Articles | Volume 28, issue 3
https://doi.org/10.5194/hess-28-459-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-459-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Feb 2024
Research article |
| 07 Feb 2024
| 07 Feb 2024
The application and modification of WRF-Hydro/Glacier to a cold-based Antarctic glacier
Tamara Pletzer
CORRESPONDING AUTHOR
School of Geography, University of Otago, Ōtepoti/Dunedin, New Zealand
Jonathan P. Conway
National Institute of Water and Atmospheric Research, Lauder, New Zealand
Nicolas J. Cullen
School of Geography, University of Otago, Ōtepoti/Dunedin, New Zealand
Trude Eidhammer
NSF National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307, USA
Marwan Katurji
School of Earth and Environment, University of Canterbury, Ōtautahi/Christchurch, New Zealand
Related authors
No articles found.
Ci Song, Daniel T. McCoy, Isabel L. McCoy, Hunter Brown, Andrew Gettelman, Trude Eidhammer, and Donifan Barahona
EGUsphere, https://doi.org/10.5194/egusphere-2025-2009, https://doi.org/10.5194/egusphere-2025-2009, 2025
Short summary
Short summary
This study examines how aerosols from human activities alter cloud microphysical properties. Airborne observations from a field campaign are used to constrain an ensemble of global model configurations and their associated cloud property changes. Results show that airborne in-situ measurements of aerosol and cloud properties do provide insight into global changes in cloud microphysics but are sensitive to uncertainties in both airborne measurements and Earth system model emulators.
August Mikkelsen, Daniel T. McCoy, Trude Eidhammer, Andrew Gettelman, Ci Song, Hamish Gordon, and Isabel L. McCoy
Atmos. Chem. Phys., 25, 4547–4570, https://doi.org/10.5194/acp-25-4547-2025, https://doi.org/10.5194/acp-25-4547-2025, 2025
Short summary
Short summary
Whether increased aerosol increases or decreases liquid cloud mass has been a longstanding question. Observed correlations suggest that aerosols thin liquid cloud, but we are able to show that observations were consistent with an increase in liquid cloud in response to aerosols by leveraging a model where causality could be traced.
Trude Eidhammer, Andrew Gettelman, Katherine Thayer-Calder, Duncan Watson-Parris, Gregory Elsaesser, Hugh Morrison, Marcus van Lier-Walqui, Ci Song, and Daniel McCoy
Geosci. Model Dev., 17, 7835–7853, https://doi.org/10.5194/gmd-17-7835-2024, https://doi.org/10.5194/gmd-17-7835-2024, 2024
Short summary
Short summary
We describe a dataset where 45 parameters related to cloud processes in the Community Earth System Model version 2 (CESM2) Community Atmosphere Model version 6 (CAM6) are perturbed. Three sets of perturbed parameter ensembles (263 members) were created: current climate, preindustrial aerosol loading and future climate with sea surface temperature increased by 4 K.
Dongqi Lin, Jiawei Zhang, Basit Khan, Marwan Katurji, and Laura E. Revell
Geosci. Model Dev., 17, 815–845, https://doi.org/10.5194/gmd-17-815-2024, https://doi.org/10.5194/gmd-17-815-2024, 2024
Short summary
Short summary
GEO4PALM is an open-source tool to generate static input for the Parallelized Large-Eddy Simulation (PALM) model system. Geospatial static input is essential for realistic PALM simulations. However, existing tools fail to generate PALM's geospatial static input for most regions. GEO4PALM is compatible with diverse geospatial data sources and provides access to free data sets. In addition, this paper presents two application examples, which show successful PALM simulations using GEO4PALM.
