H43A:
Advances in Integrated Observations, Modeling, and Predictions for Weather, Climate, and Impact Assessments II Posters

Submit an Abstract to this Session



Session ID#: 25204

Session Description:
Improved observational, modeling and prediction systems are essential for assessing vulnerability leading to water security issues. In that regard, atmospheric and terrestrial processes and their long-term interactions need to be understood to better support policies on water management. Additionally, the development of new technologies and strategies to improve the collection and distribution of observations is central for adaptation and mitigation of the impacts from severe weather events to climate extremes. 

Contributions are invited that demonstrate the use of observations and models in addressing extreme hydrometeorological events. Experts in developing observational and information systems are invited to discuss ways to increase their effectiveness. In particular, presentations on advances being made in integrating observations from various sources, such as citizen weather observer programs, are welcome. Educators and students involved in outreach and extension programs on Earth observing systems for weather, climate and hydrological studies are also invited to contribute to this session.

Primary Convener:  Ana Nunes, UFRJ Federal University of Rio de Janeiro, Rio De Janeiro, Brazil
Convener:  Richard G Lawford, Morgan State University, Baltimore, MD, United States
Chairs:  Ana Nunes, UFRJ Federal University of Rio de Janeiro, Department of Meteorology, Rio de Janeiro, Brazil and Richard G Lawford, Morgan State University, Baltimore, MD, United States
OSPA Liaison:  Ana Nunes, UFRJ Federal University of Rio de Janeiro, Department of Meteorology, Rio de Janeiro, Brazil
Co-Organized with:
Hydrology, and Natural Hazards

Cross-Listed:
  • A - Atmospheric Sciences
  • ED - Education
  • NH - Natural Hazards
Index Terms:

1843 Land/atmosphere interactions [HYDROLOGY]
1880 Water management [HYDROLOGY]
3315 Data assimilation [ATMOSPHERIC PROCESSES]
4313 Extreme events [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Development of Forest Drought Index and Forest Water Use Prediction in Gyeonggi Province, Korea Using High-Resolution Weather Research and Forecast Data and Localized JULES Land Surface Model (223785)
HoonTaek Lee1, Juhan Park2,3, Sungsik Cho4, Seung-Jae Lee2 and Hyun Seok Kim3,5, (1)Department of Forest Sciences, Seoul National University, Seoul, South Korea, (2)National Center for AgroMeteorology, Seoul National University, Seoul, South Korea, (3)Seoul National University, Department of Forest Sciences, Seoul, South Korea, (4)Interdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University, Seoul, South Korea, (5)National Center for AgroMeteorology, Seoul, South Korea
Annual and seasonal distribution of day and night Land Surface Temperature trend over Greece. (228410)
Alexandra Gemitzi1, Dimitrios Eleftheriou2, Argiro Kalea2, Georgios Kalmintzis2, Kyriakos Kiachidis2, Paraskevi Koumadoraki2, Christos Mpantasis2, Maria Eleni Spathara2, Angeliki Tsolaki2, Maria Irini Tzampazidou2 and Venkataraman Lakshmi3, (1)Democritus University of Thrace, Environmental Engineering, Xanthi, Greece, (2)Demokritus University of Thrace, Environmental Engineering, Xanthi, Greece, (3)University of Virginia, Civil and Environmental Engineering, Charlottesville, United States
Prediction of hydrological responds to climate changes in the Upper Yangtze River Basin, China (235797)
Xiaoli Yang, Liliang Ren, Yuqian Wang, Mengru Zhang, YI LIU, Shanhu Jiang and Fei Yuan, Hohai University, Nanjing, China
Typhoon Changes in Northwestern Pacific Region and Its Relationship to Hydrologic Variability (259235)
Jong-Suk Kim, Wuhan University, Wuhan, China and Joo-Heon Lee, Joongbu University, Civil Engineering, Goyang-si, South Korea
Estimation and Correction of bias of long-term simulated climate data from Global Circulation Models (GCMs) (264482)
Sushant Mehan, South Dakota State University, Agricultural and Biosystems Engineering, Brookings, SD, United States and Margaret W Gitau, Purdue University, Agricultural & Biological Engineering, West Lafayette, IN, United States
Assessing Changes in Precipitation and Impacts on Groundwater in Southeastern Brazil using Regional Hydroclimate Reconstruction (284225)
Monica Fernandes1, Gerson Cardoso Silva Jr.1 and Ana Nunes2, (1)UFRJ Federal University of Rio de Janeiro, Department of Geology, Rio De Janeiro, Brazil, (2)UFRJ Federal University of Rio de Janeiro, Department of Meteorology, Rio de Janeiro, Brazil
The Impact of Infiltration Losses and Model Resolution on the Simulated Hydrometeorological Response of a Semi-Arid Catchment (285320)
Max F Mitchell, University of Arizona, Tucson, AZ, United States, David C Goodrich, USDA-ARS Southwest Watershed Research Center, Tucson, United States, David J Gochis, National Center for Atmospheric Research, Boulder, CO, United States and Timothy M Lahmers, NASA Goddard Space Flight Center, Greenbelt, United States
Predicting Geomorphic and Hydrologic Risks after Wildfire Using Harmonic and Stochastic Analyses (286221)
Jack Mikesell, San Diego State University, Civil, Construction, and Environmental Engineering, San Diego, CA, United States, Alicia M Kinoshita, San Diego State University, Civil, Construction, and Environmental Engineering, San Diego, United States, Joan L Florsheim, University of California Santa Barbara, Santa Barbara, CA, United States, Anne Chin, University of Colorado Denver, Geography and Envinronmental Sciences, Denver, CO, United States and Samira Nourbakhshbeidokhti, San Diego State University, Department of Civil, Construction, and Environmental Engineering, San Diego, CA, United States
Examining South Atlantic Subtropical Cyclone Anita using the Satellite-Enhanced Regional Downscaling for Applied Studies Hourly Outputs (291797)
Henrique Vaicberg1, Ana Cristina P.A. Palmeira1 and Ana Nunes2, (1)UFRJ Federal University of Rio de Janeiro, Department of Meteorology, Rio De Janeiro, Brazil, (2)UFRJ Federal University of Rio de Janeiro, Department of Meteorology, Rio de Janeiro, Brazil

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