Google Scholar profile
Publications:
Blaskey, D., J. C. Koch, M. N. Gooseff, A. J. Newman, Y. Cheng, J. A. O’Donnell, and K. N. Musselman, 2023: Increasing Alaskan River discharge during the cold season is driven by recent warming. Environmental Research Letters, 18, 024042, doi:10.1088/1748-9326/acb661.
Dougherty, E. M., A. F. Prein, E. D. Gutmann, and A. J. Newman, 2023: Future simulated changes in central U.S. mesoscale convective system rainfall caused by changes in convective and stratiform structure. J. Geophysical Research-Atmospheres, 128, e2022JD037537, doi:10.1029/2022JD037537.
2022
Cheng, Y., K. N. Musselman, S. Swenson, D. Lawrence, J. J. Hamman, K. Dagon, and D. Kennedy, and A. J. Newman, 2022: Moving land models towards actionable science: A novel application of the Community Terrestrial Systems Model across Alaska and the Yukon River Basin. Water Resources Research, 59, e2022WR032204, doi:10.1029/2022WR032204.
Liu, H., A. W. Wood, A. J. Newman, and M. P. Clark, 2022: Ensemble dressing of meteorological fields: using spatial regression to estimate uncertainty in deterministic gridded meteorological datasets. J. Hydrometeorology, 23, 1525-1543, doi:10.1175/JHM-D-21-0176.1
Richards, M., M. Huang, M. J. Strickland, A. J. Newman, J. L. Warren, R. D’Souza, H. H. Chang, and L. A. Darrow, 2022: Acute associations between heatwaves and stillbirth in six US states. Environmental Health, 21, 1-11, doi:10.1186/s12940-022-00870-y
Sepúlveda, U., Mendoza, P. A., Mizukami, N., and Newman, A. J.: Revisiting parameter sensitivities in the Variable Infiltration Capacity model, Hydrol. Earth Syst. Sci., 26, 3419–3445, https://doi.org/10.5194/hess-26-3419-2022, 2022.
Mizukami, N., A. J. Newman, J. S. Littell, T. W. Giambelluca, A. W. Wood, E. D. Gutmann, J. J. Hamman, D. R. Gergel, B. Nijssen, M. P. Clark, and J. R. Arnold, 2022: New projections of 21st century climate and hydrology for Alaska and Hawai’i. Climate Services, doi:10.1016/jcliser.2022.100312.
Bunn, P. W., A. W. Wood, A. J. Newman, H.-I. Chang, C. L. Castro, M. P. Clark, and J. R. Arnold, 2022: Improving station-based ensemble surface meteorological analyses using numerical weather prediction: A case study of the Oroville Dam crisis precipitation event. J. Hydrometeorology, 23,1155-1169, doi:10.1175/JHM-D-21-0193.1.
Chen, K., M. Huang, C. Coon, A. J. Newman, L. A. Darrow, M. J. Strickland, H. A. Holmes, 2022. Estimating heat-related exposures and urban heat island impacts: A case study for the 2012 Chicago Heatwave. Geohealth, 6, e2021GH000535. https://doi.org/10.1029/2021GH000535.
Newman, A. J., Stone, A. G., Saharia, M., Holman, K. D., Addor, N., and Clark, M. P., 2021: Identifying Sensitivities in Flood Frequency Analyses using a Stochastic Hydrologic Modeling System, Hydrol. Earth Syst. Sci., 25, 5603-5621, doi:10.5194/hess-25-5603-2021.
Liu, H., B. Tolson, A. J. Newman, and A. W. Wood, 2021: Leveraging ensemble meteorological forcing data to improve parameter estimation of hydrologic models. Hydrologic Processes, doi:10.1002/hyp.14410.
Tang, G., M. P. Clark, S. M. Papalexiou, A. J. Newman, A. W. Wood, D. Brunet, P. H. Whitfield, 2021: EMDNA: Ensemble Meteorological Dataset for North America. Earth Syst. Sci. Data, 13, 3337-3362, doi:10.5194/essd-13-3337-2021.
Ikeda, K., R. Rassmussen, C. Liu, A. J. Newman, F. Chen, M. Barlage, E. Gutmann, J. Dudhia, D. Gochis, A. Dai, C. Luce, and K. Musselman, 2021: Projected future changes in snowfall and snowpack in the Western U.S. as captured by a convective resolving climate simulation: Mesoscale and microphysical factors. Climate Dynamics, 57, 2191-2215, doi:10.1007/s00382-021-05805-w.