Baptiste Vandecrux, Jason E. Box, Andreas P. Ahlstrøm, Signe B. Andersen, Nicolas Bayou, William T. Colgan, Nicolas J. Cullen, Robert S. Fausto, Dominik Haas-Artho, Achim Heilig, Derek A. Houtz, Penelope How, Ionut Iosifescu Enescu, Nanna B. Karlsson, Rebecca Kurup Buchholz, Kenneth D. Mankoff, Daniel McGrath, Noah P. Molotch, Bianca Perren, Maiken K. Revheim, Anja Rutishauser, Kevin Sampson, Martin Schneebeli, Sandy Starkweather, Simon Steffen, Jeff Weber, Patrick J. Wright, Henry Jay Zwally, and Konrad Steffen
Earth Syst. Sci. Data, 15, 5467–5489, https://doi.org/10.5194/essd-15-5467-2023, https://doi.org/10.5194/essd-15-5467-2023, 2023
Short summary
Short summary
The Greenland Climate Network (GC-Net) comprises stations that have been monitoring the weather on the Greenland Ice Sheet for over 30 years. These stations are being replaced by newer ones maintained by the Geological Survey of Denmark and Greenland (GEUS). The historical data were reprocessed to improve their quality, and key information about the weather stations has been compiled. This augmented dataset is available at https://doi.org/10.22008/FK2/VVXGUT (Steffen et al., 2022).
Dongqi Lin, Marwan Katurji, Laura E. Revell, Basit Khan, and Andrew Sturman
Atmos. Chem. Phys., 23, 14451–14479, https://doi.org/10.5194/acp-23-14451-2023, https://doi.org/10.5194/acp-23-14451-2023, 2023
Short summary
Short summary
Accurate fog forecasting is difficult in a complex environment. Spatial variations in soil moisture could impact fog. Here, we carried out fog simulations with spatially different soil moisture in complex topography. The soil moisture was calculated using satellite observations. The results show that the spatial variations in soil moisture do not have a significant impact on where fog occurs but do impact how long fog lasts. This finding could improve fog forecasts in the future.
Andrew Gettelman, Hugh Morrison, Trude Eidhammer, Katherine Thayer-Calder, Jian Sun, Richard Forbes, Zachary McGraw, Jiang Zhu, Trude Storelvmo, and John Dennis
Geosci. Model Dev., 16, 1735–1754, https://doi.org/10.5194/gmd-16-1735-2023, https://doi.org/10.5194/gmd-16-1735-2023, 2023
Short summary
Short summary
Clouds are a critical part of weather and climate prediction. In this work, we document updates and corrections to the description of clouds used in several Earth system models. These updates include the ability to run the scheme on graphics processing units (GPUs), changes to the numerical description of precipitation, and a correction to the ice number. There are big improvements in the computational performance that can be achieved with GPU acceleration.
Marte G. Hofsteenge, Nicolas J. Cullen, Carleen H. Reijmer, Michiel van den Broeke, Marwan Katurji, and John F. Orwin
The Cryosphere, 16, 5041–5059, https://doi.org/10.5194/tc-16-5041-2022, https://doi.org/10.5194/tc-16-5041-2022, 2022
Short summary
Short summary
In the McMurdo Dry Valleys (MDV), foehn winds can impact glacial meltwater production and the fragile ecosystem that depends on it. We study these dry and warm winds at Joyce Glacier and show they are caused by a different mechanism than that found for nearby valleys, demonstrating the complex interaction of large-scale winds with the mountains in the MDV. We find that foehn winds increase sublimation of ice, increase heating from the atmosphere, and increase the occurrence and rates of melt.
Benjamin Schumacher, Marwan Katurji, Jiawei Zhang, Peyman Zawar-Reza, Benjamin Adams, and Matthias Zeeman
Atmos. Meas. Tech., 15, 5681–5700, https://doi.org/10.5194/amt-15-5681-2022, https://doi.org/10.5194/amt-15-5681-2022, 2022
Short summary
Short summary
This investigation presents adaptive thermal image velocimetry (A-TIV), a newly developed algorithm to spatially measure near-surface atmospheric velocities using an infrared camera mounted on uncrewed aerial vehicles. A validation and accuracy assessment of the retrieved velocity fields shows the successful application of the algorithm over short-cut grass and turf surfaces in dry conditions. This provides new opportunities for atmospheric scientists to study surface–atmosphere interactions.
