Publication Acknowledgments
NASA Modeling, Analysis, and Prediction Program
The following publications made use of funding, computing resources or other support from the NASA Modeling, Analysis, and Prediction Program (MAP).
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2019
Silber, I., J. Verlinde, S.-H. Wang, D.H. Bromwick, Cloud influence on ERA5 and AMPS surface downwelling longwave radiation biases in West Antarctica. J. Climate, 32, no. 22, 7935-7949, doi:10.1175/JCLI-D-19-0149.1.
, M. Cadeddu, E.W. Eloranta, and C.J. Flynn, 2019:Sillmann, J., C.W. Stjern, G. Myhre, B.H. Samset, Ø. Hodnebrog, T. Andrews, O. Boucher, Extreme wet and dry conditions affected differently by greenhouse gases and aerosols. NPJ Clim. Atmos. Sci., 2, no. 1, 24, doi:10.1038/s41612-019-0079-3.
, P. Forster, M.R. Kasoar, V.V. Kharin, A. Kirkevåg, J.-F. Lamarque, D.J.L. Olivié, T.B. Richardson, D. Shindell, T. Takemura, A. Voulgarakis, and F.W. Zwiers, 2019:Snyder, A., K.V. Calvin, A crop yield change emulator for use in GCAM and similar models: Persephone v1.0. Geosci. Model Dev., 12, 1319-1350, doi:10.5194/gmd-12-1319-2019.
, and , 2019:Steiger, N.J., J.E. Smerdon, Oceanic and radiative forcing of medieval megadroughts in the American Southwest. Sci. Adv., 5, no. 7, eaax0087, doi:10.1126/sciadv.aax0087.
, R. Seager, A.P. Williams, and E.R. Cook, 2019:Susskind, J., Recent global warming as confirmed by AIRS. Environ. Res. Lett., 14, no. 4, 044030, doi:10.1088/1748-9326/aafd4e.
, J.N. Lee, and L. Iredell, 2019:Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO2: Simulations using an explicitly competitive, game-theoretic vegetation demographic model. Biogeosciences, 16, 4577-4599, doi:10.5194/bg-16-4577-2019.
, R. Dybzinski, C.E. Farrior, and S.W. Pacala, 2019:Yang, H., D.W. Waugh, Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell. Atmos. Chem. Phys., 19, 5511-5528, doi:10.5194/acp-19-5511-2019.
, G. Zeng, O. Morgenstern, D.E. Kinnison, J.-F. Lamarque, S. Tilmes, D.A. Plummer, P. Jöckel, S.E. Strahan, K.A. Stone, and R. Schofield, 2019:Zhou, S., A.P. Williams, A.M. Berg, Land-atmosphere feedbacks exacerbate concurrent soil drought and atmospheric aridity. Proc. Natl. Acad. Sci., 116, no. 38, 18848-18853, doi:10.1073/pnas.1904955116.
, Y. Zhang, S. Hagemann, R. Lorenz, S.I. Seneviratne, and P. Gentine, 2019:2018
Ault, T.R., S. St. George, J.E. Smerdon, S. Coats, J.S. Mankin, C.M. Carrillo, A robust null hypothesis for the potential causes of megadrought in western North America. J. Climate, 31, no. 1, 3-24, doi:10.1175/JCLI-D-17-0154.1.
, and S. Stevenson, 2018:Blake, S., S.C. Lewis, Assessing the impact of large volcanic eruptions of the last millennium (850-1850 CE) on Australian rainfall regimes. Clim. Past, 14, 811-824, doi:10.5194/cp-14-811-2018.
, and , 2018:Parameterization of mixed layer and deep-ocean mesoscales including nonlinearity. J. Phys. Oceanogr., 48, no. 3, 555-572, doi:10.1175/JPO-D-16-0255.1.
, , , , and , 2018:Conley, A.J., Multi-model surface temperature responses to removal of U.S. sulfur dioxide emissions. J. Geophys. Res. Atmos., 123, no. 5, 2773-2796, doi:10.1002/2017JD027411.
