The Variable Infiltration Capacity model version 5 (VIC-5): infrastructure improvements for new applications and reproducibility
暂无分享,去创建一个
Joseph Hamman | Bart Nijssen | Theodore J. Bohn | T. Bohn | Bart Nijssen | J. Hamman | Yixin Mao | Yixin Mao | Diana Gergel | D. Gergel | Y. Mao
[1] D. Lettenmaier,et al. Assimilating remotely sensed snow observations into a macroscale hydrology model , 2006 .
[2] Rolf Hut,et al. Comment on “Most computational hydrology is not reproducible, so is it really science?” by Christopher Hutton et al.: Let hydrologists learn the latest computer science by working with Research Software Engineers (RSEs) and not reinvent the waterwheel ourselves , 2017 .
[3] D. Lettenmaier,et al. Effects of 20th century warming and climate variability on flood risk in the western U.S. , 2006 .
[4] Thorsten Wagener,et al. Reply to comment by Añel on “Most computational hydrology is not reproducible, so is it really science?”: REPLY TO COMMENT BY AÑEL , 2017 .
[5] J. Abatzoglou,et al. Effects of climate change on snowpack and fire potential in the western USA , 2017, Climatic Change.
[6] Rolf Hut,et al. Let hydrologists learn the latest computer science by working with Research Software Engineers (RSEs) and not reinvent the waterwheel ourselves. A comment to “Most Computational Hydrology is not Reproducible, so is it Really Science?” , 2017 .
[7] Dennis P. Lettenmaier,et al. Variable infiltration capacity cold land process model updates , 2003 .
[8] W. Oechel,et al. FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities , 2001 .
[9] Arun Kumar,et al. Long‐range experimental hydrologic forecasting for the eastern United States , 2002 .
[10] Eric F. Wood,et al. Global and Continental Drought in the Second Half of the Twentieth Century: Severity–Area–Duration Analysis and Temporal Variability of Large-Scale Events , 2009 .
[11] Enrique R. Vivoni,et al. Process‐based characterization of evapotranspiration sources over the North American monsoon region , 2016 .
[12] G. Powers,et al. A Description of the Advanced Research WRF Version 3 , 2008 .
[13] E. Wood,et al. Global Trends and Variability in Soil Moisture and Drought Characteristics, 1950–2000, from Observation-Driven Simulations of the Terrestrial Hydrologic Cycle , 2008 .
[14] Zong-Liang Yang,et al. The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) Phase 2(c) Red–Arkansas River basin experiment:: 1. Experiment description and summary intercomparisons , 1998 .
[15] Juan A. Añel,et al. Comment on “Most computational hydrology is not reproducible, so is it really science?” by Christopher Hutton et al. , 2017 .
[16] D. Lettenmaier,et al. Streamflow simulation for continental‐scale river basins , 1997 .
[17] Eric F. Wood,et al. Modeling ground heat flux in land surface parameterization schemes , 1999 .
[18] E. Wood,et al. Characteristics of global and regional drought, 1950–2000: Analysis of soil moisture data from off‐line simulation of the terrestrial hydrologic cycle , 2007 .
[19] Faisal Hossain,et al. How Much Can A Priori Hydrologic Model Predictability Help in Optimal Merging of Satellite Precipitation Products , 2011 .
[20] Eric F. Wood,et al. One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer variable infiltration capacity model , 1996 .
[21] S. Running,et al. Global evaluation of MTCLIM and related algorithms for forcing of ecological and hydrological models , 2013 .
[22] Dennis P. Lettenmaier,et al. Soil Moisture Drought in China, 1950–2006 , 2011 .
[23] Steven W. Running,et al. Strategies for measuring and modelling carbon dioxide and water vapour fluxes over terrestrial ecosystems , 1996 .
[24] Balaji Rajagopalan,et al. Are we unnecessarily constraining the agility of complex process‐based models? , 2015 .
[25] D. Lettenmaier,et al. Evaluation of the land surface water budget in NCEP/NCAR and NCEP/DOE reanalyses using an off‐line hydrologic model , 2001 .
