Jared Lee

Proj Scientist II

Information

Bio

Jared Lee is a Project Scientist II at the Research Applications Lab at the U.S. National Science Foundation National Center for Atmospheric Research (NSF NCAR/RAL) in Boulder, Colorado. He earned a a B.A. in Physics from Gustavus Adolphus College (2005), followed by an M.S. and Ph.D. in Meteorology from Penn State University (2007, 2012). After earning his doctorate, Jared held postdoctoral appointments at the Naval Postgraduate School and NSF NCAR, and has been a Project Scientist at NSF NCAR/RAL since 2014. Jared's research interests include wind/solar energy forecasting, wind/solar energy resource assessment, air quality forecasting, and several other applications requiring numerical weather prediction modeling.

Jared has been married to his wife Karen since 2013, and they have two children.

Jared currently serves as the Co-Chair of the American Meteorological Society (AMS) Energy Committee, in addition to several other volunteer roles on boards, committees, and task forces within NSF NCAR, AMS, the Energy Systems Integration Group (ESIG), and the World Energy Meteorology Council (WEMC).

Publications

Book Chapters

Haupt, S. E., B. Kosović, J. A. Lee, and P. A. Jiménez, 2019: Mesoscale modeling of the atmosphere. In: Veers, P. (Ed.), Wind power modeling and simulation. Volume 1: Atmosphere and plant. IET Publishing, Stevenage, UK, 420 pp., https://doi.org/10.1049/PBPO125F_ch3.
Jiménez, P. A., J. A. Lee, S. E. Haupt, and B. Kosović, 2019: Solar resource evaluation with numerical weather prediction models. In: J. Polo et al. (Eds.), Solar resources mapping: Fundamentals and applications. Green Energy and Technology, Springer Nature, Cham, Switzerland, 367 pp., https://doi.org/10.1007/978-3-319-97484-2_7.
Haupt, S. E., P. A. Jiménez, J. A. Lee, and B. Kosović, 2017: Principles of meteorology and numerical weather prediction. In: Kariniotakis, G. (Ed.), Renewable energy forecasting: From models to applications. Woodhead Publishing, Cambridge, MA, 373 pp., https://doi.org/10.1016/B978-0-08-100504-0.00001-9.

Journal Articles

2024

Jiménez y Muñoz, P. A., R. Kumar, C. He, and J. A. Lee, 2024: Soil moisture impacts on the dust direct radiative effect across the Contiguous U.S. Geophys. Res. Lett., submitted.
Jiménez, P. A., R. Kumar, C. He, and J. A. Lee, 2024: Improvements in WRF-Chem soil moisture from SMAP retrievals lead to only small improvement in dust emissions over western U.S. Mon. Wea. Rev., conditionally accepted and in revision.
Naegele, S., J. M. Wilczak, S. J. Greybush, G. S. Young, M. Gervais, and J. A. Lee, 2024: Analyzing self-organizing maps of modeled U.S. coastal wind regimes with a comparison to observations. Artif. Intell. Earth Syst., conditionally accepted and in revision.
Lee, J. A., W. W. Grabowski, S. A. Tessendorf, L. Xue, Y. Wehbe, S. Chen, C. Liu, and R. M. Rasmussen, 2024: Investigation of the terrain impacts on convective initiation over the Al Hajar Mountains. Mon. Wea. Rev., conditionally accepted and in revision.
Lee, J. A., S. Alessandrini, J.-H. Kim, S. Meech, R. Kumar, I. V. Djalalova, and J. M. Wilczak, 2024: Comparison of CAMS and CMAQ analyses of surface-level PM2.5 and O3 over the conterminous United States (CONUS). Atmos. Environ., 338, 120833, https://doi.org/10.1016/j.atmosenv.2024.120833.
Lee, J. A., S. M. Dettling, J. Pearson, T. Brummet, and D. P. Larson, 2024: NYSolarCast: A solar power forecasting system for New York State. Sol. Energy, 272, 112462, https://doi.org/10.1016/j.solener.2024.112462.
Naegele, S., J. A. Lee, S. J. Greybush, G. S. Young, and S. E. Haupt, 2024: Identifying wind regimes near Kuwait using self-organizing maps. J. Renew. Sustain. Energy, 16, 026501, https://doi.org/10.1063/5.0152718.
Lee, J. A., P. A. Jiménez, R. Kumar, and C. He, 2024: Impact of direct insertion of SMAP soil moisture retrievals in WRF-Chem for dust storm events in the western U.S. Atmos. Environ., 321, 120349, https://doi.org/10.1016/j.atmosenv.2024.120349.

2023

Gopalakrishnan, D., S. Taraphdar, O. M. Pauluis, L. Xue, R. S. Ajayamohan, N. Al Shamsi, S. Chen, J. A. Lee, W. W. Grabowski, C. Liu, S. Tessendorf, and R. Rasmussen, 2023: Anatomy of a summertime convective event over the Arabian region. Mon. Wea. Rev., 151, 989–1004, https://doi.org/10.1175/MWR-D-22-0082.1.
Lee, J. A., P. A. Jiménez, J. Dudhia, and Y.-M. Saint-Drenan, 2023: Impacts of the aerosol representation in WRF-Solar clear-sky irradiance forecasts over CONUS. J. Appl. Meteor. Climatol., 62, 227–250, https://doi.org/10.1175/JAMC-D-22-0059.1.

2022

Jiménez, P. A., J. Dudhia, G. Thompson, J. A. Lee, and T. Brummet, 2022: Improving the cloud initialization in WRF-Solar with enhanced short-range forecasting functionality: The MAD-WRF model. Sol. Energy, 239, 221–233, https://doi.org/10.1016/j.solener.2022.04.055.

