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October 2020

FROM THE PROGRAM MANAGER

Welcome to RGMAgram!

Welcome to the first edition of RGMAgram. This quarterly newsletter will deliver important news and information while featuring the research activities and the people of RGMA ... As many of you know, the RGMA PI Meeting is October 13 to 16. A benefit of the virtual meeting format is that it opens sessions to more participants. It is also a great way to communicate with the RGMA team and colleagues through active participation. Read the full column.

Renu Joseph, Program Manager

PROGRAM NEWS

HiLAT-RASM: Analyzing the Models that Simulate Polar Processes—Progress in 2020

Environmental changes in the world’s polar regions are happening faster than anywhere else on the globe. The HiLAT-RASM Science Focus Area focuses on analyzing simulations of conditions and processes in the Arctic and Southern Ocean. Read more.

Get Ready for the RGMA PI Meeting

The upcoming RGMA Principal Investigators (PI) Meeting will take place virtually. It will be held via video conferencing from October 13 to 16. Read more.

RGMA Scientists Receive DOE Early Career Awards

Christina Patricola and Trevor Keenan have received funding for their RGMA-focused research as a part of the DOE Office of Science’s Early Career Research Program. Read more.

New Funding for Earth System Model Development & Analysis

DOE recently strengthened its support of earth system model development and analysis with $7 million in funding for nine studies through the RGMA and Earth System Model Development (ESMD) program areas. Read more.

Navigating the Science of Atmospheric Rivers

Discover how RGMA-supported research is advancing the understanding of atmospheric rivers—large sections of the atmosphere full of water vapor—in water and climate cycles. Read more.

Why Is Climate More Sensitive in the Latest Models?

RGMA-funded scientists studied why the latest earth system models indicate that the planet’s equilibrium climate sensitivity is greater than previous generations of models predicted. Read more.

Speeding Progress Toward Climate Model Collaboration

How can scientists collaborate to analyze and compare petabytes of data from around the world on a short deadline? A group of RGMA scientists took an innovative path to a solution—a hackathon. Read more.

Cristiana Stan Joins EESM

Cristiana Stan recently joined DOE's Earth and Environmental System Modeling (EESM) program under an intergovernmental personnel act (IPA) assignment from George Mason University. Read more.

RESEARCH HIGHLIGHTS

The following represent a small portion of RGMA research highlights published over the past few months. For a complete list of RGMA highlights, see our research highlights page. And if you're an RGMA-funded scientist, be sure to submit your research highlights here

Trans-Disciplinary Review of Deep Learning for Water Resources Scientists


In this review of the progress of deep learning (DL) for water resources applications, researchers found that DL can help address several major new and old challenges facing research in water sciences.

Bayesian Inference for High-Dimensional Nonstationary Gaussian Processes


Researchers developed software for conducting fully Bayesian analysis for general classes of nonstationary Gaussian process models, which are an extremely popular tool in spatial and environmental statistics.

Evaluating Tropical Cyclone Simulation in the Energy Exascale Earth System Model


This study shows that the high-resolution version of E3SM is a valuable tool for tropical cyclone-related research as it represents characteristics relevant to predicting hurricane impacts.

Aquaplanets as a Framework
for Examination of Aerosol Effects


Through a series of experiments, this study demonstrates that altering the geographic pattern of aerosol emissions leads to different radiative forcing. Most of this forcing arises through aerosol-cloud interactions.

Human Influence on Joint Changes in Temperature, Rainfall and Continental Aridity


Scientists used climate model simulations and observational data to reveal that since 1950, human-produced greenhouse gases and particulate pollution have influenced global changes in aridity.

New Global Maps of Soil Radiocarbon and Carbon Mean Age Indicate Turnover is Too Rapid in Models


Researchers created global maps of soil radiocarbon and carbon mean age and compared estimates with land models, which simulated younger soil and more rapid carbon turnover.