Jonathan P. Conway, Jakob Abermann, Liss M. Andreassen, Mohd Farooq Azam, Nicolas J. Cullen, Noel Fitzpatrick, Rianne H. Giesen, Kirsty Langley, Shelley MacDonell, Thomas Mölg, Valentina Radić, Carleen H. Reijmer, and Jean-Emmanuel Sicart
The Cryosphere, 16, 3331–3356, https://doi.org/10.5194/tc-16-3331-2022, https://doi.org/10.5194/tc-16-3331-2022, 2022
Short summary
Short summary
We used data from automatic weather stations on 16 glaciers to show how clouds influence glacier melt in different climates around the world. We found surface melt was always more frequent when it was cloudy but was not universally faster or slower than under clear-sky conditions. Also, air temperature was related to clouds in opposite ways in different climates – warmer with clouds in cold climates and vice versa. These results will help us improve how we model past and future glacier melt.
Aubrey Miller, Pascal Sirguey, Simon Morris, Perry Bartelt, Nicolas Cullen, Todd Redpath, Kevin Thompson, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 22, 2673–2701, https://doi.org/10.5194/nhess-22-2673-2022, https://doi.org/10.5194/nhess-22-2673-2022, 2022
Short summary
Short summary
Natural hazard modelers simulate mass movements to better anticipate the risk to people and infrastructure. These simulations require accurate digital elevation models. We test the sensitivity of a well-established snow avalanche model (RAMMS) to the source and spatial resolution of the elevation model. We find key differences in the digital representation of terrain greatly affect the simulated avalanche results, with implications for hazard planning.
Trude Eidhammer, Adam Booth, Sven Decker, Lu Li, Michael Barlage, David Gochis, Roy Rasmussen, Kjetil Melvold, Atle Nesje, and Stefan Sobolowski
Hydrol. Earth Syst. Sci., 25, 4275–4297, https://doi.org/10.5194/hess-25-4275-2021, https://doi.org/10.5194/hess-25-4275-2021, 2021
Short summary
Short summary
We coupled a detailed snow–ice model (Crocus) to represent glaciers in the Weather Research and Forecasting (WRF)-Hydro model and tested it on a well-studied glacier. Several observational systems were used to evaluate the system, i.e., satellites, ground-penetrating radar (used over the glacier for snow depth) and stake observations for glacier mass balance and discharge measurements in rivers from the glacier. Results showed improvements in the streamflow projections when including the model.
Dongqi Lin, Basit Khan, Marwan Katurji, Leroy Bird, Ricardo Faria, and Laura E. Revell
Geosci. Model Dev., 14, 2503–2524, https://doi.org/10.5194/gmd-14-2503-2021, https://doi.org/10.5194/gmd-14-2503-2021, 2021
Short summary
Short summary
We present an open-source toolbox WRF4PALM, which enables weather dynamics simulation within urban landscapes. WRF4PALM passes meteorological information from the popular Weather Research and Forecasting (WRF) model to the turbulence-resolving PALM model system 6.0. WRF4PALM can potentially extend the use of WRF and PALM with realistic boundary conditions to any part of the world. WRF4PALM will help study air pollution dispersion, wind energy prospecting, and high-impact wind forecasting.
John J. Cassano, Melissa A. Nigro, Mark W. Seefeldt, Marwan Katurji, Kelly Guinn, Guy Williams, and Alice DuVivier
Earth Syst. Sci. Data, 13, 969–982, https://doi.org/10.5194/essd-13-969-2021, https://doi.org/10.5194/essd-13-969-2021, 2021
Short summary
Short summary
Between January 2012 and June 2017, a small unmanned aerial system (sUAS), or drone, known as the Small Unmanned Meteorological Observer (SUMO), was used to observe the lowest 1000 m of the Antarctic atmosphere. During six Antarctic field campaigns, 116 SUMO flights were completed. These flights took place during all seasons over both permanent ice and ice-free locations on the Antarctic continent and over sea ice in the western Ross Sea providing unique observations of the Antarctic atmosphere.
