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Dates: 23–27 January 2022
Location: Houston, Texas
Abstract Submission Deadline: 1 September 2021 (for most conferences)
This special edition of the e-news features sessions from the 102nd American Meteorological Society (AMS) Annual Meeting that touch on GEWEX research themes. Below you’ll find a list of sessions convened by members of the GEWEX community, followed by sessions that are of interest to the GEWEX community. An event of note is the Kevin E. Trenberth Symposium, and we hope you consider participating. Sessions are listed alphabetically. The list is available in greater detail at https://www.gewex.org/resources/calls-for-papers/#AMS.
- Actionable Hydrology Enabled by AI and Process-Based Modeling
Conveners: Grey Nearing (University of Alabama and University of Maryland Baltimore County)
The goal of this session is to help model and method developers and users understand the state-of-the-art in terms of outcome-oriented (rather than science-oriented) hydrological simulation, analysis and prediction. Papers describing current challenges for this community are also welcome, with a special interest in highlighting needs and opportunities for cross-disciplinary collaboration between industry, academia, and government.
- Advancements in Analysis and Prediction of Drought
Conveners: Mike Hobbins (NOAA); Kim Novick (Indiana University); Jason A. Otkin (University of Wisconsin); Joshua K. Roundy (University of Kansas)Specific topics addressed by presenters could include but are not limited to: current drought prediction science and skill at various lead times; advances in our understanding of the causes and characteristics of drought, through climatological analyses, impacts of land-atmosphere interactions, and numerical simulations; innovative management uses of
that science; and case studies illustrating advances in understanding, monitoring and prediction of drought and drought impacts.
- Advances in Evaporation and Evaporative Demand Estimation and Application
Conveners: Martha C. Anderson (USDA); Kyle Knipper (USDA); Christopher Hain (NASA); Yun Yang (USDA); Daniel McEvoy (Desert Research Institute)
This session invites submissions relating to how evapotranspiration (ET) and atmospheric demand (Eo) can be used to monitor, predict, and/or mitigate disruptions in ecosystems, agriculture (food production), drought, or other water related issues that affect human welfare and national security.
- Data Driven Approaches for Quantifying Predictability and Uncertainty of Ecohydrological Processes in Earth System Models
Convener: Forrest Hoffman (Climatemodeling.org)
Encouraged are contributions that focus on model benchmarking metrics, uncertainty quantification methods, and hierarchical modeling approaches employing novel model-data fusion and machine learning applications to improve the mechanistic understanding of physical and ecohydrological responses and feedbacks to the Earth system, particularly under climate change.
- Extreme Precipitation
Convener: Kelly Mahoney (NOAA)
This session invites papers on all aspects of extreme precipitation, including snowfall, relationship to floods, and hydrologic impacts. Papers exploring the causes and consequences of individual extreme precipitation events that cause floods or terminate droughts, details of the relationship between extreme precipitation and flooding, extreme snowfall accumulation and melt, as well as the drivers and environmental security impacts of changing extreme precipitation and flood risk are
particularly encouraged.
- Flood Prediction, Analysis, and Management
Convener: Thomas Adams (NOAA)
This session invites contributions from all sectors of the AMS and broader hydrologic community whose work focuses on: (1) the development of flood-prediction tools (models, assimilation of observations, and methodologies to create and improve hydrologic representation of flood processes), (2) the analysis of floods and (3) lessons learned from managing floods from scientific and societal perspectives.
- How Can Soil Moisture Make a Difference? Using Soil Moisture Data for Improved Applications or Decision Making
Convener: Marina Skumanich (UCAR)
This session is focused on research that demonstrates the value of soil moisture data for improved conditions monitoring or decision making across the full range of application areas, including flood or drought forecasting, agricultural or ecological monitoring, fire danger assessment, water resource management, and so forth. Specific case studies, on-the-ground stories, and other specific demonstrations will be emphasized.
- Improved Monitoring, Modeling, and Prediction of Water Availability Across Scales
Convener: Timothy Schneider (UCAR)
Submissions are invited that explore interdisciplinary and integrated approaches to water cycle science that lead to a better understanding of water availability now and in the changing future. Of particular relevance are papers that explore ways to evaluate, improve and integrate existing surface observational networks across continental to global scales, in the context of terrestrial-based and spaceborne remote sensing, and in support of Earth system modeling of the water-cycle, in order to
better support national and global operational weather and hydroclimate monitoring and modeling efforts.
- Land-Atmosphere and Land-Ocean Interactions
Conveners: Yongkang Xue (UCLA); Randy Koster (NASA GSFC); Michael Ek (UCAR); Craig R. Ferguson (State University of New York); Justin S. Mankin (Dartmouth College)
This session focuses on (1) interfaces between climate, ecosystems, and the land branches of the energy, water, and carbon cycles and the impact of associated land processes on climate variability and change, including extreme events (such as droughts and flooding); (2) the dynamic, physical, and biogeochemical mechanisms by which the land surface (e.g., soil moisture and temperature, albedo, snow, vegetation, and streamflow) influence land, atmosphere, and ocean processes and their
interactions at subseasonal to decadal time scales; and more.
- Land Data Assimilation Systems and Their Applications
Convener: Jifu Yin (NOAA)
This session will highlight the advances in the development of land data assimilation systems (LDASs) and their applications. Contributions are particularly encouraged in (1) Developing the regional and global LDASs; (2) Advancing LSMs for LDASs; (3) Refining or evaluating land data assimilation techniques in LDASs; (4) Use of LDASs for applications including numerical weather prediction, water resources, food security, agriculture management, among others.
