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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:18/0  |  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.


  
Impacts of Using State-of-the-Art Multivariate Bias Correction Methods on Hydrological Modeling Over North America 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Guo, Qiang;  Chen, Jie;  Zhang, Xunchang John;  Xu, Chong-Yu;  Chen, Hua
收藏  |  浏览/下载:8/0  |  提交时间:2020/05/13
multivariate bias correction methods  hydrological modeling  intervariable correlation  climate regimes  North America  
Assessment of Climate Change Impacts on Reservoir Storage Reliability, Resilience, and Vulnerability Using a Multivariate Frequency Bias Correction Approach 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Ha Nguyen;  Mehrotra, Rajeshwar;  Sharma, Ashish
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
frequency-based bias correction  multivariate bias correction  quantile mapping  hydrological climate change impacts  reservoir storage  
Time Scale Decomposition of Climate and Correction of Variability Using Synthetic Samples of Stable Distributions 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (5) : 3632-3658
作者:  Gomez-Garcia, M.;  Matsumura, A.;  Ogawada, D.;  Takahashi, K.
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/26
bias correction of climate models  stable distributions  time scales of climate variability  
The Dependence of Hydroclimate Projections in Snow-Dominated Regions of the Western United States on the Choice of Statistically Downscaled Climate Data 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (3) : 2279-2300
作者:  Alder, Jay R.;  Hostetler, Steven W.
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/26
hydroclimate  statistical downscaling  bias correction  model projections  
A Resampling Approach for Correcting Systematic Spatiotemporal Biases for Multiple Variables in a Changing Climate 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (1) : 754-770
作者:  Mehrotra, R.;  Sharma, A.
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/09
three-dimensional bias correction  spatiotemporal biases  resampling  aggregated time scales  quantile mapping  climate model  
Designing ecological climate change impact assessments to reflect key climatic drivers 期刊论文
GLOBAL CHANGE BIOLOGY, 2017, 23 (7)
作者:  Sofaer, Helen R.;  Barsugli, Joseph J.;  Jarnevich, Catherine S.;  Abatzoglou, John T.;  Talbert, Marian K.;  Miller, Brian W.;  Morisette, Jeffrey T.
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
climate bias-correction  climate change impacts  climate extremes  climate variability  delta method  ecological projections  
A parametric approach for simultaneous bias correction and high-resolution downscaling of climate model rainfall 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (3)
作者:  Mamalakis, Antonios;  Langousis, Andreas;  Deidda, Roberto;  Marrocu, Marino
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/09
precipitation  statistical bias correction  climate models  stochastic hydrology  rainfall extremes  geostatistics  regional frequency analysis  
A platform for probabilistic Multimodel and Multiproduct Streamflow Forecasting 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (1)
作者:  Roy, Tirthankar;  Serrat-Capdevila, Aleix;  Gupta, Hoshin;  Valdes, Juan
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/09
streamflow forecasting  satellite precipitation products  bias correction  model averaging  uncertainty analysis  real-time monitoring  MMSF