Hsin I Chang

Interests

Teaching

Weather and climate variability,atmospheric dynamics, numerical modeling

Research

Regional climate modeling, Asian Monsoon, North American monsoon, Extreme events, Atmospheric dynamics, Climate change, Dust storms

Courses

Scholarly Contributions

Journals/Publications

• Chikamoto, Y., Wang, S., Chang, H., & Castro, C. (2024). Tropical Interbasin Interaction as Effective Predictors of Late-Spring Precipitation Variability in the Southern Great Plains. Journal of Climate, 37(22). doi:10.1175/JCLI-D-24-0013.1
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  The southern Great Plains experience fluctuating precipitation extremes that significantly impact agriculture and water management. Despite ongoing efforts to enhance forecast accuracy, the underlying causes of these climatic phenomena remain inadequately understood. This study elucidates the relative influence of the tropical Pacific and Atlantic basins on April-May-June precipitation variability in this region. Our partial ocean assimilation experiments using the Community Earth System Model unveil the prominent role of interbasin interaction, with the Pacific and Atlantic contributing approximately 70% and 30%, respectively, to these interbasin contrasts. Our statistical analyses suggest that these tropical interbasin contrasts could serve as a more reliable indicator for late-spring precipitation anomalies than El Niño-Southern Oscillation. The conclusions are reinforced by analyses of seven climate forecasting systems within the North American Multi- Model Ensemble, offering an optimistic outlook for enhancing real-time forecasting of late-spring precipitation in the southern plains. However, the current predictive skills of the interbasin contrasts across the prediction systems are hindered by the lower predictability of the tropical Atlantic Ocean, pointing to the need for future research to refine climate prediction models further.
• Yuan, S., Arellano, A., Knickrehm, L., Chang, H., Castro, C., & Furlong, M. (2024). Towards quantifying atmospheric dispersion of pesticide spray drift in Yuma County Arizona. Atmospheric Environment, 319. doi:10.1016/j.atmosenv.2023.120262
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  While pesticide vapor and particles from agricultural spray drift have been reported to pose a risk to public health, limited baseline ambient measurements exist to warrant an accurate assessment of their impacts at community-to-county-wide scale. Here, we present an initial modeling investigation of the transport and deposition of applied pesticides in an agricultural county in Arizona (Yuma County), to provide initial estimates on the corresponding enhancements in ambient levels of these spray drifts downwind of application sites. With a 50 × 50 km domain, we use the dispersion model CALPUFF with meteorology from the Weather Research and Forecasting (WRF) to investigate the spatiotemporal distribution of pesticide abundance due to spray drift from a representative sample of nine application sites. Data records for nine application days in September and October 2011, which are the peak months of pesticide application, were retroactively simulated for 48-h for all nine application sites using an active ingredient lambda-cyhalothrin, which is a commonly-used pesticide in the county. Twenty-one WRF/CALPUFF simulations were conducted with varying emissions, chemical lifetime, deposition rate, application height, and meteorology inputs, allowing for an ensemble-based analysis on the possible ranges in modeled abundance. Our results show that dispersion of vapors released at time of application heavily depends on prevailing meteorology, particularly wind speed and direction. Dispersion is limited to thin plumes that are easily transported out of the domain. The