Huang, M., M, J. Strickland, M. Richards, H. A. Holmes; A. J. Newman, J. V. Garn, Y. Liu, J. L. Warren, H. H. Chang; L. A. Darrow, 2021: Acute Associations between Heatwaves and Preterm and dEarly-term Birth in 50 US Metropolitan Areas in the 1980s: A Matched Case-Control Study. Environmental Health, 20, 47 doi:10.1186/s12940-021-00733-y.
Thomas, N.; S. T Ebelt; A. J Newman; N. Scovronick; R. R D’Souza; S. Moss; J. L Warren; M. J Strickland; L. A Darrow; H, Chang, 2021: Time-series analysis of daily ambient temperature and emergency department visits in five US cities with a comparison of exposure metrics derived from 1-km meteorology products. Environmental Health, 20, 55, doi:10.1186/s12940-021-00735-w.
Jian, S., J. L. Warren, N. Scovronick, S. Moss, L. A. Darrow, M. J. Strickland, A. J. Newman, Y. Chen, S. T. Ebelt, H. H. Chang, 2021: Using logic regression to characterize extreme heat exposures and their health associations: a time-series study of emergency department visits in Atlanta. BMC Medical Research Methodology, 21, 87, doi:10.1186/s12874-021-01278-x.
Newman, A. J., A. J. Monaghan, M. P. Clark, K. Ikeda, L. Xue, E. Gutmann, and J. R. Arnold, 2021: Hydroclimatic changes in Alaska portrayed by a high-resolution regional climate simulation. Climatic Change, 164(1), 1-21.
Xue, L., Y. Wang, A. J. Newman, K. Ikeda, R. M. Rasmussen, T. W. Giambelluca, R. J. Longman, A. J. Monaghan, M. P. Clark, and J. R. Arnold, 2020: How will rainfall change over Hawai‘I in the future? High resolution regional climate simulation for the Hawaiian Islands. Bulletin of Atmospheric Science and Technology, 1, 459-490.
Newman, A. J., M. P. Clark, A. W. Wood, and J. R. Arnold, 2020: Probabilistic spatial meteorological estimates for Alaska and the Yukon. J. Geophys. Research: Atmospheres. 125, e2020JD032696. https://doi.org/10.1029/2020JD032696
Poujol, B., A. F. Prein, and A. J. Newman, 2020: Kilometer-scale modeling projects a tripling of Alaskan convective storms in future climate. Climate Dynamics. https://doi.org/10.1007/s00382-020-05466-1
Tang, G., Clark, M. P., Newman, A. J., Wood, A. W., Papalexiou, S. M., Vionnet, V., and Whitfield, P. H.: SCDNA, 2020: a serially complete precipitation and temperature dataset for North America from 1979 to 2018, Earth Syst. Sci. Data. 12, 2381-2409, https://doi.org/10.5194/essd-12-2381-2020.
Newman, A.J., and M. P. Clark, 2020: TIER Version 1.0: An open-source Topographically InformEd Regression (TIER) model to estimate spatial meteorological fields. Geoscientific Model. Dev. 13, 1827–1843, https://doi.org/10.5194/gmd-13-1827-2020.
Longman, R. J., A. J. Newman, T. W. Giambelluca, M. Lucas, 2020: Characterizing the uncertainty and assessing the value of gap-filled daily rainfall data in Hawaiʻi. J. Appl. Meteor. Climatol., 59, 1261–1276, https://doi.org/10.1175/JAMC-D-20-0007.1
Brunner, M. I., L. A. Melsen, A. J. Newman, A. W. Wood, and M. P. Clark 2020: Future streamflow regime changes in the United States: assessment using functional classification. Hydrol. Earth Sys. Sci. 24, 3951–3966, https://doi.org/10.5194/hess-24-3951-2020.
He, C., F. Chen, M. Barlage, C. Liu, A. J. Newman, W. Tang, K. Ikeda, and R. Rasmussen, 2019: Can convection-permitting modeling provide decent precipitation for high-resolution snowpack simulations over mountains? J. Geophysical Research – Atmospheres, 124 (23), 12631-12654.
Rakovec, O., N. Mizukami, R. Kumar, A. J. Newman, S. Thober, A. W. Wood, M. P. Clark, and L. Samaniego, 2019: Diagnostic Evaluation of Large-domain Hydrologic Models calibrated across the Contiguous United States. J. Geophysical Research – Atmospheres, 124(24), pp.13991-14007.
Lee, J., P. Doubrawa, L. Xue, A. J. Newman, C. Draxl, and G. Scott, 2019: Wind resource assessment for Alaska’s offshore regions: valiation of a 14-year high-resolution WRF data set. Energies, 12(14), 2780; https://doi.org/10.3390/en12142780
Mizukami, N., O. Rakovec, A. J. Newman, M. Clark, A. Wood, H. Gupta, and R. Kumar, 2019: On the choice of calibration metrics for “high flow” estimation using hydrologic models. Hydrol. Earth Syst. Sci., 23, 2601-2614, https://doi:10.5194/hess-23-2601-2019.