EVENTS & MEETINGS

Do you have a meeting or event to share? Let us know, and we’ll help spread the word. Visit the EESM website for more meetings of interest.


NOAA-DOE Workshop on Precipitation Processes and Predictability: This online community workshop, scheduled from November 30 to December 2, 2020, is jointly organized by the National Oceanic and Atmospheric Administration (NOAA) and DOE in partnership with the U.S. Global Change Research Program (USGCRP) and U.S. Climate Variability and Predictability (CLIVAR). The focus will be on sub-seasonal to multidecadal timescales.
2020 American Geophysical Union (AGU) Fall Meeting: AGU 2020 is scheduled online for December 1 to 17. Be sure to check the website often, as AGU is innovating new approaches to make over 1,000 hours of virtual content available.
2021 American Meteorological Society (AMS) Annual Meeting: The 101st AMS Annual Meeting is scheduled online for January 10 to 14, 2021.
Workshop on Improvement and Calibration of Clouds in Models: This meeting is scheduled for April 12 to 16, 2021 in Toulouse, France. 
International Conference on Clouds and Precipitation 2020: This conference is postponed until 2021. The abstract submission system will reopen later this year, so abstracts from the 2020 conference can be revised or new abstracts can be submitted.

PUBLICATIONS

Below are RGMA-related publications from the past quarter. For a complete list of journal articles and other recent publications, see our publications list. If you are an RGMA-funded scientist, be sure to submit your publications here.