ensemble-mean vapor concentrations of the 48-h average (> 90 percentile domain-wide) range from 0.2 nanograms(ng)/m3 to 200 ng/m3, and the peak can be as high as 1000 ng/m3 near the application sites. Pesticide particles are mainly deposited within 1–2 km from the application sites at an average rate of 106ng/km2/h but vary with particle mean diameter and standard deviation. While these findings are generally consistent with reported ambient levels in the literature, the associated ensemble-spread on these estimates are in the same order of magnitude as their ensemble-mean. At the two nearby communities downwind of these sites, we find that peak vapor concentrations are less than 50 ng/m3 with exposure times of less than an hour, as approximately 99.4% of the vapors are advected out and 99.5% of the particles deposit within the domain. Results of this study indicate pesticide spray drift from a sample of application sites and representative days in Fall may have a limited impact on neighboring communities. However, we strongly suggest that field measurements should be collected for model validation and more rigorous investigation of the actual scale of these impacts when the bulk of pesticide applications across the county, variation in active pesticide ingredients, and potential resuspension of deposited particles are considered.
• Bunn, P., Newman, A., Chang, H. I., Castro, C. L., Arnold, J., & Clark, M. (2022). Improving station-based ensemble surface meteorological analyses using numerical weather prediction: A case study of the Oroville Dam crisis precipitation event. Journal of Hydrometeorology.
• Risanto, C. B., Chang, H. I., Luong, T. M., Castro, C. L., Desari, H. P., & Hoteit, I. (2022). Retrospective Sub-Seasonal Forecasts of Extreme Precipitation Events in the Arabian Peninsula Using Convective-Permitting Modeling. Climate Dynamics.
• Chang, H. I., Geogakakos, K. P., Modrick, T., Halper, E., Shamir, E., & Castro, C. L. (2019). Statistical and dynamical downscaling impact on projected hydrologic assessment in an arid environment: A case study from Bill Williams River Basin and Alamo Lake, Arizona.. Journal Hydrology X. doi:10.1016/j.hydroa.2019.100019
• Dominguez, F., Castro, C. L., Chang, H. I., & Pal, S. (2019). Credibility of Convective-Permitting Modeling to Improve Seasonal Precipitation Forecasting in the Southwestern United States. Front. Earth Sci.. doi:10.3389/feart.2019.00011
• Arias, P. A., Castro, C. L., Chang, H. I., Martínez, J. A., & Ochoa, C. (2018). Regional Climate Variability over Northern South America According to a WRF Multi-decadal Simulation. AGUFM.
• Carrillo, C. M., Castro, C. L., Garfin, G. M., Chang, H. I., Bukovsky, M. S., & Mearns, L. O. (2018). Pacific sea surface temperature related influences on North American monsoon precipitation within North American Regional Climate Change Assessment Program models. International Journal of Climatology.
• Luong, T. M., Castro, C. L., Nguyen, T. M., Chang, H. I., & Cassell, W. W. (2018). Improvement in the Modeled Representation of North American Monsoon Precipitation Using a Modified Kain–Fritsch Convective Parameterization Scheme. Atmosphere.
• Martinez, J. A., Arias, P. A., Castro, C. L., Chang, H. I., & Ochoa‐Moya, C. A. (2018). Sea surface temperature‐related response of precipitation in northern South America according to a WRF multi‐decadal simulation. International Journal of Climatology.
• Ochoa-Moya, C. A., Chang, H. I., Castro, C. L., Arias, P. A., & Martinez, J. A. (2018). Sea surface temperature-related response of precipitation in northern South America according to a WRF multi-decadal simulation. International Journal of Climatology. doi:10.1002/joc.5940
• Pal, S., Chang, H. I., Castro, C. L., & Dominguez, F. (2018). Improvement in Seasonal Precipitation Forecasting in the southwestern US using Convective-Permitting Modeling. Frontiers.