Newman, A. J., M. P. Clark, R. J. Longman, E. Gilleland, T. W. Giambelluca, and J. R. Arnold, 2019: Use of daily station observations to produce high-resolution gridded probabilistic precipitation and temperature time series for the Hawaiian Islands. J. Hydrometeorology, 20, 509-529.
Newman, A. J., M. P. Clark, R. J. Longman, and T. W. Giambelluca 2019: Methodological Inter-Comparison of Gridded Precipitation and Temperature Products across Hawaii. J. Hydrometeorology, 20, 531-547.
Huang, G.-J., V. N. Bringi, A. J. Newman, G. Lee, D. Moisseev, and B. M. Notaros, 2019: Dual-Wavelength Radar Technique Development for Snow Rate Estimation: A Case Study from GCPEx. Atmos. Meas. Tech., 12, 1409-1427, https://doi:10.5194/amt-12-1409-2019.
Longman, R. J., A. G. Frazier, A. J. Newman, T. W. Giambelluca, D. Schanzebach, A. Kagawa-Viviani, H. Needham, G. Jacobs, J. R. Arnold, and M. P. Clark, 2018: High-resolution gridded daily rainfall and temperature for the Hawaiian Islands (1990-2014). J. Hydrometeorology 20, 489-508, https://doi.org/10.1175/JHM-D-18-0112.1
Addor, N. G. Nearing, C. Prieto, A. J. Newman, N. Le Vine, and M. P. Clark, 2018: A ranking of hydrological signatures based on their predictability in space. Water Resources Research, doi:10.1029/2018WR022606.
Newman, A. J.., M. Mizukami, M. Clark, A. W. Wood, B. Nijssen, and G. Nearing, 2017: Benchmarking of a physically based hydrology model. J. Hydrometeorology, 18, 2215-2225.
Melsen, L., N. Addor, N. Mizukami, A. J. Newman, P. Torfs, M. Clark, R. Uijlenhoet, and A. J. Teuling, 2018: Mapping (dis)agreement in hydrologic projections. Hydrol. Earth Syst. Sci., 22, 1775-1791, doi:10.5194/hess-22-1775-2018.
Longman, R. J., T. W. Giambelluca, M. A. Nullet, A. G. Frazier, K. Kodama, S. D. Crausbay, P. D. Krushelnycky, S. Cordell, M. P. Clark, A. J. Newman, J. R. Arnold, 2018: Compliation of climate data from heterogeneous networks across the Hawaiian Islands. Sci. Data, 5, 180012, doi:10.1038/sdata.2018.12
Monaghan, A. J., M. P. Clark, M. P. Barlage, A. J. Newman, L. Xue, J. R. Arnold, and R. M. Rasmussen, 2018: High-resolution historical climate simulations over Alaska: A new resource for the research community. J. Applied Meteor. Climatol., 57, 709-731.
Henn, B., A. J. Newman, B. Livneh, C. Daly, J. D. Lundquist, 2018: An assessment of differences in gridded precipitation datasets in complex terrain. Journal of Hydrology, 556, 1205-1219.
Henn, B., M. P. Clark, D. Kavetski, A. J. Newman, M. Hughes, B. McGurk, and J. Lundquist, 2018: Spatiotemporal patterns of precipitation inferred from streamflow observations across the Sierra Nevada mountain range. Journal of Hydrology, 556, 993-1012.
Mizukami, N., M. P. Clark, A. J. Newman, A. W. Wood, E. Gutmann, B. Nijssen, O. Rakovec, and L. Samaniego, 2017: Towards seamless large domain parameter estimation for hydrologic models. Water Resources Research, 53, 8020-8040.
Addor, N., A. J. Newman, N. Mizukami, M. P. Clark, 2017: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci, 21, 5293-5313, doi:10.5194/hess-21-5293-2017.
Huang, C., A. J. Newman, M. P. Clark, A. W. Wood, and X. Zheng, 2017: Evaluation of snow data assimilation using the Ensemble Kalman Filter for seasonal streamflow prediction in the Western United States. Hydrol. Earth Syst. Sci., 21, 635-650, doi:10.5194/hess-21-635-2017.
Notaroš, B. M., V. N. Bringi, C. Kleinkort, P. Kennedy, G.-J. Huang, M. Thurai, A. J. Newman, W. Bang, and G. Lee, 2016: Accurate Characterization of Winter Precipitation Using Multi-Angle Snowflake Camera, Visual Hull, Advanced Scattering Methods and Polarimetric Radar. Atmosphere, 7(6), 81, doi:10.3390/atmos7060081.
