The modern-era retrospective analysis for research and applications, version 2 (MERRA-2)

Journal of Climate

Volumn 30, Issue 14, 2017, Pages 5419-5454

  Gelaro, Ronald ^a   McCarty, Will ^a   Suárez, Max J ^a,b   Todling, Ricardo ^a   Molod, Andrea ^a   Takacs, Lawrence ^a,c   Randles, Cynthia A ^a,d,g   Darmenov, Anton ^a   Bosilovich, Michael G ^a   Reichle, Rolf ^a   Wargan, Krzysztof ^a,c   Coy, Lawrence ^a,c   Cullather, Richard ^a,e   Draper, Clara ^a,b   Akella, Santha ^a,c   Buchard, Virginie ^a,b   Conaty, Austin ^a,c   da Silva, Arlindo M ^a   Gu, Wei ^a,c   Kim, Gi Kong ^a   Koster, Randal ^a   Lucchesi, Robert ^a,c   Merkova, Dagmar ^a,c,h   Nielsen, Jon Eric ^a,c   Partyka, Gary ^a,c   Pawson, Steven ^a   Putman, William ^a   Rienecker, Michele ^a   Schubert, Siegfried D ^a,c   Sienkiewicz, Meta ^a,c   Zhao, Bin ^a,f   more..

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

^b UNIVERSITIES SPACE RESEARCH ASSOCIATION   (United States)

^c SCIENCE SYSTEMS AND APPLICATIONS INC   (United States)

^d MORGAN STATE UNIVERSITY   (United States)

^e UNIVERSITY OF MARYLAND   (United States)

^f SAIC FREDERICK INC   (United States)

^g EXXONMOBIL UPSTREAM RESEARCH COMPANY   (United States)

^h IM Systems Group Inc   (United States)

Author keywords

Aerosols; Data assimilation; Numerical analysis modeling; Reanalysis data; Satellite observations

Indexed keywords

AEROSOLS; CLIMATE MODELS; INFORMATION SERVICES; NASA;

ATMOSPHERIC REANALYSIS; DATA ASSIMILATION; GODDARD EARTH OBSERVING SYSTEMS; NUMERICAL ANALYSIS/MODELING; REANALYSIS; RESEARCH AND APPLICATION; RETROSPECTIVE ANALYSIS; SATELLITE OBSERVATIONS;

EARTH (PLANET);

AEROSOL; CRYOSPHERE; DATA ASSIMILATION; EOS; NUMERICAL MODEL; OBSERVATIONAL METHOD; SATELLITE DATA; STRATOSPHERE;

EID: 85020084015     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-16-0758.1     Document Type: Article

References (126)

