Google Scholar profile
Publications:
Lybarger, N. D., A. Smith, A. J. Newman, E.D. Gutmann, A. W. Wood, C. D. Frans, M. D. Warner, and J. R. Arnold, 2024: Improving Earth system model selection methodologies for projecting hydroclimatic change: Case study in the Pacific Northwest. J. Geophys. Research - Atmospheres, 129(7), e2023JD039774.
Blaskey, D., M. N. Gooseff, Y. Cheng, A. J. Newman, J. C. Koch, and K. N. Musselman, 2024: A high-resolution daily hindcast (1990-2021) of Alaskan river discharge and temperature from coupled and optimized physical models. Water Resources Research, 60(4), e2023WR036217.
Rugg, A., Gutmann, E. D., R. R. McCrary, F. Lehner, A. J. Newman, J. H. Richter, M. R. Tye, and A. W. Wood, 2023: Mass-conserving downscaling of climate model precipitation over mountainous terrain for water resource applications. Geophys. Research. Letters, 50, e2023GL105326.
Tang, G., Wood, A. W., Newman, A. J., Clark, M. P., and Papalexiou, S. M.: GPEP v1.0: the Geospatial Probabilistic Estimation Package to support Earth science applications, Geosci. Model Dev., 17, 1153–1173, https://doi.org/10.5194/gmd-17-1153-2024, 2024.
Darrow, L. A. and co-authors including A. J. Newman, 2024: Preterm and early-term delivery following heatwaves in 50 U.S. metropolitan areas. Journal of the American Medical Association Network Open.
Cosgrove, B. and co-authors including A. J. Newman, 2024: NOAA’s National Water Model: advancing operational hydrology through continental-scale modeling. JAWRA Journal of the American Water Resources Association.
Rasmussen, R. M., and co-authors including A. J. Newman, 2023: CONUS404: The NCAR-USGS 4-km Long-term regional hydroclimate reanalysis over the CONUS. Bull. Amer. Meteor. Soc., 104, E1382-1408, doi:10.1175/BAMS-D-21-0326.1.
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.
Hale, K., K. N. Musselman, A. J. Newman, B. Livneh, and N. P. Molotch, 2023: Effects of snow water storage on hydrological partitioning across the mountainous, western United States. Water Resources Research, in review.
Herman-Mercer, and co-authors, 2023: The Arctic Rivers Project: Using an equitable co-production framework for integrating meaningful community engagement and science to understand climate impacts. Community Science, in review.
Tang, G., M. P. Clark, W. Knoben, H. Liu, S. Gharari, L. Arnal, H. Beck, A. W. Wood, A. J. Newman, and S. M. Papalexiou, 2023: The impact of meteorological forcing uncertainty on hydrological modeling in cryosphere basins: A global analysis. Water Resources Research, in review.
Chakraborty, T.C., A. J. Newman, Y. Qian, A. Hsu, and G. Sheriff, 2023: Residential Segregation and Urban Heat Stress Disparities in the United States, One Earth, in review.
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.
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.