Angus J. Dowson, Pascal Sirguey, and Nicolas J. Cullen
The Cryosphere, 14, 3425–3448, https://doi.org/10.5194/tc-14-3425-2020, https://doi.org/10.5194/tc-14-3425-2020, 2020
Short summary
Short summary
Satellite observations over 19 years are used to characterise the spatial and temporal variability of surface albedo across the gardens of Eden and Allah, two of New Zealand’s largest ice fields. The variability in response of individual glaciers reveals the role of topographic setting and suggests that glaciers in the Southern Alps do not behave as a single climatic unit. There is evidence that the timing of the minimum surface albedo has shifted to later in the summer on 10 of the 12 glaciers.
Cited articles
Bergstrom, A., Gooseff, M. N., Myers, M., Doran, P. T., and Cross, J. M.: The seasonal evolution of albedo across glaciers and the surrounding landscape of Taylor Valley, Antarctica, The Cryosphere, 14, 769–788, https://doi.org/10.5194/tc-14-769-2020, 2020. a, b, c, d
Bergstrom, A., Gooseff, M., Fountain, A., and Hoffman, M.: Long-term shifts in feedbacks among glacier surface change, melt generation and runoff, McMurdo Dry Valleys, Antarctica, Hydrol. Process., 35, e14292, https://doi.org/10.1002/hyp.14292, 2021. a
Brandt, R. E. and Warren, S. G.: Solar-heating rates and temperature profiles in Antarctic snow and ice, J. Glaciol., 39, 99–110, https://doi.org/10.3189/S0022143000015756, 1993. a
Brun, E., Martin, E., Simon, V., Gendre, C., and Coleou, C.: An Energy and Mass Model of Snow Cover Suitable for Operational Avalanche Forecasting, J. Glaciol., 35, 333–342, https://doi.org/10.3189/s0022143000009254, 1989. a
Brun, E., David, P., Sudul, M., and Brunot, G.: A numerical model to simulate snow-cover stratigraphy for operational avalanche forecasting, J. Glaciol., 38, 13–22, https://doi.org/10.3189/s0022143000009552, 1992. a, b
Brun, E., Six, D., Picard, G., Vionnet, V., Arnaud, L., Bazile, E., Boone, A., Bouchard, A., Genthon, C., Guidard, V., Le Moigne, P., Rabier, F., and Seity, Y.: Snow/atmosphere coupled simulation at Dome C, Antarctica, J. Glaciol., 57, 721–736, https://doi.org/10.3189/002214311797409794, 2011. a
Cross, J. M., Fountain, A. G., Hoffman, M. J., and Obryk, M. K.: Physical Controls on the Hydrology of Perennially Ice-Covered Lakes, Taylor Valley, Antarctica (1996–2013), J. Geophys. Res.-Earth, 127, e2022JF006833, https://doi.org/10.1029/2022JF006833, 2022. a, b, c
Dadic, R., Mullen, P. C., Schneebeli, M., Brandt, R. E., and Warren, S. G.: Effects of bubbles, cracks, and volcanic tephra on the spectral albedo of bare ice near the Transantarctic Mountains: Implications for sea glaciers on Snowball Earth, J. Geophys. Res.-Earth, 118, 1658–1676, https://doi.org/10.1002/jgrf.20098, 2013. a, b, c, d, e, f
Doran, P. and Fountain, A.: High frequency measurements from Commonwealth Glacier Meteorological Station (COHM), McMurdo Dry Valleys, Antarctica (1993–2021, ongoing), https://doi.org/10.6073/pasta/1fd2035c9efea9f105ecb1d 6212448cc, 2022. a, b
Eidhammer, T., Booth, A., Decker, S., Li, L., Barlage, M., Gochis, D., Rasmussen, R., Melvold, K., Nesje, A., and Sobolowski, S.: Mass balance and hydrological modeling of the Hardangerjøkulen ice cap in south-central Norway, Hydrol. Earth Syst. Sci., 25, 4275–4297, https://doi.org/10.5194/hess-25-4275-2021, 2021. a, b, c, d, e, f, g, h, i, j