2021

Geresdi, I., L. Xue, S. Chen, Y. Wehbe, R. Bruintjes, J. A. Lee, R. M. Rasmussen, W. W. Grabowski, N. Sarkadi, and S. A. Tessendorf, 2021: Impact of hygroscopic seeding on the initiation of precipitation formation: Results of a hybrid bin microphysics parcel model. Atmos. Chem. Phys., 21, 16143–16159, https://doi.org/10.5194/acp-2021-506.
Al-Rasheedi, M., M. Al-Khayat, C. A. Gueymard, S. E. Haupt, B. Kosović, A. Al-Qattan, and J. A. Lee, 2021: Performance analysis of a 10-MW wind farm in the hot and dusty environment of Kuwait. Part 1: Performance evaluation of the wind power to energy generation. Sustain. Energy Tech. Assess., 47, 101487, https://doi.org/10.1016/j.seta.2021.101487.
Al-Khayat, M., M. Al-Rasheedi, C. A. Gueymard, S. E. Haupt, B. Kosović, A. Al-Qattan, and J. A. Lee, 2021: Performance analysis of a 10-MW wind farm in the hot and dusty environment of Kuwait. Part 2: Combined dust and high-temperature effects on the performance of wind turbines. Sustain. Energy Tech. Assess., 47, 101461, https://doi.org/10.1016/j.seta.2021.101461.

2020

Siems-Anderson, A. R., J. A. Lee, B. G. Brown, G. Weiner, and S. Linden, 2020: Using connected vehicles as a source of observations for numerical weather prediction. Transport. Res. Interdiscip. Perspect., 8, 100253, https://doi.org/10.1016/j.trip.2020.100253.
Kumar, R., S. Alessandrini, A. Hodzic, and J. A. Lee, 2020: A novel ensemble design for probabilistic predictions of fine particulate matter over the contiguous United States (CONUS). J. Geophys. Res. Atmos., 125, e2020JD032554, https://doi.org/10.1029/2020JD032554.
Al-Rasheedi, M., C. A. Gueymard, M. Al-Khayat, A. Ismail, J. A. Lee, and H. Al-Duaj, 2020: Performance evaluation of a utility-scale dual-technology photovoltaic power plant at the Shagaya Renewable Energy Park in Kuwait. Renew. Sustain. Energy Rev., 133, 110139, https://doi.org/10.1016/j.rser.2020.110139.
Haupt, S. E., T. C. McCandless, S. Dettling, S. Alessandrini, J. A. Lee, S. Linden, W. Petzke, T. Brummet, N. Nguyen, B. Kosović, G. Wiener, T. Hussain, and M. Al-Rasheedi, 2020: Artificial intelligence for improving physics predictions in renewable energy forecasting. Energies, 13, 1979, https://doi.org/10.3390/en13081979.
Mitchell, M. J., B. C. Ancell, J. A. Lee, and N. H. Smith, 2020: Configuration of statistical post-processing techniques for improved low-level wind speed forecasts in west Texas. Wea. Forecasting, 35, 129–147, https://doi.org/10.1175/WAF-D-18-0186.1.

2019

Lee, J. A., P. Doubrawa, L. Xue, A. J. Newman, C. Draxl, and G. Scott, 2019: Wind resource assessment for Alaska's offshore regions: Validation of a 14-year high-resolution WRF data set. Energies, 12, 2780, https://doi.org/10.3390/en12142780.
Kumar, R., J. A. Lee, L. Delle Monache, and S. Alessandrini, 2019: Effect of meteorological variability on fine particulate matter simulations over the contiguous United States. J. Geophys. Res. Atmos., 124, 5669–5694, https://doi.org/10.1029/2018JD029637.

2018

Haupt, S. E., B. Kosović, T. Jensen, J. K. Lazo, J. A. Lee, P. A. Jiménez, J. Cowie, G. Wiener, T. C. McCandless, M. Rogers, S. Miller, M. Sengupta, Y. Xie, L. Hinkleman, P. Kalb, and J. Heiser, 2018: Building the Sun4Cast system: Improvements in solar power forecasting. Bull. Amer. Meteor. Soc., 99, 121-136, https://doi.org/10.1175/BAMS-D-16-0221.1.

2017

Lee, J. A., S. E. Haupt, P. A. Jiménez, M. A. Rogers, S. D. Miller, and T. C. McCandless, 2017: Solar irradiance nowcasting case studies near Sacramento. J. Appl. Meteor. Climatol., 56, 85-108, https://doi.org/10.1175/JAMC-D-16-0183.1.
Lee, J. A., J. P. Hacker, L. Delle Monache, B. Kosović, A. Clifton, F. Vandenberghe, and J. Sanz Rodrigo, 2017: Improving wind predictions in the marine atmospheric boundary layer through parameter estimation in a single column model. Mon. Wea. Rev., 145, 5-24, https://doi.org/10.1175/MWR-D-16-0063.1.

2016

Jiménez, P. A., S. Alessandrini, S. E. Haupt, A. Deng, B. Kosović, J. A. Lee, and L. Delle Monache, 2016: The role of unresolved clouds on short-range global horizontal irradiance predictability. Mon. Wea. Rev., 144, 3099-3107, https://doi.org/10.1175/MWR-D-16-0104.1.
Lee, J. A., S. E. Haupt, and G. S. Young, 2016: Down-selecting numerical weather prediction multi-physics ensembles with hierarchical cluster analysis. J. Climatol. Wea. Forecast., 4, 156, https://doi.org/10.4172/2332-2594.1000156.

