Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-543-2024
© 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/essd-16-543-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Shortwave and longwave components of the surface radiation budget measured at the Thule High Arctic Atmospheric Observatory, Northern Greenland
Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, 00123, Italy
Filippo Calì Quaglia
Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Mestre, 30172, Italy
Istituto Nazionale di Geofisica e Vulcanologia, Rome, 00143, Italy
Virginia Ciardini
Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, 00123, Italy
Annalisa Di Bernardino
Physics Department, Sapienza University of Rome, Rome, 00185, Italy
Tatiana Di Iorio
Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, 00123, Italy
Antonio Iaccarino
Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, 00123, Italy
Giovanni Muscari
Istituto Nazionale di Geofisica e Vulcanologia, Rome, 00143, Italy
Giandomenico Pace
Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, 00123, Italy
Claudio Scarchilli
Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, 00123, Italy
Alcide di Sarra
Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Frascati, 00044, Italy
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Cited articles
Albrecht, B. and Cox, S. K.: Procedures for improving pyrgeometer performance, J. Appl. Meteorol., 16, 188–197, https://doi.org/10.1175/1520-0450(1977)016<0190:PFIPP>2.0.CO;2, 1977.
Batrak, Y. and Müller, M.: On the warm bias in atmospheric reanalyses induced by the missing snow over Arctic sea-ice, Nat. Commun., 10, 4170, https://doi.org/10.1038/s41467-019-11975-3, 2019.
Batrak, Y., Cheng, B., and Kallio-Myers, V.: Sea ice cover in the Copernicus Arctic Regional Reanalysis, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2023-74, in review, 2023.
Becagli, S., Caiazzo, L., Di Iorio, T., di Sarra, A., Meloni, D., Muscari, G., Pace, G., Severi, M., and Traversi, R.: New insights on metals in the Arctic aerosol in a climate changing world, Sci. Total Environ., 741, 140511, https://doi.org/10.1016/j.scitotenv.2020.140511, 2020.
Bennartz, R., Shupe, M., Turner, D., Walden, V. P., Steffen, K., Cox, C. J., Kulie, M. S., Miller, N. B., and Pettersen, C.: July 2012 Greenland melt extent enhanced by low-level liquid clouds, Nature, 496, 83–86, https://doi.org/10.1038/nature12002, 2013.
Bintanja, R. and Krikken, F.: Magnitude and pattern of Arctic warming governed by the seasonality of radiative forcing, Sci. Rep., 6, 38287, https://doi.org/10.1038/srep38287, 2016.
Blanchard, Y., Pelon, J., Cox, C. J., Delanoë, J., Eloranta, E. W., and Uttal, T.: Comparison of TOA and BOA LW radiation fluxes inferred from ground-based sensors, A-Train satellite observations and ERA reanalyzes at the High Arctic station Eureka over the 2002–2020 period, J. Geophys. Res.-Atmos., 126, e2020JD033615, https://doi.org/10.1029/2020JD033615, 2021.
Bourassa, M. A., Gille, S. T., Bitz, C., Carlson, D., Cerovecki, I., Clayson, C. A., Cronin, M. F., Drennan, W. M., Fairall, C. W., Hoffman, R. N., Magnusdottir, G., Pinker, R. T., Renfrew, I. A., Serreze, M., Speer, K., Talley, L. D., and Wick, G. A.: High-latitude ocean and sea ice surface fluxes: Challenges for climate research, B. Am. Meteor. Soc., 94, 403–423, https://doi.org/10.1175/BAMS-D-11-00244.1, 2013.
Calì Quaglia, F., Meloni, D., Muscari, G., Di Iorio, T., Ciardini, V., Pace, G., Becagli, S., Di Bernardino, A., Cacciani, M., Hannigan, J.W., Ortega, I., and di Sarra, A.: On the Radiative Impact of Biomass-Burning Aerosols in the Arctic: The August 2017 Case Study, Remote Sens., 14, 313, https://doi.org/10.3390/rs14020313, 2022.
Cox, C. J., Morris, S. M., Uttal, T., Burgener, R., Hall, E., Kutchenreiter, M., McComiskey, A., Long, C. N., Thomas, B. D., and Wendell, J.: The De-Icing Comparison Experiment (D-ICE): a study of broadband radiometric measurements under icing conditions in the Arctic, Atmos. Meas. Tech., 14, 1205–1224, https://doi.org/10.5194/amt-14-1205-2021, 2021.