1. Adler, R. F., and Coauthors, 2003: The Version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present). J. Hydrometeor., 4, 1147-1167, doi:10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2
2. Akella, S., R. Todling, and M. Suárez, 2016: Assimilation for skin SST in the NASA GEOS atmospheric data assimilation system. Quart. J. Roy. Meteor. Soc., 143, 1032-1046, doi:10.1002/qj.2988
3. Andrews, D. G., J. R. Holton, and C. B. Leovy, 1987: Middle Atmosphere Dynamics. Academic Press, 489 pages
4. Bacmeister, J. T., and G. Stephens, 2011: Spatial statistics of likely convective clouds in CloudSat data. J. Geophys. Res., 116, D04104, doi:10.1029/2010JD014444
5. Ballish, B. A., and V. K. Kumar, 2008: Systematic differences in aircraft and radiosonde temperatures. Bull. Amer. Meteor. Soc., 89, 1689-1707, doi:10.1175/2008BAMS2332.1
6. Bauer, P., A. J. Geer, P. Lopez, and D. Salmond, 2010: Direct 4D-Var assimilation of all-sky radiances. Part I: Implementation. Quart. J. Roy. Meteor. Soc., 136, 1868-1885, doi:10.1002/qj.659
7. Bellouin, N., J. Quaas, J.-J. Morcrette, and O. Boucher, 2013: Estimates of aerosol radiative forcing from the MACC re-analysis. Atmos. Chem. Phys., 13, 2045-2062, doi:10.5194/acp-13-2045-2013
8. Berrisford, P., P. Kallberg, S. Kobayashi, D. Dee, S. Uppala, A. J. Simmons, P. Poli, and H. Sato, 2011: Atmospheric conservation properties in ERA-Interim. Quart. J. Roy. Meteor. Soc., 137, 1381-1399, doi:10.1002/qj.864
9. Bloom, S., L. Takacs, A. DaSilva, and D. Ledvina, 1996: Data assimilation using incremental analysis updates. Mon. Wea. Rev., 124, 1256-1271, doi:10.1175/1520-0493(1996)124<1256:DAUIAU>2.0.CO;2
10. Bocquet, M., and Coauthors, 2015: Data assimilation in atmospheric chemistry models: Current and future prospects for coupled chemistry meteorology models. Atmos. Chem. Phys., 15, 5325-5358, doi:10.5194/acp-15-5325-2015
11. Bosilovich, M. G., 2013: Regional climate and variability in NASA MERRA and recent reanalyses: U.S. summertime precipitation and temperature. J. Appl. Meteor. Climatol., 52, 1939-1951, doi:10.1175/JAMC-D-12-0291.1
12. Bosilovich, M. G., F. R. Robertson, and J. Chen, 2011: Global energy and water budgets in MERRA. J. Climate, 24, 5721-5739, doi:10.1175/2011JCLI4175.1
13. Bosilovich, M. G., and Coauthors, 2015: MERRA-2: Initial evaluation of the climate. Technical Report Series on Global Modeling and Data Assimilation, Vol. 43, NASA Tech. Rep. NASA/TM-2015-104606, 139 pp. [Available online at https://gmao.gsfc.nasa.gov/pubs/docs/Bosilovich803.pdf.]
14. Bosilovich, M. G., R. Lucchesi, and M. Suarez, 2016: MERRA-2: File specification. GMAO Office Note 9, 73 pp. [Available online at https://gmao.gsfc.nasa.gov/pubs/docs/Bosilovich785.pdf.]
15. Bosilovich, M. G., F. Robertson, L. Takacs, A. Molod, and D. Mocko, 2017: Atmospheric water balance and variability in the MERRA-2 reanalysis. J. Climate, 30, 1177-1196, doi:10.1175/JCLI-D-16-0338.1
16. Box, J. E., and A. Rinke, 2003: Evaluation of Greenland Ice Sheet surface climate in the HIRHAM regional climate model using automatic weather station data. J. Climate, 16, 1302-1319, doi:10.1175/1520-0442-16.9.1302
17. Brassington, G. B., and Coauthors, 2015: Progress and challenges in short-to medium-range coupled prediction. J. Oper. Oceanogr., 8, 239-258, doi:10.1080/1755876X.2015.1049875
18. Buchard, V., and Coauthors, 2015: Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis. Atmos. Chem. Phys., 15, 5743-5760, doi:10.5194/acp-15-5743-2015
19. Cardinali, C., L. Isaksen, and E. Anderson, 2003: Use and impact of automated aircraft data in a global 4DVAR data assimilation system. Mon. Wea. Rev., 131, 1865-1877, doi:10.1175//2569.1
