TY  - JOUR
A1  - Warrington, Nicole
A1  - Beaumont, Robin
A1  - Horikoshi, Momoko
A1  - Day, Felix R.
A1  - Helgeland, Øyvind
A1  - Laurin, Charles
A1  - Bacelis, Jonas
A1  - Peng, Shouneng
A1  - Hao, Ke
A1  - Feenstra, Bjarke
A1  - Wood, Andrew R.
A1  - Mahajan, Anubha
A1  - Tyrrell, Jessica
A1  - Robertson, Neil R.
A1  - Rayner, N. William
A1  - Qiao, Zhen
A1  - Moen, Gunn-Helen
A1  - Vaudel, Marc
A1  - Marsit, Carmen
A1  - Chen, Jia
A1  - Nodzenski, Michael
A1  - Schnurr, Theresia M.
A1  - Zafarmand, Mohammad Hadi
A1  - Bradfield, Jonathan P.
A1  - Grarup, Niels
A1  - Kooijman, Marjolein N.
A1  - Li-Gao, Ruifang
A1  - Geller, Frank
A1  - Ahluwalia, Tarunveer Singh
A1  - Paternoster, Lavinia
A1  - Rueedi, Rico
A1  - Huikari, Ville
A1  - Hottenga, Jouke-Jan
A1  - Lyytikäinen, Leo-Pekka
A1  - Cavadino, Alana
A1  - Metrustry, Sarah
A1  - Cousminer, Diana L.
A1  - Wu, Ying
A1  - Thiering, Elisabeth Paula
A1  - Wang, Carol A.
A1  - Have, Christian Theil
A1  - Vilor-Tejedor, Natalia
A1  - Joshi, Peter K.
A1  - Painter, Jodie N.
A1  - Ntalla, Ioanna
A1  - Myhre, Ronny
A1  - Pitkänen, Niina
A1  - van Leeuwen, Elisabeth M.
A1  - Joro, Raimo
A1  - Lagou, Vasiliki
A1  - Richmond, Rebecca C.
A1  - Espinosa, Ana
A1  - Barton, Sheila J.
A1  - Inskip, Hazel M.
A1  - Holloway, John W.
A1  - Santa-Marina, Loreto
A1  - Estivill, Xavier
A1  - Ang, Wei
A1  - Marsh, Julie A.
A1  - Reichetzeder, Christoph
A1  - Marullo, Letizia
A1  - Hocher, Berthold
A1  - Lunetta, Kathryn L.
A1  - Murabito, Joanne M.
A1  - Relton, Caroline L.
A1  - Kogevinas, Manolis
A1  - Chatzi, Leda
A1  - Allard, Catherine
A1  - Bouchard, Luigi
A1  - Hivert, Marie-France
A1  - Zhang, Ge
A1  - Muglia, Louis J.
A1  - Heikkinen, Jani
A1  - Morgen, Camilla S.
A1  - van Kampen, Antoine H. C.
A1  - van Schaik, Barbera D. C.
A1  - Mentch, Frank D.
A1  - Langenberg, Claudia
A1  - Scott, Robert A.
A1  - Zhao, Jing Hua
A1  - Hemani, Gibran
A1  - Ring, Susan M.
A1  - Bennett, Amanda J.
A1  - Gaulton, Kyle J.
A1  - Fernandez-Tajes, Juan
A1  - van Zuydam, Natalie R.
A1  - Medina-Gomez, Carolina
A1  - de Haan, Hugoline G.
A1  - Rosendaal, Frits R.
A1  - Kutalik, Zoltán
A1  - Marques-Vidal, Pedro
A1  - Das, Shikta
A1  - Willemsen, Gonneke
A1  - Mbarek, Hamdi
A1  - Müller-Nurasyid, Martina
A1  - Standl, Marie
A1  - Appel, Emil V. R.
A1  - Fonvig, Cilius Esmann
A1  - Trier, Caecilie
A1  - van Beijsterveldt, Catharina E. M.
A1  - Murcia, Mario
A1  - Bustamante, Mariona
A1  - Bonàs-Guarch, Sílvia
A1  - Hougaard, David M.
A1  - Mercader, Josep M.
