The parallel system for integrating impact models and sectors (pSIMS)

We present a framework for massively parallel simulations of climate impact models in agriculture and forestry: the parallel System for Integrating Impact Models and Sectors (pSIMS). This framework comprises a) tools for ingesting large amounts of data from various sources and standardizing them to a versatile and compact data type; b) tools for translating this standard data type into the custom formats required for point-based impact models in agriculture and forestry; c) a scalable parallel framework for performing large ensemble simulations on various computer systems, from small local clusters to supercomputers and even distributed grids and clouds; d) tools and data standards for reformatting outputs for easy analysis and visualization; and d) a methodology and tools for aggregating simulated measures to arbitrary spatial scales such as administrative districts (counties, states, nations) or relevant environmental demarcations such as watersheds and river-basins. We present the technical elements of this framework and the results of an example climate impact assessment and validation exercise that involved large parallel computations on XSEDE.

[1]  James W. Jones,et al.  Harmonization and translation of crop modeling data to ensure interoperability , 2014, Environ. Model. Softw..

[2]  C. Müller,et al.  Constraints and potentials of future irrigation water availability on agricultural production under climate change , 2013, Proceedings of the National Academy of Sciences.

[3]  Michael Q. Wang,et al.  A spatial modeling framework to evaluate domestic biofuel-induced potential land use changes and emissions. , 2014, Environmental science & technology.

[4]  Norman Paskin,et al.  Digital Object Identifiers for scientific data , 2005, Data Sci. J..

[5]  Senthold Asseng,et al.  An overview of APSIM, a model designed for farming systems simulation , 2003 .

[6]  David E. Bernholdt,et al.  The earth system grid: enabling access to multimodel climate simulation data. , 2009 .

[7]  Jimmy R. Williams,et al.  Simulating soil C dynamics with EPIC: Model description and testing against long-term data , 2006 .

[8]  Enli Wang,et al.  Large-scale, high-resolution agricultural systems modeling using a hybrid approach combining grid computing and parallel processing , 2013, Environ. Model. Softw..

[9]  M. Kirschbaum,et al.  CenW, a forest growth model with linked carbon, energy, nutrient and water cycles , 1999 .

[10]  Brett A. Bryan,et al.  High-performance computing tools for the integrated assessment and modelling of social-ecological systems , 2013, Environ. Model. Softw..

[11]  Liangzhi You,et al.  An entropy approach to spatial disaggregation of agricultural production , 2006 .

[12]  N. Ramankutty,et al.  Characterizing the Spatial Patterns of Global Fertilizer Application and Manure Production , 2010 .

[13]  N. Ramankutty,et al.  Closing yield gaps through nutrient and water management , 2012, Nature.

[14]  Paul Avery,et al.  The Open Science Grid , 2007 .

[15]  Ian T. Foster,et al.  Improving the efficiency of subset queries on raster images , 2011, HPDGIS '11.

[16]  James W. Jones,et al.  The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies , 2013 .

[17]  A. Nekrutenko,et al.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences , 2010, Genome Biology.

[18]  D. Deryng,et al.  Simulating the effects of climate and agricultural management practices on global crop yield , 2011 .

[19]  Justin M. Wozniak,et al.  Coasters: Uniform Resource Provisioning and Access for Clouds and Grids , 2011, 2011 Fourth IEEE International Conference on Utility and Cloud Computing.

[20]  Jeffrey A. Nichols,et al.  Application note: HPC-EPIC for high resolution simulations of environmental and sustainability assessment , 2011 .

[21]  Gianni Bellocchi,et al.  Application note: High-performance computing for climate change impact studies with the Pasture Simulation model , 2013 .

[22]  Zhao Zhang,et al.  Parallel Scripting for Applications at the Petascale and Beyond , 2009, Computer.

[23]  A. Solomon,et al.  Modeling the potential change in yield and distribution of the earth's crops under a warmed climate , 1993 .

[24]  R. Dalal,et al.  APSIM's water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems , 1998 .

[25]  Jimmy R. Williams,et al.  GEPIC - modelling wheat yield and crop water productivity with high resolution on a global scale , 2007 .

[26]  C. Müller,et al.  Climate‐driven simulation of global crop sowing dates , 2012 .

[27]  Predicting Agricultural Impacts of Large-Scale Drought: 2012 and the Case for Better Modeling , 2013 .

[28]  P. Döll,et al.  MIRCA2000—Global monthly irrigated and rainfed crop areas around the year 2000: A new high‐resolution data set for agricultural and hydrological modeling , 2010 .

[29]  Brett A. Bryan,et al.  Application note: Parallelization and optimization of spatial analysis for large scale environmental model data assembly , 2012 .

[30]  D. Deryng,et al.  Crop planting dates: an analysis of global patterns. , 2010 .

[31]  G. K. Rutledge,et al.  NOMADS A Climate and Weather Model Archive at the National Oceanic and Atmospheric Administration , 2006 .

[32]  Daniel C. Stanzione,et al.  Building an environment to facilitate discoveries for plant sciences , 2011, GCE '11.

[33]  John Bresnahan,et al.  Managing appliance launches in infrastructure clouds , 2011, TG.

[34]  Boris Kompare,et al.  Environmental Modelling & Software , 2014 .

[35]  James W. Jones,et al.  Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison , 2013, Proceedings of the National Academy of Sciences.

[36]  S. Carpenter,et al.  Solutions for a cultivated planet , 2011, Nature.

[37]  C. Müller,et al.  Modelling the role of agriculture for the 20th century global terrestrial carbon balance , 2007 .

[38]  James W. Jones,et al.  The DSSAT cropping system model , 2003 .

[39]  Stina Teilmann-Lock Constraints and Potentials of Law: Design and Copyright , 2014 .

[40]  P. Kyle,et al.  The Agricultural Model Intercomparison and Improvement Project (AgMIP) Town Hall , 2015 .