Curry, J. A., Schramm, J. L., Rossow, W. B., and Randall, D.: Overview of Arctic cloud and radiation characteristics, J. Climate, 9, 1731–1764, https://doi.org/10.1175/1520-0442(1996)009<1731:OOACAR>2.0.CO;2, 1996.
Dai, H.: Roles of surface albedo, surface temperature and carbon dioxide in the seasonal variation of arctic amplification, Geophys. Res. Lett., 48, e2020GL090301, https://doi.org/10.1029/2020GL090301, 2021.
Di Biagio, C., Muscari, G., di Sarra, A., de Zafra, R. L., Eriksen, P., Fiocco, G., Fiorucci, I., and Fuà, D.: Evolution of temperature, O3, CO, and N2O profiles during the exceptional 2009 Arctic major stratospheric warming as observed by lidar and millimeter-wave spectroscopy at Thule (76.5∘ N, 68.8∘ W), Greenland, J. Geophys. Res., 115, D24315, https://doi.org/10.1029/2010JD014070, 2010.
Di Biagio, C., Pelon, J., Blanchard, Y., Loyer, L., Hudson, S. R., Walden, V. P., Raut, J.-C., Kato, S., Mariage, V., and Granskog, M. A.: Toward a better surface radiation budget analysis over sea ice in the high Arctic Ocean: a comparative study between satellite, reanalysis, and local-scale observations. J. Geophys. Res.-Atmos., 126, e2020JD032555, https://doi.org/10.1029/2020JD032555, 2021.
di Sarra, A., Cacciani, M., Di Girolamo, P., Fiocco, G., Fuà, D., Knudsen, B., Larsen, N., and Jørgensen, T. S.: Observations of correlated behavior of stratospheric ozone and aerosol at Thule during winter 1991–1992, Geophys. Res. Lett., 19, 1823– 1826, https://doi.org/10.1029/92GL01887, 1992.
di Sarra, A., Cacciani, M., Fiocco, G., Fuà, D., and Jørgensen, T. S.: Lidar observations of polar stratospheric clouds over northern Greenland in the period 1990–1997, J. Geophys. Res., 107, 4152, https://doi.org/10.1029/2001JD001074, 2002.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Dong, X., Xi, B., Crosby, K., Long, C. N., Stone, R. S., and Shupe, M. D.: A 10 year climatology of Arctic cloud fraction and radiative forcing at Barrow, Alaska, J. Geophys. Res., 115, D17212, https://doi.org/10.1029/2009JD013489, 2010.
Driemel, A., Augustine, J., Behrens, K., Colle, S., Cox, C., Cuevas-Agulló, E., Denn, F. M., Duprat, T., Fukuda, M., Grobe, H., Haeffelin, M., Hodges, G., Hyett, N., Ijima, O., Kallis, A., Knap, W., Kustov, V., Long, C. N., Longenecker, D., Lupi, A., Maturilli, M., Mimouni, M., Ntsangwane, L., Ogihara, H., Olano, X., Olefs, M., Omori, M., Passamani, L., Pereira, E. B., Schmithüsen, H., Schumacher, S., Sieger, R., Tamlyn, J., Vogt, R., Vuilleumier, L., Xia, X., Ohmura, A., and König-Langlo, G.: Baseline Surface Radiation Network (BSRN): structure and data description (1992–2017), Earth Syst. Sci. Data, 10, 1491–1501, https://doi.org/10.5194/essd-10-1491-2018, 2018.
Dutton, E. G., Michalsky, J. J., Stoffel, T., Forgan, B. W., Hickey, J., Nelson, D. W., Alberta, T. L., and Reda, I.: Measurement of Broadband Diffuse Solar Irradiance Using Current Commercial Instrumentation with a Correction for Thermal Offset Errors, J. Atmos. Ocean. Tech., 18, 297–314, https://doi.org/10.1175/1520-0426(2001)018<0297:MOBDSI>2.0.CO;2, 2001.
Ebell, K., Nomokonova, T., Maturilli, M., and Ritter, C.: Radiative Effect of Clouds at Ny-Ålesund, Svalbard, as Inferred from Ground-Based Remote Sensing Observations, J. Appl. Meteorol. Climat., 59, 3–22, https://doi.org/10.1175/JAMC-D-19-0080.1, 2020.
Goosse, H., Kay, J. E., Armour, K. C., Bodas-Salcedo, A., Chepfer, H., Docquier, D., Jonko, A., Kushner, P. J., Lecomte, O., Massonnet, F., Park, H.-S., Pithan, F., Svensson, G., and Vancoppenolle, M.: Quantifying climate feedbacks in polar regions, Nat. Commun., 9, 1919, https://doi.org/10.1038/s41467-018-04173-0, 2018.