• Carillo, C. M., Castro, C. L., Chang, H. I., & Luong, T. M. (2017). Multi-year climate variability in the Southwestern United States within a context of a dynamically downscaled twentieth century reanalysis. Climate Dynamics.
• Castro, C. L., Chang, H. I., & Luong, T. M. (2017). American monsoon hydroclimate extremes in the Southwest U.S. influenced by dynamically downscaled CMIP5 ensembles. AGU Fall Meeting Abstracts.
• Mazon, J. J., Castro, C. L., Adams, D. K., Chang, H., Carrillo, C. M., & Brost, J. J. (2016). Objective Climatological Analysis of Extreme Weather Events in Arizona during the North American Monsoon. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 55(11), 2431-2450.
• Chang, H. I., Carrillo, C. M., Castro, C. L., Chief, K., Corkhill, F. E., Eden, S., Georgakakos, K. P., Megdal, S. B., Nelson, K. M., Prietto, J., & Shamir, E. (2015). Erratum to “Climate change and water resources management in the Upper Santa Cruz River, Arizona” [J. Hydrol. 521 (2015) 18–33]. Journal of Hydrology, 527, 1190. doi:10.1016/j.jhydrol.2015.04.067
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  Episodic streamflow events in the Upper Santa Cruz River recharge a shallow alluvial aquifer that is an essential water resource for the surrounding communities. The complex natural variability of the rainfall-driven streamflow events introduces a water resources management challenge for the region. In this study, we assessed the impact of projected climate change on regional water resources management. We analyzed climate change projections of precipitation for the Upper Santa Cruz River from eight dynamically downscaled Global Circulation Models (GCMs). Our analysis indicates an increase (decrease) in the frequency of occurrence of dry (wet) summers. The winter rainfall projections indicate an increased frequency of both dry and wet winter seasons, which implies lower chance for medium-precipitation winters. The climate analysis results were also compared with resampled coarse GCMs and bias adjusted and statistically downscaled CMIP3 and CMIP5 projections readily available for the contiguous U.S. The impact of the projected climatic change was assessed through a water resources management case study. The hydrologic framework utilized includes a rainfall generator of likely scenarios and a series of hydrologic models that estimate the groundwater recharge and the change in groundwater storage. We conclude that climatic change projections increase the uncertainty and further exacerbate the already complicated water resources management task. The ability to attain an annual water supply goal, the accrued annual water deficit and the potential for replenishment of the aquifer depend considerably on the selected management regime.
• Chang, H., Castro, C. L., Carrillo, C. M., & Dominguez, F. (2015). The more extreme nature of US warm season climate in the recent observational record and two "well-performing" dynamically downscaled CMIP3 models. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 120(16), 8244-8263.
• Shamir, E., Megdal, S. B., Carrillo, C., Castro, C. L., Chang, H., Chief, K., Corkhill, F. E., Eden, S., Georgakakos, K. P., Nelson, K. M., & Prietto, J. (2015). Climate change and water resources management in the Upper Santa Cruz River, Arizona (vol 521, pg 18, 2015). JOURNAL OF HYDROLOGY, 527, 1190-1190.
• Shamir, E., Megdal, S. B., Carrillo, C., Castro, C. L., Chang, H., Chief, K., Corkhill, F. E., Eden, S., Georgakakos, K. P., Nelson, K. M., & Prietto, J. (2015). Climate change and water resources management in the Upper Santa Cruz River, Arizona. JOURNAL OF HYDROLOGY, 521, 18-33.
• Carrillo, C. M., Castro, C. L., Chang, H. I., & Luong, T. M. (2014). Evidence low-frequency climate variability mode in the North American Monsoon System as diagnosed by a WRF dynamically downscaled 20 th -century reanalysis. 2014 AGU Fall Meeting.
