BLACK and BLOOM: variations in the albedo of the Greenland Ice Sheet as a result of interactions between microbes and particulates.

Lead Research Organisation: University of Bristol
Department Name: Geographical Sciences

Abstract

Concerns are growing about how much melting occurs on the surface of the Greenland Ice Sheet (GrIS), and how much this melting will contribute to sea level rise (1). It seems that the amount of melting is accelerating and that the impact on sea level rise is over 1 mm each year (2). This information is of concern to governmental policy makers around the world because of the risk to viability of populated coastal and low-lying areas. There is currently a great scientific need to predict the amount of melting that will occur on the surface of the GrIS over the coming decades (3), since the uncertainties are high. The current models which are used to predict the amount of melting in a warmer climate rely heavily on determining the albedo, the ratio of how reflective the snow cover and the ice surface are to incoming solar energy. Surfaces which are whiter are said to have higher albedo, reflect more sunlight and melt less. Surfaces which are darker adsorb more sunlight and so melt more. Just how the albedo varies over time depends on a number of factors, including how wet the snow and ice is. One important factor that has been missed to date is bio-albedo. Each drop of water in wet snow and ice contains thousands of tiny microorganisms, mostly algae and cyanobacteria, which are pigmented - they have a built in sunblock - to protect them from sunlight. These algae and cyanobacteria have a large impact on the albedo, lowering it significantly. They also glue together dust particles that are swept out of the air by the falling snow. These dust particles also contain soot from industrial activity and forest fires, and so the mix of pigmented microbes and dark dust at the surface produces a darker ice sheet. We urgently need to know more about the factors that lead to and limit the growth of the pigmented microbes. Recent work by our group in the darkest zone of the ice sheet surface in the SW of Greenland shows that the darkest areas have the highest numbers of cells. Were these algae to grow equally well in other areas of the ice sheet surface, then the rate of melting of the whole ice sheet would increase very quickly. A major concern is that there will be more wet ice surfaces for these microorganisms to grow in, and for longer, during a period of climate warming, and so the microorganisms will grow in greater numbers and over a larger area, lowering the albedo and increasing the amount of melt that occurs each year. The nutrient - plant food - that the microorganisms need comes from the ice crystals and dust on the ice sheet surface, and there are fears that increased N levels in snow and ice may contribute to the growth of the microorganisms. This project aims to be the first to examine the growth and spread of the microorganisms in a warming climate, and to incorporate biological darkening into models that predict the future melting of the GrIS.

References

1. Sasgen I and 8 others. Timing and origin of recent regional ice-mass loss in Greenland. Earth and Planetary Science Letters, 333-334, 293-303(2012).
2. Rignot, E., Velicogna, I., van den Broeke, M. R., Monaghan, A. & Lenaerts, J. Acceleration of the contribution of the Greenland and Antarctic ice sheets to sea level rise. Geophys. Res. Lett. 38, L05503, doi:10.1029/2011gl046583 (2011).
3. Milne, G. A., Gehrels, W. R., Hughes, C. W. & Tamisiea, M. E. Identifying the causes of sea-level change. Nature Geosci 2, 471-478 (2009).

Planned Impact

BLACK and BLOOM aims to make a major impact on the state of the science for melt prediction from the Greenland Ice Sheet. We are committed to contributing our experiences during the course of our project to the international community via IASC (International Arctic Science Committee). We will be disseminating our research results to the academic community also via publication in the top rated peer reviewed literature and international, national and local conference presentations. We will use the auspices of the Cabot Institute at the University of Bristol to bring our improved predictions of the rate of melting of the Greenland Ice Sheet to the attention of governmental and other policy makers. The Dark Snow Project, run by Project Partner Jason Box (GEUS), is well known to the public, and we will link our project web site to that of Dark Snow to aid outreach of our work to the general public. We will contribute to blogs and question and answer sessions when we are in the field via web links from Kangerlussuaq International Science Support (KISS). Hence, we aim to outreach to a broad spectrum of scientists, policy makers and the general public.

