98th American Meteorological Society (AMS) Annual Meeting

Bob Morris
December 4, 2017

Atmospheric and Environmental Research Inc. (AER) is proud to announce its important contributions to the upcoming 98th American Meteorological Society (AMS) Annual Meeting in Austin the week of January 7, 2018. AER researchers across a number of weather-related disciplines, along with co-authors at other top research institutions, will present their work in the poster and oral papers listed below (AER authors in bold type), including research in advanced data assimilation, radiative transfer modeling, environmental remote sensing, algorithm and ground system development, and numerical weather prediction.  The full scientific program for the Annual Meeting is found here:



1.      241 - Lessons Learned Processing Data from Live GOES-16 Data Using the Operational Algorithms; Erik Steinfelt, David Hogan, Edward J. Kennelly, Paul A. Van Rompay, Alexander Werbos, and T. Scott Zaccheo

2.      723 - GOES-16 Calibration and Validation for ABI Level 2 Algorithms; Paul A. Van Rompay and Edward J. Kennelly

3.      1211 - Experiments with an Optimal Spectral Sampling (OSS) Method of Assimilating Hyperspectral Satellite Data; Alan Lipton, Jean-Luc Moncet, and Pan Liang

4.      3B.5 - New Cross-Track Infrared Sounder (CrIS) Satellite Observations of Ammonia: Retrievals, Validation, and Spatiotemporal Variability; Karen E. Cady-Pereira and Mark W. Shephard

5.      3B.6 - Initial Applications of the New Cross-Track Infrared Sounder (CrIS) Satellite Observations of Ammonia; Mark W. Shephard, Shailesh K Kharol, Chris McLinden, Christopher E Sioris, Karen Cady-Pereira, Enrico Dammers, Jacob J. Siemons, Leiming Zhang, C. Whaley, Junhua Zhang, Arjo Segers, Martijn Schaap, Jason M. O'Brien, Paul, A. Makar, and Robert Vet

6.      1113 - Increased Propane Emissions from the United States over the Last Decade; Lei Hu, Steve A Montzka, Arlyn Andrews, Detlev Helmig, Ben Miller, Kirk Thoning, Thomas Nehrkorn, Marikate Mountain, Colm Sweeney, Ed Dlugokencky, Lori Bruhwiler, John Miller, Scott Lehman, James W. Elkins, and Pieter Tans

7.      1063 - CYGNSS Gridded Global Wind Vectors: Variational Analysis with GFS Backgrounds; S. Mark Leidner, Sharanya J. Majumdar, Brian D. McNoldy, Ross N. Hoffman, and Robert Atlas

8.      1064 - Impact of CYGNSS Wind Speeds and Variational Analysis Wind Vectors on HWRF Analyses and Forecasts; Bachir Annane, S. Mark Leidner, Sharanya J. Majumdar, Brian D. McNoldy, Ross N. Hoffman, Robert Atlas, Jason A. Sippel, and Zhan Zhang

9.      4.1 - Assimilation of JMA Himawari-8 AHI Clear-Sky Radiance in Operation and GOES-R ABI Radiance in GSI; Ling Liu

10.   274 - Toward Accurate, Efficient, and Consistent Global Flux Simulations; Chia-Pang Kuo, Ping Yang, Xianglei Huang, Daniel Feldman, Mark G. Flanner, Chaincy Kuo, and Eli Mlawer

11.   10B.2 - Migration of GOES-R Level 2 Processing Stream to an Automated Multi-Nodal Cloud Based Environment for Regional Level 2+ Data Processing; T. Scott Zaccheo, Erik Steinfelt, Craig Oliveira, Alexander Werbos, and David Hogan

12.   5.3 - Evaluation of Hail Size Forecasting Models during the 2016 Hazardous Weather Testbed Spring Experiment; David John Gagne, Rebecca Adams-Selin, Greg Thompson, Burkely Gallo, Amy McGovern, Glen Romine, Craig Schwartz, Nathan Snook, and Ryan A. Sobash