• Ciancarelli, B., Castro, C. L., Woodhouse, C., Dominguez, F., Chang, H., Carrillo, C., & Griffin, D. (2014). Dominant patterns of US warm season precipitation variability in a fine resolution observational record, with focus on the southwest. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 34(3), 687-707.
• Castro, C. L., Chang, H., Dominguez, F., Carrillo, C., Schemm, J., & Juang, H. H. (2012). Can a Regional Climate Model Improve the Ability to Forecast the North American Monsoon?. JOURNAL OF CLIMATE, 25(23), 8212-8237.
• Mahmood, R., Pielke Sr., R. A., Hubbard, K. G., Niyogi, D., Bonan, G., Lawrence, P., McNider, R., McAlpine, C., Etter, A., Gameda, S., Qian, B., Carleton, A., Beltran-Przekurat, A., Chase, T., Quintanar, A. I., Adegoke, J. O., Vezhapparambu, S., Conner, G., Asefi, S., , Sertel, E., et al. (2010). IMPACTS OF LAND USE/LAND COVER CHANGE ON CLIMATE AND FUTURE RESEARCH PRIORITIES. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 91(1), 37-46.
• Mahmood, R., Pielke, R. A., Hubbard, K. G., Niyogi, D., Lawrence, P., Mcalpine, C., Etter, A., Gameda, S., Qian, B., Beltran-przekurat, A., Quintanar, A. I., Adegoke, J. O., Vezhapparambu, S., Conner, G., Asefi, S., Sertel, E., Legates, D. R., Wu, Y., Hale, R., , Frauenfeld, O. W., et al. (2010). Impacts of land use/land cover change on climate and future research priorities. Bulletin of the American Meteorological Society, 91(1), 37-46. doi:10.1175/2009bams2769.1
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  Several recommendations have been proposed for detecting land use and land cover change (LULCC) on the environment from, observed climatic records and to modeling to improve its understanding and its impacts on climate. Researchers need to detect LULCCs accurately at appropriate scales within a specified time period to better understand their impacts on climate and provide improved estimates of future climate. The US Climate Reference Network (USCRN) can be helpful in monitoring impacts of LULCC on near-surface atmospheric conditions, including temperature. The USCRN measures temperature, precipitation, solar radiation, and ground or skin temperature. It is recommended that the National Climatic Data Center (NCDC) and other climate monitoring agencies develop plans and seek funds to address any monitoring biases that are identified and for which detailed analyses have not been completed.
• Chang, H., Kumar, A., Niyogi, D., Mohanty, U. C., Chen, F., & Dudhia, J. (2009). The role of land surface processes on the mesoscale simulation of the July 26, 2005 heavy rain event over Mumbai, India. GLOBAL AND PLANETARY CHANGE, 67(1-2), 87-103.
• Chang, H., Niyogi, D., Kumar, A., Kishtawal, C. M., Dudhia, J., Chen, F., Mohanty, U. C., & Shepherd, M. (2009). Possible relation between land surface feedback and the post-landfall structure of monsoon depressions. GEOPHYSICAL RESEARCH LETTERS, 36.
• Niyogi, D., Chang, H. I., Chen, F., Gu, L., Kumar, A., Menon, S., & Pielke, Sr, R. (2007). Potential Impacts of Aerosol-Land-Atmosphere Interaction on the Indian Monsoonal Rainfall Characteristics. Natural Hazards- Monsoon Special Issue, 42, 345-359.
• Niyogi, D., Chang, H., Chen, F., Gu, L., Kumar, A., Menon, S., & Pielke Sr., R. A. (2007). Potential impacts of aerosol-land-atmosphere interactions on the Indian monsoonal rainfall characteristics. NATURAL HAZARDS, 42(2), 345-359.
• Niyogi, D., Chang, H. I., Saxena, V. K., Holt, T., Alapaty, K., Booker, F., Chen, F., Davis, K. J., Holben, B., Matsui, T., Meyers, T., Oechel, W. C., Pielke, R. A., Wells, R., Wilson, K., & Xue, Y. K. (2004). Direct observations of the effects of aerosol loading on net ecosystem CO2 exchanges over different landscapes. GEOPHYSICAL RESEARCH LETTERS, 31(20).