, J.-F. Lamarque, A.M. Fiore, D. Shindell, G. Correa, , and L.W. Horowitz, 2018:Cold tropical Pacific sea surface temperatures during the late sixteenth-century North American megadrought. J. Geophys. Res. Atmos., 123, no. 20, 11207-11320, doi:10.1029/2018JD029323.
, A.P. Williams, J.E. Smerdon, J.G. Palmer, E.R. Cook, D.W. Stahle, and S. Coats, 2018:Revisiting the leading drivers of Pacific coastal drought variability in the Contiguous United States. J. Climate, 31, no. 1, 25-43, doi:10.1175/JCLI-D-17-0172.1.
, A.P. Williams, , R. Seager, J.E. Smerdon, and D. Singh, 2018:Can semi-volatile organic aerosols lead to fewer cloud particles? Atmos. Chem. Phys., 18, 14243-14251, doi:10.5194/acp-18-14243-2018.
, , and , 2018:Herrera, D.A., T.R. Ault, J.T. Fasullo, S.J. Coats, C.M. Carrillo, Exacerbation of the 2013-2016 Pan-Caribbean drought by anthropogenic warming. Geophys. Res. Lett., 45, no. 19, 10619-10626, doi:10.1029/2018GL079408.
, and A.P. Williams, 2018:Hessl, A.E., K.J. Anchukaitis, C. Jelsema, Past and future drought in Mongolia. Sci. Adv., 4, no. 3, e1701832, doi:10.1126/sciadv.1701832.
, O. Byambasuren, C. Leland, B. Nachin, N. Pederson, H. Tian, and L.A. Hayles, 2018:Heyer, J.P., M.J. Power, The impacts of recent drought and fire in lowland Bolivia on forest loss and regional smoke emissions. Biogeosciences, 15, 4317-4331, doi:10.5194/bg-15-4317-2018.
, and M.J.E. van Marle, 2018:Kim, J., D.E. Waliser, Cloud and radiative heating profiles associated with the boreal summer intraseasonal oscillation. Clim. Dyn., 50, no. 5-6, 1485-1494, doi:10.1007/s00382-017-3700-3.
, X. Jiang, T. L'Ecuyer, and J.M. Neena, 2018:Lamer, K., (GO)2-SIM: A GCM-oriented ground-observation forward-simulator framework for an objective evaluation of cloud and precipitation phase. Geosci. Model Dev., 11, 4195-4214, doi:10.5194/gmd-11-4195-2018.
, , P. Kollias, E.E. Clothiaux, and , 2018:The "Ocean Carbon States" database: A proof-of-concept application of cluster analysis in the ocean carbon cycle. Earth Syst. Sci. Data, 10, 609-626, doi:10.5194/essd-10-609-2018.
, and , 2018:Lemordant, L., P. Gentine, A. Swann, Critical impact of vegetation physiology on the continental hydrologic cycle in response to increasing CO2. Proc. Natl. Acad. Sci., 115, no. 16, 4093-4098, doi:10.1073/pnas.1720712115.
, and J. Scheff, 2018:Model uncertainty in cloud-circulation coupling, and cloud-radiative response to increasing CO2, linked to biases in climatological circulation. J. Climate, 31, no. 24, 10013-10020, doi:10.1175/JCLI-D-17-0665.1.
, A. Voigt, , and L.M. Polvani, 2018:Liu, L., D. Shawki, A. Voulgarakis, M. Kasoar, B.H. Samset, G. Myhre, P.M. Forster, Ø. Hodnebrog, J. Sillmann, S.G. Aalbergsjø, O. Boucher, A PDRMIP multi-model study on the impacts of regional aerosol forcings on global and regional precipitation. J. Climate, 31, no. 11, 4429-4447, doi:10.1175/JCLI-D-17-0439.1.
, T. Iversen, A. Kirkevåg, J.-F. Lamarque, D. Olivié, T. Richardson, D. Shindell, and T. Takemura, 2018:Blue water tradeoffs with vegetation in a CO2-enriched climate. Geophys. Res. Lett., 45, no. 7, 3115-3125, doi:10.1002/2018GL077051.
