PSL Publications - CY 2019

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Number of items: 133.


Abramowitz G., N. Herger, E. Gutmann, D. Hammerling, R. Knutti, M. Leduc, R. Lorenz, R. Pincus and G. A. Schmidt (February 2019): ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing. Earth Syst. Dyn., 10, 91-105. doi:10.5194/esd-10-91-2019

Acquistapace C., U. Löhnert, M. Maahn and P. Kollias (May 2019): A New Criterion to Improve Operational Drizzle Detection with Ground-Based Remote Sensing. J. Atmos. Oceanic Technol., 36, 781-801. doi:10.1175/JTECH-D-18-0158.1

Agel L., M. Barlow, F. Colby, B. Hanin, J. L. Catto, A. Hoell and J. Cohen (February 2019): Dynamical analysis of extreme precipitation in the US northeast based on large-scale meteorological patterns. Clim. Dyn., 52 (3-4), 1739-1760. doi:10.1007/s00382-018-4223-2

Akish E., L. Bianco, I. Djalalova, J. M. Wilczak, J. Olson, J. Freedman, C. Finley and J. Cline (September 2019): Measuring the impact of additional instrumentation on the skill of numerical weather prediction models at forecasting wind ramp events during the first Wind Forecast Improvement Project (WFIP). Wind Energy, 22 (9), 1165-1174. doi:10.1002/we.2347

Albers J. R. and M. Newman (November 2019): A Priori Identification of Skillful Extratropical Subseasonal Forecasts. Geophys. Res. Lett., 46 (21), 12527-12536. doi:10.1029/2019GL085270

Allis E., C. D. Hewitt, O. Ndiaye, A. M. Hama, A. M. Fischer, A. Bucher, A. Shimpo, R. S. Pulwarty, M. Mason, M. Brunet and B. Tapia (April 2019): The Future of Climate Services. WMO For the 21st Century. WMO Bulletin, 68 (1), 50-59.

Bao J.-W., S. A. Michelson and E. D. Grell (September 2019): Microphysical Process Comparison of Three Microphysics Parameterization Schemes in the WRF Model for an Idealized Squall-Line Case Study J.-W. Bao. Mon. Wea. Rev., 147, 3093-3120. doi:10.1175/MWR-D-18-0249.1

Barbieri L., S. T. Kral, S. C. Bailey, A. E. Frazier, . . . and G. deBoer (May 2019): Intercomparison of Small Unmanned Aircraft System (sUAS) Measurements for Atmospheric Science during the LAPSE-RATE Campaign. Sensors, 19 (9), p. 2179. doi:10.3390/s19092179

Barcaroli E., A. Lupidi, L. Facheris, F. Cuccoli, H. Chen and V. Chandrasekar (January 2019): A Validation Procedure for a Polarimetric Weather Radar Signal Simulator. IEEE Tras. Geosci. Remote Sens., 57 (1), 609-622. doi:10.1109/TGRS.2018.2868144

Barsugli J. J., M. P. Hoerling and B. Livneh (March 2019): Is the Recent Drought on the Colorado River the New Normal? EOS, 100, doi:10.1029/2019EO117173

Bengtsson L. (March 2019): A model framework for stochastic representation of uncertainties associated with physical processes in NOAA’s Next Generation Global Prediction System (NGGPS). Mon. Wea. Rev., 147, 893-911. doi:10.1175/MWR-D-18-0238.1

Bengtsson L., J. Dias, M. Gehne, P. Bechtold, J. S. Whitaker, J.-W. Bao, L. Magnusson, S. A. Michelson, P. Pegion, S. N. Tulich and G. N. Kiladis (November 2019): Convectively Coupled Equatorial Wave Simulations Using the ECMWF IFS and the NOAA GFS Cumulus Convection Schemes in the NOAA GFS Model. Mon. Wea. Rev., 147, 4005-4025. doi:10.1175/MWR-D-19-0195.1

Bennartz R., F. Fell, C. Pettersen, M. D. Shupe and D. Schuettemeyer (June 2019): Spatial and temporal variability of snowfall over Greenland from CloudSat observations. Atmos. Chem. Phys., 19, 8101-8121. doi:10.5194/acp-19-8101-2019

Bharti V., C. W. Fairall, B. W. Blomquist, Y. Huang, A. Protat, P. P. Sullivan, S. T. Siems and M. J. Manton (December 2019): Air‐sea heat and momentum fluxes in the Southern Ocean. J. Geophys. Res. Atmos., 124 (23), 12426-12433. doi:10.1029/2018JD029761

Bharti V., E. Schulz, C. W. Fairall, B. W. Blomquist, Y. Huang, A. Protat, S. T. Siems and M. J. Manton (September 2019): Assessing Surface Heat Flux Products with In Situ Observations over the Australian Sector of the Southern Ocean. J. Atmos. Oceanic Technol., 36, 1849-1861. doi:10.1175/JTECH-D-19-0009.1

Bianco L., I. Djalalova, J. M. Wilczak, J. B. Olson, J. S. Kenyon, A. Choukulkar, et al. (November 2019): Impact of model improvements on 80 m wind speeds during the second Wind Forecast Improvement Project (WFIP2). Geosci. Model Dev., 12, 4803-4821. doi:10.5194/gmd-12-4803-2019