Duan, S, P Ullrich, and L Shu. 2020. "Using Convolutional Neural Networks for Streamflow Projection in California." Frontiers in Water 2. https://doi.org/10.3389/frwa.2020.00028
Rhoades, A, A Jones, A Srivastava, H Huang, T O'Brien, C Patricola, P Ullrich, M Wehner, and Y Zhou. 2020. "The Shifting Scales of Western U.S. Landfalling Atmospheric Rivers Under Climate Change."  Geophysical Research Letters. https://doi.org/10.1029/2020GL089096
Wehner, M, P Gleckler, and J Lee. 2020. "Characterization of Long Period Return Values of Extreme Daily Temperature and Precipitation in the CMIP6 Models: Part 1, Model Evaluation." Weather and Climate Extremes 30: 100283. https://doi.org/10.1016/j.wace.2020.100283.
Wehner, M. 2020. "Characterization of Long Period Return Values of Extreme Daily Temperature and Precipitation in the CMIP6 models: Part 2, Projections of Future Change." Weather and Climate Extremes 100284. https://doi.org/10.1016/j.wace.2020.100284.
Clement Kinney, J, W Maslowski, R Osinski, M Jin, M Frants, N Jeffery, and Y Lee. 2020. "Hidden Production: On the Importance of Pelagic Phytoplankton Blooms Beneath Arctic Sea Ice." Journal of Geophysical Research: Oceans 125(9). https://doi.org/10.1029/2020jc016211.
Yang, C, FM Hoffman, DM Ricciuto, S Tilmes, L Xia, DG MacMartin, B Kravitz, JH Richter, M Mills, and JS Fu. 2020. "Assessing Terrestrial Biogeochemical Feedbacks in a Strategically Geoengineered Climate." Environmental Research Letters. https://doi.org/10.1088/1748-9326/abacf7.
Balaguru, K, C Patricola, S Hagos, L Leung, and L Dong. 2020. "Enhanced Predictability of Eastern North Pacific Tropical Cyclone Activity Using the ENSO Longitude Index." Geophysical Research Letters 47(16). https://doi.org/10.1029/2020gl088849.
Srivastava, A, R Grotjahn, and P Ullrich. 2020. "Evaluation of Historical CMIP6 Model Simulations of Extreme Precipitation Over Contiguous US Regions." Weather and Climate Extremes 29: 100268. https://doi.org/10.1016/j.wace.2020.100268.
Bretherton, C, and P Caldwell. 2020. "Combining Emergent Constraints for Climate Sensitivity." Journal of Climate 33(17): 7413-7430. https://doi.org/10.1175/jcli-d-19-0911.1.
Hu, Z, A Hu, Y Hu, and N Rosenbloom. 2020. "Budgets for Decadal Variability in Pacific Ocean Heat Content." Journal of Climate 33(17): 7663-7678. https://doi.org/10.1175/jcli-d-19-0360.1.
Barthelmie, R, T Shepherd, J Aird, and S Pryor. 2020. "Power and Wind Shear Implications of Large Wind Turbine Scenarios in the US Central Plains." Energies 13(16): 4269. https://doi.org/10.3390/en13164269.
Silvy, Y, E Guilyardi, J Sallee, and P Durack. 2020. "Human-Induced Changes to the Global Ocean Water Masses and Their Time of Emergence." Nature Climate Change. https://doi.org/10.1038/s41558-020-0878-x.
Xu, X, G Jia, X Zhang, W Riley, and Y Xue. 2020. "Climate regime shift and forest loss amplify fire in Amazonian forests." Global Change Biology. https://doi.org/10.1111/gcb.15279.
Luo, X, and TF Keenan. 2020. "Global Evidence for the Acclimation of Ecosystem Photosynthesis to Light." Nature Ecology & Evolution. https://doi.org/10.1038/s41559-020-1258-7.
Shi, Z, SD Allison, Y He, PA Levine, AM Hoyt, J Beem-Miller, Q Zhu, WR Wieder, S Trumbore, and JT Randerson. 2020. "The age distribution of global soil carbon inferred from radiocarbon measurements." Nature Geoscience 13(8): 555-559. https://doi.org/10.1038/s41561-020-0596-z.
Middlemas, E, J Kay, B Medeiros, and E Maroon. 2020. "Quantifying the Influence of Cloud Radiative Feedbacks on Arctic Surface Warming Using Cloud Locking in an Earth System Model." Geophysical Research Letters 47(15). https://doi.org/10.1029/2020gl089207.
Paloczy, A, J McClean, S Gille, and H Wang. 2020. "The Large-Scale Vorticity Balance of the Antarctic Continental Margin in a Fine-Resolution Global Simulation." Journal of Physical Oceanography 50(8): 2173-2188. https://doi.org/10.1175/jpo-d-19-0307.1.
Pryor, S, and J Schoof. 2020. "Differential Credibility Assessment for Statistical Downscaling." Journal of Applied Meteorology and Climatology 59(8): 1333-1349. https://doi.org/10.1175/jamc-d-19-0296.1.
Balaguru, K, L Leung, L Van Roekel, J Golaz, P Ullrich, P Caldwell, S Hagos, B Harrop, and A Mametjanov. 2020. "Characterizing Tropical Cyclones in the Energy Exascale Earth System Model Version 1." Journal of Advances in Modeling Earth Systems 12(8). https://doi.org/10.1029/2019ms002024.