13.   837 - Analysis of Convectively Generated Gravity Waves in the 14–15 July 2015 Mesoscale Convective System during PECAN; Faith P. Groff, Russ S. Schumacher, and Rebecca Adams-Selin

Session Chairpersons:

14th Annual Symposium on New Generation Operational Environmental Satellite Systems; Session 13: Calibration and Validation—Part II co-chaired by Scott Zaccheo

22nd Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface; Session 12: Observation Sensitivity and Impact Experiments, Part I chaired by Mark Leidner 

American Geophysical Union (AGU) Fall Meeting 2017

Bob Morris
December 1, 2017

Atmospheric and Environmental Research Inc (AER) is pleased to announce its participation in the 2017 AGU Fall Meeting in New Orleans the week of December 11. AER researchers across a number of geophysical disciplines, along with co-authors at other top research institutions, will present their work in the poster and oral papers listed below (AER authors in bold type), including research in flood mapping, physical oceanography, seasonal forecasting and climate, environmental remote sensing, air quality, and greenhouse gas transport, modeling, and monitoring.  The full scientific program for the Fall Meeting is found here:



  1. NH23E-2833 - Mapping Daily and Maximum Flood Extents at 90-m Resolution During Hurricanes Harvey and Irma Using Passive Microwave Remote Sensing; John Francis Galantowicz, Jeffrey Picton and Ben Root
  1. H21I-1606 - Mapping global surface water inundation dynamics using synergistic information from SMAP, AMSR2 and Landsat; Jinyang Du, John S. Kimball, John Francis Galantowicz, Seungbum Kim, Steven Chan, Rolf H. Reichle, Lucas A. Jones and Jennifer D. Watts
  1. NH23E-2822 - Rapid-response flood mapping during Hurricanes Harvey, Irma and Maria by the Global Flood Partnership (GFP); Sagy Cohen, Lorenzo Alfieri, G. Robert Brakenridge, Erin Coughlan, John Francis Galantowicz, Yang Hong, Albert Kettner, Son V. Nghiem, Ana I. Prados, Roberto Rudari, Peter Salamon, Mark Trigg, Albrecht Weerts
  1. ED13F - To Know, or Not to Know - Why it is Important to Understand Both What We Know, and What We Don't Know, When Studying Our Air and Sky; Benjamin Brown-Steiner
  1. A51F-2143 - Leveraging Mechanism Simplicity and Strategic Averaging to Identify Signals from Highly Heterogeneous Spatial and Temporal Ozone Data; Benjamin Brown-Steiner, Noelle Selin, Ronald Prinn, Erwan Monier, Fernando Garcia-Menendez, Simone Tilmes, Louisa Emmons, Jean-Francois Lamarque, Philip Cameron-Smith
  1. H21I-1588 - An analysis of soil moisture and vegetation conditions during a period of rapid subseasonal oscillations between drought and pluvials over Texas during 2015; Eric Hunt, Jason Otkin, Yafang Zhang
  1. A41L-02 - Using Lagrangian Chemical Transport Modeling to Assess the Impact of Biomass Burning on Ozone and PM2.5; Alvarado, Matthew J., Chantelle R. Lonsdale, and Christopher M. Brodowski
  1. A43E-251 - Using Large-Eddy Simulation Models with Online Chemistry to Study and Parameterize the Near-Source Chemistry of Biomass-Burning Plumes; Lonsdale, C. R., C. M. Brodowski, M. J. Alvarado, J. R. Pierce, and E. R. Ramnarine
  1. A32A-07 - GreenLITE™: a novel approach for quantification of atmospheric methane concentrations, 2-D spatial distribution, and flux; Jeremy Todd Dobler, Nathan Blume, Timothy Pernini, T. Scott Zaccheo, and Michael Braun
  1. A23G-2460 - Detection and Estimation of 2-D Distributions of Greenhouse Gas Source Concentrations and Emissions over Complex Urban Environments and Industrial Sites; T. Scott Zaccheo, Timothy Pernini, Jeremy Todd Dobler, Nathan Blume and Michael Braun