Brady R. X., N. S. Lovenduski, M. A. Alexander, M. G. Jacox and N. Gruber (January 2019): On the role of climate modes in modulating the air–sea CO2 fluxes in eastern boundary upwelling systems. Biogeosci., 16, 329-349. doi:10.5194/bg-16-329-2019

Bytheway J. L., M. Hughes, K. M. Mahoney and R. Cifelli (March 2019): A multiscale evaluation of multisensor quantitative precipitation estimates in the Russian River Basin. J. Hydrometeor., 20, 447-466. doi:10.1175/JHM-D-18-0142.1

Calvet J.-C., P. de Rosnay and S. G. Penny (September 2019): Editorial for the Special Issue “Assimilation of Remote Sensing Data into Earth System Models”. Remote Sens., 11 (18), p. 2177. doi:10.3390/rs11182177

Campos R. M., J.-H. G. M. Alves, S. G. Penny and V. Krasnopolsky (December 2019): Global assessments of the NCEP Ensemble Forecast System using altimeter data. Ocean Dyn., 70, 405-419. doi:

Capotondi A., M. G. Jacox, C. Bowler, M. Kavanaugh, et al. (October 2019): Observational Needs Supporting Marine Ecosystems Modeling and Forecasting: From the Global Ocean to Regional and Coastal Systems. Front. Mar. Sci., 6, p. 623. doi:10.3389/fmars.2019.00623

Capotondi A., P. D. Sardeshmukh, E. Di Lorenzo, A. Subramanian and A. J. Miller (July 2019): Predictability of US West Coast Ocean Temperatures is not solely due to ENSO. Sci. Reports, 9, p. 10993. doi:10.1038/s41598-019-47400-4

Carréric A., B. Dewitte, W. Cai, A. Capotondi, K. Takahashi, S.-W. Yeh, G. Wang and V. Guémas (November 2019): Change in strong Eastern Pacific El Niño events dynamics in the warming climate. Clim. Dyn., 54, 901-918. doi:10.1007/s00382-019-05036-0

Chen H., V. Chandrasekar, H. Tan and R. Cifelli (September 2019): Rainfall Estimation From Ground Radar and TRMM Precipitation Radar Using Hybrid Deep Neural Networks. Geophys. Res. Lett., 46 (17-18), 10669-10678. doi:10.1029/2019GL084771

Chen H., R. Cifelli, V. Chandrasekar and Y. Ma (December 2019): A Flexible Bayesian Approach to Bias Correction of Radar-derived Precipitation Estimates over Complex Terrain: Model Design and Initial Verification. J. Hydrometeor., 20, 2367-2382. doi:10.1175/JHM-D-19-0136.1

Cheng L., M. P. Hoerling, Z. Liu and J. K. Eischeid (July 2019): Physical Understanding of Human-Induced Changes in U.S. Hot Droughts Using Equilibrium Climate Simulations. J. Climate, 32, 4431-4443. doi:10.1175/JCLI-D-18-0611.1

Cheng Y.-M., C. D. Thorncroft and G. N. Kiladis (June 2019): Two Contrasting African Easterly Wave Behaviors. J. Atmos. Sci., 76, 1753-1768. doi:10.1175/JAS-D-18-0300.1

Cordero-Quirós N., A. J. Miller, A. Subramanian, J. Y. Luo and A. Capotondi (October 2019): Composite physical–biological El Niño and La Niña conditions in the California Current System in CESM1-POP2-BEC. Ocean Model., 142, p. 101439. doi:10.1016/j.ocemod.2019.101439

Cox C. J., D. C. Noone, M. Berkelhammer, M. D. Shupe, W. D. Neff, N. B. Miller, V. P. Walden and K. Steffen (June 2019): Supercooled liquid fogs over the central Greenland Ice Sheet. Atmos. Chem. Phys., 19 (11), 7467-7485. doi:10.5194/acp-19-7467-2019

Cox C. J., R. S. Stone, D. C. Douglas, D. M. Stanitski and M. R. Gallagher (July 2019): The Aleutian Low‐Beaufort Sea Anticyclone: A Climate Index Correlated With the Timing of Springtime Melt in the Pacific Arctic Cryosphere. Geophys. Res. Lett., 46 (13), 7464-7473. doi:10.1029/2019GL083306

Cronin M. F., C. L. Gentemann, J. Edson, I. Ueki, . . ., C. W. Fairall, et al. (July 2019): Air-Sea Fluxes With a Focus on Heat and Momentum. Front. Mar. Sci., 6, p. 430. doi:10.3389/fmars.2019.00430

Cui Y. Y., A. Vijayan, M. Falk, Y. -K. Hsu, . . ., L. Bianco, et al. (July 2019): A Multiplatform Inversion Estimation of Statewide and Regional Methane Emissions in California during 2014–2016. Environ. Sci. Technol., 53 (16), 9636-9645. doi:10.1021/acs.est.9b01769

Darby L. S., A. B. White and D. J. Gottas (December 2019): An evaluation of integrated water vapor, wind, and precipitation forecasts using water vapor flux observations in the Western United States. Wea. Forecasting, 34, 1867-1888. doi:10.1175/WAF-D-18-0159.1