, R. Seager, J.E. Smerdon, , A.P. Williams, and , 2018:Internal variability and disequilibrium confound estimates of climate sensitivity from observations. Geophys. Res. Lett., 45, no. 3, 1595-1601, doi:10.1002/2017GL076468.
, R. Pincus, , and , 2018:Myhre, G., R.J. Kramer, C.J. Smith, Ø. Hodnebrog, P. Forster, B. Soden, B.H. Samset, C.W. Stjern, T. Andrews, O. Boucher, Quantifying the importance of rapid adjustments for global precipitation changes. Geophys. Res. Lett., 45, no. 20, 11399-11405, doi:10.1029/2018GL079474.
, D. Fläschner, M. Kasoar, A. Kirkevåg, J.-F. Lamarque, D. Olivié, T. Richardson, D. Shindell, P. Stier, T. Takemura, A. Voulgarakis, and D. Watson-Parris, 2018:Myhre, G., B.H. Samset, Ø. Hodnebrog, T. Andrews, O. Boucher, Sensible heat has significantly affected the global hydrological cycle over the historical period. Nat. Commun., 9, no. 1, 1922, doi:10.1038/s41467-018-04307-4.
, D. Fläschner, P.M. Forster, M. Kasoar, V. Kharin, A. Kirkevåg, J.-F. Lamarque, D. Olivié, T.B. Richardson, D. Shawki, D. Shindell, K.P. Shine, C.W. Stjern, T. Takemura, and A. Voulgarakis, 2018:Richardson, T.B., P.M. Forster, T. Andrews, O. Boucher, Carbon dioxide physiological forcing dominates projected Eastern Amazonian drying. Geophys. Res. Lett., 45, no. 6, 2815-2825, doi:10.1002/2017GL076520.
, D. Fläschner, M. Kasoar, A. Kirkevåg, J.-F. Lamarque, G. Myhre, D. Olivié, B.H. Samset, D. Shawki, D. Shindell, T. Takemura, and A. Voulgarakis, 2018:Multi-century instability of the Atlantic Meridional Circulation in rapid warming simulations with GISS ModelE2. J. Geophys. Res. Atmos., 123, no. 12, 6331-6355, doi:10.1029/2017JD027149.
, , , , , , and , 2018:Biophysical and economic implications for agriculture of +1.5° and +2.0°C global warming using AgMIP Coordinated Global and Regional Assessments. Clim. Res., 76, no. 1, 17-39, doi:10.3354/cr01520.
, J. Antle, J. Elliott, C. Folberth, G. Hoogenboom, D. Mason-D'Croz, C. Müller, C.H. Porter, , R. Raymundo, R. Sands, R. Valdivia, J. White, K. Wiebe, and , 2018:Climate shifts for major agricultural seasons in +1.5 and +2.0°C worlds: HAPPI projections and AgMIP modeling scenarios. Agric. Forest Meteorol., 259, 329-344, doi:10.1016/j.agrformet.2018.05.013.
, , and , 2018:Symmetric equations on the surface of a sphere as used by Model GISS:IB. Geosci. Model Dev., 11, 4637-4656, doi:10.5194/gmd-11-4637-2018.
, , and , 2018:Samset, B.H., G. Myhre, P.M. Forster, Ø. Hodnebrog, T. Andrews, O. Boucher, Weak hydrological sensitivity to temperature change over land, independent of climate forcing. NPJ Clim. Atmos. Sci., 1, no. 1, 3, doi:10.1038/s41612-017-0005-5.
, D. Fläschner, M. Kasoar, V. Kharin, A. Kirkevåg, J.-F. Lamarque, D. Olivié, T.B. Richardson, D. Shindell, T. Takemura, and A. Voulgarakis, 2018:Samset, B., M. Sand, C.J. Smith, Climate impacts from a removal of anthropogenic aerosol emissions. Geophys. Res. Lett., 45, no. 2, 1020-1029, doi:10.1002/2017GL076079.
