PSD Publications - CY 2019

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Item Type | Authors | Editors | No Grouping
Number of items: 71.

Article

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

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

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., 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

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

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

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

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

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

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

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

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 (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

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., 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

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 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 (June 2019): Climate assessments for local action. Bull. Amer. Meteor. Soc., ONLINE, doi:0.1175/BAMS-D-18-0138.1

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

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

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

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

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

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

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 (April 2019): The Second Wind Forecast Improvement Project (WFIP2): General Overview. Bull. Amer. Meteor. Soc., ONLINE, doi:10.1175/BAMS-D-18-0036.1

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

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., G. P. Compo, J. S. Whitaker, P. D. Sardeshmukh, B. S. Giese, C. McColl, . . ., L. J. Spencer, . . . and C. A. Smith (July 2019): Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system. QJR Meteor. Soc., ONLINE, 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

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

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

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 (April 2019): The Second Wind Forecast Improvement Project (WFIP2): Observational Field Campaign. Bull. Amer. Meteor. Soc., ONLINE, doi:10.1175/BAMS-D-18-0035.1

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

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

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

Dataset

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 Tue Oct 15 18:00:07 2019 MDT.
PSD Publications Archive
CY 2019 (71)
CY 2018 (123)
CY 2017 (147)
CY 2016 (135)
CY 2015 (141)
CY 2014 (126)
CY 2013 (138)
CY 2012 (118)
CY 2011 (115)
CY 2010 (106)
CY 2009 (109)
CY 2008 (118)
CY 2007 (94)
CY 2006 (99)
CY 2005 (76)