Grachev, A. A., Persson, P. O. G., Uttal, T., Akish, E. A., Christopher J. Cox, C. J., Morris, S. M., Fairall, C. W., Stone, R. S., Lesins, G., Makshtas, A. P., and Repina, I. A.: Seasonal and latitudinal variations of surface fluxes at two Arctic terrestrial sites, Clim. Dynam., 51, 1793–1818, https://doi.org/10.1007/s00382-017-3983-4, 2018.
Graham, R. M., Cohen, L., Ritzhaupt, N., Segger, B., Graversen, R. G., Rinke, A., Walden, V. P., Granskog, M. A., and Hudson, S. R.: Evaluation of six atmospheric reanalyses over Arctic Sea ice from winter to early summer, J. Climate, 32, 4121–4143, https://doi.org/10.1175/JCLI-D-18-0643.1, 2019.
Gröbner, J., Wacker, S., Vuilleumier, L., and Kämpfer, N.: Effective atmospheric boundary layer temperature from longwave radiation measurements, J. Geophys. Res., 114, D19116, https://doi.org/10.1029/2009JD012274, 2009.
Hanna, E, Cappelen, J, Fettweis, X, Mernild, S. H., Mote, T. L., Mottram, R., Steffen, K., Ballinger, T. J., and Hall, R. J.: Greenland surface air temperature changes from 1981 to 2019 and implications for ice-sheet melt and mass-balance change, Int. J. Climatol., 41, E1336–E1352, https://doi.org/10.1002/joc.6771, 2021.
Hannigan, J. W., Coffey, M. T., and Goldman, A.: Semiautonomous FTS Observation System for Remote Sensing of Stratospheric and Tropospheric Gases, J. Atmos. Ocean. Tech., 26, 1814–1828, https://doi.org/10.1175/2009JTECHA1230.1, 2009.
He, M., Hu, Y., Chen, N., Wang, D., Huang, J., and Stamnes, K.: High cloud coverage over melted areas dominates the impact of clouds on the albedo feedback in the Arctic, Sci. Rep., 9, 9529, https://doi.org/10.1038/s41598-019-44155-w, 2019.
Holben B. N., Eck, T. F., Slutsker, I., Tanre, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y., Nakajima, T., Lavenu, F., Jankowiak, I., and Smirnov, A.: AERONET – A federated instrument network and data archive for aerosol characterization, Remote Sens. Environ., 66, 1–16, https://doi.org/10.1016/S0034-4257(98)00031-5, 1998.
Huang,Y, Taylor, P. C., Rose, F. G., Rutan, D. A., Shupe. M. D., Webster, M. A., and Smith, M. M.: Toward a more realistic representation of surface albedo in NASA CERES-derived surface radiative fluxes: A comparison with the MOSAiC field campaign, Elem. Sci. Anth., 10, https://doi.org/10.1525/elementa.2022.00013, 2022.
Intrieri, J. M., Fairall, C. F., Shupe, M. D., Persson, O. G. P., Andreas, E. L., Guest, P., and Moritz, R. M.: An annual cycle of Arctic surface cloud forcing at SHEBA, J. Geophys. Res., 107, 8039, https://doi.org/10.1029/2000JC000439, 2002.
Kapsch, M. L., Graversen, R. G., and Tjernström, M.: Springtime atmospheric energy transport and the control of Arctic summer sea-ice extent, Nat. Clim. Change 3, 744–748, https://doi.org/10.1038/nclimate1884, 2013.
Karlsson, K.-G., Anttila, K., Trentmann, J., Stengel, M., Fokke Meirink, J., Devasthale, A., Hanschmann, T., Kothe, S., Jääskeläinen, E., Sedlar, J., Benas, N., van Zadelhoff, G.-J., Schlundt, C., Stein, D., Finkensieper, S., Håkansson, N., and Hollmann, R.: CLARA-A2: the second edition of the CM SAF cloud and radiation data record from 34 years of global AVHRR data, Atmos. Chem. Phys., 17, 5809–5828, https://doi.org/10.5194/acp-17-5809-2017, 2017.
Kay, J. E., L'Ecuyer, T., Chepfer, H., Loeb, N., Morrison, A., and Cesana, G.: Recent advances in Arctic cloud and climate research, Curr. Climate Change Rep., 2, 159–169, https://doi.org/10.1007/s40641-016-0051-9, 2016.