, P.M. Forster, J.S. Fuglestvedt, S. Osprey, and C.-F. Schleussner, 2018:Shindell, D., Quantified, localized health benefits of accelerated carbon dioxide emissions reductions. Nat. Clim. Change, 8, 291-295, doi:10.1038/s41558-018-0108-y.
, K. Seltzer, and C. Shindell, 2018:Singh, D., Distinct influences of land-cover and land-management on seasonal climate. J. Geophys. Res. Atmos., 123, no. 21, 12017-12039, doi:10.1029/2018JD028874.
, , , , and , 2018:Singh, D., R. Seager, Climate and the global famine of 1876-78. J. Climate, 31, no. 23, 945-9467, doi:10.1175/JCLI-D-18-0159.1.
, M. Cane, M. Ting, E. Cook, and M. Davis, 2018:Smith, C.J., R.J. Kramer, G. Myhre, P.M. Forster, B. Soden, T. Andrews, O. Boucher, Understanding rapid adjustments to diverse forcing agents. Geophys. Res. Lett., 45, no. 21, 12023-12031, doi:10.1029/2018GL079826.
, D. Fläschner, Ø. Hodnebrog, M. Kasoar, V. Kharin, A. Kirkevåg, J.-F. Lamarque, J. Mülmenstädt, D. Olivié, T. Richardson, B.H. Samset, D. Shindell, P. Stier, T. Takemura, A. Voulgarakis, and D. Watson-Parris, 2018:Stevenson, S., B.S. Powell, K.M. Cobb, 20th Century seawater δ18O dynamics and implications for coral-based climate reconstruction. Paleoceanogr. Paleoclimatol., 33, no. 6, 606-625, doi:10.1029/2017PA003304.
, M.A. Merrifield, and D. Noone, 2018:Tang, T., D.T. Shindell, B.H. Samset, O. Boucher, P.M. Forster, Ø. Hodnebrog, G. Myhre, J. Sillmann, A. Voulgarakis, T. Andrews, and Dynamical response of Mediterranean precipitation to greenhouse gases and aerosols. Atmos. Chem. Phys., 18, 8439-8452, doi:10.5194/acp-18-8439-2018.
, 2018:Wang, S., Mapping ice algal blooms in southwest Greenland from space. Geophys. Res. Lett., 45, no. 21, 11779-11788, doi:10.1029/2018GL080455.
, M. Xu, and , 2018:Wargan, K., Recent decline in lower stratospheric ozone attributed to circulation changes. Geophys. Res. Lett., 45, no. 10, 5166-5176, doi:10.1029/2018GL077406.
, S. Pawson, J.R. Ziemke, L.D. Oman, M. Olsen, L. Coy, and K.E. Knowland, 2018:The dependence of energy dissipation on spatial resolution in a viscous-plastic sea-ice model. Ocean Model., 150, 40-47, doi:10.1016/j.ocemod.2018.08.001.
, and L.B. Tremblay, 2018:2017
Adames, Á.F., D. Kim, A.H. Sobel, Characterization of moist processes associated with changes in the propagation of the MJO with increasing CO2. J. Adv. Model. Earth Syst., 9, no. 8, 2946-2967, doi:10.1002/2017MS001040.
, and , 2017:Adames, A.F., D. Kim, A.H. Sobel, Changes in the structure and propagation of the MJO with increasing CO2. J. Adv. Model. Earth Syst., 9, no. 2, 1251-1268, doi:10.1002/2017MS000913.
, and , 2017:Baek, S.H., J.E. Smerdon, S. Coats, A.P. Williams, Precipitation, temperature, and teleconnection signals across the combined North American, Monsoon Asia, and Old World Drought Atlases. J. Climate, 30, no. 18, 7141-7155, doi:10.1175/JCLI-D-16-0766.1.
, E.R. Cook, and R. Seager, 2017:Bailey, A., P.N. Blossey, D. Noone, Detecting shifts in tropical moisture imbalances with satellite-derived isotope ratios in water vapor. J. Geophys. Res. Atmos., 122, no. 11, 5763-5779, doi:10.1002/2016JD026222.