Derin Y., E. Anagnostou, A. Berne, M. Borga, B. Boudevillain, W. Buytaert, C.-H. Chang, H. Chen, et al. (December 2019): Evaluation of GPM-era Global Satellite Precipitation Products over Multiple Complex Terrain Regions. Remote Sens., 11 (24), p. 2936. doi:10.3390/rs11242936

Dias J. and G. N. Kiladis (April 2019): The Influence of Tropical Forecast Errors on Higher Latitude Predictions. Geophs. Res. Lett., 46 (8), 4450-4459. doi:10.1029/2019GL082812

Dilling L., M. E. Daly, D. A. Kenney, R. Klein, K. Miller, A. J. Ray, W. R. Travis and O. Wilhelmi (March 2019): Drought in urban water systems: Learning lessons for climate adaptive capacity. Clim. Risk Mgt., 23, 32-42. doi:10.1016/j.crm.2018.11.001

Ding H., M. Newman, M. A. Alexander and A. T. Wittenberg (February 2019): Diagnosing secular variations in retrospective ENSO seasonal forecast skill using CMIP5 model‐analogs. Geophys. Res. Lett., 46 (3), 1721-1730. doi:10.1029/2018GL080598

Dippe T., R. J. Greatbatch and H. Ding (May 2019): Seasonal prediction of equatorial Atlantic sea surface temperature using simple initialization and bias correction techniques. Atmos. Sci. Lett., 20 (E898), doi:10.1002/asl.898

Draper C. and R. H. Reichle (June 2019): Assimilation of Satellite Soil Moisture for Improved Atmospheric Reanalyses. Mon. Wea. Rev., 147, 2163-2188. doi:10.1175/MWR-D-18-0393.1

Engdahl B. J. K., G. Thompson and L. Bengtsson (December 2019): Improving the representation of supercooled liquid water in the HARMONIE-AROME weather forecast model. Tellus A: Dyn. Meteor. Oceanogr., 72 (1), 1-18. doi:10.1080/16000870.2019.1697603

Fernando H. J. S., J. Mann, J. M. L. M. Palma, J. K. Lundquist, R. J. Barthelmie, M. BeloPereira, W. O. J. Brown, F. K. Chow, T. Gerz, C. M. Hocut, P. M. Klein, L. S. Leo, J. C. Matos, S. P. Oncley, S. C. Pryor, L. Bariteau, et al. (May 2019): The Perdigão: Peering into Microscale Details of Mountain Winds. Bull. Amer. Meteor., 147, 1319-1340. doi:10.1175/BAMS-D-17-0227.1

Fu S., X. Deng, M. D. Shupe and H. Xue (November 2019): A modelling study of the continuous ice formation in an autumnal Arctic mixed-phase cloud case. Atmos. Res., 228, 77-85. doi:10.1016/j.atmosres.2019.05.021

Fu S., M. D. Shupe and H. Xue (November 2019): A modelling study of the continuous ice formation in an autumnal Arctic mixed-phase cloud case. Atmos. Res., 228, 77-85. doi:10.1016/j.atmosres.2019.05.021

Funk C., S. Shukla, W. M. Thiaw, J. Rowland, A. Hoell, et al. (June 2019): Recognizing the Famine Early Warning Systems Network: Over 30 Years of Drought Early Warning Science Advances and Partnerships Promoting Global Food Security. Bull. Amer. Meteor. Soc., 100, 1011-1027. doi:10.1175/BAMS-D-17-0233.1

Gascón E., D. Lavers, T. M. Hamill, D. S. Richardson, Z. B. Bouallègue, M. Leutbecher and F. Pappenberger (October 2019): Statistical postprocessing of dual‐resolution ensemble precipitation forecasts across Europe. QJR Meteorol. Soc., 145 (724), 3218-3235. doi:10.1002/qj.3615

Gehne M., T. M. Hamill, G. T. Bates, P. Pegion and W. Kolczynski (April 2019): Land Surface Parameter and State Perturbations in the Global Ensemble Forecast System. Mon. Wea. Rev., 147, 1319-1340. doi:10.1175/MWR-D-18-0057.1

Ghate V. P., P. Kollias, S. Crewell, A. M. Fridlind, T. Heus, U. Löehnert, M. Maahn, G. M. McFarquhar, D. Moisseev, M. Oue, M. Wendisch and C. R. Williams (January 2019): The Second ARM Training and Science Application Event: Training the Next Generation of Atmospheric Scientists. Bull. Amer. Meteor. Soc., 100, ES5-ES9. doi:10.1175/BAMS-D-18-0242.1

Gou Y., H. Chen and J. Zheng (October 2019): Polarimetric Radar Signatures and Performance of Various Radar Rainfall Estimators during an Extreme Precipitation Event over the Thousand-Island Lake Area in Eastern China. Remote. Sens., 11 (20), p. 2335. doi:10.3390/rs11202335

Gou Y., H. Chen and J. Zheng (September 2019): An improved self-consistent approach to attenuation correction for C-band polarimetric radar measurements and its impact on quantitative precipitation estimation. Atmos. Res., 226, 32-48. doi:10.1016/j.atmosres.2019.03.006

Hagan D. F. T., R. M. Parinussa, G. Wang and C. Draper (December 2019): An Evaluation of Soil Moisture Anomalies from Global Model-Based Datasets over the People’s Republic of China. Water, 12 (1), p. 117. doi:10.3390/w12010117