A1  - Linneberg, Allan
A1  - Schraut, Katharina E.
A1  - Lind, Penelope A.
A1  - Medland, Sarah Elizabeth
A1  - Shields, Beverley M.
A1  - Knight, Bridget A.
A1  - Chai, Jin-Fang
A1  - Panoutsopoulou, Kalliope
A1  - Bartels, Meike
A1  - Sánchez, Friman
A1  - Stokholm, Jakob
A1  - Torrents, David
A1  - Vinding, Rebecca K.
A1  - Willems, Sara M.
A1  - Atalay, Mustafa
A1  - Chawes, Bo L.
A1  - Kovacs, Peter
A1  - Prokopenko, Inga
A1  - Tuke, Marcus A.
A1  - Yaghootkar, Hanieh
A1  - Ruth, Katherine S.
A1  - Jones, Samuel E.
A1  - Loh, Po-Ru
A1  - Murray, Anna
A1  - Weedon, Michael N.
A1  - Tönjes, Anke
A1  - Stumvoll, Michael
A1  - Michaelsen, Kim Fleischer
A1  - Eloranta, Aino-Maija
A1  - Lakka, Timo A.
A1  - van Duijn, Cornelia M.
A1  - Kiess, Wieland
A1  - Koerner, Antje
A1  - Niinikoski, Harri
A1  - Pahkala, Katja
A1  - Raitakari, Olli T.
A1  - Jacobsson, Bo
A1  - Zeggini, Eleftheria
A1  - Dedoussis, George V.
A1  - Teo, Yik-Ying
A1  - Saw, Seang-Mei
A1  - Montgomery, Grant W.
A1  - Campbell, Harry
A1  - Wilson, James F.
A1  - Vrijkotte, Tanja G. M.
A1  - Vrijheid, Martine
A1  - de Geus, Eco J. C. N.
A1  - Hayes, M. Geoffrey
A1  - Kadarmideen, Haja N.
A1  - Holm, Jens-Christian
A1  - Beilin, Lawrence J.
A1  - Pennell, Craig E.
A1  - Heinrich, Joachim
A1  - Adair, Linda S.
A1  - Borja, Judith B.
A1  - Mohlke, Karen L.
A1  - Eriksson, Johan G.
A1  - Widen, Elisabeth E.
A1  - Hattersley, Andrew T.
A1  - Spector, Tim D.
A1  - Kaehoenen, Mika
A1  - Viikari, Jorma S.
A1  - Lehtimaeki, Terho
A1  - Boomsma, Dorret I.
A1  - Sebert, Sylvain
A1  - Vollenweider, Peter
A1  - Sorensen, Thorkild I. A.
A1  - Bisgaard, Hans
A1  - Bonnelykke, Klaus
A1  - Murray, Jeffrey C.
A1  - Melbye, Mads
A1  - Nohr, Ellen A.
A1  - Mook-Kanamori, Dennis O.
A1  - Rivadeneira, Fernando
A1  - Hofman, Albert
A1  - Felix, Janine F.
A1  - Jaddoe, Vincent W. V.
A1  - Hansen, Torben
A1  - Pisinger, Charlotta
A1  - Vaag, Allan A.
A1  - Pedersen, Oluf
A1  - Uitterlinden, Andre G.
A1  - Jarvelin, Marjo-Riitta
A1  - Power, Christine
A1  - Hypponen, Elina
A1  - Scholtens, Denise M.
A1  - Lowe, William L.
A1  - Smith, George Davey
A1  - Timpson, Nicholas J.
A1  - Morris, Andrew P.
A1  - Wareham, Nicholas J.
A1  - Hakonarson, Hakon
A1  - Grant, Struan F. A.
A1  - Frayling, Timothy M.
A1  - Lawlor, Debbie A.
A1  - Njolstad, Pal R.
A1  - Johansson, Stefan
A1  - Ong, Ken K.
A1  - McCarthy, Mark I.
A1  - Perry, John R. B.
A1  - Evans, David M.
A1  - Freathy, Rachel M.
T1  - Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors
JF  - Nature genetics
N2  - Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.