2009–2014

Reen, B. P., K. J. Schmehl, G. S. Young, J. A. Lee, S. E. Haupt, and D. R. Stauffer, 2014: Uncertainty in contaminant concentration fields resulting from uncertainty in the planetary boundary layer depth. J. Appl. Meteor. Climatol., 53, 2610-2626, https://doi.org/10.1175/JAMC-D-13-0262.1.
Lee, J. A., W. C. Kolczynski, T. C. McCandless, and S. E. Haupt, 2012: An objective methodology for configuring and down-selecting an NWP ensemble for low-level wind prediction. Mon. Wea. Rev., 140, 2270-2286, https://doi.org/10.1175/MWR-D-11-00065.1.
Peltier, L. J., S. E. Haupt, J. C. Wyngaard, D. R. Stauffer, A. Deng, J. A. Lee, K. J. Long, and A. J. Annunzio, 2010: Parameterizing mesoscale wind uncertainty for dispersion modeling. J. Appl. Meteor. Climatol., 48, 2305-2319, https://doi.org/10.1175/2010JAMC2396.1.
Lee, J. A., L. J. Peltier, S. E. Haupt, J. C. Wyngaard, D. R. Stauffer, and A. Deng, 2009: Improving SCIPUFF dispersion forecasts with NWP ensembles. J. Appl. Meteor. Climatol., 48, 2305-2319, https://doi.org/10.1175/2009JAMC2171.1.

Peer-Reviewed Conference Papers

Haupt, S. E., T. C. McCandless, J. A. Lee, B. Kosović, S. Alessandrini, S. Dettling, T. Hussain, and M. Al-Rasheedi, 2020: Combining physical modeling with artificial intelligence for solar power forecasting. 2020 47th IEEE Photovoltaic Specialists Conf. (PVSC), Calgary, AB, Inst. of Electrical and Electronics Engineers, 2051–2053, https://doi.org/10.1109/PVSC45281.2020.9300434.

Technical Notes and Reports

Jacobson, M., C. Draxl, T. Jimenez, B. O’Neill, T. Capozzola, J. A. Lee, F. Vandenberghe, and S. E. Haupt, 2018: Assessing the wind energy potential in Bangladesh. NREL Tech. Report NREL/TP-5000-71077, 136 pp., https://www.nrel.gov/docs/fy18osti/71077.pdf.
Haupt, S. E., B. Kosovic, T. Jensen, J. A. Lee, P. A. Jiménez, and Coauthors, 2016: The SunCast^TM Solar Power Forecasting System: The results of the Public-Private-Academic Partnership to Advance Solar Power Forecasting. NCAR Tech. Note NCAR/TN-526+STR, 307 pp., https://doi.org/10.5065/D6N58JR2.

Advocacy Reports and White Papers

Energy Systems Integration Group, 2023: Weather Dataset Needs for Analyzing Modern Power Systems (Full Report). A Report of the Weather Datasets Project Team. Reston, VA. https://www.esig.energy/weather-data-for-power-system-planning.

Ph.D. Dissertation

Lee, J. A., 2012: Techniques for down-selecting numerical weather prediction ensembles. Ph.D. dissertation, The Pennsylvania State University, 131 pp., https://doi.org/10.13140/RG.2.2.29268.81280.

M.S. Thesis

Lee, J. A., 2007: Improving predictions of contaminant dispersion with SCIPUFF using meteorological ensemble uncertainty. M.S. thesis, The Pennsylvania State University, 129 pp.

Datasets

Jiménez y Muñoz, P. A., R. Kumar, C. He, and J. A. Lee, 2024: Dataset: WRF-Chem simulations with and without the SMAP soil moisture retrievals and different levels of dust emissions. Research Data Archive at the NSF National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://rda.ucar.edu/datasets/dsd010062/. Accessed 10 Oct 2024.
Jiménez Muñoz, P. A., R. Kumar, C. He, and J. A. Lee, 2024: Dataset: Sensitivity of radiation to soil moisture modulations of dust emissions. Version 1.0. UCAR/NCAR – GDEX. https://doi.org/10.5065/j28h-a671. Accessed 25 Sep 2024.
Lee, J. A., J.-H. Kim, S. Meech, I. V. Djalalova, S. Alessandrini, R. Kumar, and J. M. Wilczak, 2024: Dataset: Comparison of CAMS and CMAQ analyses of surface-level PM2.5 and O3 over the conterminous United States (CONUS). Research Data Archive at the NSF National Center for Atmospheric Research, Computational and Information Systems Laboratory, https://doi.org/10.5065/EVBW-7805. Accessed 30 Aug 2024.
Lee, J. A., P. A. Jiménez, C. He, and R. Kumar, 2023: Dataset: WRF-Chem simulations of dust storms with and without inserting SMAP soil moisture retrievals. Version 1.0. UCAR/NCAR – GDEX. https://doi.org/10.5065/nq49-4y34. Accessed 9 Jan 2024.
Lee, J. A., P. A. Jiménez, J. Dudhia, and Y.-M. Saint-Drenan, 2022: Dataset: WRF-Solar AOD550 & Clear-Sky Irradiance Forecasts & Verifying Observations over CONUS. Version 1.0. UCAR/NCAR – GDEX. https://doi.org/10.5065/v94m-y402. Accessed 3 Aug 2022.
Lee, J. A., P. A. Jiménez, C. A. Gueymard, and N. Nguyen, 2021: Dataset: Middle East AOD550 forecasts & observations, 2018–2019. Version 1.0. UCAR/NCAR – GDEX. https://doi.org/10.5065/z8er-k616. Accessed 17 Mar 2021.

Preprints

Lee, J. A., C. A. Gueymard, and P. A. Jiménez, 2021: Performance of aerosol optical depth forecasts over the Middle East: Multi-model analysis and validation. Preprint, Earth and Space Science Open Archive (ESSOAr), https://doi.org/10.1002/essoar.10506487.1.

