Szczegóły

Tytuł artykułu

Climate projections in the Hornsund area, Southern Spitsbergen

Tytuł czasopisma

Polish Polar Research

Rocznik

2016

Wolumin

vol. 37

Numer

No 3

Autorzy

Słowa kluczowe

Arctic ; climate change ; climate projections ; Svalbard

Wydział PAN

Nauki o Ziemi

Zakres

379-402

Wydawca

Polish Academy of Sciences ; Committee on Polar Research

Data

2016

Typ

Artykuły / Articles

Identyfikator

DOI: 10.1515/popore-2016-0020 ; ISSN 0138-0338 ; eISSN 2081-8262

Źródło

Polish Polar Research; 2016; vol. 37; No 3; 379-402

Referencje

GIORGI (2009), Addressing climate information needs at the regional level : the CORDEX framework, WMO Bulletin, 58, 175. ; MANN (1945), Nonparametric tests against trend, Econometrica, 13, 245, doi.org/10.2307/1907187 ; GLISAN (2014), WRF summer extreme daily precipitation over the CORDEX Arctic :, Journal of Geophysical Research Atmospheres, 119, 1720, doi.org/10.1002/2013JD020697 ; KATTSOV (2000), Twentieth - century trends of Arctic precipitation from observational data and a climate model simulation, Journal of Climate, 13, 1362, doi.org/10.1175/1520-0442(2000)013<1362:TCTOAP>2.0.CO;2 ; NAKICENOVIC (2000), CAN Emissions Scenarios A Special Report of Working Group III of the Intergovernmental Panel on Climate Change Cambridge University Press United Kingdom and New York, USA, 599. ; PRZYBYLAK (2003), Scenarios of the Arctic Future Climate In Ed The Climate of the Arctic Volume of series Atmospheric and, Oceanographic Sciences Library, 245. ; COHEN (2014), Recent Arctic amplification and extreme mid - latitude weather, Nature Geoscience, 7, 627, doi.org/10.1038/ngeo2234 ; KUNDZEWICZ (2004), Change detection in hydrological records - a review of the methodology, Hydrological Sciences Journal, 49, 7, doi.org/10.1623/hysj.49.1.7.53993 ; SUNYER (2015), Inter - comparison of statistical downscaling methods for projection of extreme precipitation in Europe and, Hydrology Earth System Sciences, 19, 1827, doi.org/10.5194/hess-19-1827-2015 ; EHRET (2012), Should we apply bias correction to global and regional climate model data and, Hydrology Earth System Sciences, 16, 3391, doi.org/10.5194/hess-16-3391-2012 ; MOSS (2010), The next generation of scenarios for climate change research and assessment, Nature, 463. ; RINKE (2008), Simulated circum - Arctic climate changes by the end of the st century and, Global Planetary Change, 62, 173, doi.org/10.1016/j.gloplacha.2008.01.004 ; KENDALL (1975), Rank Correlation Methods Charles Griffi, London, 260. ; WIBIG (2014), How does the areal averaging influence the extremes ? The content of gridded observation data sets, Meteorologisch Zeitschrift, 23, 181, doi.org/10.1127/0941-2948/2014/0470 ; STOCKER (2013), Climate Change The Physical Science Basis Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change Cambridge University Press United Kingdom and New York, USA, 1535. ; MUERTH (2013), On the need for bias correction in regional climate scenarios to assess climate change impacts on river runoff and, Hydrology Earth System Sciences, 17, 1189, doi.org/10.5194/hess-17-1189-2013 ; GLISAN (2013), Effects of spectral nudging in WRF on Arctic temperature and precipitation simulations, Journal of Climate, 26, 3985, doi.org/10.1175/JCLI-D-12-00318.1 ; MATTHES (2011), Sensitivity of high - resolution Arctic regional climate model projections to different implementations of land surface processes, Climatic Change, 111, 197, doi.org/10.1007/s10584-011-0138-1 ; Bednorz (2013), Summer mean daily air temperature extremes in Central Spitsbergen and, Theoretical Applied Climatology, 113, 471, doi.org/10.1007/s00704-012-0798-4 ; MADSEN (2014), Review of trend analysis and climate change projections of extreme precipitation and floods in Europe of, Journal Hydrology, 519. ; VORMOOR (2015), Climate change impacts on the seasonality and generation processes of fl oods - projections and uncertainties for catchments with mixed snowmelt / rainfall regimes and, Hydrology Earth System Sciences, 19, 913, doi.org/10.5194/hess-19-913-2015 ; RINKE (2011), Arctic RCM simulations of temperature and precipitation derived indices relevant to future frozen ground conditions and, Global Planetary Change, 80, 136. ; SERREZE (2009), The emergence of surface - based Arctic amplification, Cryosphere, 3, 11, doi.org/10.5194/tc-3-11-2009 ; OVERLAND (2011), Warm Arctic - cold continents : climate impacts of the newly open Arctic Sea, Polar Research, 30, 15787, doi.org/10.3402/polar.v30i0.15787 ; TEUTSCHBEIN (2013), Is bias correction of regional climate model ( RCM simulations possible for nonstationary conditions and, Hydrology Earth System Sciences, 17, 5061, doi.org/10.5194/hess-17-5061-2013 ; GNANADESIKAN (2006), Diagnosing atmosphere - ocean general circulation model errors relevant to the terrestrial biosphere using the Köppen climate classification, Geophysical Research Letters, 33, doi.org/10.1029/2006GL028098 ; WAWRZYNIAK (2016), Modelling of the thermal regime of permafrost during in Hornsund Svalbard, Polish Polar Research, 37, 1990, doi.org/10.1515/popore-2016-0013 ; OSUCH (2016), Trends in projections of standardized precipitation indices in a future climate in Poland and, Hydrology Earth System Sciences, 20, 1947, doi.org/10.5194/hess-20-1947-2016 ; HAMED (1998), A modifi ed Mann - Kendall trend test for autocorrelated data, Journal of Hydrology, 204, 182, doi.org/10.1016/S0022-1694(97)00125-X ; PRZYBYLAK (2014), Spatial distribution of air temperature measurements on Svalbard during year with campaign measurements, International Journal of Climatology, 34, 3702, doi.org/10.1002/joc.3937 ; MILLER (2010), Arctic amplification : can the past constrain the future, Quaternary Science Reviews, 29, 1779, doi.org/10.1016/j.quascirev.2010.02.008 ; SOLOMON (2007), Climate change Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change Cambridge University Press United Kingdom and New York, USA, 996. ; CHRISTENSEN (2008), On the need for bias correction of regional climate change projections of temperature and precipitation, Geophysical Research Letters, 35, 20709, doi.org/10.1029/2008GL035694 ; KOENIGK (2015), Arctic climate change in an ensemble of regional CORDEX simulations, Polar Research, 34, 24603, doi.org/10.3402/polar.v34.24603 ; RINKE (2006), Evaluation of an ensemble of Arctic regional climate models : Spatiotemporal fields during the SHEBA year, Climate Dynamics, 26, 459, doi.org/10.1007/s00382-005-0095-3