Y1  - 2019
SN  - 1061-4036
SN  - 1546-1718
VL  - 51
IS  - 5
SP  - 804
EP  - +
PB  - Nature Publ. Group
CY  - New York
ER  - 
TY  - JOUR
A1  - Taal, H. Rob
A1  - St Pourcain, Beate
A1  - Thiering, Elisabeth
A1  - Das, Shikta
A1  - Mook-Kanamori, Dennis O.
A1  - Warrington, Nicole M.
A1  - Kaakinen, Marika
A1  - Kreiner-Moller, Eskil
A1  - Bradfield, Jonathan P.
A1  - Freathy, Rachel M.
A1  - Geller, Frank
A1  - Guxens, Monica
A1  - Cousminer, Diana L.
A1  - Kerkhof, Marjan
A1  - Timpson, Nicholas J.
A1  - Ikram, M. Arfan
A1  - Beilin, Lawrence J.
A1  - Bonnelykke, Klaus
A1  - Buxton, Jessica L.
A1  - Charoen, Pimphen
A1  - Chawes, Bo Lund Krogsgaard
A1  - Eriksson, Johan
A1  - Evans, David M.
A1  - Hofman, Albert
A1  - Kemp, John P.
A1  - Kim, Cecilia E.
A1  - Klopp, Norman
A1  - Lahti, Jari
A1  - Lye, Stephen J.
A1  - McMahon, George
A1  - Mentch, Frank D.
A1  - Mueller-Nurasyid, Martina
A1  - O'Reilly, Paul F.
A1  - Prokopenko, Inga
A1  - Rivadeneira, Fernando
A1  - Steegers, Eric A. P.
A1  - Sunyer, Jordi
A1  - Tiesler, Carla
A1  - Yaghootkar, Hanieh
A1  - Breteler, Monique M. B.
A1  - Debette, Stephanie
A1  - Fornage, Myriam
A1  - Gudnason, Vilmundur
A1  - Launer, Lenore J.
A1  - van der Lugt, Aad
A1  - Mosley, Thomas H.
A1  - Seshadri, Sudha
A1  - Smith, Albert V.
A1  - Vernooij, Meike W.
A1  - Blakemore, Alexandra I. F.
A1  - Chiavacci, Rosetta M.
A1  - Feenstra, Bjarke
A1  - Fernandez-Banet, Julio
A1  - Grant, Struan F. A.
A1  - Hartikainen, Anna-Liisa
A1  - van der Heijden, Albert J.
A1  - Iniguez, Carmen
A1  - Lathrop, Mark
A1  - McArdle, Wendy L.
A1  - Molgaard, Anne
A1  - Newnham, John P.
A1  - Palmer, Lyle J.
A1  - Palotie, Aarno
A1  - Pouta, Annneli
A1  - Ring, Susan M.
A1  - Sovio, Ulla
A1  - Standl, Marie
A1  - Uitterlinden, Andre G.
A1  - Wichmann, H-Erich
A1  - Vissing, Nadja Hawwa
A1  - DeCarli, Charles
A1  - van Duijn, Cornelia M.
A1  - McCarthy, Mark I.
A1  - Koppelman, Gerard H.
A1  - Estivill, Xavier
A1  - Hattersley, Andrew T.
A1  - Melbye, Mads
A1  - Bisgaard, Hans
A1  - Pennell, Craig E.
A1  - Widen, Elisabeth
A1  - Hakonarson, Hakon
A1  - Smith, George Davey
A1  - Heinrich, Joachim
A1  - Jarvelin, Marjo-Riitta
A1  - Jaddoe, Vincent W. V.
A1  - Adair, Linda S.
A1  - Ang, Wei
A1  - Atalay, Mustafa
A1  - van Beijsterveldt, Toos
A1  - Bergen, Nienke
A1  - Benke, Kelly
A1  - Berry, Diane J.
A1  - Bradfield, Jonathan P.
A1  - Charoen, Pimphen
A1  - Coin, Lachlan
A1  - Cousminer, Diana L.
A1  - Das, Shikta
A1  - Davis, Oliver S. P.
A1  - Elliott, Paul
A1  - Evans, David M.
A1  - Feenstra, Bjarke
A1  - Flexeder, Claudia
A1  - Frayling, Tim
A1  - Freathy, Rachel M.