Conference oral presentations (presenter in bold):

2024

Lee, J. A., S. M. Dettling, J. Pearson, T. Brummet, and D. P. Larson, 2024: NYSolarCast: Utility-scale and distributed solar power forecasting in New York State. DOE Solar Forecasting Workshop 2024, Washington, DC, U.S. Dept. of Energy, 10 Jul 2024. Invited Presentation.
Lee, J. A., P. A. Jiménez, R. Kumar, and C. He, 2024: Analyzing the impact of inserting soil moisture retrievals from SMAP to improve dust simulations with WRF-Chem. Joint WRF/MPAS Users Workshop, Boulder, CO, NSF NCAR, 26 Jun 2024, https://www2.mmm.ucar.edu/wrf/users/workshops/WS2024/presentations/day2/17_Lee.pdf.
Lee, J. A., 2024: Status of climate change projections on wind & solar resources. ESIG 2024 Forecasting & Markets Workshop, Salt Lake City, UT, Energy Systems Integration Group, 13 Jun 2024, https://www.esig.energy/event/2024-forecasting-markets-workshop/. Invited Presentation.
Alessandrini, S., S. Meech, R. Kumar, J.-H. Kim, J. A. Lee, I. Djalalova, and J. Wilczak, 2024: Gridded post-processing air quality predictions based on the Community Multi-scale Air Quality (CMAQ) model. EGU General Assembly 2024, Vienna, Austria, Euro. Geophys. Union, EGU24-6190, 14–19 Apr 2024, https://doi.org/10.5194/egusphere-egu24-6190.
Lee, J. A., P. A. Jiménez, R. Kumar, and C. He, 2024: Assessing the impacts of assimilating SMAP soil moisture retrievals on WRF-Chem simulations of dust storm events. 20th Symp. on Operational Environmental Satellite Systems/26th Conf. on Satellite Meteorology, Oceanography, and Climatology/2nd Symp. on the Future of Weather, Forecasting, and Practice, Baltimore, MD, Amer. Meteor. Soc., J16A.6, 1 Feb 2024, https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/436906.
Eghdami, M., J. K. Wolff, J. A. Lee, J.-H. Kim, T. J. Hertneky, S. A. Tessendorf, B. Kosović, P. A. Jiménez, L. Xue, W. Petzke, P. McCarthy, M. L. Kunkel, N. Dawson, M. Meadows, and S. Parkinson, 2024: Development and assessment of an ensemble forecast system for fire weather and public safety power shutoffs in the Idaho region. 15th Conf. on Weather, Water, Climate, and the New Energy Economy, Baltimore, MD, Amer. Meteor. Soc., 7.3, 30 Jan 2024, https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/437671.
Rozoff, C. M., R. Kumar, P. McCarthy, W. Tang, S. Alessandrini, J. A. Lee, and T. W. Juliano, 2024: A dynamical ensemble approach to characterizing uncertainties in the prediction of air quality downstream of the massive western US wildfires of 2020. 23rd Joint Conf. on the Applications of Air Pollution Meteorology with the A&WMA, Baltimore, MD, Amer. Meteor. Soc., 4.1, 29 Jan 2024, https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/438242.
Knepper, R., S. C. Pryor, X. Zhou, J. A. Lee, and S. E. Haupt, 2024: I-WRF: Containerized WRF, MET, and MET Plus for Portability, Scaling, and Outreach. 10th Symp. on High Performance Computing for Weather, Water, and Climate, Baltimore, MD, Amer. Meteor. Soc., 2.2, 29 Jan 2024, https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/437380.
Jiménez, P. A., R. Kumar, C. He, and J. A. Lee, 2024: Role of soil moisture on the Earth’s radiative balance through modulations of dust radiative forcing. 16th Symp. on Aerosol Cloud Climate Interactions, Baltimore, MD, Amer. Meteor. Soc., 1A.5, 29 Jan 2024, https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/434035.

2023

Knepper, R., S. Pryor, B. Wineholt, M. Bukovsky, J. Lee, and X. Zhou, 2023: The I-WRF Framework: Containerized weather modeling, validation, and verification. PEARC ’23: Practice and Experience in Advanced Research Computing, Portland, OR, Assoc. for Computing Machinery, 206–210, https://doi.org/10.1145/3569951.3597547.
Lee, J. A., S. M. Dettling, J. Pearson, T. Brummet, and D. P. Larson, 2023: NYSolarCast: Utility and distributed solar power forecasting for New York State. 7th International Conf. on Energy & Meteorology, Padova, Italy, World Energy Meteorology Council.
Lee, J. A., S. M. Dettling, J. Pearson, T. Brummet, and D. P. Larson, 2023: Forecasting of DERs for bulk system operations: PV power forecasting for New York State with NYSolarCast. 2023 Meteorology and Market Design for Grid Services Workshop, Denver, CO, Energy Systems Integration Group, https://www.esig.energy/event/2023-meteorology-and-market-design-for-grid-servic.... Invited Presentation.
Lee, J. A., J.-H. Kim, S. Alessandrini, S. Meech, and R. Kumar, 2023: Comparison of CAMS and CMAQ forecasts of PM2.5 and ozone over CONUS. 25th Conf. on Atmospheric Chemistry, Denver, CO, Amer. Meteor. Soc., 14C.1, https://ams.confex.com/ams/103ANNUAL/meetingapp.cgi/Paper/417350.
Alessandrini, S., J. A. Lee, J.-H. Kim, S. Meech, and R. Kumar, 2023: Post-processing of CMAQ forecast for improving air quality predictions. 25th Conf. on Atmospheric Chemistry, Denver, CO, Amer. Meteor. Soc., 9C.4, https://ams.confex.com/ams/103ANNUAL/meetingapp.cgi/Paper/414045.
Lee, J. A., S. M. Dettling, J. Pearson, T. Brummet, and D. P. Larson, 2023: Utility and distributed PV power forecasting for New York State with NYSolarCast. 14th Conf. on Weather, Climate, and the New Energy Economy, Denver, CO, Amer. Meteor. Soc., 9.4, https://ams.confex.com/ams/103ANNUAL/meetingapp.cgi/Paper/417278.