, and R. Wood, 2017:Bian, H., M. Chin, D.A. Hauglustaine, M. Schulz, G. Myhre, Investigation of global nitrate from the AeroCom Phase III experiment. Atmos. Chem. Phys., 17, 12911-12940, doi:10.5194/acp-17-12911-2017.
, M.T. Lund, V.A. Karydis, T.L. Kucsera, X. Pan, A. Pozzer, R.B. Skeie, S.D. Steenrod, K. Sudo, , A.P. Tsimpidi, and S.G. Tsyro, 2017:Bonfils, C., G. Anderson, B.D. Santer, T.J. Phillips, K.E. Taylor, M. Cuntz, M.D. Zelinka, Competing influences of anthropogenic warming, ENSO, and plant physiology on future terrestrial aridity. J. Climate, 30, no. 17, 6883-6904, doi:10.1175/JCLI-D-17-0005.1.
, , I. Cvijanovic, and P.J. Durack, 2017:An improved convective ice parameterization for the NASA GISS Global Climate Model and impacts on cloud ice simulation. J. Climate, 30, no. 1, 317-336, doi:10.1175/JCLI-D-16-0346.1.
, , J. Jiang, and , 2017:JIGSAW-GEO (1.0): Locally orthogonal staggered unstructured grid generation for general circulation modelling on the sphere. Geosci. Model Dev., 10, 2117-2140, doi:10.5194/gmd-10-2117-2017.
, 2017:Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case. Atmos. Chem. Phys., 17, 5947-5972, doi:10.5194/acp-17-5947-2017.
, X. Li, D. Wu, , , W.-K. Tao, G.M. McFarquhar, W. Wu, X. Dong, J. Wang, A. Ryzhkov, P. Zhang, M.R. Poellot, A. Neumann, and J.M. Tomlinson, 2017:MATRIX-VBS (v1.0): Implementing an evolving organic aerosol volatility in an aerosol microphysics model. Geosci. Model Dev., 10, 751-764, doi:10.5194/gmd-10-751-2017.
, , and , 2017:Kok, J.F., D.A. Ridley, Q. Zhou, Smaller desert dust cooling effect estimated from analysis of dust size and abundance. Nat. Geosci., 10, no. 4, 274-278, doi:10.1038/ngeo2912.
, C. Zhao, C.L. Heald, D.S. Ward, S. Albani, and K. Haustein, 2017:Ladino, L.A., A. Korolev, I. Heckman, M. Wolde, On the role of ice-nucleating aerosol in the formation of ice particles in tropical mesoscale convective systems. Geophys. Res. Lett., 44, no. 3, 1574-1582, doi:10.1002/2016GL072455.
, and , 2017:Lipat, B.R., CMIP5 models' shortwave cloud radiative response and climate sensitivity linked to the climatological Hadley cell extent. Geophys. Res. Lett., 44, no. 11, 5739-5748, doi:10.1002/2017GL073151.
, K.M. Grise, and L.M. Polvani, 2017:The curious case of projected 21st-century drying but greening in the American West. J. Climate, 30, no. 21, 8689-8710, doi:10.1175/JCLI-D-17-0213.1.
, J.E. Smerdon, , A.P. Williams, and R. Seager, 2017:Marshall, J., J.R. Scott, The dependence of the ocean's MOC on mesoscale eddy diffusivities: A model study. Ocean Model., 111, 1-8, doi:10.1016/j.ocemod.2017.01.001.
, , and , 2017:Observed and projected changes to the precipitation annual cycle. J. Climate, 30, 4983-4995, doi:10.1175/JCLI-D-16-0572.1.
, M. Biasutti, C. Bonfils, K.E. Taylor, Y. Kushnir, and , 2017:Representing agriculture in Earth System Models: Approaches and priorities for development. J. Adv. Model. Earth Syst., 9, no. 5, 2230-2265, doi:10.1002/2016MS000749.
