Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Cécile B. Ménard"'
Autor:
Richard Essery, Kelly Elder, Chris Derksen, Adriano Meta, Juha Lemmetyinen, Ioanna Merkouriadi, Reinhard Fromm, Anna Kontu, Marion Leduc-Leballeur, Thomas Nagler, Nick Rutter, Henna-Reetta Hannula, Elisabeth Ripper, Cécile B. Ménard, Juval Cohen, Hans-Peter Marshall, Joshua King, Melody Sandells, Emanuele Santi, Helmut Rott, Marc S. Adams, Alex Coccia, Stefan Scheiblauer, Michael Kern, Juho Vehviläinen, Giovanni Macelloni
The European Space Agency SnowSAR instrument is a side looking, dual polarized (VV/VH), X/Ku band synthetic aperture radar (SAR), operable from a small aircraft. Between 2010 and 2013, the instrument was deployed at several sites in Northern Finland,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9e15071d49532579af408d3edb5c7c5
https://nrl.northumbria.ac.uk/id/eprint/49826/8/Lemmetyinen_2022.pdf
https://nrl.northumbria.ac.uk/id/eprint/49826/8/Lemmetyinen_2022.pdf
Autor:
Matthieu Lafaysse, Richard Essery, Paul Bartlett, Vladimir Semenov, Ulrich Strasser, Aaron Boone, Xing Fang, Gabriele Arduini, Cécile B. Ménard, Yongjiu Dai, Claire Brutel-Vuilmet, Gerd Schädler, Thomas Marke, Eleanor J. Burke, Tatiana G. Smirnova, Dmitry Turkov, Emanuel Dutra, Stefan Hagemann, Vanessa Haverd, Sean Swenson, Hua Yuan, Charles Fierz, Hyungjun Kim, Yeugeniy M. Gusev, Masashi Niwano, Gerhard Krinner, Matthias Cuntz, Olga N. Nasonova, Tomoko Nitta, Bertrand Decharme, John W. Pomeroy, Nander Wever
Publikováno v:
Bulletin of the American Meteorological Society
Bulletin of the American Meteorological Society, American Meteorological Society, In press, ⟨10.1175/BAMS-D-19-0329.1⟩
Menard, C B, Essery, R, Krinner, G, Arduini, G, Bartlett, P, Boone, A, Brutel-vuilmet, C, Burke, E, Cuntz, M, Dai, Y, Decharme, B, Dutra, E, Fang, X, Fierz, C, Gusev, Y, Hagemann, S, Haverd, V, Kim, H, Lafaysse, M, Marke, T, Nasonova, O, Nitta, T, Niwano, M, Pomeroy, J, Schädler, G, Semenov, V, Smirnova, T, Strasser, U, Swenson, S, Turkov, D, Wever, N & Yuan, H 2021, ' Scientific and human errors in a snow model intercomparison ', Bulletin of the American Meteorological Society, vol. 102, no. 1, pp. 1-46 . https://doi.org/10.1175/BAMS-D-19-0329.1
Menard, C.; Essery, R.; Krinner, G.; Arduini, G.; Bartlett, P.; Boone, A.; Brutel-vuilmet, C.; Burke, E.; Cuntz, M.; Dai, Y.; Decharme, B.; Dutra, E.; Fang, X.; Fierz, C.; Gusev, Y.; Hagemann, S.; Haverd, V.; Kim, H.; Lafaysse, M.; Marke, T.; Nasonova, O.; Nitta, T.; Niwano, M.; Pomeroy, J.; Schädler, G.; Semenov, V.; Smirnova, T.; Strasser,U.; Swenson, S.; Turkov, D.; Wever, N.; Yuan, H. : Scientific and Human Errors in a Snow Model Intercomparison. In: Bulletin of the American Meteorological Society. Vol. 102 (2021) 1, E61-E79. (DOI: /10.1175/BAMS-D-19-0329.1)
Bulletin of the American Meteorological Society, American Meteorological Society, 2021, 102 (1), pp.E61-E79. ⟨10.1175/BAMS-D-19-0329.1⟩
Bulletin of the American Meteorological Society, 2021, 102 (1), pp.E61-E79. ⟨10.1175/BAMS-D-19-0329.1⟩
Bulletin of the American Meteorological Society, American Meteorological Society, In press, ⟨10.1175/BAMS-D-19-0329.1⟩
Menard, C B, Essery, R, Krinner, G, Arduini, G, Bartlett, P, Boone, A, Brutel-vuilmet, C, Burke, E, Cuntz, M, Dai, Y, Decharme, B, Dutra, E, Fang, X, Fierz, C, Gusev, Y, Hagemann, S, Haverd, V, Kim, H, Lafaysse, M, Marke, T, Nasonova, O, Nitta, T, Niwano, M, Pomeroy, J, Schädler, G, Semenov, V, Smirnova, T, Strasser, U, Swenson, S, Turkov, D, Wever, N & Yuan, H 2021, ' Scientific and human errors in a snow model intercomparison ', Bulletin of the American Meteorological Society, vol. 102, no. 1, pp. 1-46 . https://doi.org/10.1175/BAMS-D-19-0329.1