Fitzsimons, S. J.: Formation of thrust-block moraines at the margins of dry-based glaciers, south Victoria Land, Antarctica, Ann. Glaciol., 22, 68–74, https://doi.org/10.3189/1996aog22-1-68-74, 1996. a
Fountain, A. G. and Doran, P. T.: Climatology of katabatic winds in the McMurdo dry valleys, southern Victoria Land, Antarctica, J. Geophys. Res., 109, 3114, https://doi.org/10.1029/2003JD003937, 2004. a
Fountain, A. G., Dana, G. L., Lewis, K. J., Vaughn, B. H., and Mcknight, D. H.: Glaciers of the Mcmurdo Dry Valleys, Southern Victoria Land, Antarctica, 65–75, https://doi.org/10.1029/ar072p0065, 1998. a, b
Fountain, A. G., Nylen, T. H., Monaghan, A., Basagic, H. J., and Bromwich, D.: Snow in the Mcmurdo Dry Valleys, Antarctica, Int. J. Climatol., 30, 633–642, https://doi.org/10.1002/joc.1933, 2010. a, b, c, d
Fountain, A. G., Basagic, H. J., and Niebuhr, S.: Glaciers in equilibrium, McMurdo Dry Valleys, Antarctica, J. Glaciol., 62, 976–989, https://doi.org/10.1017/jog.2016.86, 2016. a
Gerbaux, M., Genthon, C., Etchevers, P., Vincent, C., and Dedieu, J. P.: Surface mass balance of glaciers in the French Alps: Distributed modeling and sensitivity to climate change, J. Glaciol., 51, 561–572, https://doi.org/10.3189/172756505781829133, 2005. a
Gillett, S. and Cullen, N. J.: Atmospheric controls on summer ablation over Brewster Glacier, New Zealand, Int. J. Climatol., 31, 2033–2048, https://doi.org/10.1002/JOC.2216, 2011. a
Gochis, D. J., Barlage, M., Cabell, R., Casali, M., Dugger, A., Fitzgerald, K., Mcallister, M., Mccreight, J., Rafieeinasab, A., Read, L., Sampson, K., Yates, D., and Zhang, Y.: The NCAR WRF-Hydro® Modeling System Technical Description v5.1.1, Tech. rep., NCAR, https://ral.ucar.edu/projects/wrf_hydro/documentation/wrf-hydro-v511-documentation (last access: 24 January 2024), 2020. a, b
Gooseff, M. and Mcknight, D.: Seasonal high-frequency measurements of discharge, water temperature, and specific conductivity from Lost Seal Stream at F3, McMurdo Dry Valleys, Antarctica (1993–2020, ongoing), EDI Data Portal [data set], https://doi.org/10.6073/pasta/982b027e0ed7a1854c22 de1396348362, 2021. a, b, c
Gooseff, M. N., McKnight, D. M., Doran, P., Fountain, A. G., and Lyons, W. B.: Hydrological connectivity of the landscape of the McMurdo Dry Valleys, Antarctica, Geography Compass, 5, 666–681, https://doi.org/10.1111/j.1749-8198.2011.00445.x, 2011. a, b, c, d
Gooseff, M. N., Wlostowski, A., McKnight, D. M., and Jaros, C.: Hydrologic connectivity and implications for ecosystem processes – Lessons from naked watersheds, Geomorphology, 277, 63–71, https://doi.org/10.1016/j.geomorph.2016.04.024, 2017. a
Gooseff, M. N., McKnight, D. M., Doran, P. T., and Fountain, A.: Long-term stream hydrology and meteorology of a Polar Desert, the McMurdo Dry Valleys, Antarctica, Hydrol. Process., 36, e14623, https://doi.org/10.1002/hyp.14623, 2022. a
Hoffman, M.: Spatial and Temporal Variability of Glacier Melt in Spatial and Temporal Variability of Glacier Melt in the McMurdo Dry Valleys, Antarctica the McMurdo Dry Valleys, Antarctica, Ph.D. thesis, Portland State University, Portland, https://doi.org/10.15760/etd.744, 2011. a, b, c, d, e, f, g, h, i
Hoffman, M. J., Fountain, A. G., and Liston, G. E.: Surface energy balance and melt thresholds over 11 years at Taylor Glacier, Antarctica, J. Geophys. Res.-Earth, 113, F04014, https://doi.org/10.1029/2008JF001029, 2008. a