Liu, C., K. Ikeda, R. Rasmussen, M. Barlage, G. Thompson, A. J. Newman, A. F. Prein, F. Chen, L. Chen, M. Clark, A. Dai, J. Dudhia, T. Eidhammer, D. Gochis, E. Gutmann, S. Kurkute, Y. Li, and D. Yates, 2016: Continental-scale convection-permitting modeling of the current and future climate of North America. Climate Dynamics, doi:10.1007/s00382-016-3327-9.
Wood, A. W., T. Hopson, A. J. Newman, L. Brekke, J. R. Arnold, and M. P. Clark: 2016: Quantifying streamflow forecast skill elasticities to initial condition and climate prediction skill. J. Hydrometeorology, 17, 651-668.
Mizukami, N., M. P. Clark, E. D. Gutmann, P. A. Mendoza, A. J. Newman, B. Livneh, B. Nijssen, L. Hay, L. D. Brekke and J. R. Arnold, 2016: Implications of the methodological choices for hydrologic portrayals over the Contiguous United States: statistically downscaled forcing data and hydrologic models. J. Hydrometeorology, 17, 73-98.
Newman, A. J., M. P. Clark, J. Craig, B. Nijssen, A. W. Wood, E. D. Gutmann, N. Mizukami, L. Brekke, and J. R. Arnold, 2015: An observationally based gridded ensemble of precipitation and temperature data for the contiguous USA. J. Hydrometeorology, doi:10.1175/JHM-D-15-0026.1.
Newman, A. J., M. P. Clark, K. Sampson, A. Wood, L. E. Hay, A. Bock, R. Viger, D. Blodgett, L. Brekke, J. R. Arnold, T. Hopson and Q. Duan, 2015: Development of a large-sample watershed-scale hydrometeorological dataset for the contiguous USA: Dataset characteristics and assessment of regional variability in hydrologic model performance. Hydrology and Earth System Science, 19, 209-223, doi:10.5194/hess-19-209-2015.
Mendoza, P. A., M. P. Clark, N. Mizukami, A. J. Newman, M. Barlage, E. D. Gutmann, R. Rasmussen, B. Rajagopalan, L. D. Brekke, and J. R. Arnold, 2015: Effects of Hydrologic Model Choice and Calibration on the Portrayal of Climate Change Impacts. J. Hydrometeorology, 16, 762-780.
Gochis, D., R. Schumacher, K. Friedrich, N. Doesken, M. Kelsch, J. Sun, K. Ikeda, D. Lindsey, A. Wood, B. Dolan, S. Matrosov, A. Newman, K. Mahoney, S. Rutledge, R. Johnson, P. Kucera, P. Kennedy, D. Sempere-Torres, M. Steiner, R. Roberts, J. Wilson, W. Yu, V. Chandrasekar, R. Rasmussen, A. Anderson, B. Brown, 2015: The great Colorado flood of September 2013. Bulletin of the American Meteorological Society, 96, 1461-1487, doi: 10.1175/BAMS-D-13-00241.1.
Newman, A. J., M. P. Clark, A. Winstral, D. Marks, and M. Seyfried, 2014: The use of similarity concepts to represent sub-grid variability in hydrologic and land-surfacemodels: Case study in a snowmelt dominated watershed, J. Hydrometeorology, 15, 1717-1738.
Newman, A. J., and R. H. Johnson 2013: Dynamics of a North American Gulf Surge Event, Mon. Wea. Rev., 141, 3238-3253.
Newman, A. J., and R. H. Johnson, 2012: Mechanisms for Precipitation Enhancement in a North American Monsoon Upper-Tropospheric Trough, J. Atmos. Sci., 69, 1775-1792.
Newman, A. J., and R. H. Johnson, 2012: Simulation of a North American Monsoon Gulf Surge Event and Comparison to Observations, Mon. Wea. Rev., 140, 2534-2554.
Johnson, R. H., P. E. Ciesielski, T. S. L’Ecuyer, A. J. Newman, 2010: Diurnal Cycle of Convection during the 2004 North American Monsoon Experiement. J. Climate, 23, 1060-1078.
Newman, A. J., P. A. Kucera, and L. F. Bliven, 2009: Presenting the Snowflake Video Imager (SVI). J. Atmos. Oceanic Technol., 26, 167-179.
Newman, A. J., P. A. Kucera, C. R. Williams, and L. F. Bliven, 2009: Snowflake Size Spectra Retrieved from a UHF Vertical Profiler. J. Atmos. Oceanic Technol., 26, 180-199.