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Current European flood-rich period exceptional compared with past 500 years 期刊论文
NATURE, 2020, 583 (7817) : 560-+
作者:  ;  nter Blö;  schl;  Andrea Kiss;  Alberto Viglione;  Mariano Barriendos;  Oliver Bö;  hm;  Rudolf Brá;  zdil;  Denis Coeur;  Gaston Demaré;  e;  Maria Carmen Llasat;  Neil Macdonald;  Dag Retsö;  Lars Roald;  Petra Schmocker-Fackel;  Inê;  s Amorim;  Monika Bě;  ;  nová;  Gerardo Benito;  Chiara Bertolin;  Dario Camuffo;  Daniel Cornel;  Radosł;  aw Doktor;  ;  bor Elleder;  Silvia Enzi;  Joã;  o Carlos Garcia;  ;  diger Glaser;  Julia Hall;  Klaus Haslinger;  Michael Hofstä;  tter;  ;  rgen Komma;  Danuta Limanó;  wka;  David Lun;  Andrei Panin;  Juraj Parajka;  Hrvoje Petrić;  Fernando S. Rodrigo;  Christian Rohr;  Johannes Schö;  nbein;  Lothar Schulte;  Luí;  s Pedro Silva;  Willem H. J. Toonen;  Peter Valent;  ;  rgen Waser;  Oliver Wetter
收藏  |  浏览/下载:80/0  |  提交时间:2020/08/09

There are concerns that recent climate change is altering the frequency and magnitude of river floods in an unprecedented way(1). Historical studies have identified flood-rich periods in the past half millennium in various regions of Europe(2). However, because of the low temporal resolution of existing datasets and the relatively low number of series, it has remained unclear whether Europe is currently in a flood-rich period from a long-term perspective. Here we analyse how recent decades compare with the flood history of Europe, using a new database composed of more than 100 high-resolution (sub-annual) historical flood series based on documentary evidence covering all major regions of Europe. We show that the past three decades were among the most flood-rich periods in Europe in the past 500 years, and that this period differs from other flood-rich periods in terms of its extent, air temperatures and flood seasonality. We identified nine flood-rich periods and associated regions. Among the periods richest in floods are 1560-1580 (western and central Europe), 1760-1800 (most of Europe), 1840-1870 (western and southern Europe) and 1990-2016 (western and central Europe). In most parts of Europe, previous flood-rich periods occurred during cooler-than-usual phases, but the current flood-rich period has been much warmer. Flood seasonality is also more pronounced in the recent period. For example, during previous flood and interflood periods, 41 per cent and 42 per cent of central European floods occurred in summer, respectively, compared with 55 per cent of floods in the recent period. The exceptional nature of the present-day flood-rich period calls for process-based tools for flood-risk assessment that capture the physical mechanisms involved, and management strategies that can incorporate the recent changes in risk.


Analysis of thousands of historical documents recording floods in Europe shows that flooding characteristics in recent decades are unlike those of previous centuries.


  
Patterns and trends of Northern Hemisphere snow mass from 1980 to 2018 期刊论文
NATURE, 2020, 581 (7808) : 294-+
作者:  Ibrahim, Nizar;  Maganuco, Simone;  Dal Sasso, Cristiano;  Fabbri, Matteo;  Auditore, Marco;  Bindellini, Gabriele;  Martill, David M.;  Zouhri, Samir;  Mattarelli, Diego A.;  Unwin, David M.;  Wiemann, Jasmina;  Bonadonna, Davide;  Amane, Ayoub;  Jakubczak, Juliana;  Joger, Ulrich;  Lauder, George V.;  Pierce, Stephanie E.
收藏  |  浏览/下载:34/0  |  提交时间:2020/05/25

Warming surface temperatures have driven a substantial reduction in the extent and duration of Northern Hemisphere snow cover(1-3). These changes in snow cover affect Earth'  s climate system via the surface energy budget, and influence freshwater resources across a large proportion of the Northern Hemisphere(4-6). In contrast to snow extent, reliable quantitative knowledge on seasonal snow mass and its trend is lacking(7-9). Here we use the new GlobSnow 3.0 dataset to show that the 1980-2018 annual maximum snow mass in the Northern Hemisphere was, on average, 3,062 +/- 35 billion tonnes (gigatonnes). Our quantification is for March (the month that most closely corresponds to peak snow mass), covers non-alpine regions above 40 degrees N and, crucially, includes a bias correction based on in-field snow observations. We compare our GlobSnow 3.0 estimates with three independent estimates of snow mass, each with and without the bias correction. Across the four datasets, the bias correction decreased the range from 2,433-3,380 gigatonnes (mean 2,867) to 2,846-3,062 gigatonnes (mean 2,938)-a reduction in uncertainty from 33% to 7.4%. On the basis of our bias-corrected GlobSnow 3.0 estimates, we find different continental trends over the 39-year satellite record. For example, snow mass decreased by 46 gigatonnes per decade across North America but had a negligible trend across Eurasia  both continents exhibit high regional variability. Our results enable a better estimation of the role of seasonal snow mass in Earth'  s energy, water and carbon budgets.


Applying a bias correction to a state-of-the-art dataset covering non-alpine regions of the Northern Hemisphere and to three other datasets yields a more constrained quantification of snow mass in March from 1980 to 2018.


  
How accurate are the performances of gridded precipitation data products over Northeast China? 期刊论文
ATMOSPHERIC RESEARCH, 2018, 211: 12-20
作者:  Faiz, Muhammad Abrar;  Liu, Dong;  Fu, Qiang;  Sun, Qiaohong;  Li, Mo;  Baig, Faisal;  Li, Tianxiao;  Cui, Song
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09
Precipitation  Concentration index  Climate change  Gridded datasets  
Long-term area-mean temperature series for SwitzerlandCombining homogenized station data and high resolution grid data 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (6) : 2792-2807
作者:  Begert, Michael;  Frei, Christoph
收藏  |  浏览/下载:22/0  |  提交时间:2019/04/09
area-mean temperature  climate monitoring  global temperature datasets  long-term climate variations  spatial climate analysis  temperature trend  
Climate data induced uncertainty in model-based estimations of terrestrial primary productivity 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2017, 12 (6)
作者:  Wu, Zhendong;  Ahlstrom, Anders;  Smith, Benjamin;  Ardo, Jonas;  Eklundh, Lars;  Fensholt, Rasmus;  Lehsten, Veiko
收藏  |  浏览/下载:32/0  |  提交时间:2019/04/09
climate datasets  GPP  uncertainty  LPJ-GUESS  apparent model sensitivity  climate data range  global carbon cycle