20. Chen, Y., F. Weng, Y. Han, and Q. Liu, 2008: Validation of the Community Radiative Transfer Model (CRTM) by using CloudSat data. J. Geophys. Res., 113, 2156-2202, doi:10.1029/2007JD009561
21. Chin, M., and Coauthors, 2002: Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and sun photometer measurements. J. Atmos. Sci., 59, 461-483, doi:10.1175/1520-0469(2002)059<0461:TAOTFT>2.0.CO;2
22. Chýlek, P., and J. A. Coakley, 1974: Aerosol and climate. Science, 183, 75-77, doi:10.1126/science.183.4120.75
23. Colarco, P., A. da Silva, M. Chin, and T. Diehl, 2010: Online simulations of global aerosol distributions in the NASA GEOS-4 model and comparisons to satellite and ground-based aerosol optical depth. J. Geophys. Res., 115, D14207, doi:10.1029/2009JD012820
24. Collow, A. B. M., and M. A. Miller, 2016: The seasonal cycle of the radiation budget and cloud radiative effect in the Amazon rain forest of Brazil. J. Climate, 29, 7703-7722, doi:10.1175/JCLI-D-16-0089.1
25. Collow, A. B. M., M. G. Bosilovich, and R. D. Koster, 2016: Large-scale influences on summertime extreme precipitation in the northeastern United States. J. Hydrometeor., 17, 3045-3061, doi:10.1175/JHM-D-16-0091.1
26. Colony, R., I. Appel, and I. Rigor, 1992: Surface air temperature observations in the Arctic Basin. Applied Physics Laboratory, University of Washington Tech. Memo. TM 1-92, 120 pp
27. Compo, G. P., and Coauthors, 2011: The Twentieth Century Reanalysis Project. Quart. J. Roy. Meteor. Soc., 137, 1-28, doi:10.1002/qj.776
28. Coy, L., K. Wargan, A. M. Molod, W. R. McCarty, and S. Pawson, 2016: Structure and dynamics of the quasi-biennial oscillation in MERRA-2. J. Climate, 29, 5339-5354, doi:10.1175/JCLI-D-15-0809.1
29. Cullather, R. I., and M. G. Bosilovich, 2012: The energy budget of the polar atmosphere in MERRA. J. Climate, 25, 5-24, doi:10.1175/2011JCLI4138.1
30. Cullather, R. I., S. M. J. Nowicki, B. Zhao, and M. J. Suárez, 2014: Evaluation of the surface representation of the Greenland Ice Sheet in a general circulation model. J. Climate, 27, 4835-4856, doi:10.1175/JCLI-D-13-00635.1
31. Darmenov, A., and A. da Silva, 2015: The Quick Fire Emissions Dataset (QFED): Documentation of versions 2.1, 2.2 and 2.4. Technical Report Series on Global Modeling and Data Assimilation, Vol. 32, NASA Tech. Rep. NASA/TM-2015-104606, 201 pp. [Available online at https://gmao.gsfc.nasa.gov/pubs/docs/Darmenov796.pdf.]
32. Decker, M., M. A. Brunke, Z. Wang, K. Sakaguchi, X. Zeng, and M. G. Bosilovich, 2011: Evaluation of the reanalysis products from GSFC, NCEP, and ECMWF using flux tower observations. J. Climate, 24, 221-249, doi:10.1175/JCLI-D-11-00004.1
33. Dee, D. P., and A. M. da Silva, 2003: The choice of variable for atmospheric moisture analysis. Mon. Wea. Rev., 131, 155-171, doi:10.1175/1520-0493(2003)131<0155:TCOVFA>2.0.CO;2
34. Dee, D. P., and S. Uppala, 2009: Variational bias correction of satellite radiance data in the ERA-Interim reanalysis. Quart. J. Roy. Meteor. Soc., 135, 1830-1841, doi:10.1002/qj.493
35. Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553-597, doi:10.1002/qj.828
36. Derber, J. C., and W.-S. Wu, 1998: The use of TOVS cloud-cleared radiances in the NCEP SSI analysis system. Mon. Wea. Rev., 126, 2287-2299, doi:10.1175/1520-0493(1998)126<2287:TUOTCC>2.0.CO;2
37. Diehl, T., A. Heil, M. Chin, X. Pan, D. Streets, M. Schultz, and S. Kinne, 2012: Anthropogenic, biomass burning, and volcanic emissions of black carbon, organic carbon, and SO2 from 1980 to 2010 for hindcast model experiments. Atmos. Chem. Phys. Discuss., 12, 24 895-24 954, doi:10.5194/acpd-12-24895-2012
38. Donlon, C. J., M. Martin, J. Stark, J. Roberts-Jones, E. Fiedler, and W. Wimmer, 2012: The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system. Remote Sens. Environ., 116, 140-158, doi:10.1016/j.rse.2010.10.017