Hofsteenge, M. G., Cullen, N. J., Reijmer, C. H., van den Broeke, M., Katurji, M., and Orwin, J. F.: The surface energy balance during foehn events at Joyce Glacier, McMurdo Dry Valleys, Antarctica, The Cryosphere, 16, 5041–5059, https://doi.org/10.5194/tc-16-5041-2022, 2022. a, b
Hofsteenge, M. G., Cullen, N. J., Reijmer, C. H., Van Den Broeke, M., and Katurji, M.: Meteorological drivers of melt for two nearby glaciers in the McMurdo Dry Valleys of Antarctica, J. Glaciol., 98, 1–13, https://doi.org/10.1017/jog.2023.98, 2023. a
Kerandi, N., Arnault, J., Laux, P., Wagner, S., Kitheka, J., and Kunstmann, H.: Joint atmospheric-terrestrial water balances for East Africa: a WRF-Hydro case study for the upper Tana River basin, Theor. Appl. Climatol., 131, 1337–1355, https://doi.org/10.1007/s00704-017-2050-8, 2018. a
Kirchner, J. W.: Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology, Water Resour. Res., 42, W03S04, https://doi.org/10.1029/2005WR004362, 2006. a
Lahmers, T., Kumar, S., Dugger, A., Gochis, D., and Santanello, J.: Impacts of wildfires on the 2020 floods in southeast Australia: A vegetation data-assimilation case study using the NASA coupled LIS/WRF-Hydro system, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-9006, https://doi.org/10.5194/egusphere-egu21-9006, 2021. a
Lee, J. R., Raymond, B., Bracegirdle, T. J., Chadès, I., Fuller, R. A., Shaw, J. D., and Terauds, A.: Climate change drives expansion of Antarctic ice-free habitat, Nature, 547, 49–54, https://doi.org/10.1038/nature22996, 2017. a
Li, L., Gochis, D. J., Sobolowski, S., and Mesquita, M. D.: Evaluating the present annual water budget of a Himalayan headwater river basin using a high-resolution atmosphere-hydrology model, J. Geophys. Res., 122, 4786–4807, https://doi.org/10.1002/2016JD026279, 2017. a
Macdonell, S. A., Fitzsimons, S. J., and Mölg, T.: Seasonal sediment fluxes forcing supraglacial melting on the Wright Lower Glacier, McMurdo Dry Valleys, Antarctica, Hydrol. Process., 27, 3192–3207, https://doi.org/10.1002/hyp.9444, 2013. a, b
Myers, M. E., Doran, P. T., and Myers, K. F.: Valley-floor snowfall in Taylor Valley, Antarctica, from 1995 to 2017: Spring, summer and autumn, Antarct. Sci., 34, 325–335, https://doi.org/10.1017/S0954102022000256, 2022. a
Nylen, T. H., Fountain, A. G., and Doran, P. T.: Climatology of katabatic winds in the McMurdo dry valleys, southern Victoria Land, Antarctica, J. Geophys. Res.-Atmos., 109, D03114, https://doi.org/10.1029/2003JD003937, 2004. a
Obryk, M. K., Doran, P. T., Fountain, A. G., Myers, M., and McKay, C. P.: Climate From the McMurdo Dry Valleys, Antarctica, 1986–2017: Surface Air Temperature Trends and Redefined Summer Season, J. Geophys. Res.-Atmos., 125, e2019JD032180, https://doi.org/10.1029/2019JD032180, 2020. a, b
Pal, S., Dominguez, F., Dillon, M. E., Alvarez, J., Garcia, C. M., Nesbitt, S. W., and Gochis, D.: Hydrometeorological Observations and Modeling of an Extreme Rainfall Event Using WRF and WRF-Hydro during the RELAMPAGO Field Campaign in Argentina, J. Hydrometeorol., 22, 331–351, https://doi.org/10.1175/JHM-D-20-0133.1, 2021. a
Pletzer, T.: Model configuration and data used in “The application and modification of WRF-Hydro/Glacier to a cold-based Antarctic glacier”, Zenodo [data set], https://doi.org/10.5281/zenodo.10565032, 2024.