Hamill T. M. (February 2019): Benchmarking the Raw Model-Generated Background Forecast in Rapidly Updated Surface Temperature Analyses. Part I: Stations. Mon. Wea. Rev., 148, 689-200. doi:10.1175/MWR-D-19-0027.1

Han H., J. Kim, V. Chandrasekar, J. Choi and S. Lim (August 2019): Modeling Streamflow Enhanced by Precipitation from Atmospheric River Using the NOAA National Water Model: A Case Study of the Russian River Basin for February 2004. Atmosphere, 10, p. 466. doi:10.3390/atmos10080466

Hartten L. M., P. E. Johnston, V. M. Rodríguez Castro and P. S. Esteban Pérez (September 2019): Post-Deployment Calibration of a Tropical UHF Profiling Radar via Surface- and Satellite-Based Methods. J. Atmos. Oceanic. Technol., 36, 1729-1751. doi:10.1175/JTECH-D-18-0020.1

He J. and H. Chen (April 2019): Atmospheric Retrievals and Assessment for Microwave Observations from Chinese FY-3C Satellite during Hurricane Matthew. Remote Sens., 11 (8), p. 896. doi:10.3390/rs11080896

Herring S. C., N. Christidis, A. Hoell, M. P. Hoerling and P. A. Stott ; Herring S. C., N. Christidis, A. Hoell, M. P. Hoerling and P. A. Stott (January 2019): Explaining Extreme Events of 2017 from a Climate Perspective. Bull. Amer. Meteor. Soc. , 100, S1-S117. doi:10.1175/BAMS-ExplainingExtremeEvents2017.1

Hoell A. and J. K. Eischeid (September 2019): On the interpretation of seasonal Southern Africa precipitation prediction skill estimates during Austral summer. Clim. Dyn., 53, 6769-6783. doi:10.1007/s00382-019-04960-5

Hoell A., J. Perlwitz, C. Dewes, K. Wolter, I. Rangwala, X.-W. Quan, J. K. Eischeid and (January 2019): Anthropogenic Contributions to the Intensity of the 2017 United States Northern Great Plains Drought. Bull. Amer. Meteor. Soc., 100, S19-S24. doi:10.1175/BAMS-D-18-0127.1

Hoerling M. P., J. J. Barsugli, B. Livneh, J. K. Eischeid, X.-W. Quan and A. M. Badger (December 2019): Causes for the Century-Long Decline in Colorado River Flow. J. Climate, 32, 8181-8203. doi:10.1175/JCLI-D-19-0207.1

Jacox M. G., D. Tommasi, M. A. Alexander, G. Hervieux and C. A. Stock (August 2019): Predicting the Evolution of the 2014–2016 California Current System Marine Heatwave From an Ensemble of Coupled Global Climate Forecasts. Front. Mar. Sci., 6, p. 497. doi:10.3389/fmars.2019.00497

Ji L., H. Chen, L. Li, X. Xiao, M. Chen and G. Zhang (June 2019): Raindrop Size Distributions and Rain Characteristics Observed by a PARSIVEL Disdrometer in Beijing, Northern China. Remote Sens., 11 (12), p. 1479. doi:10.3390/rs11121479

Kim J., H. Han, L. E. Johnson, S. Lim and R. Cifelli (October 2019): Hybrid machine learning framework for hydrological assessment. J. Hydrol., 577, p. 123913. doi:10.1016/j.jhydrol.2019.123913

Kim J., L. E. Johnson, R. Cifelli, A. Thorstensen and V. Chandrasekar (December 2019): Assessment of antecedent moisture condition on flood frequency: An experimental study in Napa River Basin, CA. J. Hydrol. Reg. Studies, 26, p. 100629. doi:10.1016/j.ejrh.2019.100629

Kim Y.-H., G. N. Kiladis, J. R. Albers, J. Dias, M. Fujiwara, J. A. Anstey, I.-S. Song, C. J. Wright, Y. Kawatani, F. Lott and C. Yoo (August 2019): Comparison of equatorial wave activity in the tropical tropopause layer and stratosphere represented in reanalyses. Atmos. Chem. Phys., 19, 10027-10050. doi:10.5194/acp-2019-110

Kirchhoff C. J., J. J. Barsugli, G. L. Galford, A. V. Karmalkar, K. Lombardo, S. Stephenson, M. Barlow, A. Seth, G. Wang and A. Frank (November 2019): Climate assessments for local action. Bull. Amer. Meteor. Soc., 100, 2147-2152. doi:0.1175/BAMS-D-18-0138.1

Kumar S., M. Newman, Y. Wang and B. Livneh (May 2019): Potential Reemergence of Seasonal Soil Moisture Anomalies in North America. J. Climate, 32, 2707-2734. doi:10.1175/JCLI-D-18-0540.1

Kushnir Y., A. A. Scaife, R. Arritt, G. Balsamo, G. Boer, F. Doblas-Reyes, E. Hawkins, M. Kimoto, R. K. Kolli, A. Kumar, D. Matei, K. Matthes, W. A. Muller, T. O'Kane, J. Perlwitz, S. Power, M. Raphael, A. Shimpo, D. Smith, M. Tuma and B. Wu (January 2019): Towards operational predictions of the near-term climate. Nature Clim. Change, 9, 94-101. doi:10.1038/s41558-018-0359-7