A1  - Gaillard, Romy
A1  - Geller, Frank
A1  - Groen-Blokhuis, Maria
A1  - Goh, Liang-Kee
A1  - Guxens, Monica
A1  - Haworth, Claire M. A.
A1  - Hadley, Dexter
A1  - Hebebrand, Johannes
A1  - Hinney, Anke
A1  - Hirschhorn, Joel N.
A1  - Holloway, John W.
A1  - Holst, Claus
A1  - Hottenga, Jouke Jan
A1  - Horikoshi, Momoko
A1  - Huikari, Ville
A1  - Hypponen, Elina
A1  - Iniguez, Carmen
A1  - Kaakinen, Marika
A1  - Kilpelainen, Tuomas O.
A1  - Kirin, Mirna
A1  - Kowgier, Matthew
A1  - Lakka, Hanna-Maaria
A1  - Lange, Leslie A.
A1  - Lawlor, Debbie A.
A1  - Lehtimaki, Terho
A1  - Lewin, Alex
A1  - Lindgren, Cecilia
A1  - Lindi, Virpi
A1  - Maggi, Reedik
A1  - Marsh, Julie
A1  - Middeldorp, Christel
A1  - Millwood, Iona
A1  - Mook-Kanamori, Dennis O.
A1  - Murray, Jeffrey C.
A1  - Nivard, Michel
A1  - Nohr, Ellen Aagaard
A1  - Ntalla, Ioanna
A1  - Oken, Emily
A1  - O'Reilly, Paul F.
A1  - Palmer, Lyle J.
A1  - Panoutsopoulou, Kalliope
A1  - Pararajasingham, Jennifer
A1  - Prokopenko, Inga
A1  - Rodriguez, Alina
A1  - Salem, Rany M.
A1  - Sebert, Sylvain
A1  - Siitonen, Niina
A1  - Sovio, Ulla
A1  - St Pourcain, Beate
A1  - Strachan, David P.
A1  - Sunyer, Jordi
A1  - Taal, H. Rob
A1  - Teo, Yik-Ying
A1  - Thiering, Elisabeth
A1  - Tiesler, Carla
A1  - Uitterlinden, Andre G.
A1  - Valcarcel, Beatriz
A1  - Warrington, Nicole M.
A1  - White, Scott
A1  - Willemsen, Gonneke
A1  - Yaghootkar, Hanieh
A1  - Zeggini, Eleftheria
A1  - Boomsma, Dorret I.
A1  - Cooper, Cyrus
A1  - Estivill, Xavier
A1  - Gillman, Matthew
A1  - Grant, Struan F. A.
A1  - Hakonarson, Hakon
A1  - Hattersley, Andrew T.
A1  - Heinrich, Joachim
A1  - Hocher, Berthold
A1  - Jaddoe, Vincent W. V.
A1  - Jarvelin, Marjo-Riitta
A1  - Lakka, Timo A.
A1  - McCarthy, Mark I.
A1  - Melbye, Mads
A1  - Mohlke, Karen L.
A1  - Dedoussis, George V.
A1  - Ong, Ken K.
A1  - Pearson, Ewan R.
A1  - Pennell, Craig E.
A1  - Price, Thomas S.
A1  - Power, Chris
A1  - Raitakari, Olli T.
A1  - Saw, Seang-Mei
A1  - Scherag, Andre
A1  - Simell, Olli
A1  - Sorensen, Thorkild I. A.
A1  - Timpson, Nicholas J.
A1  - Widen, Elisabeth
A1  - Wilson, James F.
A1  - Ang, Wei
A1  - van Beijsterveldt, Toos
A1  - Bergen, Nienke
A1  - Benke, Kelly
A1  - Berry, Diane J.
A1  - Bradfield, Jonathan P.
A1  - Charoen, Pimphen
A1  - Coin, Lachlan
A1  - Cousminer, Diana L.
A1  - Das, Shikta
A1  - Elliott, Paul
A1  - Evans, David M.
A1  - Frayling, Tim
A1  - Freathy, Rachel M.
