Articles | Volume 10, issue 2
https://doi.org/10.5194/tc-10-727-2016
https://doi.org/10.5194/tc-10-727-2016
Research article
 | 
24 Mar 2016
Research article |  | 24 Mar 2016

A Retrospective, Iterative, Geometry-Based (RIGB) tilt-correction method for radiation observed by automatic weather stations on snow-covered surfaces: application to Greenland

Wenshan Wang, Charles S. Zender, Dirk van As, Paul C. J. P. Smeets, and Michiel R. van den Broeke

Related authors

Emulating the future distribution of perennial firn aquifers in Antarctica
Sanne B. M. Veldhuijsen, Willem Jan van de Berg, Peter Kuipers Munneke, Nicolaj Hansen, Fredrik Boberg, Christoph Kittel, Charles Amory, and Michiel R. van den Broeke
EGUsphere, https://doi.org/10.5194/egusphere-2024-2855,https://doi.org/10.5194/egusphere-2024-2855, 2024
Short summary
How well can satellite altimetry and firn models resolve Antarctic firn thickness variations?
Maria T. Kappelsberger, Martin Horwath, Eric Buchta, Matthias O. Willen, Ludwig Schröder, Sanne B. M. Veldhuijsen, Peter Kuipers Munneke, and Michiel R. van den Broeke
The Cryosphere, 18, 4355–4378, https://doi.org/10.5194/tc-18-4355-2024,https://doi.org/10.5194/tc-18-4355-2024, 2024
Short summary
Runoff from Greenland's firn area – why do MODIS, RCMs and a firn model disagree?
Horst Machguth, Andrew Tedstone, Peter Kuipers Munneke, Max Brils, Brice Noël, Nicole Clerx, Nicolas Jullien, Xavier Fettweis, and Michiel van den Broeke
EGUsphere, https://doi.org/10.5194/egusphere-2024-2750,https://doi.org/10.5194/egusphere-2024-2750, 2024
Short summary
First results of the polar regional climate model RACMO2.4
Christiaan T. van Dalum, Willem Jan van de Berg, Srinidhi N. Gadde, Maurice van Tiggelen, Tijmen van der Drift, Erik van Meijgaard, Lambertus H. van Ulft, and Michiel R. van den Broeke
The Cryosphere, 18, 4065–4088, https://doi.org/10.5194/tc-18-4065-2024,https://doi.org/10.5194/tc-18-4065-2024, 2024
Short summary
Firn air content changes on Antarctic ice shelves under three future warming scenarios
Sanne B. M. Veldhuijsen, Willem Jan van de Berg, Peter Kuipers Munneke, and Michiel R. van den Broeke
The Cryosphere, 18, 1983–1999, https://doi.org/10.5194/tc-18-1983-2024,https://doi.org/10.5194/tc-18-1983-2024, 2024
Short summary

Related subject area

Energy Balance Obs/Modelling
Brief Communication: Accurate and autonomous snow water equivalent measurements using a cosmic ray sensor on a Himalayan glacier
Navaraj Pokhrel, Patrick Wagnon, Fanny Brun, Arbindra Khadka, Tom Matthews, Audrey Goutard, Dibas Shrestha, Baker Perry, and Marion Réveillet
EGUsphere, https://doi.org/10.5194/egusphere-2024-1760,https://doi.org/10.5194/egusphere-2024-1760, 2024
Short summary
Surface heat fluxes at coarse blocky Murtèl rock glacier (Engadine, eastern Swiss Alps)
Dominik Amschwand, Martin Scherler, Martin Hoelzle, Bernhard Krummenacher, Anna Haberkorn, Christian Kienholz, and Hansueli Gubler
The Cryosphere, 18, 2103–2139, https://doi.org/10.5194/tc-18-2103-2024,https://doi.org/10.5194/tc-18-2103-2024, 2024
Short summary
Modeling snowpack dynamics and surface energy budget in boreal and subarctic peatlands and forests
Jari-Pekka Nousu, Matthieu Lafaysse, Giulia Mazzotti, Pertti Ala-aho, Hannu Marttila, Bertrand Cluzet, Mika Aurela, Annalea Lohila, Pasi Kolari, Aaron Boone, Mathieu Fructus, and Samuli Launiainen
The Cryosphere, 18, 231–263, https://doi.org/10.5194/tc-18-231-2024,https://doi.org/10.5194/tc-18-231-2024, 2024
Short summary
Evaluation of reanalysis data and dynamical downscaling for surface energy balance modeling at mountain glaciers in western Canada
Christina Draeger, Valentina Radić, Rachel H. White, and Mekdes Ayalew Tessema
The Cryosphere, 18, 17–42, https://doi.org/10.5194/tc-18-17-2024,https://doi.org/10.5194/tc-18-17-2024, 2024
Short summary
Brief communication: Surface energy balance differences over Greenland between ERA5 and ERA-Interim
Uta Krebs-Kanzow, Christian B. Rodehacke, and Gerrit Lohmann
The Cryosphere, 17, 5131–5136, https://doi.org/10.5194/tc-17-5131-2023,https://doi.org/10.5194/tc-17-5131-2023, 2023
Short summary

Cited articles

AIRS Science Team/Joao Texeira: Aqua AIRS Level 2 Support Retrieval (AIRS+AMSU), version 006, NASA Goddard Earth Science Data and Information Services Center (GES DISC), Greenbelt, MD, USA, https://doi.org/10.5067/AQUA/AIRS/DATA207, 2013.
Andersen, M., Stenseng, L., Skourup, H., Colgan, W., Khan, S., Kristensen, S., Andersen, S., Box, J., Ahlstrøm, A., Fettweis, X., and Forsberg, R.: Basin-scale partitioning of Greenland ice sheet mass balance components (2007–2011), Earth Planet. Sc. Lett., 409, 89–95, https://doi.org/10.1016/j.epsl.2014.10.015, 2015.
ARM (Atmospheric Radiation Measurement) Climate Research Facility: Data Quality Assessment for ARM Radiation Data (QCRAD1LONG). 2008-05-01 to 2013-05-31, 71.323 N 156.609 W: North Slope Alaska (NSA) Central Facility, Barrow AK (C1), Oak Ridge, Tennessee, USA, compiled by: Shi, Y. and Riihimaki, L., https://doi.org/10.5439/1027372, 1994.
Bais, A. F., Kazadzis, S., Balis, D., Zerefos, C. S., and Blumthaler, M.: Correcting global solar ultraviolet spectra recorded by a brewer spectroradiometer for its angular response error, Appl. Optics, 37, 6339–6344, https://doi.org/10.1364/AO.37.006339, 1998.
Biggs, W. W.: Principles of Radiation Measurement, in: Excerpted from: Advanced Agricultural Instrumentation, Proceedings from the NATO Advanced Study Institute on “Advanced Agricultural Instrumentation”, edited by: Gensler, W., Martinus Nijhof, Dordrecht, The Netherlands, 2 Edn., 1–17, https://doi.org/10.1016/B978-0-12-374271-1.00071-X, 2015.
Download
Short summary
We identify and correct station-tilt-induced biases in insolation observed by automatic weather stations on the Greenland Ice Sheet. Without tilt correction, only 40 % of clear days have the correct solar noon time (±0.5 h). The largest hourly bias exceeds 20 %. We estimate the tilt angles based on solar geometric relationship between insolation observed on horizontal surfaces and that on tilted surfaces, and produce shortwave radiation and albedo that agree better with independent data sets.