Li Z., H. Chen, H. Chu, V. Chandrasekar, H. Chen, H. Lei and L. Yu (September 2019): Monitoring wildfire using high-resolution compact X-band dual-polarization radar: A case study in southern China. Atmos. Res., 225, 165-171. doi:10.1016/j.atmosres.2019.04.007

Lundquist J. D., M. Hughes, E. Gutmann and S. Kapnick (December 2019): Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks. Bull. Amer. Meteor. Soc., 101, E265-E273. doi:10.1175/BAMS-D-19-0001.1

Ma Y., G. Ni, V. Chandrasekar, F. Tian and H. Chen (October 2019): Statistical characteristics of raindrop size distribution during rainy seasons in the Beijing urban area and implications for radar rainfall estimation. Hydrol. Earth Syst. Sci., 23, 4153-4170. doi:10.5194/hess-23-4153-2019

Maahn M., F. Hoffman, M. D. Shupe, G. deBoer, S. Y. Matrosov and E. P. Luke (June 2019): Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration? Atmos. Meas. Tech., 12 (6), 3151-3171. doi:10.5194/amt-12-3151-201

Martinez-Villalobos C., M. Newman, D. J. Vimont, C. Penland and D. J. Neelin (August 2019): Observed El Niño‐La Niña Asymmetry in a Linear Model. Geophys. Res. Lett., 46 (16), 9909-9919. doi:10.1029/2019GL082922

Matrosov S. Y. (January 2019): Comparative evaluation of snowfall retrievals from the CloudSat W-band radar using ground-based weather radars. J. Atmos. Oceanic Technol., 36, 101-111. doi:10.1175/JTECH-D-18-0069.1

Matrosov S. Y., M. Maahn and G. deBoer (September 2019): Observational and modeling study of ice hydrometeor radar dual-wavelength ratios. J. Appl. Meteor. Climatol., 58, 2005-2017. doi:10.1175/JAMC-D-19-0018.1

Mauritsen T., J. Bader, T. Becker, J. Behrens, . . ., R. Pincus, et al. (May 2019): Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO2. J. Adv. Model. Earth Syst., 11, 998-1038. doi:10.1029/2018MS001400

McCaffrey K., J. M. Wilczak, L. Bianco, E. Grimit, J. Sharp, R. M. Banta, K. Friedrich, H. J. S. Fernando, R. Krishnamurthy, L. S. Leo and P. Muradyan (December 2019): Identification and Characterization of Persistent Cold Pool Events from Temperature and Wind Profilers in the Columbia River Basin. J. Appl. Meteor. Climatol., 58, 2533-2551. doi:10.1175/JAMC-D-19-0046.1

McEvoy D. J., M. T. Hobbins, T. J. Brown, K. VanderMolen, T. Wall, J. L. Huntington and M. Svoboda (April 2019): Establishing Relationships between Drought Indices and Wildfire Danger Outputs: A Test Case for the California-Nevada Drought Early Warning System. Climate, 7 (4), p. 52. doi:10.3390/cli7040052

Min C., S. Chen, J. J. Gourley, H. Chen, A. Zhang, Y. Huang and C. Huang (June 2019): Coverage of China New Generation Weather Radar Network. Adv. Meteor., 2019, p. 5789358. doi:10.1155/2019/5789358

Moore B. J., D. Keyser and L. F. Bosart (September 2019): Linkages between Extreme Precipitation Events in the Central and Eastern United States and Rossby Wave Breaking. Mon. Wea. Rev., 147, 3327-3349. doi:10.1175/MWR-D-19-0047.1

Neiman P. J., D. J. Gottas and A. B. White (December 2019): A Two-Cool-Season Wind Profiler-Based Analysis of Westward-Directed Gap Flow Through the Columbia River Gorge. Mon. Wea. Rev., 147, 4653-4680. doi:10.1175/MWR-D-19-0026.1

Olson J. B., J. S. Kenyon, I. Djalalova, L. Bianco, D. D. Turner, . . ., E. Akish, J.-W. Bao, . . ., K. McCaffrey, . . ., J. M. Wilczak, et al. (November 2019): Improving Wind Energy Forecasting through Numerical Weather Prediction Model Development. Bull. Amer. Meteor. Soc., 100, 2201-2220. doi:10.1175/BAMS-D-18-0040.1

Penland C. (April 2019): The Nyquist Issue in Linear Inverse Modeling. Mon. Wea. Rev., 147, 1341-1349. doi:10.1175/MWR-D-18-0104.1

Pincus R., E. J. Mlawer and J. S. Delamere (October 2019): Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models. J. Adv. Model. Earth Syst., 11 (10), 3074-3089. doi:10.1029/2019MS001621

Popovicheva O., E. Diapouli, A. Makshtas, N. Shonija, M. Manousakas, D. Sarga, T. Uttal and K. Eleftheriadis (March 2019): East Siberian Arctic background and black carbon polluted aerosols at HMO Tiksi. Sci. Total Environ., 655, 924-938. doi:10.1016/j.scitotenv.2018.11.165

Ralph F. M., A. M. Wilson, T. Shulgina, B. Kawzenuk, S. Sellars, J. J. Rutz, M. A. Lamjiri, E. A. Barnes, A. Gershunov, B. Guan, K. M. Nardi, T. Osborne and G. A. Wick (April 2019): ARTMIP-early start comparison of atmospheric river detection tools: how many atmospheric rivers hit northern California’s Russian River watershed? Clim. Dyn., 52 (7-8), 4973-4994. doi:10.1007/s00382-018-4427-5