[26] D. Mocko,et al. Simulation of high-latitude hydrological processes in the Torne-Kalix basin: PILPS phase 2(e) - 1: Experiment description and summary intercomparisons , 2003 .
[27] R. Dickinson,et al. The Project for Intercomparison of Land Surface Parameterization Schemes (PILPS): Phases 2 and 3 , 1993 .
[28] E. Wood,et al. Data Assimilation for Estimating the Terrestrial Water Budget Using a Constrained Ensemble Kalman Filter , 2006 .
[29] Eric F. Wood,et al. Predicting the Discharge of Global Rivers , 2001, Journal of Climate.
[30] Dennis P. Lettenmaier,et al. Drought Monitoring for Washington State: Indicators and Applications , 2011 .
[31] Martyn P. Clark,et al. DECLINING MOUNTAIN SNOWPACK IN WESTERN NORTH AMERICA , 2005 .
[32] Joseph Hamman,et al. The coastal streamflow flux in the Regional Arctic System Model , 2017 .
[33] E. Wood,et al. Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling , 2006 .
[34] Philippe Ciais,et al. A framework for benchmarking land models , 2012 .
[35] D. Lettenmaier,et al. Application of New Precipitation and Reconstructed Streamflow Products to Streamflow Trend Attribution in Northern Eurasia , 2008 .
[36] Dennis P. Lettenmaier,et al. A multimodel ensemble approach to assessment of climate change impacts on the hydrology and water resources of the Colorado River Basin , 2006 .
[37] Christopher Hutton,et al. Most computational hydrology is not reproducible, so is it really science? , 2016, Water Resources Research.
[38] Dennis P. Lettenmaier,et al. Effects of irrigation on the water and energy balances of the Colorado and Mekong river basins , 2006 .
[39] E. Wood,et al. The role of initial conditions and forcing uncertainties in seasonal hydrologic forecasting , 2009 .
[40] Jay Walter Larson,et al. The Model Coupling Toolkit: A New Fortran90 Toolkit for Building Multiphysics Parallel Coupled Models , 2005, Int. J. High Perform. Comput. Appl..
[41] D. Lettenmaier,et al. Effects of land cover change on streamflow in the interior Columbia River Basin (USA and Canada) , 2000 .
[42] Bart Nijssen,et al. BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management , 2014, Climatic Change.
[43] Dennis P. Lettenmaier,et al. Parameterization of Blowing-Snow Sublimation in a Macroscale Hydrology Model , 2004 .
[44] E. Wood,et al. A Drought Monitoring and Forecasting System for Sub-Sahara African Water Resources and Food Security , 2014 .
[45] Darrel C. Ince,et al. The case for open computer programs , 2012, Nature.
[46] Dennis P. Lettenmaier,et al. Modeling the Effects of Lakes and Wetlands on the Water Balance of Arctic Environments , 2010 .
[47] Eric F. Wood,et al. Assessing the skill of satellite‐based precipitation estimates in hydrologic applications , 2010 .
[48] D. Lettenmaier,et al. Change in spring snowmelt timing in Eurasian Arctic rivers , 2011 .
[49] Russ Rew,et al. NetCDF: an interface for scientific data access , 1990, IEEE Computer Graphics and Applications.
[50] L. Dagum,et al. OpenMP: an industry standard API for shared-memory programming , 1998 .
[51] W. Collins,et al. The Community Earth System Model: A Framework for Collaborative Research , 2013 .
[52] Felipe J. Colón-González,et al. Multimodel assessment of water scarcity under climate change , 2013, Proceedings of the National Academy of Sciences.
[53] D. Lettenmaier,et al. Streamflow simulations of the terrestrial Arctic domain , 2005 .
[54] J. Cassano,et al. Land Surface Climate in the Regional Arctic System Model , 2016 .
[55] Martyn P. Clark,et al. Effects of Temperature and Precipitation Variability on Snowpack Trends in the Western United States , 2005 .
[56] T. Barnett,et al. Potential impacts of a warming climate on water availability in snow-dominated regions , 2005, Nature.