A1  - Gaillard, Romy
A1  - Groen-Blokhuis, Maria
A1  - Guxens, Monica
A1  - Hadley, Dexter
A1  - Hottenga, Jouke Jan
A1  - Huikari, Ville
A1  - Hypponen, Elina
A1  - Kaakinen, Marika
A1  - Kowgier, Matthew
A1  - Lawlor, Debbie A.
A1  - Lewin, Alex
A1  - Lindgren, Cecilia
A1  - Marsh, Julie
A1  - Middeldorp, Christel
A1  - Millwood, Iona
A1  - Mook-Kanamori, Dennis O.
A1  - Nivard, Michel
A1  - O'Reilly, Paul F.
A1  - Palmer, Lyle J.
A1  - Prokopenko, Inga
A1  - Rodriguez, Alina
A1  - Sebert, Sylvain
A1  - Sovio, Ulla
A1  - St Pourcain, Beate
A1  - Standl, Marie
A1  - Strachan, David P.
A1  - Sunyer, Jordi
A1  - Taal, H. Rob
A1  - Thiering, Elisabeth
A1  - Tiesler, Carla
A1  - Uitterlinden, Andre G.
A1  - Valcarcel, Beatriz
A1  - Warrington, Nicole M.
A1  - White, Scott
A1  - Willemsen, Gonneke
A1  - Yaghootkar, Hanieh
A1  - Boomsma, Dorret I.
A1  - Estivill, Xavier
A1  - Grant, Struan F. A.
A1  - Hakonarson, Hakon
A1  - Hattersley, Andrew T.
A1  - Heinrich, Joachim
A1  - Jaddoe, Vincent W. V.
A1  - Jarvelin, Marjo-Riitta
A1  - McCarthy, Mark I.
A1  - Pennell, Craig E.
A1  - Power, Chris
A1  - Timpson, Nicholas J.
A1  - Widen, Elisabeth
A1  - Ikram, M. Arfan
A1  - Fornage, Myriam
A1  - Smith, Albert V.
A1  - Seshadri, Sudha
A1  - Schmidt, Reinhold
A1  - Debette, Stephanie
A1  - Vrooman, Henri A.
A1  - Sigurdsson, Sigurdur
A1  - Ropele, Stefan
A1  - Coker, Laura H.
A1  - Longstreth, W. T.
A1  - Niessen, Wiro J.
A1  - DeStefano, Anita L.
A1  - Beiser, Alexa
A1  - Zijdenbos, Alex P.
A1  - Struchalin, Maksim
A1  - Jack, Clifford R.
A1  - Nalls, Mike A.
A1  - Au, Rhoda
A1  - Hofman, Albert
A1  - Gudnason, Haukur
A1  - van der Lugt, Aad
A1  - Harris, Tamara B.
A1  - Meeks, William M.
A1  - Vernooij, Meike W.
A1  - van Buchem, Mark A.
A1  - Catellier, Diane
A1  - Gudnason, Vilmundur
A1  - Windham, B. Gwen
A1  - Wolf, Philip A.
A1  - van Duijn, Cornelia M.
A1  - Mosley, Thomas H.
A1  - Schmidt, Helena
A1  - Launer, Lenore J.
A1  - Breteler, Monique M. B.
A1  - DeCarli, Charles
T1  - Common variants at 12q15 and 12q24 are associated with infant head circumference
JF  - Nature genetics
N2  - To identify genetic variants associated with head circumference in infancy, we performed a meta-analysis of seven genome-wide association studies (GWAS) (N = 10,768 individuals of European ancestry enrolled in pregnancy and/or birth cohorts) and followed up three lead signals in six replication studies (combined N = 19,089). rs7980687 on chromosome 12q24 (P = 8.1 x 10(-9)) and rs1042725 on chromosome 12q15 (P = 2.8 x 10(-10)) were robustly associated with head circumference in infancy. Although these loci have previously been associated with adult height(1), their effects on infant head circumference were largely independent of height (P = 3.8 x 10(-7) for rs7980687 and P = 1.3 x 10(-7) for rs1042725 after adjustment for infant height). A third signal, rs11655470 on chromosome 17q21, showed suggestive evidence of association with head circumference (P = 3.9 x 10(-6)). SNPs correlated to the 17q21 signal have shown genome-wide association with adult intracranial volume(2), Parkinson's disease and other neurodegenerative diseases(3-5), indicating that a common genetic variant in this region might link early brain growth with neurological disease in later life.