, L.O. Mearns, and , 2017:Myhre, G., W. Aas, R. Cherian, W. Collins, Multi-model simulations of aerosol and ozone radiative forcing for the period 1990-2015. Atmos. Chem. Phys., 17, 2709-2720, doi:10.5194/acp-17-2709-2017.
, M. Flanner, P. Forster, Ø. Hodnebrog, Z. Klimont, J. Mülmenstädt, C.L. Myhre, D. Olivié, M. Prather, J. Quaas, B.H. Samset, J.L. Schnell, M. Schulz, D. Shindell, R.B. Skeie, T. Takemura, and S. Tsyro, 2017:Myhre, G., P.M. Forster, B.H. Samset, Ø. Hodnebrog, J. Sillmann, S.G. Aalbergsjø, T. Andrews, O. Boucher, PDRMIP: A Precipitation Driver and Response Model Intercomparison Project, Protocol and preliminary results. Bull. Amer. Meteorol. Soc., 98, no. 6, 1185-1198, doi:10.1175/BAMS-D-16-0019.1.
, D. Fläschner, M. Kasoar, V. Kharin, A. Kirkevåg, J.-F. Lamarque, D. Olivié, T. Richardson, D. Shindell, K.P. Shine, C.W. Stjern, T. Takemura, A. Voulgarakis, and F. Zwiers, 2017:Interactive nature of climate change and aerosol forcing. J. Geophys. Res. Atmos., 122, no. 6, 3457-3480, doi:10.1002/2016JD025809.
, , , , , and , 2017:Rao, M.P., European and Mediterranean hydroclimate responses to tropical volcanic forcing over the last millennium. Geophys. Res. Lett., 44, no. 10, 5104-5112, doi:10.1002/2017GL073057.
, E.R. Cook, R.D. D'Arrigo, P.J. Krusic, K.J. Anchukaitis, , B.M. Buckley, N.K. Davi, C. Leland, and K.L. Griffin, 2017:Role of the ocean's AMOC in setting the uptake efficiency of transient tracers. Geophys. Res. Lett., 44, no. 11, 5590-5598, doi:10.1002/2017gl072972.
, J. Marshall, , and J. Scott, 2017:Selection of a representative subset of global climate models that captures the profile of regional changes for integrated climate impacts assessment. Earth Perspect., 4, 1, doi:10.1186/s40322-017-0036-4.
, and , 2017:Aerosols at the Poles: An AeroCom Phase II multi-model evaluation. Atmos. Chem. Phys., 17, 12197-12218, doi:10.5194/acp-17-12197-2017.
, B.H. Samset, Y. Balkanski, , N. Bellouin, T.K. Berntsen, H. Bian, M. Chin, T. Diehl, R. Easter, S.J. Ghan, T. Iversen, A. Kirkevåg, J.-F. Lamarque, G. Lin, X. Liu, G. Luo, G. Myhre, T. van Noije, J.E. Penner, M. Schulz, Ø. Seland, R.B. Skeie, P. Stier, T. Takemura, , F. Yu, K. Zhang, and H. Zhang, 2017:Practice and philosophy of climate model tuning across six U.S. modeling centers. Geosci. Model Dev., 10, 3207-3223, doi:10.5194/gmd-10-3207-2017.
, D. Bader, L.J. Donner, , J.-C. Golaz, C. Hannay, A. Molod, R. Neale, and S. Saha, 2017:Seltzer, K.M., D.T. Shindell, Evaluating modeled impact metrics for human health, agriculture growth, and near-term climate. J. Geophys. Res. Atmos., 122, no. 24, 13506-13524, doi:10.1002/2017JD026780.
, and L.T. Murray, 2017:Sharma, D., and Revisiting the observed correlation between weekly averaged Indian monsoon precipitation and Arabian sea aerosol optical depth. Geophys. Res. Lett., 44, no. 19, 10006-10016, doi:10.1002/2017GL074373.
, 2017:Silva, R.A., J.J. West, J.-F. Lamarque, D.T. Shindell, W.J. Collins, Future global mortality from changes in air pollution attributable to climate change. Nat. Clim. Change, 7, no. 9, 647-651, doi:10.1038/nclimate3354.