[57] D. Lettenmaier,et al. A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States* , 2002 .
[58] Sujay V. Kumar,et al. Land information system: An interoperable framework for high resolution land surface modeling , 2006, Environ. Model. Softw..
[59] Yang Hong,et al. Evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) and Its Utility in Hydrologic Prediction in the La Plata Basin , 2008 .
[60] Mariana Vertenstein,et al. A new flexible coupler for earth system modeling developed for CCSM4 and CESM1 , 2012, Int. J. High Perform. Comput. Appl..
[61] Dag Lohmann,et al. A large‐scale horizontal routing model to be coupled to land surface parametrization schemes , 1996 .
[62] D. Cayan,et al. A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013 , 2015, Scientific Data.
[63] Dennis P. Lettenmaier,et al. Evaluating the Influence of Antecedent Soil Moisture on Variability of the North American Monsoon Precipitation in the Coupled MM5/VIC Modeling System , 2009 .
[64] P. Mote,et al. Twentieth-Century Trends in Runoff, Evapotranspiration, and Soil Moisture in the Western United States* , 2007 .
[65] Michael N. Fienen,et al. HESS Opinions: Repeatable research: what hydrologists can learn from the Duke cancer research scandal , 2016 .
[66] Eric F. Wood,et al. A Prototype Global Drought Information System Based on Multiple Land Surface Models , 2014 .
[67] Ian M. Mitchell,et al. Best Practices for Scientific Computing , 2012, PLoS biology.
[69] D. Lettenmaier,et al. A simple hydrologically based model of land surface water and energy fluxes for general circulation models , 1994 .
[70] Dennis P. Lettenmaier,et al. Hydrologic effects of frozen soils in the upper Mississippi River basin , 1999 .
[71] Bart Nijssen,et al. Effect of precipitation sampling error on simulated hydrological fluxes and states: Anticipating the Global Precipitation Measurement satellites , 2004 .
[72] Suzanne A. Pierce,et al. Toward the Geoscience Paper of the Future: Best practices for documenting and sharing research from data to software to provenance , 2016 .
[73] Bart Nijssen,et al. Global Retrospective Estimation of Soil Moisture Using the Variable Infiltration Capacity Land Surface Model, 1980–93 , 2001 .
[74] Göran Lindström,et al. Virtual laboratories: new opportunities for collaborative water science , 2014, Hydrology and Earth System Sciences.
[75] D. Lettenmaier,et al. Evaluating climate change over the Colorado River basin using regional climate models , 2011 .
[76] Remko Uijlenhoet,et al. Comment on “Most computational hydrology is not reproducible, so is it really science?” by Christopher Hutton et al. , 2017 .
[77] Dennis P. Lettenmaier,et al. EFFECTS OF CLIMATE CHANGE ON HYDROLOGY AND WATER RESOURCES IN THE COLUMBIA RIVER BASIN 1 , 1999 .
[78] D. Cayan,et al. The importance of warm season warming to western U.S. streamflow changes , 2011 .
[79] D. Lettenmaier,et al. The role of surface energy fluxes in pan-Arctic snow cover changes , 2011 .
[80] Dennis P. Lettenmaier,et al. Hydrologic impacts of climate change on the Nile River Basin: implications of the 2007 IPCC scenarios , 2010 .
[81] S. Running,et al. An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation , 1999 .
[82] Dennis P. Lettenmaier,et al. Modeling snow accumulation and ablation processes in forested environments , 2009 .
[83] D. Lettenmaier,et al. Hydrologic Sensitivity of Global Rivers to Climate Change , 2001 .
[84] Dennis P. Lettenmaier,et al. Predictability of seasonal runoff in the Mississippi River basin , 2003 .
[85] M. Wigmosta,et al. A distributed hydrology-vegetation model for complex terrain , 1994 .
[86] Dennis P. Lettenmaier,et al. Application of regional parameter estimation schemes to simulate the water balance of a large continental river , 1997 .
[87] Anthony Skjellum,et al. A High-Performance, Portable Implementation of the MPI Message Passing Interface Standard , 1996, Parallel Comput..