Y1  - 2012
U6  - https://doi.org/10.1038/ng.2238
SN  - 1061-4036
VL  - 44
IS  - 5
SP  - 532
EP  - +
PB  - Nature Publ. Group
CY  - New York
ER  - 
TY  - JOUR
A1  - Sunyer, M. A.
A1  - Hundecha, Y.
A1  - Lawrence, D.
A1  - Madsen, H.
A1  - Willems, Patrick
A1  - Martinkova, M.
A1  - Vormoor, Klaus Josef
A1  - Bürger, Gerd
A1  - Hanel, M.
A1  - Kriauciuniene, J.
A1  - Loukas, A.
A1  - Osuch, M.
A1  - Yucel, I.
T1  - Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe
JF  - Hydrology and earth system sciences : HESS
N2  - Information on extreme precipitation for future climate is needed to assess the changes in the frequency and intensity of flooding. The primary source of information in climate change impact studies is climate model projections. However, due to the coarse resolution and biases of these models, they cannot be directly used in hydrological models. Hence, statistical downscaling is necessary to address climate change impacts at the catchment scale.
 This study compares eight statistical downscaling methods (SDMs) often used in climate change impact studies. Four methods are based on change factors (CFs), three are bias correction (BC) methods, and one is a perfect prognosis method. The eight methods are used to downscale precipitation output from 15 regional climate models (RCMs) from the ENSEMBLES project for 11 catchments in Europe. The overall results point to an increase in extreme precipitation in most catchments in both winter and summer. For individual catchments, the downscaled time series tend to agree on the direction of the change but differ in the magnitude. Differences between the SDMs vary between the catchments and depend on the season analysed. Similarly, general conclusions cannot be drawn regarding the differences between CFs and BC methods. The performance of the BC methods during the control period also depends on the catchment, but in most cases they represent an improvement compared to RCM outputs. Analysis of the variance in the ensemble of RCMs and SDMs indicates that at least 30% and up to approximately half of the total variance is derived from the SDMs. This study illustrates the large variability in the expected changes in extreme precipitation and highlights the need for considering an ensemble of both SDMs and climate models. Recommendations are provided for the selection of the most suitable SDMs to include in the analysis.
Y1  - 2015
U6  - https://doi.org/10.5194/hess-19-1827-2015
SN  - 1027-5606
SN  - 1607-7938
VL  - 19
IS  - 4
SP  - 1827
EP  - 1847
PB  - Copernicus
CY  - Göttingen
ER  - 
TY  - GEN
A1  - Sunyer, M. A.
A1  - Hundecha, Y.
A1  - Lawrence, D.
A1  - Madsen, H.
A1  - Willems, Patrick
A1  - Martinkova, M.
A1  - Vormoor, Klaus Josef
A1  - Bürger, Gerd
A1  - Hanel, Martin
A1  - Kriaučiūnienė, J.
A1  - Loukas, A.
A1  - Osuch, M.
A1  - Yücel, I.
T1  - Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe
T2  - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - Information on extreme precipitation for future climate is needed to assess the changes in the frequency and intensity of flooding. The primary source of information in climate change impact studies is climate model projections. However, due to the coarse resolution and biases of these models, they cannot be directly used in hydrological models. Hence, statistical downscaling is necessary to address climate change impacts at the catchment scale.