  1. A23C-2349 - Impact of spectroscopic and atmospheric state knowledge on retrieved XCO2 and XCH4 column amounts from laser differential absorption spectrometer measurements; Timothy G. Pernini and T. Scott Zaccheo
  1. A13D-2104 - Enhancement and evaluation of an algorithm for atmospheric profiling continuity from Aqua to Suomi-NPP; Alan Lipton, Jean-Luc Moncet, Richard Lynch, Igor Polonsky, and Vivienne Payne
  1. A42B-04 - A Warm Arctic and Extreme Winter Weather in Northern Hemisphere Mid-Latitudes; Judah Cohen
  1. G11D-02 - Vertical land motion controls regional sea level rise patterns on the United States east coast since 1900; Christopher G. Piecuch, Peter J. Huybers, Carling Hay, Jerry X. Mitrovica, Christopher M. Little, Rui M. Ponte, and Martin Tingley
  1. A23B-2316 - Evaluation and optimization of China’s anthropogenic CO2 emissions using observations from Northern China (2005- 2009); Archana Dayalu, J. William Munger, Yuxuan Wang, Stephen Wofsy, Yu Zhao, Chris P. Nielsen, Thomas Nehrkorn, Michael B. McElroy, and Rachel Chang
  1. A23G-2456 - Quantifying point source emissions with atmospheric inversions and aircraft measurements: the Aliso Canyon natural gas leak as a tracer experiment; Sharon Gourdji, Vineet Yadav, Anna Karion, Kimberly L. Mueller, Eric A. Kort, Steve Conley, Thomas B. Ryerson, and Thomas Nehrkorn
  1. A43C-2469 - Evaluation of the consistency among in situ and remote sensing measurements of CO2 over North America using the CarbonTracker-Lagrange regional inverse modeling framework; Arlyn E. Andrews, Michael Trudeau, Lei Hu, Joshua Simon Benmergui, Marikate Ellis Mountain, Thomas Nehrkorn, Chris O’Dell, Andrew R. Jacobson, John Miller, Colm Sweeney, Huilin Chen, Felix Ploeger, and Pieter P. Tans
  1. A51M-01 - North American CO2 fluxes for 2007-2015 from NOAAs CarbonTracker-Lagrange regional inverse modeling framework; Lei Hu, Arlyn E. Andrews, Kirk W. Thoning, Thomas Nehrkorn, Marikate Ellis Mountain, Andrew R. Jacobson, Anna Michalak, Edward J. Dlugokencky, Colm Sweeney, Doug E. J. Worthy, John B. Miller, Marc Laurenz Fischer, Sebastien Biraud, Ivar R. van der Velde, Sourish Basu, and Pieter P. Tans 

AER Statement on Climate Change

Dr. Guy Seeley
June 7, 2017

At AER, we have been deeply engaged for decades in advancing many aspects of the fundamental scientific understanding of weather and climate. Our work is widely known as a definitive set of methods for evaluating the radiative properties of current and future atmospheres, and these methods are used every day in the world’s major weather forecast centers.

The scientific consensus showing a significant set of risks to human society from unconstrained carbon emissions is clear. Efforts to address global emissions are valuable and important. We are very pleased to see broad attention to the science on these topics, and we strongly concur with the Verisk statement which can be found <here>.

AER to present at IMAGE 2017 conference

Karl Pfeiffer
June 1, 2017

AER will present results from ongoing research in supporting Department of Defense modeling and simulation at the IMAGE 2017 conference in Dayton, OH, 27-28 Jun.  Under the paper and talk titled Demonstrating a Weather Simulation Federate for Distributed Mission Operations, we will discuss the case for a weather simulation federate that provides control to simulation operators and exercise controllers to adjust weather scenario content to better meet required impacts, training and analysis objectives.  We demonstrate these ideas with a prototype federate called WxSim.  These results provide insight and a starting point for significantly improving the representation of the natural environment in DoD simulations, and ultimately improving their value to analysis, training and mission rehearsal.