Randall D. A., C. M. Bitz, G. Danabasoglu, A. S. Denning, P. R. Gent, A. Gettelman, S. M. Griffies, P. Lynch, H. Morrison, R. Pincus and J. Thuburn (July 2019): 100 Years of Earth System Model Development. Meteor. Monogr., 59, 12.1-12.66. doi:10.1175/AMSMONOGRAPHS-D-18-0018.1

Ray A. J. and A. B. White (September 2019): The Hydrometeorology Testbed–West Legacy Observing Network: Supporting Research to Applications for Atmospheric Rivers and Beyond. Atmos., 10 (9), p. 533. doi:10.3390/atmos10090533

Rutz J. J., C. A. Shields, J. M. Lora, A. E. Payne, K. M. Mahoney, . . ., G. A. Wick, et al. (December 2019): The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology. J. Geophys. Res. Atmos., 124 (24), 13777-13802. doi:10.1029/2019JD030936

Scheuerer M. and T. M. Hamill (March 2019): Probabilistic Forecasting of Snowfall Amounts Using a Hybrid between a Parametric and an Analog Approach. Mon. Wea. Rev., 147, 1047-1064. doi:10.1175/MWR-D-18-0273.1

Shaw W. J., L. K. Berg, J. Cline, C. Draxl, I. Djalalova, . . . and J. M. Wilczak (September 2019): The Second Wind Forecast Improvement Project (WFIP2): General Overview. Bull. Amer. Meteor. Soc., 100, 1687-1699. doi:10.1175/BAMS-D-18-0036.1

Shi X., G. N. Kiladis and M. Wen (November 2019): Diagnostics of westward propagating East Asian monsoon low-pressure systems that reach the Indian monsoon region. Clim. Dyn., 54, 987-1005. doi:10.1007/s00382-019-05041-3

Shinoda T., L. Zamudio, Y. Guo, J. Metzger and C. W. Fairall (February 2019): Ocean variability and air-sea fluxes produced by atmospheric rivers. Sci. Reports, 9 (2152), doi:10.1038/s41598-019-38562-2

Shlyaeva A., J. S. Whitaker and C. Snyder (June 2019): Model‐Space Localization in Serial Ensemble Filters. J. Adv. Model. Earth Syst., 11 (6), 1627-1636. doi:10.1029/2018MS001514

Simpfendoerfer L. F., J. Verlinde, J. Y. Harrington, M. D. Shupe, Y.-S. Chen, E. E. Clothiaux and J.-C. Golaz (August 2019): Formation of Arctic Stratocumuli Through Atmospheric Radiative Cooling. J. Geophys. Res. Atmos., 124 (16), 9644-9664. doi:10.1029/2018JD030189

Sin'kevich A. A., Y. P. Mikhailovskii, S. Y. Matrosov, V.. B. Popov, V. S. Snegurov, A. V. Snegurov and A. Dovgalyuk (June 2019): Relationships between the Structure of Convective Clouds and Lightning Frequency Derived from Radiophysical Measurements. Russ. Meteor. Hydrol., 44 (6), 394-403. doi:10.3103/S1068373919060049

Slivinski L. C. (November 2019): Reconstructing the past 200 years of global weather. US CLIVAR Research Highlights,

Slivinski L. C., G. P. Compo, J. S. Whitaker, P. D. Sardeshmukh, B. S. Giese, C. McColl, . . ., L. J. Spencer, . . . and C. A. Smith (October 2019): Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system. QJR Meteorol. Soc., 145 (724), 2876-2908. doi:10.1002/qj.3598

Slivinski L. C., G. P. Compo, J. S. Whitaker, P. D. Sardeshmukh, J. A. Wang, J. M. Friedman and C. McColl (July 2019): What Is the Impact of Additional Tropical Observations on a Modern Data Assimilation System? Mon. Wea. Rev., 147, 2433-2449. doi:10.1175/MWR-D-18-0120.1

Smith G. C., R. Allard, M. Babin, L. Bertino, . . ., M. D. Shupe, S. Swart, O. M. Smedstad, A. Solomon, et al. (August 2019): Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season. Font. Mar. Sci., 6, p. 429. doi:10.3389/fmars.2019.00429

Solomon A. and M. D. Shupe (October 2019): A Case Study of Airmass Transformation and Cloud Formation at Summit, Greenland. J. Atmos. Sci., 76, 3095-3113. doi:10.1175/JAS-D-19-0056.1

Stammer D., A. Bracco, K. AchutaRao, L. Beal, . . ., A. Solomon, et al. (July 2019): Ocean Climate Observing Requirements in Support of Climate Research and Climate Information. Front. Mar. Sci., 6, p. 444. doi:10.3389/fmars.2019.00444

Stevenson S. N., A. Capotondi and J. T. Fasullo (June 2019): Forced changes to twentieth century ENSO diversity in a last Millennium context. Clim. Dyn., 52 (12), 7359-7374. doi:10.1007/s00382-017-3573-5