Larsen, N., Knudsen, B. M., Jørgensen, T. S., di Sarra, A., Fuà, D., Di Girolamo, P., Fiocco, G., Cacciani, M., Rosen, J. M., and Kjome, N. T.: Backscatter measurements of stratospheric aerosols at Thule during January–February 1992, Geophys. Res. Lett., 21, 1303– 1306, https://doi.org/10.1029/93GL02896, 1994.
Lawrence, Z. D., Perlwitz, J., Butler, A. H., Manney, G. L., Newman, P. A., Lee, S. H., and Nash, E. R.: The remarkably strong Arctic stratospheric polar vortex of winter 2020: Links to record-breaking Arctic Oscillation and ozone loss, J. Geophys. Res.-Atmos., 125, e2020JD033271, https://doi.org/10.1029/2020JD033271, 2020.
Long, C. N. and Dutton, E. G.: BSRN Global Network recommended QC tests, V2.0. BSRN Technical Report 2002, https://bsrn.awi.de/fileadmin/user_upload/bsrn.awi.de/Publications/BSRN_recommended_QC_tests_V2.pdf (last access: 16 January 2024), 2002.
Long, C. N. and Shi, Y.: An Automated Quality Assessment and Control Algorithm for Surface Radiation Measurements, Open Atmos. Sci. J., 2, 23–27, https://doi.org/10.2174/1874282300802010023 2008.
Lund, M., Stiegler, C., Abermann, J., Citterio, M., Hansen, B. U., and van As, D.: Spatiotemporal variability in surface energy balance across tundra, snow and ice in Greenland, Ambio, 46, 81–93, https://doi.org/10.1007/s13280-016-0867-5, 2017.
Marty, C., Philipona, R., Delamere, J., Dutton, E. G., Michalsky, J., Stamnes, K., Storvold, R., Stoffel, T., Clough, S. A., and Mlawer, E. J.: Downward longwave irradiance uncertainty under arctic atmospheres: Measurements and modelling, J. Geophys. Res., 108, 4358, https://doi.org/10.1029/2002JD002937, 2003.
Matsui, N., Long, C. N., Augustine, J., Halliwell, D., Uttal, T., Longenecker, D., Niebergall, O., Wendell, J., and Albee, R.: Evaluation of Arctic broadband surface radiation measurements, Atmos. Meas. Tech., 5, 429–438, https://doi.org/10.5194/amt-5-429-2012, 2012.
Maturilli, M., Herber, A., and König-Langlo, G.: Surface radiation climatology for Ny-Ålesund, Svalbard (78.9∘ N), basic observations for trend detection, Theor. Appl. Climatol., 120, 331–339, https://doi.org/10.1007/s00704-014-1173-4, 2015.
Meloni, D., Di Biagio, C., di Sarra, A., Monteleone, F., Pace, G., and Sferlazzo, D. M.: Accounting for the solar radiation influence on downward longwave irradiance measurements by pyrgeometers, J. Atmos. Ocean. Tech., 29, 1629–1643, 2012.
Meloni, D., Junkermann, W., di Sarra, A., Cacciani, M., De Silvestri, L., Di Iorio, T., Estellés, V., Gómez-Amo, J. L., Pace, G., and Sferlazzo, D. M.: Altitude-resolved shortwave and longwave radiative effects of desert dust in the Mediterranean during the GAMARF campaign: Indications of a net daily cooling in the dust layer, J. Geophys. Res.-Atmos., 120, 3386–3407, https://doi.org/10.1002/2014JD022312, 2015.
Meloni, D., di Sarra, A., Pace, G., Di Iorio, T., Muscari, G., Iaccarino, A., and Calì Quaglia, F.: Downward Shortwave Irradiance at the Thule High Arctic Atmospheric Observatory (THAAO_DSI), Agenzia Nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile (ENEA) [data set], https://doi.org/10.13127/thaao/dsi, 2022a.
Meloni, D., di Sarra, A., Pace, G., Di Iorio, T., Muscari, G., Iaccarino, A., and Calì Quaglia, F.: Upward Shortwave Irradiance at the Thule High Arctic Atmospheric Observatory (THAAO_USI), Agenzia Nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile (ENEA) [data set], https://doi.org/10.13127/thaao/usi, 2022b.
Meloni, D., di Sarra, A., Pace, G., Di Iorio, T., Muscari, G., Iaccarino, A., and Calì Quaglia, F.: Downward Longwave Irradiance at the Thule High Arctic Atmospheric Observatory (THAAO_DLI), Agenzia Nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile (ENEA) [data set], https://doi.org/10.13127/thaao/dli, 2022c.
