.1029/2021GL092942, 2021.
Published in Earth System Science Data, 2021
Describes the PROMICE automatic weather station network and its processed dataset for monitoring the Greenland ice sheet.
Fausto R, As D, Mankoff K, Vandecrux B, Citterio M, Ahlstrøm A, Andersen S, Colgan W, Karlsson N, Kjeldsen K, Korsgaard N, Larsen S, Nielsen S, Pedersen A, Shields C, Solgaard A, Box J, "Programme for Monitoring of the Greenland Ice Sheet (PROMICE) automatic weather station data." Earth System Science Data, http://doi.org/10.5194/essd-13-3819-2021, 2021.
Published in The Cryosphere, 2021
Examines how subsurface firn processes and large-scale atmospheric circulation affect downscaled Antarctic surface mass balance estimates.
Hansen N, Langen P, Boberg F, Forsberg R, Simonsen S, Thejll P, Vandecrux B, Mottram R, "Downscaled surface mass balance in Antarctica: impacts of subsurface processes and large-scale atmospheric circulation." The Cryosphere, http://doi.org/10.5194/tc-15-4315-2021, 2021.
Published in Journal of Geophysical Research: Earth Surface, 2021
Uses time-domain reflectometry sensors and modeling to study meltwater infiltration into firn at DYE-2, Greenland.
Samimi S, Marshall S, Vandecrux B, MacFerrin M, "Time‐Domain Reflectometry Measurements and Modeling of Firn Meltwater Infiltration at DYE‐2, Greenland." Journal of Geophysical Research: Earth Surface, http://doi.org/10.1029/2021JF006295, 2021.
Published in Remote Sensing, 2022
Retrieves snow optical grain diameter and maps snowmelt extent on the Greenland ice sheet from spaceborne optical observations.
Vandecrux B, Box J, Wehrlé A, Kokhanovsky A, Picard G, Niwano M, Hörhold M, Faber A, Steen-Larsen H, "The Determination of the Snow Optical Grain Diameter and Snowmelt Area on the Greenland Ice Sheet Using Spaceborne Optical Observations." Remote Sensing, http://doi.org/10.3390/rs14040932, 2022.
Published in Earth System Science Data, 2022
Presents the FirnCover dataset of firn compaction and temperature measurements collected on the Greenland ice sheet between 2013 and 2019.
MacFerrin M, Stevens C, Vandecrux B, Waddington E, Abdalati W, "The Greenland Firn Compaction Verification and Reconnaissance (FirnCover) dataset, 2013–2019." Earth System Science Data, http://doi.org/10.5194/essd-14-955-2022, 2022.
Published in Nature Communications, 2022
Shows across a large network of Arctic sites that vegetation type strongly shapes the summer land surface energy budget.
Oehri J, Schaepman-Strub G, Kim J, Grysko R, Kropp H, Grünberg I, Zemlianskii V, Sonnentag O, Euskirchen E, Reji M, Muscari G, Blanken P, Dean J, Sarra A, Harding R, Sobota I, Kutzbach L, Plekhanova E, Riihelä A, Boike J, Miller N, Beringer J, López-Blanco E, Stoy P, Sullivan R, Kejna M, Parmentier F, Gamon J, Mastepanov M, Wille C, Jackowicz-Korczynski M, Karger D, Quinton W, Putkonen J, As D, Christensen T, Hakuba M, Stone R, Metzger S, Vandecrux B, Frost G, Wild M, Hansen B, Meloni D, Domine F, Beest M, Sachs T, Kalhori A, Rocha A, Williamson S, Morris S, Atchley A, Essery R, Runkle B, Holl D, Riihimaki L, Iwata H, Schuur E, Cox C, Grachev A, McFadden J, Fausto R, Göckede M, Ueyama M, Pirk N, Boer G, Bret-Harte M, Leppäranta M, Steffen K, Friborg T, Ohmura A, Edgar C, Olofsson J, Chambers S, "Vegetation type is an important predictor of the arctic summer land surface energy budget." Nature Communications, http://doi.org/10.1038/s41467-022-34049-3, 2022.
Published in Remote Sensing, 2022
Improves the atmospheric correction and snow impurity load estimation used to retrieve snow and ice properties from Sentinel-3’s OLCI.
Kokhanovsky A, Vandecrux B, Wehrlé A, Danne O, Brockmann C, Box J, "An Improved Retrieval of Snow and Ice Properties Using Spaceborne OLCI/S-3 Spectral Reflectance Measurements: Updated Atmospheric Correction and Snow Impurity Load Estimation." Remote Sensing, http://doi.org/10.3390/rs15010077, 2022.
Published in Scientific Reports, 2023
Revisits Alfred Wegener’s century-old field observations in West Greenland to quantify a hundred years of climate change.
Abermann J, Vandecrux B, Scher S, Löffler K, Schalamon F, Trügler A, Fausto R, Schöner W, "Learning from Alfred Wegener’s pioneering field observations in West Greenland after a century of climate change." Scientific Reports, http://doi.org/10.1038/s41598-023-33225-9, 2023.
Published in Journal of Open Source Software, 2023
Introduces pypromice, the open-source Python package used to process PROMICE and GC-Net automated weather station data.