39. Duynkerke, P., and S. de Roode, 2001: Surface energy balance and turbulence characteristics observed at the SHEBA Ice Camp during FIRE III. J. Geophys. Res., 106, 15 313-15 322, doi:10.1029/2000JD900537
40. Farman, J., B. Gardiner, and J. Shanklin, 1985: Large losses of total ozone in Antarctica reveal seasonal ClOx/NOx interaction. Nature, 315, 207-210, doi:10.1038/315207a0
41. Fettweis, X., 2007: Reconstruction of the 1979-2006 Greenland ice sheet surface mass balance using the regional climate model MAR. Cryosphere, 1, 21-40, doi:10.5194/tc-1-21-2007
42. Flemming, J., and Coauthors, 2017: The CAMS interim reanalysis of carbon monoxide, ozone and aerosol for 2003-2015. Atmos. Chem. Phys., 17, 1945-1983, doi:10.5194/acp-17-1945-2017
43. Froidevaux, L., and Coauthors, 2006: Early validation analyses of atmospheric profiles from EOS MLS on the Aura satellite. IEEE Trans. Geosci. Remote Sens., 44, 1106-1121, doi:10.1109/TGRS.2006.864366
44. GMAO, 2015a: MERRA-2 inst1_2d_asm_Nx: 2d, 3-hourly, instantaneous, single-level, assimilation, single-level diagnostics V5.12.4. GES DISC, accessed June 2016, doi:10.5067/3Z173KIE2TPD
45. GMAO, 2015b: MERRA-2 inst1_2d_int_Nx: 2d, 1-hourly, instantaneous, single-level, assimilation, vertically integrated diagnostics V5.12.4. GES DISC, accessed June 2016, doi:10.5067/G0U6NGQ3BLE0
46. GMAO, 2015c: MERRA-2 inst3_3d_asm_Np: 3d, 3-hourly, instantaneous, pressure-level, assimilation, assimilated meteorological fields, V5.12.4. Goddard Space Flight Center Distributed Active Archive Center, accessed June 2016, doi:10.5067/QBZ6MG944HW0
47. GMAO, 2015d: MERRA-2 tavg1_2d_flx_Nx: 2d, 1-hourly, time-averaged, single-level, assimilation, surface flux diagnostics V5.12.4. GES DISC, accessed June 2016, doi:10.5067/7MCPBJ41Y0K6
48. GMAO, 2015e: MERRA-2 tavg1_2d_int_Nx: 2d, 1-hourly, time-averaged, single-level, assimilation, vertically integrated diagnostics V5.12.4. GES DISC, accessed June 2016, doi:10.5067/Q5GVUVUIVGO7
49. GMAO, 2015f: MERRA-2 tavg1_2d_slv_Nx: 2d, 1-hourly, time-averaged, single-level, assimilation, single-level diagnostics V5.12.4. GES DISC, accessed June 2016, doi:10.5067/VJAFPLI1CSIV
50. GMAO, 2015g: MERRA-2 tavgM_2d_aer_Nx: 2d, monthly mean, time-averaged, single-level, assimilation, aerosol diagnostics V5.12.4. Goddard Space Flight Center Distributed Active Archive Center, accessed June 2016, doi:10.5067/FH9A0MLJPC7N
51. GMAO, 2015h: MERRA-2 tavgM_2d_flx_Nx: 2d, monthly mean, time-averaged, single-level, assimilation, surface flux diagnostics V5.12.4. GES DISC, accessed June 2016, doi:10.5067/0JRLVL8YV2Y4
52. GMAO, 2015i: MERRA-2 tavgM_2d_glc_Nx: 2d, monthly mean, land ice surface diagnostics, V5.12.4. Goddard Space Flight Center Distributed Active Archive Center, accessed June 2015, doi:10.5067/5W8Q3I9WUFGX
53. GMAO, 2015j: MERRA-2 tavgM_2d_lnd_Nx: 2d, monthly mean, land surface diagnostics, V5.12.4. Goddard Space Flight Center Distributed Active Archive Center, accessed June 2015, doi:10.5067/8S35XF81C28F
54. GMAO, 2015k: MERRA-2 tavgM_2d_int_Nx: 2d, monthly mean, time-averaged, single-level, assimilation, vertically integrated diagnostics V5.12.4. GES DISC, accessed June 2015, doi:10.5067/FQPTQ4OJ22TL
55. GMAO, 2015l: MERRA-2 tavgM_3d_qdt_Np: 3d, monthly mean, time-averaged, pressure-level, assimilation, moist tendencies V5.12.4. GES DISC, accessed June 2016, doi:10.5067/2ZTU87V69ATP
56. GMAO, 2015m: MERRA-2 tavgM_2d_slv_Nx: 2d, monthly mean, single-level diagnostics, V5.12.4. Goddard Space Flight Center Distributed Active Archive Center, accessed April 2015, doi:10.5067/AP1B0BA5PD2K
57. GMAO, 2015n: MERRA-2 tavgM_3d_tdt_Np: 3d, monthly mean, time-averaged, pressure-level, assimilation, temperature tendencies V5.12.4. GES DISC, accessed June 2016, doi:10.5067/VILT59HI2MOY