, G.A. Folberth, L.W. Horowitz, T. Nagashima, V. Naik, S.T. Rumbold, K. Sudo, T. Takemura, D. Bergmann, P. Cameron-Smith, R.M. Doherty, B. Josse, I.A. MacKenzie, D.S. Stevenson, and G. Zeng, 2017:Stjern, C.W., B.H. Samset, G. Myhre, P.M. Forster, Ø. Hodnebrog, T. Andrews, O. Boucher, Rapid adjustments cause weak surface temperature response to increased black carbon concentrations. J. Geophys. Res. Atmos., 122, no. 21, 11462-11481, doi:10.1002/2017JD027326.
, T. Iversen, M. Kasoar, V. Kharin, A. Kirkevåg, J.-F. Lamarque, D. Olivié, T. Richardson, D. Shawki, D. Shindell, C.J. Smith, T. Takemura, and A. Voulgarakis, 2017:Multimodel precipitation responses to removal of U.S. sulfur dioxide emissions. J. Geophys. Res. Atmos., 122, no. 9, 5024-5038, doi:10.1002/2017JD026756.
, A.J. Conley, A.M. Fiore, J.-F. Lamarque, D. Shindell, M. Previdi, , G. Correa, and L.W. Horowitz, 2017:Williams, A.P., The 2016 southeastern U.S. drought: An extreme departure from centennial wetting and cooling. J. Geophys. Res. Atmos., 122, no. 20, 10888-10905, doi:10.1002/2017JD027523.
, J.E. Smerdon, D.A. Bishop, R. Seager, and , 2017:2016
Camargo, S.J., A.H. Sobel, Tropical cyclones in the GISS ModelE2. Tellus A, 68, 31494, doi:10.3402/tellusa.v68.31494.
, , , Y. Lu, D.A. Shaevitz, and N. Henderson, 2016:North American megadroughts in the Common Era: Reconstructions and simulations. WIREs Clim. Change, 7, no. 3, 411-432, doi:10.1002/wcc.394.
, E.R. Cook, J.E. Smerdon, R. Seager, A.P. Williams, S. Coats, D.W. Stahle, and J. Villanueva Díaz, 2016:Glotter, M.J., Evaluating the reliability of reanalysis as a substitute for observational data in large-scale agricultural assessments. J. Appl. Meteorol. Climatol., 55, no. 3, 579-594, doi:10.1175/JAMC-D-15-0120.1.
, E.J. Moyer, and , 2016:Haywood, A.M., H.J. Dowsett, A.M. Dolan, D. Rowley, A. Abe-Ouchi, B. Otto-Bliesner, The Pliocene Model Intercomparison Project (PlioMIP) Phase 2: Scientific objectives and experimental design. Clim. Past, 12, 663-675, doi:10.5194/cp-12-663-2016.
, S.J. Hunter, D.J. Lunt, M. Pound, and U. Salzmann, 2016:Huneeus, N., S. Basart, S. Fiedler, J.-J. Morcrette, A. Benedetti, J. Mulcahy, E. Terradellas, Forecasting the North African dust outbreak towards Europe in April 2011: A model intercomparison. Atmos. Chem. Phys., 16, 4967-4986, doi:10.5194/acp-16-4967-2016.
, G. Pejanovic, S. Nickovic, P. Arsenovic, M. Schulz, E. Cuevas, J.M. Baldasano, J. Pey, S. Remy, and B. Cvetkovic, 2016:Krakauer, N.Y., Ocean-atmosphere interactions modulate irrigation's climate impacts. Earth Syst. Dyn., 7, 863-876, doi:10.5194/esd-7-863-2016.
, , P. Gentine, and , 2016:Role of atmospheric chemistry in the climate impacts of stratospheric volcanic injections. Nat. Geosci., 9, no. 9, 652-655, doi:10.1038/ngeo2771.
, , and , 2016:Evaluating secondary inorganic aerosols in three dimensions. Atmos. Chem. Phys., 16, 10651-10669, doi:10.5194/acp-16-10651-2016.