Reijmer, C. H., Bintanja, R., and Greuell, W.: Surface albedo measurements over snow and blue ice in thematic mapper bands 2 and 4 in Dronning Maud Land, Antarctica, J. Geophys. Res.-Atmos., 106, 9661–9672, https://doi.org/10.1029/2000JD900718, 2001. a
Senatore, A., Mendicino, G., Gochis, D. J., Yu, W., Yates, D. N., and Kunstmann, H.: Fully coupled atmosphere-hydrology simulations for the central Mediterranean: Impact of enhanced hydrological parameterization for short and long time scales, J. Adv. Model. Earth Sy., 7, 1693–1715, https://doi.org/10.1002/2015MS000510, 2015. a
Shafqat Mehboob, M., Kim, Y., Lee, J., and Eidhammer, T.: Quantifying the sources of uncertainty for hydrological predictions with WRF-Hydro over the snow-covered region in the Upper Indus Basin, Pakistan, J. Hydrol., 614, 128500, https://doi.org/10.1016/j.jhydrol.2022.128500, 2022. a
Singley, J. G., Gooseff, M. N., McKnight, D. M., and Hinckley, E. S.: The Role of Hyporheic Connectivity in Determining Nitrogen Availability: Insights From an Intermittent Antarctic Stream, J. Geophys. Res.-Biogeo., 126, e2021JG006309, https://doi.org/10.1029/2021JG006309, 2021. a
Speirs, J. C., Steinhoff, D. F., McGowan, H. A., Bromwich, D. H., and Monaghan, A. J.: Foehn winds in the McMurdo Dry Valleys, Antarctica: The origin of extreme warming events, J. Climate, 23, 3577–3598, https://doi.org/10.1175/2010JCLI3382.1, 2010. a
Steinhoff, D. F., Bromwich, D. H., and Monaghan, A.: Dynamics of the foehn mechanism in the Mcmurdo Dry Valleys of Antarctica from polar WRF, Q. J. Roy. Meteor. Soc., 139, 1615–1631, https://doi.org/10.1002/qj.2038, 2013. a
Van Den Broeke, M., Van As, D., and Reijmer, C.: Assessing and Improving the Quality of Unattended Radiation Observations in Antarctica, J. Atmos. Ocean. Tech., 21, 1417–1431, 2004. a
Vionnet, V., Brun, E., Morin, S., Boone, A., Faroux, S., Le Moigne, P., Martin, E., and Willemet, J.-M.: The detailed snowpack scheme Crocus and its implementation in SURFEX v7.2, Geosci. Model Dev., 5, 773–791, https://doi.org/10.5194/gmd-5-773-2012, 2012. a, b, c
Warren, S. G.: Optical properties of snow, Rev. Geophys., 20, 67–89, https://doi.org/10.1029/RG020i001p00067, 1982. a, b, c
Xiang, T., Vivoni, E. R., Gochis, D. J., and Mascaro, G.: On the diurnal cycle of surface energy fluxes in the North American monsoon region using the WRF-Hydro modeling system, J. Geophys. Res.-Atmos., 122, 9024–9049, https://doi.org/10.1002/2017JD026472, 2017. a
Short summary
We applied a glacier and hydrology model in the McMurdo Dry Valleys (MDV) to model the start and duration of melt over a summer in this extreme polar desert. To do so, we found it necessary to prevent the drainage of melt into ice and optimize the albedo scheme. We show that simulating albedo (for the first time in the MDV) is critical to modelling the feedbacks of albedo, snowfall and melt in the region. This paper is a first step towards more complex spatial modelling of melt and streamflow.
We applied a glacier and hydrology model in the McMurdo Dry Valleys (MDV) to model the start and...