- Linking Snow Hydrology and Society through Remote Sensing, Modeling, and Data Assimilation
Convener: Melissa Wrzesien (NASA)
This session invites research on existing and novel methods for remote sensing, modeling, and data assimilation of snow hydrology, particularly efforts that identify and overcome gaps in the current knowledge of snow observation and modeling.
- NOAA’s National Water Model: Improving Hydrologic Consistency, Operational Forecast Utility, and Enhancing Impact-Based Decision Support Services
Convener: Darone Jones (NOAA)
This session seeks submissions on topics aimed at improving hydrologic consistency, operational forecast utility, and enhancing Impact-Based Decision Support Services (IDSS). Topics of interest include improved process representation across differing landscape and anthropogenic conditions; coupled inland and coastal processes and forecasting total water level.
- Physical and Social Processes Responsible for Water and Food Security Risks
Convener: Rob Cifelli (NOAA)
This session invites presentations exploring the physical and/or social processes leading to increases in water and food security risks in the past, present, and future, including land surface changes, impacts of extreme events, diversions and their impact on transboundary agreements, as well as presentations focused on approaches to enhance food and water security.
- Remote Sensing of Precipitation at Regional, Continental, and Global Scales: Estimation, Evaluation, and Applications
Convener: Janice Bytheway (NOAA)
This session invites high quality, original research contributions from radar and satellite meteorology and associated data sciences, including improved quantitative precipitation estimates (QPE) retrievals from satellite and radar remote observations and novel methods to produce multi-sensor QPEs by merging multiple satellite/radar products and/or in-situ observations.
- Urban Hydrology: Modeling and Instrumentation
Convener: Mukul Tewari (IBM)
In this session, we invite papers focused on, but not limited to, advances in urban modeling, precipitation estimation, and instrumentation, as well as studies involving impacts of climate change on urban hydrology.
- Water cycle in a warmer world through process understanding and climate and hydrological modeling
Convener: Annalisa Cherchi (CNR-ISAC)
Co-Conveners: Paola A. Arias (University de Antioquia), Mathew Barlow (University of Massachusetts Lowell), Andrea Jenney (University of California)
This session aims to bring together studies on different aspects of the water cycle, including extremes. Specific interests relate to water cycle changes in a warmer climate. Contributions that elevate physical process understanding of observations and both climate and hydrological models are desired.
Kevin E. Trenberth Symposium
Other Sessions of Interest
- A Joint Effort to Improve Sub Seasonal-to-Seasonal [S2S] Prediction
- A Review of the MJO: Progress, Challenges, and Paths Forward
- AI for Statistical Parameterization of Unresolved Processes in Earth System Models
- AMS Women’s Workshop: Working towards closing the gender equality gap
- Advancements in Analysis and Prediction of Drought
- Advances in Cumulus Convection Measurements, Parameterization, and Modeling
- Advances in Evaporation and Evaporative Demand Estimation and Application
- Advances in Subseasonal Forecasts for Weather, Water, and Climate
- Advances in Understanding Tropical Mesoscale Convective Systems and Precipitation Processes using Observations, Models and Artificial Intelligence
- Aerosol-climate interactions from regional to global scale
- Aerosol-Cloud Interactions in Deep Convective Clouds
- Aerosol-cloud interactions in mixed-phase clouds
- Aerosol-radiation interactions
- African Climate Variability and Change
- All Aspects of Observations, Including New Observations, Physical Parameterizations, Measurement Uncertainties, Challenges of Working with Imperfect Measurements, and Data Visualization
- Artificial Intelligence for Seasonal to Subseasonal (S2S) Prediction
- Boundary Layer Meteorology
- Clouds, Radiation, and Climate Sensitivity
- Convection-permitting simulations and/or regional climate simulations of mesoscale extremes
- Data Assimilation: Research and Operational Applications on All Spatial and Temporal Scales
- El Niño–Southern Oscillation (ENSO) Dynamics, Predictions, and Impacts
- FAIR and Open Data and Software within the Atmospheric and Ocean Sciences to Support Replicable Research and Reusable Tools for Climate Analysis
- Global monsoons
- Heat Waves: Mechanisms, Predictability and Prediction
- Improve diversity, equity and inclusion across the Applied Climatology Community
- Influence of Decadal Trends on Sub-Seasonal to Seasonal Climate Predictions
- Ken Mooney’s Legacy
- Land Use and Land Cover Change—Interactions with Weather and Climate
- Mesoscale and climate processes
- Mesoscale processes associated with heavy rainfall
- ML-based Pattern Recognition, Detection and Prediction of Extreme Climate Events Induced by Teleconnections
- Model development and application Monsoon Dynamics: Variability, Change and
Impacts
- Numerical Modeling of the MJO and Subseasonal Convection
- Observationally-constrained digital twins for the Earth system: Methods and applications
- Precipitation Processes and Observations for Atmospheric, Land Surface, and Hydrological Modeling
- Prediction of and data assimilation in mesoscale processes and mesoscale extremes
- Process-based Testing and Evaluation of Weather and Climate Models
- Radar measurements of cloud and precipitation life cycle
- Subseasonal to Seasonal Forecasting of Surface Water Anomalies
- Subseasonal to Seasonal Prediction: Uses and Applications
- Subseasonal-to-Seasonal (S2S) Predictability and Forecasting: The MJO and Intraseasonal Convective Variability
- Surface-Atmosphere Exchange Processes: Linking Earth and Sky
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