Meloni, D., di Sarra, A., Pace, G., Di Iorio, T., Muscari, G., Iaccarino, A., and Calì Quaglia, F.: Upward Longwave Irradiance at the Thule High Arctic Atmospheric Observatory (THAAO_ULI), Agenzia Nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile (ENEA) [data set], https://doi.org/10.13127/thaao/uli, 2022d.
Mevi, G., Muscari, G., Bertagnolio, P. P., Fiorucci, I., and Pace, G.: VESPA-22: a ground-based microwave spectrometer for long-term measurements of polar stratospheric water vapor, Atmos. Meas. Tech., 11, 1099–1117, https://doi.org/10.5194/amt-11-1099-2018, 2018.
Miller, N. B., Shupe, M. D., Cox, C. J., Walden, V. P., Turner, D. D., and Steffen, K.: Cloud radiative forcing at Summit, Greenland, J. Climate, 28, 6267–6280, https://doi.org/10.1175/JCLI-D-15-0076.1, 2015.
Miller, N. B., Shupe, M. D., Cox, C. J., Noone, D., Persson, P. O. G., and Steffen, K.: Surface energy budget responses to radiative forcing at Summit, Greenland, The Cryosphere, 11, 497–516, https://doi.org/10.5194/tc-11-497-2017, 2017.
Muscari, G., di Sarra, A. G., de Zafra, R. L., Lucci, F., Baordo, F., Angelini, F., and Fiocco, G.: Middle atmospheric O3, CO2, N2O, HNO3, and temperature profiles during the Arctic winter 2001–2002, J. Geophys. Res., 112, D14304, https://doi.org/10.1029/2006JD007849, 2007.
Muscari, G., Di Biagio, C., Di Sarra, A., Cacciani, M., Ascanius, S. E., Bertagnolio, P. P., Cesaroni, C., de Zafra, R. L., Eriksen, P., Fiocco, G., Fiorucci, I., and Fuà, D.: Observations of surface radiation and stratospheric processes at Thule Air Base, Greenland, during the IPY, Ann. Geophys., 57, SS0323; https://doi.org/10.4401/ag-6382, 2014.
Muscari G., Di Sarra A., Di Iorio T., Pace G., Meloni D., Sensale G., Calì Quaglia F., and Iaccarino A.: Meteorological data at the Thule High Arctic Atmospheric Observatory (THAAO_Met), Agenzia Nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile (ENEA) [data set], https://doi.org/10.13127/THAAO/MET, 2018.
Ohmura, A., Dutton, E. G., Forgan, B., Fröhlich, C., Gilgen, H., Hegner, H., Heimo, A. König-Langlo, G., McArthur, B., Müller, G., Philipona, R., Pinker, R., Whitlock, C. H., Dehne, K., and Wild, M.: Baseline surface radiation network (BSRN/WCRP): New precision radiometry for climate research, B. Am. Meteor. Soc., 79, 2115–2136, https://doi.org/10.1175/1520-0477(1998)079<2115:BSRNBW>2.0.CO;2, 1998.
Orsi, A. J., Kawamura, K., Masson-Delmotte, V., Fettweis, X., Box, J. E., Dahl-Jensen, D., Clow, G. D., Landais, A., and Severinghaus, J. P.: The recent warming trend in North Greenland, Geophys. Res. Lett., 44, 6235–6243, https://doi.org/10.1002/2016GL072212, 2017.
Overland, J. E., Hanna, E., Hanssen-Bauer, I., Kim, S. -J., Walsh, J. E., Wang, M., Bhatt, U. S., and Thoman, R. L.: Surface Air Temperature, in Arctic Report Card 2018, https://www.arctic.noaa.gov/Report-Card (last access: 16 January 2024), 2018.
Persson, P. O. G., Fairall, C. W., Andreas, E. L., Guest, P., and Perovich, D.: Measurements near the Atmospheric Surface Flux Group tower at SHEBA: Near-surface conditions and surface energy budgets, J. Geophys. Res., 107, 8045, https://doi.org/10.1029/2000JC000705, 2002.
Philipona, R.: Underestimation of solar global and diffuse radiation measured at Earth's surface, J. Geophys. Res., 107, 4654, https://doi.org/10.1029/2002JD002396, 2002.
Philipona, R., Fröhlich, C., and Betz, C.: Characterization of pyrgeometers and the accuracy of atmospheric long-wave radiation measurements, Appl. Optics, 34, 1598–1605, 1995.