Stillwell R. A., R. R. Neely III, J. P. Thayer, V. P. Walden, M. D. Shupe and N. B. Miller (November 2019): Radiative Influence of Horizontally Oriented Ice Crystals over Summit, Greenland. J. Geophys. Res. Atmos., 124 (22), 12141-12156. doi:10.1029/2018JD028963

Subramanian A., M. A. Balmaseda, R. Chattopadhyay, L. R. Centurioni, B. D. Cornuelle, C. DeMott, T. M. Hamill, et al. (August 2019): Ocean observations to improve our understanding, modeling, and forecasting of subseasonal-to-seasonal variability. Front. Mar. Sci. , 6, p. 427. doi:10.3389/fmars.2019.00427

Sun L. and S. G. Penny (December 2019): Lagrangian Data Assimilation of Surface Drifters in a Double-Gyre Ocean Model Using the Local Ensemble Transform Kalman Filter. Mon. Wea. Rev., 147, 4533-4551. doi:10.1175/MWR-D-18-0406.1

Thompson E. J., J. N. Moum, C. W. Fairall and S. A. Rutledge (February 2019): Wind Limits on Rain Layers and Diurnal Warm Layers. J. Geophys. Res. Oceans, 124, 897-924. doi:10.1029/2018JC014130

Tjernström M., M. D. Shupe, I. M. Brooks, P. Achtert, J. Prytherch and J. Sedlar (February 2019): Arctic Summer Airmass Transformation, Surface Inversions, and the Surface Energy Budget. J. Climate, 32, 769-789. doi:0.1175/JCLI-D-18-0216.1

Tremblay S., J.-C. Picard, J. O. Bachelder, E. Lutsch, K. Strong, P. Fogal, W. R. Leaitch, S. Sharma, F. Kolonjari, C. J. Cox, R. Y.-W. Chang and P. L. Hayes (April 2019): Characterization of aerosol growth events over Ellesmere Island during the summers of 2015 and 2016. Atmos. Chem. Phys., 19 (8), 5589-5604. doi:10.5194/acp-19-5589-2019

Vano J. A., K. Miller, M. D. Dettinger, R. Cifelli, D. Curtis, A. Dufour, J. R. Olsen and A. M. Wilson (January 2019): Hydroclimatic Extremes as Challenges for the Water Management Community: Lessons from Oroville Dam and Hurricane Harvey. Bull. Amer. Meteor. Soc., 100, S9-S14. doi:10.1175/BAMS-D-18-0219.1

Wang J. A., P. D. Sardeshmukh, G. P. Compo, J. S. Whitaker, L. C. Slivinski, C. McColl and P. Pegion (April 2019): Sensitivities of the NCEP Global Forecast System. Mon. Wea. Rev., 147, 1237-1256. doi:10.1175/MWR-D-18-0239.1

Wendisch M., A. Macke, A. Ehrlich, C. Lüpkes, . . ., M. D. Shupe, et al. (May 2019): The Arctic Cloud Puzzle: Using ACLOUD/PASCAL Multiplatform Observations to Unravel the Role of Clouds and Aerosol Particles in Arctic Amplification. Bull. Amer. Meteor. Soc., 100, 841-871. doi:10.1175/BAMS-D-18-0072.1

White A. B., B. J. Moore, D. J. Gottas and P. J. Neiman (January 2019): Winter Storm Conditions Leading to Excessive Runoff above California’s Oroville Dam during January and February 2017. Bull. Amer. Meteor. Soc., 100, 55-70. doi:10.1175/BAMS-D-18-0091.1

Wilczak J. M., J. B. Olson, I. Djalalova, L. Bianco, L. K. Berg, W. J. Shaw, R. L. Coulter, R. M. Eckman, J. Freedman, C. Finley and J. Cline (July 2019): Data assimilation impact of in situ and remote sensing meteorological observations on wind power forecasts during the first Wind Forecast Improvement Project (WFIP). Wind Energy, 22 (7), 932-944. doi:10.1002/we.2332

Wilczak J. M., M. Stoelinga, L. K. Berg, J. Sharp, C. Draxl, K. McCaffrey, R. M. Banta, L. Bianco, I. Djalalova, . . ., R. P. Worsnop, . . . and A. B. White (September 2019): The Second Wind Forecast Improvement Project (WFIP2): Observational Field Campaign. Bull. Amer. Meteor. Soc., 100, 1701-1723. doi:10.1175/BAMS-D-18-0035.1

Wildmann N., N. Bodini, J. K. Lundquist, L. Bariteau and J. Wagner (December 2019): Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign. Atmos. Meas. Tech., 12, 6401-6423. doi:10.5194/amt-12-6401-2019

Yang J., K. Zhao, G. Zhang, G. Chen, H. Huang and H. Chen (August 2019): A Bayesian Hydrometeor Classification Algorithm for C-Band Polarimetric Radar. Remote Sens., 11 (16), p. 1884. doi:10.3390/rs11161884

Yocum H. and A. J. Ray (April 2019): Climate information to support wildlife management in the North Central United States. Reg. Environ. Change, 19 (4), 1187-1199. doi:10.1007/s10113-019-01474-y