Publications

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Anesio AM (2017) The microbiome of glaciers and ice sheets. in NPJ biofilms and microbiomes

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Cook J (2018) Topographic shading influences cryoconite morphodynamics and carbon exchange in Arctic, Antarctic, and Alpine Research

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Cook J (2017) A predictive model for the spectral "bioalbedo" of snow in Journal of Geophysical Research: Earth Surface

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Dukhovskoy DS (2019) Role of Greenland Freshwater Anomaly in the Recent Freshening of the Subpolar North Atlantic. in Journal of geophysical research. Oceans

 
Description We have confirmed that biological effects are darkening the melting surface of the Greenland Ice Sheet. Papers have been published, that establish this claim.
Exploitation Route We have demonstrated that the current melt of the Greenland Ice Sheet is modeled without taking into account biological effects. These must be understood and included in future melt models.
Sectors Education,Government, Democracy and Justice

URL https://blackandbloom.org/
 
Description (DEEP PURPLE) - DEEP PURPLE: darkening of the Greenland Ice Sheet
Amount € 11,007,344 (EUR)
Funding ID 856416 
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 01/2020 
End 12/2025
 
Title BioSNICAR_1.0.0 
Description Initial public release of BioSNICAR codes 
Type Of Material Computer model/algorithm 
Year Produced 2017 
Provided To Others? Yes  
Impact n/a 
URL https://doi.org/10.5281/zenodo.1048811
 
Title Dark ice dynamics of the south-west Greenland Ice Sheet, 2000-2016 
Description Metrics of dark ice extent and duration, and snowline retreat estimates, for the south-west ablation zone of the Greenland Ice Sheet, derived from MODIS satellite imagery. These metrics are provided on a ~613 m grid at annual resolution and cover the melt season, defined as June-July-August each year. All scripts used to generate the metrics are also provided, as well as the scripts which generate the plots found in Tedstone et al. (2017, The Cryosphere). 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
 
Title Dissolved nutrient, carbon and algal abundance in the Dark Zone (Greenland Ice Sheet), July-August 2016 
Description Dissolved inorganic and organic nutrient concentrations, dissolved organic carbon concentrations and glacier algal cell abundance are quantified for supraglacial environments in the Dark Zone of the Greenland Ice Sheet during July and August 2016. Samples include surface ice with varying degrees of visible impurities, cryoconite hole water and supraglacial stream water. Surface ice samples are comprised of the top 2 cm of a 1x1 m ice surface area. Dissolved inorganic nitrogen (DIN), dissolved organic nitrogen (DON), dissolved inorganic phosphorus (DIP), dissolved organic phosphorus (DOP) and dissolved organic carbon (DOC) were quantified for all ice surface, supraglacial stream and cryoconite hole water samples collected. Glacier algae abundance was quantified for ice surface samples. Field blank corrections were conducted for all DIN, DON, DIP, DOP and DOC data. Any values resulting below the instrument limit of detection were considered to be 0. Funding was provided by the NERC 'Black and Bloom' grant NE/M021025/1 and the Marie Sklodowska-Curie grant agreement No 675546. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
 
Title Glacier algae cell counts from UPE_U, north-west Greenland, 26 July 2018 
Description This dataset consists of 75 destructive ice surface samples for which glacier algae cell counts were undertaken. The sample locations were distributed randomly over a 250 X 250 m area. Funding was provided by the NERC standard grant NE/M021025/1. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01289
 
Title Glacier algal abundance, photophysiology, pigmentation, bio-optical properties growth and impacts to albedo in the Greenland Ice Sheet Dark Zone, July-August 2016 
Description The abundance, photophysiology, pigmentation, bio-optical properties, cellular energy balance and instantaneous radiative forcing of glacier algal assemblages from the surface of the Greenland Ice Sheet (GrIS) are quantified throughout the 2016 ablation season. The effects of assemblages on ice surface albedo are further derived using a newly developed model of glacier algal blooms for the GrIS, radiative transfer modelling using BioSNICAR-GO, and comparisons to MODIS broadband albedo observations over the same season. Data represent a composite of in-situ observations, in-situ incubations studies, laboratory analyses, modelling and remote sensing. All in -situ work was performed at site S6 of the K-Transect in the southwestern GrIS ablation zone as part of the Black and Bloom project. Funding was provided by the NERC 'Black and Bloom' grant NE/M021025/1 and the Marie Sklodowska-Curie grant agreement No 675546. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01248
 
