| Literature DB >> 32020988 |
Ronald Gelaro1, Will McCarty1, Max J Suárez2, Ricardo Todling1, Andrea Molod1, Lawrence Takacs3, Cynthia Randles4, Anton Darmenov1, Michael G Bosilovich1, Rolf Reichle1, Krzysztof Wargan3, Lawrence Coy3, Richard Cullather5, Clara Draper2, Santha Akella3, Virginie Buchard2, Austin Conaty3, Arlindo da Silva1, Wei Gu3, Gi-Kong Kim1, Randal Koster1, Robert Lucchesi3, Dagmar Merkova3, Jon Eric Nielsen3, Gary Partyka3, Steven Pawson1, William Putman1, Michele Rienecker1, Siegfried D Schubert1, Meta Sienkiewicz3, Bin Zhao6.
Abstract
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) is the latest atmospheric reanalysis of the modern satellite era produced by NASA's Global Modeling and Assimilation Office (GMAO). MERRA-2 assimilates observation types not available to its predecessor, MERRA, and includes updates to the Goddard Earth Observing System (GEOS) model and analysis scheme so as to provide a viable ongoing climate analysis beyond MERRA's terminus. While addressing known limitations of MERRA, MERRA-2 is also intended to be a development milestone for a future integrated Earth system analysis (IESA) currently under development at GMAO. This paper provides an overview of the MERRA-2 system and various performance metrics. Among the advances in MERRA-2 relevant to IESA are the assimilation of aerosol observations, several improvements to the representation of the stratosphere including ozone, and improved representations of cryospheric processes. Other improvements in the quality of MERRA-2 compared with MERRA include the reduction of some spurious trends and jumps related to changes in the observing system, and reduced biases and imbalances in aspects of the water cycle. Remaining deficiencies are also identified. Production of MERRA-2 began in June 2014 in four processing streams, and converged to a single near-real time stream in mid 2015. MERRA-2 products are accessible online through the NASA Goddard Earth Sciences Data Information Services Center (GES DISC).Entities:
Year: 2017 PMID: 32020988 PMCID: PMC6999672 DOI: 10.1175/JCLI-D-16-0758.1
Source DB: PubMed Journal: J Clim ISSN: 0894-8755 Impact factor: 5.148