S. Mark Leidner

Mark Leidner has over fifteen years experience in atmospheric modeling and 18 years in scientific research and development. Mr. Leidner has been the lead scientist on AER's ensemble forecast (eCast) service since its conception in 2001. Currently he is the business and science lead with the University of Oklahoma at an AER branch office in Norman, Oklahoma. He has a BS in Engineering from Carnegie Mellon (1989) and a MS in Meteorology from Penn State. Mr. Leidner's graduate work involved numerical weather prediction and data assimilation under Dr. David Stauffer, the Principal Developer of the PennState/NCAR MM5. He spent fifteen months at the European Center for Medium Range Weather Forecasts working as a consultant on surface winds from the NASA scatterometer instrument. At ECMWF, he introduced the use of scatterometer data in the Centre's 4D-variational analysis assimilation system. He did similar work on the MM5 model for the Turkish State Meteorological Service and the MIT Haystack Observatory, among other NASA and NOAA funded research projects. His science interests are largely focused on numerical weather prediction, ensemble forecasting, and controlled weather modification simulated through models.

Severe Weather Study Shows Potential of GNSS-RO

Type: Report In a novel application of space-based atmospheric measurements, Atmospheric and Environmental Research (AER) of Lexington, Massachusetts, in collaboration with GeoOptics of Pasadena, CA, is investigating the use of radio occultation (RO) measurements to improve severe weather forecasting.  Pairing state-of-the-art, high-fidelity weather models with the rapidly evolving technology o...

Assimilation of QuikSCAT Observations for Typhoon Mindulle (2004)

By C. Holt, Ross Hoffman, S. Mark Leidner, et al.
January 10, 2013

17th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS)

Performance characteristics of a Kalman filter-based bias correction technique

Fourth Conference on Weather, Climate, and the New Energy Economy

WRF-based hurricane simulation in the Environmental Data Cube Support System

26th Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology