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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:35/0  |  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.


  
The Annual Cycle of Fractional Atmospheric Shortwave Absorption in Observations and Models: Spatial Structure, Magnitude, and Timing 期刊论文
JOURNAL OF CLIMATE, 2019, 32 (20) : 6729-6748
作者:  Schwarz, M.;  Folini, D.;  Yang, S.;  Wild, M.
收藏  |  浏览/下载:11/0  |  提交时间:2019/11/27
Energy budget  balance  Radiative fluxes  Shortwave radiation  Satellite observations  Surface observations  Seasonal cycle  
Insights into Decadal North Atlantic Sea Surface Temperature and Ocean Heat Content Variability from an Eddy-Permitting Coupled Climate Model 期刊论文
JOURNAL OF CLIMATE, 2019, 32 (18) : 6137-6161
作者:  Moat, B., I;  Sinha, B.;  Josey, S. A.;  Robson, J.;  Ortega, P.;  Sevellec, F.;  Holliday, N. P.;  McCarthy, G. D.;  New, A. L.;  Hirschi, J. J-M
收藏  |  浏览/下载:24/0  |  提交时间:2019/11/27
Atmosphere-ocean interaction  Climate variability  Energy budget  balance  Fluxes  Heat budgets  fluxes  Surface temperature  
Attributing Historical and Future Evolution of Radiative Feedbacks to Regional Warming Patterns using a Green's Function Approach: The Preeminence of the Western Pacific 期刊论文
JOURNAL OF CLIMATE, 2019, 32 (17) : 5471-5491
作者:  Dong, Yue;  Proistosescu, Cristian;  Armour, Kyle C.;  Battisti, David S.
收藏  |  浏览/下载:13/0  |  提交时间:2019/11/27
Sea surface temperature  Climate sensitivity  Energy budget  balance  Feedback  Radiation budgets  
Climatological influence of Eurasian winter surface conditions on the Asian and Indo-Pacific summer circulation in the NCEP CFSv2 seasonal reforecasts 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (8) : 3431-3453
作者:  Shukla, Ravi P.;  Huang, Bohua;  Dirmeyer, Paul A.;  Kinter, James L.;  Shin, Chul-Su;  Marx, L.
收藏  |  浏览/下载:23/0  |  提交时间:2019/11/26
atmospheric circulation  Eurasian snow  NCEP CFSv2  seasonal reforecasts  surface energy budget  
Comparing the Performance of the Maximum Entropy Production Model With a Land Surface Scheme in Simulating Surface Energy Fluxes 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (6) : 3279-3300
作者:  Alves, M.;  Music, B.;  Nadeau, D. F.;  Anctil, F.
收藏  |  浏览/下载:12/0  |  提交时间:2019/11/26
land surface model  surface energy budget  land-atmosphere interaction  turbulent fluxes  energy partitioning  
Stability and Sea State as Limiting Conditions for TKE Dissipation and Dissipative Heating 期刊论文
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2019, 76 (3) : 689-706
作者:  Smith, Andrew W.;  Haus, Brian K.;  Zhang, Jun A.
收藏  |  浏览/下载:24/0  |  提交时间:2019/04/09
Turbulence  Surface layer  Air-sea interaction  Energy budget/balance  Ship observations  Spectral analysis/models/distribution  
Evaluating a Coupled Phenology-Surface Energy Balance Model to Understand Stream-Subsurface Temperature Dynamics in a Mixed-Use Farmland Catchment 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (2) : 1675-1697
作者:  Qiu, Han;  Blaen, Phillip;  Comer-Warner, Sophie;  Hannah, David M.;  Krause, Stefan;  Phanikumar, Mantha S.
收藏  |  浏览/下载:22/0  |  提交时间:2019/11/26
catchment hydrology  stream temperature  hyporheic exchange  energy budget  surface-subsurface interactions  groundwater  
Intense Winter Surface Melt on an Antarctic Ice Shelf 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (15) : 7615-7623
作者:  Munneke, P. Kuipers;  Luckman, A. J.;  Bevan, S. L.;  Smeets, C. J. P. P.;  Gilbert, E.;  van den Broeke, M. R.;  Wang, W.;  Zender, C.;  Hubbard, B.;  Ashmore, D.;  Orr, A.;  King, J. C.;  Kulessa, B.
收藏  |  浏览/下载:21/0  |  提交时间:2019/04/09
surface energy budget  ice shelves  Antarctic Peninsula  ice shelf stability  
Development and Validation of a Long-Term, Global, Terrestrial Sensible Heat Flux Dataset 期刊论文
JOURNAL OF CLIMATE, 2018, 31 (15) : 6073-6095
作者:  Siemann, Amanda L.;  Chaney, Nathaniel;  Wood, Eric F.
收藏  |  浏览/下载:11/0  |  提交时间:2019/04/09
Atmosphere-land interaction  Energy budget  balance  Fluxes  Heat budgets  fluxes  Sensible heating  Surface fluxes