2022

Naegele, S. M., J. Wilczak, S. J. Greybush, G. S. Young, J. A. Lee, and S. E. Haupt, 2022: Comparing observed and modeled offshore wind regimes near the northeastern United States using self-organizing maps. 21st Conf. on Artificial Intelligence for Environmental Science, Virtual, Amer. Meteor. Soc., J12A.4, https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/394496.
Jiménez, P. A., R. Kumar, J. A. Lee, and C. He, 2022: Improved dust outbreak predictions in the southwestern United States using SMAP soil moisture retrievals. 36th Conf. on Hydrology, Virtual, Amer. Meteor. Soc., 10Bii.5, https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/396007.
Lee, J. A., S. Dettling, J. Pearson, T. Brummet, and D. P. Larson, 2022: NYSolarCast: Forecasting solar power for New York State. 13th Conf. on Weather, Climate, and the New Energy Economy, Virtual, Amer. Meteor. Soc., 7.4, https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/397718.
Jiménez, P. A., J. Dudhia, and J. A. Lee, 2022: An overview of the MAD-WRF solar nowcasting model. 13th Conf. on Weather, Climate, and the New Energy Economy, Virtual, Amer. Meteor. Soc., 7.3, https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/396002.
Lee, J. A., W. W. Grabowski, Y. Wehbe, S. A. Tessendorf, L. Xue, C. Liu, R. M. Rasmussen, S. Chen, and C. Weeks, 2022: Investigating the mechanisms contributing to convective initiation over the Al Hajar Mountains using 1-km WRF simulations. 23rd Conf. on Planned and Inadvertent Weather Modification, Virtual, Amer. Meteor. Soc., 5.6, https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/397740.
Brummet, T., G. Wiener, J. A. Lee, S. M. Dettling, P. A. Jiménez, and S. E. Haupt, 2022: Leveraging machine learning to blend multiple near-term renewable energy forecast products. 13th Conf. on Weather, Climate, and the New Energy Economy, Virtual, Amer. Meteor. Soc., J4.3, https://ams.confex.com/ams/102ANNUAL/meetingapp.cgi/Paper/398979.

2021

Lee, J. A., S. Dettling, J. Pearson, T. Brummet, and D. P. Larson, 2021: NYSolarCast: A solar power forecasting system for New York State. Invited Abstract. AGU Fall Meeting 2021, New Orleans, LA, Amer. Geophys. Union, GC42C-05, https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/843427.
Lee, J. A., S. Dettling, J. Pearson, T. Brummet, and D. P. Larson, 2021: NYSolarCast: A statewide solar power forecasting system reliant upon NYS Mesonet data. New York State Mesonet 1st Annual Symposium, Albany, NY, Univ. at Albany.
Geresdi, I., S. Chen, Y. Wehbe, R. Bruintjes, J. A. Lee, S. A. Tessendorf, C. Weeks, N. Sarkadi, R. M. Rasmussen, W. Grabowski, and L. Xue, 2021: Sensitivity of the efficiency of hygroscopic seeding on the size distribution and chemical composition of the seeding material. 13th Symp. on Aerosol–Cloud–Climate Interactions, Virtual, Amer. Meteor. Soc., 13.8, https://ams.confex.com/ams/101ANNUAL/meetingapp.cgi/Paper/380955.
Naegele, S. M., S. J. Greybush, G. S. Young, J. A. Lee, S. E. Haupt, and T. C. McCandless, 2021: Wind regime identification using self-organizing maps for the Kuwait region. 12th Conf. on Weather Climate, and the New Energy Economy/20th Conf. on Artificial Intelligence for Environmental Science, Virtual, Amer. Meteor. Soc., J12.7, https://ams.confex.com/ams/101ANNUAL/meetingapp.cgi/Paper/382278.
Haupt, S. E., G. Wiener, S. Dettling, S. Alessandrini, S. Linden, J. A. Lee, T. C. McCandless, W. Petzke, N. Nguyen, T. Brummet, and B. Kosovic, 2021: Blending NWP and AI approaches to optimize renewable energy forecasting. 12th Conf. on Weather Climate, and the New Energy Economy/20th Conf. on Artificial Intelligence for Environmental Science, Virtual, Amer. Meteor. Soc., J12.1, https://ams.confex.com/ams/101ANNUAL/meetingapp.cgi/Paper/383972.
Lee, J. A., Y. Wehbe, C. Liu, S. A. Tessendorf, C. Weeks, S. Chen, R. Bruintjes, R. M. Rasmussen, and L. Xue, 2021: Sensitivity study of 1-km WRF configurations and aerosol loading on convective initiation over the Al Hajar Mountains. 13th Symp. on Aerosol–Cloud–Climate Interactions, Virtual, Amer. Meteor. Soc., 6.9, https://ams.confex.com/ams/101ANNUAL/meetingapp.cgi/Paper/383772.
Lee, J. A., C. A. Gueymard, P. A. Jiménez, and G. Thompson, 2021: Performance of AOD forecasts over the Middle East. 12th Conf. on Weather, Climate, and the New Energy Economy, Virtual, Amer. Meteor. Soc., 2.7, https://ams.confex.com/ams/101ANNUAL/meetingapp.cgi/Paper/383692.
Jiménez, P. A., J. Dudhia, and J. A. Lee, 2021: Recent developments of the MAD-WRF nowcasting system. 12th Conf. on Weather, Climate, and the New Energy Economy, Virtual, Amer. Meteor. Soc., 2.4, https://ams.confex.com/ams/101ANNUAL/meetingapp.cgi/Paper/381515.