58. Gong, S. L., 2003: A parameterization of sea-salt aerosol source function for sub-and super-micron particles. Global Biogeochem. Cycles, 17, 1097, doi:10.1029/2003GB002079
59. Greuell, W., and T. Konzelmann, 1994: Numerical modelling of the energy balance and englacial temperature of the Greenland Ice Sheet. Calculations for the ETH-Camp location (West Greenland, 1155 m a.s.l.). Global Planet. Change, 9, 91-114, doi:10.1016/0921-8181(94)90010-8
60. Ham, Y.-G., S. Schubert, Y. Vikhliaev, and M. J. Suárez, 2014: An assessment of the ENSO forecast skill of GEOS-5 system. Climate Dyn., 43, 2415, doi: 10.1007/s00382-014-2063-2
61. Han, Y., P. van Delst, Q. Liu, F. Weng, B. Yan, R. Treadon, and J. Derber, 2006: JCSDA Community Radiative Transfer Model (CRTM)-Version 1. NOAA Tech. Rep. 122, 33 pp. [Available online at https://docs.lib.noaa.gov/noaa_documents/NESDIS/TR_NESDIS/TR_NESDIS_122.pdf.]
62. Heidinger, A. K., C. Cao, and J. T. Sullivan, 2002: Using Moderate Resolution Imaging Spectrometer (MODIS) to calibrate Advanced Very High Resolution Radiometer reflectance channels. J. Geophys. Res., 107, 4702, doi:10.1029/2001JD002035
63. Hoch, S. W., 2005: Radiative flux divergence in the surface boundary layer. A study based on observations at Summit, Greenland. Ph. D. dissertation, Swiss Federal Institute of Technology, 164 pp
64. Holben, B., and Coauthors, 1998: AERONET-A federated instrument network and data archive for aerosol characterization. Remote Sens. Environ., 66, 1-16, doi:10.1016/S0034-4257(98)00031-5
65. Holm, E. V., 2003: Revision of the ECMWF humidity analysis: Construction of a Gaussian control variable. Proc. ECMWF/GEWEX Workshop on Humidity Analysis, Reading, United Kingdom, ECMWF/GEWEX, 6 pp. [Available online at http://www.ecmwf.int/sites/default/files/elibrary/2003/9998-revision-ecmwf-humidity-analysis-construction-gaussian-control-variable.pdf.]
66. Inness, A. F., and Coauthors, 2013: The MACC reanalysis: An 8 yr data set of atmospheric composition. Atmos. Chem. Phys., 13, 4073-4109, doi:10.5194/acp-13-4073-2013
67. Kahn, R. A., B. J. Gaitley, J. V. Martonchik, D. J. Diner, K. A. Crean, and B. Holben, 2005: Multiangle Imaging Spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations. J. Geophys. Res., 110, D10S04, doi:10.1029/2004JD004706
68. Kinne, S., and Coauthors, 2006: An AeroCom initial assessment-Optical properties in aerosol component modules of global models. Atmos. Chem. Phys., 6, 1815-1834, doi:10.5194/acp-6-1815-2006
69. Kleist, D. T., D. F. Parrish, J. C. Derber, R. Treadon, R. M. Errico, and R. Yang, 2009a: Improving incremental balance in the GSI 3DVAR analysis system. Mon. Wea. Rev., 137, 1046-1060, doi:10.1175/2008MWR2623.1
70. Kleist, D. T., D. F. Parrish, J. C. Derber, R. Treadon, W.-S. Wu, and S. Lord, 2009b: Introduction of the GSI into the NCEPs Global Data Assimilation System. Wea. Forecasting, 24, 1691-1705, doi:10.1175/2009WAF2222201.1
71. Kobayashi, S., M. Matricardi, D. Dee, and S. Uppala, 2009: Toward a consistent reanalysis of the upper stratosphere based on radiance measurements from SSU and AMSU-A. Quart. J. Roy. Meteor. Soc., 135, 2086-2099, doi:10.1002/qj.514
72. Kobayashi, S., and Coauthors, 2015: The JRA-55 reanalysis: General specifications and basic characteristics. J. Meteor. Soc. Japan, 93, 5-48, doi:10.2151/jmsj.2015-001
73. Koster, R. D., G. Walker, G. J. Collatz, and P. E. Thornton, 2014: Hydroclimatic controls on the means and variability of vegetation phenology and carbon uptake. J. Climate, 27, 5632-5652, doi:10.1175/JCLI-D-13-00477.1
74. Kunkel, K. E., and Coauthors, 2013: Monitoring and understanding trends in extreme storms: State of knowledge. Bull. Amer. Meteor. Soc., 94, 499-514, doi:10.1175/BAMS-D-11-00262.1
