H34A:
Advances in Integrated Observations, Modeling, and Predictions for Weather, Climate, and Impact Assessments I


Submit an Abstract to this Session


Session ID#: 61923

Session Description:
Improved observational, modeling, and prediction systems are essential for assessing resilience and vulnerability characteristics of hydrometeorological events, and they also contribute to resolution of water security issues. The development of new technologies and strategies to improve the collection and distribution of observations is therefore central for adaptation and mitigation of the impacts from severe weather events and climate extremes, as well as for better support of water management policies.

Contributions that demonstrate the use of observations and models in addressing extreme hydrometeorological events are invited. Developments of observational and information systems that discuss ways to increase their effectiveness are also solicited. Presentations on advances in integration of observations from various sources are of high interest. Educators and students involved in 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, Department of Meteorology, Rio de Janeiro, Brazil
Conveners:  Valeriy Yu Ivanov, University of Michigan, Civil and Environmental Engineering, Ann Arbor, United States and Richard G Lawford, Morgan State University, Baltimore, MD, United States
Primary Liaison:  Ana Nunes, UFRJ Federal University of Rio de Janeiro, Department of Meteorology, Rio de Janeiro, Brazil
Chairs:  Ana Nunes, UFRJ Federal University of Rio de Janeiro, Department of Meteorology, Rio de Janeiro, Brazil, Valeriy Yu Ivanov, University of Michigan, Civil and Environmental Engineering, Ann Arbor, United States 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

Proposed Co-Organized Session with:
  • A - Atmospheric Sciences
  • NH - Natural Hazards
Index Terms:

1813 Eco-hydrology [HYDROLOGY]
1843 Land/atmosphere interactions [HYDROLOGY]
3315 Data assimilation [ATMOSPHERIC PROCESSES]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Development of Gridded Innovations and Observations supplement to MERRA-2 (Invited) (350048)
Michael G Bosilovich, Earth Sciences Division, Greenbelt, United States and Arlindo da SIlva, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Application of an ensemble-based modeling approach for assimilating observations to improve hydrologic and streamflow predictions (456462)
Andrew W Wood1, Elizabeth Clark2, Manabendra Saharia3, Bart Nijssen2 and Martyn P Clark4, (1)National Center for Atmospheric Research, CGD Laboratory, Boulder, United States, (2)University of Washington Seattle Campus, Civil and Environmental Engineering, Seattle, WA, United States, (3)National Center for Atmospheric Research, Research and Applications Laboratory, Boulder, CO, United States, (4)University of Calgary, Department of Civil Engineering, Schulich School of Engineering, Calgary, AB, Canada
A Comparative Analysis of Estimated Soil Moisture from SAR Imagery and Land Surface Modeling (392576)
Mohammed Dabboor, Environment and Climate Change Canada, Dorval, Canada, Leqiang Sun, Enviroment and Climate Change Canada, Dorval, Canada, Marco L Carrera, Environment and Climate Change Canada, Dorval, QC, Canada, Matthew Friesen, Agriculture and Agri-Food Canada, Winnipeg, MB, Canada, Amine Merzouki, Agriculture and Agri-Food Canada, Ottawa, ON, Canada; Agriculture & Agri Food Canada, Ottawa, ON, Canada, Heather McNairn, Agriculture and Agri-Food Canada, Science and Technology Branch, Ottawa, ON, Canada, Jarrett Powers, Agriculture and Agri-Food Canada - Winnipeg, Winnipeg, MB, Canada and Stéphane Bélair, Environment and Climate Change Canada, Atmospheric Numerical Prediction Research Section, Dorval, QC, Canada
Evaluation of Hydrologic Trends Across the Continental United States Using the National Climate Assessment Land Data Assimilation System (NCA-LDAS) (441365)
Michael F Jasinski1, Sujay V Kumar2, Jordan Borak3, David M Mocko4, Matthew Rodell5, Christa D Peters-Lidard6, Hualan Rui7, Hiroko K Kato-Beaudoing8, Bruce Vollmer9, Kristi R Arsenault10, Bailing Li3 and John D Bolten11, (1)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (2)NASA GSFC, Greenbelt, MD, United States, (3)Earth System Science Interdisciplinary Center, University of Maryland, College Park, United States, (4)NASA GSFC/SAIC, Greenbelt, United States, (5)NASA GSFC HSL, Greenbelt, United States, (6)NASA GSFC, Greenbelt, United States, (7)NASA GSFC/ADNET, Greenbelt, MD, United States, (8)SAIC, Greenbelt, MD, United States, (9)NASA GSFC, GES DISC, Greenbelt, MD, United States, (10)SAIC, Greenbelt, United States, (11)Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt MD, United States
Propagating Novel Turbulent Heat Flux Measurements Into Extreme Lake Weather Event and Water Supply Forecasting Systems (406461)
Eric J Anderson1, Ayumi Fujisaki-Manome2,3, Andrew Gronewold4, Lindsay Fitzpatrick5, Brent M Lofgren4, Ron Muzzi6, Kyle Beadle7, Peter Blanken8, Chris W Fairall9, Ludovic Bariteau10, Chris Spence11, John D. Lenters12, Greg Mann13 and Philip Chu14, (1)NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (2)Cooperative Institute for Great Lakes Research, Ann Arbor, MI, United States, (3)University of Michigan Ann Arbor, Ann Arbor, MI, United States, (4)NOAA-Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (5)Cooperative Institute for Great Lakes Research, Ann Arbor, United States, (6)NOAA Ann Arbor, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (7)NOAA GLERL, Ann Arbor, United States, (8)University of Colorado Boulder, Geography, Boulder, United States, (9)NOAA Physical Sciences Laboratory, Boulder, United States, (10)NOAA Boulder, Boulder, CO, United States, (11)Environment and Climate Change Canada, Saskatoon, SK, Canada, (12)University of Wisconsin-Madison, Boulder Junction, WI, United States, (13)NOAA/NWS, WFO-Detroit, Detroit, MI, United States, (14)NOAA, United States
Hydro-climatological and Socio-economic Predictors for Water Demand Forecasting Using Machine Learning and Artificial Intelligence (450174)
Kazi Ali Tamaddun1, JeeWoong Park1, Ajay Kalra2 and Sajjad Ahmad3, (1)University of Nevada, Las Vegas, Civil and Environmental Engineering and Construction, Las Vegas, NV, United States, (2)DRI Desert Research Institute, Las Vegas, NV, United States, (3)University of Nevada Las Vegas, Department of Civil and Environmental Engineering and Construction, Las Vegas, United States
Applications of CYGNSS Remote Sensing Data Products for Hydrometeorology (392351)
April Marie Warnock, SRI International Ann Arbor, Ocean Modeling Laboratory, Ann Arbor, MI, United States and Christopher S Ruf, University of Michigan Ann Arbor, Climate and Space, Ann Arbor, MI, United States

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