2020

Lee, J. A., P. A. Jiménez, C. A. Gueymard, G. Thompson, B. Kosović, S. Basart, C. Pérez García-Pando, and M. Al-Rasheedi, 2020: Aerosol optical depth forecasts for solar irradiance forecasting in the Middle East. 11th Conf. on Weather, Water, Climate, and the New Energy Economy, Boston, MA, Amer. Meteor. Soc., 12.3, https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/367691.
Jiménez, P. A., G. Thompson, J. Dudhia, J. A. Lee, and C. Snyder, 2020: MAD-WRF for solar irradiance nowcasting. 11th Conf. on Weather, Water, Climate, and the New Energy Economy, Boston, MA, Amer. Meteor. Soc., 11.1, https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/364989.
Lee, J. A., S. E. Haupt, B. Kosović, G. Wiener, and M. Al-Rasheedi, 2020: Development of the Kuwait Renewable Energy Prediction System (KREPS). 11th Conf. on Weather, Water, Climate, and the New Energy Economy, Boston, MA, Amer. Meteor. Soc., 3.1, https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/367679.
Nguyen, N., W. Petzke, J. A. Lee, T. Brummet, G. Wiener, S. E. Haupt, B. Kosović, M. Al-Rasheedi, T. Hussain, and A. Ismail, 2020: Kuwait Renewable Energy Grid Operator’s Display. 11th Conf. on Weather, Water, Climate, and the New Energy Economy, Boston, MA, Amer. Meteor. Soc., 1.4, https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369015.

2019

Lee, J. A., S. E. Haupt, B. Kosovic, G. Wiener, P. A. Jiménez, and M. Al-Rasheedi, 2019: Renewable energy forecasting for Kuwait: A progress update. 6th International Conf. Energy & Meteorology, Copenhagen, Denmark, World Energy & Meteorol. Council, http://icem2019-abstract-submission.p.wemc.currinda.com/days/2019-06-27/abstract/783.
Lee, J. A., P. A. Jiménez, C. Gueymard, G. Thompson, B. Kosovic, J. Dudhia, and C. Pérez García-Pando, 2019: Modeling aerosol optical depth over the Arabian Desert for solar irradiance forecasting. 6th International Conf. Energy & Meteorology, Copenhagen, Denmark, World Energy & Meteorol. Council, http://icem2019-abstract-submission.p.wemc.currinda.com/days/2019-06-27/abstract/779.
Brasseur, J. G., B. Jayaraman, J. A. Lee, and S. E. Haupt, 2019: Nonequilibrium responses of microscale atmospheric turbulence to the passage of typical weather fronts at the mesoscale. Wind Energy Science Conf. 2019, Cork, Ireland, Euro. Acad. of Wind Energy, https://www.wesc2019.org/technical-programme.
Jiménez, P. A., G. Thompson, J. Dudhia, and J. A. Lee, 2019: The MAD-WRF solar irradiance nowcasting model: model overview and evaluation of the cloud initialization system. Joint WRF/MPAS Users’ Workshop 2019, Boulder, CO, https://www2.mmm.ucar.edu/wrf/users/workshops/WS2019/workshop19agenda.php.
Lee, J. A., M. Jacobson, T. Capozzola, C. Draxl, F. Vandenberghe, T. Jimenez, and S. E. Haupt, 2019: Assessment of the wind energy potential in Bangladesh. 10th Conf. on Weather, Climate, and the New Energy Economy, Phoenix, AZ, Amer. Meteor. Soc., 9.2, https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/353210.
Lee, J. A., S. Dettling, S. E. Haupt, and T. Brummet, 2019: Advancing solar irradiance nowcasts on Long Island: Blending WRF-Solar with observations. 10th Conf. on Weather, Climate, and the New Energy Economy, Phoenix, AZ, Amer. Meteor. Soc., 4.2, https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/353194.

2018

Lee, J. A., M. Barlage, and G. Thompson, 2018: Impacts of background albedo dataset on WRF model simulations. 25th Conf. on Numerical Weather Prediction, Denver, CO, Amer. Meteor. Soc., 9B.2, https://ams.confex.com/ams/29WAF25NWP/webprogram/Paper344761.html.
Lee, J. A., R. Kumar, L. Delle Monache, S. Alessandrini, and P. Lee, 2018: A novel ensemble design for probabilistic predictions of PM2.5 for the NAQFC. 20th Joint Conf. on the Applications of Air Pollution Meteorology with the A&WMA, Austin, TX, Amer. Meteor. Soc., 9.3, https://ams.confex.com/ams/98Annual/webprogram/Paper324799.html.
Lee, J. A., L. Xue, A. J. Newman, A. J. Monaghan, P. Doubrawa, C. Draxl, L. Kilcher, and G. Scott, 2018: Validation of a 14-year high-resolution WRF dataset for wind resource assessment over Alaska. 9th Conf. on Weather, Climate, and the New Energy Economy, Austin, TX, Amer. Meteor. Soc., 1.3, https://ams.confex.com/ams/98Annual/webprogram/Paper327317.html.