75. Levy, R. C., L. A. Remer, S. Mattoo, E. F. Vermote, and Y. J. Kaufman, 2007: Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance. J. Geophys. Res., 112, D13211, doi:10.1029/2006JD007811
76. Lim, Y.-K., R. Kovach, S. Pawson, and G. Vernieres, 2017: The 2015/16 El Niño event in context of the MERRA-2 reanalysis: A comparison of the tropical Pacific with 1982/83 and 1997/98. J. Climate, doi:10.1175/JCLI-D-16-0800.1, in press
77. Liu, Q., and S. Boukabara, 2014: Community Radiative Transfer Model (CRTM) applications in supporting the Suomi National Polar-Orbiting Partnership (SNPP) mission validation and verification. Remote Sens. Environ., 140, 744-754, doi:10.1016/j.rse.2013.10.011
78. Lynch, P., and Coauthors, 2016: An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences. Geosci. Model Dev., 9, 1489-1522, doi:10.5194/gmd-9-1489-2016
79. Lynch-Stieglitz, M., 1994: The development and validation of a simple snow model for the GISS GCM. J. Climate, 7, 1842-1855, doi:10.1175/1520-0442(1994)007<1842:TDAVOA>2.0.CO;2
80. Manney, G. L., and Coauthors, 2008: The evolution of the stratopause during the 2006 major warming: Satellite data and assimilated meteorological analyses. J. Geophys. Res., 113, D11115, doi:10.1029/2007JD009097
81. Marticorena, B., and G. Bergametti, 1995: Modeling the atmospheric dust cycle: 1. Design of a soil-derived dust emission scheme. J. Geophys. Res., 100, 16 415-16 430, doi:10.1029/95JD00690
82. McCarty, W., L. Coy, R. Gelaro, A. Huang, D. Merkova, E. B. Smith, M. Sienkiewicz, and K. Wargan, 2016: MERRA-2 input observations: Summary and initial assessment. Technical Report Series on Global Modeling and Data Assimilation, Vol. 46, NASA Tech. Rep. NASA/TM-2016-104606, 61 pp. [Available online at https://gmao.gsfc.nasa.gov/pubs/docs/McCarty885.pdf.]
83. McPeters, R., and Coauthors, 2008: Validation of the Aura Ozone Monitoring Instrument total column ozone product. J. Geophys. Res., 113, D15S14, doi:10.1029/2007JD008802
84. Meng, J., R. Yang, H. Wei, M. Ek, G. Gayno, P. Xie, and K. Mitchell, 2012: The Land Surface Analysis in the NCEP Climate Forecast System Reanalysis. J. Hydrometeor., 13, 1621-1630, doi:10.1175/JHM-D-11-090.1
85. Mesinger, F., and Coauthors, 2006: North American Regional Reanalysis. Bull. Amer. Meteor. Soc., 87, 343-360, doi:10.1175/BAMS-87-3-343
86. Molina, M. J., and F. S. Rowland, 1974: Stratospheric sink for chlorofluoromethanes: Chlorine atom-catalysed destruction of ozone. Nature, 249, 810-812, doi:10.1038/249810a0
87. Molod, A., L. Takacs, M. Suárez, and J. Bacmeister, 2015: Development of the GEOS-5 atmospheric general circulation model: Evolution from MERRA to MERRA2. Geosci. Model Dev., 8, 1339-1356, doi:10.5194/gmd-8-1339-2015
88. Moorthi, S., and M. J. Suárez, 1992: Relaxed Arakawa-Schubert: A parameterization of moist convection for general circulation models. Mon. Wea. Rev., 120, 978-1002, doi:10.1175/1520-0493(1992)120<0978:RASAPO>2.0.CO;2
89. Myhre, G., 2009: Consistency between satellite-derived and modeled estimates of the direct aerosol effect. Science, 325, 187-190, doi:10.1126/science.1174461
90. Newman, P. A., and E. R. Nash, 2005: The unusual Southern Hemisphere stratosphere winter of 2002. J. Atmos. Sci., 62, 614-628, doi:10.1175/JAS-3323.1
91. Parrish, D. F., and J. C. Derber, 1992: The National Meteorological Center's spectral statistical-interpolation analysis system. Mon. Wea. Rev., 120, 1747-1763, doi:10.1175/1520-0493(1992)120<1747:TNMCSS>2.0.CO;2
92. Poli, P., and Coauthors, 2013: The data assimilation system and initial performance evaluation of the ECMWF pilot reanalysis of the 20th-century assimilating surface observations only (ERA-20C). ERA Tech. Rep. 14, 59 pp. [Available online at http://www.ecmwf.int/en/elibrary/11699-data-assimilation-system-and-initial-performance-evaluation-ecmwf-pilot-reanalysis.]
