ARL Weekly News – July 1, 2022
Implementation of HYPSLIT v8 planned for fall of 2022.
ARL’s HYSPLIT team and EMC are preparing to implement HYPSLIT v8 into operations in the fall of 2022. A briefing to the NCEP directors is scheduled for July 14th. Please let Alice Crawford or Jeff McQueen know if you would like to attend. As part of this process, Alice Crawford provided a briefing to the change control board (CCB) on June 27th.
HYSPLIT v8 will include the following:
- Operational HYSPLIT code will be updated to the most recent version.
- Time of arrival graphics for Regional Specialized Meteorological Centers (RSMC) will be generated to fulfill request from International Atomic Energy Agency (IAEA).
- HYSPLIT coupling to high resolution ensemble forecast (HREF) and global ensemble forecast system (GEFS) will be implemented. The coupling with GEFS will allow for a probabilistic volcanic ash forecast which will help fulfill new requirements for the volcanic ash advisory centers (VAACs).
- Coupling with HREF will allow production of probabilistic products for use in emergency response to chemical releases and planning for prescribed burns.
Travis J. Schuyler Awarded Peter Lamb Postdoctoral Fellowship
Travis J. Schuyler, a Postdoctoral Research Associate through the Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO), will continues his residency at ARL’s Atmospheric Turbulence and Diffusion Division as a CIWRO Peter Lamb Postdoctoral Fellow. Travis’s research will investigate the use of small uncrewed aircraft systems (sUAS) to improve our knowledge of boundary layer properties and processes. Travis’s work will advance Eddy Covariance flux measurements with sUAS and the scalability of sUAS observations to model grid sizes in complex terrain. This work will yield improvements to short and medium range forecasting through novel observation and data analysis techniques that contribute to improved land-atmosphere parameterizations over heterogeneous surfaces.
A multi-city urban atmospheric greenhouse gas measurement data synthesis
Mitchell, LE; Lin, JC; Hutyra, LR; Bowling, DR; Cohen, RC; Davis, KJ; DiGangi, E; Duren, RM; Ehleringer, JR; Fain, C; Falk, M; Guha, A; Karion, A; Keeling, RF; Kim, J; Miles, NL; Miller, CE; Newman, S; Pataki, DE; Prinzivalli, S; Ren, XR; Rice, A; Richardson, SJ; Sargent, M; Stephens, BB; Turnbull, JC; Verhulst, KR; Vogel, F; Weiss, RF; Whetstone, J; Wofsy, SC. A multi-city urban atmospheric greenhouse gas measurement data synthesis. Sci Data 9, 361 (2022). https://doi.org/10.1038/s41597-022-01467-3
Abstract: Urban regions emit a large fraction of anthropogenic emissions of greenhouse gases (GHG) such as carbon dioxide (CO2) and methane (CH4) that contribute to modern-day climate change. As such, a growing number of urban policymakers and stakeholders are adopting emission reduction targets and implementing policies to reach those targets. Over the past two decades research teams have established urban GHG monitoring networks to determine how much, where, and why a particular city emits GHGs, and to track changes in emissions over time. Coordination among these efforts has been limited, restricting the scope of analyses and insights. Here we present a harmonized data set synthesizing urban GHG observations from cities with monitoring networks across North America that will facilitate cross-city analyses and address scientific questions that are difficult to address in isolation.
|Measurement(s)||carbon dioxide • methane • carbon monoxide|
|Sample Characteristic – Environment||city|
|Sample Characteristic – Location||North America|