2017

Lee, J. A., R. Kumar, L. Delle Monache, S. Alessandrini, and P. Lee, 2017: Probabilistic predictions of PM2.5 using a novel ensemble design for the NAQFC. AGU Fall Meeting 2017, New Orleans, LA, Amer. Geophys. Union, A33L-06, https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/216082.
Brasseur, J. G., A. W. Lavely, T. Nandi, G. Vijayakumar, B. Jayaraman, S. E. Haupt, J. A. Lee, and J. Keller, 2017: Wind turbine response across scales: Simulation and experiment. Int. Conf. for Future Technologies in Wind Energy (WindTech 2017), Boulder, CO, http://windtechconferences.org/wp-content/uploads/2017/10/Brasseur-James-Abstract.pdf.
Lee, J. A., T. Eidhammer, and G. Thompson, 2017: Addressing a high-altitude cirrus deficit in the Thompson & Eidhammer aerosol-aware microphysics scheme. 28th Conf. on Weather Analysis and Forecasting / 24th Conf. on Numerical Weather Prediction, Seattle, WA, Amer. Meteor. Soc., 4B.1, https://ams.confex.com/ams/97Annual/webprogram/Paper313156.html.
Vigh, J. L., C. M. Ammann, J. A. Lee, and P. Naveau, 2017: The NCAR Climate Risk Management Engine (CRMe). 12th Symp. on Societal Applications: Policy, Research, and Practice, Seattle, WA, Amer. Meteor. Soc., 3.5, https://ams.confex.com/ams/97Annual/webprogram/Paper315972.html.
Hacker, J., R. Lorente-Plazas, N. Collins, and J. A. Lee, 2017: An approach to reduce systematic representativeness errors of surface observations in ensemble data assimilation. 21st Conf. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, Seattle, WA, Amer. Meteor. Soc., 4.2, https://ams.confex.com/ams/97Annual/webprogram/Paper309206.html.

2016

Lee, J. A., S. E. Haupt, P. A. Jiménez, M. A. Rogers, S. D. Miller, and T. C. McCandless, 2016: Nowcasting case studies with Sun4Cast^TM. Utility Variable-Generation Integration Group 2016 Forecasting Workshop, Denver, CO.
Lee, J. A., T. Eidhammer, and G. Thompson, 2016: Investigating cloud ice nucleation in the Thompson aerosol-aware microphysics scheme. 17^th WRF Users’ Workshop, Boulder, CO, http://www2.mmm.ucar.edu/wrf/users/workshops/WS2016/short_abstracts/8.4.pdf.
Lorente-Plazas, R., J. Hacker, and J. A. Lee, 2016: Bias estimation for near-surface observations in ensemble Kalman filter with WRF model over complex terrain. 19^th Joint Conf. on the Applications of Air Pollution Meteorology with the A&WMA, New Orleans, LA, Amer. Meteor. Soc., 10.4, https://ams.confex.com/ams/96Annual/webprogram/Paper289209.html.
Brown, B. G., M. Billmire, N. French, J. D. Horel, N. Lucke, J. Wang, J. Zeng, A. R. S. Anderson, J. A. Lee, L. Sturges, and P. Pisano, 2016: Experimental applications of mobile vehicle observations: Scientific and technical challenges associated with the utilization of vehicle probe data. 32^nd Conf. on Environmental Information Processing Technologies, New Orleans, LA, Amer. Meteor. Soc., 11B.2, https://ams.confex.com/ams/96Annual/webprogram/Paper290760.html.
Anderson, A. R. S., J. A. Lee, B. G. Brown, G. Weiner, S. Linden, L. Sturges, R. Patterson, and P. Pisano, 2016: Using mobile vehicle observations to improve numerical weather prediction forecasts. 20^th Conf. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), New Orleans, LA, Amer. Meteor. Soc., 5.3, https://ams.confex.com/ams/96Annual/webprogram/Paper287459.html.
Lee, J. A., S. E. Haupt, P. A. Jiménez, T. C. McCandless, M. A. Rogers, S. D. Miller, and X. Zhong, 2016: Nowcasting case studies with SunCast. 7^th Conf. on Weather, Climate, Water, and the New Energy Economy, New Orleans, LA, Amer. Meteor. Soc., 1.2, https://ams.confex.com/ams/96Annual/webprogram/Paper288480.html.

2015

Lee, J. A., S. E. Haupt, P. A. Jiménez, T. C. McCandless, M. A. Rogers, and S. D. Miller, 2015: Solar energy nowcasting case studies near Sacramento. 27^th Conf. on Weather Analysis and Forecasting/23^rd Conf. on Numerical Weather Prediction, Chicago, IL, Amer. Meteor. Soc., 16A.2, https://ams.confex.com/ams/27WAF23NWP/webprogram/Paper273565.html.
Anderson, A. R. S., J. A. Lee, B. G. Brown, G. M. Weiner, S. D. Drobot, P. Pisano, and L. Sturges, 2015: Connected vehicles: Filling in the observation gap for data assimilation. 27^th Conf. on Weather Analysis and Forecasting/23^rd Conf. on Numerical Weather Prediction, Chicago, IL, Amer. Meteor. Soc., 5A.8, https://ams.confex.com/ams/27WAF23NWP/webprogram/Paper273566.html.
Anderson, A. R. S., J. A. Lee, S. D. Drobot, and P. Pisano, 2015: Using connected vehicle data to fill in the observations gap for data assimilation. 19^th Conf. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), Phoenix, AZ, Amer. Meteor. Soc., TJ7.2, https://ams.confex.com/ams/95Annual/webprogram/Paper267813.html.
Lee, J. A., S. E. Haupt, P. Jimenez, T. C. McCandless, M. Rogers, and S. Miller, 2015: Comparison of solar energy nowcasting techniques. 6^th Conf. on Weather Climate, and the New Energy Economy, Phoenix, AZ, Amer. Meteor. Soc., 4.3, https://ams.confex.com/ams/95Annual/webprogram/Paper264080.html.
Gagne, D. J., S. E. Haupt, J. K. Williams, A. McGovern, J. A. Lee, and T. C. McCandless, 2015: Scaling machine learning models to produce high resolution gridded solar power forecasts. 13^th Conf. on Artificial Intelligence/31^st Conf. on Environmental Information Processing Technologies/Special Symposium on Model Postprocessing and Downscaling, Phoenix, AZ, Amer. Meteor. Soc., TJ1.1, https://ams.confex.com/ams/95Annual/webprogram/Paper269813.html.