Proceedings Publications

• Chang, H. I., Castro, C. L., Luong, T. M., Risanto, C. B., & Hoteit, I. (2022). Analyses of convective event climatology in the Arabian Peninsula and forecast opportunity at S2S time scale  . In AMS.
• Arritt, R. W., Bukovsky, M., Castro, C. L., Chang, H. I., Christensen, O. B., Christensen, J. H., Frigon, A., Gutowski, W. J., Kjellström, E., Laprise, R., McGinnis, S., Mearns, L. O., Nikulin, G., Scinocca, J., Sushama, L., & Winger, K. (2017). NA-CORDEX: Overview and Sample Results. In AGU.
• Chang, H. I., Hondula, D., & Mohebbi, A. (2017). WRF-Chem Model Simulations of Arizona Dust Storms. In AMS.
• Chang, H. I., Castro, C. L., Luong, T. M., Lahmers, T. M., Jares, M., & Carrillo, C. M. (2014). Projecting Future Changes in Extreme Weather During the North American Monsoon in the Southwest with High Resolution, Convective-Permitting Regional Atmospheric Modeling. In AGU.
• Shamir, E., Carrillo, C. M., Castro, C. L., Chang, H., Chang, H. I., Megdal, S. B., Eden, S., & Prietto, J. (2014). Water resources vulnerability to climate change in the Upper Santa Cruz River, Arizona. In AMS.
• Luong, T. M., Nguyen, T., Castro, C. L., Chang, H. I., & Carrillo, C. M. (2013). Improvement in the representation of the North American monsoon convective precipitation in a 20-year climate simulation using a modified Kain-Fritsch convective parameterization scheme. In AGU.
• Castro, C. L., Chang, H. I., & Dominguez, F. (2010). Creating Dynamically Downscaled Seasonal Climate Forecast and Climate Change Projection Information for the North American Monsoon Region Suitable for Decision Making Purposes. In AMS.
• Chang, H. I. (2009). Effect of land -atmosphere interactions on mesoscale convection and precipitation over the Indian monsoon region. In AGU.
• Beltran-Przekurat, A., Chang, H. I., Coughenour, M. B., Matsui, T., Niyogi, D., Pielke, R. A., & Wang, Z. (2006). Continental-Scale Multi-Objective Calibration and Assessment of the Colorado State University Unified Land Model. In AGU.
• Chang, H. I., Niyogi, D., Mohanty, U. C., Routray, A., & Gupte, M. (2006). Numerical experiments on the role of land surface processes on the July 26, 2005 Heavy Rain event in Mumbai, India. In American Geophysical Union Annual Meeting.