Picard, G., Dumont, M., Lamare, M., Tuzet, F., Larue, F., Pirazzini, R., and Arnaud, L.: Spectral albedo measurements over snow-covered slopes: theory and slope effect corrections, The Cryosphere, 14, 1497–1517, https://doi.org/10.5194/tc-14-1497-2020, 2020.
Pirazzini, R.: Surface albedo measurements over Antarctic sites in summer, J. Geophys. Res., 109, D20118, https://doi.org/10.1029/2004JD004617, 2004.
Previdi, M., Smith, K. L., and Polvani, L. M.: Arctic amplification of climate change: a review of underlying mechanisms, Environ. Res. Lett., 16, 093003, https://doi.org/10.1088/1748-9326/ac1c29, 2021.
Rienecker, M. M., Suarez, M. J., Gelaro, R., Todling, R., Bacmeister, J., Liu, E., Bosilovich, M. G., Schubert, S. D., Takacs, L., Kim, G., Bloom, S., Chen, J., Collins, D., Conaty, A., da Silva, A., Gu, W., Joiner, J., Koster, R. D., Lucchesi, R., Molod, A., Owens, T., Pawson, S., Pegion, P., Redder, C. R., Reichle, R., Robertson, F. R., Ruddick, A. G., Sienkiewicz, M., and Woollen, J.: MERRA: NASA's Modern-Era Retrospective Analysis for Research and Applications, J. Climate, 24, 3624–3648, https://doi.org/10.1175/JCLI-D-11-00015.1, 2011.
Riihelä, A., Key, J. R., Meirink, J. F., Kuipers Munneke, P., Palo, T., and Karlsson, K.-G.: An intercomparison and validation of satellite-based surface radiative energy flux estimates over the Arctic, J. Geophys. Res.-Atmos., 122, 4829–4848, https://doi.org/10.1002/2016JD026443, 2017.
Roesch, A., Wild, M., Ohmura, A., Dutton, E. G., Long, C. N., and Zhang, T.: Assessment of BSRN radiation records for the computation of monthly means, Atmos. Meas. Tech., 4, 339–354, https://doi.org/10.5194/amt-4-339-2011, 2011.
Rosen, J. M., Kjome, N. T., Larsen, N., Knudsen, B. M., Kyrö, E., Kivi, R., Karhu, J., Neuber, R., and Beninga, I.: Polar stratospheric cloud threshold temperatures in the 1995–1996 Arctic vortex, J. Geophys. Res., 102, 28195–28202, https://doi.org/10.1029/97JD02701, 1997.
Rutan, D. A., Kato, S., Doelling, D. R., Rose, F. G., Nguyen, L. T., Caldwell, T. E., and Loeb, N. G.: CERES Synoptic Product: Methodology and Validation of Surface Radiant Flux, J. Atmos. Ocean. Techn., 32, 1121–1143, https://doi.org/10.1175/JTECH-D-14-00165.1, 2015.
Serreze, M. C. and Francis, J. A.: The Arctic amplification debate, Clim. Change, 76, 241–264, https://doi.org/10.1007/s10584-005-9017-y, 2006.
Shupe, M. D., Walden, V. P., Eloranta, E., Uttal, T., Campbell, J. R., Starkweather, S. M., and Shiobara, M.: Clouds at Arctic atmospheric observatories. Part I: Occurrence and macrophysical properties, J. Appl. Meteorol. Clim., 50, 626–644, https://doi.org/10.1175/2010JAMC2467.1 2011.
Shupe, M. D. and Intrieri, J. M.: Cloud radiative forcing of the Arctic surface: The influence of cloud properties, surface albedo, and solar zenith angle, J. Climate, 17, 616–628, https://doi.org/10.1175/1520-0442(2004)017<0616:CRFOTA>2.0.CO;2, 2004.
Shupe, M. D., Rex, M., Blomquist, B., Persson, P. O. G., Schmale, J., Uttal, T., Althausen, D., Angot, H., Archer, S., Bariteau, L., Beck, I., Bilberry, J., Bucci, S., Buck, C., Boyer, M., et al.: Overview of the MOSAiC expedition: Atmosphere, Elem. Sci. Anth., 10, https://doi.org/10.1525/elementa.2021.00060, 2022.
Simjanovski, D., Girard, E., and Du, P.: An evaluation of Arctic cloud and radiation processes simulated by the limited-area version of the global multiscale environmental model (GEM-LAM), Atmos.-Ocean, 49, 219–234, https://doi.org/10.1080/07055900.2011.604266, 2011.