This study compares eight statistical downscaling methods (SDMs) often used in climate change impact studies. Four methods are based on change factors (CFs), three are bias correction (BC) methods, and one is a perfect prognosis method. The eight methods are used to downscale precipitation output from 15 regional climate models (RCMs) from the ENSEMBLES project for 11 catchments in Europe. The overall results point to an increase in extreme precipitation in most catchments in both winter and summer. For individual catchments, the downscaled time series tend to agree on the direction of the change but differ in the magnitude. Differences between the SDMs vary between the catchments and depend on the season analysed. Similarly, general conclusions cannot be drawn regarding the differences between CFs and BC methods. The performance of the BC methods during the control period also depends on the catchment, but in most cases they represent an improvement compared to RCM outputs. Analysis of the variance in the ensemble of RCMs and SDMs indicates that at least 30% and up to approximately half of the total variance is derived from the SDMs. This study illustrates the large variability in the expected changes in extreme precipitation and highlights the need for considering an ensemble of both SDMs and climate models. Recommendations are provided for the selection of the most suitable SDMs to include in the analysis.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 512 
KW  - climate-change impacts
KW  - model output
KW  - assessing uncertainties
KW  - multimodel ensemble
KW  - bias correction
KW  - simulations
KW  - scenarios
KW  - variability
KW  - basin
KW  - UK
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-408920
SN  - 1866-8372
IS  - 512
ER  - 
TY  - GEN
A1  - Ellis, S. C.
A1  - Bauer, S.
A1  - Bacigalupo, C.
A1  - Bland-Hawthorn, J.
A1  - Bryant, J. J.
A1  - Case, S.
A1  - Content, R.
A1  - Fechner, T.
A1  - Giannone, D.
A1  - Haynes, R.
A1  - Hernandez, E.
A1  - Horton, A. J.
A1  - Klauser, U.
A1  - Lawrence, J. S.
A1  - Leon-Saval, S. G.
A1  - Lindley, E.
A1  - Löhmannsröben, Hans-Gerd
A1  - Min, S. -S.
A1  - Pai, N.
A1  - Roth, M.
A1  - Shortridge, K.
A1  - Waller, L.
A1  - Xavier, Pascal
A1  - Zhelem, Ross
T1  - PRAXIS: an OH suppression optimised near infrared spectrograph
T2  - Ground-based and Airborne Instrumentation for Astronomy VII
N2  - The problem of atmospheric emission from OH molecules is a long standing problem for near-infrared astronomy. PRAXIS is a unique spectrograph which is fed by fibres that remove the OH background and is optimised specifically to benefit from OH-Suppression. The OH suppression is achieved with fibre Bragg gratings, which were tested successfully on the GNOSIS instrument. PRAXIS uses the same fibre Bragg gratings as GNOSIS in its first implementation, and will exploit new, cheaper and more efficient, multicore fibre Bragg gratings in the second implementation. The OH lines are suppressed by a factor of similar to 1000, and the expected increase in the signal-to-noise in the interline regions compared to GNOSIS is a factor of similar to 9 with the GNOSIS gratings and a factor of similar to 17 with the new gratings. PRAXIS will enable the full exploitation of OH suppression for the first time, which was not achieved by GNOSIS (a retrofit to an existing instrument that was not OH-Suppression optimised) due to high thermal emission, low spectrograph transmission and detector noise. PRAXIS has extremely low thermal emission, through the cooling of all significantly emitting parts, including the fore-optics, the fibre Bragg gratings, a long length of fibre, and the fibre slit, and an optical design that minimises leaks of thermal emission from outside the spectrograph. PRAXIS has low detector noise through the use of a Hawaii-2RG detector, and a high throughput through a efficient VPH based spectrograph. PRAXIS will determine the absolute level of the interline continuum and enable observations of individual objects via an IFU. In this paper we give a status update and report on acceptance tests.
KW  - Near infrared
KW  - spectroscopy
KW  - OH suppression
KW  - astrophotonics
KW  - fibre Bragg gratings
Y1  - 2018
SN  - 978-1-5106-1958-6
U6  - https://doi.org/10.1117/12.2311898
SN  - 0277-786X
SN  - 1996-756X
VL  - 10702
PB  - SPIE-INT Soc Optical Engineering
CY  - Bellingham
ER  - 
TY  - JOUR
A1  - Westphal, Niko
A1  - Charles, Christopher D.
A1  - Cobb, Kim M.
A1  - Cheng, Hai
A1  - Edwards, R. Lawrence
A1  - Haug, Gerald H.
T1  - ENSO record in mid-late Holocene fossil corals from Line Islands : forced response or internal variability?
Y1  - 2009
UR  - http://www.sciencedirect.com/science/journal/00167037
U6  - https://doi.org/10.1016/j.gca.2009.05.027
SN  - 0016-7037
ER  - 
TY  - JOUR
A1  - Bland-Hawthorn, Joss
A1  - Ellis, S. C.