Title IceSurfClassifiers: post-peer-review 
Description Ice surface classifier code updated after manuscript acceptance at TC 
Type Of Material Data handling & control 
Year Produced 2019 
Provided To Others? Yes  
Impact n/a 
URL https://doi.org/10.5281/zenodo.3564529
 
Title Microbial communities (bacteria, algae, fungi) on the Greenland ice sheet 
Description The Greenland ice sheet is a crucial component of Earth's water and climate system and its surface represents the largest supraglacial ecosystem. Accelerated melt rates are increasingly contributing to sea level rise. Throughout the melt seasons glacial ice algae blooms are widespread in the so called dark zone, which is situated in the southwest of Greenland. Due to their pigmentation glacial ice algae lower the ice sheet albedo, and in turn enhance surface melting. Despite their crucial role in the ice sheet ecosystem, little is known about these algae and their associated microbiomes. Here we collected samples across a 100 km transect and from various habitats including high algal biomass ice, high algal biomass snow, biofilm, dispersed cryoconite (all macroscopically visible particles), and clean snow and clean ice (without macroscopically visible particles). The bacterial and eukaryotic (algae and fungi) community compositions were characterized using the 16S, 18S and ITS2 rRNA markers. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact n/a 
URL https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA564214
 
Title Modele Atmospherique Regionale (MAR) v3.6.2 Regional Climate Model daily outputs over the Greenland Ice Sheet, forced by ERA-Interim, 2000-2016 
Description Daily outputs on a 7.5 km horizontal resolution grid covering the Greenland Ice Sheet from MARv3.6.2, which is a regional climate model developed for the Polar regions that solves the regional climate and ice sheet surface mass balance. MAR was forced by ERA-Interim re-analysis data. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
 
Title Multi-spectral unmanned aerial system imagery, S6, south-west Greenland, July 2017: Level 1 (unmosaiced radiance measurements) 
Description This dataset consists of the unprocessed radiance measurements downloaded directly from the unmanned aerial system imaging platform used to image the ice sheet surface at S6 on the south-west Greenland K-transect during July 2017, along with captures of reflectance panels and sensor calibration parameters which enable these imagery to be transformed to reflectance measurements. Funding was provided by the NERC standard grant NE/M021025/1. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
 
Title Multi-spectral unmanned aerial system imagery, S6, south-west Greenland, July 2017: Levels 2 (ground reflectance) and 3 (broadband albedo and surface type classification) 
Description This dataset consists of orthomosaics created from flights of an unmanned aerial system imaging platform at S6 on the south-west Greenland K-transect during July 2017. Level-2 orthomosaics consist of (1) ground reflectance at 5 spectral bands, and (2) digital elevation models (only for 2017-07-20 and 2017-07-21). Level-3 orthomosaics consist of (1) broadband albedo calculated using a narrowband-to-broadband approximation and (2) surface type classification into snow, clean ice, light algae, heavy algae, cryoconite and water, as determined by a supervised classification algorithm. Training data ingested by the classification algorithm are also provided. Funding was provided by the NERC standard grant NE/M021025/1. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01293
 
Title Multi-spectral unmanned aerial system imagery, UPE_U, north-west Greenland, July 2018: Level 1 (unmosaiced radiance measurements) 
Description This dataset consists of the unprocessed radiance measurements downloaded directly from the unmanned aerial system imaging platform used to image the ice sheet surface near UPE_U in the north-west of the Greenland Ice Sheet, along with captures of reflectance panels and sensor calibration parameters which enable these imagery to be transformed to reflectance measurements. Funding was provided by the NERC standard grant NE/M021025/1. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
 
