The Ad-Hoc Mixing Layer Height Working Group gathers leaders in government and academia engaged in remote sensing, meteorology and air quality management/forecasting, with the opportunity to learn and provide feedback on the development/strategy of mixing layer height retrievals/algorithms and observations. If you will like to join the group click here.
December 5, 2016 (Kick-off Webinar)
Belay Demoz (JCET/UMBC): Update: Saving Ceilometer Data from the Automated Surface Observing System (ASOS)
Kevin A. Cavender and James Szykman (EPA): Upcoming Changes to the EPA Photochemical Assessment Monitoring Stations (PAMS) Network; New Measurement Requirement for Mixing Heights and Current Activities
Jasper Lewis (JCET/NASA GSFC): MPLNET (Micropulse Lidar Network)
Ruben Delgado (JCET/UMBC): Lower Troposphere Remote Sensing Activities at UMBC
March 10, 2017 (Modeling)
Pius Lee/Barry Baker (NOAA): Forecast Performance of NAQFC (National Air Quality Forecasting Capability) is Highly Sensitive to PBL Prediction Accuracy
Pat Dolwick (EPA): MLH issues in EPA OAQPS National Modeling
Tim Canty (University of Maryland): SIP Modeling and the role of Boundary Layer Dynamics
October 31, 2017 (MLH Retrievals, Forecasting, Instrumentation)
Tim Bonin (NOAA ESRL): Mixed Layer Height Measurements from Doppler Lidar Using Composite Method
Jeff McQueen (NWS):The Impact of Meteorology on the National Air Quality Forecast Capability Ozone Predictions
David Sonnenfroh (Physical Science Inc): A Compact Ceilometer for Remote Network Deployment
April 11, 2018 (Instrumentation: Ground and Satellite, Modeling)
Christopher Thaxton (Appalachian State University): Toward Improved Correlations between WRF Model and Remotely-sensed PBL Height Retrievals for the Southern Appalachian Mountains
Guillermo Esquivel (Lufft): Lufft CHM8K and CHM15K Ceilometers Detecting Aerosol-layer Height
Paul Drewniak (NRG Systems): Capabilities and Benefits of Coherent Doppler LIDARs for Local Weather Observation Networks
Joseph Santanello (NASA GSFC): Impact and Improvement of PBL Retrieval from Space (Supplements: iLEAPS17 and PBL Retrieval from Space: Challenges and Imperative)