97th American Meteorological Society (AMS) Annual Meeting

Bob Morris
January 20, 2017

97th American Meteorological Society (AMS) Annual Meeting

Bob Morris, January 20, 2017

Atmospheric and Environmental Research Inc (AER) proudly announces its important contributions to the 97th American Meteorological Society (AMS) Annual Meeting in Seattle the week of January 23, 2017. AER researchers across a number of weather-related disciplines, along with co-authors at other top research institutions, will present their work in the poster and oral papers listed below (AER authors in bold type), including research in advanced data assimilation, radiative transfer modeling, environmental remote sensing, algorithm and ground system development, system simulation experiments, and air quality.  The full scientific program for the Annual Meeting is found here:


  1. Modeling of precipitation-impacted microwave radiances for application to assimilation in numerical weather prediction models. Moncet, J.-L., A. Lipton and P. Liang
  2. Assimilation of Hyperspectral Satellite Data Projected on Optimal Spectral Sampling (OSS) Nodes. A. Lipton, J.-L. Moncet, and P. Liang
  3. Analysis of Real-Time Monitoring and Mapping of CO2 Concentrations over Paris, France. T. Scott Zaccheo, J. T. Dobler, T. G. Pernini, N. Blume, G. Broquet, M. Ramonet, J. Staufer, and F. Vogel
  4. GOES-R Launch: Overview of Baseline Level 2 Products Generated from End-to-End Analysis and Testing. Paul A. Van Rompay, E. J. Kennelly, A. O. Schutte III, W. Wolf, S. Sampson, R. Kaiser, H. E. Snell, and T. S. Zaccheo
  5. GOES-R: Overview of Baseline Level 2 Products Generated from End-to-End Analysis and Testing. August O. Schutte III, R. Kaiser, T. S. Zaccheo, P. A. Van Rompay, H. E. Snell, W. W. Wolf, and S. Sampson
  6. Impact of Atmospheric State Uncertainties on Retrieved XCO2 Columns from Laser Differential Absorption Spectrometer Measurements and the Effect of O2-Derived Surface Pressure on XCO2 Retrieval Accuracy. Timothy G. Pernini, T. S. Zaccheo, R. L. Pernak, and E. V. Browell
  7. A Collaborative Approach for Algorithm Operationalization. Alexander Werbos, L. E. Dafoe, S. Marley, and T. S. Zaccheo
  8. A Scalable, Cloud-Based Implementation of a Complete Ground Processing System.  Alexander Werbos, D. B. Hogan, D. Hunt, C. Oliveira, H. E. Snell, T. S. Zaccheo, and E. Steinfelt
  9. Harris Multifunctional Fiber-Laser Lidar; The Transition to an Operational Instrument for an Airborne CO2 Lidar in Support of ACT-America. Jeremy T. Dobler, D. McGregor, N. Blume, S. A. Kooi, J. Digangi, K. J. Davis, C. W. O'Dell, T. S. Zaccheo, J. Campbell, E. V. Browell, and B. Lin
  10. Creating Vector Winds from Simulated CYGNSS Ocean Surface Wind Speed Retrievals Using Variational Analysis. S. Mark Leidner, B. Annane, R. N. Hoffman, and R. Atlas
  11. Severe Weather Simulation Experiment (QuickOSSE) Using Super Constellations of GNSS Radio Occultation Satellites. S. Mark Leidner, T. Nehrkorn, J. M. Henderson, M. Mountain, T. P. Yunck, and R. N. Hoffman
  12. The Cross-Calibrated Multi-Platform (CCMP) Ocean Vector Wind Analysis (V2.0). Carl A. Mears, L. Ricciardulli, J. Scott, R. Hoffman, S. M. Leidner, R. Atlas, and F. J. Wentz
  13. Impact of Simulated CYGNSS Ocean Surface Winds on Tropical Cyclone Analyses and Forecasts in a Regional OSSE Framework. Bachir Annane, B. D. McNoldy, S. M. Leidner, R. N. Hoffman, R. Atlas, and S. J. Majumdar
  14. Assimilation of CYGNSS Ocean Surface Winds in HWRF. Bachir Annane, S. M. Leidner, B. D. McNoldy, R. N. Hoffman, and R. Atlas
  15. Evaluating Model Parameterizations of Submicron Aerosol Scattering and Absorption with In Situ Data from ARCTAS 2008. Matt Alvarado, C. R. Lonsdale, H. L. Macintyre, H. Bian, M. Chin, D. A. Ridley, C. L. Heald, and C. Wang
  16. Evaluating WRF Simulations of Planetary Boundary Layer Processes during the Baltimore – Washington, DC DISCOVER-AQ Field Campaign. Jen Hegarty, J. Henderson, J. Lewis Jr., E. McGrath-Spangler, A. J. Scarino, R. Adams-Selin, R. Ferrare, E. J. Welton, and P. L. DeCola