Title Multi-spectral unmanned aerial system imagery, UPE_U, north-west Greenland, July 2018: Levels 2 (ground reflectance) and 3 (broadband albedo and surface type classification) 
Description This dataset consists of orthomosaics created from flights of an unmanned aerial system imaging platform at UPE_U in north-west Greenland on 24 July 2018. The Level-2 orthomosaics consist of (1) ground reflectance at 5 spectral bands, and (2) a digital elevation model. Level-3 orthomosaics consist of (1) broadband albedo calculated using a narrowband-to-broadband approximation and (2) surface type classification into snow, clean ice, light algae, heavy algae, cryoconite and water, as determined by a supervised classification algorithm which was trained on measurements collected at S6, K-transect, south-west Greenland. Funding was provided by the NERC standard grant NE/M021025/1. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01294
 
Title Sentinel-2 imagery, S6, south-west Greenland, July 2017: Broadband albedo and surface type classification 
Description This dataset consists of (1) broadband albedo calculated using a narrowband-to-broadband approximation and (2) surface type classification into snow, clean ice, light algae, heavy algae, cryoconite and water, as determined by a supervised classification algorithm, as applied to Sentinel-2 overpasses of S6, K-transect, south-west Greenland on 20 and 21 July 2017. Funding was provided by the NERC standard grant NE/M021025/1. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01292
 
Title Spectra_Processing_v1.0 
Description Codes for processing spectral data obtained using an ASD Field Spec 3 on the surface of the Greenland Ice Sheet in 2016 and 2017, in support of publication Cook et al (2019) "Algae accelerate the melting of the Greenland Ice Sheet". 
Type Of Material Data handling & control 
Year Produced 2019 
Provided To Others? Yes  
Impact n/a 
URL https://doi.org/10.5281/zenodo.2598219
 
Title The diversity of ice algal communities on the Greenland Ice Sheet revealed by oligotyping 
Description The diversity of ice algal communities on the Greenland Ice Sheet revealed by oligotyping as published in Microbial genomics. 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
Impact n/a 
URL https://figshare.com/s/2c10e295e7b6f20bb16a
 
Title jmcook1186/Data_Archive_TC2019: post-peer-review 
Description Updated archive following manuscript acceptance in TC. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact n/a 
URL https://zenodo.org/record/3564501
 
Description ARCTIS 2020 Khanty-Mensisyk, Russia - part of COP26 activities 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact I gave a presentation of the Black and Bloom Project to 38 UK-Russian post graduates, and a further 10 Russian researchers. I took part in an exchange with the senior management team of Yukra State University (Siberia) and surrounding University partners, together with the British Consular General for Siberia and a staff member of the British Embassy in Moscow, on the potential for further UK-Russian scientific exchanges in climate change science in cold regions.
Year(s) Of Engagement Activity 2020
 
Description Engagement Activities 2016-17 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact We have established the Black and Bloom website, https//blackandbloom.org, and associated Twitter account. This has led to widespread uptake of our research in Science and Huffington Post articles, for example, and has led to various schools contacting us for talks, which we have undertaken. The BBC have also been in contact, radio interviews have been given, and more such actiites are planned for 2017.
Year(s) Of Engagement Activity 2016,2017
URL http://blackandbloom.org
 
Description Engagement Activities 2017-18 
Form Of Engagement Activity A broadcast e.g. TV/radio/film/podcast (other than news/press)
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Media (as a channel to the public)
Results and Impact Our project was covered as one of the prime time science stories on the BBC News, both at 6 and at 10. We conducted interviews for Radio 4 too. Our project was covered on the BBC Website and received hundred of thousands of hits.
Year(s) Of Engagement Activity 2017,2018
URL https://www.bbc.co.uk/news/science-environment-40686984
 
Description SEREN HUB - gifted children in South Wales 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Schools
Results and Impact Approximately 30 gifted Geographers have attended a two hour talk/question and answer session on studying geography at University, with the Black and Bloom project a core to the types of research that Geography Departments undertake and the opportunities that undergraduates have for related projects/dissertations.
Year(s) Of Engagement Activity 2016,2017,2018,2019,2020
 
Description Widening Participation, via Access to Bristol and Insight into Bristol 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Schools
Results and Impact ~40 students each year attended either Access to... or Insight into Bristol. The two hour workshop was designed to give students from low educationally achieving areas the opportunity to experience University teaching and learning environments. Black and Bloom material is core to the acitivities, showing the types of research and dissertations that geography students can undertake.
Year(s) Of Engagement Activity 2016,2017,2018,2019,2020