93. Putman, W., and S.-J. Lin, 2007: Finite-volume transport on various cubed-sphere grids. J. Comput. Phys., 227, 55-78, doi:10.1016/j.jcp.2007.07.022
94. Randles, C. A., and Coauthors, 2016: The MERRA-2 aerosol assimilation. Technical Report Series on Global Modeling and Data Assimilation, Vol. 45, NASA Tech. Rep. NASA/TM-2016-104606, 143 pp. [Available online at https://gmao.gsfc.nasa.gov/pubs/docs/Randles887.pdf.]
95. Randles, C. A., and Coauthors, 2017: The MERRA-2 aerosol reanalysis, 1980 onward. Part I: System description and data assimilation evaluation. J. Climate, doi:10.1175/JCLI-D-16-0609.1, in press
96. Reichle, R. H., and Q. Liu, 2014: Observation-corrected precipitation estimates in GEOS-5. Technical Report Series on Global Modelling and Data Assimilation, Vol. 35, NASA Tech. Rep. NASA/TM-2014-104606, 24 pp. [Available online at https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20150000725.pdf.]
97. Reichle, R. H., R. D. Koster, G. J. M. De Lannoy, B. A. Forman, Q. Liu, S. Mahanama, and A. Toure, 2011: Assessment and enhancement of MERRA land surface hydrology estimates. J. Climate, 24, 6322-6338, doi:10.1175/JCLI-D-10-05033.1
98. Reichle, R. H., Q. Liu, R. D. Koster, C. S. Draper, S. P. P. Mahanama, and G. S. Partyka, 2017a: Land surface precipitation in MERRA-2. J. Climate, 30, 1643-1664, doi:10.1175/JCLI-D-16-0570.1
99. Reichle, R. H., C. S. Draper, Q. Liu, M. Girotto, S. P. P. Mahanama, R. D. Koster, and G. J. M. De Lannoy, 2017b: Assessment of MERRA-2 land surface hydrology estimates. J. Climate, 30, 2937-2960, doi:10.1175/JCLI-D-16-0720.1
100. Remer, L. A., and Coauthors, 2005: The MODIS aerosol algorithm, products, and validation. J. Atmos. Sci., 62, 947-973, doi:10.1175/JAS3385.1
101. Reynolds, R. W., N. A. Rayner, T. M. Smith, D. C. Stokes, and W. Wang, 2002: An improved in situ and satellite SST analysis for climate. J. Climate, 15, 1609-1625, doi:10.1175/1520-0442(2002)015<1609:AIISAS>2.0.CO;2
102. Reynolds, R. W., T. M. Smith, C. Liu, D. B. Chelton, K. S. Casey, and M. G. Schlax, 2007: Daily high-resolution-blended analyses for sea surface temperature. J. Climate, 20, 5473-5496, doi:10.1175/2007JCLI1824.1
103. Rienecker, M. M., and Coauthors, 2008: The GEOS-5 Data Assimilation System-Documentation of versions 5.0.1, 5.1.0, and 5.2.0. Technical Report Series on Global Modeling and Data Assimilation, Vol. 27, NASA Tech. Rep. NASA/TM-2008-104606, 118 pp. [Available online at https://gmao.gsfc.nasa.gov/pubs/docs/Rienecker369.pdf.]
104. Rienecker, M. M., and Coauthors, 2011: MERRA: NASA's Modern-Era Retrospective Analysis for Research and Applications. J. Climate, 24, 3624-3648, doi:10.1175/JCLI-D-11-00015.1
105. Robertson, F. R., M. G. Bosilovich, J. Chen, and T. L. Miller, 2011: The effect of satellite observing system changes on MERRA water and energy fluxes. J. Climate, 24, 5197-5217, doi:10.1175/2011JCLI4227.1
106. Saha, S., and Coauthors, 2010: The NCEP Climate Forecast System Reanalysis. Bull. Amer. Meteor. Soc., 91, 1015-1057, doi:10.1175/2010BAMS3001.1
107. Schubert, S. D., R. Rood, and J. Pfaendtner, 1993: An assimilated dataset for Earth science applications. Bull. Amer. Meteor. Soc., 74, 2331-2342, doi:10.1175/1520-0477(1993)074<2331:AADFES>2.0.CO;2
108. Schultz, M. G., and Coauthors, 2008: Global wildland fire emissions from 1960 to 2000. Global Biogeochem. Cycles, 22, GB2002, doi:10.1029/2007GB003031
109. Schwartz, M. J., and Coauthors, 2008: Validation of the Aura Microwave Limb Sounder temperature and geopotential height measurements. J. Geophys. Res., 113, D15S11, doi:10.1029/2007JD008783