NPR Sea Level Rise Interview

Christopher Piecuch
December 9, 2016

AER's Dr. Christopher Piecuch was recently interviewed by NPR on the topic of his sea-level rise research.  The full interview can be experienced here:

NASA features AER research on sea level changes

Christopher Piecuch
August 15, 2016

Sea level changes are a matter of serious concern for coastal communities, effecting recurrent flooding, beach erosion, saltwater intrusion, and wetland loss. Therefore, understanding the causes of past sea level changes, in order to more confidently predict sea level changes in the future, has been a major goal in climate science.

Past studies suggest that, along the United States’ northeastern seaboard, changes in sea level from one year to the next are strongly tied to changes to ocean currents in the North Atlantic, such as the Gulf Stream. However, recent research led by AER scientists Drs. Christopher Piecuch and Rui Ponte has now shown that such sea level changes along the northeast coast have more to do with the local meteorology, and less to do with the circulation in the North Atlantic.

Piecuch and Ponte, along with European colleagues, used decades’ worth of data from tide gauges up and down the United States’ northeast coast, from Virginia to Maine. They found that an ocean model, designed to simulate how the ocean responds to changes in coastal winds and air pressure, skillfully reproduced a large part of the observed sea level changes. The research clarifies how changes in sea level at the coast are related to changes in ocean circulation over the North Atlantic more broadly. It has implications for scientists trying to decipher past changes in major ocean currents or anticipate future changes in coastal sea level.

The findings were published in the Journal of Climate and Geophysical Research Letters and appear as a feature on NASA’s “Sea Level Change” website.

Are you ready for the next generation GEO MetSats?

David Hogan
February 25, 2016

A revolution in geosynchronous meteorological satellite (GEO MetSat) capability is just beginning.  2015 saw the transition to operations of the Japanese Himawari H8 satellite, hosting as a primary instrument the Advanced Himawari Imager (AHI). Soon to follow are US satellites in the GOES-R series with a very similar instrument, the Advanced Baseline Imager – launches beginning in late 2016. And after that MetSats will be launched hosting instruments with similar capabilities from Korea (GEO-KOMPSAT) and Europe (EUMETSAT’s Meteosat Third Generation series).

This emerging generation of instruments provides dramatic improvements in spatial resolution, number and quality of the spectral bands and refresh making possible dramatic new environmental monitoring capabilities, but at a cost: an over 50x increase in throughput.

Our team at AER has recently demonstrated the capabiltiies of this emerging generation of satellites by applying technology and algorithms AER orighinally developed for to be launched GOES-R satellite on Himawari AHI data. We are tremondously excited about the power offered by this new generation satellite technology, The high resolution instrument provide stunning imagery, especially when combined with AER's multi-spectral and pan-sharpened image enhancement techniques. The additional spectral bands provide more and better quality environmental products, increasing your ability to accurately observe critical weather pheonomena.