, , and , 2016:Predicting the mineral composition of dust aerosols: Insights from elemental composition measured at the Izaña Observatory. Geophys. Res. Lett., 43, no. 19, 10520-10529, doi:10.1002/2016GL069873.
, , , S. Rodríguez, and J.M. Prospero, 2016:Pithan, F., Select strengths and biases of models in representing the Arctic winter boundary layer: The Larcform 1 single column model intercomparison. J. Adv. Model. Earth Syst., 8, no. 3, 1345-1357, doi:10.1002/2016MS000630.
, W.M. Angevine, K. Hartung, L. Ickes, , B. Medeiros, I. Sandu, G.-J. Steeneveld, H. Sterk, G. Svensson, P.A. Vaillancourt, and A. Zadra, 2016:Atmospheric diabatic heating in different weather states and the general circulation. J. Climate, 29, no. 3, 1059-1065, doi:10.1175/JCLI-D-15-0760.1.
, , and , 2016:Multi-wheat model ensemble responses to interannual climate variability. Environ. Model. Softw., 81, 86-101, doi:10.1016/j.envsoft.2016.03.008.
, , S. Asseng, D. Camarrano, F. Ewert, P. Martre, K.J. Boote, P.J. Thorburn, P.K. Aggarwal, C. Angulo, D. Basso, P. Bertuzzi, C. Biernath, N. Brisson, A.J. Challinor, J. Doltra, S. Gayler, R. Goldberg, R.F. Grant, L. Heng, J. Hooker, L.A. Hunt, J. Ingwersen, R.C. Izaurralde, K.C. Kersebaum, S.N. Kumar, C. Nendel, G. O'Leary, J.E. Olesen, T.M. Osborne, T. Palosuo, E. Priesack, D. Ripoche, R.P. Rötter, M.A. Semenov, I. Shcherbak, P. Steduto, C.O. Stöckle, P. Stratonovitch, T. Streck, I. Supit, M. Travasso, K. Waha, D. Wallach, J.W. White, and J. Wolf, 2016:The Vulnerability, Impacts, Adaptation and Climate Services Advisory Board (VIACS AB v1.0) contribution to CMIP6. Geosci. Model Dev., 9, 3493-3515, doi:10.5194/gmd-9-3493-2016.
, C. Teichmann, N. Arnell, T.R. Carter, K.L. Ebi, K. Frieler, C.M. Goodess, B. Hewitson, , R.S. Kovats, H.K. Lotze, L.O. Mearns, A. Navarra, D.S. Ojima, K. Riahi, , M. Themessl, and K. Vincent, 2016:Tao, W.-K., D. Wu, S.K. Lang, J.-D. Chern, C. Peters-Lidard, High-resolution NU-WRF simulations of a deep convective-precipitation system during MC3E: Part I: Comparisons between Goddard microphysics schemes and observations. J. Geophys. Res. Atmos., 121, no. 3, 1278-1305, doi:10.1002/2015JD023986.
, and T. Matsui, 2016:Midlatitude cloud shifts, their primary link to the Hadley cell, and their diverse radiative effects. Geophys. Res. Lett., 43, no. 9, 4594-4601, doi:10.1002/2016GL068242.
, , D. Konsta, K. Grise, and L. Polvani, 2016:2015
Climate forcing datasets for agricultural modeling: Merged products for gap-filling and historical climate series estimation. Agric. Forest Meteorol., 200, 233-248, doi:10.1016/j.agrformet.2014.09.016.
, , and , 2015:AgMIP climate datasets and scenarios for integrated assessment. In Handbook of Climate Change and Agroecosystems: The Agricultural Model Intercomparison and Improvement Project (AgMIP) Integrated Crop and Economic Assessments, Part 1. C. Rosenzweig and D. Hillel, Eds., ICP Series on Climate Change Impacts, Adaptation, and Mitigation, vol. 3, Imperial College Press, pp. 45-78, doi:10.1142/9781783265640_0003.
, , , and , 2015:This is page 3 of 3. Go to page 1, 2, 3.