Solomon, A., Shupe, M. D., Svensson, G., Barton, N. P., Batrak, Y., Bazile, E., Day, J. J., Doyle, J. D., Frank, H. P., Keeley, S., Remes, T., and Tolstykh, M.: The winter central Arctic surface energy budget: A model evaluation using observations from the MOSAiC campaign, Elem. Sci. Anth., 11, https://doi.org/10.1525/elementa.2022.00104, 2023.
Stackhouse Jr., P. W., Gupta, S. K., Cox, S. J., Zhang, T., Mikovitz, J. C., and Hinkelman, L. M.: The NASA/GEWEX surface radiation budget release 3.0: 24.5-year dataset, GEWEX News, 21, 10–12, 2011.
Taylor, P. C., Cai, M., Hu, A., Meehl, J., Washington, W., and Zhang, G. J.: A decomposition of feedback contributions to polar warming amplification, J. Climate, 26, 7023–7043, https://doi.org/10.1175/JCLI-D-12-00696.1, 2013.
Tedesco, M. and Fettweis, X.: Unprecedented atmospheric conditions (1948–2019) drive the 2019 exceptional melting season over the Greenland ice sheet, The Cryosphere, 14, 1209–1223, https://doi.org/10.5194/tc-14-1209-2020, 2020.
Thoman, R., Druckenmiller, M. L., and Moon, T.: State of the Climate in 2021, B. Am. Meteor. Soc., 103, S257–S306, https://doi.org/10.1175/BAMS-D-22-0082.1, 2022.
Tjernström, M., Leck, C., Birch, C. E., Bottenheim, J. W., Brooks, B. J., Brooks, I. M., Bäcklin, L., Chang, R. Y.-W., de Leeuw, G., Di Liberto, L., de la Rosa, S., Granath, E., Graus, M., Hansel, A., Heintzenberg, J., Held, A., Hind, A., Johnston, P., Knulst, J., Martin, M., Matrai, P. A., Mauritsen, T., Müller, M., Norris, S. J., Orellana, M. V., Orsini, D. A., Paatero, J., Persson, P. O. G., Gao, Q., Rauschenberg, C., Ristovski, Z., Sedlar, J., Shupe, M. D., Sierau, B., Sirevaag, A., Sjogren, S., Stetzer, O., Swietlicki, E., Szczodrak, M., Vaattovaara, P., Wahlberg, N., Westberg, M., and Wheeler, C. R.: The Arctic Summer Cloud Ocean Study (ASCOS): overview and experimental design, Atmos. Chem. Phys., 14, 2823–2869, https://doi.org/10.5194/acp-14-2823-2014, 2014.
Uttal, T., Curry, J. A., McPhee, M. G., Perovich, D. K., Moritz, R. E., Maslanik, J. A., Guest, P. S., Stern, H. L., Moore, J. A., Turenne, R., Heiberg, A., Serreze, M. C., Wylie, D. P., Persson, O. G., Paulson, C. A., Halle, C., Morison, J. H., Wheeler, P. A., Makshtas, A., Welch, H., Shupe, M. D., Intrieri, J. M., Stamnes, K., Lindsey, R. W., Pinkel, R., Pegau, W. S., Stanton, T. P., and Grenfeld, T. C.: Surface Heat Budget of the Arctic Ocean, B. Am. Meteor. Soc., 83, 255–275, https://doi.org/10.1175/1520-0477(2002)083<0255:SHBOTA>2.3.CO;2, 2002.
Uttal, T., Starkweather, S., Drummond, J. R., Vihma, T., Makshtas, A. P., Darby, L. S., Burkhart, J. F., Cox, C. J., Schmeisser, L. N., Haiden, T., Maturilli, M., Shupe, M. D., De Boer, G., Saha, A., Grachev, A. A., Crepinsek, S. M., Bruhwiler, L., Goodison, B., McArthur, B., Walden, V. P., Dlugokencky, E. J., Persson, P. O. G., Lesins, G., Laurila, T., Ogren, J. A., Stone, R., Long, C. N., Sharma, S., Massling, A., Turner, D. D., Stanitski, D. M., Asmi, E., Aurela, M., Skov, H., Eleftheriadis, K., Virkkula, A., Platt, A., Førland, E. J., Iijima, Y., Nielsen, I. E., Bergin, M. H., Candlish, L., Zimov, N. S., Zimov, S. A., O'Neill, N. T., Fogal, P. F., Kivi, R., Konopleva-Akish, E. A., Verlinde, J., Kustov, V. Y., Vasel, B., Ivakhov, V. M., Viisanen, Y., and Intrieri, J. M.: International Arctic Systems for Observing the Atmosphere: An International Polar Year Legacy Consortium, B. Am. Meteor. Soc., 97, 1033–1056, https://doi.org/10.1175/BAMS-D-14-00145.1, 2016.