Rada naukowa


Editorial Advisory Board


Angelika BRANDT (Hamburg),

Claude DE BROYER (Bruxelles),

Peter CONVEY (Cambridge, UK),

J. Alistair CRAME (Cambridge, UK),

Rodney M. FELDMANN (Kent, OH),

Jane E. FRANCIS (Cambridge, UK),

Andrzej GAŹDZICKI (Warszawa)

Aleksander GUTERCH (Warszawa),

Jacek JANIA (Sosnowiec),

Jiří KOMÁREK (Třeboň),

Wiesława KRAWCZYK (Sosnowiec),

German L. LEITCHENKOV (Sankt Petersburg),

Jerónimo LÓPEZ-MARTINEZ (Madrid),

Sergio A. MARENSSI (Buenos Aires),

Jerzy NAWROCKI (Warszawa),

Ryszard OCHYRA (Kraków),

Maria OLECH (Kraków)

Sandra PASSCHIER (Montclair, NJ),

Jan PAWŁOWSKI (Genève),

Gerhard SCHMIEDL (Hamburg),

Jacek SICIŃSKI (Łódź),

Michael STODDART (Hobart),

Witold SZCZUCIŃSKI (Poznań),

Andrzej TATUR (Warszawa),

Wim VADER (Tromsø),

Tony R. WALKER (Halifax, Nova Scotia),

Jan Marcin WĘSŁAWSKI (Sopot) - President.

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