2014

Lee, J. A., L. Delle Monache, J. P. Hacker, B. Kosovic, F. Vandenberghe, Y. Wu, A. Clifton, S. Hawkins, J. Nissen, and D. Rostkier-Edelstein, 2014: Using data assimilation and state estimation in marine boundary layer parameterizations to improve offshore wind energy prediction. 15^th WRF Users’ Workshop, Boulder, CO, http://www2.mmm.ucar.edu/wrf/users/workshops/WS2014/abstracts/3.4.pdf.
Lee, J. A. and J. P. Hacker, 2014: Using DART and state augmentation to update a surface layer parameter in WRF. 26^th Conference on Weather Analysis and Forecasting/22^nd Conference on Numerical Weather Prediction/18^th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, Atlanta, GA, Amer. Meteor. Soc, J5.3, https://ams.confex.com/ams/94Annual/webprogram/Paper239153.html.

2013

Lee, J. A., S. E. Haupt, and G. S. Young, 2013: Investigating seasonal impacts on clustering and ensemble down-selection. 11th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences, Austin, TX, Amer. Meteor. Soc., 3.4, https://ams.confex.com/ams/93Annual/webprogram/Paper222060.html.
Myers, W., J. Cowie, T. C. McCandless, and J. A. Lee, 2013: Probabilistic forecasts based on statistically-improved forecasts. 11th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences, Austin, TX, Amer. Meteor. Soc., 2.1, https://ams.confex.com/ams/93Annual/webprogram/Paper224564.html.

2012

Lee, J. A., S. E. Haupt, G. S. Young, W. C. Kolczynski, and T. C. McCandless, 2012: Evaluating methods for down-selecting NWP multiphysics ensembles for wind prediction. 10th Conference on Artificial Intelligence, New Orleans, LA, Amer. Meteor. Soc., 1.1, https://ams.confex.com/ams/92Annual/webprogram/Paper199939.html.

2011

Lee, J. A., S. E. Haupt, G. S. Young, W. C. Kolczynski, and T. C. McCandless, 2011: Statistical post-processing methods for down-selecting numerical weather prediction multiphysics ensembles for wind forecasting. 2011 AGU Fall Meeting, San Francisco, CA, Amer. Geophys. Union.

2010

Lee, J. A., W. C. Kolczynski, T. C. McCandless, K. J. Long, S. E. Haupt, D. R. Stauffer, and A. Deng, 2010: Evaluating NWP ensemble configurations for AT&D applications. 16th Conference on Air Pollution, Atlanta, GA, Amer. Meteor. Soc., 12.3, https://ams.confex.com/ams/pdfpapers/162494.pdf. Best Overall Presentation.

2009

Long, K. J., S. E. Haupt, M. Hendrickson, J. Keay, D. Miller, M. Coslo, J. A. Lee, and L. M. Rodriguez, 2009: Smoke plume characterization using photogrammetry techniques. 13th GMU Conf. on Atmospheric Transport & Dispersion Modeling, Fairfax, VA.
Lee, J. A., S. E. Haupt, D. R. Stauffer, L. J. Peltier, A. Deng, B. J. Gaudet, and J. C. Wyngaard, 2009: Toward an NWP ensemble configuration for AT&D applications. 13th GMU Conf. on Atmospheric Transport & Dispersion Modeling, Fairfax, VA.
Lee, J. A., L. J. Peltier, S. E. Haupt, J. C. Wyngaard, D. R. Stauffer, and A. Deng, 2009: Impacts on dispersion prediction resulting from different types of NWP ensembles. 11th Conference on Atmospheric Chemistry, Phoenix, AZ, Amer. Meteor. Soc., 8.5, https://ams.confex.com/ams/89annual/techprogram/paper_150267.htm. Third Place Student Oral Presentation.

2008

Lee, J. A., L. J. Peltier, S. E. Haupt, J. C. Wyngaard, D. R. Stauffer, and A. Deng, 2008: Impact of types of NWP ensembles on dispersion prediction. Chemical & Biological Defense Physical Science & Technology Conf., New Orleans, LA.
Lee, J. A., L. J. Peltier, S. E. Haupt, J. C. Wyngaard, D. R. Stauffer, and A. Deng, 2008: Improving SCIPUFF dispersion forecasts with meteorological ensemble uncertainty information. 12th GMU Conf. on Atmospheric Transport & Dispersion Modeling, Fairfax, VA.

2007

Lee, J. A., L. J. Peltier, S. E. Haupt, J. C. Wyngaard, D. R. Stauffer, A. Deng, and J. R. Zielonka, 2007: Using NWP ensembles to improve dispersion forecasts using SCIPUFF. 11th GMU Conf. on Atmospheric Transport & Dispersion Modeling, Fairfax, VA.

Curriculum Vitae

CurriculumVitae_JAL.pdf

Education

Degree	School Name	Country	Field of Study
BA	Gustavus Adolphus College	United States of America	Physics
MS	Pennsylvania State University-Main Campus	United States of America	Atmospheric Science/Meteorology
PhD	Pennsylvania State University-Main Campus	United States of America	Atmospheric Science/Meteorology