Presentations

• Chang, H. I., Rolon, E., Castro, C. L., Shamir, E., Mendoza Fierro, L., Karimi, S. M., & Acke, C. (2024).

  Ensemble-based climate assessment for mining operations in Mexico: a university and private sector partnership 

  . 104th American Meteorological Society Annual Meeting.
• Chang, H. I., Mendoza Fierro, L., Karimi, S. M., Rolon, E., Castro, C. L., & Shamir, E. (2023). Climate assessments for mining operations in Mexico through regional climate model projections. 103th American Meteorological Society Annual Meeting.
• Hoteit, I., Loung, T. M., Risanto, C. B., Chang, H. I., & Castro, C. L. (2021, Spring). Sub-seasonal forecast capability for Arabian Peninsula convective extremes using convective-permitting regional climate modeling. European Geophysical Union General Assembly.
• Castro, C. L., Chang, H. I., Wood, A. F., Newman, A., & Bunn, P. (2021). Improving in Situ Observation-Based Gridded Meteorology Products Using Numerical Weather Prediction Output: A case study of the rain event that caused the Oroville Dam Crisis. 101st American Meteorological Society Meeting.
• Risanto, C. B., Hoteit, I., Oliver, K., Chang, H. I., & Castro, C. L. (2021). Tracking Mesoscale Convective System Sub-seasonal Forecast in the Arabian Peninsula Through Satellite Observation and Numerical Modeling Prodcuts. 101st American Meteorological Society Meeting.
• Castro, C. L., Chang, H. I., Bukovsky, M., & Prein, A. (2020, January). Convective-Permitting Modeling for Retrospective Subseasonal-to-Seasonal (S2S) Forecasting Using the Framework of the Coordinated Regional Ensemble Downscaling Experiment (CORDEX). Eighth Symposium on Weather, Water and Climate Enterprise, 100th Annual American Meteorological Society Meeting.
• Castro, C. L., Risanto, C. B., Chang, H. I., Hoteit, I., & Luong, T. M. (2020, January). Simulating Extreme Precipitation over the Arabian Peninsula Using a Convective-Permitting Subseasonal Reforecast Product. 30th Conference on Weather Analysis and Forecasting/26th Conference on Numerical Weather Prediction, 100th Annual American Meteorological Society Meeting.
• Chang, H. I., Castro, C. L., Hoteit, I., Risanto, C. B., & Luong, T. (2020, December). Saudi Arabia extreme weather ensemble forecast evaluation at sub-seasonal timescale. 2020 American Geophysical Union Fall Meeting. Online.
• Chang, H. I., Castro, C. L., Hoteit, I., Risanto, C. B., & Luong, T. (2020, December). Saudi Arabia extreme weather ensemble forecast evaluation at sub-seasonal timescale. American Geophysical Union Fall Meeting.
• Wood, A. W., Bunn, P., Newman, A., Chang, H. I., Liu, H., Castro, C. L., & Clark, M. (2020, January). Merging HRRR Output into a Real-Time Gauge-Based Ensemble CONUS-Wide Dataset of Gridded Meteorological Fields. 34th Conference on Hydrology, 100th Annual American Meteorological Society Meeting.
• Bukovsky, M., Chang, H. I., Prein, A., & Castro, C. L. (2019, Fall). Convective-permitting modeling for retrospective sub-seasonal to seasonal (S2S) forecasting using the framework of the Coordinated Ensemble Downscaling Experiment. American Geophysical Union Fall 2019 Meeting.
• Chang, H. I., Jares, M., Grossman-Clarke, S., Luong, T. M., & Castro, C. L. (2019, January). The Impact of Urbanization on North American Monsoon Precipitation in Phoenix, Arizona, Within a Context of Modeled Severe Weather Events. 99th American Meteorological Society Annual Meeting.
• Dominguez, F., Pal, S., Chang, H. I., & Castro, C. L. (2019, August). Toward improvement in convective precipitation forecasting in the southwest United States using a convective-permitting regional climate model. 2019 Latsis Symposium on High Resolution Climate Modeling: Perspectives and Challenges. Zurich, Switzerland.
• Moker, Jr., J. M., Mendoza-Fierro, L., Chang, H. I., Risanto, C. B., Robles, A., Perez-Ruiz, E., Vivoni, E., Lizarraga, C., Rodriguez, J., Minjarez-Sosa, C. M., Ochoa-Moya, C., Quintanar, A. I., Arellano, A. F., Adams, D. K., & Castro, C. L. (2019, January). A New Hydrometeorological Testbed in Northern Mexico for Improved Weather Forecasts and Climate Monitoring. 99th Annual American Meteorological Society Meeting.
