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Benefits of Explicit Treatment of Zero Flows in Probabilistic Hydrological Modeling of Ephemeral Catchments 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (12) : 11035-11060
作者:  McInerney, David;  Kavetski, Dmitri;  Thyer, Mark;  Lerat, Julien;  Kuczera, George
收藏  |  浏览/下载：8/0  |  提交时间：2020/02/16
probabilistic streamflow prediction  ephemeral catchments  residual error model  zero flow  censoring approach  Box-Cox transformation  
Complex refractive indices and single-scattering albedo of global dust aerosols in the shortwave spectrum and relationship to size and iron content 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (24) : 15503-15531
作者:  Di Biagio, Claudia;  Formenti, Paola;  Balkanski, Yves;  Caponi, Lorenzo;  Cazaunau, Mathieu;  Pangui, Edouard;  Journet, Emilie;  Nowak, Sophie;  Andreae, Meinrat O.;  Kandler, Konrad;  Saeed, Thuraya;  Piketh, Stuart;  Seibert, David;  Williams, Earle;  Doussin, Jean-Francois
收藏  |  浏览/下载：10/0  |  提交时间：2020/02/17
Advancing global change biology through experimental manipulations: Where have we been and where might we go? 期刊论文
GLOBAL CHANGE BIOLOGY, 2020, 26 (1) : 287-299
作者:  Hanson, Paul J.;  Walker, Anthony P.
收藏  |  浏览/下载：10/0  |  提交时间：2020/02/17
elevated CO2  environment  experiments  models as hypotheses  nutrients  ozone  temperature  warming  water availability  
Changes in future rainfall extremes over Northeast Bangladesh: A Bayesian model averaging approach 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019
作者:  Abul Basher, Md;  Islam, A. K. M. Saiful;  Stiller-Reeve, Mathew A.;  Chu, Pao-Shin
收藏  |  浏览/下载：9/0  |  提交时间：2020/02/17
Bayesian model averaging  climate change  multi-model ensemble mean  rainfall extremes  regional climate models  representative concentration pathways  
Improving the CPC's ENSO Forecasts using Bayesian model averaging 期刊论文
CLIMATE DYNAMICS, 2019, 53: 3373-3385
作者:  Zhang, Hanpei;  Chu, Pao-Shin;  He, Luke;  Unger, David
收藏  |  浏览/下载：4/0  |  提交时间：2019/11/27
Pre-stratified modelling plus residuals kriging reduces the uncertainty of aboveground biomass estimation and spatial distribution in heterogeneous savannas and forest environments 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 445: 96-109
作者:  Silveira, Eduarda M. O.;  Espirito Santo, Fernando D.;  Wulder, Michael A.;  Acerbi Junior, Fausto W.;  Carvalho, Monica C.;  Mello, Carlos R.;  Mello, Jose M.;  Shimabukuro, Yosio E.;  Nunes Santos Terra, Marcela Castro;  Carvalho, Luis Marcelo T.;  Scolforo, Jose R. S.
收藏  |  浏览/下载：5/0  |  提交时间：2019/11/27
AGB  Random forests  Brazilian biomes  Climate  Seasonality  
Information Theory for Model Diagnostics: Structural Error is Indicated Trade-Off Between Functional and Predictive Performance 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (8) : 6534-6554
作者:  Ruddell, Benjamin L.;  Drewry, Darren T.;  Nearing, Grey S.
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/27
Salinity Yield Modeling of the Upper Colorado River Basin Using 30-m Resolution Soil Maps and Random Forests 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (6) : 4954-4973
作者:  Nauman, Travis W.;  Ely, Christopher P.;  Miller, Matthew P.;  Duniway, Michael C.
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/26
water quality  digital soil mapping  electrical conductivity  salinity control  SPARROW  Colorado River  
Bayesian calibration of a carbon balance model PREBAS using data from permanent growth experiments and national forest inventory 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 440: 208-257
作者:  Minunno, Francesco;  Peltoniemi, Mikko;  Harkonen, Sanna;  Kalliokoski, Tuomo;  Makinen, Harri;  Makela, Annikki
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/26
Process-based model  Data assimilation  Bayesian calibration  Forest carbon cycle  Forest inventory data  Permanent growth experiments  
Statistical Postprocessing of Water Level Forecasts Using Bayesian Model Averaging With Doubly Truncated Normal Components 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (5) : 3997-4013
作者:  Baran, Sandor;  Hemri, Stephan;  El Ayari, Mehrez
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/26
Bayesian model averaging  Box-Cox transformation  ensemble model output statistics  ensemble postprocessing  probabilistic forecasting  truncated normal distribution