Data-driven worldwide quantification of large-scale hydroclimatic co-variation patterns and comparison with reanalysis and Earth System modeling

2020 ◽  
Author(s):  
Navid Ghajarnia ◽  
Zahra Kalantari ◽  
Georgia Destouni
Keyword(s):  
Large Scale ◽  
System Modeling ◽  
Data Driven ◽  
Earth System ◽  
Earth System Modeling ◽  
Variation Patterns

scholarly journals Improving climate model coupling through a complete mesh representation: a case study with E3SM (v1) and MOAB (v5.x)

2020 ◽  
Vol 13 (5) ◽  
pp. 2355-2377
Author(s):  
Vijay S. Mahadevan ◽  
Iulian Grindeanu ◽  
Robert Jacob ◽  
Jason Sarich
Keyword(s):  
Large Scale ◽  
Climate Models ◽  
Climate Model ◽  
Climate Modeling ◽  
System Modeling ◽  
Spectral Element ◽  
Scientific Workflow ◽  
Model Coupling ◽  
Earth System ◽  
Modeling Framework

Abstract. One of the fundamental factors contributing to the spatiotemporal inaccuracy in climate modeling is the mapping of solution field data between different discretizations and numerical grids used in the coupled component models. The typical climate computational workflow involves evaluation and serialization of the remapping weights during the preprocessing step, which is then consumed by the coupled driver infrastructure during simulation to compute field projections. Tools like Earth System Modeling Framework (ESMF) (Hill et al., 2004) and TempestRemap (Ullrich et al., 2013) offer capability to generate conservative remapping weights, while the Model Coupling Toolkit (MCT) (Larson et al., 2001) that is utilized in many production climate models exposes functionality to make use of the operators to solve the coupled problem. However, such multistep processes present several hurdles in terms of the scientific workflow and impede research productivity. In order to overcome these limitations, we present a fully integrated infrastructure based on the Mesh Oriented datABase (MOAB) (Tautges et al., 2004; Mahadevan et al., 2015) library, which allows for a complete description of the numerical grids and solution data used in each submodel. Through a scalable advancing-front intersection algorithm, the supermesh of the source and target grids are computed, which is then used to assemble the high-order, conservative, and monotonicity-preserving remapping weights between discretization specifications. The Fortran-compatible interfaces in MOAB are utilized to directly link the submodels in the Energy Exascale Earth System Model (E3SM) to enable online remapping strategies in order to simplify the coupled workflow process. We demonstrate the superior computational efficiency of the remapping algorithms in comparison with other state-of-the-science tools and present strong scaling results on large-scale machines for computing remapping weights between the spectral element atmosphere and finite volume discretizations on the polygonal ocean grids.

scholarly journals A European Network for Earth System Modeling

Eos ◽  
2007 ◽  
Vol 88 (12) ◽  
pp. 143 ◽  
Author(s):  
Sophie Valcke ◽  
Reinhard Budich ◽  
Mick Carter ◽  
Eric Guilyardi ◽  
Marie-Alice Foujols ◽  
...  
Keyword(s):  
System Modeling ◽  
Earth System ◽  
European Network ◽  
Earth System Modeling

scholarly journals Bitwise identical compiling setup: prospective for reproducibility and reliability of Earth system modeling

2016 ◽  
Vol 9 (2) ◽  
pp. 731-748 ◽  
Author(s):  
R. Li ◽  
L. Liu ◽  
G. Yang ◽  
C. Zhang ◽  
B. Wang
Keyword(s):  
System Modeling ◽  
Computer Software ◽  
Scientific Research ◽  
Test Cases ◽  
Earth System ◽  
Earth System Modeling ◽  
Software Bugs ◽  
Fast Development ◽  
Software And Hardware ◽  
Simulation Results

Abstract. Reproducibility and reliability are fundamental principles of scientific research. A compiling setup that includes a specific compiler version and compiler flags is an essential technical support for Earth system modeling. With the fast development of computer software and hardware, a compiling setup has to be updated frequently, which challenges the reproducibility and reliability of Earth system modeling. The existing results of a simulation using an original compiling setup may be irreproducible by a newer compiling setup because trivial round-off errors introduced by the change in compiling setup can potentially trigger significant changes in simulation results. Regarding the reliability, a compiler with millions of lines of code may have bugs that are easily overlooked due to the uncertainties or unknowns in Earth system modeling. To address these challenges, this study shows that different compiling setups can achieve exactly the same (bitwise identical) results in Earth system modeling, and a set of bitwise identical compiling setups of a model can be used across different compiler versions and different compiler flags. As a result, the original results can be more easily reproduced; for example, the original results with an older compiler version can be reproduced exactly with a newer compiler version. Moreover, this study shows that new test cases can be generated based on the differences of bitwise identical compiling setups between different models, which can help detect software bugs in the codes of models and compilers and finally improve the reliability of Earth system modeling.

scholarly journals Global land use for 2015–2100 at 0.05° resolution under diverse socioeconomic and climate scenarios

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Min Chen ◽  
Chris R. Vernon ◽  
Neal T. Graham ◽  
Mohamad Hejazi ◽  
Maoyi Huang ◽  
...  
Keyword(s):  
Land Use ◽  
Global Change ◽  
System Modeling ◽  
Earth System ◽  
Analysis Model ◽  
Change Analysis ◽  
Rcp Scenarios ◽  
Earth System Modeling ◽  
Modeling Studies ◽  
Important Input

Abstract Global future land use (LU) is an important input for Earth system models for projecting Earth system dynamics and is critical for many modeling studies on future global change. Here we generated a new global gridded LU dataset using the Global Change Analysis Model (GCAM) and a land use spatial downscaling model, named Demeter, under the five Shared Socioeconomic Pathways (SSPs) and four Representative Concentration Pathways (RCPs) scenarios. Compared to existing similar datasets, the presented dataset has a higher spatial resolution (0.05° × 0.05°) and spreads under a more comprehensive set of SSP-RCP scenarios (in total 15 scenarios), and considers uncertainties from the forcing climates. We compared our dataset with the Land Use Harmonization version 2 (LUH2) dataset and found our results are in general spatially consistent with LUH2. The presented dataset will be useful for global Earth system modeling studies, especially for the analysis of the impacts of land use and land cover change and socioeconomics, as well as the characterizing the uncertainties associated with these impacts.

Ocean Chlorophyll as a Precursor of ENSO: An Earth System Modeling Study

2018 ◽  
Vol 45 (4) ◽  
pp. 1939-1947 ◽  
Author(s):  
Jong-Yeon Park ◽  
John P. Dunne ◽  
Charles A. Stock
Keyword(s):  
System Modeling ◽  
Earth System ◽  
Earth System Modeling ◽  
Modeling Study

Thoughts on Earth System Modeling: From global to regional scale

2017 ◽  
Vol 171 ◽  
pp. 456-462 ◽  
Author(s):  
Elisa Canepa ◽  
Peter J.H. Builtjes
Keyword(s):  
System Modeling ◽  
Regional Scale ◽  
Earth System ◽  
Earth System Modeling
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