Powered by AER’s Algorithm Workbench, we offer a complete solution:



Clouds: cloud mask, cloud properties, low cloud and fog Imagery: enhanced multi-spectral and pan sharpened
Multi-level winds: cloud and water vapor tracked Aerosols type and properties, dust and smoke
Temperature and water vapor profiles, stability indices, column water vapor Vegegation indices
Sea and land surface temperature Rainfall rate
Volcanic ash detection/ height Fires, hot spots and gas flares


Enhanced Imagery Sample Products


Here's an action-packed video to watch!


To learn more about GEO MetSat processing solutions to unlock the capabilities of this next genration of GEO MetSats for you, download this brochure or contact David Hogan using the Contact Us page.




AER Leads Research Initiative to Provide More Comprehensive View of Future Coastal Floods

Chris Little
September 21, 2015

AER scientist Chris Little led the development of an innovative, broadly applicable methodology for analyzing future coastal floods. The research was published today in Nature Climate Change.

"The newly developed technique is a significant contribution because it provides a more comprehensive view of the future coastal flood hazard, in which changes are summarized using a fully probabilistic flood index. The combines approaches to quantify both changes in storminess and increases in the baseline sea level."

According to lead author Christopher Little of Atmospheric and Environmental Research (AER), “These projections help lay the groundwork for more specific research that will be valuable for adapting to climate change.”

"Now we can combine changes in sea level and storminess into the same analysis, which allows us to assess the coastal flood risk more comprehensively. Similar assessments of so-called joint hazards (for example, heat and humidity, or storm surge and rainfall-driven flooding) are critical to understanding the full scope of climate change risks.”

Read more on this research and announcement:

AER Introduces the Algorithm Workbench at the 2015 NOAA Satellite Conference

Scott Zaccheo
May 12, 2015

I recently returned from the 2015 NOAA Satellite Conference, a widely attended international conference sponsored by NOAA's National Satellite and Information Service (NESDIS).  It was exciting to spend a full week interacting with an internationally diverse set of environmental satellite data users, scientists and algorithm/software developers, all interested in current and future NOAA programs and products.

At the conference, I worked with an AER team to present and demonstrate the Algorithm Workbench (AWB), a comprehensive toolkit facilitating the transition of remote sensing algorithms from research to operations (and back again) – also referred to as the R2O and O2R processes.  The AER Algorithm Workbench is the outcome of decades of experience at Atmospheric and Environmental Research (AER) transitioning science/scientific software to practical solutions.  It evolved from the algorithm development and test framework we developed and employed as part of our work implementing and testing the level 1 and 2 product generation algorithms for GOES-R.

The Algorithm Workbench is designed to support the larger objectives of NOAA, as well as other research/operational institutions, to evolve to a standardized enterprise ground architecture.  The science algorithm development/processing framework is a key element of any ground processing architecture.  We designed the Algorithm Workbench to fit in this niche. It supports a common set of interfaces across the development, test and production environments along with a standardized algorithm template. The Algorithm Workbench provides multi-language support including C++, FORTRAN and Python.

At the conference, we presented some recent results evaluating a multi-cloud-algorithm precedence network (producing a cloud mask, cloud phase and cloud top properties) on data from Japan's recently launched Himawari satellite. The Himawari imager <<link>> has the same basic design as the GOES-R imager with only minor channel differences and so is an excellent basis for testing the GOES-R algorithms. With only minor tuning, the out of the box products look excellent.  Although this is only the first step in a rigorous validation process, these initial result indicate both the exciting capabilities that will be available in the US with the upcoming GOES-R launch next year.

I am looking forwards to next year's NSC, which will be held shortly before the GOES-R satellite launch ushers in a new era for geosynchronous satellite remote sensing.

Here are a few items of interest.

If you would like to learn more about the Algorithm Workbench and see how it might support your needs, please contact myself, Scott Zaccheo, or David Hogan.