Menard, C.; Essery, R.; Krinner, G.; Arduini, G.; Bartlett, P.; Boone, A.; Brutel-vuilmet, C.; Burke, E.; Cuntz, M.; Dai, Y.; Decharme, B.; Dutra, E.; Fang, X.; Fierz, C.; Gusev, Y.; Hagemann, S.; Haverd, V.; Kim, H.; Lafaysse, M.; Marke, T.; Nasonova, O.; Nitta, T.; Niwano, M.; Pomeroy, J.; Schädler, G.; Semenov, V.; Smirnova, T.; Strasser,U.; Swenson, S.; Turkov, D.; Wever, N.; Yuan, H. : Scientific and Human Errors in a Snow Model Intercomparison. In: Bulletin of the American Meteorological Society. Vol. 102 (2021) 1, E61-E79. (DOI: /10.1175/BAMS-D-19-0329.1)
Bulletin of the American Meteorological Society, American Meteorological Society, 2021, 102 (1), pp.E61-E79. ⟨10.1175/BAMS-D-19-0329.1⟩
Bulletin of the American Meteorological Society, 2021, 102 (1), pp.E61-E79. ⟨10.1175/BAMS-D-19-0329.1⟩
Twenty-seven models participated in the Earth System Model–Snow Model Intercomparison Project (ESM-SnowMIP), the most data-rich MIP dedicated to snow modeling. Our findings do not support the hypothesis advanced by previous snow MIPs: evaluating mo
Autor:
Cécile B. Ménard, Emanuele Santi, Paolo Pampaloni, Chris Derksen, M. Leduc-Leballeur, Michael Kern, Juha Lemmetyinen, Thomas Nagler, Nick Rutter, Melody Sandells, Joshua King, Juval Cohen, Francesco Montomoli, Marco Brogioni, Giovanni Macelloni, Helmut Rott, Richard Essery
Publikováno v:
Santi, E, Brogioni, M, Leduc-Leballeur, M, Macelloni, G, Macelloni, F, Pampaloni, P, Lemmetyinen, J, Cohen, J, Rott, H, Nagler, T, Derksen, C, King, J, Rutter, N, Essery, R, Menard, C, Sandells, M & Kern, M 2021, ' Exploiting the ANN Potential in Estimating Snow Depth and Snow Water Equivalent From the Airborne SnowSAR Data at X-and Ku-Bands ', IEEE Transactions on Geoscience and Remote Sensing . https://doi.org/10.1109/TGRS.2021.3086893
Within the framework of European Space Agency (ESA) activities, several campaigns were carried out in the last decade with the purpose of exploiting the capabilities of multifrequency synthetic aperture radar (SAR) data to retrieve snow information.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c22598fd5c232ac302ecb70ca5bb5e3e
https://hdl.handle.net/20.500.11820/822527d9-1008-411e-9e74-84cba1961df6
https://hdl.handle.net/20.500.11820/822527d9-1008-411e-9e74-84cba1961df6
The site level component of the Earth System Model – Snow Model Intercomparison Project has 28 participating model variants. We summarize model performance at the Boreal Ecosystem Research and Monitoring Sites (BERMS) Old Aspen (OAS), Old Black Spr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c68ba495a709009a7fc4a068eed59277
https://doi.org/10.5194/egusphere-egu21-949
https://doi.org/10.5194/egusphere-egu21-949
Publikováno v:
Environmental Research Letters, Vol 11, Iss 12, p 125013 (2016)
Previous studies have shown that climate warming is causing shrub cover to increase at high latitudes. Increased shrub cover generally lowers surface albedo, which results in higher energy absorption and further warming. In parts of Fennoscandia, her
Externí odkaz:
https://doaj.org/article/6c3b1a9c015841c4b2d7857153bd267e
Autor:
Cécile B. Ménard, Richard Essery, Alan Barr, Paul Bartlett, Jeff Derry, Marie Dumont, Charles Fierz, Hyungjun Kim, Anna Kontu, Yves Lejeune, Danny Marks, Masashi Niwano, Mark Raleigh, Libo Wang, Nander Wever
Publikováno v:
Ménard, C B, Essery, R, Barr, A, Bartlett, P, Derry, J, Dumont, M, Fierz, C, Kim, H, Kontu, A, Lejeune, Y, Marks, D, Niwano, M, Raleigh, M, Wang, L & Wever, N 2019, ' Meteorological and evaluation datasets for snow modelling at ten reference sites: description of in situ and bias-corrected reanalysis data ', Earth System Science Data Discussions, vol. 2019, pp. 1-34 . https://doi.org/10.5194/essd-2019-12
This paper describes in situ meteorological forcing and evaluation data, and bias-corrected reanalysis forcing data, for cold regions modelling at ten sites. The long-term datasets (one maritime, one arctic, three boreal and five mid-latitude alpine)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abb9fad3cd23dbc3d3edf3ff410b3ee3
https://www.earth-syst-sci-data-discuss.net/essd-2019-12/
https://www.earth-syst-sci-data-discuss.net/essd-2019-12/
Autor:
Cécile B. Ménard, Jouni Pulliainen, Ali Nadir Arslan, Mika Aurela, Jaakko Ikonen, Kimmo Rautiainen
Publikováno v:
Journal of Hydrometeorology. 16:2559-2576
A single-model 16-member ensemble is used to investigate how external model factors can affect model performance. Ensemble members are constructed with the land surface model (LSM) Joint UK Land Environment Simulator (JULES), with different choices o
Publikováno v:
Hydrology and Earth System Sciences, Vol 18, Iss 6, Pp 2375-2392 (2014)
Recent studies show that shrubs are colonizing higher latitudes and altitudes in the Arctic. Shrubs affect the wind transport, accumulation and melt of snow, but there have been few sensitivity studies of how shrub expansion might affect snowmelt rat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fa92c27afd922c4d316db870caa1267
https://www.hydrol-earth-syst-sci.net/18/2375/2014/
https://www.hydrol-earth-syst-sci.net/18/2375/2014/
Publikováno v:
Hydrology and Earth System Sciences, Vol 14, Iss 7, Pp 1331-1340 (2010)
Bewley, D, Essery, R, Pomeroy, J & Menard, C 2010, ' Measurements and modelling of snowmelt and turbulent heat fluxes over shrub tundra ', Hydrology and Earth System Sciences, vol. 14, no. 7, pp. 1331-1340 . https://doi.org/10.5194/hess-14-1331-2010
Bewley, D, Essery, R, Pomeroy, J & Menard, C 2010, ' Measurements and modelling of snowmelt and turbulent heat fluxes over shrub tundra ', Hydrology and Earth System Sciences, vol. 14, no. 7, pp. 1331-1340 . https://doi.org/10.5194/hess-14-1331-2010
Measurements of snowmelt and turbulent heat fluxes were made during the snowmelt periods of two years at two neighbouring tundra sites in the Yukon, one in a sheltered location with tall shrubs exposed above deep snow and the other in an exposed loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6877a52cc509ba21637ef37a7e469441
https://www.hydrol-earth-syst-sci.net/14/1331/2010/
https://www.hydrol-earth-syst-sci.net/14/1331/2010/
Publikováno v:
Essery, R, Kontu, A, Lemmetyinen, J, Dumont, M & Menard, C 2016, ' A 7-year dataset for driving and evaluating snow models at an arctic site (Sodankylä, Finland) ', Geoscientific Instrumentation, Methods and Data Systems . https://doi.org/10.5194/gi-5-219-2016
Geoscientific Instrumentation, Methods and Data Systems, Vol 5, Iss 1, Pp 219-227 (2016)
Geoscientific Instrumentation, Methods and Data Systems, Vol 5, Iss 1, Pp 219-227 (2016)
Datasets derived from measurements at Sodankylä, Finland, for driving and evaluating snow models are presented. This is the first time that such complete datasets have been made available for a site in the Arctic. The continuous October 2007–Septe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ce8c2c4e7155ced3b12ed203f06c4ed
https://www.geosci-instrum-method-data-syst.net/5/219/2016/
https://www.geosci-instrum-method-data-syst.net/5/219/2016/