How P, Wright P, Mankoff K, Vandecrux B, Fausto R, Ahlstrøm A, "pypromice: A Python package for processing automated weather station data." Journal of Open Source Software, http://doi.org/10.21105/joss.05298, 2023.
Published in Earth System Science Data, 2023
Curates and augments three decades of historical GC-Net weather station records into a standardized, quality-controlled Level 1 dataset.
Vandecrux B, Box J, Ahlstrøm A, Andersen S, Bayou N, Colgan W, Cullen N, Fausto R, Haas-Artho D, Heilig A, Houtz D, How P, Iosifescu I, Karlsson N, Kurup R, Mankoff K, McGrath D, Molotch N, Perren B, Revheim M, Rutishauser A, Sampson K, Schneebeli M, Starkweather S, Steffen S, Weber J, Wright P, Zwally H, Steffen K, "The historical Greenland Climate Network (GC-Net) curated and augmented level-1 dataset." Earth System Science Data, http://doi.org/10.5194/essd-15-5467-2023, 2023.
Published in The Cryosphere, 2024
Documents century-scale firn and ice warming trends on the Greenland ice sheet using historical temperature records and machine learning.
Vandecrux B, Fausto R, Box J, Covi F, Hock R, Rennermalm Å, Heilig A, Abermann J, As D, Bjerre E, Fettweis X, Smeets P, Kuipers P, Broeke M, Brils M, Langen P, Mottram R, Ahlstrøm A, "Recent warming trends of the Greenland ice sheet documented by historical firn and ice temperature observations and machine learning." The Cryosphere, http://doi.org/10.5194/tc-18-609-2024, 2024.
Published in The Cryosphere, 2024
Maps the internal layering of Greenland’s firn from 2011 to 2019 using airborne radar and laser altimetry.
Rutishauser A, Scanlan K, Vandecrux B, Karlsson N, Jullien N, Ahlstrøm A, Fausto R, How P, "Mapping the vertical heterogeneity of Greenland’s firn from 2011–2019 using airborne radar and laser altimetry." The Cryosphere, http://doi.org/10.5194/tc-18-2455-2024, 2024.
Published in The Cryosphere, 2025
Retrieves and validates seasonal liquid water amounts in the Greenland ice sheet’s percolation zone using L-band radiometry.
Hossan A, Colliander A, Vandecrux B, Schlegel N-J, Harper J, Marshall S, Miller JZ, “Retrieval and validation of total seasonal liquid water amounts in the percolation zone of the Greenland ice sheet using L-band radiometry.” The Cryosphere, 19, 4237–4258, https://doi.org/10.5194/tc-19-4237-2025 , 2025.
Published in Remote Sensing of Environment, 2026
Estimates the depth of subsurface liquid water in the Greenland ice sheet using multi-frequency passive microwave remote sensing, radiative transfer modeling, and machine learning.
Vandecrux B, Picard G, Zeiger P, Leduc-Leballeur M, Colliander A, Hossan A, Ahlstrøm A, “Estimating the upper depth of subsurface water on the Greenland Ice Sheet using multi-frequency passive microwave remote sensing, radiative transfer modeling, and machine learning.” Remote Sensing of Environment, 334, 115197, https://doi.org/10.1016/j.rse.2025.115197 , 2026.
| PROMICE | GC-NET automatic weather station data |
Published in Earth System Science Data, 2026
Describes the merged PROMICE and GC-Net automatic weather station network and its combined dataset for the Greenland ice sheet.
| Fausto RS, How P, Vandecrux B, Lund MC, Box JE, Mankoff KD, Andersen SB, van As D, Bahbah R, Citterio M, Colgan W, Jakobsgaard HT, Karlsson NB, Kjeldsen KK, Larsen SH, Olsen C, Oraschewski FM, Rutishauser A, Shields CL, Solgaard AM, Stevens IT, Svendsen SH, Langley K, Messerli A, Bjørk AA, Andersen JK, Abermann J, Steiner J, Prinz R, Hynek B, Lea JM, Brough S, Ahlstrøm AP, “PROMICE | GC-NET automatic weather station data.” Earth System Science Data, 18, 2829–2873, https://doi.org/10.5194/essd-18-2829-2026 , 2026. |
Published in The Cryosphere, 2026
Produces bias-adjusted monthly maps of snow accumulation across Greenland spanning 1960 to 2022.
Lindsey-Clark J, Grinsted A, Vandecrux B, Schøtt Hvidberg C, “Greenland Monthly Accumulation Maps (1960–2022): A Statistical Semi-Empirical Bias-Adjustment Model.” The Cryosphere, 20, 1463–1495, https://doi.org/10.5194/tc-20-1463-2026 , 2026.
Published in The Cryosphere, 2026
Applies a state-space model to CryoSat-2 altimetry to monitor surface elevation change across the Greenland ice sheet.
Andersen N, Simonsen S, Nielsen K, Winstrup M, Vandecrux B, Gao H, Csatho B, Schenk A, Sandberg Sørensen L, “A State-Space Model for Monitoring Greenland Ice Sheet Surface Elevation Change from CryoSat-2.” The Cryosphere, 20, 4327–4344, https://doi.org/10.5194/tc-20-4327-2026 , 2026.