Griffith, D, C Osborne, E Edwards, S Bachle, D Beerling, W Bond, T Gallaher, et al. 2020. "Lineage‐Based Functional Types: Characterising Functional Diversity to Enhance the Representation of Ecological Behaviour in Land Surface Models." New Phytologist. https://doi.org/10.1111/nph.16773.
Sherwood, S, M Webb, J Annan, K Armour, P Forster, J Hargreaves, G Hegerl, et al. 2020. "An assessment of Earth's Climate Sensitivity Using Multiple Lines of Evidence." Reviews of Geophysics. https://doi.org/10.1029/2019RG000678.
Hagos, S, C Zhang, L Leung, O Garuba, C Burleyson, and K Balaguru. 2020. "Impacts of Insolation and Soil Moisture on the Seasonality of Interactions Between the Madden‐Julian Oscillation and Maritime Continent." Journal of Geophysical Research: Atmospheres 125(13). https://doi.org/10.1029/2020jd032382.
Dong, Y, K Armour, M Zelinka, C Proistosescu, D Battisti, C Zhou, and T Andrews. 2020. "Inter-Model Spread in the Pattern Effect and its Contribution to Climate Sensitivity in CMIP5 and CMIP6 Models." Journal of Climate. https://doi.org/10.1175/JCLI-D-19-1011.1.
Risser, M, and D Turek. 2020. "Bayesian Inference for High-Dimensional Nonstationary Gaussian Processes." Journal of Statistical Computation and Simulation 1-27. https://doi.org/10.1080/00949655.2020.1792472.
Hu, A, L Van Roekel, W Weijer, O Garuba, W Cheng, and B Nadiga. 2020. "Role of AMOC in Transient Climate Response to Greenhouse Gas Forcing in Two Coupled Models." Journal of Climate 33(14): 5845-5859. https://doi.org/10.1175/jcli-d-19-1027.1.
Bonfils, C, B Santer, J Fyfe, K Marvel, T Phillips, and S Zimmerman. 2020. "Human Influence on Joint Changes in Temperature, Rainfall and Continental Aridity." Nature Climate Change. https://doi.org/10.1038/s41558-020-0821-1.
Ding, M, P Lin, H Liu, A Hu, and C Liu. 2020. "Lagrangian Eddy Kinetic Energy of Ocean Mesoscale Eddies and its Application to the Northwestern Pacific." Scientific Reports 10(1). https://doi.org/10.1038/s41598-020-69503-z.
Scott, RC, TA Myers, JR Norris, MD Zelinka, SA Klein, M Sun, and DR Doelling. 2020. "Observed Sensitivity of Low Cloud Radiative Effects to Meteorological Perturbations over the Global Oceans." Journal of Climate. https://doi.org/10.1175/JCLI-D-19-1028.1.
Liguori, G, S McGregor, J Arblaster, M Singh, and G Meehl. 2020. "A Joint Role for Forced and Internally-Driven Variability in the Decadal Modulation of Global Warming." Nature Communications 11(1). https://doi.org/10.1038/s41467-020-17683-7.
Weijer, W, A Barthel, M Veneziani, and H Steiner. 2020. "The Zapiola Anticyclone: A Lagrangian Study of its Kinematics in an Eddy-Permitting Ocean Model." Deep Sea Research Part I: Oceanographic Research Papers 103308. https://doi.org/10.1016/j.dsr.2020.103308.
Stansfield, A, K Reed, C Zarzycki, P Ullrich, and D Chavas. 2020. "Assessing Tropical Cyclones’ Contribution to Precipitation over the Eastern United States and Sensitivity to the Variable-Resolution Domain Extent." Journal of Hydrometeorology 21(7): 1425-1445. https://doi.org/10.1175/jhm-d-19-0240.1.
Yang, D, J Arblaster, G Meehl, M England, E Lim, S Bates, and N Rosenbloom. 2020. "Role of Tropical Variability in Driving Decadal Shifts in the Southern Hemisphere Summertime Eddy-Driven Jet." Journal of Climate 33(13): 5445-5463. https://doi.org/10.1175/jcli-d-19-0604.1.
Medeiros, B. 2020. "Aquaplanets as a Framework for Examination of Aerosol Effects." Journal of Advances in Modeling Earth Systems 12(7). https://doi.org/10.1029/2019ms001874.
Zhang, M, S Xie, X Liu, W Lin, K Zhang, H Ma, X Zheng, and Y Zhang. 2020. "Toward Understanding the Simulated Phase Partitioning of Arctic Single‐Layer Mixed‐Phase Clouds in E3SM." Earth and Space Science 7(7). https://doi.org/10.1029/2020ea001125.
Website
The goal of the U.S. Department of Energy's Regional & Global Model Analysis (RGMA) program area is to enhance predictive and process- and system-level understanding of the modes of variability and change within the earth system by advancing capabilities to design, evaluate, diagnose, and analyze global and regional earth system model simulations informed by observations. If you have questions, please contact RGMA Program Manager Renu Joseph.

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