Zhang T., J. Perlwitz, J. K. Eischeid, D. Murray, M. P. Hoerling and T. M. Hamill (September 2019): Towards Probabilistic Multivariate ENSO Monitoring. Geophys. Res. Lett., 46 (17-18), 10532-10540. doi:10.1029/2019GL083946

deBoer G., B. Argrow, J. Cassano, J. J. Cione, E. Frew, D. Lawrence, G. A. Wick and C. Wolff (March 2019): Advancing unmanned aerial capabilities for atmospheric research. Bull. Amer. Meteor. Soc., 100, ES105-ES108. doi:10.1175/BAMS-D-18-0254.1

deBoer G., C. J. Cox and J. M. Creamean (September 2019): Accelerated Springtime Melt of Snow on Tundra Downwind from Northern Alaska River Systems Resulting from Niveo-aeolian Deposition Events. Arctic, 72 (3), 215-335. doi:10.14430/arctic68654

deBoer G., D. Dexheimer, F. Mei, J. Hubbe, C. Longbottom, . . ., M. D. Shupe, A. Solomon, J. M. Intrieri, et al. (August 2019): Atmospheric observations made at Oliktok Point, Alaska, as part of the Profiling at Oliktok Point to Enhance YOPP Experiments (POPEYE) campaign. Earth Syst. Sci. Data, 11, 1349-1362. doi:10.5194/essd-11-1349-2019

Book Section

Hobbins M. T., I. Rangwala, J. J. Barsugli and C. Dewes ; Melesse A. M., W. Abtew and G. B. Senay (July 2019): Chapter 25. Extremes in evaporative demand and their implications for drought and drought monitoring in the 21st Century. In: Extreme Hydrology and Climate Variability: Monitoring, Modeling, Adaptation and Mitigation. Elsevier, New York, NY. ISBN 9780128159989

Hobbins M. T., G. Senay, P. H. Gowda and G. Artan ; Teegavarapu R., J. D. Salas and J. R. Stedinger (May 2019): Chapter 3. Evapotranspiration and Evaporative Demand. In: Statistical Analysis of Hydrological Variables: Methods and Applications. American Society of Civil Engineers, 71-143. ISBN 9780784415177


Hoell A., J. Perlwitz and J. K. Eischeid (February 2019): The Causes, Predictability, and Historical Context of the 2017 U.S. Northern Great Plains Drought. MONOGRAPH - Documentation. NOAA NIDIS. -- monograph

Jencso K., B. Parker, M. Downey, T. Hadwen, A. Howell, A. Hoell, et al. (May 2019): Flash Drought: Lessons Learned from the 2017 Drought Across the U.S. Northern Plains and Canadian Prairies. MONOGRAPH - Documentation. NOAA NIDIS. -- monograph

Linkov I., M. Kurth, B. Trump and R. S. Pulwarty (June 2019): The Business Case For Resilience In Water Infrastructure Investment. Background Paper for The Roundtable on Financing Water, Session 1,. MONOGRAPH - Other. OECD and IADB. Background Paper. -- monograph

Mahoney K. M., E. James, T. Alcott and R. Cifelli (November 2019): Colorado – New Mexico Regional Extreme Precipitation Study Summary Report, Volume IV: Application of Dynamical Model Approaches Using the NOAA High Resolution Rapid Refresh (HRRR) and Weather Research and Forecast (WRF) Models. MONOGRAPH - Technical Report. CO Division of Water Resources and NM Office of the State Engineer. -- monograph


Calvet J.-C., P. DeRosnay and S. G. Penny (November 2019): Assimilation of Remote Sensing Data into Earth System Models. Remote Sensing Special Issue . MDPI. ISBN 978-3-03921-640-6

Erian W., R. S. Pulwarty, et al. (May 2019): UN International Strategy for Disaster Risk reduction Global Assessment Report 2019. UN. ISBN 978-92-1-004180-5


Bariteau L., C. W. Fairall, B. W. Blomquist and S. Pezoa (May 2019): Surface meteorological data and turbulent fluxes collected by the NOAA as part of the Woods Hole Oceanographic Institute (WHOI) Hawaii Ocean Time-series Station (WHOTS) project in the North and Southeast Pacific Ocean from 2001-10-10 to 2018-04-12. doi:10.25921/2dck-3068

Compo G. P., L. C. Slivinski, J. S. Whitaker, P. D. Sardeshmukh, C. McColl, P. Brohan, R. Allan, X. Yin, R. Vose, L. J. Spencer, et al. (November 2019): The International Surface Pressure Databank version 4. doi:10.5065/9EYR-TY90

Rangwala I., L. Smith, G. Senay, J. J. Barsugli, S. Kagone and M. T. Hobbins (May 2019): Landscape Evaporative Response Index (LERI): A high resolution monitoring and assessment of evapotranspiration across the Contiguous United States. doi:10.21429/43r4-3q68

Slivinski L. C., G. P. Compo, J. S. Whitaker, P. D. Sardeshmukh, B. S. Giese, C. McColl, P. Brohan, R. Allan, X. Yin, R. Vose, H. Titchner, J. Kennedy, L. J. Spencer, et al. (October 2019): NOAA-CIRES-DOE Twentieth Century Reanalysis Version 3. doi:10.5065/H93G-WS83

Spencer L., C. McColl, P. Brohan, K. Wood, R. Allan and G. P. Compo (February 2019): OldWeather3 Marine Data for ICOADS Input. doi:10.5065/Q54H-3R61

This list was generated on Sun Oct 25 18:31:21 2020 MDT.
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