ARL Researchers Head to AMS Meeting.
January 7, 2021
The American Meteorological Society (AMS) will host its 101st annual conference virtually from January 10-15, 2021. A number of ARL researchers contributed papers on topics ranging from climate observations to boundary layer and atmospheric chemistry and dispersion. A few key ARL led or coauthored papers include:
Locust Forecasting with the NOAA HYSPLIT Model, Mark Cohen
This HYSPLIT-based locust forecasting application is a new component of the multi-faceted, ongoing portfolio of NOAA ecological forecasting activities, including weather, climate, tides, fishery stocks, and recovery of protected species.
Development of Global Aerosol Forecast Model (GEFS-Aerosols) into NOAA’s Unified Forecast System (UFS)
NOAA’s National Weather Service (NWS) deployed the Unified Forecast System in September 2020, a community-based coupled, comprehensive Earth modeling system. A chemical component developed in collaboration among NOAA’s Global Systems Laboratory, Chemical Science Laboratory, and the Air Resource Laboratory (GSL, CSL, ARL) was coupled online with the FV3 Global Forecast System (FV3GFS) using the National Unified Operational Prediction Capability (NUOPC)-based NOAA Environmental Modeling System (NEMS) software.
Measurements of Greenhouse Gases and other Pollutants from Aircraft: Trends and the Impact of the Corona Lockdown, Xinrong Ren
NOAA and partners from the University of Maryland, with support from NIST, MDE, and NOAA, have been making surface and airborne measurements of trace gases and aerosol optical properties over the Mid-Atlantic States.
Other contributions include:
Volcanic Emissions Forecasting Techniques Using HYSPLIT and VOLCAT Observations, Allison M. Ring as part of the Joint 8B 23rd Conference on Atmospheric Chemistry – Data-driven Prediction of Air Quality Events due to Wildfires, Dust Storms and Volcanic Eruptions I, Cochaired by Daniel Tong of NOAA ARL and GMU.
The authors combine HYSPLIT and satellite data retrievals of volcanic ash to HYSPLIT forecasts to develop quantitative products that communicate forecast uncertainty. Available observations are used to initialize HYSPLIT and quickly generate forecasts in a computationally efficient manner.
Using the US Climate Reference Network to Develop Gridded Soil Moisture Products over the Conterminous US, Michael Buban. 35th Conference on Hydrology – Extreme Precipitation. Part II; Understanding the Soil Moisture Spectrum: From Data Collection to Actionable Applications. Part I, co chaired by Bruce Baker of ARL.
The project leverages the US Climate Reference Network (USCRN) and networks such as the Soil Climate Analysis Network (SCAN) and state mesonets to predict soil moisture content based on relationships among precipitation, evaporation, soil/vegetation properties and measured in-situ soil moisture values.
Observations and Analysis of Turbulence Statistics in Washington, D.C. using the DCNet Research Network, Nebila Lichiheb.
This analysis of the two DCNet stations is an important step to optimize the use of DCNet research network in order to improve the formulations of key variables controlling dispersion model calculations in urban areas, such as Washington, D.C.
Evaluation of a HYSPLIT transport and dispersion model ensemble, Alice Crawford
The authors create a dispersion model ensemble by driving the HYSPLIT transport and dispersion model with numerical weather prediction, NWP, ensemble products produced by the NWS National Centers for Environmental Prediction, NCEP. The dispersion ensemble consists of simulations of SO2 stack emissions from a coal-fired power plant.
The Application of New Bulk Richardson Parameterizations for Surface-Atmosphere Exchange over Different Land Surface Types, Temple Lee.
Recent work has shown that bulk Richardson (Rib) parameterizations better represent heat, moisture, and momentum exchanges between the land-surface and atmosphere than traditional similarity relationships derived from Monin-Obukhov Similarity Theory (MOST).
by: Margaret Simon