• Risanto, C. B., Loung, T., Castro, C. L., & Chang, H. I. (2019, Fall). Extreme weather impacts assessments in arid and semi-arid regions through sub-seasonal regional climate forecasting. American Geophysical Union Fall Meeting 2019.
• Chang, H. I., Oliver, K., Castro, C. L., & Hoteit, I. (2021, January). Tracking mesoscale convective system sub-seasonal forecast in the Arabian Peninsula through satellite observation and numerical modeling products. 30th Conference on Weather Analysis and Forecasting/26th Conference on Numerical Weather Prediction, 100th Annual American Meteorological Society Meeting. Online.
• Angel, M. C., Mejia, J., Chang, H. I., Ochoa, C. A., & Castro, C. L. (2017, Dec). Annual and Diurnal Precipitation Distributions as Simulated by WRF-based CORDEX-Central America. American Geophysical Union Annual Meeting.
• Chang, H. I., Castro, C. L., Mearns, L., & Bukovsky, M. (2015, December). Trend of climate extremes in North America: A comparison between dynamically downscaled CMIP3 and CMIP5 simulations. American Geophysical Union Annual Meeting. San Francisco, CA: American Geophysical Union.
• Chang, H. I., Castro, C. L., Mearns, L., & Bukovsky, M. (2015, October). North American climate extremes and the relationship with natural variability in dynamically downscaled CMIP3 and CMIP5 projections. Int. WS: Issues in downscaling of climate change projection. Tsukuba, Japan: Japan Meteorological Research Institute.
• Shamir, E., Carrillo, C., Castro, C. L., Chang, H. I., Megdal, S. B., Eden, S., & Prietto, J. (2015, June). Water resources vulnerability to climate change in the Upper Santa Cruz River, Arizona. Proceedings of the 7th International Congress on Environmental Modelling and Software. San Diego, CA: International Congress on Environmental Modelling and Software.
• Chang, H. I., Castro, C. L., & Niu, G. (2013, December). Impact of dynamic vegetation on evolution of the North American Monsoon region in a regional climate model.. 46th American Geophysical Union Fall Meeting. San Francisco, CA: American Geophysical Union.
• Chang, H. I., Castro, C. L., Dominguez, F., & Monson, R. K. (2012, December). The synergistic relationship of climate change and natural variability in consideration of dynamically downscaled warm season climate projections in North America. 45th American Geophysical Union Fall Meeting. San Francisco, CA: American Geophysical Union.
• Chang, H. I., Castro, C. L., Carillo, C., & Dominguez, F. (2011, December). Future regional climate assessment for the Southwest U.S. Summer monsoon region using dynamically downscaled IPCC scenarios. 44th American Geophysical Union Fall Meeting. San Francisco, CA: American Geophysical Union.
• Chang, H. I., Niyogi, D., & Mohanty, U. (2011, August). Sensitivity of Convective Parameterization to the Simulation of Pre-monsoon Thunderstorms over Northeast India. 8th Asia Oceania Geosciences Society Annual Meeting and Geosciences World Community Exhibition. Taipei, Taiwan: Oceania Geosciences Society.
• Chang, H. I., Castro, C. L., Dominguez, F., & Ciancarelli, B. (2010, December). Potential Improvement in Warm Season North American Monsoon Forecast Using Dynamically Downscaled GCM Data. 43rd American Geophysical Union Fall Meeting, San Francisco. San Francisco: American Geophysical Union.
• Chang, H. I., Niyogi, D., Chen, F., Kumar, A., Song, C., Zhao, L., Govindaraju, R., Merwade, V., Lei, M., & Scheeringa, K. (2008, June). Developing a TeraGrid Based Land Surface Hydrology and Weather Modeling Interface. Proceedings of the TeraGrid Conference. Las Vegas, NV: TeraGrid.
• Chang, H. I., Kumar, A., Niyogi, D., Mohanty, U., Chen, F., & Dudhia, J. (2007, January). Impact of physical parameterization and land use land cover change on the simulation of the July 26, 2005 heavy rain event over Mumbai, India. 85th American Meteorological Society Annual meeting. San Antonio, TX: American Meteorological Society.
• Niyogi, D., Chang, H. I., Gu, L., Menon, S., & Pielie, Sr, R. (2006, January). Potential impacts of aerosol-land-atmosphere interaction on the Indian Monsoon. 86th American Meteorological Society Annual Meeting. Atlanta, GA: American Meteorological Society.