Walden, V. P., Hudson, S. R., Cohen, L., Murphy, S. Y., and Granskog, M. A.: Atmospheric components of the surface energy budget over young sea ice: Results from the N-ICE2015 campaign, J. Geophys. Res.-Atmos., 122, 8427–8446, https://doi.org/10.1002/2016JD026091, 2017.
Wang, X. and Zender, C. S.: Arctic and Antarctic diurnal and seasonal variations of snow albedo from multiyear Baseline Surface Radiation Network measurements, J. Geophys. Res., 116, F03008, https://doi.org/10.1029/2010JF001864, 2011.
Wang, G., Wang, T., and Xue, H.: Validation and comparison of surface shortwave and longwave radiation products over the three poles, Int. J. Appl. Earth Obs., 104, 102538, https://doi.org/10.1016/j.jag.2021.102538, 2021.
Wendisch, M., Macke, A., Ehrlich, A., Lüpkes, C., Mech, M., Chechin, D., Dethloff, K., Velasco, C. B., Bozem, H., Brückner, M., Clemen, H.-C., Crewell, S., Donth, T., Dupuy, R., Ebell, K., Egerer, U., Engelmann, R., Engler, C., Eppers, O., Gehrmann, M., Gong, X., Gottschalk, M., Gourbeyre, C., Griesche, H., Hartmann, J., Hartmann, M., Heinold, B., Herber, A., Herrmann, H., Heygster, G., Hoor, P., Jafariserajehlou, S., Jäkel, E., Järvinen, E., Jourdan, O., Kästner, U., Kecorius, S., Knudsen, E. M., Köllner, F., Kretzschmar, J., Lelli, L., Leroy, D., Maturilli, M., Mei, L., Mertes, S., Mioche, G., Neuber, R., Nicolaus, M., Nomokonova, T., Notholt, J., Palm, M., van Pinxteren, M., Quaas, J., Richter, P., Ruiz-Donoso, E., Schäfer, M., Schmieder, K., Schnaiter, M., Schneider, J., Schwarzenböck, A., Seifert, P., Shupe, M. D., Siebert, H., Spreen, G., Stapf, J., Stratmann, F., Vogl, T., Welti, A., Wex, H., Wiedensohler, A., Zanatta, M., and Zeppenfeld, S.: The Arctic Cloud Puzzle: Using ACLOUD/PASCAL Multiplatform Observations to Unravel the Role of Clouds and Aerosol Particles in Arctic Amplification, B. Am. Meteor. Soc., 100, 841–871, https://doi.org/10.1175/BAMS-D-18-0072.1, 2019.
WMO: Guide to Instruments and Methods of Observation, Volume I – Measurement of Meteorological Variables, WMO-No.8, ISBN 978-92-63-10008-5, 2021.
Wohltmann, I., von der Gathen, P., Lehmann, R., Maturilli, M., Deckelmann, H., Manney, G. L., Davies, J., Tarasick, D., Jepsen, N., Kivi, R., Lyall, N., and Rex, M.: Near complete local reduction of Arctic stratospheric ozone by severe chemical loss in spring 2020, Geophys. Res. Lett., 47, e2020GL089547, https://doi.org/10.1029/2020GL089547, 2020.
Wyser, K., Jones, C. G., Du, P., Girard, E., Willén, U., Cassano, J., Christensen, J. H., Curry, J. A., Dethloff, K., Haugen, J.-E., Jacob, D., Køltzow, M., Laprise, R., Lynch, A., Pfeifer, S., Rinke, A., Serreze, M., Shaw, M. J., Tjernström, M., and Zagar, M.: An evaluation of Arctic cloud and radiation processes during the SHEBA year: Simulation results from eight Arctic regional climate models, Clim. Dynam., 30, 203–223, https://doi.org/10.1007/s00382-007-0286-1, 2008.
Short summary
Solar and infrared radiation are key factors in determining Arctic climate. Only a few sites in the Arctic perform long-term measurements of the surface radiation budget (SRB). At the Thule High Arctic Atmospheric Observatory (THAAO, 76.5° N, 68.8° W) in Northern Greenland, solar and infrared irradiance measurements were started in 2009. These data are of paramount importance in studying the impact of the atmospheric (mainly clouds and aerosols) and surface (albedo) parameters on the SRB.
Solar and infrared radiation are key factors in determining Arctic climate. Only a few sites in...
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