110. Seidel, D. J., and Coauthors, 2016: Stratospheric temperature changes during the satellite era. J. Geophys. Res., 121, 664-681, doi:10.1002/2015JD024039
111. Simmons, A. J., P. Poli, D. P. Dee, P. Berrisford, H. Hersbach, S. Kobayashi, and C. Peubey, 2014: Estimating low-frequency variability and trends in atmospheric temperature using ERA-Interim. Quart. J. Roy. Meteor. Soc., 140, 329-353, doi:10.1002/qj.2317
112. Simmons, A. J., P. Berrisford, D. P. Dee, H. Hersbach, S. Hirahara, and J.-N. Thpaut, 2016: A reassessment of temperature variations and trends from global reanalyses and monthly surface climatological datasets. Quart. J. Roy. Meteor. Soc., 143, 101-119, doi:10.1002/qj.2949
113. Stieglitz, M., A. Ducharne, R. D. Koster, and M. J. Suárez, 2001: The impact of detailed snow physics on the simulation of snow cover and subsurface thermodynamics at continental scales. J. Hydrometeor., 2, 228-242, doi:10.1175/1525-7541(2001)002<0228:TIODSP>2.0.CO;2
114. Susskind, J., J. Rosenfield, and D. Reuter, 1983: An accurate radiative transfer model for use in the direct physical inversion of HIRS and MSU temperature sounding data. J. Geophys. Res., 88, 8550-8568, doi:10.1029/JC088iC13p08550
115. Takacs, L. L., M. J. Suárez, and R. Todling, 2016: Maintaining atmospheric mass and water balance in reanalyses. Quart. J. Roy. Meteor. Soc., 142, 1565-1573, doi:10.1002/qj.2763
116. Taylor, K. E., D. Williamson, and F. Zwiers, 2000: The sea surface temperature and sea-ice concentration boundary conditions for AMIP II simulations. PCMDI Tech. Rep. 60, 28 pp. [Available online at http://www-pcmdi.llnl.gov/publications/pdf/60.pdf.]
117. Trenberth, K. E., and L. Smith, 2005: The mass of the atmosphere: A constraint on global analysis. J. Climate, 18, 864-875, doi:10.1175/JCLI-3299.1
118. Turner, J., and Coauthors, 2004: The SCAR READER project: Toward a high-quality database of mean Antarctic meteorological observations. J. Climate, 17, 2890-2898, doi:10.1175/1520-0442(2004)017<2890:TSRPTA>2.0.CO;2
119. van der Werf, G. R., J. Y. Randerson, L. Giglio, G. J. Collatz, P. S. Kasibhatla, and A. F. Arellano Jr., 2006: Interannual variability in global biomass burning emissions from 1997 to 2004. Atmos. Chem. Phys., 6, 3423-3441, doi:10.5194/acp-6-3423-2006
120. Wargan, K., and L. Coy, 2016: Strengthening of the tropopause inversion layer during the 2009 sudden stratospheric warming: A MERRA-2 study. J. Atmos. Sci., 73, 1871-1887, doi:10.1175/JAS-D-15-0333.1
121. Wargan, K., S. Pawson, M. A. Olsen, J. C. Witte, A. R. Douglass, J. R. Ziemke, S. E. Strahan, and J. E. Nielsen, 2015: The global structure of upper troposphere-lower stratosphere ozone in GEOS-5: A multiyear assimilation of EOS Aura data. J. Geophys. Res., 120, 2013-2036, doi:10.1002/2014JD022493
122. Wargan, K., G. Labow, S. Frith, S. Pawson, and G. Partyka, 2017: Evaluation of the ozone fields in NASAs MERRA-2 reanalysis. J. Climate, 30, 2961-2988, doi:10.1175/JCLI-D-16-0699.1
123. WMO, 2014: Scientific assessment of ozone depletion: 2014. Global Ozone Research and Monitoring Project Rep. 55, 416 pp. [Available online at https://www.esrl.noaa.gov/csd/assessments/ozone/2014/chapters/2014OzoneAssessment.pdf.]
124. Wu, W.-S., R. J. Purser, and D. F. Parrish, 2002: Three-dimensional variational analysis with spatially inhomogeneous covariances. Mon. Wea. Rev., 130, 2905-2916, doi:10.1175/1520-0493(2002)130<2905:TDVAWS>2.0.CO;2
125. Xie, P., A. Yatagai, M. Chen, T. Hayasaka, Y. Fukushima, C. Liu, and S. Yang, 2007: A gauge-based analysis of daily precipitation over East Asia. J. Hydrometeor., 8, 607-626, doi:10.1175/JHM583.1
126. Yu, H., and Coauthors, 2006: A review of measurement-based assessments of the aerosol direct radiative effect and forcing. Atmos. Chem. Phys., 6, 613-666, doi:10.5194/acp-6-613-2006