Poster Presentations

• Mendoza Fierro, L., Chang, H. I., Shamir, E., Castro, C. L., Karimi, S. M., & Acke, C. (2023). Climate Change Projections Analysis of Meteorological Parameters for Mining Operationsin Mexico. American Geophysical Union Annual Meeting.
• Hoteit, I., Castro, C. L., Chang, H. I., Dasari, H. P., Risanto, C. B., & Luong, T. (2021). Added Value of Cloud-Resolving Modelling for the Simulation of Arabian Peninsula Winter Rainfall. American Geophysical Union Fall 2021 Meeting.
• Hoteit, I., Castro, C. L., Risanto, C. B., Attada, R., Chang, H. I., Dasari, H. P., & Luong, T. M. (2021). Sub-seasonal rainfall climatology and predictability of the West coast of the Red Sea. American Geophysical Union Fall 2021 Meeting.
• Luong, T. M., Hoteit, I., Cui, W., Dong, X., Chang, H. I., Castro, C. L., & Oliver, K. (2020, January). Tracking Extreme Precipitation Events Using Satellite Infrared to Improve MCS Predictability. 19th Annual Student Conference, 100th Annual American Meteorological Society Meeting.
• Attada, R., Loung, T., Risanto, C. B., Hoteit, I., Castro, C. L., & Chang, H. I. (2019, August). Extreme weather impact assessment in Saudi Arabia and operational sub-seasonal forecasting. 2019 Latsis Symposium on High Resolution Climate Modeling: Perspectives and Challenges. Zurich, Switzerland.
• Castro, C. L., Lahmers, T., Chang, H. I., Georgakakos, K. P., Halper, E., & Shamir, E. (2019, January). Impact of Climate Model "Downscaling" on Projected Water Resources in Arid Basins, Two Case Studies From Arizona. 99th Annual American Meteorological Society Meeting.
• Halper, E., Bearup, L., Chang, H. I., Bunn, P., & Castro, C. L. (2019, January). Assessment of North American Monsoon Variability in the Lower Santa Cruz Basin Using Dynamically Downscaled CMIP5 Projections. 99th American Meteorological Society Annual Meeting.
• Castro, C. L., & Chang, H. I. (2017, Dec). North American monsoon hydroclimat eextremes in the Southwest U.S. influenced by dynamically downscaled CMIP5 ensembles. American Geophysical Union Annual Meeting.
• Chang, H. I., Castro, C. L., Luong, T. M., Lahmers, T., Jares, M., Carrillo, C. M., Adams, D. K., & Mazon, J. (2017, Dec). The more extreme nature of North American monsoon precipitation in the Southwestern United States. Americal Geophysical Union Annual Meeting.
• Chang, H. I., Castro, C. L., Megdal, S. B., & Tapia, E. (2017, January). Toward Improved Seasonal Forecasting of Water Resources and North American monsoon Precipitation in the Southwestern United States. 97th American Meteorological Society Annual Meeting. Seattle, WA: American Meteorological Society.
• Chang, H. I., Lorenzo, A. T., Castro, C. L., Betterton, E. A., Leuthold, M. S., Holmgren, W. F., & Cao, Y. (2017, January). An Evaluation of Nine ARW-WRF Microphysics Schemes for Solar Power Forecast in Arizona. 97th Annual Meeting of the American Meteorological Society. Seattle.
• Mazon, J., Castro, C. L., Jares, M., Chang, H. I., Lahmers, T., Luong, T., Carillo, C., Carillo, C., Luong, T., Lahmers, T., Jares, M., Chang, H. I., Mazon, J., & Castro, C. L. (2017, January). Evaluating Changes in Extreme Weather During the North American Monsoon in the Southwest U.S. Using High Resolution, Convective-Permitting Regional Atmospheric Modeling. 97th American Meteorological Society Annual Meeting. Seattle, WA: American Meteorological Society.
• Castro, C. L., Chang, H. I., Luong, T., Lahmers, T., Jares, M., Mezon, J., Carrillo, C., & Adams, D. (2016, August). Evaluating Changes in Extreme Weather During the North American Monsoon in the Southwest U.S. Using High Resolution, Convective-Permitting Regional Atmospheric Modeling. GEWEX Convection-Permitting Climate Modeling Workshop. Boulder, CO: National Center for Atmospheric Research.
• Chang, H. I., Castro, C. L., Luong, T., Lahmers, T., Jares, M., Mezon, J., Carrillo, C., & Adams, D. (2016, December). Evaluating Changes in Extreme Weather During the North American Monsoon in the Southwest U.S. Using High Resolution, Convective-Permitting Regional Atmospheric Modeling. S2S Extremes Workshop 2016. Palisades, NY: International Research Institute for Climate and Society.
• Chang, H. I., Troch, P. A., Castro, C. L., & Mukherjee, R. (2014, June). Regional climate and streamflow projections in North America under IPCC CMIP5 scenarios. 3rd Lund Regional-scale Climate Modeling Workshop. Lund, Sweden: Lund University.
• Chang, H. I., Carrillo, C., Demaria, E., Dominguez, F., Castro, C. L., & Durcik, M. (2011, May). Dynamical downscaling of global climate model products for water resource projection in the Southwest U.S. Sustainability on the Border: Water, Climate and Social Change in a Fragile Landscape. El Paso, TX: University of Texas, El Paso.
• Chang, H. I., Castro, C. L., & Ciancarelli, B. (2010, December). Statistical Analysis and Verification of Dynamically Downscaled Seasonal Forecast for the Summer North American Monsoon Region. 43rd American Geophysical Union Fall Meeting. San Francisco, CA: American Geophysical Union.

Creative Productions

• Chang, H. I., Castro, C. L., & Cassell, B. (2017. Coordinated Regional Climate Downscaling Experiment - North America (WRF climate outputs)National Center for Atmospheric Research. https://www.earthsystemgrid.org/search/cordexsearch.html
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  Part of NA CORDEX data archive: Dynamically downscaled CMIP5 regional climate data using WRF regional climate model. Two sets of CMIP5 products are downscaled (MPI ECHAM6 and HadGEM2) at 25 and 50km resolution for 1950-2100. ERA-Interim Reanalysis is also downscaled at 25 and 50 km resolution for 1979-2016, it is used as CMIP5 downscaled product validation baseline.