A1  - Leon-Saval, S. G.
A1  - Haynes, R.
A1  - Roth, Martin M.
A1  - Löhmannsröben, Hans-Gerd
A1  - Horton, A. J.
A1  - Cuby, J. -G.
A1  - Birks, T. A.
A1  - Lawrence, J. S.
A1  - Gillingham, P.
A1  - Ryder, S. D.
A1  - Trinh, C.
T1  - A complex multi-notch astronomical filter to suppress the bright infrared sky
JF  - Nature Communications
N2  - A long-standing and profound problem in astronomy is the difficulty in obtaining deep near-infrared observations due to the extreme brightness and variability of the night sky at these wavelengths. A solution to this problem is crucial if we are to obtain the deepest possible observations of the early Universe, as redshifted starlight from distant galaxies appears at these wavelengths. The atmospheric emission between 1,000 and 1,800 nm arises almost entirely from a forest of extremely bright, very narrow hydroxyl emission lines that varies on timescales of minutes. The astronomical community has long envisaged the prospect of selectively removing these lines, while retaining high throughput between them. Here we demonstrate such a filter for the first time, presenting results from the first on-sky tests. Its use on current 8 m telescopes and future 30 m telescopes will open up many new research avenues in the years to come.
Y1  - 2011
U6  - https://doi.org/10.1038/ncomms1584
SN  - 2041-1723
VL  - 2
IS  - 50
PB  - Nature Publ. Group
CY  - London
ER  - 
TY  - JOUR
A1  - Schneider von Deimling, Thomas
A1  - Meinshausen, Malte
A1  - Levermann, Anders
A1  - Huber, Veronika
A1  - Frieler, Katja
A1  - Lawrence, D. M.
A1  - Brovkin, Victor
T1  - Estimating the near-surface permafrost-carbon feedback on global warming
JF  - Biogeosciences
N2  - Thawing of permafrost and the associated release of carbon constitutes a positive feedback in the climate system, elevating the effect of anthropogenic GHG emissions on global-mean temperatures. Multiple factors have hindered the quantification of this feedback, which was not included in climate carbon-cycle models which participated in recent model intercomparisons (such as the Coupled Carbon Cycle Climate Model Intercomparison Project - (CMIP)-M-4). There are considerable uncertainties in the rate and extent of permafrost thaw, the hydrological and vegetation response to permafrost thaw, the decomposition timescales of freshly thawed organic material, the proportion of soil carbon that might be emitted as carbon dioxide via aerobic decomposition or as methane via anaerobic decomposition, and in the magnitude of the high latitude amplification of global warming that will drive permafrost degradation. Additionally, there are extensive and poorly characterized regional heterogeneities in soil properties, carbon content, and hydrology. Here, we couple a new permafrost module to a reduced complexity carbon-cycle climate model, which allows us to perform a large ensemble of simulations. The ensemble is designed to span the uncertainties listed above and thereby the results provide an estimate of the potential strength of the feedback from newly thawed permafrost carbon. For the high CO2 concentration scenario (RCP8.5), 33-114 GtC (giga tons of Carbon) are released by 2100 (68% uncertainty range). This leads to an additional warming of 0.04-0.23 degrees C. Though projected 21st century permafrost carbon emissions are relatively modest, ongoing permafrost thaw and slow but steady soil carbon decomposition means that, by 2300, about half of the potentially vulnerable permafrost carbon stock in the upper 3 m of soil layer (600-1000 GtC) could be released as CO2, with an extra 1-4% being released as methane. Our results also suggest that mitigation action in line with the lower scenario RCP3-PD could contain Arctic temperature increase sufficiently that thawing of the permafrost area is limited to 9-23% and the permafrost-carbon induced temperature increase does not exceed 0.04-0.16 degrees C by 2300.
Y1  - 2012
U6  - https://doi.org/10.5194/bg-9-649-2012
SN  - 1726-4170
SN  - 1726-4189
VL  - 9
IS  - 2
SP  - 649
EP  - 665
PB  - Copernicus
CY  - Göttingen
ER  -